competitive pricing by a price leader we examine the problem of pricing in a market where one brand acts as a price leader we develop a procedure to estimate a leader s price rule which is optimal given a sales target objective and allows for the inclusion of demand forecasts we illustrate our estimation procedure by calibrating this optimal price rule for both the leader and the follower using data on past sales and prices from the mid size sedan segment of the u s automobile market our results suggest that a leader follower system stackelberg seems more consistent with the pricing behavior in this market than a mutually independent pricing rule nash we also find that our optimal price rule explains this market data better than other pricing schemes that do not account for optimizing behavior on the part of the leader and the follower

should a carbon tax be differentiated across sectors abstract if some but not all countries are cooperating to reduce co2 emissions one could make the following argument a high carbon tax for carbon intensive tradeable sectors in the cooperating countries will reduce the production of goods from these sectors and therefore co2 emissions in the cooperating countries however this will to a large extent be counteracted by increased production of such goods in the countries that have no climate policy and since it is only total co2 emissions from all countries that are relevant for the climate there is no point in a policy that simply relocates co2 emissions from the cooperating countries to the countries that have no climate policy according to this line of reasoning carbon intensive tradeable sectors should thus face a lower carbon tax than other sectors of the economy this paper shows that a carbon tax should not be differentiated across sectors in the economy provided one can use import and export tariffs on all traded goods it is also shown that such a differentiation of carbon taxes is optimal for the cooperating countries if they are prevented from using tariffs on the traded goods however informational or political factors constraining the use of tariffs are likely also to constrain the possibility of differentiating carbon taxes between sectors

financial incentives to mobilise local citizens as investors in low carbon technologies a systematic literature review abstract mobilising greater levels of private finance through local citizen investment in low carbon technologies can help bridge the capital shortfall to meeting climate objectives while also building societal support for the low carbon transition within this context we undertake a systematic review of literature assessing the impact of technology specific economic and financial incentives promoting greater levels of investment in low carbon technologies from local citizen investors both individuals and community groups we focus in particular on the impact of feed in tariffs compared to quota schemes grants tax incentives and soft loans the analysis suggests that local citizen investors do not necessarily act in an economically rational manner in response to these incentives it underscores the importance of understanding the preferences of target demographics the local context as well as the characteristics of the technologies in question and suggests interventions should be considered as part of wider policy packages while identifying challenges to be overcome through instrument design we find that feed in tariffs grants and tax incentives can be successful in mobilising greater levels of investment from local citizen investors but that soft loans tend to be less effective as a stand alone instrument the review identifies areas meriting further exploration in this emerging field of research

long run carbon emission implications of energy intensive infrastructure investments with a retrofit option abstract investments in long lived fossil fuel intensive infrastructure can have large effects on carbon emissions over a long future period we simulate a 2 period model of infrastructure investment with subsequent retrofit to purge its carbon emissions under uncertainty about climate and retrofit costs the energy intensity chosen upon investment depends on current and expected future energy and environmental costs and on future retrofit cost simulations of a simplified but realistic model indicate that energy consumption and carbon emissions can be highly excessive when future energy and climate costs are not considered at the time infrastructure investments are made and charged at globally suboptimal rates when operated often by more than 50 when energy costs are undervalued at this rate both ex ante and ex post good anticipated retrofit options reduce ex post energy costs but lead to ex ante choice of more energy intensive infrastructure which could more than fully offset the energy reducing effect of the retrofit these results are of particular importance for emerging economies with large current and anticipated energy related investments where long term climate policy goals may be seriously jeopardized by policy makers facing too low energy prices now and in the future

consumers in the green electricity market in finland abstract green electricity i e electricity produced from environmentally less harmful sources and marketed as such has been available to finnish households since 1998 but the demand for it has remained low in this paper we discuss the barriers identified by consumers to purchasing green electricity and contrast these with the interpretation energy sector actors give to consumer passivity the empirical material consists of thematic interviews energy policy actors often assume that consumers passivity signifies their lack of interest or low environmental consciousness this results partly from the failure to differentiate between the roles of consumer and citizen the interpretation the energy sector actors give to consumer passivity and the role they assign to consumers affect the direction of green electricity policy we argue that consumers need more information on both the environmental impact of different electricity products and in particular about the electricity supply and electricity contracts in a liberalised electricity market if they are to become active in the market

the optimal ordering policy of the eoq model under trade credit depending on the ordering quantity from the dcf approach abstract this paper discusses the optimum order quantity of the eoq model that is not only dependent on the inventory policy but also on firm credit policy here the conditions of using a discounted cash flows dcf approach and trade credit depending on the quantity ordered are discussed we consider that if the order quantity is less than at which the delay in payments is permitted the payment for the item must be made immediately otherwise the fixed trade credit period is permitted this paper incorporates all concepts of a discounted cash flows dcf approach trade credit and the quantity ordered and develops a new inventory model to generalize chung chung k h 1989 inventory control and trade credit revisited journal of the operational research society 40 495 498

a periodic review production planning model with uncertain capacity and uncertain demand optimality of extended myopic policies increasing product complexity manufacturing environment complexity and an increased emphasis on product quality are all factors leading to uncertainties in production processes these uncertainties are in the form of unplanned machine maintenance varying production yields and rework among others in planning for production an adequate model must incorporate these uncertainties into the representation of the production process this paper treats the aggregate planning problem for a single product with random demand and random capacity in the single period problem random capacity does not affect the optimal policy but results in a unimodal nonconvex cost function in the multiple period and infinite horizon settings order up to policies that are dependent on the distribution of capacity are shown to be optimal in spite of a nonconvex cost in the infinite horizon setting an intuitive description of the situation leads to the notion of a class of extended myopic policies requiring the consideration o

policy implications of the purchasing intentions towards energy efficient appliances among china s urban residents do subsidies work incentive policies are always used to sway purchase retail stocking and production decisions toward energy efficient products by many countries or regions so the effectiveness of such subsidies has been of much concern to scholars this research focused on whether or not subsidy policies have guided people s intentions and behaviours we investigated 436 urban residents from 22 provinces in china covering the seven major geographic regions and made an empirical analysis of the factors influencing chinese urban residents purchasing intentions towards energy efficient appliances based on the structural equation model on theoretical aspect we developed the theory of planned behaviour our results show that the variable policy is insignificant which indicates that policy environment and media propaganda in china do not have significant effect on chinese residents willingness to pay for energy efficient appliances while the residents environmental awareness past purchasing experiences social relationships age and level of education all exert a significant influence on chinese residents purchasing intentions finally based on the above research results the corresponding policy suggestions which mainly focus on the time of subsidy the object of subsidy and the method of subsidy are offered for policy makers

