bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rolling drops: Nilkamal Wello Water Wheel
Authors: Elembilassery Varun , Bhaskar Kalyan , Aggarwal Divya 
Published: September 2019

Learning outcomes
The case will enable students to understand and ponder on how an organization goes about identifying and launching social impact products, how social impact products should be promoted, what the opportunities and challenges in executing a social impact strategy of developing a new product line by a leading industry player are, what is the type of social investment that will generate both social and financial returns and how a sustainable social impact strategy should be aligned with the corporate strategy of the firm.

Case overview/synopsis
Listed in 1991 on the National Stock Exchange in India, Nilkamal Limited is the largest manufacturer of moulded plastic furniture in the world. In line with their tradition, Nilkamal has now introduced a new range of products, under “social impact products” category, to cater to some of the pressing needs of the society. For this purpose, they have entered into an agreement with a US-based organization, Wello, to manufacture and market their iconic product, the Water Wheel. The euphoria surrounding the new social impact product, Water Wheel, has been immense but its commercial viability is yet to materialize. The case provokes the students to analyse the decision of venturing into social impact products and the challenges associated with it. The case grapples with the issues faced by a business firm that looks to incorporate social impact products as part of regular commercial operations. The key question to be addressed is “How far can social impact products be a good strategy to bring corporate sustainability and what should be the approach in this case?”

Complexity academic level
Study level: MBA students’ applicability: corporate responsibility and corporate sustainability, social impact strategy

Supplementary materials
Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Subject code
CSS 11: Strategy
Grey relational decision making model of three-parameter interval grey number based on AHP and DEA
Authors: Li Bingjun , Zhu Xiaoxiao 
Published: September 2019

Purpose
The purpose of this paper is to put forward the grey relational decision-making model of three-parameter interval grey number based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA), based on the previous study of grey relational decision-making model, and it considers the advantages of the decision-making schemes and the subjective preferences of decision makers.

Design/methodology/approach
First of all, through AHP, the preference of each index is analyzed and the index weight is determined. Second, the DEA model is adopted to obtain the index weight from the perspective of the most beneficial to each scheme and objectively reflect the advantages of different schemes. Then, assign the comprehensive weights to each index of the grey relational decision-making model of three-parameter interval grey number, and calculate the grey relation degree of each scheme to rank the schemes.

Findings
The effectiveness of the model is proved by an example of carrier aircraft selection.

Practical implications
The applicability of this model is analyzed by taking carrier aircraft selection as an example. In fact, this model can also be widely used in agriculture, industry, economy, society and other fields.

Originality/value
In this paper, the combination of AHP and DEA is used to determine the index weight. Based on which, the grey relation degree under the three-parameter interval grey number is calculated. It intended the application space of the grey relational decision-making model.
A novel GREY‒ASMAA model for reliability growth evaluation in the large civil aircraft test flight phase
Authors: Liu Sifeng , Tang Wei , Song Dejin , Fang Zhigeng , Yuan Wenfeng 
Published: September 2019

PurposeThe purpose of this paper is to present a novel GREY‒ASMAA model for reliability growth evaluation in the large civil aircraft test flight phase.Design/methodology/approachAs limited data are collected during the large civil aircraft test flight phase, which are not enough to meet the requirements of the ASMAA model for reliability growth, four basic GM(1, 1) models, even grey model, original difference grey model, even difference grey model and discrete grey model, are presented. Then both forward and backward grey models GM(1,1) are built to forecast and obtain virtual test data on left and right sides. Then the ASMAA model for reliability growth evaluation can be built based on original and virtual test data.FindingsAiming at the background of poor information data during the large civil aircraft test flight phase, first, a novel GREY‒ASMAA model, which was combined by the grey model GM(1,1) with the ASMAA model, has been put forward in this paper.Practical implicationsThe GREY‒ASMAA model for reliability growth evaluation can be used to solve the problem of reliability growth evaluation with poor information data during the large civil aircraft test flight phase, and it has been used in reliability evaluation of C919 at the test flight stage.Originality/valueThis paper presents two new definitions of forward grey model GM(1,1) and backward grey model GM(1,1), as well as a novel GREY‒ASMAA model for reliability growth evaluation of large civil aircraft during test flight phase.
QSR customer sustainable behaviors and brand practice perceptions on willingness to pay a premium
Authors: Ottenbacher Michael C. , Kuechle Graciela , Harrington Robert James , Kim Woo-Hyuk 
Published: September 2019

Purpose
The purpose of this paper is to investigate the effect of consumer sustainability attitudes and quick service restaurants (QSRs) practices along with the willingness of consumers to pay a premium for sustainability efforts.

