Journal of Supply Chain Management Systems

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Interpretive Structural Modeling of Information Sharing Barriers in Indian Manufacturing Firms


Affiliations
1 Mechanical Engineering Department, Medicaps Institute of Technology and Management, Indore, Madhya Pradesh, India
2 Mechanical Engineering Department, Medicaps Institute of Technology and Management, Indore, Madhya Pradesh, India
3 Mechanical Engineering Department, Institute of Engineering and Technology, DAVV, Indore, Madhya Pradesh, India
     

   Subscribe/Renew Journal


This paper highlights the barriers encountered mainly in Indian manufacturing industries during their information sharing in supply chain management. Here we have identified the barriers as well as modeled them for finding out the dependency power and driving power of all the barriers encountered in all types of manufacturing industries by using interpretive structural modeling (ISM) technique. Information sharing is the power of supply chain. Today's need is to make effective information sharing (IS) but the main difficulty occurs when a lot of barriers come into existence and there exists an ambiguity when it is not known which barriers to be eliminated or reduced first. This paper helps to identify and makes hierarchy of barriers according to their dependency and driving power.

Keywords

Information Sharing, Interpretive Structural Modelling, Barriers
Subscription Login to verify subscription
User
Notifications
Font Size


  • Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modeling (ISM) approach: An overview. Research Journal of Management Sciences, 2(2), 3-8.

  • Awad, H., & Nassar, M, (2010). Supply chain integration: Defi nition and challenges. Proceeding of the International Multi Conference of Engineers and Computer Scientists (IMECS-2010), 1, 405–409.

  • Cetindamar, D., Catay, B., Basmaci, O.S. (2005). Competition through collaboration: Insights from an initiative in the Turkish textile supply chain. Supply Chain Management, 10(4), 238-240.

  • Chen, I. J., & Paulraj, A. (2006). The Role of Information Technology in Supply Chain Integration, 1(2), 202-219.

  • Christopher, M. (2000). The agile supply chain competing in volatile markets. Industrial Marketing Management, 29(1), 37-44.

  • Dashore, K., & Sohani, N., (2013). Green supply chain management - barriers & drivers: A review. International Journal of Engineering Research & Technology (IJERT), 2(4), 2021-2030.

  • Fawcett, S. E. & Williams, A. J. (2003). Supply chain trust and commitment: Practical perspectives for long term success. Proceedings of the 88th International Conference of the Institute for Supply Management, Nashville, TN.

  • Jharkharia, S., & Shankar, R. (2004). supply chain management: some insights from Indian manufacturing companies. Asian Academy of Management Journal, 9(1), 79–98.

  • M. K. Khurana., P. K. Mishra, Jain, R., & Singh, A. R. (2010). Modelling of information sharing enablers for building trust in Indian manufacturing industry: An Integrated ISM and Fuzzy MICMAC Approach. International Journal of Engineering Science and Technology, 2(6), 1651-1669.

  • Malone, D. W. (1975). Battelle Columbus Laboratories, Columbus, Ohio. An Introduction to the Application of Interpretive Structural Modeling. Chapter- 14.

  • Paul Choi, H-C., & Fullerton, C. A. (2010). Information sharing in supply chain management: A literature review on analytical research. California Journal of Operations Management, 8(1), 110-116.

  • Pujara, A. A., Kant, R., & Singh, M. D. (2011). Information sharing in supply chain: Modeling the barriers. Proceedings of IEEE International Conference on Industrial Engineering & Engineering Management (IEEE-IEEM-2011), Singapore, December 6-9.

  • Raj, T., Shankar, R., & Suhaib, M. (2008). An ISM approach for modelling the enablers of flexible manufacturing system: the case for India. International Journal of Production Research, 46(24), 6883–6912.

  • Sohani, N., & Sohani, N. Developing interpretive structural model for quality framework in higher education: Indian context. Journal of Engineering, Science & Management Education, 5(2), 495–501.

  • Thakkar, J., Kanda, A., & Deshmukh, S. G. (2008). Interpretive structural modeling (ISM) of IT-enablers for Indian manufacturing SMEs. Information Management & Computer Security, 16(2), 113 – 136.


Abstract Views: 363

PDF Views: 0




  • Interpretive Structural Modeling of Information Sharing Barriers in Indian Manufacturing Firms

Abstract Views: 363  |  PDF Views: 0

Authors

Prashant Gour
Mechanical Engineering Department, Medicaps Institute of Technology and Management, Indore, Madhya Pradesh, India
Ram Janm Singh
Mechanical Engineering Department, Medicaps Institute of Technology and Management, Indore, Madhya Pradesh, India
Nagendra Sohani
Mechanical Engineering Department, Institute of Engineering and Technology, DAVV, Indore, Madhya Pradesh, India

Abstract


This paper highlights the barriers encountered mainly in Indian manufacturing industries during their information sharing in supply chain management. Here we have identified the barriers as well as modeled them for finding out the dependency power and driving power of all the barriers encountered in all types of manufacturing industries by using interpretive structural modeling (ISM) technique. Information sharing is the power of supply chain. Today's need is to make effective information sharing (IS) but the main difficulty occurs when a lot of barriers come into existence and there exists an ambiguity when it is not known which barriers to be eliminated or reduced first. This paper helps to identify and makes hierarchy of barriers according to their dependency and driving power.

Keywords


Information Sharing, Interpretive Structural Modelling, Barriers

References