Key factors for information integration in the supply chain – measurement, technology and information characteristics
Abstract
This paper aims to identify key factors related to information management and integration in the supply chain (SC). The initial set of factors was identified in the literature, namely, information quality and content, performance metrics, and information technologies. The construct was then tested empirically using the sample of 200 Polish companies. Computer-Assisted Telephone Interviews (CATI) were based on a structured questionnaire, then, data exploratory factor analysis (EFA) was performed. The conducted EFA determined four main factors for information management and integration in the supply chain that should be considered, namely, information characteristics, ICT used in information management, the scope of information and shared performance metrics. Results confirmed the importance of some of the factors related to information management in the supply chain, however having a different set of variables than indicated in the literature. Additionally, research introduced new factors, namely, information characteristics and the scope of shared information, instead of information quality and information content. Moreover, findings suggested that the key role in SC information integration was related to established technologies, focused on transport, customer, and ERP management, while emerging technologies, such as cloud computing and data mining were not of the top importance among the surveyed companies.
Keyword : Supply Chain Performance Management (SCPM), supply chain performance measurement, information management, information sharing technologies, Exploratory Factor Analysis (EFA)
How to Cite
Szymczak, M., Ryciuk, U., Leończuk, D., Piotrowicz, W., Witkowski, K., Nazarko, J., & Jakuszewicz, J. (2018). Key factors for information integration in the supply chain – measurement, technology and information characteristics. Journal of Business Economics and Management, 19(5), 759-776. https://doi.org/10.3846/jbem.2018.6359
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Chodakowska E., & Nazarko J. (2017). Network DEA Models for Evaluating Couriers and Messengers. Procedia Engineering, 182, 106-111. https://doi.org/10.1016/j.proeng.2017.03.130
Cuthbertson, R., & Piotrowicz, W. (2011). Performance measurement systems in supply chains: a framework for contextual analysis. International Journal of Productivity and Performance Management, 60(6), 583-602. https://doi.org/10.1108/17410401111150760
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Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007b). Information sharing and supply chain performance: the role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358-368. https://doi.org/10.1016/j.sbspro.2015.01.1225
Fiala, P. (2005). Information sharing in supply chains. Omega, 33(5), 419-423. https://doi.org/10.1016/j.omega.2004.07.006
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Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(½), 71-87. https://doi.org/10.1108/01443570110358468
Hilbert, M. (2016). Big Data for development: a review of promises and challenges. Development Policy Review, 34(1), 135-174. https://doi.org/10.1111/dpr.12142
Jharkharia, S., & Shankar, R. (2004). IT enablement of supply chains: modelling the enablers. International Journal of Productivity and Performance Management, 53(8), 700-712. https://doi.org/10.1108/17410400410569116
Jung, S. (2013). Exploratory factor analysis with small sample sizes: a comparison of three approaches. Behavioural Processes, 97, 90-95. https://doi.org/10.1016/j.beproc.2012.11.016
Laney, D. (2001). 3D data management: controlling data volume, velocity and variety, application delivery strategies, META Group Inc. Retrieved from https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-DataVolume-Velocity-and-Variety.pdf
Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93. https://doi.org/10.1504/IJMTM.2000.001329
Li, S., & Lin, B. (2006). Accessing Information sharing and information quality in supply chain management. Decision Support Systems, 42, 1641-1656. https://doi.org/10.1016/j.dss.2006.02.011
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Li, S., Rao, S. S., Ragu-Nathan, T. S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying chain management practices. Journal of Operations Management, 23(6), 618-641. https://doi.org/10.1016/j.jom.2005.01.002
Lohman, C., Fortuin, L., & Wouters, M. (2004). Designing a performance measurement system: a case study. European Journal of Operations Research, 156(2), 267-286. https://doi.org/10.1016/S0377-2217(02)00918-9
Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: a systematic review and research agenda. International Journal of Production Economics, 183, 299-315. https://doi.org/10.1016/j.ijpe.2016.11.005
McAdam, R., Hazlett, S. A., & Galbraith, B. (2014). The role of performance measurement models in multi level alignment: an exploratory case analysis in the utilities sector. International Journal of Operations & Production Management, 34(9), 1153-1183. https://doi.org/10.1108/IJOPM-09-2011-0313
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. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
Moberg, C. R., Cutler, B. D., Gross, A., Speh, T. W. (2002). Identifying antecedents of information exchange within supply chains. International Journal of Physical Distribution & Logistics Management, 32(9), 755-770. https://doi.org/10.1108/09600030210452431
Monczka, R. M., Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (1998). Success factors in strategic supplier alliances: the buying company perspective. Decision Sciences, 29, 553-577. https://doi.org/10.1111/j.1540-5915.1998.tb01354.x
Montoya-Torres, J. R., & Ortiz-Vargas, D. A. (2014). Collaboration and information sharing in dyadic supply chains: a literature review over the period 2000–2012. Estudios Gerenciales, 30, 343-354. https://doi.org/10.1016/j.estger.2014.05.006
Morgan, C. (2004). Structure, speed and salience: performance measurement in the supply chain. Business Process Management Journal, 10(5), 522-536. https://doi.org/10.1108/14637150410559207
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: a literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116. https://doi.org/10.1108/01443579510083622
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill.