Design/methodology/approach
A random sample of QSR customers in Germany resulted in 428 completed surveys. First, common factor analysis was conducted to assess the summated scales related to the sustainable behavior of customers, the importance attached by them to the different dimensions of sustainability and the extent to which customers perceive that QSR implement such practices. Second, the effect of these summated scales on the willingness to pay a premium (WTPP) for sustainability practices were assessed by means of a logistic regression.

Findings
The findings indicated that WTPP for sustainability efforts is primarily driven by internal beliefs and behaviors of consumers themselves rather than actions by QSR firms. Furthermore, when comparing five major QSRs, QSR brands did not appear to create a strong point of differentiation in their sustainability practices in the minds of frequent QSR consumers in the context of this study.

Practical implications
Implications of these results suggest that a growing number of consumers place high importance on sustainability and engage in personal sustainability practices that impact behaviors such as QSR selection and a WTPP for QSR brands and products that are perceived as implementing sustainable practices.

Originality/value
This paper addresses a gap by assessing drivers of willingness of QSR customers to pay a premium for sustainable practices and if QSR brands sustainability practices differ in the minds of consumers.
Timing the market with own stock: an extensive analysis with buying and selling evidence
Authors: Santos Dinis Daniel , Gama Paulo 
Published: September 2019

PurposeAre firms able to time the market? The purpose of this paper is to focus on the study of own stock trading, emphasizing both repurchase and resell operations on the open market as well as over the counter.Design/methodology/approachThe authors use data on 37,997 own stock transactions from 2005 to 2015 of Euronext Lisbon listed firms. Following Dittmar and Field (2015), this paper uses relative transaction prices to ascertain the relative performance of own stock transactions, in the open market and over the counter.FindingsResults show that firms can time both repurchases as well as resales. Firms repurchase (resell) at lower (higher) prices than those prevailing in the market. Moreover, market-timing ability proves to be higher after the bailout period and to be influenced by the own stock trading frequency. Trading on the open market allows for increased timing ability for own stock repurchasing and reselling activity. Finally, results show seasonal effects both in repurchase and resale performance. Also, more efficient but less valuable firms are more likely to be successful in timing the market.Originality/valueThe authors study both the repurchasing and the reselling activity of the same set of firms, of already issued stock, using high-frequency (daily) data. In addition, the authors study own stock trading both in the open market and OTC, and also study the impact of a major economic shift on the firms’ ability to time the market.
Factors influencing the community behavioral intention for adoption of Islamic banking
Authors: Maryam Sayeda Zeenat , Mehmood Mian Saqib , Khaliq Chaudhry Abdul 
Published: September 2019

Purpose
Islamic banking (IB) is growing rapidly not only in Islamic countries but also in all over the world. The purpose of this paper is to stumble on the features that have an impact on Islamic banking adoption (IBA) in case of Pakistan.

Design/methodology/approach
The identification of the factors that affect IBA has made by extending the theory of reasoned action (TRA). However, the conceptual model for this study includes knowledge (K), business support (BS), government support (GS), reputation (Rep), religious obligation (RO), cost-benefit (CB) and social influence (SI) as the independent variables. To test the conceptual framework data were collected through a survey by distributing the 400 questionnaires among users- and non-users of Islamic banks. Multiple regression analysis was applied to test the hypothesis of this study.

Findings
The findings of the study suggest that Rep, CB, RO and SI has a highly significant and positive influence on IBA. On the other hand, K, GS and BS have insignificant influence on IBA. The bottom line of this study suggests that more the ROs will be adopted by Islamic banks, more will be the tendency to adopt it by a bank customer in case of Pakistan.

Research limitations/implications
The generalizability of the findings of this research is limited to IB.

Practical implications
Findings of the study present worthy insight especially for the practitioners to develop significant strategies to bridge the gap between industry and academia in case of IB.

Originality/value
This study is an extension of TRA.
An ethnographic justification for establishment of a contextual engineering discipline
Authors: Witmer Ann-Perry 
Published: September 2019

Purpose
The purpose of this paper is to provide an ethnographic analysis of the infrastructure intervention process in rural, non-industrialized countries, providing justification for a new approach to technical design. The new approach, Contextual Engineering, merges engineering with sociology to identify place-based conditions that may influence adoption of technological interventions.

