Template-Type: ReDIF-Article 1.0 Author-Name: Tejas R. Shah Author-X-Name-First: Tejas R. Author-X-Name-Last: Shah Title: Green supply chain management: learning from Indian chemical sector Abstract: The purpose of this paper is to understand current and desired status of the environmental responsiveness of supply chains in India. The objective of this study is to explore the framework for GSCM implementation in Indian context. A self-administered questionnaire was developed containing three parts, i.e., GSCM drivers, GSCM practices and GSCM performance. The total sample size was 180 consisting of MSMEs in chemical business. The dimensions for GSCM drivers, practices and performance were explored and their interrelationships were analysed. It was found that GSMC drivers create significant impact on GSCM practices, which in turn creates significant impact on GSCM performance. Most relevant studies about framework for GSCM implementation has not addressed properly in Indian context. This new framework fills the gap of the absence of strategies for GSCM implementation in India. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 1-35 Issue: 1 Volume: 11 Year: 2020 Keywords: green supply chain management; GSCM drivers; GSCM practices; GSCM performance; environmental sustainability; supply chain management; India. File-URL: http://www.inderscience.com/link.php?id=108885 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:1:p:1-35 Template-Type: ReDIF-Article 1.0 Author-Name: Siwaporn Kunnapapdeelert Author-X-Name-First: Siwaporn Author-X-Name-Last: Kunnapapdeelert Author-Name: Krittipat Pitchayadejanant Author-X-Name-First: Krittipat Author-X-Name-Last: Pitchayadejanant Title: Hybrid SEM-neural networks for predicting electronics logistics information system adoption in Thailand healthcare supply chain Abstract: The aim of this work is to examine the adoption of the electronics logistics information system in healthcare industry in Thailand by using structural equation modelling (SEM) approach. Neural network is then employed to test and confirm the research model. These approaches are applied to analyse the effect of all independent constructs and behavioural intention to adopt e-logistics information system by healthcare workers. Unified theory of acceptance and use of technology 2 (UTAUT2) was used to examine electronics logistics information system adoption in the hospitals. Confirmatory factor analysis (CFA) was applied to determine how well the measured variables represent the constructs. SEM was then introduced to analyse the relationship among the variables. Lastly, neural network was applied to predict the relative importance of each independent variable. The study from SEM revealed that seven potential variables of behavioural intention from UTAUT2 for the adoption of e-logistics can be compressed into six variables (performance expectancy, perceived value and support, price value, social influence and facilitating conditions, perceived ease of use and habit). Three significant variables for the e-logistics in hospital adoption in Thailand (performance expectancy, effort expectancy, and habit) are proven to be statistically significant. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 54-68 Issue: 1 Volume: 11 Year: 2020 Keywords: structural equation modelling; SEM; electronics logistics; e-logistics; information system; neural network; healthcare; Thailand. File-URL: http://www.inderscience.com/link.php?id=108887 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:1:p:54-68 Template-Type: ReDIF-Article 1.0 Author-Name: Arsalan Najmi Author-X-Name-First: Arsalan Author-X-Name-Last: Najmi Author-Name: Huma Maqbool Author-X-Name-First: Huma Author-X-Name-Last: Maqbool Author-Name: Waqar Ahmed Author-X-Name-First: Waqar Author-X-Name-Last: Ahmed Author-Name: Syed Aziz Ur Rehman Author-X-Name-First: Syed Aziz Ur Author-X-Name-Last: Rehman Title: The influence of greening the suppliers on environmental and economic performance Abstract: The purpose of this study is to investigate the influence of greening the supplier, green purchasing capabilities and green innovation on firm's environmental performance, competitive advantage and economic performance. Data was collected from the respondents who are engaged in procurement related activities in different manufacturing industries whereas the researchers used partial least squares-structural equation modelling (PLS-SEM) for analysing the hypothesised relationships between the variables. Results has shown that greening the suppliers has positive impact on green innovation and green purchasing capabilities whereas green innovation and green purchasing capabilities have a positive impact on environmental, competitive advantage and financial performance accordingly. Since there are limited number of studies on greening the supplier in Pakistan therefore the findings will equally be helpful for future researchers and managers. In addition of providing the valuable information to sourcing professionals regarding their directions towards green supply chain, the present study recommended manufacturers to provide complete assistance to the suppliers in their green initiatives whereas their early collaboration in product development stages is highly recommended. