Extending green supply chain practices through automation: Multinational best practices | Intellect Skip to content
1981
Volume 21, Issue 2
  • ISSN: 1474-2748
  • E-ISSN: 2040-0551

Abstract

This study simultaneously investigates the effect ‘greening’ has on supply chains and the effect injecting automation has upon these green supply chains. This article adapts the natural resource-based view of the firm, a theoretical perspective prevalent in management literature, to develop a conceptual framework. This study surveys 292 firms from multiple countries to test both relationships. Literature has laid the initial groundwork for multinational manufacturing efficiency studies that we build and expand upon. Multiple techniques were used to mitigate common method bias, including multiple survey responses per firm sampled, confirmatory factor analysis with Chi- square and Harman’s test of common method bias. We find automation generally lends itself to improving aspects of green supply chains regardless of global location of firms. With increasing automation levels, supply chain efficiency improves, thereby improving economic performance. Once automation is employed, there’s a positive effect that cascades through the entire supply chain.

Loading

Article metrics loading...

/content/journals/10.1386/tmsd_00054_1
2022-06-01
2024-04-20
Loading full text...

Full text loading...

References

  1. Anderson, G. W., and Gerbing, D. W.. ( 1988;), ‘ Structural equation modeling in practice: A review and recommend two-step approach. ’, Psychological Bulletin, 103:3, pp. 41121, https://www.aspeninstitute.org/programs/future-of-work/automation/. Accessed 12 February 2022.
    [Google Scholar]
  2. Andrews, K.. ( 1971), The Concept of Strategy, Homewood, IL:: Irwin;.
    [Google Scholar]
  3. Baines, T.,, Brown, S.,, Benedettini, O., and Ball, P.. ( 2012;), ‘ Examining green production and its role within the competitive strategy of manufacturers. ’, Journal of Industrial Engineering and Management, 5:1, pp. 5387, https://doi.org/10.3926/jiem.405. Accessed 12 February 2022.
    [Google Scholar]
  4. Baker, P., and Halim, Z.. ( 2007;), ‘ An exploration of warehouse automation implementations: Cost, service and flexibility issues. ’, Supply Chain Management: An International Journal, 12:2, pp. 12938.
    [Google Scholar]
  5. Barney, J.. ( 1988;), ‘ Returns to bidding firms in mergers and acquisitions: Reconsidering the relatedness hypothesis. ’, Strategic Management Journal, 9:1, pp. 7178.
    [Google Scholar]
  6. Barney, J.. ( 1991;), ‘ Firm resources and sustained competitive advantage. ’, Journal of Management, 17:1, pp. 99120.
    [Google Scholar]
  7. Baron, R. M., and Kenny, D. A.. ( 1986;), ‘ The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. ’, Journal of Personality and Social Psychology, 51:6, pp. 117382.
    [Google Scholar]
  8. Benlian, A., and Hess, T.. ( 2009;), ‘ Do process standardization and automation mediate or moderate the performance effects of XML? An empirical analysis in the publishing sector. ’, in Pacific Asia Conference on Information Systems, 1–12, Hyderabad, 10–12 July, Atlanta, GA:: AISeL;.
    [Google Scholar]
  9. Boiral, O.. ( 2009;), ‘ Greening the corporation through organizational citizenship behaviors. ’, Journal of Business Ethics, 87:2, pp. 22136.
    [Google Scholar]
  10. Bollen, K. A.. ( 1989), Structural Equation with Latent Variables, New York:: Wiley;.
    [Google Scholar]
  11. Bowersox, D. J.,, Closs, D. J., and Stank, T. P.. ( 1999), 21st Century Logistics: Making Supply Chan Integration a Reality, East Lansing, MI:: Michigan State University, Council of Logistics Management;.
    [Google Scholar]
  12. Browne, M. W., and Cudeck, R.. ( 1993;), ‘ Alternative ways of assessing model fit. ’, in K. A. Bollen, and J. S. Long. (eds), Testing Structural Equation Models, Newbury Park, CA:: Sage Publications;, pp. 13662.
    [Google Scholar]
  13. Browning, T. R., and Heath, R. D.. ( 2009;), ‘ Reconceptualizing the effects of lean on production costs with evidence from the F-22 program. ’, Journal of Operations Management, 27:1, pp. 2344.
    [Google Scholar]
  14. Byrne, B. M.. ( 2001), Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Mahwah, NJ:: Lawrence Erlbaum Associates;.
    [Google Scholar]
  15. Chandler. A.. ( 1962), Strategy and Structure, Cambridge, MA:: MIT Press;.
    [Google Scholar]
  16. Chen, P.-C., and Hung, S.-W.. ( 2014;), ‘ Collaborative green innovation in emerging countries: A social capital perspective. ’, International Journal of Operations and Production Management, 34:3, p. 350.
    [Google Scholar]
  17. Chou, D. C., and Chou, A. Y.. ( 2012;), ‘ Awareness of green IT and its value model. ’, Computer Standards and Interfaces, 34:5, p. 448.