a review of trade credit literature opportunities for research in operations abstract trade credit arises when a buyer delays payment for purchased goods or services its nature has predominantly been an area of inquiry for researchers from the disciplines of finance marketing and economics but it has received relatively little attention in other domains in our article we provide an integrative review of the existing literature and discuss conflicting study outcomes we organize the relevant literature into seven areas of inquiry and analyze four in detail trade credit motives order quantity decisions credit term decisions and settlement period decisions additionally we derive a detailed agenda for future research in these areas

predicting the competitive relationships of industrial production between taiwan and china using lotka volterra model abstractthis work is the first to apply lotka volterra model combined with genetic algorithm ga to predict the production relationships of high tech industry among different areas previous studies analysed the trade interdependency among various countries but few studies have highlighted the quantitative evidence of production relationships thus this study utilizes motherboard shipment volumes to predict the competitive relationships of industrial production on both sides of the taiwan strait specifically this work uses simultaneous non linear least square regression in combination with gas for numerical parameter optimization of the proposed lotka volterra model the results of parameter estimation reveal that shipment growth in china substantially promotes that in taiwan whereas the shipment growth in taiwan curtails that in china the standard deviation of the estimated parameters from the 3000 iterated simulations is small confirming the reliability and stability of our parameter estimations

profit maximizing perceptual positions an integrated theory for the selection of product features and price an important component of marketing strategy is to position a product in perceptual space but to realize a perceptual position we must model the link from physical characteristics to perceptual dimensions and we must use this model to maximize profit this paper integrates psychological theories on how consumers process information with economic models and psychometric measurement and it develops a theory for selecting physical features and price to achieve a profit maximizing perceptual position the theory begins with a lancaster like transformation from goods space to characteristics space and investigates the implications of a mapping to a third space perceptual space we show that all products efficient in perceptual space must be efficient in characteristics space but not conversely but consumers vary in their preference and the way they perceive products thus we introduce distributional components to the theory and derive both geometric and analytic methods to incorporate this consumer heterogeneity next we investigate costs and derive a perceptual expansion path along which a profit maximizing position must exist conjoint analysis and quantal choice models provide the measurements to implement the theory the theory is illustrated with a hypothetical example from the analgesics market and some of the potential psychometric measurements are illustrated with an empirical application in the communications market

the effects of expectations on technology adoption some empirical evidence n rosenberg 1976 argues that in many markets prospective buyers for an innovation are strongly influenced by expectations concerning the timing and significance of future improvements the primary objectives of this article are to provide a model of the innovation decision process of user firms that expect improvements in current best technology and to offer an empirical study that tests the model s predictions among other results the author finds empirical support for rosenberg s argument and demonstrates theoretically that compared to models without technological expectations and learning the optimal decision process is nonmonotonic copyright 1994 by blackwell publishing ltd

defensive marketing strategies this paper analyzes how a firm should adjust its marketing expenditures and its price to defend its position in an existing market from attack by a competitive new product our focus is to provide usable managerial recommendations on the strategy of response in particular we show that if products can be represented by their position in a multiattribute space consumers are heterogeneous and maximize utility and awareness advertising and distribution can be summarized by response functions then for the profit maximizing firm it is optimal to decrease awareness advertising it is optimal to decrease the distribution budget unless the new product can be kept out of the market a price increase may be optimal and even under the optimal strategy profits decrease as a result of the competitive new product furthermore if the consumer tastes are uniformly distributed across the spectrum a price decrease increases defensive profits it is optimal at the margin to improve product quality in the direction of the defending product s strength and it is optimal at the margin to reposition by advertising in the same direction in addition we provide practical procedures to estimate 1 the distribution of consumer tastes and 2 the position of the new product in perceptual space from sales data and knowledge of the percent of consumers who are aware of the new product and find it available competitive diagnostics such as the angle of attack are introduced to help the defending manager this article was originally published in marketing science volume 2 issue 4 pages 319 360 in 1983

demand modeling of stochastic product diffusion over the life cycle abstract planning during the product life cycle plc poses a number of challenges for managers due to the pace of change and uncertainties in the marketplace the ability to better understand predict and make decisions based on manifestations of demand forms a set of important operational problems that ultimately affect the profitability of enterprises this paper models the stochastic diffusion of a product in the market as a geometric brownian motion gbm process that has a time varying drift rate the model is calibrated such that model parameters are able to feature different product types and diffusion conditions imperfect information on the expected peak demand is treated as model uncertainty and a bayesian approach is employed to update knowledge on it the demand model demonstrates robust performance over a wide range of conditions despite model uncertainty it provides both qualitative and quantitative information for manufacturers and service providers to design strategies for stochastic plc conditions as well as dynamic production planning

balancing retailer inventories this paper examines the optimality of inventory balancing in a one warehouse n retailer distribution system facing stochastic demand for a single product over t successive time intervals in particular we consider the division of predetermined quantities of warehouse stock among retailers in each interval balancing attempts to bring the retailer inventories to the same normalized with respect to first interval demand net inventory level when the demand distribution over the t periods is symmetric with respect to all pairs of retailers and retailer cost over the t intervals is a convex function of the t shipments we show that balancing divisions are optimal the required convexity condition is shown to be satisfied for some familiar cost functions when shortages are backordered and lost however for other cost functions the convexity condition is satisfied under backordering but not under lost sales we also consider the nonidentical retailer demands are not symmetric case and provide examples

life cycle inventory policy characterizations for a single product recoverable system abstract this paper investigates the optimal inventory policies over the life cycle of a remanufacturable product the product is produced through manufacturing or remanufacturing benefiting from the long run optimal policies found through markov decision analysis the optimal or near optimal policy characterizations with practical structure are determined for every life cycle stage under several setup cost configurations the effects of changes in the demand and return rates on the optimal inventory policies are investigated through these policies further a performance comparison with a pull strategy is provided the performance of these long run policies is evaluated as well in a finite horizon setting and the importance of frequent policy revision over the product life cycle is illustrated numerically

economic and emissions implications of load based source based and first seller emissions trading programs under california ab32 in response to assembly bill 32 the state of california considered three types of carbon emissions trading programs for the electric power sector load based source based and first seller they differed in terms of their point of regulation and in whether in state to out of state and out of state to in state electricity sales are regulated in this paper we formulate a market equilibrium model for each of the three approaches considering power markets transmission limitations and emissions trading and making the simplifying assumption of pure bilateral markets we analyze the properties of their solutions and show the equivalence of load based first seller and source based approaches when in state to out of state sales are regulated under the cap a numeric example illustrates the emissions and economic implications of the models in the simulated cases leakage eliminates most of the emissions reductions that the regulations attempt to impose furthermore contract reshuffling occurs to such an extent that all the apparent emissions reductions resulting from changes in sources of imported power are illusory in reality the three systems would not be equivalent because there will also be pool type markets and the three systems provide different incentives for participating in those markets however the equivalence results under our simplifying assumptions show that load based trading has no inherent advantage compared to other systems in terms of costs to consumers contrary to claims elsewhere

