Browse > Article
http://dx.doi.org/10.7232/iems.2014.13.1.015

Implementation and Performance Evaluation of a Firm's Green Supply Chain Management under Uncertainty  

Lin, Yuanhsu (Department of Finance, MingDo University)
Tseng, Ming-Lang (Department of Business Administration, Lunghwa University of Science & Technology)
Chiu, Anthony S.F. (Department of Industrial Engineering, De La Salle University)
Wang, Ray (Department of Hospitality Management, HungKuang University)
Publication Information
Industrial Engineering and Management Systems / v.13, no.1, 2014 , pp. 15-28 More about this Journal
Abstract
Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.
Keywords
Green Supply Chain Management; Fuzzy Set Theory; Balanced Scorecard; Analytic Network Process; Interpretive Structural Modeling;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cebeci, U. (2009), Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard, Expert Systems with Applications, 36(5), 8900-8909.   DOI
2 Chen, F. H., Hsu, T. S., and Tzeng, G. H. (2011), A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP, International Journal of Hospitality Management, 30(4), 908-932.   DOI
3 Diabata, A. and Govindan, K. (2011), An analysis of the drivers affecting the implementation of green supply chain management, Resources, Conservation and Recycling, 55(6), 659-667.   DOI
4 Dreyer, B. and Gronhaug, K. (2004), Uncertainty, flexibility, and sustained competitive advantage, Journal of Business Research, 57(5), 484-494.   DOI
5 Dyson, R. G. (2000), Strategy, performance and operational research, Journal of the Operational Research Society, 51(1), 5-11.   DOI   ScienceOn
6 Fu, C. and Yang, S. (2012), The combination of dependence- based interval-valued evidential reasoning approach with balanced scorecard for performance assessment, Expert Systems with Applications, 39 (3), 3717-3730.   DOI
7 Green, K., Morton, B., and New, S. (1996), Purchasing and environmental management: interaction, policies and opportunities, Business Strategy and the Environment, 5(1), 188-197.   DOI
8 Harland, C. M., Lamming, R. C., and Cousins, P. D. (1999), Developing the concept of supply strategy, International Journal of Operations and Production Management, 19(7), 650-674.   DOI   ScienceOn
9 Bremser, W. G. and Barsky, N. P. (2004), Utilizing the balanced scorecard for R&D performance measurement, R&D Management, 34(3), 229-238.   DOI   ScienceOn
10 Al-Najjar, B. and Alsyouf, I. (2003), Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making, International Journal of Production Economics, 84(1), 85-100.   DOI
11 Banker, R. D. and Datar, S. M. (1989), Sensitivity, precision, and linear aggregation of signals for performance evaluation, Journal of Accounting Research, 27(1), 21-39.   DOI
12 Linton, J. D., Klassen, R., and Jayaraman, V. (2007), Susainable supply chains: an introduction, Journal of Operations Management, 25(6), 1075-1082.   DOI
13 Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., and Subba Rao, S. (2006), The impact of supply chain management practices on competitive advantage and organizational performance, Omega, 34(2), 107-124.   DOI   ScienceOn
14 Lin, Y. H., Tseng, M. L., Cheng, Y. L., Chiu, A. S. F., and Geng, Y. (2013), Performance evaluation of technological innovation capabilities in uncertainty, Scientific Research and Essays, 8(13), 501-514.
15 Lin, Y., Cheng, H. P., Tseng, M. L., and Tsai, J. C. C. (2010), Using QFD and ANP to analyze the environmental production requirements in linguistic preferences, Expert Systems with Applications, 37 (3), 2186-2196.   DOI
16 Pagell, M., Yang, C. L., Krumwiede, D. W., and Sheu, C. (2004), Does the competitive environment influence the efficacy of investments in environmental management? Journal of Supply Chain Management, 40(3), 30-39.   DOI
17 Pan, N. F. (2008), Fuzzy AHP approach for selecting the suitable bridge construction method, Automation in Construction, 17(8), 958-965.   DOI
18 Kaplan R. S. and Norton D. P. (1992), The balanced scorecard-measures that drive performance, Harvard Business Review, 70, 71-79.
19 Pineno, C. J. (2001), The balanced scorecard: an incremental approach model to health care management, Journal of Health Care Finance, 28(4), 69-80.
