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2024 | 18 | nr 1 | 118--137
Tytuł artykułu

An Investigation of the Critical Factors That Influence Knowledge Mobilization Success in Agri-Food Supply Chains

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Agri-food supply chains (AFSCs) are essential for addressing global food security and promoting the United Nation's Sustainable Development Goal of reducing hunger. These chains stand out because they deal with perishable goods that have limited shelf life and are subjected to erratic agricultural situations, such as fluctuating weather. To preserve sustainability and competitiveness, innovative approaches such as cross-border knowledge mobilization are essential for effective AFSC management. To identify the elements essential to effective knowledge mobilization within AFSCs, this study explores the dynamics of this process. Eleven potential critical success factors (CSFs) are identified and analyzed by using questionnaire surveys to collect extensive data from AFSC practitioners. The results of a multiple regression analysis show that eight of the identified criteria are strongly correlated with knowledge mobilization success. Notably, two parameters show negative correlations, indicating intricate interactions in the dynamics of knowledge. The study's findings highlight the value of strategic knowledge management for increasing the efficacy and efficiency of AFSCs and advancing the larger objective of sustainable food security. This research advances the goal of eliminating world hunger by exposing the complex effects of these CSFs and offering practitioners and policymakers useful insights for enhancing AFSC operations. (original abstract)
Rocznik
Tom
18
Numer
Strony
118--137
Opis fizyczny
Twórcy
autor
  • University of Plymouth, UK
autor
  • University of Plymouth, UK
autor
  • Swansea University, United Kingdom
  • Loughborough University, Loughborough, Wielka Brytania
autor
  • Jimei University, Xiamen, China
Bibliografia
  • Accorsi, R., & Manzini, R. (2019). Sustainable food supply chains: planning, design, and control through interdisciplinary methodologies. Academic Press.
  • Amentae, T. K., Gebresenbet, G., & Ljungberg, D. (2018). Examining the interface between supply chain governance structure choice and supply chain performances of dairy chains in Ethiopia. International Food and Agribusiness Management Review, 21(1030-2019-606), 1061-1082. https://doi.org/10.22434/IFAMR2018.0001
  • Aramyan, L. H., Lansink, A. G. O., Van Der Vorst, J. G., & Van Kooten, O. (2007). Performance measurement in agri-food supply chains: A case study. Supply chain management: An international Journal, 12(4), 304-315. https://doi.org/10.1108/13598540710759826
  • Argote, L., & Miron-Spektor, E. (2011). Organizational learning: From experience to knowledge. Organization science, 22(5), 1123-1137. https://doi.org/10.1287/orsc.1100.0621
  • Benali, M., & Burlat, P. (2012). Modeling cooperation links within networks of firms: a case study. Journal of Intelligent Manufacturing, 23(6), 2451-2457. https://doi.org/10.1007/s10845-011-0511-y
  • Breite, R., & U. Koskinen, K. (2014). Supply chain as an autopoietic learning system. Supply Chain Management: An International Journal, 19(1), 10-16. https://doi.org/10.1108/SCM-06-2013-0176
  • Brunetto, Y., & Farr-Wharton, R. (2007). The moderating role of trust in SME owner/managers' decision-making about collaboration. Journal of Small Business Management, 45(3), 362-387.
  • Cai, S., Jun, M., & Yang, Z. (2010). Implementing supply chain information integration in China: The role of institutional forces and trust. Journal of Operations Management, 28(3), 257-268. https://doi.org/10.1016/j.jom.2009.11.005
  • Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180. https://doi.org/10.1016/j.jom.2010.12.008
  • Cerchione, R., & Esposito, E. (2016). A systematic review of supply chain knowledge management research: State of the art and research opportunities. International Journal of Production Economics, 182, 276-292. https://doi.org/10.1016/j.ijpe.2016.09.006
  • Chen, H. (2022). A knowledge mobilisation framework for lean supply chains in agri-food industry [Doctoral dissertation, University of Plymouth]. http://dx.doi.org/10.24382/433
  • Chen, H., Liu, S., Zhao, G., Oderanti, F., Guyon, C., & Boshkoska, B. M. (2018). Identifying knowledge brokers, artefacts and channels for waste reduction in agri-food supply chains. International Journal of Sustainable Agricultural Management and Informatics, 4(3-4), 273-289. https://doi.org/10.1504/IJSAMI.2018.099238
  • Dobson, P., Waterson, M., & Chu, A. (1998). The welfare consequences of the exercise of buyer power. Office of Fair Trading.
  • Easterby-Smith, M., Thorpe, R., & Jackson, P. R. (2012). Management research. Sage.