evaluating alternative capacity strategies in semiconductor manufacturing under uncertain demand and price scenarios abstract because product demand is very volatile and machine and process technologies are advanced at a rapid pace capacity planning and investment in the semiconductor industry is a challenging task many studies have addressed mid and short term machine portfolio planning tasks of capacity planning however capacity planning should be considered in a framework of strategy planning in order to address the whole problem this paper describes a method of analysis for adapting capacity strategy to changing business environment the paper has three major parts in the first part empirical data analysis of a case study company yields predictive formulas for production and capacity costs the uncertainty of demand is also calibrated using the geometric brownian motion process in the second part experiments are designed to simulate demand and profit scenarios for comparing two capacity strategies in the third part the resultant data of simulation are analysed to gain insights to the relative performance of the two strategies in various scenarios the analysis method provides a framework for formulating capacity strategy and for integrating capacity planning with business planning

what should you do when your competitors send in the clones this paper develops a model to address an important problem facing a manufacturer of a durable product that is how can it plan its new product introductions to minimize the obsolescence of the old product preserve its market for the new product and keep copycat products at bay we analyze these issues by developing a two period model in which a firm sells an old product in period 1 and a new product in period 2 we consider various new product introduction strategies such as product replacement line extension and upgrading we find that the optimal response to a threat of competitive clones is to increase the level of product innovation this increase in innovation coupled with the entry of a competitive product implies that the incumbent firm has less of an incentive to leapfrog the old product or shelve the new product

the effect of economic uncertainty on inventory and working capital for manufacturing firms abstract this paper develops an empirical model to investigate the impact of macro economic risk on working capital and the various types of inventory our analysis helps manufacturing firms anticipate the implications of high macro economic risk measured through the economic policy uncertainty epu index on their operations using a sample of 6503 us manufacturing firms during the period 1990 2018 we show that epu drives high levels of inventory thus corroborating existing theories about random disruptions raising safety stock levels we also show that increased economic uncertainty yields higher trade credits payables and working capital thus requiring firms to tie more capital to their operations our results are statistically significant yet these effects are small at the firm level the results are robust when applying the monetary policy uncertainty mpu index to the subsample of the data from 1990 to 2007 instead of the epu index to the same data set

optimal production and inventory policy for multiple products under resource constraints we show that a modified base stock policy is optimal for multiproduct infinite horizon production inventory systems where demand for the products is random and the products share a finite resource every period we characterize the optimal policy for the case of homogeneous products because of the difficulty in computing the optimal base stock levels for the heterogeneous case we propose a heuristic that is simple enough for practical applications we present numerical results that suggest that the heuristic yields near optimal solutions

energy saving in swedish households the relative importance of environmental attitudes the objectives for energy saving in the housing sector set by recent swedish energy and climate policies are quite demanding this article uses nation wide swedish survey data from 2004 to 2007 to explore the potential for achieving those targets earlier findings that socio economic characteristics such as age housing type and income are strongly linked to higher propensities to save on heating and hot water usage are confirmed by ordered logistic regression models however general environmental attitudes are also found to play a crucial role when assessing the relative importance of socioeconomic factors and environmental attitudes the effect on energy saving is generally greater for the former than the latter in addition important interaction effects are identified in relative terms the effect of environmental attitudes is clearly stronger among households in apartment blocks than among those in detached housing and stronger among households with higher income than among those with lower income we end by discussing the implications for the selection and targeting of policy measures to tap the energy savings potential in the population

a joint economic lot size model with financial collaboration and uncertain investment opportunity establishing long term relationships among the members of a supply chain has become necessary to enhance the supply chain s competitiveness in a globalized environment besides coordinating operational decisions such as how much and when to produce or to order the members of a supply chain may also share financial resources or act jointly on the capital market this is important especially when companies have unequal access to capital for example because they are located in countries with different economic conditions and banking policies and or they have different credit ratings the joint financing of investments across the supply chain may thus ensure the stability of production and of the flow of products to the customers in addition it strengthens the established relationships among the supply chain members the paper at hand takes up these issues and presents a joint economic lot size model that allows investments financed cooperatively by the members of the supply chain in particular it considers a two stage single vendor single buyer supply chain and assumes that the vendor has the option to invest in increasing its production rate the outcome of these attempts to improve production capabilities however is uncertain and subject to an investment success probability due to different access to capital the vendor and the buyer may also share the investment and the outcome uncertainty which can be beneficial to both parties

manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle abstract semiconductor industry is capital intensive in which capacity utilization significantly affect the capital effectiveness and profitability of semiconductor manufacturing companies thus demand forecasting provides critical input to support the decisions of capacity planning and the associated capital investments for capacity expansion that require long lead time however the involved uncertainty in demand and the fluctuation of semiconductor supply chains make the present problem increasingly difficult due to diversifying product lines and shortening product life cycle in the consumer electronics era semiconductor companies must forecast future demand to provide the basis for supply chain strategic decisions including new fab construction technology migration capacity transformation and expansion tool procurement and outsourcing focused on realistic needs for manufacturing intelligence this study aims to construct a multi generation diffusion model for semiconductor product demand forecast namely the smprt model incorporating seasonal factor s market growth rate m price p repeat purchases r technology substitution t in which the nonlinear least square method is employed for parameter estimation an empirical study was conducted in a leading semiconductor foundry in hsinchu science park and the results validated the practical viability of the proposed model this study concludes with discussions of the empirical findings and future research directions

what s driving energy efficient appliance label awareness and purchase propensity the eu appliance energy consumption labeling scheme is a key component of efforts to increase the diffusion of energy efficient household appliances in this paper the determinants of consumer knowledge of the energy label for household appliances and the choice of class a energy efficient appliances are jointly estimated using data from a large survey of more than 20 000 german households the results for five major appliances suggest that lack of knowledge of the energy label can generate considerable bias in both estimates of rates of uptake of class a appliances and in estimates of the underlying determinants of choice of class a appliance simulations of the choice to purchase a class a appliance given knowledge of the labeling framework reveal that residence characteristics and in several cases regional electricity prices strongly increase the propensity to purchase a class a appliance but socio economic characteristics have surprisingly little impact on appliance energy class choice

