bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critical factors analysis and its ranking for implementation of GSCM in Indian dairy industry
Authors: Sharma Vijay Kumar , Chandana pankaj , Bhardwaj Arvind 
Published: August 2015

Purpose
– Sustainability in food sector is the need of the hour. It has been revealed that Green supply chain management (GSCM) is an emerging new and effective approach to improve the productivity, efficiency of any enterprises and to achieve sustainability. The purpose of this paper is to rank the key performance indicators which are responsible for implementation of GSCM in Indian dairy sector. Ranking is done by giving weightage to them based on survey reports. The study includes literature review, personal interviews and surveys using the detailed questionnaire. Since food processing industry, e.g. dairy industry is the major energy user and directly affecting the health of public is being chosen for implementing GSCM practices. The approach is to form an effective framework for successful implementation of GSCM in dairy sector. Grouping of key performance indicators has been done using factor analysis and thereafter Analytic hierarchy process (AHP) method has been applied to determine the suitable framework based on relative importance of critical factors.

Design/methodology/approach
– The first step was to identify critical factors through extensive literature review, personal interviews, etc. The personal interviews has been carried out by contacting executives, managers, professionals of various dairy industries. Data has also been collected by interviewing auditors of ISO 14001 which was responsible for implementation of Environmental management system. Questionnaire used for collecting data has been formulated based on critical factors. It is also used to study minute details of the process being used in dairy industry. After collection of sufficient data SPSS is used for grouping of data through factor analysis. Thereafter AHP method has been used to identify the relative importance of these factors by ranking it which can be used by the managers in developing model/framework for implementing GSCM.

Findings
– The work aims to examine the critical factors of GSCM and its ranking so as to implement GSCM practices in dairy industry in Indian context. Detailed questionnaire based on 79 parameters has been used for survey in dairy industry in northern India. Grouping of these parameters has been done using factor analysis. The ranking of these identified critical factors has been used by using AHP which is used to see the relative importance of these eight factors. These ranked factors would be used by the managers of the dairy industry to implement GSCM. The work is limited to Indian dairy industry but it can be extended to other industry also after identification of critical factors.

Originality/value
– It is certified that this research work is original and has never been submitted or published in any journal.
Modelling and analysis of network design for a reverse supply chain
Authors: John Sajan T , Sridharan R 
Published: August 2015

Purpose
– The purpose of this paper is to develop a mathematical model for the design of a multi-stage reverse supply chain.

Design/methodology/approach
– A mixed-integer linear programming formulation is used to model the network. Different data sets are generated randomly. Lingo, an optimisation package is used to solve the model developed.

Findings
– The model is able to provide optimum solutions regarding the number and location of different facilities to be established in the network. The flow of different items through the network is also obtained. Analysis of the results shows the sensitivity of design decisions with respect to the changes in the input parameter value.

Research limitations/implications
– The authors consider only a single-product and single-period situation for this study. Further research can be done by considering a multi-product and multi-period situation. Uncertainty in data can also be included for future research.

Practical implications
– The developed model can aid the managers in taking optimum decisions regarding the network design of a reverse supply chain. The analysis of the model for the variations in the input parameter values can also help the decision makers to take better decisions in a reverse supply chain.

Originality/value
– The present research simultaneously considers two types of product return, namely, end-of-life and end-of-use product return, in a seven stage supply chain. Different recovery options such as recycling and remanufacturing are also incorporated into the model.
Modelling of critical factors for responsiveness in supply chain
Authors: Singh Rajesh Kumar 
Published: August 2015

Purpose– In globalized economy, product life cycle is reducing continuously, customers demands are changing fast, and lead time for response is decreasing. In such scenario, ability of firms to quickly respond to changes in their external environment is a primary determinant of firm’s performance. This can be only possible when whole of the supply chain (SC) is responsive. For this, firms have to manage internal operations effectively to enable SC, responsive for market requirements. The purpose of this paper is to identify different factors for responsive SC.Design/methodology/approach– Based on literature review, total 17 critical factors for the responsive SC have been identified. Some of these factors are process oriented and some are result oriented. To develop structural relationship among these factors from strategic perspective, interpretive structural modeling (ISM) approach has been applied.Findings– It is observed that top management commitment, strategy development, resource development, use of technology, risk and reward sharing are major drivers for responsive SC. By managing these enablers, organizations can also benefit in terms of inventory management, lead time reduction and agility.Research limitations/implications– ISM has got some limitations. Major limitation is that the relationships developed are subjective and there are chances of biasing. Therefore findings need to be validated with case studies and empirical findings.Practical implications– Top management should strive for effective use of resources and technology to improve SC capabilities to meet market changes.Originality/value– This study develops structural relationships between different factors and it will help organizations in taking initiatives for improving responsiveness.
Improving to Smart Organization
Authors: Khan Urfi , Haleem Abid 
Published: August 2015