20 Saaty, T. L. (1980), The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw-Hill, New York, NY.
21 Singh, M. D., Shankar, R., Narain, R., and Agarwal, A. (2003), An interpretive structural modeling of knowledge management in engineering industries, Journal of Advances in Management Research, 1(1), 28-40.   DOI
22 Saaty, T. L. (1996), Decision Making with Dependence and Feedback: The Analytic Network Process: The Organization and Prioritization of Complexity, RWS Publications, Pittsburgh, PA.
23 Klassen, R. D. and Whybark, D. C. (1999), Environmental management in operations: the selection of environmental technologies, Decision Sciences, 30(3), 601-631.   DOI
24 Sarkis, J. (1998), Evaluating environmentally conscious business practices, European Journal of Operational Research, 107(1), 159-174.   DOI
25 Stanley, L. L. and Wisner, J. D. (2001), Service quality along the supply chain: implications for purchasing, Journal of Operations Management, 19(3), 287-306.   DOI
26 Tseng, M. L. (2009), Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila, Environmental Monitoring and Assessment, 156(1-4), 181-197.   DOI   ScienceOn
27 Tseng, M. L. (2011), Green supply chain management with linguistic preferences and incomplete information, Applied Soft Computing, 11(8), 4894-4903.   DOI
28 Tseng, M. L. and Lin, Y. H. (2009), Application of Fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila, Environmental Monitoring and Assessment, 158(1-4), 519-533.   DOI
29 Warfield, J. N. (1974), Developing interconnected matrices in structural modeling, IEEE Transactions on Systems Man and Cybernetics, 4(1), 81-87.
30 Tseng, M. L., Chiang, J. H., and Lan, L. W. (2009), Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral, Computers and Industrial Engineering, 57(1), 330-340.   DOI
31 Tseng, M. L., Lin, Y. H., Chiu, A. S. F., and Liao, J. C. H. (2008), Using FANP approach on selection of competitive priorities based on cleaner production implementation: a case study in PCB manufacturer, Taiwan, Clean Technologies and Environmental Policy, 10(1), 17-29.   DOI
32 Wang, C. H., Lu, I. Y., and Chen, C. B. (2010), Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance, International Journal of Production Economics, 128(1), 413-426.   DOI
33 Wu, H. Y., Tzeng, G. H., and Chen, Y. H. (2009), A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard, Expert Systems with Applications, 36(6), 10135-10147.   DOI
34 Wu, S. I. and Hung, J. M. (2008), A performance evaluation model of CRM on non-profit organizations, Total Quality Management, 19(4), 321-342.   DOI
35 Yao, Y., Palmer, J., and Dresner, M. (2007), An interorganizational perspective on the use of electronically- enabled supply chains, Decision Support Systems, 43(3), 884-896.   DOI   ScienceOn
36 Zadeh, L. A. (1975), The concept of a linguistic variable and its application to approximate reasoning-III, Information Sciences, 9(1), 43-80.   DOI   ScienceOn
37 Zadeh, L. A., (1965), Fuzzy set, Information and Control, 18(3), 338-353.
38 Zhu, Q., Sarkis, J., and Lai, K. H. (2008), Confirmation of a measurement model for green supply chain management practices implementation, International Journal of Production Economics, 111(2), 261-273.   DOI
39 Zhu, Q. and Geng, Y., (2001), Integrating environmental issues into supplier selection and management: a study of large and medium-sized state-owned enterprises in China, Greener Management International, 35, 27-40.
40 Zhu, Q. and Sarkis, J. (2004), Quality management and environmental management practices: an analysis of different size organizations in China, Journal of Environmental Quality Management, 13(3), 53-64   DOI
41 Zsidisin, G. A. and Siferd, S. P. (2001), Environmental purchasing: a framework for theory development, European Journal of Purchasing and Supply Management, 7(1), 61-73.   DOI   ScienceOn
42 Tseng, M. L. (2013), Modeling sustainable production indicators with linguistic preferences, Journal of Cleaner Production, 40, 46-56.   DOI
43 Agarwal, A., Shankar, R., and Tiwari, M. K. (2007), Modeling agility of supply chain, Industrial Marketing Management, 36(4), 443-457.   DOI
44 Johnston, D. A., McCutcheon, D. M., Stuart, F. I., and Kerwood, H. (2004), Effects of supplier trust on performance of cooperative supplier relationships, Journal of Operations Management, 22(1), 23-38.   DOI   ScienceOn
45 Tseng, M. L. (2010), Implementation and performance evaluation using the fuzzy network balanced scorecard, Computers and Education, 55(1), 188-201.   DOI