factors influencing willingness to pay for the energy star label abstract in the united states nearly 17 of greenhouse gas emissions come from residential energy use increases in energy efficiency for the residential sector can generate significant energy savings and emissions reductions consumer labels such as the us environmental protection agency s energy star promote conservation by providing consumers with information on energy usage for household appliances this study examines how the energy star label affects consumer preferences for refrigerators the results of an online survey of a national sample of adults suggest that consumers are on average willing to pay an extra 249 82 349 30 for a refrigerator that has been awarded the energy star label furthermore the results provide evidence that respondent willingness to pay was motivated by both private energy cost savings and public environmental benefits

distributional impacts of investment subsidies for residential energy technologies abstract this study analyses the distributional impacts of investment subsidies paid to households that install residential energy technologies based on renewable energy sources the subsidies covering a significant part of the total investment play a considerable role in households energy decisions depending on their design support measures may provide the most benefits to certain groups of society and thus may cause increasing inequality the potential distributional impacts of the investment subsidies are determined by the combination of technologies targeted and their costs household income support intensity subsidy design restrictions and the availability of additional measures this study examines the support system for residential renewable energy technologies in the lithuanian case by employing a microsimulation model this analysis of existing measures provides more general results and highlights the policy features that cause distributional impacts therefore the results are applicable in other countries as well the analysis shows that although the support is efficient from an energy point of view it provides the most benefits to households with higher income and thus increases inequality moreover the subsidies fail to reduce energy poverty due to the poorest households low capacity to invest to obtain a flatter distribution of benefits the design of support measures should consider the current situation of lower income households and affordability issues

focusing the financial flow of supply chains an empirical investigation of financial supply chain management the objective of this paper is to establish a theoretical foundation for financial supply chain management fscm in order to strengthen managerial decisions concerning financial flows in supply chains although such decisions are made frequently and partial aspects of fscm are already understood in business practice empirical knowledge about fscm is in its early stages the study provides fundamental information derived from eight case studies based on 40 interviews the analysis extends previous studies of the interface between operations management and finance by i contributing to a mid range theory of fscm by exploring two distinct but not exclusive fscm categories their antecedents and performance effects ii empirically deriving a testable framework for fscm iii relating fscm to established theories in the field of scm and iv basing the analysis on transaction cost economics managerial insights reveal that weak working capital causes firms to focus on fscm more specifically the study identifies two fscm categories pre shipment fscm before invoice release and post shipment fscm after invoice release managers can improve upstream supply chain working capital with pre shipment fscm whereas post shipment fscm strengthens the buying firm s working capital position based on transaction cost economics we analyze how these improvements stem from risk reductions which are more effective if firms are integrated internally and externally

supply chain efficiency value creation and the economic crisis an empirical assessment of the european automotive industry 2002 2010 abstract this paper seeks to evaluate the development of supply chain sc efficiency and the resulting impacts on company value in a secondary data analysis of the european automotive industry the trends of cost efficiency and working capital performance in the years 2002 2010 and the resulting value impacts are assessed it is detected that many companies failed to manage cost and working capital in a balanced and value adding way which resulted in considerable value losses the economic crisis is identified as an amplifier but not the major cause of these negative trends originality and value of the paper arise from the scarcity of financial analyses that focus on the car sector or that measure and compare several factors of sc efficiency or value creation

marketing mix variables and the diffusion of successive generations of a technological innovation abstract research addressing the diffusion of successive generations of technological innovations has generally ignored the impact of marketing mix variables as a result there have been several calls for the development of multiple generation models that incorporate marketing mix variables the authors develop a model of first time sales and subscriptions for successive generations of a technological innovation which explicitly captures the effects of marketing mix variables through a proportional hazards framework the empirical analysis estimates the impact of price for two generations of cellular telephones in a european country the results suggest that there are important substantive insights to be gained from the parameter estimates for this marketing mix variable when intergenerational interdependencies are considered for example although the time path of the estimated price elasticities in a multiple generation setting closely follows those reported previously for single generations the auth

price premium for high efficiency refrigerators and calculation of price elasticities for close substitutes a methodology using hedonic pricing and demand systems this article uses the hedonic pricing method to estimate the price premium paid for the highest energy efficiency label a in the refrigerators market of the basque autonomous community spain the estimated figure is 8 9 of the final price or about 60 euro which represents one third of the energy savings that a consumer gets during the lifetime of a refrigerator with the highest energy efficiency label this figure is then combined with the linear version of the almost ideal demand system la aids to obtain own and cross price elasticities of demand the information presented here is useful for policy design and analysis the results indicate that the demand for refrigerators with the highest energy efficiency label is highly sensitive to price variations

market segmentation self selection and product line design the purpose of this paper is to develop a theory of market segmentation based on consumer self selection the extant theory is based on the third degree price discrimination model of pigou central assumptions of which are that the firm can directly address individual segments and isolate them by using consumer self selection i am relaxing these assumptions in the context of a monopolist designing a product line i show that this relaxation has significant implications for how the products and prices are chosen and what they look like in particular segments may be aggregated even though there are no economies of scale furthermore consumer self selection enables us to model cannibalization and competition among firms

exploring domestic energy saving the role of environmental concern and background variables abstract the main purpose of this paper is to investigate whether residents environmental concern has any effect on their energy saving curtailments and efficiency investments the novelty of the present work lies in the fact that it seeks to investigate this topic in a multi country setting exploiting data from nine oecd countries australia canada czech republic france italy south korea netherlands norway and sweden and also in that it employs a latent variable model which allows us to examine the conditions necessary for the results to be comparable across different countries novel in this paper is also the focus on the role of environmental concern as a factor of several curtailments and efficiency investments our results suggest that people with higher environmental concern are on average more likely to perform energy saving curtailments and also are more likely to have some energy efficiency retrofits installed in dwellings most of the socio economic and demographic variables have mixed effects on efficiency investments and curtailments however some interesting patterns emerged with respect to the age of respondents household income education and gender of respondents and also the size of household

do subsidies work better in low income than in high income families survey on domestic energy efficient and renewable energy equipment purchase in china abstract domestic energy efficient and renewable energy eere equipment shows a great energy saving potential in household energy consumption two rounds of large scale financial subsidy programs have been developed in china since 2010 to promote the adoption of green equipment however how these subsidies attract chinese families of different income levels is not fully explored given this knowledge gap we conducted a self completion questionnaire survey in 2012 to ask 526 respondents about their purchase of domestic eere equipment we explored the effects of subsidy incentives and family incomes on the purchase attitudes and intentions of individuals toward the seven categories of eere equipment we find that family income positively moderates the relationship between eere equipment purchase attitude and behavioral intention and subsidy incentives positively affect the moderating effect of family income in other words a higher family income and better familiarization with subsidy incentives can promote the transformation of green attitudes into eere equipment purchasing intention the results may indicate that the subsidized prices are still high in the view of the low income families this study contributes to the understanding of the effects of chinese subsidy incentives and of the economic concerns of people about the purchase of domestic eere equipment