Piotrowicz, W., & Cuthbertson, R. (2015). Performance measurement and metrics in supply chains: an exploratory study. International Journal of Productivity and Performance Management, 64(8), 1068-1091. https://doi.org/10.1108/IJPPM-04-2014-0064
Piotrowicz, W., & Irani, Z. (2010). Analysing B2B electronic procurement benefits: information systems perspective. Journal of Enterprise Information Management, 23(4), 559-579. https://doi.org/10.1108/17410391011061816
Ramanathan, U., Gunasekaran, A., & Subramanian, N. (2011). Supply chain collaboration performance metrics: a conceptual framework. Benchmarking: An International Journal, 18(6), 856-872. https://doi.org/10.1108/14635771111180734
Rossoni, L., Engelbert, R., & Bellegard, N. L. (2016). Normal science and its tools: reviewing the effects of factor analysis in management. Revista de Administração (RAUSP), 51(2), 198-211. https://doi.org/10.5700/rausp1234
Ruhi, U., & Turel, O. (2005). Driving visibility, velocity and versatility: the role of mobile technologies in supply chain management. Journal of Internet Commerce, 4(3), 95-117. https://doi.org/10.1300/J179v04n03_06
Sahin, F., & Robinson, E. P. (2007). Flow coordination and information sharing in supply chains: review, implications, and directions for future research. Decision Sciences, 33(4), 505-536. https://doi.org/10.1111/j.1540-5915.2002.tb01654.x
Sezen, B., (2008). Relative effects of design, integration and information sharing on supply chain performance. Supply Chain Management: An International Journal, 13(3), 233-240. https://doi.org/10.1108/13598540810871271
Shapiro, J. F. (2004). Challenges of strategic supply chain planning and modelling. Computers & Chemical Engineering, 28(6-7), 855-861. https://doi.org/10.1016/j.compchemeng.2003.09.013
Simchi-Levi, D., Kaminsky, Ph., & Simchi-Levi, E. (2003). Designing & Managing the Supply Chain. Concepts, Strategies & Case Studies (2nd ed.). New York: McGraw-Hill/Irwin.
Szuster, M., & Szymczak, M. (2016). Innovation, knowledge and information management in supply chains. Economics and Management, 8(1), 26-36. https://doi.org/10.1515/emj-2016-0003
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics. Boston: Pearson.
Tan, G. W. (1999). The impact of demand information sharing on supply chain network (Dissertation). University of Illinois at Urbana-Champaign.
Whipple, J. M., Frankel, R., & Daugherty, P. J. (2002). Information support for alliances: performance implications, Journal of Business Logistics, 23, 67-82. https://doi.org/10.1002/j.2158-1592.2002.tb00026.x
Wu, I-L., Chuang, Ch-H., & Hsu, Ch-H. (2014). Information sparing and collaborative behaviors in enabling supply chain performance: a social exchange perspective. International Journal of Production Economics, 148(C), 122-132. https://doi.org/10.1016/j.ijpe.2013.09.016
Yu, Z., Yan, H., & Edwin Cheng, T. C. (2001). Benefits of information sharing with supply chain partnerships. Industrial Management & Data Systems, 101(3), 114-121. https://doi.org/10.1108/02635570110386625
Zhou, H., & Benton Jr., W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365. https://doi.org/10.1016/j.jom.2007.01.009
Balfaqih, H., Nopiah, Z. M., Saibani, N., & Al-Nory, M. T. (2016). Review of supply chain performance measurement systems: 1998–2015. Computers in Industry, 82, 135-150. https://doi.org/10.1016/j.compind.2016.07.002
Beamon, B. M., & Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21(1), 4-25. https://doi.org/10.1108/09513550810846087
Brewer, P. C., & Speh, T. W. (2001). Adapting the balanced scorecard to supply chain management. Supply Chain Management Review, 5(2), 48-56.