Design/methodology/approach
A survey of international engineering practitioners, combined with the author's personal journals from 18 international project experiences are qualitatively analyzed using nVivo software to develop a stronger understanding of what motivates stakeholders to undertake humanitarian engineering work, how they incorporate place-based conditions and how their decision-making affects intervention outcomes.

Findings
Critical findings include the need for practitioner self-reflection to recognize motivations and beliefs; recognition that industrialized-world technology may not function effectively if it doesn’t acknowledge the client’s societal standards; identification of local context to determine practices, knowledge and beliefs that reside uniquely within the client community; resistance to application of practitioner standards that may not correspond with client conditions, understandings and needs; analysis of power dynamics within the client community, between client and neighboring communities, and among project stakeholders; and incorporation of innovative self-sufficiency in technical infrastructure design.

Originality/value
This paper follows upon previous published research by the author regarding the origin and application of her new approach to rural international infrastructure design, Contextual Engineering, and uses ethnographic qualitative analysis to identify key conditions that justify the Contextual Engineering discipline to more effectively serve rural clients from alternately developed societies.
Competition in multichannel expert services in duopoly
Authors: Xiao Hanyu 
Published: September 2019

Purpose
This study aims to describe the general picture of the competition in multichannel expert services in duopoly market and discuss how the quality difference may affects the competition between service providers with different quality levels, where both providers offer face-to-face channel and one of providers offers online channel additionally and service quality that consumers have heterogeneous preferences for is vertically differentiated. These results can be used to determine which service providers should offer online expert services and understand the competition in multichannel expert services in duopoly.

Design/methodology/approach
This paper uses the stylized vertical differentiation model to investigate the role of quality in expert services market, assuming that two services providers offer the same services with different quality levels and one of them having additional online services. Taking into account the differences of services from products and the particularity of online service, this paper extends the vertical differentiation model to expert services market.

Findings
The quality difference is the key factor in the competition of expert services. Service prices and the profits of providers, independent of the quality levels, are positively related to the quality difference, whereas the demand of online services is in the opposite direction regardless of which provider offers online channel. It demonstrates that provider with low-quality level should open online channel from the point of view of social welfare if it is closely related to the expert services, even though any provider can make more profits by opening online channel.

Research limitations/implications
This extended vertical differentiation model, taking into account the importance of vertical differentiation in expert service, ignores the horizontal differentiation. More accurate strategies for multichannel expert services providers with what level of the quality a provider should offer is needed in future work. Moreover, this paper does not consider the different waiting costs of consumers in face-to-face channel and assumes that their problem will be solved eventually.

Originality/value
To the best of the author’s knowledge, no study has focused on the quality difference in multichannel expert services market or discussed how to offer online expert services in the duopoly market. This study extends the vertical differentiation model to the multichannel expert service market. Therefore, it fills this research gap and extends research to expert services market in the new network environment, aiming to help understand the competition in multichannel expert services.
A joint replenishment supply model for multi-products grouped by several variables with random and time dependence demand
Authors: Rojas Fernando 
Published: September 2019

Purpose
This paper aims to propose a supply model of periodic review with joint replenishment for multi-products grouped by several variables with random and time dependence demand.

Design/methodology/approach
The products are grouped by multivariate cluster analysis. The stochastic inventory model describes the random demand of each product, considering the temporal dependency through a generalized autoregressive moving average model. Stochastic programming for the total cost of inventory is obtained considering the expected value of the demand per unit of time.

Findings
The total costs for the products grouped with the proposed model are 6% lower than for the individual inventory policy. The expected shortage units decrease significantly in the proposed grouped model with temporary dependence. In addition, the proposal with temporary dependency has lower costs than when the independent and identically distributed demand is considered.

Originality/value
The proposed policy is exemplified with real-world data from a Chilean hospital, where the products (drugs) are segmented by grouping variables, forming clusters of drugs with homogeneous behavior within the groups and heterogeneous behavior between groups.
Presenting sustainable supply chain fuzzy rotation matrix framework to manage business challenges in the context of sustainable supply chain management
Authors: Jalilian Negar , Mirghafoori Seyed Habibollah 
Published: September 2019

Purpose
The purpose of this paper seeks to provide a hybrid framework of sustainable supply chain fuzzy rotation matrix regarding the challenges in today’s business environment and the goals pursued by sustainable supply chain, to prioritize effective infrastructure to manage the challenges in ceramic tile industry in Yazd.