subsidies in carbon finance for promoting renewable energy development abstract faced with decreasing exhaustible nonrenewable resources and climate change resulting from the use of fossil energy it is urgent to accelerate the development of renewable energy but the development of renewable energy requires abundant financial support both from banks and governments this article considers bank loans to develop renewable energy and highlights the effects of government subsidies by using a microeconomic model and taking all stakeholders including the government banks and shareholders of the firm into consideration this study finds that government subsidies raise outputs and debt levels of renewable energy firms and improve shareholder value as well more importantly financial debts stimulate firms outputs but decrease the net profit per unit of debt due to the limited liability effects finally subsidy policy plays a critical role in renewable energy development because environmental efficiencies of subsidies decrease with the subsidy degree other valuable conclusions would be achieved if principal agent problem and other corporate governance factors are employed

consumer responses towards home energy financial incentives a survey based study abstract residential energy efficient and renewable energy eere products play an important role in energy conservation and carbon emissions reduction various financial incentive programs have been developed to promote the adoption of these products however their effectiveness in attracting consumers is not very well understood in this study we investigated impacts of financial incentives on homeowner s decision making towards six eere products two forms of incentives tax credits and interest free loans were examined through a household mailing survey in florida the united states results showed that although half of the respondents were interested in eere products the high investment cost was a major concern that hindered their purchase activities homeowners were attracted to financial incentives and valued tax credits much higher than interest free loans the current federal home energy tax credit levels were found to attract only 2 12 percent of homeowners to buy eere products the willingness of participation was especially low for the costly products such as solar panels the participation rate was also very low for lower income i e annual household income below 50 000 families living in older residences this study contributes to the understanding of economic and social aspects of consumer decision making on energy efficiency and alternative energy

heuristics for pricing and positioning a product line using conjoint and cost data designing and pricing a product line is the very essence of every business in recent years quantitative methods to assist managers in this task have been gaining in popularity conjoint analysis is already widely used to measure preferences for different product profiles and build market simulation models in the last few years several papers have been published that suggest how to optimally choose a product line based on such data we formalize this problem as a mathematical program where the objective of the firm is either profit or total welfare unlike alternative published approaches we introduce fixed and variable costs for each product profile the number of products to be introduced is endogenously determined on the basis of their desirability fixed and variable costs and in the case of profits their cannibalization effect on other products while the problem is difficult np complete we show that the maximum welfare problem is equivalent to the uncapacitated plant location problem which can be solved very efficiently using the greedy interchange heuristic based on past published experience with this problem and on simulations we perform we show that optimal or near optimal solutions are obtained in seconds for large problems we develop a new greedy heuristic for the profit problem and its application to simulated problems shows that it too runs quickly and with better performance than various alternatives and previously published heuristics we also show how the methodology can be applied taking existing products of both the firm and the competition into account

subsidies for residential solar photovoltaic energy systems in western australia distributional procedural and outcome justice governments seek to increase renewable energy capacity by providing subsidies to householders opting to install residential solar energy photovoltaic systems the funds used to pay for these subsidies are sourced from tax revenue or electricity tariffs paid by all community members including those on a low income this sees a redistribution of funds from all community members to installers of residential solar energy systems this research compared community attitudes towards distributional justice or the fairness of this redistribution of funds with outcome justice associated with the environmental benefits of renewable energy a randomised survey distributed in four metropolitan and two regional communities in western australian resulted in 295 responses a response rate of 22 33 of community members prioritised distributional justice 30 prioritised outcome justice and 37 indicated that they were unsure about their preference however support for renewable energy was found with 80 of respondents supportive of renewable energy subsidies and 68 supportive of renewable energy taxation including in electricity tariffs qualitative comments indicate that in spite of the preoccupation with distributional justice in the residential solar energy literature community members are concerned with procedural justice issues in this case procedural justice can be interpreted as government commitment to existing policy the expanded scope of renewable energy policy and enhanced regulations

doing the right thing or doing the thing right allocating resources between marketing research and manufacturing matching production with sales potential is essential for survival in volatile markets manufacturing and marketing managers compete for staff space cash and other assets as they struggle both to determine what and how many products ought to be produced and to actually produce them we develop an analytical framework to answer one simple question how much marketing research should a firm do when it takes resources away from manufacturing the goods that generate revenue to understand the costs and benefits of marketing research we account for the lost opportunities to produce these goods some analytical findings are striking firms without initial knowledge of their potential customers should allocate one third of the firm s resources to marketing research the model suggests a host of issues to be more deeply studied by management scientists

average rates of return working capital and npv consistency in project appraisal a sensitivity analysis approach abstract in project appraisal under uncertainty the economic reliability of a measure of financial efficiency such as a rate of return depends on its strong npv consistency meaning that the performance metric i supplies the same recommendation in accept reject decisions as the npv ii ranks competing projects in the same way as the npv iii has the same sensitivity to perturbations in the input data as the npv in real life projects financial efficiency is greatly affected by the management of the working capital using a sensitivity analysis approach and taking into explicit account the role of working capital we show that the average return on investment roi is not strongly npv consistent in accept reject decisions if the working capital is uncertain and changes under changes in revenues and costs also it is not strongly npv consistent in project ranking we also show that the internal rate of return irr is not strongly npv consistent and economic analysis may even turn out to be impossible owing to possible nonexistence and multiplicity caused by perturbations in the input data as well as to possible shifts in the financial meaning of irr under changes in the project s value drivers we introduce the straight line rate of return slrr based on the notion of average rate of change which overcomes all the problems encountered by average roi and irr it always exists is unique strongly npv consistent for both accept reject decisions and project ranking and has an unambiguous financial nature