    [Google Scholar]
  18. Christmann, P.. ( 2000;), ‘ Effects of best practices of environmental management on cost advantage: The role of complementary assets. ’, Academy of Management Journal, 43:4, pp. 66380.
    [Google Scholar]
  19. Coito, T.,, Viegas, J.,, Martins, M.,, Firme, B.,, Figueiredo, J.,, Vieira, S., and Sousa, J.. ( 2021;), ‘ The impact of intelligent automation in internal supply chains. ’, Journal of Integrated Supply Management, 14:1, pp. 127.
    [Google Scholar]
  20. Cooke, J.. ( 2014;), ‘ “Green” supply chains are still too costly. ’, CSCMP’s Supply Chain Quarterly, 1:1, p. 1, www.supplychainquarterly.com/columns/20140226-green-supply-chains-are-still-too-costly/. Accessed 12 February 2022.
    [Google Scholar]
  21. Costantini, V., and Mazzanti, M.. ( 2012;), ‘ On the green and innovative side of trade competitiveness? The impact of environmental policies and innovation on EU exports. ’, Research Policy, 41:1, pp. 13253, https://doi.org/10.1016/j.respol.2011.08.004. Accessed 12 February 2022.
    [Google Scholar]
  22. Dashora, Y.,, Kumar, S.,, Tiwari, M. K., and Newman, S. T.. ( 2007;), ‘ Deadlock-free scheduling of an automated manufacturing system using an enhanced colored time resource Petri-net model-based evolutionary endosymbiotic learning automata approach. ’, International Journal of Flexible Manufacturing Systems, 19, April, pp. 486515.
    [Google Scholar]
  23. De Burgos-Jiménez, J.,, Vazquez-Brust, D.,, Plaza-Ubeda, J., and Dijkshoorn, J.. ( 2013;), ‘ Environmental protection and financial performance: An empirical analysis in Wales. ’, International Journal of Operations and Production Management, 33:8, pp. 9811018.
    [Google Scholar]
  24. Deepa, M.,, Barua, A., and Whinston, A.. ( 2010;), ‘ An empirical analysis of the impact of information capabilities design on business process outsourcing performance. ’, MIS Quarterly, 34:1 pp. 3962.
    [Google Scholar]
  25. Dehning, B.,, Richardson, V. J., and Zmud, R. W.. ( 2007;), ‘ The financial performance effects of IT-based supply chain management systems in manufacturing firms. ’, Journal of Operations Management, 25:4, p. 824.
    [Google Scholar]
  26. Devaraj, S.,, Krajewski, L., and Wei, J. C.. ( 2007;), ‘ Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain. ’, Journal of Operations Management, 25:6, pp. 1199216.
    [Google Scholar]
  27. Dima, I. C., and Grabara, J.. (eds) ( 2013;), ‘ The constructive and technological preparation of production. ’, in Industrial Production Management in Flexible Manufacturing Systems, Hershey, PA:: IGI Global;, pp. 68109.
    [Google Scholar]
  28. Distelhorst, G.,, Hainmueller, J., and Locke, R. M.. ( 2016;), ‘ Does lean improve labor standards? Management and social performance in the Nike supply chain. ’, Management Science, 16:3, pp. 70728.
    [Google Scholar]
  29. Droge, C.,, Jayaram, J., and Vickery, S. K.. ( 2004;), ‘ The effects of internal versus external integration practices on time-based performance and overall firm performance. ’, Journal of Operations Management, 22:6, pp. 55773.
    [Google Scholar]
  30. Eckstein, D.,, Goellner, M.,, Blome, C., and Henke, M.. ( 2015;), ‘ The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity. ’, International Journal of Production Research, 53:10, pp. 302846.
    [Google Scholar]
  31. Edwards, J. R., and Lambert, L. S.. ( 2007;), ‘ Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. ’, Psychological Methods, 12:1, pp. 122.
    [Google Scholar]
  32. Flynn, B.,, Hao, B., and Zhao, X.. ( 2010;), ‘ The impact of supply chain integration on performance: A contingency and configuration approach. ’, Journal of Operations Management, 28:1, pp. 5871.
    [Google Scholar]
  33. Flynn, B.,, Pagell, M., and Fugate, B.. ( 2018;), ‘ Survey research design in supply chain management: The need for evolution in our expectations. ’, Journal of Supply Chain Management, 54:1, pp. 115.
    [Google Scholar]
  34. Fornell, C., and Larcker, D. F.. ( 1981;), ‘ Evaluating structural equation models with observable variables and measurement error. ’, Journal of Marketing Research, 18:1, pp. 3950.
    [Google Scholar]
  35. Franco, D.,, Mendes, J.,, de Santa-Eulalia, L.,, Yoshino, R.,, Ganga, G., and Caya, O.. ( 2021;), ‘ Pressures driving the adoption of green practices. ’, International Journal of Integrated Supply Management, 14:3, pp. 24970.