Design/methodology/approach
The research offers a hybrid framework of analytical hierarchy process (AHP) and quality function deployment (QFD) model to determine, which one of the goals of a sustainable supply chain can have a greater share in the management of business challenges.

Findings
The results indicated government regulations that encourage the implementation of sustainable supply chain and management of the consumption of non-renewable resources are among the most important infrastructures that can be effective to manage the challenges of today’s business.

Practical implications
Given the importance of managing the challenges in today’s business environment and sustainable supply chain management capabilities to enable managers to deal with these challenges, the present research makes effort to offer a hybrid framework of AHP and QFD model, to determine, which one of the goals of a sustainable supply chain can have a greater share in the management of business challenges.

Originality/value
By reviewing the existing research studies in the sustainable supply chain area, it can be found that despite of vast studies, there is no focus on establishing a comprehensive interaction between business challenges management and the fulfillment of sustainable supply chain management goals. So according to this research gap, a new framework was presented in this study to enable tile and ceramic industry managers, to focus on mentioned interaction and manage the businesses challenges in the desired way to achieve sustainable supply chain goals.
An effective teaching-learning-based optimization algorithm for the multi-skill resource-constrained project scheduling problem
Authors: Joshi Dheeraj , Mittal M.L. , Sharma Milind Kumar , Kumar Manish 
Published: September 2019

Purpose
The purpose of this paper is to consider one of the recent and practical extensions of the resource-constrained project scheduling problem (RCPSP) termed as the multi-skill resource-constrained project scheduling problem (MSRCPSP) for investigation. The objective is the minimization of the makespan or total project duration.

Design/methodology/approach
To solve this complex problem, the authors propose a teaching–learning-based optimization (TLBO) algorithm in which self-study and examination have been used as additional features to enhance its exploration and exploitation capabilities. An activity list-based encoding scheme has been modified to include the resource assignment information because of the multi-skill nature of the algorithm. In addition, a genetic algorithm (GA) is also developed in this work for the purpose of comparisons. The computational experiments are performed on 216 test instances with varying complexity and characteristics generated for the purpose.

Findings
The results obtained after computations show that the TLBO has performed significantly better than GA in terms of average percentage deviation from the critical path-based lower bound for different combinations of three parameters, namely, skill factor, network complexity and modified resource strength.

Research limitations/implications
The modified TLBO proposed in this paper can be conveniently applied to any product or service organization wherein human resources are involved in executing project activities.

Practical implications
The developed model can suitably handle resource allocation problems faced in real-life large-sized projects usually administered in software development companies, consultancy firms, R&D-based organizations, maintenance firms, big construction houses, etc. wherein human resources are involved.

Originality/value
The current work aims to propose an effective metaheuristic for a more realistic version of MSRCPSP, in which resource requirements of activities may be more than one. Moreover, to enhance the exploration and exploitation capabilities of the original TLBO, the authors use two additional concepts, namely, self-study and examination in the search process.
An integrated DEA-based approach for evaluating and sizing health care supply chains
Authors: Chorfi Zoubida , Berrado Abdelaziz , Benabbou Loubna 
Published: September 2019

PurposeEvaluating the performance of supply chains is a convoluted task because of the complexity that is inextricably linked to the structure of the aforesaid chains. Therefore, the purpose of this paper is to present an integrated approach for evaluating and sizing real-life health-care supply chains in the presence of interval data.Design/methodology/approachTo achieve the objective, this paper illustrates an approach called Latin hypercube sampling by replacement (LHSR) to identify a set of precise data from the interval data; then the standard data envelopment analysis (DEA) models can be used to assess the relative efficiencies of the supply chains under evaluation. A certain level of data aggregation is suggested to improve the discriminatory power of the DEA models and an experimental design is conducted to size the supply chains under assessment.FindingsThe newly developed integrated methodology assists the decision-makers (DMs) in comparing their real-life supply chains against peers and sizing their resources to achieve a certain level of production.Practical implicationsThe proposed integrated DEA-based approach has been successfully implemented to suggest an appropriate structure to the actual public pharmaceutical supply chain in Morocco.Originality/valueThe originality of the proposed approach comes from the development of an integrated methodology to evaluate and size real-life health-care supply chains while taking into account interval data. This developed integrated technique certainly adds value to the health-care DMs for modelling their supply chains in today's world.