Developing a Model for Evaluating and Prioritizing Effective Factors on Mobile Supply Chain Management Diffusion

Document Type : Research Paper


1 Assistant Prof., Department of Management, Shiraz University, Shiraz, Iran.

2 Masters Student, Department of Management, Shiraz University, Shiraz, Iran.


Managers should pay more attention to flexible production systems in order to cope with the challenges posed by factors such as global competition, changing customer demands, increasing market penetration, and rapid technological growth. On the other hand, the development of information and communication technology (ICT) provides significant opportunities for a more effective supply chain management including mobile supply chains. This research is aimed at identifying and prioritizing the factors affecting the diffusion of mobile supply chain management systems in dairy industries. To do this, the effective factors and key performance variables were identified through the reviewing associated literature followed by utilizing the Interpretative Ranking Process (IRP). The Prioritization of the factors was conducted with respect to the performance variables. Applying this method provides the ability to prioritize indicators with respect to variables that are very influential in business based on experts' opinions. The results of this study indicate that having appropriate knowledge, compatibility with existing infrastructure, Privacy of data stored and company revenue have the highest rank in this prioritization.


Main Subjects

Arsovski, Z., & Rankovic, V. (2011). Mobile supply chain management–key technologies and applications. Center for Quality.
Atkins, A., Zhang, L., & Yu, H. (2010). Application of RFID and Mobile technology in Tracking of Equipment for Maintenance in the Mining Industry. Paper presented at the The Australasian Institute of Mining and Metallurgy.
Auramo, J., Kauremaa, J., & Tanskanen, K. (2004). Benefits of IT in supply chain management–an explorative study of progressive Finnish Companies. Department of Industrial Engineering & Management, Helsinki University of Technology.
Barata, J., & Cunha, P. (2016). Mobile supply chain management: moving where. Paper presented at the Proceedings of the 13th European, Mediterranean and middle eastern conference on information systems (EMCIS).
Barata, J., Rupino Da Cunha, P., & Stal, J. (2018). Mobile supply chain management in the industry 4.0 era: an annotated bibliography and guide for future research. Journal of Enterprise Information Management, 31(1), 173-192.
Beldman, A., van Berkum, S., Kortstee, H., & Zijlstra, J. (2017). Dairy farming and dairy industry in Iran: Wageningen Economic Research.
Car, T., Pilepic, L., & Simunic, M. (2014). Mobile technologies and supply chain management-lessons for the hospitality industry. Tourism and hospitality management, 20(2), 207-219.
Chan, F. T., & Chong, A. Y.-L. (2013). Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms. International Journal of Production Research, 51(4), 1196-1213.
Chang, I., 2007. Factors affecting the adoption of electronic signature: Executives’ perspective of hospital information department. Decision Support Systems, 44 (1), 350–359.
Chong, A.Y.L. and Ooi, K.B., 2008. Adoption of interorganizational system standards in supply chains: An empirical analysis of RosettaNet standards. Industrial Management & Data Systems, 108 (4), 529–547.
Chopra, S., & Meindl, P. (2001). Supply Chain Management: Strategy, Planning, and Operation. Prentice Hall.
Clemens, B., Cata, T., & Hackbarth, G. (2012). Mobile device considerations for supply chain and ERP related systems. Communications of the IBIMA, 2012, 1.
Craighead, C., Patterson, J., Roth, P., & Segars, A. (2006). Enabling the benefits of supply chain management systems: an empirical study of electronic data interchange (EDI) in manufacturing. International Journal of Production Research, 44(1), 135-157.
Daghfous, A., & Barkhi, R. (2009). The strategic management of information technology in UAE hotels: An exploratory study of TQM, SCM, and CRM implementations. Technovation, 29(9), 588-595.
Dedrick, J., Kraemer, K. L., & Linden, G. (2011). The distribution of value in the mobile phone supply chain. Telecommunications Policy, 35(6), 505-521.
Diaconu, D. M., & Alpopi, C. (2014). Strengths and Weaknesses of Current Supply Chain Management and Initiatives for the Future. Paper presented at the Proceedings of the 8th International Management Conference" Management Challenges For Sustainable Development", November 6th-7th, Bucharest, Romania.
Elfirdoussi, S. (2018). Using mobile service for supply chain management: a survey and challenges. arXiv preprint arXiv:1807.00617.
Eng, T.-Y. (2006). Mobile supply chain management: Challenges for implementation. Technovation, 26(5-6), 682-686.
Felix T.S. Chan & Alain Yee-Loong Chong (2013) Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms, International Journal of Production Research, 51:4, 1196-1213
Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies. Journal of operations management, 19(2), 185-200.
Govindan, K., Cheng, T., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management: Elsevier.
Green, D. P. (2010). Sustainable Food Supply Chains. Journal of Aquatic Food Product Technology, 19 (2): 55-56
Gunasekaran, A., & Ngai, E. W. (2004). Information systems in supply chain integration and management. European journal of operational research, 159(2), 269-295.
Haleem, A., Sushil, Qadri, M. A., & Kumar, S. (2012). Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process. Production Planning & Control, 23(10-11), 722-734.
Hartmann, J., & Moeller, S. (2014). Chain liability in multitier supply chains? Responsibility attributions for unsustainable supplier behavior. Journal of operations management, 32(5), 281-294.
