Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration
Source abstract
Abstract
The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integration activities for enhanced performance. The implementation of an IoT system can reduce the consumption of organizational resources like energy, electricity, and time and can increase the operational speed to gain better logistics and, ultimately, improved supply chain performance. This study has developed and empirically tested the relationship between IoT capabilities, energy consumption behavior (ECB), supply chain integration, green training (GT), and supply chain practices. Such a multidisciplinary relationship has not previously been established in the literature. The proposed study can fulfill the literature gap and opens new horizons for interdisciplinary research. Data used in this study are collected through offline and online survey methods. A total number of 250 out of 400 respondents participated in the survey. Data has been analyzed through partial least square—structure equation modeling (PLS—SEM) technique. The results of this study empirically test the developed model. IoT has a positive effect on supplier integration (SI), and customer integration (CI). Furthermore, SI and CI have a mediating role between IoT and GSCP, and GT has a positive impact on GSCP. It is concluded that the implementation of IoT can integrate CI and SI to increase GSCP. GT and ECB can ultimately improve GSCP. Additionally, the use of technology and GT can motivate employees to save energy and protect the environment to increase GSCP.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Sustainable Supply Chain Management · Environmental Sustainability in Business · Quality and Supply Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Business Administration, Dongbei University of Finance and Economics, Dalian 116023, China
College of Information Technology, Ajman University, Ajman 346, UAE
Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
Department of Information Systems, Universiti Teknologi Malaysia, 81310 Skudai, Malaysia
Department of Psychology, University of Lahore, Sargodha Campus, Punjab 40100, Pakistan
References (100+)
Show source-provided references
1. The internet of things: A survey10.1016/j.comnet.2010.05.010 ↗
2. Edwards, C., and Hopkins, J. (2018). The Australian Supply Chain Tech Survey Results, SCLAA.
3. The Internet of Things vision: Key features, applications and open issues10.1016/j.comcom.2014.09.008 ↗
4. Mattern, F., and Floerkemeier, C. (2010). From the Internet of Computers to the Internet of Things. From Active Data Management to Event-Based Systems and More, Springer.10.1007/978-3-642-17226-7_15 ↗
5. Constantinides, E., Kahlert, M., and de Vries, S.A. (2017, January 22–23). The Relevance of Technological Autonomy in the Acceptance of IoT Services in Retail. Proceedings of the 2nd International Conference on Internet of Things, Data and Cloud Computing, (ICC) 2017, Cambridge, UK.
6. Leveraging the impact of supply chain integration through information technology10.1108/IJOPM-07-2015-0441 ↗
7. Kahlert, M., Constantinides, E., and de Vries, S. (2017, January 22–23). The relevance of technological autonomy in the customer acceptance of IoT services in retail. Proceedings of the Second International Conference on Internet of things and Cloud Computing, Cambridge, UK.10.1145/3018896.3018906 ↗
8. The impact of IT implementation on supply chain integration and performance10.1016/j.ijpe.2008.07.017 ↗
9. Supply chain information systems strategy: Impacts on supply chain performance and firm performance10.1016/j.ijpe.2012.09.018 ↗
10. Firm performance impacts of digitally enabled supply chain integration capabilities10.2307/25148729 ↗
11. The effect of “Internet of Things” on supply chain integration and performance: An organisational capability perspective
12. Firm resources and sustained competitive advantage
13. How marketing scholars might help address issues in resource-based theory10.1007/s11747-013-0351-8 ↗
14. Strategic marketing and the resource based view of the firm
15. A resource-based view of the firm10.1002/smj.4250050207 ↗
16. Resource-based theory in marketing10.1007/s11747-013-0336-7 ↗
17. Lawrence, P.R., and Lorsch, J.W. (1967). The integrator. Harv. Bus. Rev., 1–13.
18. Thompson, J. (2003). Organizations in Action: Social Science Bases of Administrative Theory, McGraw-Hill.
19. Designing work within and between organizations10.1287/orsc.1050.0130 ↗
20. Donaldson, L. (2001). The Contingency Theory of Organizations, Sage.10.4135/9781452229249 ↗
21. Differentiation and integration in complex organizations10.2307/2391211 ↗
22. Strategy and structure: Chapters in the history of the American enterprise
23. Organization design: An information processing view10.1287/inte.4.3.28 ↗
24. Alternative forms of fit in contingency theory10.2307/2392695 ↗
25. Environment-strategy coalignment: An empirical test of its performance implications10.1002/smj.4250110102 ↗
26. Complementarities and fit strategy, structure, and organizational change in manufacturing10.1016/0165-4101(94)00382-F ↗
27. Internet of Things (IoT): A literature review10.4236/jcc.2015.35021 ↗
28. Nunberg, G. (2018, July 23). Available online: http://courses.ischool.berkeley.edu/i103/s12/SLIDES/HOFIInternet1Apr12.pdf.