Campo, S., Rubio, N., & Yagüe, M. J. (2010). Information technology use and firm’s perceived performance in Supply Chain management. Journal of Business-to-Business Marketing, 17(4), 336-364. https://doi.org/10.1080/10517120903574649
Cho, D. W., Lee, Y. H., Ahn, S. H., & Hwang, M. K. (2012). A framework for measuring the performance of service supply chain management, Computers & Industrial Engineering, 62(3), 801-818. https://doi.org/10.1016/j.cie.2011.11.014
Chodakowska E., & Nazarko J. (2017). Network DEA Models for Evaluating Couriers and Messengers. Procedia Engineering, 182, 106-111. https://doi.org/10.1016/j.proeng.2017.03.130
Cuthbertson, R., & Piotrowicz, W. (2011). Performance measurement systems in supply chains: a framework for contextual analysis. International Journal of Productivity and Performance Management, 60(6), 583-602. https://doi.org/10.1108/17410401111150760
Fawcett, S. E., Ellram, L. M., & Ogden, J. A. (2007a). Supply chain management. From vision to implementation. Upper Saddle River, NJ: Pearson Education.
Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007b). Information sharing and supply chain performance: the role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358-368. https://doi.org/10.1016/j.sbspro.2015.01.1225
Fiala, P. (2005). Information sharing in supply chains. Omega, 33(5), 419-423. https://doi.org/10.1016/j.omega.2004.07.006
Field, A. (2009). Discovering statistics using SPSS. London: SAGE Publications. Fynes, B., Voss, C., & de Búrca S. (2005). The impact of supply chain relationship quality on quality performance. International Journal of Production Economics, 96(3), 339-354. https://doi.org/10.1016/j.ijpe.2004.05.008
Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(½), 71-87. https://doi.org/10.1108/01443570110358468
Hilbert, M. (2016). Big Data for development: a review of promises and challenges. Development Policy Review, 34(1), 135-174. https://doi.org/10.1111/dpr.12142
Jharkharia, S., & Shankar, R. (2004). IT enablement of supply chains: modelling the enablers. International Journal of Productivity and Performance Management, 53(8), 700-712. https://doi.org/10.1108/17410400410569116
Jung, S. (2013). Exploratory factor analysis with small sample sizes: a comparison of three approaches. Behavioural Processes, 97, 90-95. https://doi.org/10.1016/j.beproc.2012.11.016
Laney, D. (2001). 3D data management: controlling data volume, velocity and variety, application delivery strategies, META Group Inc. Retrieved from https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-DataVolume-Velocity-and-Variety.pdf
Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93. https://doi.org/10.1504/IJMTM.2000.001329
Li, S., & Lin, B. (2006). Accessing Information sharing and information quality in supply chain management. Decision Support Systems, 42, 1641-1656. https://doi.org/10.1016/j.dss.2006.02.011
Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. The International Journal of Management Science, 34(2), 107-124. https://doi.org/10.1016/j.omega.2004.08.002
Li, S., Rao, S. S., Ragu-Nathan, T. S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying chain management practices. Journal of Operations Management, 23(6), 618-641. https://doi.org/10.1016/j.jom.2005.01.002
Lohman, C., Fortuin, L., & Wouters, M. (2004). Designing a performance measurement system: a case study. European Journal of Operations Research, 156(2), 267-286. https://doi.org/10.1016/S0377-2217(02)00918-9
Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: a systematic review and research agenda. International Journal of Production Economics, 183, 299-315. https://doi.org/10.1016/j.ijpe.2016.11.005
McAdam, R., Hazlett, S. A., & Galbraith, B. (2014). The role of performance measurement models in multi level alignment: an exploratory case analysis in the utilities sector. International Journal of Operations & Production Management, 34(9), 1153-1183. https://doi.org/10.1108/IJOPM-09-2011-0313
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. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
Moberg, C. R., Cutler, B. D., Gross, A., Speh, T. W. (2002). Identifying antecedents of information exchange within supply chains. International Journal of Physical Distribution & Logistics Management, 32(9), 755-770. https://doi.org/10.1108/09600030210452431
Monczka, R. M., Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (1998). Success factors in strategic supplier alliances: the buying company perspective. Decision Sciences, 29, 553-577. https://doi.org/10.1111/j.1540-5915.1998.tb01354.x
Montoya-Torres, J. R., & Ortiz-Vargas, D. A. (2014). Collaboration and information sharing in dyadic supply chains: a literature review over the period 2000–2012. Estudios Gerenciales, 30, 343-354. https://doi.org/10.1016/j.estger.2014.05.006
Morgan, C. (2004). Structure, speed and salience: performance measurement in the supply chain. Business Process Management Journal, 10(5), 522-536. https://doi.org/10.1108/14637150410559207
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: a literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116. https://doi.org/10.1108/01443579510083622
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill.