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 69-90 Issue: 1 Volume: 11 Year: 2020 Keywords: greening the supplier; green purchasing capabilities; environmental performance; economic performance; competitive advantage; green innovation; Pakistan. File-URL: http://www.inderscience.com/link.php?id=108888 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:1:p:69-90 Template-Type: ReDIF-Article 1.0 Author-Name: Reza Ehtesham Rasi Author-X-Name-First: Reza Ehtesham Author-X-Name-Last: Rasi Author-Name: Mahshid Jeihouni Author-X-Name-First: Mahshid Author-X-Name-Last: Jeihouni Title: Production and distribution scheduling optimisation in a three-stage integrated supply chain using genetic algorithm Abstract: This paper addresses an integrated P-D scheduling model arising in a three-stage supply chain, which involves three stages: a single vehicle after processing by different suppliers, manufacturers, distributors and consumers located in separate geographic regions. The contribution of this paper is to provide an integrated P-D scheduling under fixed departure times in supply chain with consideration of transportation fleet, integration of supplier-manufacturer. The mathematical model was proposed as a mixed integer programming and solved by CPLEX software in small-scale problems to validate the model. Given the complexity of the solution and NP-hard structure of the proposed problem, genetic algorithm was used to find quality solutions by MATLAB software. Finally, the results of research show that managers of the case study can deliver orders to customer in minimum time and cost. According to the results, the proposed algorithm (GA) has a desired level of quality in solving the P-D real problems. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 36-53 Issue: 1 Volume: 11 Year: 2020 Keywords: scheduling; supply chain; genetic algorithm; GA; optimisation; transportation. File-URL: http://www.inderscience.com/link.php?id=108889 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:1:p:36-53 Template-Type: ReDIF-Article 1.0 Author-Name: Susheel Yadav Author-X-Name-First: Susheel Author-X-Name-Last: Yadav Author-Name: Anil Kumar Agrawal Author-X-Name-First: Anil Kumar Author-X-Name-Last: Agrawal Author-Name: Manu K. Vora Author-X-Name-First: Manu K. Author-X-Name-Last: Vora Title: A single manufacturer multiple buyers integrated production-inventory model with third-party logistics Abstract: This paper analyses a single manufacturer and multiple buyers supply chain where each buyer faces a price-sensitive demand. The manufacturer produces the item at a finite rate and ships to the buyers in multiple shipments of equal sized sub-batches. These shipments are made using third-party logistics support. The transportation cost is assumed to depend upon vehicle type and on the buyer to which shipment is made. The problem of determining right inventory policies to maximise the overall supply chain profit is formulated as a mixed-integer nonlinear programming (MINLP) model and a meta-heuristic based on particle swarm optimisation (PSO) is also proposed. The sensitivity analyses carried out shows the impact of the change in vehicle capacities, setup cost, unit cost, production rate and holding rate of the manufacturer on inventory policy and its related costs. The sensitivity analysis will provide a practical guide to the managers in reacting to a certain change in some parameter values, such as in the eventuality of increase in the setup cost for taking production of a larger lot size in one setup and supply the same to the buyers in more number of sub-batches without changing the sub-batch size. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 91-127 Issue: 2 Volume: 11 Year: 2020 Keywords: single manufacturer multiple buyers; third-party logistics; integrated production-inventory; joint economic lot size; particle swarm optimisation; PSO. File-URL: http://www.inderscience.com/link.php?id=109198 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:2:p:91-127 Template-Type: ReDIF-Article 1.0 Author-Name: Margaret F. Shipley Author-X-Name-First: Margaret F. Author-X-Name-Last: Shipley Author-Name: Ray Qing Cao Author-X-Name-First: Ray Qing Author-X-Name-Last: Cao Author-Name: Rob Austin McKee Author-X-Name-First: Rob Austin Author-X-Name-Last: McKee Title: Sentiment analysis of behavioural attributes for effective supply chain relationships: a fuzzy goal-setting approach Abstract: Sentiments expressed through social media can reflect behavioural attributes of trust, commitment, collaboration, and information sharing between or among actors in supply chain management (SCM) relationships. These four attributes are generally considered to enhance SCM performance if each is at a high level. In this study, sentiment mining was undertaken using three different web crawler algorithms focusing on blog, forum, and Twitter sources. After classifying the mined sentiment data, scores were evaluated using a fuzzy model to address uncertainty and ambiguity. The least degree of fit of each attribute and combination of attributes was determined by industry for pharmaceuticals, software, retailing, and healthcare. Results indicate that the importance attributed to levels of interactions for the behavioural attributes necessitated in SCM relationships differs for the industries studied. However, overall, the most consequential attribute seems to be trust between the individuals involved. This work contributes to SCM research through the utilisation of techniques to focus on human attributes for decision making that may improve SCM performance; specifically for the industries studied. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 128-151 Issue: 2 Volume: 11 Year: 2020 Keywords: sentiment analysis; supply chain management; SCM; fuzzy logic; social capital; social media; trust; information sharing; collaboration; commitment. File-URL: http://www.inderscience.com/link.php?id=109202 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:2:p:128-151 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Javad Ershadi Author-X-Name-First: Mohammad Javad Author-X-Name-Last: Ershadi Author-Name: Elahe Atashak Maman Author-X-Name-First: Elahe Atashak Author-X-Name-Last: Maman Author-Name: Elnaz Atashak Maman Author-X-Name-First: Elnaz Atashak Author-X-Name-Last: Maman Title: A framework to enhance the procurement processes based on hybrid approach of FMEA-DEA Abstract: In the present study, the re-engineering of procurement processes, as a crucial process in any organisation, is investigated based on the FMEA-DEA hybrid approach. Using the business process reengineering (BPR) method and holding many meetings with the industry elites, the prime challenges of procurement processes are detected. FMEA method is implemented to assess these challenges and DEA method is also utilised to prioritise them. In addition, the sub-processes of procurement process with higher levels of priority are then selected and the feasibility of using information technology in these sub-processes for tackling the identified problems is investigated. Inappropriate purchase plans, fluctuation of prices for supplied materials and prolongation of the purchase procedure are the main ranked challenges based on the proposed model. Finally, providing a suitable purchase plan, implementing a cost management system, and enhancement of documentation system are the main suggested actions to be executed for improving the procurement process. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 152-175 Issue: 2 Volume: 11 Year: 2020 Keywords: business process reengineering; BPR; failure mode and effect analysis; FMEA; data envelopment analysis; DEA. File-URL: http://www.inderscience.com/link.php?id=109204 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:2:p:152-175 Template-Type: ReDIF-Article 1.0 Author-Name: Sogand Shekarian Author-X-Name-First: Sogand Author-X-Name-Last: Shekarian Author-Name: Saman Hassanzadeh Amin Author-X-Name-First: Saman Hassanzadeh Author-X-Name-Last: Amin Author-Name: Bharat Shah Author-X-Name-First: Bharat Author-X-Name-Last: Shah Author-Name: Babak Mohamadpour Tosarkani Author-X-Name-First: Babak Mohamadpour Author-X-Name-Last: Tosarkani Title: Design and optimisation of a soybean supply chain network under uncertainty Abstract: Demands of foods have been increased in recent years for human and animal nutrition. Food supply chain management has been required to administer series of products and services in efficient ways for agriculture and food production to achieve customer satisfaction at the lowest cost. Agricultural systems have been changed during recent years, and have caused improvements in consumption and production patterns. However, there is not much research on supply chains of seeds (e.g., soybean) which have been produced in Canada. In this research, we propose a new mixed-integer linear optimisation formulation for a soybean supply chain network including multiple growers, farm facilities, distributors, and customers. The profit is maximised in the objective function. The application of the proposed formulation is discussed in Ontario in Canada using Google Maps. The mathematical model is developed by a unique possibilistic approach to include uncertain parameters. It is noticeable that uncertainty has been ignored in several papers in the food supply chain literature. Then, the proposed model is extended to a bi-objective model for the purpose of considering the organic practices (e.g., organic farming). The results of this research are discussed and analysed for the soybean supply chain network. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 176-200 Issue: 2 Volume: 11 Year: 2020 Keywords: food logistics; food supply chain; soybean; uncertainty; supply chain management. File-URL: http://www.inderscience.com/link.php?id=109205 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:2:p:176-200 Template-Type: ReDIF-Article 1.0 Author-Name: Younos Vakil Alroaia Author-X-Name-First: Younos Vakil Author-X-Name-Last: Alroaia Author-Name: Mohammad Reza Sotoudeh Author-X-Name-First: Mohammad Reza Author-X-Name-Last: Sotoudeh Title: Determinants of sourcing decision of supply chain: an application in Iranian SMES Abstract: Outsourcing is one of the most popular business strategies in the globalisation era. Outsourcing can bring considerable benefits to organisations. However, if outsourcing decisions are not wisely made and the factors influencing the decision on outsourcing are not carefully considered, this could incur irreparable damage to organisation. This study seeks to identify and rank the factors affecting the outsourcing from the strategic perspective in the supply chain of small and medium manufacturing enterprises. In this study, after determining the factors influencing the strategic outsourcing decisions based on the literature, seven major factors were evaluated. In this approach, the estimation of the parameters using factor analysis was conducted to determine the most important sub-indices. Then, due to the multidimensional nature of the factors, the analytic hierarchy process technique was used for the weighting of the factors and the fuzzy additive ratio assessment technique was used for ranking the sub-criteria influencing the decisions of strategic outsourcing. The results showed that the quality is the most important factor and the management agent has the least importance. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 201-227 Issue: 3 Volume: 11 Year: 2020 Keywords: strategic outsourcing; supply chain; factor analysis; hierarchical analysis; fuzzy additive ratio assessment technique. File-URL: http://www.inderscience.com/link.php?id=110216 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:3:p:201-227 Template-Type: ReDIF-Article 1.0 Author-Name: Vijay Lahri Author-X-Name-First: Vijay Author-X-Name-Last: Lahri Title: Assessment of critical drivers towards sustainable green supply chain performance management Abstract: At present, manufacturers are highly focusing on implementing green practices across supply chains due to immense pressure from the government as well as environmental agencies. However, the effective implementation of green practices is not an easy task. Therefore, the present paper aimed to study and analyse a range of critical metrics of green supply chain practices and performance management concerning manufacturing industries in the Indian context. This study scrutinises a range of metrics and sub-elements through a brief review of peer-reviewed journals and interviews with experienced professionals of selected industrial and academic bodies. A total of eight metrics and 31 sub-elements were identified, and they compared against three industrial categories, such as private, government, and semi-government firms. Fuzzy analytical hierarchy process is used to analyse and rank the identified critical metrics. The study suggests supply chain managers that the critical drivers need to be reviewed conscientiously for achieving sustainability in green supply chain practices and performance management. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 228-251 Issue: 3 Volume: 11 Year: 2020 Keywords: green supply chain; GSC; fuzzy analytical hierarchy process; FAHP; sustainability; performance management. File-URL: http://www.inderscience.com/link.php?id=110217 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:3:p:228-251 Template-Type: ReDIF-Article 1.0 Author-Name: Haidar Abbas Author-X-Name-First: Haidar Author-X-Name-Last: Abbas Author-Name: Bilal Al Omari Author-X-Name-First: Bilal Al Author-X-Name-Last: Omari Author-Name: Khadija Al Maktoumi Author-X-Name-First: Khadija Al Author-X-Name-Last: Maktoumi Title: An interaction between supply chain practices and human resource practices, and the service supply chain performance: a case of Majan Electricity Company Abstract: This research paper studies the interaction of the standard supply chain practices and human resource practices with the overall supply chain performance. Besides, the selected performance parameters are prioritised. Taking the case of Majan Electricity Company (Oman) as a service supply chain, the primary data are gathered from its employees using a bilingual (English-Arabic) structured questionnaire. A reasonable number of hypotheses are formulated and tested using suitable statistical tests. The prioritisation of selected performance parameters is done using the analytical hierarchy process (AHP). The research paper begins by offering a description of the service supply chain concepts and mentions the recent and relevant developments in this area. The next sections deal with the research methodology, data analysis, and interpretation, conclusions, recommendations, limitations of the study and directions for future research respectively. The outcomes of this study are expected to benefit the industry as well as academia. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 252-267 Issue: 3 Volume: 11 Year: 2020 Keywords: supply chain practices; human resource practices; supply chain performance; prioritisation of service performance parameters; service supply chain; analytical hierarchy process; AHP; Majan Electricity Company. File-URL: http://www.inderscience.com/link.php?id=110218 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:3:p:252-267 Template-Type: ReDIF-Article 1.0 Author-Name: Martin Mathias Dome Author-X-Name-First: Martin Mathias Author-X-Name-Last: Dome Author-Name: Sadananda Prusty Author-X-Name-First: Sadananda Author-X-Name-Last: Prusty Title: Uncovering risks in fresh agri-food supply chains: empirical evidence from tomato supply chain in Northern Tanzania Abstract: This study meant to identify pertinent risks, sources of risks and the extent to which risks impact tomato supply chain in the Southern Highlands in Tanzania. The study found that there are 68 risks across tomato chain. Based on the content analysis, 43% of the risks are controllable while 41% and 16% are uncontrollable and semi-controllable respectively. Additionally, relational; supply-and-demand disparity-related; and competence-based were identified as sources of risks. The study concluded that the sources of the risks are biosecurity related sources (diseases and pests), competence factors, disparity of supply and demand, extreme climatic changes, financial variables, regulatory and legal risks besides relational variables. It is recommending that participating firms and government institutions should proactively cooperate in managing risks and intensify extension services. Finally, future research should focus in one or two risk-types or sources and examine the extent of the quantitative impact sustained by a firm, tier or supply chain. Journal: Int. J. of Business Performance and Supply Chain Modelling Pages: 268-290 Issue: 3 Volume: 11 Year: 2020 Keywords: tomato supply chain; risk management; supply chain risk; supply chain risk management; supply chain uncertainty; supply chain vulnerability; agri-food supply chain risk. File-URL: http://www.inderscience.com/link.php?id=110219 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbpsc:v:11:y:2020:i:3:p:268-290