29. Yan, B., and Huang, G. (2009, January 8–9). Supply chain information transmission based on RFID and internet of things. Proceedings of the ISECS International Colloquium on Computing, Communication, Control, and Management, Sanya, China.10.1109/CCCM.2009.5267755 ↗
30. Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion10.1007/s10796-012-9374-9 ↗
31. An efficient CRM-data mining framework for the prediction of customer behaviour10.1016/j.procs.2015.02.136 ↗
32. Designing an energy literacy questionnaire for middle and high school youth10.1080/00958964.2012.682615 ↗
33. Demirel, Y. (2012). Energy and energy types. Energy, Springer.10.1007/978-1-4471-2372-9 ↗
34. Recent progress in renewable energy—Remedy of energy crisis in Pakistan10.1016/j.rser.2014.01.089 ↗
35. Abbas, M.N. (2015). Energy Crisis in Pakistan, Naval Postgraduate School Monterey United States.
36. Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships10.1016/j.jom.2007.04.001 ↗
37. Special research focus on supply chain linkages: Challenges for design and management in the 21st century10.1111/j.1540-5915.1998.tb01353.x ↗
38. An empirical investigation into supply chain management: A perspective on partnerships10.1108/13598549810215379 ↗
39. The rhetoric and reality of supply chain integration10.1108/09600030210436222 ↗
40. Winning the last mile of e-commerce
41. The impact of supply chain integration on performance: A contingency and configuration approach10.1016/j.jom.2009.06.001 ↗
42. The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships10.1016/j.jom.2003.02.002 ↗
43. Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain10.1016/S0925-5273(98)00223-0 ↗
44. The integration of marketing flows in channels of distribution10.1108/EUM0000000000546 ↗
45. Reengineering work: Don’t automate, obliterate
46. Integrating the supply chain
47. Benton, W. (1966). Webster’s Third New International Dictionary of the English Language, Encyclopaedia Britannica Inc.. Unabridged.
48. Bowersox, D.J., Closs, D.J., and Stank, T.P. (1999). 21st Century Logistics: Making Supply Chain Integration a Reality, Michigan State University.
49. Arcs of integration: An international study of supply chain strategies10.1016/S0272-6963(00)00055-3 ↗
50. Pattern of information technology use: The impact on buyer–suppler coordination and performance10.1016/j.jom.2007.07.003 ↗
51. The supplier selection decision in strategic partnerships
52. Alliances in industrial purchasing: The determinants of joint action in buyer-supplier relationships10.1177/002224379002700103 ↗
53. Poirier, C.C., and Reiter, S.E. (1996). Supply Chain Optimization: Building the Strongest Total Business Network, Berrett-Koehler Publishers.
54. Supply chain collaboration and logistical service performance10.1002/j.2158-1592.2001.tb00158.x ↗
55. Saberi, S., Kouhizadeh MSarkis, J., and Shen, L. (2018). Blockchain technology and its relationships to sustainable supply chain management. Int. J. Prod. Res., 1–19.
56. Ben-Daya, M., Hassini, E., and Bahroun, Z. (2017). Internet of things and supply chain management: A literature review. Int. J. Prod. Res., 1–24.
