International Journal of Integrated Supply Management
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International Journal of Integrated Supply Management (7 papers in press)
PRESSURES DRIVING THE ADOPTION OF GREEN PRACTICES by Denise Franco, Juliana Veiga Mendes, Luis Antonio De Santa-Eulalia, Ruy Yoshino, Gilberto Miller Devós Ganga, Lilia Rekik, Olivier Caya Abstract: The objective of this study is to capture and analyse the relationship between the pressures that influence the adoption process of GSCM practices in small and medium enterprises from the chemical sector. Data from 26 companies from four different countries were analysed through qualitative comparative analysis to examine the relationship between the pressures towards increasing the rate of adoption of GSCM practices. Empirical results have indicated pressures from regulations, or suppliers, or internal forces (interestingly, mission without market pressures) leads to the adoption of GSCM practices. Surprisingly, pressures from the community have not been identified as a relevant factor influencing the adoption process. Thus, this paper contributes to highlights the complexity of the set of relationships between the pressures driving the adoption of green practices and to the literature by providing a novel way of understanding the process of adoption of these practices by SMEs. Keywords: qualitative comparative analyses; green practices; small and medium enterprises; chemical sector; environmental management. DOI: 10.1504/IJISM.2021.10036839
Investigating Green Supply Chain Management Practices and Performance among Apparel Manufacturing Firms by Sujatha R, Karthikeyan M. S Abstract: Globally, industries are attempting to implement green practices not only in their production process; but also to reduce environmental impact in their supply chain. A developing country like India houses plenty of manufacturing firms; and among them apparel industry is a notable sector with numerous small and medium enterprises. Irrespective of size, these firms are poised to implement green supply chain management (GSCM). The present research attempts to explore GSCM practices and empirically understand the relationship between GSCM pressure, practices and performance. The study considered 198 firms and a structured questionnaire was used to collect the responses. The results indicated that GSCM pressures drive firms to implement GSCM practices which have a significant effect on environmental and positive economic performance. Hence, it is recommended that firms seeking to have access to large markets should be proactive and design a supply chain that is less harmful to the environment. Keywords: green supply chain management; GSCM practices; environmental performance; developing country; apparel manufacturing. DOI: 10.1504/IJISM.2021.10037306
Forecasting Structural Equation Modelling of Lean Manufacturing using High Order Statistical Functions by M.V. Jobin, T. Radha Ramanan, R. Sridharan Abstract: Typically, the primary goal of lean technology (LT) is to improve profits and create value by minimizing waste. The consideration of demand variability in a multi-dimensional lean manufacturing environment is an innovation in production system engineering. However, manufacturing systems that fail to recognise demand variability generate high work-in-process (WIP) and low throughput in the lean manufacturing process. Moreover, many companies have found it difficult to successfully implement and sustain lean manufacturing. It is, therefore, very important for companies to identify and understand the critical success factors for successfully implementing lean manufacturing. To overwhelm the challenges in the implementation of lean manufacturing, this paper plan to introduce an advanced model and this model is analyzed using structural equation modelling. Keywords: lean manufacturing; structural equation modelling; SEM; maximum likelihood; regression analysis; EFA; work-in-process.; WIP. DOI: 10.1504/IJISM.2021.10037920
A Multi-Attribute Value Theory to assess the benefits of Vendor Managed Inventory by Camillo Loro, Riccardo Mangiaracina Abstract: This paper aims to show the effect of the qualitative decision factors on the implementation of VMI solution in the grocery industry. The methodology used in the study is a combination of an analytical approach and empirical analysis. A multi-attribute value theory called simple multi-attribute rating theory was selected as a tool of analysis. this model was combined with the analytical hierarchical process to obtain a hybrid model to express subjective and objective decision-maker evaluations. Then, the empirical analysis was conducted to validate the research paradigm and to test the model generated. As a result, qualitative factors are considered essential elements for a supply chain collaboration projects success. For the literature, it is the first attempt to assess an analytical model combining both qualitative and quantitative factors for such a solution. For practitioners, the model may be used as a supporting tool for decision-making about VMI solution. Keywords: vendor managed inventory; VMI; supply chain collaboration; grocery supply chain; multi-objective decision models. DOI: 10.1504/IJISM.2021.10039149