    [Google Scholar]
  36. Fransoo, J. C.,, Günther, H. O., and Jammernegg, W.. ( 2014;), ‘ Environmental sustainability in supply chains. ’, Flexible Services and Manufacturing Journal, 26, December, pp. 14.
    [Google Scholar]
  37. Frohlich, M. T., and Westbrook, R.. ( 2001;), ‘ Arcs of integration: An international study of supply chain strategies. ’, Journal of Operations Management, 19:2, pp. 185200.
    [Google Scholar]
  38. Fuller, C. M.,, Simmering, M. J.,, Atinc, G.,, Atinc, Y., and Babin, B. J.. ( 2016;), ‘ Common methods variance detection in business research. ’, Journal of Business Research, 69:8, pp. 319298.
    [Google Scholar]
  39. Gao, Y.,, Sun, Y.,, Yuan, Y.,, Xue, X., and Sheng, F.. ( 2021;), ‘ Exploring the influence of resource management between green innovation strategy and sustainable competitive advantage: The differences between emerging and traditional industries. ’, International Journal of Technology Management, 85:2–4, pp. 10126.
    [Google Scholar]
  40. Garson, G. D.. ( 2007;), ‘ Structural equation modeling. ’, Statnotes: Topics in Multivariate Analysis, https://faculty.chass.ncsu.edu/garson/PA765/statnote.htm. Accessed 12 February 2022.
    [Google Scholar]
  41. Geng, R.,, Mansouri, A., and Aktas, E.. ( 2017;), ‘ The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies. ’, International Journal of Production Economics, 183:part A, pp. 24558.
    [Google Scholar]
  42. Gold, B.. ( 1982;), ‘ Robotics, programmable automation, and international competitiveness. ’, IEEE Transactions on Engineering Management, 29:4, pp. 13546, https://doi.org/10.1109/TEM.1982.6448549.
    [Google Scholar]
  43. Golicic, S. L., and Smith, C. D.. ( 2013;), ‘ A meta-analysis of environmentally sustainable supply chain management practices and firm performance. ’, Journal of Supply Chain Management, 49:2, pp. 7895.
    [Google Scholar]
  44. Gunasekaran, A.,, Irani, Z.,, Choy, K., and Papadopaulos, T.. ( 2015;), ‘ Performance measures and metrics in outsourcing decisions: A review for research and applications. ’, International Journal of Production Economics, 166:1, pp. 15366.
    [Google Scholar]
  45. Gunasekaran, A.,, Lai, K., and Cheng, E.. ( 2008;), ‘ Responsive supply chain: A competitive strategy in a networked economy. ’, Omega, 36:4, pp. 54964.
    [Google Scholar]
  46. Gupta, A.,, Stahl, D. O., and Whinston, A. B.. ( 1997;), ‘ A decentralized approach to estimate activity-based costs and near-optimal resource allocation in flexible manufacturing systems. ’, International Journal of Flexible Manufacturing Systems, 9:1, pp. 16793.
    [Google Scholar]
  47. Hair Jr., J. F.,, Anderson, R. E., and Tatham, R. L.. ( 1998), Multivariate Data Analysis, Upper Saddle River, NJ:: Prentice Hall;.
    [Google Scholar]
  48. Hall, S.. ( 1995;), ‘ A natural-resource-based view of the firm. ’, Academy of Management Review, 20:4, pp. 9861014.
    [Google Scholar]
  49. Hart, S. L.. ( 1995;), ‘ A natural-resource-based view of the firm. ’, Academy of Management Review, 20, pp. 9861014.
    [Google Scholar]
  50. Hart, S., and Dowell, G.. ( 2010;), ‘ A natural-resource-based view of the firm: Fifteen years after. ’, Journal of Management, 37:5, pp. 146479.
    [Google Scholar]
  51. Hendricks, K. B.,, Singhal, V. R., and Stratman, J. K.. ( 2007;), ‘ The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations. ’, Journal of Operations Management, 25:1, pp. 6582.
    [Google Scholar]
  52. Hofer, C.,, Cantor, D. E., and Dai, J.. ( 2012;), ‘ The competitive determinants of a firm’s environmental management activities: Evidence from US manufacturing industries. ’, Journal of Operations Management, 30:1&2, pp. 6984.
    [Google Scholar]
  53. Hsu, C.-C.,, Tan, K. C.,, Zailani, S. H., and Jayaraman, V.. ( 2013;), ‘ Supply chain drivers that foster the development of green initiatives in an emerging economy. ’, International Journal of Operations and Production Management, 33:6, pp. 65688.
    [Google Scholar]
  54. Hu, L., and Bentler, P.. ( 2009;), ‘ Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. ’, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, pp. 155.
    [Google Scholar]
  55. Inman, R. A.,, Sale Jr, R. S.,, Green, K., and Whitten, D.. ( 2011;), ‘ Agile manufacturing: Relation to JIT, operational performance and firm performance. ’, Journal of Operations Management, 29, May, p. 343.
    [Google Scholar]
  56. Jacobs, B. W.,, Singhal, V. R., and Subramanian, R.. ( 2010;), ‘ An empirical investigation of environmental performance and the market value of the firm. ’, Journal of Operations Management, 28:5, pp. 43031.