consumer attitudes towards domestic solar power systems the success of the uk policy to reduce carbon emissions is partly dependent on the ability to persuade householders to become more energy efficient and to encourage installation of domestic solar systems solar power is an innovation in the uk but the current policy of stimulating the market with grants is not resulting in widespread adoption this case study using householders in central england investigates householder attitudes towards characteristics of solar systems and identifies some of the barriers to adoption the study utilises diffusion of innovations theory to identify attitudes towards system attributes and isolates the characteristics that are preventing a pragmatic early majority from adopting the technology a group of early adopters and a group of assumed early majority adopters of solar power were surveyed and the results show that overall although the early majority demonstrate a positive perception of the environmental characteristics of solar power its financial economic and aesthetic characteristics are limiting adoption differences exist between the two groups showing support for the concept of a chasm between adopter categories after moore crossing the chasm marketing and selling high tech products to mainstream customers second ed harper perennial new york however if consumers cannot identify the relative advantage of solar power over their current sources of power which is supplied readily and cheaply through a mains system it is unlikely that adoption will follow recommendations concerning the marketing and development of solar products are identified

the price of reverse factoring financing rates vs payment delays reverse factoring a financial arrangement where a corporation facilitates early payment of its trade credit obligations to suppliers is increasingly popular in industry many firms use the scheme to induce their suppliers to grant them more lenient payment terms by means of a periodic review base stock model that includes alternative sources of financing we explore the following question what extensions of payment terms allow the supplier to benefit from reverse factoring we obtain solutions by means of simulation optimisation we find that an extension of payment terms induces a non linear financing cost for the supplier beyond the opportunity cost of carrying additional receivables furthermore we find that the size of the payment term extension that a supplier can accommodate depends on demand uncertainty and the cost structure of the supplier overall our results show that the financial implications of an extension of payment terms need careful assessment in stochastic settings

ordering and production decisions with supply quality and demand uncertainty in this paper we solve a production planning problem that has a direct bearing on the cost to a facility of vendor quality and reliability this solution is also an important first step in solving the multi plant coordination problem we consider a manufacturing facility with one critical raw material and one or more products whose demand needs to be met it is assumed that demand for finished goods and the arrival process for raw material are stochastic we calculate simultaneously the optimal production level and the raw material order quantity which minimize the total expected cost subject to capacity and release level constraints the results obtained by our model the integrated model show that the production level should be no larger than the production level obtained by solving the traditional nonintegrated models and that major savings are obtained by solving the integrated model we are also able to characterize and evaluate the cost of reliable supplies of raw material in addition we solve the above problem in the presence of capacity constraints a procedure which allocates capacity to different products is presented

optimal production sales policies and entry time for successive generations of new products abstract this paper explores the optimal initial inventory at launch sales plan and introduction time for a new generation of a product we propose a multi generation demand model that accounts for supply constraints a mathematical model of the supply restricted multi generation diffusion problem is then developed and the optimal sales policy is derived closed form analytical expressions as well as numerical experiments are used to investigate the effect of consumers backlogging cost of production capacity unit profit margin for the products market expansion by the new generation and cannibalization of older generations through consideration of supply restrictions and lost sales we are able to generalize previous findings on market entry policy by showing that there is a continuous range of optimal introduction times we show that the inter dependence between production capacity and initial inventory varies based on the introduction time of the new generation we also provide an application of the proposed model in the case of sony s playstation 3 game console the results suggest that the company introduced the product too late and overproduced inventory which as supported by empirical evidence had a negative impact on the product s performance limitations and considerations for the application of the model are also discussed

commentary defensive marketing strategies for every new product and service entrant there are usually many incumbents who must defend their positions in the market hence defensive strategy is as least as critical as new product strategy our 1983 article argued that defensive strategy critically depends on the distribution of buyer preferences and the position of the new entrant relative to the position of the incumbent in a multidimensional attribute space since the appearance of our 1983 article in marketing science research in defensive strategy has progressed in both prescriptive and descriptive directions subsequent research on defensive strategy has also addressed empirical methodological theoretical and substantive issues today defensive strategy is more important than ever with shorter new product life cycles persistent service innovation remarkable technological change global competition and the invention of new channels of distributions

optimal pricing and production in an inventory model abstract this paper deals with the problem of simultaneously determining the optimal price policy and production rate over a given planning horizon for nonlinear demand functions and convex inventory and shortage cost functions the optimal solution paths are derived by using optimal control theory the treatment of linear nonsmooth cost functions requires the use of a generalized maximum principle the solution method is a phase portrait analysis providing insight into the optimal pricing and production policies as well as the resulting inventory paths moreover it is shown that in the case of nonsmooth piecewise linear cost functions the equilibrium is approached within finite time although the model is nonlinear in the control variables finally it is illustrated that exogenous fluctuations in the demand rate seasonal demand pattern amount to cyclical optimal solutions

implications of the eu emissions trading system for the south east europe regional electricity market as part of its climate policy the european union eu aims to reduce greenhouse gas ghg emissions levels by 20 by the year 2020 compared to 1990 levels although the eu is projected to reach this goal its achievement of objectives under its emissions trading system ets may be delayed by carbon leakage which is defined as a situation in which the reduction in emissions in the ets region is partially offset by an increase in carbon emissions in the non ets regions we study the interaction between emissions and hydropower availability in order to estimate the magnitude of carbon leakage in the south east europe regional electricity market see rem via a bottom up partial equilibrium framework we find that 6 3 to 40 5 of the emissions reduction achieved in the ets part of see rem could be leaked to the non ets part depending on the price of allowances somewhat surprisingly greater hydropower availability may increase emissions in the ets part of see rem however carbon leakage might be limited by demand response to higher electricity prices in the non ets area of see rem such carbon leakage can affect both the competitiveness of producers in ets member countries on the periphery of the ets and the achievement of eu targets for co2 emissions reduction meanwhile higher non ets electricity prices imply that the current policy can have undesirable outcomes for consumers in non ets countries while non ets producers would experience an increase in their profits due to higher power prices as well as exports the presence of carbon leakage in see rem suggests that current eu policy might become more effective when it is expanded to cover more countries in the future

a novel bass type model for product life cycle quantification using aggregate market data abstract product life cycle plc is a widely accepted concept that has been given significant attention in operations management and marketing literature however its quantification remains a major challenge this study aims to develop a unique and original analytical model for quantifying plcs using aggregate market data the bass diffusion model is used to forecast consumers first purchases of the product next the novelty loyalty based consumer utility nlbcu theory which has a confirmed neuropsychological basis is used to model repeat or replacement purchases the unique contribution of this work is that it synthesizes the prevailing innovation diffusion theory and the nlbcu theory to provide a distinct dynamic and endogenous perspective on consumer purchasing behavior across the entire plc the model s advantages include its simple mathematical formulation its minimal use of data and its harmony with the predominating ideas of the innovation diffusion literature through simulation studies and empirical investigations the descriptive power and data fitting performance of the model are demonstrated

