Green supply chain management practices in India: a confirmatory empirical study

References

• Baron, R. M., & 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, 1173–1182.10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Bentler, P. M., & Bonnet, D. C. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.10.1037/0033-2909.88.3.588
   Web of Science ®Google Scholar
• Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research, 21, 205–229.10.1177/0049124192021002004
   Web of Science ®Google Scholar
• Carlstein, E. (1986). The use of subseries values for estimating the variance of a general statistic from a stationary sequence. The Annals of Statistics, 14, 1171–1179.10.1214/aos/1176350057
   Web of Science ®Google Scholar
• Carter, C. R., & Easton, P. L. (2011). Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 4, 46–62.
   Google Scholar
• Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38, 360–387.
   Web of Science ®Google Scholar
• Chien, M. K., & Shih, L. H. (2007). An empirical study of the implementation of green supply chain management practices in the electrical and electronic industry and their relation to organizational performances. International Journal of Environmental Science and Technology (IJEST), 4, 383–394.
   Web of Science ®Google Scholar
• Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38, 131–156.10.1111/deci.2007.38.issue-1
   Web of Science ®Google Scholar
• de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Govindan, K., Kannan, D., Salgado, M. H., & Zanon, C. J. (2013). Factors affecting the adoption of green supply chain management practices in Brazil: Empirical evidence. International Journal of Environmental Studies, 70, 302–315.10.1080/00207233.2013.774774
   Google Scholar
• Flynn, B. (2010). Introduction to the special topic forum on global supply chain management. Journal of Supply Chain Management, 46, 3–4.10.1111/(ISSN)1745-493X
   Web of Science ®Google Scholar
• Flynn, B. B., Schroeder, R. G., & Sakakibara, S. (1994). A framework for quality management research and an associated measurement instrument. Journal of Operations Management, 11, 339–366.10.1016/S0272-6963(97)90004-8
   Google Scholar
• Foster, S. T. (2008). Towards an understanding of supply chain quality management. Journal of Operations Management, 26, 461–467.10.1016/j.jom.2007.06.003
   Web of Science ®Google Scholar
• Geary, S., Disney, S. M., & Towill, D. R. (2006). On bullwhip in supply chains – Historical review, present practice and expected future impact. International Journal of Production Economics, 101, 2–18.10.1016/j.ijpe.2005.05.009
   Web of Science ®Google Scholar
• George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston, MA: Allyn & Bacon.
   Google Scholar
• Grace, J. B., & Bollen, K. A. (2005). Interpreting the results from multiple regression and structural equation models. Bulletin of the Ecological Society of America, 86, 283–295.10.1890/0012-9623(2005)86[283:ITRFMR]2.0.CO;2
   Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. (1998). Multivariate data analysis. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (6th ed.). New Delhi: Pearson Education Inc.
   Google Scholar
• Hall, P. (1985). Resampling a coverage pattern. Stochastic Processes and their Applications, 20, 231–246.10.1016/0304-4149(85)90212-1
   Web of Science ®Google Scholar
• Handfield, R., Sroufe, R., & Walton, S. (2005). Integrating environmental management and supply chain strategies. Business Strategy and the Environment, 14(1), 1–19.10.1002/(ISSN)1099-0836
   Google Scholar
• Hatcher, L. (1994). A step-by-step approach to using the SAS(R) system for factor analysis and structural equation modelling. Cary, NC: SAS Institute.
   Google Scholar
• Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6, 53–60. Retrieved from http://www.ejbrm.com
   Web of Science ®Google Scholar
• Hoyle, R. H. (1995). Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: Sage.
   Google Scholar
• Indrayan, A., & Sarmukaddam, S. B. (2001). Medical biostatistics (p. 562). Madison Avenue, NY: Marcel Dekker.