    [Google Scholar]
  57. Janssen, C.,, Donker, S.,, Brumby, D., and Kun, A.. ( 2019;), ‘ History and future of human-automation interaction. ’, International Journal of Human-Computer Studies, 131:1, pp. 99107.
    [Google Scholar]
  58. Johnson, F. P.,, Klassen, R. D.,, Leenders, M. R., and Away, A.. ( 2007;), ‘ Utilizing e-business technologies in supply chains: The impact of firm characteristics and teams. ’, Journal of Operations Management, 12:6, pp. 125574.
    [Google Scholar]
  59. Joreskog, K. G., and Sorbom, D.. ( 1993), LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language, Lincolnwood, IL:: Scientific Software International;.
    [Google Scholar]
  60. Jovane, F.,, Koren, Y., and Boer, C. R.. ( 2003;), ‘ Present and future of flexible automation: Towards new paradigms. ’, CIRP Annals Manufacturing Technology, 52:2, pp. 14360.
    [Google Scholar]
  61. Kang, H. W,, Kim, J., and Park, S.. ( 1998;), ‘ Integrated modeling framework for manufacturing systems: A unified representation of the physical process and information system. ’, International Journal of Flexible Manufacturing Systems, 10:1, pp. 23165.
    [Google Scholar]
  62. Kannegiesser, M.,, Günther, H. O., and Gylfason, Ó.. ( 2014;), ‘ Sustainable development of global supply chains – Part 2: Investigation of the European automotive industry. ’, Flexible Services and Manufacturing Journal, 26:1&2, pp. 4868.
    [Google Scholar]
  63. Karmarkar, U. S., and Apte, U. M.. ( 2007;), ‘ Operations management in the information economy: Information products, processes, and chains. ’, Journal of Operations Management, 25:2, pp. 43853.
    [Google Scholar]
  64. Ketokivi, M., and McIntosh, C. N.. ( 2017;), ‘ Addressing the endogeneity dilemma in operations management research: Theoretical, empirical, and pragmatic considerations. ’, Journal of Operations Management, 52:1, pp. 114.
    [Google Scholar]
  65. Klein, R.. ( 1998), The Principles and Practice of Structural Equation Modeling, New York:: Guilford Press;.
    [Google Scholar]
  66. Kline, R.. ( 2005), Principles and Practice of Structural Equation Modeling, , 2nd ed.., New York:: Guilford Press;.
    [Google Scholar]
  67. Kock, N.. ( 2015;), ‘ Common method bias in PLS-SEM: A full collinearity assessment approach. ’, International Journal of e-Collaboration, 11:4, pp. 110.
    [Google Scholar]
  68. Koh, S.,, Acquaye, G.,, Barratt, P.,, Rana, N., and Kuylenstierna, J.. ( 2012;), ‘ Decarbonising product supply chains: Design and development of an integrated evidence-based decision support system – The supply chain environmental analysis tool (SCEnAT). ’, International Journal of Production Research, 51:7, pp. 2092109.
    [Google Scholar]
  69. Koh, S.,, Morris, J.,, Ebrahimi, S., and Obayi, R.. ( 2016;), ‘ Integrated resource efficiency: Measurement and management. ’, International Journal of Operations and Production Management, 36:11, pp. 1576600.
    [Google Scholar]
  70. Koufteros, X.,, Vonderembse, M., and Jayaram, J.. ( 2005;), ‘ Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy. ’, Decision Sciences, 36:1, pp. 97133.
    [Google Scholar]
  71. Krause, D. R.,, Handfield, R. B., and Tyler, B. B.. ( 2007;), ‘ The relationships between supplier development, commitment, social capital accumulation and performance improvement. ’, Journal of Operations Management, 25:2, pp. 52845.
    [Google Scholar]
  72. Kumar, N.,, Agrahan, R., and Roy, D.. ( 2015;), ‘ Review of green supply chain processes. ’, IFAC Papers Online, 48:3, pp. 37481.
    [Google Scholar]
  73. Kumar, S.,, Teichman, S., and Timpernagel, T.. ( 2011;), ‘ A green supply chain is a requirement for profitability. ’, International Journal of Production Research, 50:5, pp. 127896.
    [Google Scholar]
  74. Lawson, B.,, Tyler, B. B., and Cousins, P. D.. ( 2008;), ‘ Antecedents and consequences of social capital on buyer performance improvement. ’, Journal of Operations Management, 26:3, pp. 44660.
    [Google Scholar]
  75. LeBreton, J. M.,, Ployhart, R. M., and Ladd, R. T.. ( 2004;), ‘ A Monte Carlo comparison of relative importance methodologies. ’, Organizational Research Methods, 7:3, pp. 25882, https://doi.org/10.1177/1094428104266017. Accessed 12 February 2022.
    [Google Scholar]
  76. Lee, S.. ( 2015;), ‘ The effects of green supply chain management on the supplier’s performance through social capital accumulation. ’, Supply Chain Management: An International Journal, 20:1, pp. 4255.
