Main Article Content
Supply chain management can be viewed as an important part of a company's strategic strategy for increasing efficiency, results, and profitability. The aim of this paper is to us the fuzzy DEMATEL method to examine the impact of IT innovation on the operations of supply chain management of food industry in Nigeria. The study obtained sixteen (16) perspectives of impact of IT innovation on food industry SC management as obtain from literature and brain stormy of experts. A fuzzy Linguistic scale was developed and applies it to food manufacturing firms in Nigeria to test the level of the impact of IT innovation on supply chain management. The questionnaire designed for pairwise comparison to evaluate the influence of each score, where scores of 0, 1, 2, 3 and 4 represent: (no influence), (Very low influence), (low influence), (high influence) and (very high influence), respectively. Twelve experts were asked to complete the questionnaire comprises of 6 general managers, 6 Supply Chain managers all of food industry. Then the Fuzzy DEMATEL method was applied to analyze the importance of criteria and the casual relations among the criteria constructed. The result showed that the advanced planning system had the most impact and the strongest link to other criteria. As a result, APS is a key rationale and key criteria that influence other criteria and driving factors to solve problems.
Available: www.cscmp,org – Council of Supply Chain Management Professionals; 2013
Mackelprang AW, Robinson JL, Bernardes E, Webb GS. The relationship between strategic supply chain integration and performance: a meta‐analytic evaluation and implications for supply chain management research. Journal of Business Logistics. 2014;35(1):71-96.
Bayraktar ME, Hastak M. Bayesian belief network model for decision making in highway maintenance: Case studies. Journal of construction engineering and management. 2009; 135(12):1357-1369.
Fu S, Fedota JR, Greenwood PM, Parasuraman R. Dissociation of visual C1 and P1 components as a function of attentional load: an event-related potential study. Biological psychology. 2010;85(1): 171-178.
Cachon GP, Fisher M. Supply chain inventory management and the value of shared information. Management science. 2000;46(8):1032-1048.
Cachon GP, Lariviere MA. Contracting to assure supply: How to share demand forecasts in a supply chain. Management science. 2001;47(5):629-646.
Özer Ö, Wei W. Strategic commitments for an optimal capacity decision under asymmetric forecast information. Manage ment science. 2006; 52(8):1238-1257.
Dharni K, Rodrigue RK. Supply chain management in food processing sector: Experience from India. International Journal of Logistics Systems and Management. 2015;21(1):115–132.
Gabus A, Fontela E. World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland. 1972;1-8.
Tamura H. Large Scale Systems -Modeling, Control and Decision Making, Ed. Tokyo: Shokodo, (in Japanese); 1986.
Wu WW. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Systems with Applications. 2008; 35;3:828-835.
Saraf N, Langdon CS, Gosain S. IS application capabilities and relational value in inter firm partnerships? Information systems research. 2007;18(3):320-339.
Malhotra A, Gosain S, Sawy OAE. Absorptive capacity configurations in supply chains: gearing for partner-enabled market knowledge creation. MIS quarterly. 2005;145-187.
Feldmann K, Franke J, Schüßler F. Devel opment of micro assembly processes for fu rther miniaturization in electronics producti on. CIRP Annals-Manufacturing Technolo gy. 2010;59(1):1-4
Smith AD, Offodile OF. Exploring forecas ting and project management characteris tics of supply chain managem ent. International Journal of Logistics Syst ems and Management. 2007;3(2):174- 214.
Zhong RY, Dai QY, Qu T, Hu GJ, Huang GQ. RFID-enabled real-time manufacturing execution system for mass-customization production. Robotics and Computer-Integrated Manufacturing. 2013;29(2):283-292.
Jespersen BD, Skjott-Larsen T. Supply Chain Management: In Theory and Practi ce. Copenhagen Business School Press; 2005.
Luis Antonio de Santa-Eulalia, Sophie D’Amours, Jean-Marc Frayret, Cláudio César Menegusso and Rodrigo Cambiaghi Azevedo. Advanced Supply Chain Planning Systems (APS) Today and Tomorrow, Supply Chain Management - Pathways for Research and Practice, Dilek Onkal, Intech Open; 2011.
Stadtler H. Supply chain management and advanced planning––basics, overview and challenges. European journal of operation al research. 2005;163(3):575-588.
Resch A, Blecker T. Smart logistics–a literature review. Pioneering supply chain design: a comprehensive insight into eme rging trends, technologies and applicati ons. Eul, Köln. 2012;91-102.