Piotrowicz, W., & Cuthbertson, R. (2015). Performance measurement and metrics in supply chains: an exploratory study. International Journal of Productivity and Performance Management, 64(8), 1068-1091. https://doi.org/10.1108/IJPPM-04-2014-0064
Piotrowicz, W., & Irani, Z. (2010). Analysing B2B electronic procurement benefits: information systems perspective. Journal of Enterprise Information Management, 23(4), 559-579. https://doi.org/10.1108/17410391011061816
Ramanathan, U., Gunasekaran, A., & Subramanian, N. (2011). Supply chain collaboration performance metrics: a conceptual framework. Benchmarking: An International Journal, 18(6), 856-872. https://doi.org/10.1108/14635771111180734
Rossoni, L., Engelbert, R., & Bellegard, N. L. (2016). Normal science and its tools: reviewing the effects of factor analysis in management. Revista de Administração (RAUSP), 51(2), 198-211. https://doi.org/10.5700/rausp1234
Ruhi, U., & Turel, O. (2005). Driving visibility, velocity and versatility: the role of mobile technologies in supply chain management. Journal of Internet Commerce, 4(3), 95-117. https://doi.org/10.1300/J179v04n03_06
Sahin, F., & Robinson, E. P. (2007). Flow coordination and information sharing in supply chains: review, implications, and directions for future research. Decision Sciences, 33(4), 505-536. https://doi.org/10.1111/j.1540-5915.2002.tb01654.x
Sezen, B., (2008). Relative effects of design, integration and information sharing on supply chain performance. Supply Chain Management: An International Journal, 13(3), 233-240. https://doi.org/10.1108/13598540810871271
Shapiro, J. F. (2004). Challenges of strategic supply chain planning and modelling. Computers & Chemical Engineering, 28(6-7), 855-861. https://doi.org/10.1016/j.compchemeng.2003.09.013
Simchi-Levi, D., Kaminsky, Ph., & Simchi-Levi, E. (2003). Designing & Managing the Supply Chain. Concepts, Strategies & Case Studies (2nd ed.). New York: McGraw-Hill/Irwin.
Szuster, M., & Szymczak, M. (2016). Innovation, knowledge and information management in supply chains. Economics and Management, 8(1), 26-36. https://doi.org/10.1515/emj-2016-0003
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics. Boston: Pearson.
Tan, G. W. (1999). The impact of demand information sharing on supply chain network (Dissertation). University of Illinois at Urbana-Champaign.
Whipple, J. M., Frankel, R., & Daugherty, P. J. (2002). Information support for alliances: performance implications, Journal of Business Logistics, 23, 67-82. https://doi.org/10.1002/j.2158-1592.2002.tb00026.x
Wu, I-L., Chuang, Ch-H., & Hsu, Ch-H. (2014). Information sparing and collaborative behaviors in enabling supply chain performance: a social exchange perspective. International Journal of Production Economics, 148(C), 122-132. https://doi.org/10.1016/j.ijpe.2013.09.016
Yu, Z., Yan, H., & Edwin Cheng, T. C. (2001). Benefits of information sharing with supply chain partnerships. Industrial Management & Data Systems, 101(3), 114-121. https://doi.org/10.1108/02635570110386625
Zhou, H., & Benton Jr., W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365. https://doi.org/10.1016/j.jom.2007.01.009