   Google Scholar
• Jabbour, C. J. C., & Puppim-de-Oliveira, J. A. (2012). Barriers to environmental management in clusters of small businesses in Brazil and Japan: From a lack of knowledge to a decline in traditional knowledge. International Journal of Sustainable Development & World Ecology, 19, 247–257.
   Web of Science ®Google Scholar
• Johnson, S. W. (2010). Summarizing green practices in US hospitals. Hospital Topics, 88, 75–81.10.1080/00185868.2010.507121
   PubMedGoogle Scholar
• Jöreskog, K., & Long, J. S. (1993). Introduction. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294–316). Newbury Park, CA: Sage.
   Google Scholar
• Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 10, 333–351.10.1207/S15328007SEM1003_1
   Web of Science ®Google Scholar
• Kilbourne, W. E. (1998). Green marketing: A theoretical perspective. Journal of Marketing Management, 14, 641–655.10.1362/026725798784867743
   Google Scholar
• Kleindorfer, P. R., Singhal, K., & Wassenhove, L. N. (2005). Sustainable operations management. Production and Operations Management, 14, 482–492.
   Web of Science ®Google Scholar
• Kline, P. (1999). The handbook of psychological testing (2nd ed.). London: Routledge.
   Google Scholar
• Kline, R. B. (1998). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
   Google Scholar
• Laosirihongthong, T., Adebanjo, D., & Tan, K. C. (2013). Green supply chain management practices and performance. Industrial Management & Data Systems, 113, 1088–1109.
   Web of Science ®Google Scholar
• Levy, D. L. (1997). Lean production in an international supply chain. Sloan Management Review, 38, 94–102.
   Google Scholar
• Linton, J. D., Klassen, R., & Jayaraman, V. (2007). Sustainable supply chains: An introduction. Journal of Operations Management, 25, 1075–1082.10.1016/j.jom.2007.01.012
   Web of Science ®Google Scholar
• Liu, X., Wang, L., Dong, Y., Yang, J., & Bao, C. (2011). Case studies of green supply chain management in China. International Journal of Economics and Management Engineering (IJEME), 1, 22–34.
   Google Scholar
• Liu, X., Yang, J., Qu, S., Wang, L., Shishime, T., & Bao, C. (2012). Sustainable production: Practices and determinant factors of green supply chain management of Chinese companies. Business Strategy and the Environment, 21(1), 1–16.10.1002/bse.v21.1
   Web of Science ®Google Scholar
• MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99–128.10.1207/s15327906mbr3901_4
   PubMed Web of Science ®Google Scholar
• Madu, C. N., Kuei, C., & Madu, I. E. (2002). A hierarchic metric approach for integration of green issues in manufacturing: A paper recycling application. Journal of Environmental Management, 64, 261–272.10.1006/jema.2001.0498
   PubMed Web of Science ®Google Scholar
• Malhotra, N. K., & Birks, D. F. (2007). Marketing research: An applied approach (3rd ed.). Harlow: Financial Times Prentice Hall.
   Google Scholar
• Maruyama, G. M. (1998). Basics of structural equation modeling. Thousand Oaks, CA: Sage.
   Google Scholar
• Mentzer, J. T., Myers, M. B., & Stank, T. P. (2007). Handbook of global supply chain management. London: Sage.
   Google Scholar
• Mohanty, R. P., & Deshmukh, S. G. (1998). Managing green productivity: Some strategic directions. Production Planning and Control, 9, 624–633.
   Web of Science ®Google Scholar
• Mohanty, R. P., & Deshmukh, S. G. (1999). Managing green productivity: A case study. Work Study, 48, 165–169.
   Google Scholar
• Mohanty, R. P., & Deshmukh, S. G. (2013). Advanced operations management. New Delhi: Excel Books.
   Google Scholar
• Mohanty, R. P., & Prakash, A. (2013). Green supply chain management practices in India: An empirical study. Production Planning & Control: The Management of Operations. Retrieved September 24, 2013, from http://dx.doi.org/10.1080/09537287.2013.832822
   Google Scholar
• Nunnally, J. C. (1988). Psychometric theory. Englewood Cliffs, NJ: McGraw-Hill.