Huang, G., Wright, P., & Newman, S. T. (2009). Wireless manufacturing: a literature review, recent developments, and case studies. International Journal of Computer Integrated Manufacturing, 22(7), 579-594.
Kalem, G., Kurt, O., Vayvay, Ö., & Şimşit, Kalender, Z. (2016). Today's and Tomorrow's Mobile Technologies in Supply Chains (Vol. 13).
Ketikidis, P., Koh, S., Dimitriadis, N., Gunasekaran, A., & Kehajova, M. (2008). The use of information systems for logistics and supply chain management in South East Europe: Current status and future direction. Omega, 36(4), 592-599.
Konovalenko, I., & Ludwig, A. (2019). Event processing in supply chain management–The status quo and research outlook. Computers in Industry, 105, 229-249.
Kurbel, K., Jankowska, A. M., & Nowakowski, K. (2006). A mobile user interface for an ERP system. Issues in Information Systems, 7(2), 146-151.
Kuan, K.K.Y. and Chau, P.Y.K., 2001. A perception-based model for EDI adoption in small businesses using a technology– organization–environment framework. Information & Management, 38 (8), 507–521.
KURT, O., KALEM, G., VAYVAY, Ö., & KALENDER, Z. T. (2016). The Role of Mobile Devices and Applications in Supply Chains. International Journal of Economics and Management Systems, 1, 94-103.
Lenny Koh, S., Demirbag, M., Bayraktar, E., Tatoglu, E., & Zaim, S. (2007). The impact of supply chain management practices on performance of SMEs. Industrial Management & Data Systems, 107(1), 103-124.
Lenny Koh, S., Saad, S., & Arunachalam, S. (2006). Competing in the 21st century supply chain through supply chain management and enterprise resource planning integration. International Journal of Physical Distribution & Logistics Management, 36(6), 455-465.
Levi-Bliech, M., Naveh, G., Pliskin, N., & Fink, L. (2018). Mobile Technology and Business Process Performance: The Mediating Role of Collaborative Supply–Chain Capabilities. Information Systems Management, 35(4), 308-329.
Ma, J., & Xie, L. (2018). The impact of loss sensitivity on a mobile phone supply chain system stability based on the chaos theory. Communications in Nonlinear Science and Numerical Simulation, 55, 194-205.
Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business logistics, 22(2), 1-25.
Nejatolahi, M., Mehrjo, F., Sheykhi, A., & Bineshpor, M. (2014). Lead Concentrations in Raw Cows' Milk from Fars Province of Iran. American Journal of Food and Nutrition, 2(5), 92-94.
Pan, Y., Nam, T., Ogara, S., & Lee, S. (2013). Adoption model of mobile-enabled systems in supply chain. Industrial Management & Data Systems, 113(2), 171-189.
Shapiro, J. (2001). Beyond supply chain optimization to enterprise optimization. Cleveland, OH: SLIM Technologies.
Sharma, A., Citurs, A., and Konsynski, B., (2007). Strategic and institutional perspectives in the adoption and early integration of radio frequency identification (RFID). In: HICSS ’07 proceedings of the 40th annual Hawaii international conference on system sciences, 3–6 January, Hawaii, USA, IEEE Explore, 1–10.
Shi, Q., Ding, X., Zuo, J., & Zillante, G. (2016). Mobile Internet based construction supply chain management: A critical review. Automation in Construction, 72, 143-154.
Siau, K., & Shen, Z. (2002). Mobile commerce applications in supply chain management. Journal of Internet Commerce, 1(3), 3-14.
Simatupang, T. M., Victoria Sandroto, I., & Hari Lubis, S. (2004). Supply chain coordination in a fashion firm. Supply Chain Management: An International Journal, 9(3), 256-268.
Singh, D., & Verma, A. (2018). Inventory management in supply chain. Materials Today: Proceedings, 5(2), 3867-3872.
Srinivasan, K., Kekre, S., & Mukhopadhyay, T. (1994). Impact of electronic data interchange technology on JIT shipments. Management Science, 40(10), 1291-1304
Sushil, D. (2009). Interpretive Ranking Process. Global Journal of Flexible Systems Management, 10(4), 1-10.
Wang, W., Li, T., Zhao, W., & Dai, W. (2009). Mobile Agent System for Supply Chain Management. Paper presented at the The 2009 International Symposium Computer Science and Computational Technology (ISCSCT 2009.
Wang, Y.M., Wang, Y.S., and Yang, Y.F., (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change, 77 (5), 803–815.
Welker, G. A., van der Vaart, T., & van Donk, D. P. (2008). The influence of business conditions on supply chain information-sharing mechanisms: a study among supply chain links of SMEs. International Journal of Production Economics, 113(2), 706-720.
Xu, S., Zhu, K., and Gibbs, J., (2004). Global technology, local adoption: a cross-country investigation of Internet adoption by companies in the United States and China. Electronic Markets, 14 (1), 13–24.
Yang, Q., Wang, Y., & Ren, Y. (2019). Research on financial risk management model of internet supply chain based on data science. Cognitive Systems Research.
Yao, Y., Palmer, J., & Dresner, M. (2007). An interorganizational perspective on the use of electronically-enabled supply chains. Decision support systems, 43(3), 884-896.
Yuan, Q., Xiaokang, Z., & Qiong, Z. (2008). Key technology and system design in mobile supply chain management. Paper presented at the Electronic Commerce and Security, 2008 International Symposium on.
Zha, M., Liu, X., & Zhang, Z. (2008). Research on mobile supply chain management based ubiquitous network. Paper presented at the Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on.
Zhao, W., Wu, H., Dai, W., & Li, X. (2009). Integration Middleware for Mobile Supply Chain Management. Paper presented at the Proceedings. The 2009 International Symposium on Computer Science and Computational Technology (ISCSCI 2009).
Zhu, K., Kraemer, K. L., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Management Science, 52(10), 1557-1576.