57. “Service logic”: Achieving service system integration10.1108/09564239510096885 ↗
58. Internet-of-things paradigm in food supply chains control and management10.1016/j.promfg.2017.07.192 ↗
59. Strategy and environment as determinants of performance: Evidence from the Japanese machine tool industry10.1002/smj.4250160702 ↗
60. Information processing as an integrating concept in organizational design10.2307/257550 ↗
61. Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy10.1111/j.1540-5915.2005.00067.x ↗
62. Supplier’s involvement and success of radical new product development in new ventures10.1016/j.jom.2007.06.001 ↗
63. The link between salespeople’s job satisfaction and customer satisfaction in a business-to-business context: A dyadic analysis10.1177/0092070303261415 ↗
64. Supplier integration into new product development: Coordinating product, process and supply chain design10.1016/j.jom.2004.07.009 ↗
65. “Black-box” and “gray-box” supplier integration in product development: Antecedents, consequences and the moderating role of firm size10.1016/j.jom.2006.10.009 ↗
66. Benefits associated with supplier integration into new product development under conditions of technology uncertainty10.1016/S0148-2963(00)00158-2 ↗
67. The implications of socialization and integration in supply chain management10.1016/j.jom.2005.09.001 ↗
68. Achieving sustainability through attention to human resource factors in environmental management10.1108/01443570110410892 ↗
69. Green training and green supply chain management: Evidence from Brazilian firms10.1016/j.jclepro.2015.12.061 ↗
70. The impact of human resource management on environmental performance: An employee-level study10.1007/s10551-013-1732-0 ↗
71. Barriers to green supply chain management in Indian mining industries: A graph theoretic approach10.1016/j.jclepro.2012.10.030 ↗
72. The role of training and empowerment in environmental performance: A study of the Mexican maquiladora industry10.1108/01443571211226524 ↗
73. Stakeholder pressure and the adoption of environmental practices: The mediating effect of training10.1016/j.jom.2009.10.001 ↗
74. An aspirational framework for strategic human resource management10.5465/19416520.2014.872335 ↗
75. Green human resource management: A review and research agenda10.1111/j.1468-2370.2011.00328.x ↗
76. Ringle, C.M., Wende, S., and Becker, J.-M. (2015). SmartPLS 3, SmartPLS GmbH.
77. Specifying formative constructs in information systems research10.2307/25148814 ↗
78. PLS-SEM: Indeed a silver bullet10.2753/MTP1069-6679190202 ↗
79. Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013)10.1177/1094428114526928 ↗
80. Two structural equation models: LISREL and PLS applied to consumer exit-voice theory10.1177/002224378201900406 ↗
81. A comparative study of CB-SEM and PLS-SEM for theory development in family firm research10.1016/j.jfbs.2013.12.002 ↗
82. Effect of supply chain integration on the relationship between diversification and performance: Evidence from Japanese and Korean firms10.1016/S0272-6963(02)00008-6 ↗
83. Supply chain integration: Customer value through collaborative closeness versus operational excellence10.1080/10696679.1998.11501814 ↗
84. Confirmation of a measurement model for green supply chain management practices implementation10.1016/j.ijpe.2006.11.029 ↗
85. Common method biases in behavioral research: A critical review of the literature and recommended remedies10.1037/0021-9010.88.5.879 ↗
86. Assessing construct validity in organizational research10.2307/2393203 ↗
87. The Partial Least Squares (pls) Approach to Casual Modeling: Personal Computer Adoption Ans Use as an Illustration
88. The partial least squares approach to structural equation modeling
89. Nunnally, J.C. (1994). Psychometric Theory, McGraw-Hill.
90. Henseler, J., Ringle, C.M., and Sinkovics, R.R. (2009). The use of partial least squares path modeling in international marketing. New Challenges to International Marketing, Emerald Group Publishing Limited.10.1108/S1474-7979(2009)0000020014 ↗
91. Kutner, M.H., Nachtsheim, C., Neter, J., and Li, W. (2005). Applied Linear Statistical Models, McGraw-Hill Irwin.
92. Evaluating structural equation models with unobservable variables and measurement error10.1177/002224378101800104 ↗
93. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., and Tatham, R.L. (1998). Multivariate Data Analysis, Prentice Hall.
94. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study10.1287/isre.14.2.189.16018 ↗
95. Chin, W.W. (2010). How to write up and report PLS analyses. Handbook of Partial Least Squares, Springer.10.1007/978-3-540-32827-8_29 ↗
96. Sanchez, G. (2018, April 13). Available online: https://www.gastonsanchez.com/PLS_Path_Modeling_with_R.pdf.
97. Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration10.2307/20650284 ↗
98. A hierarchical data architecture for sustainable food supply chain management and planning10.1016/j.jclepro.2018.08.275 ↗
99. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Routledge. [2nd ed.].
100. The impact of supply chain integration on company performance: An organizational capability perspective10.1108/13598541211269210 ↗