    [Google Scholar]
  77. Lee, V.-H.,, Ooi, K.-B.,, Chong, A. Y.-L., and Seow, C.. ( 2014;), ‘ Creating technological innovation via green supply chain management: An empirical analysis. ’, Expert Systems with Applications, 41:16, pp. 698394.
    [Google Scholar]
  78. Li, N.,, Chen, G.,, Goyindan, K., and Jin, Z.. ( 2018;), ‘ Disruption management for truck appointment system at a container terminal: A green initiative. ’, Transportation Research Part D: Transport and Environment, 61:b, pp. 26173.
    [Google Scholar]
  79. Liao, K., and Tu, Q.. ( 2007;), ‘ Leveraging automation and integration to improve manufacturing performance under uncertainty: An empirical study. ’, Journal of Manufacturing Technology Management, 19:1, pp. 3851.
    [Google Scholar]
  80. Liu, X.,, Yeung, A. C.,, Lo, C. K., and Cheng, T. C.. ( 2014;), ‘ The moderating effects of knowledge characteristics of firms on the financial value of innovative technology products. ’, Journal of Operations Management, 32:3, pp. 7987.
    [Google Scholar]
  81. Lo, S.. ( 2014;), ‘ Effects of supply chain position on the motivation and practices of firms going green. ’, International Journal of Operation Management, 34:1, pp. 93114.
    [Google Scholar]
  82. Lu, G.,, Ding, X. D.,, Peng, D. X., and Chuang, H. H. C.. ( 2018;), ‘ Addressing endogeneity in operations management research: Recent developments, common problems, and directions for future research. ’, Journal of Operations Management, 64:1, pp. 5364.
    [Google Scholar]
  83. Lumineau, F., and Oliveira, N.. ( 2019;), ‘ Reinvigorating the study of opportunism in supply chain management. ’, Journal of Supply Chain Management, 56:1, pp. 7387.
    [Google Scholar]
  84. Mani, M., and Pillai, R.. ( 2010;), ‘ Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations. ’, Renewable and Sustainable Energy Reviews, 14, pp. 312431.
    [Google Scholar]
  85. Marsh, H. W., and Hocevar, D.. ( 1985;), ‘ Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups. ’, Psychological Bulletin, 97:3, pp. 56282.
    [Google Scholar]
  86. McBride, S.,, Rogers, W., and Fisk, A.. ( 2014;), ‘ Understanding human management of automation errors. ’, Theoretical Issues in Ergonomics Science, 15:6, pp. 54577.
    [Google Scholar]
  87. McDougall, N.,, Wagner, B., and MacBryde, J.. ( 2016;), ‘ Exploring dynamic natural-resource-based capabilities for sustainable agri-food chains. ’, Sustainable Design and Manufacturing, 52:1, pp. 45565.
    [Google Scholar]
  88. McFarlane, D., and Sheffi, Y.. ( 2003;), ‘ The impact of automatic identification on supply chain operations. ’, International Journal of Logistics Management, 14:1, pp. 117.
    [Google Scholar]
  89. Melnyk, S. A.,, Sroufe, R. P., and Calantone, R.. ( 2003;), ‘ Assessing the impact of environmental management systems on corporate and environmental performance. ’, Journal of Operations Management, 21:3, pp. 32951.
    [Google Scholar]
  90. Mills, J.,, Platts, K., and Bourne, M.. ( 2003;), ‘ Applying resource-based theory: Methods, outcomes and utility for managers. ’, International Journal of Operations and Production Management, 23:2, pp. 14866.
    [Google Scholar]
  91. Mollenkopt, D.,, Stolze, H.,, Tate, W. L., and Ueltschy, M.. ( 2010;), ‘ Green, lean, and global supply chains. ’, International Journal of Physical Distribution and Logistics Management, 40:1&2, pp. 1441, https://doi.org/10.1108/0960003101101802. Accessed 12 February 2022.
    [Google Scholar]
  92. Montabon, F.,, Sroufe, R., and Narasimhan, R.. ( 2007;), ‘ An examination of corporate reporting, environmental management practices and firm performance. ’, Journal of Operations Management, 25:5, pp. 9981014.
    [Google Scholar]
  93. Moretti, E.,, Tappia, E.,, Mauri, M., and Melacini, M.. ( 2021;), ‘ A performance model for mobile robot-based part feeding systems to supermarkets. ’, Flexible Services and Manufacturing Journal, 1:1, pp. 134, https://doi.org/10.1007/s10696-021-09427-6. Accessed 12 February 2022.
    [Google Scholar]
  94. Narayanan, S.,, Jayaraman, V.,, Luo, Y., and Swaminathan, J.. ( 2011;), ‘ The antecedents of business process integration in business process outsourcing and its effect on firm performance. ’, Journal of Operations Management, 29:1&2, pp. 316.