Purpose
– The purpose of this paper is to focus on studying the concept of “Smart Organization” and providing a comprehensive framework for the various factors as barriers for the smart organization, identifying and classifying the key criterion of these factors based on their direct and indirect relationships.

Design/methodology/approach
– In this paper an extensive literature survey and experts’ opinion have been used to identify major barriers of smart organization. These barriers are then modeled using interpretative structural modeling (ISM) methodology. The model so developed has been further improved and an integrated model has been developed using fuzzy-MICMAC.

Findings
– Various barriers of smart organization have been identified and a structural model has been developed for barriers using the ISM methodology. The critical barriers have been found out by fuzzy-MICMAC analysis. The driver power and dependence graph has been plotted for barriers. The barriers are classified into four categories which are, autonomous, linkage, dependent and independent according to their driver power and dependence. From the ISM model and the integrated model, and from further discussions with the experts, it has been found that the barriers “(B1) organizational structure” and “(B6) Managerial actions” are the two most important barriers, every other barrier is directly or indirectly driven by these.

Research limitations/implications
– The basis of developing the ISM model, i.e, the structural self-interaction matrix is based on experts’ opinion, therefore the result may get influenced if there is any biasing in judging the barriers. The future research scope for this paper will be to test the model generated in this paper. The testing of the model can be done by applying structural equation modeling technique, it has the capability of testing the hypothetical model. Further a framework of smart organizations can be created to find out the smartness of different organizations.

Practical implications
– The paper can be used by organizations in understanding the barriers in becoming “smart” on the basis of their inter-relationships. This model can help manufacturing organization of North India in understanding the barriers which needs to be worked upon and the inter-relationship among these factors. This model-based study may be helpful in understanding and implementing the practices of smart organization by removing the possible critical barriers.

Originality/value
– This is the first study to identify the barriers of smart organizations and to develop a model of these barriers using ISM and fuzzy-MICMAC.
What drives tail risk in aggregate European equity markets?
Authors: Kinateder Harald 
Published: August 2015

Purpose
– The paper aims to analyse the drivers of changes in European equity tail risk.

Design/methodology/approach
– For this purpose, the paper uses a panel data model with fixed effects based on five explanatory variables including the VIX, the variance risk premium (VRP), the one-year lagged slope of the riskless term-structure, the default spread and market-specific illiquidity via the measure of Bao et al. (2011). The study analyses a comprehensive database of representative European equity indices from February 2003 to December 2013. The database just contains markets of euro member states to avoid biases due to different currencies. To measure equity tail risk, the ex post realized value-at-risk was used.

Findings
– There is empirical evidence that the VIX, the VRP and the default spread are key determinants of equity tail risk changes across all markets. Moreover, the results reveal that market-specific illiquidity is an important determinant in PIIGS markets and the one-year lagged term-structure slope in core markets. The analysis also documents that market-specific risk premia are a relevant determinant of equity tail risk changes. Another finding is that risk premia in PIIGS markets are basically higher as in core markets, which reflect the higher risk involved in investing in PIIGS markets.

Originality/value
– The paper offers a unique perspective on equity tail risk in aggregate equity markets and helps both investors and risk managers to get a comprehensive understanding of relevant drivers.
The dynamics of risk premium: the case of the Taiwan real estate market
Authors: Vishwakarma Vijay Kumar 
Published: August 2015