  • Ganesh Kumar, C., Murugaiyan, P., & Madanmohan, G. (2017). Agri-food supply chain management: Literature review. Intelligent Information Management, 9, 68-96. https://dx.doi.org/10.2139/ssrn.3093241
  • Haji, M., Kerbache, L., Muhammad, M., & Al-Ansari, T. (2020). Roles of technology in improving perishable food supply chains. Logistics, 4(4), 33. https://doi.org/10.3390/logistics4040033
  • Hudnurkar, M., Jakhar, S., & Rathod, U. (2014). Factors affecting collaboration in supply chain: A literature review. Procedia-Social and Behavioral Sciences, 133, 189-202. https://doi.org/10.1016/j.sbspro.2014.04.184
  • Inkpen, A. C., & Tsang, E. W. (2016). Reflections on the 2015 decade award-social capital, networks, and knowledge transfer: An emergent stream of research. https://doi.org/10.5465/amr.2016.0140
  • Jayawickrama, U., Liu, S., & Smith, M. H. (2016). Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries. Computers in Industry, 82, 205-223. https://doi.org/10.1016/j.compind.2016.07.005
  • Jie, F., & Gengatharen, D. (2019). Australian food retail supply chain analysis. Business Process Management Journal, 25(2), 271-287. https://doi.org/10.1108/BPMJ-03-2017-0065
  • Kebebe, E. (2019). Bridging technology adoption gaps in livestock sector in Ethiopia: A innovation system perspective. Technology in Society, 57, 30-37. https://doi.org/10.1016/j.tech-soc.2018.12.002
  • Kumar, A., Mangla, S. K., & Kumar, P. (2022). An integrated literature review on sustainable food supply chains: Exploring research themes and future directions. Science of The Total Environment, 153411. https://doi.org/10.1016/j.scitotenv.2022.153411
  • Kumar, S. (2014). A knowledge based reliability engineering approach to manage product safety and recalls. Expert Systems with Applications, 41(11), 5323-5339. https://doi.org/10.1016/j.eswa.2014.03.007
  • Liguori, J., Trübswasser, U., Pradeilles, R., Le Port, A., Landais, E., Talsma, E. F., Lundy, M., Béné, C., Bricas, N., Laar, A., Amiot, M. J., Brouwer, I. D., & Holdsworth, M. (2022). How do food safety concerns affect consumer behaviors and diets in low-and middle-income countries? A systematic review. Global Food Security, 32, 100606. https://doi.org/10.1016/j.gfs.2021.100606
  • Liu, S. (2020). Knowledge management: an interdisciplinary approach for business decisions. Kogan Page Publishers.
  • Liu, S., Zhao, G., Chen, H., Fernández, A., Torres, D., Antonelli, L., Panetto, H., & Lezoche, M. (2019, June). Knowledge mobilization crossing boundaries: a multi-perspective framework for agri-food value chains. In VI International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain Model-IT 1311 (pp. 185-200). https://doi.org/10.17660/ActaHortic.2021.1311.24
  • Lubell, M., Niles, M., & Hoffman, M. (2014). Extension 3.0: Managing agricultural knowledge systems in the network age. Society & Natural Resources, 27(10), 1089-1103. https://doi.org/10.1080/08941920.2014.933496
  • Lyu, H., & Zhang, Z. (2017). Incentives for knowledge sharing: Impact of organizational culture and information technology. Enterprise Information Systems, 11(9), 1416-1435. https://doi.org/10.1080/17517575.2016.1273393
  • Marques, L. (2019). Sustainable supply network management: A systematic literature review from a knowledge perspective. International Journal of Productivity and Performance Management, 68(6), 1164-1190. https://doi.org/10.1108/IJPPM-12-2017-0329
  • Maskey, R., Fei, J., & Nguyen, H. O. (2020). Critical factors affecting information sharing in supply chains. Production Planning & Control, 31(7), 557-574.
  • Massaro, M., Handley, K., Bagnoli, C., & Dumay, J. (2016). Knowledge management in small and medium enterprises: A structured literature review. Journal of Knowledge Management, 20(2), 258-291. https://doi.org/10.1108/JKM-08-2015-0320
  • Mau, P., Eyzaguirre, J., Jaccard, M., Collins-Dodd, C., & Tiedemann, K. (2008). The 'neighbor effect': Simulating dynamics in consumer preferences for new vehicle technologies. Ecological Economics, 68(1-2), 504-516. https://doi.org/10.1016/j.ecolecon.2008.05.007
  • Mena, C., Adenso-Diaz, B., & Yurt, O. (2011). The causes of food waste in the supplier-retailer interface: Evidences from the UK and Spain. Resources, Conservation and Recycling, 55(6), 648-658. https://doi.org/10.1016/j.resconrec.2010.09.006
  • Mileva Boshkoska, B., Liu, S., & Chen, H. (2018). Towards a knowledge management framework for crossing knowledge boundaries in agricultural value chain. Journal of Decision Systems, 27(sup1), 88-97. https://doi.org/10.1080/12460125.2018.1468173
  • Nagehan, U. C. A., Çemberci, M., Civelek, M. E., & Yilmaz, H. (2017). The effect of trust in supply chain on the firm performance through supply chain collaboration and collaborative advantage. Yönetim Bilimleri Dergisi, 15(30), 215-230.