    [Google Scholar]
  95. Oh, L.-B.,, Teo, H.-H., and Sambamurthy, V.. ( 2012;), ‘ The effects of retail channel integration through the use of information technologies on firm performance. ’, Journal of Operations Management, 30:5, pp. 36881.
    [Google Scholar]
  96. Ordoobadi, S. M., and Mulvaney, N. J.. ( 2001;), ‘ Development of a justification tool for advanced manufacturing technologies: system-wide benefits value analysis. ’, Journal of Engineering Technology Management, 18:2, pp. 15784.
    [Google Scholar]
  97. Pagell, M.,, Krumwiede, D., and Sheu, C.. ( 2007;), ‘ Efficacy of environmental and supplier relationship investments: Moderating effects of external environment. ’, International Journal of Production Research, 45:9, pp. 200528.
    [Google Scholar]
  98. Pagell, M., and Shevchenko, A.. ( 2014;), ‘ Why research in sustainable supply chain management should have no future. ’, Journal of Supply Chain Management, 50:1, pp. 4455.
    [Google Scholar]
  99. Penrose, E.. ( 1959), The Theory of the Growth of the Firm, New York:: Wiley;.
    [Google Scholar]
  100. Perunovic, Z.,, Mefford, R., and Christoffersen, M.. ( 2012;), ‘ Impact of information technology on vendor objectives, capabilities, and competences in contract electronic manufacturing. ’, International Journal of Production Economics, 139:1, pp. 20719.
    [Google Scholar]
  101. Peteraf, M.. ( 1993;), ‘ The cornerstones of competitive advantage: A resource-based view. ’, Strategic Management Journal, 14:3, pp. 17991.
    [Google Scholar]
  102. Podsakoff, P. M.,, MacKenzie, S. B., and Podsakoff, N. P.. ( 2012;), ‘ Sources of method bias in social science research and recommendations on how to control it. ’, Annual Review of Psychology, 63:1, pp. 53969, https://doi.org/10.1146/annurev-psych-120710-100452. Accessed 12 February 2022.
    [Google Scholar]
  103. Poulsen, R. T.,, Ponte, S., and Lister, J.. ( 2016;), ‘ Buyer-driven greening? Cargo-owners and environmental upgrading in maritime shipping. ’, Geoforum, 68:1, pp. 5768.
    [Google Scholar]
  104. Prajogo, D., and Olhager, J.. ( 2012;), ‘ Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. ’, International Journal of Production Economics, 135:1, pp. 51422.
    [Google Scholar]
  105. Pullman, M. E.,, Maloni, M. J., and Carter, C. R.. ( 2009;), ‘ Food for thought: Social versus environmental sustainability practices and performance outcomes. ’, Journal of Supply Chain Management, 45:4, pp. 3854.
    [Google Scholar]
  106. Rakov, T., and Marcoulides, G.. ( 2000), A First Course in Structural Equation Modeling, Mahwah, NJ:: Lawrence Erlbaum Associates;.
    [Google Scholar]
  107. Rao, P.. ( 2002;), ‘ Greening the supply chain: A new initiative in South-East Asia. ’, International Journal of Operations and Production Management, 22:5, pp. 63155.
    [Google Scholar]
  108. Rao, P.. ( 2004;), ‘ Greening production: A South-East Asian experience. ’, International Journal of Operations and Production Management, 24:3, pp. 289320.
    [Google Scholar]
  109. Rao, P.. ( 2005;), ‘ The greening of suppliers in the South East Asian context. ’, Journal of Cleaner Production, 13:9, pp. 93545.
    [Google Scholar]
  110. Rao, P., and Holt, D.. ( 2005;), ‘ Do green supply chains lead to competitiveness and economic performance?. ’, International Journal of Operations and Production Management, 25:9, p. 898.
    [Google Scholar]
  111. Rosenzweig, E. D.,, Roth, A. V., and Dean Jr, J. W.. ( 2003;), ‘ The influence of an integration strategy on competitive capabilities and business performance: An exploratory study of consumer products manufacturers. ’, Journal of Operations Management, 21:4, pp. 43756.
    [Google Scholar]
  112. Rossi, F.,, Arfelli, S.,, Hu, S. J.,, Maria Tolio, T. A., and Freiheit, T.. ( 2019;), ‘ A systematic methodology for the modularization of manufacturing systems during early design. ’, Flexible Services and Manufacturing Journal, 31:4, pp. 94588.
    [Google Scholar]
  113. Säfsten, K.,, Winroth, M., and Stahre, J.. ( 2007;), ‘ The content and process of automation strategies. ’, International Journal of Production Economics, 110:1&2, pp. 2538.
    [Google Scholar]
  114. Saldanha, T. J.,, Melville, N. P.,, Ramirez, R., and Richardson, V. J.. ( 2013;), ‘ Information systems for collaborating versus transacting: Impact on manufacturing plant performance in the presence of demand volatility. ’, Journal of Operations Management, 31:6, pp. 31329.
    [Google Scholar]
  115. Sanders, N. R.. ( 2008;), ‘ Pattern of information technology use: The impact on buyer–supplier coordination and performance. ’, Journal of Operations Management, 26:3, p. 352.