Purpose– This paper aims to examine the risk premium for investors in a changing information environment in the Taiwan, New York and London real estate markets from March 2006 to November 2014. This study attempts to quantify behavioral expectations regarding (or motivation for) investment in the Taiwanese real estate in a changing information environment.Design/methodology/approach– This paper uses the rolling generalised autoregressive conditionally heteroskedastic in mean (GARCH-M) methodology which fixes the problem of conventional GARCH-M methodology.Findings– Empirical evidence suggests that the time-varying risk premium changed for the Taiwan real estate market with a new information set. The risk premium changed from 1.305 per cent per month to −7.232 per cent per month. The study also found persistent volatility shocks from March 2006 to November 2014. No such evidence was found for the New York and London real estate markets. Overall, this study finds evidence of a time-varying risk premium, partly explainable by governmental policies and partly unexplainable.Research limitations/implications– The use of the index of Standard and Poor’s Taiwan Real Estate Investment Trusts to study the Taiwan real estate industry may have aggregation effects in result.Practical implications– The present study will provide guidance to investors as well as policymakers regarding the Taiwan real estate market.Originality/value– This study uses the rolling GARCH-M model, which is a first for the Taiwan real estate market.
Regulation of uncovered sovereign credit default swaps – evidence from the European Union
Authors: Kiesel Florian , Lücke Felix , Schiereck Dirk 
Published: August 2015

Purpose
– This study aims to analyze the impact and effectiveness of the regulation on the European sovereign Credit Default Swap (CDS) market. The European sovereign debt crisis has drawn considerable attention to the CDS market. CDS have the ability of a speculative instrument to bet against a sovereign default. Therefore, the Regulation (EU) No. 236/2012 was introduced as the worldwide first uncovered CDS regulation. It prohibits buying uncovered sovereign CDS contracts in the European Union (EU).

Design/methodology/approach
– First, this paper measures spread changes of sovereign CDS of the EU member states around regulation specific event dates to detect whether and when European sovereign CDS reacts to regulation announcements and the enforcement of regulation. Second, it compares the CDS long-term stability of the EU sample with a non-EU sample based on 44 non-EU sovereign CDS entities.

Findings
– The results indicate widening CDS spreads prior to the regulation, and stable CDS spreads following the introduction of the regulation. In particular, sovereign CDS of European crisis-hit entities are stable since the regulation was introduced.

Originality/value
– The results show that since the regulation of uncovered CDS in the EU has been enacted, the sovereign CDS market is stable and less volatile. Based on the theory about speculation on uncovered sovereign CDS by betting on the reference entity’s default, the introduction of Regulation (EU) No. 236/2012 appears to be an appropriate measure to stabilize markets and reduce speculation on sovereign defaults.
Are credit rating agency analysts valuable?
Authors: Aktug Rahmi Erdem , Nayar Nandu (Nandkumar) , Salas Jesus M 
Published: August 2015

Purpose
– This paper aims to determine the equity and debt market reactions of firms to the news of their hiring a credit rating agency (CRA) analyst. Due to recent controversies related to CRAs, the US Securities and Exchange Commission (SEC) requires disclosure of the hiring of an analyst if the analyst recently worked for a rating agency that previously provided a rating for the hiring firm. The authors use those filings to estimate the market value of a credit rating analyst to the hiring firm.

Design/methodology/approach
– This paper examines the impact of analyst transfers from rating agencies to financial firms in the USA between 2006 and 2014.

Findings
– The authors find that the hiring of such analysts suggests a value increase for the debt securities of the hiring firm but no such value phenomenon for the equity of the employer firm.

Research limitations/implications
– Thus, markets apparently perceive that credit analysts bring valuable inside knowledge about potential clients and about the credit rating formation process to their employer.

Practical implications
– This study confirms the need for additional disclosure from CRAs. This study could help the SEC as it discusses ways to require additional disclosure (those discussions are already taking place. New regulations will come out some time in the next couple of years).

Originality/value
– This study is the first to examine the impact of such transfers on the prices of marketed securities of firms hiring such analysts.
Resource-based co-innovation through platform ecosystem: experiences of mobile payment innovation in China
Authors: Zhong Junying , Nieminen Marko 
Published: August 2015