   Google Scholar
• Politis, D. N., Romano, J. P., & Wolf, M. (1999). Subsampling. New York, NY: Springer.10.1007/978-1-4612-1554-7
   Google Scholar
• Prakash, A., & Mohanty, R. P. (2013, November 20–22). Modelling with small sample using the bootstrap approach. Accepted for presentation at International Conference on Industrial Engineering (ICIE-2013) being organized at Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India.
   Google Scholar
• Prakash, A., Mohanty, R. P., & Kallurkar, S. P. (2011). Service quality modelling for life insurance business using neural networks. International Journal of Productivity and Quality Management, 7, 263–286.10.1504/IJPQM.2011.039348
   Google Scholar
• Prakash, A., Mohanty, R. P., Kumar, S., & Kallurkar, S. P. (2011). Validation of multiple-item scale for measuring service quality in life insurance business: Structural equation modelling approach. International Journal of Productivity and Quality Management, 8, 433–458.10.1504/IJPQM.2011.043009
   Google Scholar
• Rao, P. (2002). Greening the supply chain a new initiative in south East Asia. International Journal of Operations & Production Management, 22, 632–655.
   Web of Science ®Google Scholar
• Rao, P. (2007). Greening of the supply chain: An empirical study for SMES in the Philippine context. Journal of Asia Business Studies, 1, 55–66.10.1108/15587890780001296
   Google Scholar
• Raykov, T., & Marcoulides, G. A. (2000). A first course in structural equation modeling. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Rettie, R., Burchell, K., & Riley, D. (2012). Normalising green behaviours: A new approach to sustainability marketing. Journal of Marketing Management, 28, 420–444.10.1080/0267257X.2012.658840
   Google Scholar
• Sarkis, J. (2005). Performance measurement for green supply chain management. Benchmarking: An International Journal, 12, 330–353.
   Google Scholar
• Sarkis, J., & Tamarkin, M. (2005). Real options analysis for ‘green trading’: The case of greenhouse gases. The Engineering Economist, 50, 273–294.10.1080/00137910500227208
   Google Scholar
• Sarkis, J., Zhu, Q., & Lai, K. (2011). An organizational theoretic review of green supply chain management literature. International Journal of Production Economics, 130(1), 1–15.10.1016/j.ijpe.2010.11.010
   Web of Science ®Google Scholar
• Srivastava, S. K. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9, 53–80.10.1111/ijmr.2007.9.issue-1
   Web of Science ®Google Scholar
• Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42, 893–898.10.1016/j.paid.2006.09.017
   Web of Science ®Google Scholar
• Stock, J. R., & Lambert, D. M. (2001). Strategic logistics management (4th ed.). New York, NY: McGraw-Hill Irwin.
   Google Scholar
• Vachon, S. (2007). Green supply chain practices and the selection of environmental technologies. International Journal of Production Research, 45, 4357–4379.
   Web of Science ®Google Scholar
• Weston, R., & Gore, P. A., Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719–751.10.1177/0011000006286345
   Web of Science ®Google Scholar
• Young, A., & Kielkiewicz-Yuang, A. (2001). Sustainable supply network management. Corporate Environmental Strategy, 8, 260–268.10.1016/S1066-7938(01)00122-1
   Google Scholar
• Zhu, Q., Sarkis, J., & Geng, Y. (2005). Green supply chain management in China: Pressures, practices and performance. International Journal of Operations & Production Management, 25, 449–468.
   Web of Science ®Google Scholar
• Zhu, Q., Tian, Y., & Sarkis, J. (2012). Diffusion of selected green supply chain management practices: An assessment of Chinese enterprises. Production Planning & Control, 23, 837–850.
   Web of Science ®Google Scholar