    [Google Scholar]
  116. Sarkis, J.,, Zhu, Q., and Lai, K.. ( 2011;), ‘ An organizational theoretic review of green supply chain management literature. ’, International Journal of Production Economics, 130:1, pp. 115.
    [Google Scholar]
  117. Schmidt, C.,, Feorstl, K., and Schaltenbrand, B.. ( 2017;), ‘ The supply chain position paradox: Green practices and firm performance. ’, Journal of Supply Chain Management, 53:1, pp. 325.
    [Google Scholar]
  118. Schöneberg, T.,, Koberstein, A., and Suhl, L.. ( 2010;), ‘ An optimization model for automated selection of economic and ecologic delivery profiles in area forwarding based inbound logistics networks. ’, Flexible Services and Manufacturing Journal, 22:1, pp. 21435.
    [Google Scholar]
  119. Sethi, A. K., and Sethi, S. P.. ( 1990;), ‘ Flexibility in manufacturing: A survey. ’, International Journal of Flexible Manufacturing Systems, 2, July, pp. 289328.
    [Google Scholar]
  120. Sharma, R.,, Yetton, P., and Crawford, J.. ( 2009;), ‘ Estimating the effect of common method variance: The method–method pair technique with an illustration from TAM research. ’, MIS Quarterly, 33:3, pp. 47390.
    [Google Scholar]
  121. Shi, V.,, Koh, L.,, Baldwin, J., and Cucchiella, F.. ( 2012;), ‘ Natural resource based green supply chain management. ’, Supply Chain Management; Bradford, 17:1, pp. 5467.
    [Google Scholar]
  122. Siemsen, E.,, Roth, A., and Oliveira, P.. ( 2010;), ‘ Common method bias in regression models with linear, quadratic, and interaction effects. ’, Organizational Research Methods, 13:3, p. 456.
    [Google Scholar]
  123. Singhal, K.,, Fine, C.,, Meredith, J., and Suri, R.. ( 1987;), ‘ Research and models for automated manufacturing. ’, Interfaces, 17:6, pp. 514.
    [Google Scholar]
  124. Sujatha, R., and Karthikeyan, M.. ( 2021;), ‘ Investigating green supply chain management practices and performance among apparel manufacturing firms. ’, International Journal of Integrated Supply Management, 14:3, pp. 27190.
    [Google Scholar]
  125. Suresh, N., and Meredith, J.. ( 1985;), ‘ Achieving factory automation through group technology principles. ’, Journal of Operations Management, 5:2, pp. 15167.
    [Google Scholar]
  126. Swafford, P. M.,, Ghosh, S., and Murthy, N.. ( 2006;), ‘ The antecedents of supply chain agility of a firm. ’, Journal of Operations Management, 24:2, pp. 17088.
    [Google Scholar]
  127. Swink, M.,, Narasimhan, R., and Wang, C.. ( 2007;), ‘ Managing beyond the factory walls: Effects of four types of strategic integration on manufacturing plant performance. ’, Journal of Operations Management, 25:1, pp. 14864.
    [Google Scholar]
  128. Tabor, K.. ( 2017;), ‘ The use of Cronbach’s alpha when developing and reporting research instruments in science education. ’, Research in Science Education, 48:6, pp. 127396.
    [Google Scholar]
  129. Tajima, M.. ( 2008;), ‘ Strategic value of RFID in supply chain management. ’, Journal of Purchasing and Supply Management, 13:4, pp. 26173.
    [Google Scholar]
  130. Tang, L.,, Jiang, X.,, Shu, C., and Wang, W.. ( 2008;), ‘ Supply chain operation and performance evaluation based on networked manufacturing. ’, in IEEE International Conference on Automation and Logistics, Qingdao, 1–3 September, New York:: IEEE;, pp. 120409.
    [Google Scholar]
  131. Thomas, D., and Gilbert, S.. ( 2014;), ‘ Costs and cost effectiveness of additive manufacturing. ’, NIST Special Publication 1176, Gaithersburg, MD:: National Institute of Standards and Technology;.
    [Google Scholar]
  132. de Treville, S.,, Bendahan, S., and Vanderhaeghe, A.. ( 2007;), ‘ Manufacturing flexibility and performance: Bridging the gap between theory and practice. ’, International Journal of Flexible Manufacturing Systems, 19:4, pp. 33457.
    [Google Scholar]
  133. Tsafnat, G.,, Glasziou, P.,, Choong, M. K.,, Dunn, A.,, Galgani, F., and Coiera, E.. ( 2014;), ‘ Systematic review automation technologies. ’, Systematic Reviews, 74:3, p. 2046, https://doi.org/10.1186/2046-4053-3-74. Accessed 11 February 2022.
    [Google Scholar]
  134. Tseng, M., and Chiu, A.. ( 2013;), ‘ Evaluating firm’s green supply chain management in linguistic preferences. ’, Journal of Cleaner Production, 40:1, pp. 2231.