Purpose– The purpose of this paper is to introduce the RISE model on service innovation in coopetitive business environment. The case study illustrates why and how Chinese providers utilize ecosystems for innovative mobile payment service development to achieve coopetitive advantage based on firms’ superior resources.Design/methodology/approach– The companies in the case study include Alipay (third-party actor), Bestpay (mobile operator), and UnionPay (banking). Empirical data comes from semi-structured interviews complemented with observations and documents. The analysis of the data follows grounded theory guidelines: creation of a theoretical framework, data collection, and interpretation of the data using the coding strategies of open coding, axial coding, and selected coding.Findings– Inter-organizational co-innovation appears as a successful strategy for mobile payment service innovation. In addition to strategic choice on this, understanding of superior and inferior resources and capabilities influence firms’ coopetitive advantages in a coopetitive service development environment. Ecosystems are formed along with the innovating activities, and difficulties are caused by coopetition challenges. The RISE model enables the analysis and selection of strategic patterns for service innovation in a coopetitive environment.Originality/value– The paper contributes to resource-advantage theory and platform ecosystem theory. The theories are used to analyze and model the effects of strategy execution for achieving win-win relationships in inter-organizational co-innovation. This paper helps executives to match their service innovation strategies to platform ecosystem architectures, as well as to understand how resource-advantage challenges affect the execution strategy of setting up their platform ecosystems.
Wave propagation in a generalized piezothermoelastic rotating bar of circular cross section
Authors: Selvamani Rajendran , Ponnusamy Palaniyandi 
Published: August 2015

Purpose
– The purpose of this paper is to study the wave propagation in a generalized piezothermoelastic rotating bar of circular cross-section using three-dimensional linear theory of elasticity.

Design/methodology/approach
– A mathematical model is developed to study the wave propagation in a generalized piezothermelastic rotating bar of circular cross-section by using Lord-Shulman (LS) and Green-Lindsay (GL) theory of thermoelasticity. After developing the formal solution of the mathematical model consisting of partial differential equations, the frequency equations have been derived by using the thermally insulated/isothermal and electrically shorted/charge free boundary conditions prevailing at the surface of the circular cross-sectional bar. The roots of the frequency equation are obtained by using the secant method, applicable for complex roots.

Findings
– In order to include the time requirement for the acceleration of the heat flow and the coupling between the temperature and strain fields, the analytical terms have been derived for the non-classical thermo-elastic theories, LS and GL theory. The computed physical quantities such as thermo-mechanical coupling, electro-mechanical coupling, frequency shift, specific loss and frequency have been presented in the form of dispersion curves. From the graphical patterns of the structure, the effect of thermal relaxation times and the rotational speed as well as the anisotropy of the of the material on the various considered wave characteristics is more significant and dominant in the flexural modes of vibration. The effect of such physical quantities provides the foundation for the construction of temperature sensors, acoustic sensor and rotating gyroscope.

Originality/value
– In this paper, the influence of thermal relaxation times and rotational speed on the wave number with thermo-mechanical coupling, electro-mechanical coupling, frequency shift, specific loss and frequency has been observed and are presented as dispersion curves. The effect of thermal relaxation time and rotational speed on wave number for the case of generalized piezothermoelastic material of circular cross-section was never reported in the literature. These results are new and original.
Computational investigation of foreign object damage sustained by environmental barrier coatings (EBCs) and SiC/SiC ceramic-matrix composites (CMCs)
Authors: Grujicic Mica , Snipes Jennifer , Yavari Ramin , Ramaswami S. , Galgalikar Rohan 
Published: August 2015

Purpose
– The purpose of this paper is to prevent their recession caused through chemical reaction with high-temperature water vapor, SiC-fiber/SiC-matrix ceramic-matrix composite (CMC) components used in gas-turbine engines are commonly protected with so-called environmental barrier coatings (EBCs). EBCs typically consist of three layers: a top thermal and mechanical protection coat; an intermediate layer which provides environmental protection; and a bond coat which assures good EBC/CMC adhesion. The materials used in different layers and their thicknesses are selected in such a way that the coating performance is optimized for the gas-turbine component in question.

Design/methodology/approach
– Gas-turbine engines, while in service, often tend to ingest various foreign objects of different sizes. Such objects, entrained within the gas flow, can be accelerated to velocities as high as 600 m/s and, on impact, cause substantial damage to the EBC and SiC/SiC CMC substrate, compromising the component integrity and service life. The problem of foreign object damage (FOD) is addressed in the present work computationally using a series of transient non-linear dynamics finite-element analyses. Before such analyses could be conducted, a major effort had to be invested toward developing, parameterizing and validating the constitutive models for all attendant materials.

Findings
– The computed FOD results are compared with their experimental counterparts in order to validate the numerical methodology employed.

Originality/value
– To the authors’ knowledge, the present work is the first reported study dealing with the computational analysis of the FOD sustained by CMCs protected with EBCs.