Mediating role of supply chain traceability and supply chain visibility on environmental performance led by sustainable supply chain collaboration

Patabandige, G.M.J.; Galahitiyawe, N.W.K.

doi:10.1504/ijmcp.2022.126685

Cited by 1 publication

(6 citation statements)

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“…The use of supply chain technologies and practices that support increased visibility within the supply chain will enhance SP in terms of increasing economic value in terms of reducing inventory costs and matching demand and supply. SCV can also enhance ENVP through greater control over material flow, which allows reducing waste and consumption (Patabandige and Galahitiyawe, 2022). SCV can also provide sufficient and reliable information to stakeholders, and increase concern for the human element, which drives social performance positively (Baah et al ., 2022; Dubey et al ., 2020).…”

Section: Empirical Results Discussionmentioning

confidence: 99%

“…Second, this paper presented new information and insights about the indirect effects of SCV on the relationship between IIoT and SP although some previous works proved the indirect relationship of SCV as a precedent for performance (Al-Khatib, 2022a) and sustainable performance (Patabandige and Galahitiyawe, 2022). However, this study is the first study to view SCV as a constructive mediator between IIoT and SP, which provides additional and new information about the mechanisms of exploiting information and real-time monitoring in improving and enhancing SP.…”

Section: Conclusion and Implicationmentioning

confidence: 95%

“…The ability of SCV to provide information and control in real time can lead to improved environmental management practices (Patabandige and Galahitiyawe, 2022). It is possible to use SCV to provide accurate information about stock levels and product availability (Dubey et al ., 2020) and thus benefit from this information in controlling production processes, which raises the efficiency of use, reduces the use of resources and controls consumption (Baah et al ., 2022).…”

Section: Theoretical Framework and Hypotheses Formulationmentioning

confidence: 99%

“…It is possible to use SCV to provide accurate information about stock levels and product availability (Dubey et al ., 2020) and thus benefit from this information in controlling production processes, which raises the efficiency of use, reduces the use of resources and controls consumption (Baah et al ., 2022). On the other hand, SCV can increase cooperation and integration between all parties of the internal and external supply chain concerning the information of environmental importance (), improving the ability of the supply chain to face potential environmental risks and rationalize consumption (Dubey et al ., 2020) and leading to improved ENVP (Patabandige and Galahitiyawe, 2022).…”

Section: Theoretical Framework and Hypotheses Formulationmentioning

confidence: 99%

“…Through a deep review of current and recent studies on the causal relationship between SCV and SP, it is clear that there is a wide recognition by researchers of the importance of SCV in raising SP in terms of ECOP, ENVP and SOP (Baah et al, 2022;Patabandige and Industrial IoT and sustainable performance Galahitiyawe, 2022;Saqib and Zhang, 2021). Sustainable management requires reliable control systems operating in real-time that provide the necessary information for decisionmaking, in particular, decisions with environmental and social dimensions (Zelbst et al, 2020).…”

Section: The Indirect Effect Of Scvmentioning

confidence: 99%

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The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

Al-Khatib

2023

BPMJ

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PurposeSustainable management has become a strategic and popular requirement for stakeholders, as the ability to create competitive advantages in the current dynamic business environment and the pressures of digital transformation need to be increased attention in achieving the highest level of sustainable performance. The main objective of this paper is to explore the direct effects of the industrial Internet of things and supply chain visibility on sustainable performance (economic performance, environmental performance and social performance), in addition to evaluating the indirect effects that supply chain visibility plays in these relationships.Design/methodology/approachTo achieve the purposes and objectives of this work, a conceptual model was developed by referring to the current works in the literature, and the theoretical model was developed, and then data were collected through the questionnaire and by the snowball sampling method, as 380 questionnaires were used. In the data analysis, the multivariate analysis technique was used via Covariance-based Structural Equation Modeling (CB-SEM), as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model.FindingsThe results reached the acceptance of all hypotheses, and this means that all hypothesized relationships were positive, as the impact of the industrial Internet of things was positive on each of the supply chain visibility and economic performance, environmental performance and social performance, and also the supply chain visibility mediated the relationship between each of the industrial Internet of things and economic performance, environmental performance and social performance.Originality/valueThe current paper reported a range of theoretical and practical contributions, as this study is the first to examine these hypothesized relationships together in this way and thus helped this study to develop new perceptions about Industry 4.0 technologies and their potential impacts on supply chain and sustainable performance. Also, this study had a variety of management recommendations that allow managers of pharmaceutical manufacturing companies operating in Jordan to develop their technological capabilities and use them to enhance sustainable performance.

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Section: Empirical Results Discussionmentioning

confidence: 99%

Section: Conclusion and Implicationmentioning

confidence: 95%