  • Olan, F., Liu, S., Neaga, I., Chen, H., & Nakpodia, F. (2019). How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach. Journal of Business Research, 94, 313-319. https://doi.org/10.1016/j.jbusres.2018.02.027
  • Pagell, M., & Wu, Z. (2009). Building a more complete theory of sustainable supply chain management using case studies of 10 exemplars. Journal of supply chain management, 45(2), 37-56. https://doi.org/10.1111/j.1745-493X.2009.03162.x
  • Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
  • Pathak, S. D., Wu, Z., & Johnston, D. (2014). Toward a structural view of co-opetition in supply networks. Journal of Operations Management, 32(5), 254-267. https://doi.org/10.1016/j.jom.2014.04.001
  • Patton, M., Feng, S., MacAntsaoir, S., Devlin, D., Farrell, D., Farmer, L., & Bansback, B. (2023). Evolution of agri-food supply chains to enhance competitiveness: Literature review . https://www.afbini.gov.uk/sites/afbini.gov.uk/files/publications/Literature Review of Supply Chains in NI_0.pdf
  • Phelps, C., Heidl, R., & Wadhwa, A. (2012). Knowledge, networks, and knowledge networks: A review and research agenda. Journal of management, 38(4), 1115-1166. https://doi.org/10.1177/014920631143264
  • SalmaAhmed, A. (2012). Building supply chain collaboration: different collaborative approaches. Integral Review, 5(1), 8-21.
  • Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Pearson education.
  • Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471-484. https://doi.org/10.1108/SCM-11-2014-0386
  • Serazetdinova, L., Garratt, J., Baylis, A., Stergiadis, S., Collison, M., & Davis, S. (2019). How should we turn data into decisions in AgriFood? Journal of the Science of Food and Agriculture, 99(7), 3213-3219. https://doi.org/10.1002/jsfa.9545
  • Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471-484. https://doi.org/10.1108/SCM-11-2014-0386
  • Slack, N. and Brandon-Jones, A. (2019) Operations Management (9th Edition), Pearson.
  • Song, M., Yang, M. X., Zeng, K. J., & Feng, W. (2020). Green knowledge sharing, stakeholder pressure, absorptive capacity, and green innovation: Evidence from Chinese manufacturing firms. Business Strategy and the Environment, 29(3), 1517-1531. https://doi.org/10.1002/bse.2450
  • Stone, J., & Rahimifard, S. (2018). Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework. Supply Chain Management: An International Journal, 23(3), 207-238.
  • Sullivan, J. J., & Nonaka, I. (1986). The application of organizational learning theory to Japanese and American management. Journal of International Business Studies, 17, 127-147. https://doi.org/10.1057/palgrave.jibs.8490805
  • Taylor, D. H., & Fearne, A. (2006). Towards a framework for improvement in the management of demand in agri-food supply chains. Supply Chain Management: An International Journal, 11(5), 379-384. https://doi.org/10.1108/13598540610682381
  • Taylor, D. H., & Fearne, A. (2009). Demand management in fresh food value chains: a framework for analysis and improvement. Supply Chain Management: An International Journal, 14(5), 379-392. https://doi.org/10.1108/13598540910980297
  • Touboulic, A., Chicksand, D., & Walker, H. (2014). Managing imbalanced supply chain relationships for sustainability: A power perspective. Decision Sciences, 45(4), 577-619. https://doi.org/10.1111/deci.12087
  • Vu, T. T., & Trinh, H. H. H. (2021). Blockchain technology for sustainable supply chains of agri-food in Vietnam: a SWOT analysis. VNUHCM Journal of Economics, Business and Law, 5(1), 1278-1289. https://doi.org/10.32508/stdjelm.v5i1.675
  • Walker, H., Schotanus, F., Bakker, E., & Harland, C. (2013). Collaborative procurement: a relational view of buyer-buyer relationships. Public administration review, 73(4), 588-598. https://doi.org/10.1111/puar.12048
  • Wolfert, J., Verdouw, C. N., Verloop, C. M., & Beulens, A. J. M. (2010). Organizing information integration in agri-food-A method based on a service-oriented architecture and living lab approach. Computers and electronics in agriculture, 70(2), 389-405. https://doi.org/10.1016/j.compag.2009.07.015
  • Yuanita, Handayati, Y., Simatupang, T. M., & Perdana, T. (2015). Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Research, 8, 1-15. https://doi.org/10.1007/s12159-015-0125-4
  • Zhao, G., Chen, H., Liu, S., Dennehy, D., Jones, P., & Lopez, C. (2023). Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach. Journal of Business Research, 164, 114006. https://doi.org/10.1016/j.jbusres.2023.114006
  • Zhao, G., Liu, S., Chen, H., Elguetaa, S., Manzura, J. P., & Lopez, C. (2021). ICDSST 2020 on Cognitive Decision Support Systems & Technologies Knowledge mobilization crossing boundaries for decision support: Insights from agri-food supply chains of Chile. Cognitive Decision Support Systems & Technologies, 137.
  • Zhao, G., Liu, S., Elgueta, S., Manzur, J. P., Lopez, C., & Chen, H. (2022). Knowledge Mobilization for Agri-Food Supply Chain Decisions: Identification of Knowledge Boundaries and Categorization of Boundary-Spanning Mechanisms. International Journal of Decision Support System Technology (IJDSST), 15(2), 1-25. https://doi.org/10.4018/IJDSST.315640
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171687032

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