optimal pricing strategies for new products in dynamic oligopolies this paper deals with the determination of optimal pricing policies for firms in oligopolistic markets the problem is studied as a differential game and optimal pricing policies are established as nash open loop controls cost learning effects are assumed such that unit costs are decreasing with cumulative output discounting of future profits is also taken into consideration initially the problem is addressed in a general framework and we proceed to study some specific cases that are related to models presented in recent literature three basic classes of sales dynamics are analyzed competition with price effects only competition with price as well as adoption effects and competition with adoption effects only in some cases it turns out that results which hold for the monopoly case carry over to the multi firm case in the sense that the qualitative structure of optimal pricing strategies is the same in the monopoly and the oligopoly cases however due to competitive interdependencies differences certainly exist in the levels as well as the rates of change of optimal prices

economic order quantity under conditionally permissible delay in payments abstract within the economic order quantity eoq framework the main purpose of this paper is to investigate the retailer s optimal replenishment policy under permissible delay in payments all previously published articles dealing with optimal order quantity with permissible delay in payments assumed that the supplier only offers the retailer fully permissible delay in payments if the retailer ordered a sufficient quantity otherwise permissible delay in payments would not be permitted however in this paper we want to extend this extreme case by assuming that the supplier would offer the retailer partially permissible delay in payments when the order quantity is smaller than a predetermined quantity under this condition we model the retailer s inventory system as a cost minimization problem to determine the retailer s optimal inventory cycle time and optimal order quantity three theorems are established to describe the optimal replenishment policy for the retailer some previously published results of other researchers can be deduced as special cases finally numerical examples are given to illustrate all these theorems and to draw managerial insights

national strategic investment in european power transmission capacity abstract the transformation of the european electricity system requires substantial investment in transmission capacity to facilitate cross border trade and to efficiently integrate renewable energy sources however network planning in the eu is still mainly a national prerogative in contrast to other studies aiming to identify the pan european continental welfare optimal transmission expansion we investigate the impact of zonal planners deciding on network investment strategically with the aim of maximizing the sum of consumer surplus generator profits and congestion rents in their jurisdiction this reflects the inadequacy of current mechanisms to compensate for welfare re allocations across national boundaries arising from network upgrades we propose a three stage equilibrium model to describe the nash game between zonal planners i e national governments regulators or system operators each taking into account the impact of network expansion on the electricity spot market and the resulting welfare effects on the constituents within its jurisdiction we propose a novel way to solve the resulting gne epec type problem using a variation of a disjunctive constraints reformulation this allows to solve this problem without a priori assumptions on the relative valuation of shared constraints by each player using a four node sample network we identify several nash equilibria of the game between the zonal planners this example illustrates the failure to reach the first best welfare expansion in the absence of an effective framework for cross border cost benefit allocation

regional carbon policies in an interconnected power system how expanded coverage could exacerbate emission leakage abstract interconnected regional electricity markets are often subject to asymmetric carbon policies with partial coverage for co2 emissions while the resulting problem of carbon leakage has been well studied its mitigation has received relatively less attention we devise a proactive carbon policy via a bi level modelling approach by considering the impact of an emission cap that limits the cost of damage from a regional power market in particular a welfare maximising policymaker sets the cap when facing profit maximising producers and the damage costs from their emissions at two nodes a partial coverage policy could degrade maximised social welfare and increase total regional co2 emissions with potential for carbon leakage due to a higher nodal price difference a modified carbon policy that considers co2 emissions from both nodes tightens the cap which increases maximised social welfare and decreases total co2 emissions vis a vis the partial coverage policy albeit at the cost of greater scope for carbon leakage as it causes nodal prices to diverge as a compromise an import coverage policy implemented by california that counts only domestic and imported co2 emissions could alleviate carbon leakage at the cost of lower maximised social welfare with higher total emissions vis a vis the modified coverage policy

prescribing product upgrades prices and production levels over time in a stochastic environment abstract competitive pressures cause the price of high technology products to erode over time the purpose of this paper is to describe a decision support tool to maximize profit by prescribing three related decisions product upgrading pricing and production levels a stochastic dynamic programming dp model prescribes when to upgrade a product and what new technologies to incorporate to maintain product competitiveness and profit margins it deals with the two major sources of risk demand and the lead time required to complete an upgrade the objective of the dp model is to maximize expected profit over a given planning horizon decision variables prescribe which alternative upgrades to implement and when pricing and production levels benchmarking computational tests are described along with an example demonstrating model application managers can use this dp model to coordinate decisions related to product upgrading pricing and operations management to better meet business objectives

on the optimal frequency of multiple generation product introductions this paper considers a firm that introduces multiple generations of a product to the market at regular intervals we assume that the firm has only a single production generation in the market at any time to maximize the total profit within a given planning horizon the firm needs to decide the optimal frequency to introduce new product generations taking into account the trade off between sales revenues and product development costs we model the sales quantity of each generation as a function of the technical decay and installed base effects we analytically examine the optimal frequency for introducing new product generations as a function of these parameters c 2015 elsevier b v all rights reserved

dynamic product portfolio management with life cycle considerations we consider a portfolio of products in which each product probabilistically transitions through various life cycle stages the evolution through these life cycle stages is impacted by both marketing support and product launch decisions which are bound by a financial constraint in the form of restricted working capital in the model the joint working capital level serves to finance the portfolio expenditures and is decided a priori by the company we use an infinite horizon markov decision process mdp to find the optimal decisions to coordinate the operations and finance depending on the composition of the portfolio we find that the policy optimizing the product launch marketing support and inventory decisions under a working capital constraint is independent of the correlation between demand levels of the products in the portfolio we numerically demonstrate that the joint management of the products has a significant positive effect on the total profit reducing the amount of working capital used per product we also show that the optimal policy smooths aggregated demand levels as well as cash flows

modeling intercategory and generational dynamics for a growing information technology industry previous studies dealing with product growth have dealt only with substitution effects among successive generations of one product category and not with complementarity and competition provided by related product categories based on a broadened concept of the competitive information technology it market we develop a dynamic market growth model that is able to incorporate both interproduct category and technological substitution effects simultaneously the market potential for each category or generation is treated as a variable rather than a constant parameter which is typical of recently growing it sectors such as wireless telecommunications the model is calibrated its plausibility discussed and its face and predictive validity assessed using data on wireless telecommunications services from two asian markets results show that the market potential and sales growth of one category or generation is significantly affected by others and by the overall structure of a geographic market the model is shown to make relatively good predictions even when the data from recently introduced categories generations are limited

new product pricing in quality sensitive markets this paper considers the problem of pricing a new product in a market having competing products of different qualities and market penetration levels as measured by the cumulative number of units sold each customer type selects his optimal product based on maximizing consumer surplus pricing policies for a new product are determined for the seller based on cumulative profit maximization without discounting an example is solved in detail for two demand function forms