Nuaimi Al E, Al Neyadi H, Mohamed N. Applications of big data to smart cities. J Internet Serv Appl. 2015;6:25. Available:https://doi.org/10.1186/s13174-015-0041-5
Keyes EF. Mental health status in refugees: an integrative review of current research. Issues in Mental Health Nursing. 2000;21(4):397-410.
Lee HL, Padmanabhan V, Whang S. Information distortion in a supply chain: the bullwhip effect. Management science, 50 (12_supplement). 2004;1875-1886.
Miao J, Wang L. Rapid identification authentication protocol for mobile nodes in internet of things with privacy protection. J. Networks. 2012;7:1099-1105.
Botthof A, Hartmann AE. Zukunft der Arbe it in Industrie 4.0. Springer Nature; 2015.
Min C, Jiafu W, Fang L. Machine-to-Machine Communications: Architectures, Standards and Applications. KSII transact ions on internet and information systems. 2012;6(2):480-495.
Zheng Z, Fader P, Padmanabhan B. From business intelligence to competitive intelli gence: Inferring competitive measur es using augmented site-centric data. Information Systems Research. 2012;23(3-part-1):698-720.
Mishra AN, Agarwal R. Technological Frames, Organizational Capabilities, and IT Use: An Empirical Investigation of Electronic Procurement. Information Syste ms Research, 2010;21(2)249-270.
Baily P, Farmer D, Crocker B, Jessop D Jones D. Procurement principles and management, Pearson Education; 2008.
Davoood G. The Evaluation of Supplier Selection Criteria by Fuzzy DEMATEL Method. Journal of Basic and Applied Scientific Research. 2012;2(4):3214-3224.
Detcharat S. Using DEMATEL Method to Analyze the Causal Relations on Technological Innovation Capability Eval uation Factors in Thai Technology-Bas ed Firms. International Transaction Journ al of Engineering, Management, & Applied Sciences & Technologies. 2013; 4(2):81-103.
Nihan K. An Integrated Fuzzy DEMATEL and Intuitionistic Fuzzy TOPSIS Method to Evaluate Sustainable Suppliers. The Jou rnal of Operations Research, Statistics, Econometrics and Management Informati on Systems. 2020;8(2):201-226
Gabus A, Fontela E. The DEMATEL observer, DEMATEL report. Battelle Geneva Research Center, Geneva; 1976.
Lee YC, Li ML, Yen TM, Huang TH. Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model. Expert Syst Appl. 2010;37:1745–1754.
Yigit K, Ipek K, Muhittin S. Fuzzy DEMATEL-based green supply chain management performance: application in cement industry, Industrial Management & Data Systems; 2017.
Available:https://doi .org/10.1108/ IMDS-03-2017-0121
Kuo-Jui W, Ming-Lang T, Truong V. Eval uation the drivers of green supply chain management practices in uncertainty. Inter national Conference on Asia Pacific Busin ess Innovation & Techn ology Managem ent. Procedia-Social and Behavioral Scien ces. 2011;25:384- 397.
Govindan K, Khodaverdi R, Vafadarnikjoo A. Intuitionistic fuzzy based DEMATEL me thod for developing green practices and performances in a green supply chain. Ex pert Systems with Applications. 2015;42 (20):7207-7220.
Tsai SB, Chien MF, Xue Y, Li L, Jiang X, Chen Q, Wang L. Using the fuzzy DEMA TEL to determine environmental performa nce: A case of printed circuit board indust ry in Taiwan. PloS one. 2015;10(6):e0129 153.
Zadeh LA. Fuzzy sets as a basis for a the ory of possibility. Fuzzy sets and syst ems. 1978;1(1):3-28.
Opricovic S. A fuzzy compromise solution for multicriteria problems. International Jo urnal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2007;15(03): 363-380.
Yazdi M, Soltanali H. Knowledge acquis ition development in failure diagnos is analysis as an interactive approach. Intern ational Journal on Interac tive Design and Manufacturing (IJIDeM). 2019;13(1):193-210.
Lam HK. A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dep endent analysis. Engineering Applications of Artificial Intelligence. 2018;67:390- 408.
Thales BS, Carlos ESC, Fábio MG, Adauto LS, Walther AJ. An Overview of the Advanced Planning and Scheduling Syste ms. Independent Journal of Manag ement and Production. 2014;5(4): 1032- 1049.