Prioritizing the solutions to overcome Industry 4.0 implementation barriers in Indian manufacturing industries context by Swapnil Lahane, Abhishek Patel, Ravi Kant Abstract: At present, industrial sectors are at the verge of the fourth industrial revolution, i.e., Industry 4.0. This revolutionary era brings immense opportunities for the industry to improve its sustainability. Still, it is inevitable to have factors that hinder the implementation of Industry 4.0 in manufacturing organisations. This study aims to identify and rank the solutions of Industry 4.0 implementation to overcome its barriers. The barriers to Industry 4.0 adoption and solutions to overcome them are identified based on literature analysis and subsequent discussions with the expert decision panel. This study proposes a hybrid framework of the fuzzy analytical hierarchy process (F-AHP) and fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS). The F-AHP is used to determine the weight of the barriers, and F-TOPSIS is used to rank the solutions to mitigate the barriers of Industry 4.0. The applicability of the proposed framework is demonstrated using the Indian empirical case study example. This research provides a structured, more accurate, and systematic approach for organisations to diminish Industry 4.0 implementation barriers. Keywords: Industry 4.0; supply chain; barriers; solutions; fuzzy analytical hierarchy process; F-AHP; fuzzy TOPSIS; sustainability; India. DOI: 10.1504/IJISM.2021.10039335
Investigating the Impact of Absorptive Capacity on Operational Performance: The meditating Role of Supply Chain Resilience by Ziad Alkalha, Zubi Al-Zubi, Saad Zighan Abstract: This study examines the impact of the absorptive capacity process on operational performance through supply chain resilience. Based on analysing 800 questionnaires, the results show that all the absorptive capacity components have a substantial direct impact on operational performance, supporting the hypotheses arguing that knowledge acquisition and exploitation have a significant positive impact on operational performance. Therefore, supply chain resilience has a partial mediation impact between absorptive capacity and operational performance components. The paper highlighted the critical role of exploitation as a central process in absorptive capacity, which has the most dominant impact on supply chain resilience and operational performance. Furthermore, the study sheds light on the role of absorptive capacity in facilitating supply chain abilities to respond to disruptions and vulnerabilities and enhance organisations operational performance. The study also demonstrates evidence of the learning implication of dynamic capability theory using absorptive capacity. Keywords: absorptive capacity; supply chain; supply chain resilience; SCR; operational performance. DOI: 10.1504/IJISM.2021.10039456
Development of strategies to improve Information Communication Technology diffusion in Nigerias logistics and transport industry: Adaptation of Structure-Process -Outcome Model by Anthony Ezenwa, Anthony Whiteing, Daniel Johnson, Akunna Oledinma, Ejem Ejem Abstract: Information and communication technology (ICT) applications in logistics and supply chain management (SCM), which aim to improve competitive advantage and logistics performance are lacking in Nigerias logistics industry. In this study, factors influencing ICT uptake across four distinct industries in Nigeria were sought, using systematic multiple case studies of nine selected local third-party logistics operators, across four distinct industries in Nigeria. Using the Donabedian structure-process-outcome model as a theoretical lens, we explored/explained the business environment of the application of ICT in logistics. We found that lack of infrastructure and security concerns are the significant constraints of ICT uptake across industries, while supply chain integration and individual difference factors are the differentiating factors. With the identified generic constraints, none of the case firms was able to achieve high logistics performance. We recommend that the primary strategy should be channelled towards improving the business enabling environment in the region, while the secondary strategy should concentrate on raising awareness of the benefits and prioritisation of the application of advanced ICT resources amongst the local logistics operators. The study concludes that these can be achieved through collaborative policies and regulations in the local logistics industry. Keywords: information and communication technology; ICT diffusion; strategies; Nigerian transport and logistics industry; infrastructure; supply chain management; SCM. DOI: 10.1504/IJISM.2021.10039573