interrelating operational and financial performance measurements in inventory control financial supply chain management and working capital management are increasingly receiving attention as important avenues to increase profitability in supply chains by actively managing payment terms and working capital requirements managers can influence financial performance and achieve significant cost savings however measures to improve financial performance implicitly restrict and influence operational performance in our research we elaborate on the benefits of equally considering both operational and financial aspects in decision making for the physical and financial supply chain we develop a mathematical model that determines the optimal purchasing order quantity under working capital restrictions and payment delays we analyze the trade offs between the most commonly used financial and operational measurements such as service level return on investment profit margin and inventory level our results demonstrate the significance of payment delays increases decreases in the upstream downstream payment delays favor the system s operations by decreasing operational costs moreover increases in the working capital employed in the system decrease the total operational cost increase the total financial cost and lower the return on working capital investment c 2009 elsevier b v all rights reserved

a diffusion theory model of adoption and substitution for successive generations of high technology products this study deals with the dynamic sales behavior of successive generations of high technology products new technologies diffuse through a population of potential buyers over time therefore diffusion theory models are related to this demand growth furthermore successive generations of a technology compete with earlier ones and that behavior is the subject of models of technological substitution building upon the bass bass f m 1969 a new product growth model for consumer durables management sci 15january 215 227 diffusion model we develop a model which encompasses both diffusion and substitution we demonstrate the forecasting properties of the model by estimating parameters over part of the data and projecting shipments for later periods

renewable generation expansion under different support schemes a stochastic equilibrium approach abstract following the deregulation of electricity markets a current challenge of policy makers is to facilitate the transition to a sustainable power system at the highest welfare for society in this paper we investigate the efficiency of different support schemes such as a feed in tariff a feed in premium and tradable green certificates with respect to incentivizing the required investments in renewable generation we consider a number of generation expansion problems and formulate stochastic equilibrium models that account for uncertainty in demand and renewable supply the risk aversion of investors and the competitiveness of the market the problem of the policy maker is formulated as a mathematical program with equilibrium constraints mpec and as a non linear complementarity problem ncp for the feed in schemes and the certificate market respectively our models are solved for a small illustrative example and a larger case study based on the danish power system the results confirm that the main driver for the optimal choice of renewable support scheme is the aversion of power producers towards price and volume risk while the competitiveness of the market rarely affects such choice

simultaneous and dynamic price production inventory and capacity decisions abstract this paper concerns a profit maximizing firm that derives the optimal price for its output level of output level of inventory and composition of productive capacity over time first it is assumed that capacity may be acquired to either increase or replace the firm s existing productive capacity second it is assumed that the acquisition of new capacity causes a reduction in the firm s production cost lastly it is assumed that demand which is expressed as a function of time and price must be met either from current production or from inventory clearly the level of production cannot exceed the productive capacity at any time the optimal control model formulated requires the solution of a two point boundary value problem so that a discrete approximation numerical procedure is presented numerical results indicate that due to anticipated technological improvement the acquisition of new capacity is postponed and occurs in greater magnitude later in the planning horizon in addition as a result of upgrading productive capacity through the acquisition of new technology numerical results show that a firm lowers its per unit production cost and thereby reduces the optimal price charged for output which increases demand furthermore since the level of capacity is increased due to the purchase of new technology less reliance on inventory is necessary to meet peak demand lastly it is shown that a larger firm optimally acquires a greater level of new capacity over the planning horizon to reduce its operating costs and thereby further its competitive advantage

pollution content tariffs environmental rent shifting and the control of cross border pollution this paper considers the optimal unilateral policy for a country that imports a good from a neighbouring country and is harmed by pollution generated during the production of that good if the foreign country has a variable abatement technology then home has an incentive to impose a tax on the pollution content of imports a pollution content tariff foreign regulation of pollution does not eliminate home s incentives to intervene but instead may create rent shifting opportunities by making the right to pollute a scarce asset foreign pollution quotas create rents that the home government can try to extract

output based allocation of emissions permits for mitigating tax and trade interactions the allocation of tradable emissions permits has important efficiency as well as distributional effects when tax and trade distortions are taken into account we compare different rules for allocating carbon allowances within sectors lumpsum grandfathering output based allocation oba auctioning and among sectors historical emissions or value added shares the output subsidies implicit in oba mitigate tax interactions unlike grand fathering oba with sectoral distributions based on value added is similar to revenue recycling with auctioning oba based on historical emissions supports heavier polluters more effectively counter acting carbon leakage but at higher welfare costs less energy intensive sectors are also sensitive to allocation rules

new brand positioning and pricing in an oligopolistic market the positioning and pricing of a new brand requires knowledge about the relationship of both demand and cost with potential attribute locations and prices this paper addresses this problem and illustrates it in the context of the automobile market multi attribute expected utility theory which allows for consumer uncertainty about the brands is used to model individuals behavior attribute weights are estimated from market survey data on brands attributes and preferences using linmap as an estimation procedure expected utility is then updated using the multinomial logit model and choice data to account for the observation that stated preferences do not perfectly reflect the eventual choice it is hypothesized that when faced with an actual choice price may become more important to the consumer while other attributes may become more or less important than is reflected in stated preferences the resulting estimated choice probabilities are aggregated to form demand functions facing each brand which depend on all brands prices and attribute space locations assuming there is a price equilibrium in the existing market and that firms have the same variable cost function variable costs as a function of a brand s attribute levels are estimated given the demand and cost functions facing each firm including the potential new entrant the profit maximizing positioning and pricing of a new brand is analyzed using a game theoretic approach a solution is sought under the assumption that incumbents react to entry by changing their prices possible approaches to the translation of the perceptual attribute positioning of the new brand to physical and engineering attributes are reviewed improvements and future extensions of the study are discussed

inventory management with asset based financing most of the traditional models in production and inventory control ignore the financial states of an organization and can lead to infeasible practices in real systems this paper is the first attempt to incorporate asset based financing into production decisions instead of setting a known exogenously determined budgetary constraint as most existing models suggest we model the available cash in each period as a function of assets and liabilities that may be updated periodically according to the dynamics of the production activities furthermore our models allow different interest rates on cash balance and outstanding loans which is an enhancement over most traditional models in that inventory financed by a loan may be more expensive than that by out of pocket cash we demonstrate the importance of joint consideration of production and financing decisions in a start up setting in which the ability to grow the firm is mainly constrained by its limited capital and dependence on bank financing we then explain the motivation for asset based financing by examining the decision making at a bank and a set of retailers in a newsvendor setting