    [Google Scholar]
  135. Vachon, S., and Klassen, R. D.. ( 2006;), ‘ Extending green practices across the supply chain: The impact of upstream and downstream integration. ’, International Journal of Operations and Production Management, 26:7, pp. 795821.
    [Google Scholar]
  136. Van Den Broeke, M.,, Devoldere, B.,, Creemers, S., and Boute, R.. ( 2021;), ‘ Product platform replacement: Impact of performance objectives, innovation speed, and competition. ’, International Journal of Technology Management, 85:1, pp. 2141.
    [Google Scholar]
  137. Vickery, S. K.,, Jayaram, J.,, Droge, C., and Calantone, R.. ( 2003;), ‘ The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. ’, Journal of Operations Management, 21:5, pp. 52339.
    [Google Scholar]
  138. Villena, V.,, Revilla, E., and Choi, T.. ( 2011;), ‘ The dark side of buyer–supplier relationships: A social capital perspective. ’, Journal of Operations Management, 29:6, pp. 56176.
    [Google Scholar]
  139. Wagner, S. M., and Kemmerling, R.. ( 2010;), ‘ Handling nonresponse in logistics research. ’, Journal of Business Logistics, 31:2, pp. 35781.
    [Google Scholar]
  140. Walker, H. L.,, Gough, S.,, Bakker, E. F.,, Knight, L. A., and McBain, D.. ( 2009;), ‘ Greening operations management: An online sustainable procurement course for practitioners. ’, Journal of Management Education, 33:3, pp. 34871.
    [Google Scholar]
  141. Weeks, K. O.,, Gao, H., and Alidaeec, B.. ( 2010;), ‘ An empirical study of impacts of production mix, product route efficiencies on operations performance and profitability: A reverse logistics approach. ’, International Journal of Production Research, 48:4, pp. 1087104.
    [Google Scholar]
  142. Weeks, K.,, Safa, M.,, Kenyon, G., and Levius, S.. ( 2020;), ‘ Offshore multi-purpose platform efficacy by U.S. coastal areas. ’, Renewable Energy, 152, June, pp. 145164.
    [Google Scholar]
  143. Weng, H.,, Chen, J., and Chen, P.. ( 2015;), ‘ Effects of green innovation on environmental and corporate performance: A stakeholder perspective. ’, Sustainability, 7:5, pp. 49975026.
    [Google Scholar]
  144. Wheaton, B.. ( 1987;), ‘ Assessment of fit in overidentified models with latent variables. ’, Sociological Methods and Research, 16:1, pp. 11854.
    [Google Scholar]
  145. Wu., W.,, Shi, K.,, Zhai, Y.,, Xu, G., and Jiang, X.. ( 2021;), ‘ An empirical study between OHSAS 18001 certification and innovation efficiency in green management: The moderating role of pay disparity and ownership. ’, International Journal of Technology Management, 85:2–4, pp. 14264.
    [Google Scholar]
  146. Yang, C. S.,, Lu, C. S.,, Haider, J. J., and Barnard, P.. ( 2013;), ‘ The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan. ’, Transportation Research Part E: Logistics and Transportation Review, 55:1, pp. 5573.
    [Google Scholar]
  147. Yang, M., and Wang, J.. ( 2021;), ‘ Pricing and green innovation decision of green supply chain enterprises. ’, International Journal of Technology Management, 85:2–4, pp. 12741.
    [Google Scholar]
  148. Yin, Y.,, Stecke, K. E.,, Swink, M., and Kaku, I.. ( 2017;), ‘ Lessons from seru production on manufacturing competitively in a high cost environment. ’, Journal of Operations Management, 49–51:1, pp. 6776, https://doi.org/10.1016/j.jom.2017.01.003. Accessed 12 February 2022.
    [Google Scholar]
  149. Zelbst, P. J.,, Green, K. W.,, Sower, V. E., and Reyes, P. M.. ( 2012;), ‘ Impact of RFID on manufacturing effectiveness and efficiency. ’, International Journal of Operations and Production Management, 25:6, pp. 32950.
    [Google Scholar]
  150. Zhu, Q., and Sarkis, J.. ( 2004;), ‘ Relationships between operational practices and performance among early adopters of green supply chain management. ’, International Journal of Operations Management, 22:3, pp. 26589.
    [Google Scholar]
  151. Zhu, Q., and Sarkis, J.. ( 2007;), ‘ The moderating effects of institutional pressures on emergent green supply chain practices and performance. ’, International Journal of Production Research, 45:1, pp. 433355.
    [Google Scholar]
  152. Weeks, Kelly,, Montabon, Frank, and Kenyon, George. ( 2022;), ‘ Extending green supply chain practices through automation: Multinational best practices. ’, International Journal of Technology Management & Sustainable Development, 21:2, pp. 11960, https://doi.org/10.1386/tmsd_00054_1
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1386/tmsd_00054_1
Loading
/content/journals/10.1386/tmsd_00054_1
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a success
Invalid data
An error occurred
Approval was partially successful, following selected items could not be processed due to error