Assessment of the Endorsers of E-Business Practices for Food Supply Chain Performance Systems
Pages 1 - 24
Abstract
Globalisation and changing lifestyle of the people has escalated the demand for the more product customisation, taste preferences and awareness about the usage of quality food commodities. Recent developments in the field of information technology and its integration with the business practices has emerged as a new term named ‘e-business’ (EB). Increasing consumer base of the food supply chains (FSC), has escalated the demand of technological and operation advancements by mediating ‘EB’ activities. Such, practices become extensively crucial when the world is suffering from the pandemic of COVID-19, leading to distressing of FSC linkages causing frequent market closures. To tackle the same presented work, explores the various endorsers (EDR) of the ‘EB’ in FSC, which are contemplated by hybrid combination of multi-criteria decision making techniques. Outcomes of the present work aids managers to formulate the decision policies and develop a robust framework in the direction to cling the ‘EB’ practices with FSC.
References
[1]
Alfian, G., Syafrudin, M., Farooq, U., Ma’arif, M. R., Syaekhoni, M. A., Fitriyani, N. L., Lee, J., & Rhee, J. (2020). Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model. Food Control, 110, 107016.
[2]
Ali, I., Nagalingam, S., & Gurd, B. (2017). Building resilience in SMEs of perishable product supply chains: Enablers, barriers and risks. Production Planning and Control, 28(15), 1236–1250.
[3]
Amoroso, D. L., & Ogawa, M. (2013). Comparing mobile and internet adoption factors of loyalty and satisfaction with online shopping consumers. International Journal of E-Business Research, 9(2), 24–45.
[4]
Annual reports MOFPI. (2018-19). Retrieved from https://mofpi.nic.in/sites/default/files/eng_mofpi_annual_report_2018-19.pdf
[5]
Aziz, M. N., & Maliha, S. R. (2020). Identifying different challenges of online business using document analysis. International Journal of Business Management and Social Research, 9(2), 523–527.
[6]
Balaji, M., & Arshinder, K. (2016). Modeling the causes of food wastage in Indian perishable food supply chain. Resources, Conservation and Recycling, 114, 153–167.
[7]
Bartikowski, B., & Singh, N. (2014). Doing E‐Business in France: Drivers of Online Trust in Business‐to‐Consumer Websites. Global Business and Organizational Excellence, 33(4), 28–36.
[8]
Baset, M., Chang, V., & Gamal, A. (2019). Evaluation of the green supply chain management practices: A novel neutrosophic approach. Computers in Industry, 108, 210-220. 10.1016/j.compind.2019.02.013
[9]
Batwa, A., & Norrman, A. (2020). A framework for exploring blockchain technology in supply chain management. Operations and Supply Chain Management: An International Journal, 13(3), 294–306.
[10]
Bi, R., Davison, R. M., & Smyrnios, K. X. (2017). E-business and fast growth SMEs. Small Business Economics, 48(3), 559–576.
[11]
Buyukozkan, G., & Goçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177.
[12]
Chandak, S., & Kumar, N. (2020). Development of a framework to improve supply chain performance through e-business and sustainability enablers. Management of Environmental Quality, 31(5), 1045–1070.
[13]
Chang, S. E., Chen, Y. C., & Lu, M. F. (2019). Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technological Forecasting and Social Change, 144, 1–11.
[14]
Chatzoglou, P., & Chatzoudes, D. (2016). Factors affecting e-business adoption in SMEs: An empirical research. Journal of Enterprise Information Management, 29(3), 327–358.
[15]
Chen, S., Brahma, S., Mackay, J., Cao, C., & Aliakbarian, B. (2020). The role of smart packaging system in food supply chain. Journal of Food Science, 85(3), 517–525. 32056210.
[16]
Chhetri, P., Hashemi, A., Lau, K.H., & Lim, M.K. (2021). Aligning supply chain complexity with product demand and design characteristics. International Journal of Logistics Research and Applications, 1-27. . 10.1080/13675567.2021.1885020
[17]
Chiang, C.T., Kou, T.C., & Koo, T.L. (2021). A Systematic Literature Review of the IT-Based Supply Chain Management System: Towards a Sustainable Supply Chain Management Model. Sustainability, 13(5), 25-47. . 10.3390/su13052547
[18]
Ciccullo, F., Cagliano, R., Bartezzaghi, G., & Perego, A. (2021). Implementing the circular economy paradigm in the agri-food supply chain: The role of food waste prevention technologies. Resources, Conservation and Recycling, 164, 105114.
[19]
Cullen, A. J., & Taylor, M. (2009). Critical success factors for B2B e‐commerce use within the UK NHS pharmaceutical supply chain. International Journal of Operations & Production Management, 29(11), 1156–1185.
[20]
Dabbene, F., Gay, P., & Tortia, C. (2014). Traceability issues in food supply chain management: A review. Biosystems Engineering, 120, 65–80.
[21]
Daya, M., Hassini, E., Bahroun, Z., & Banimfreg, B. H. (2020). The role of internet of things in food supply chain quality management: A review. The Quality Management Journal, 1–24.
[22]
Ekren, B. Y., Mangla, S. K., Turhanlar, E. E., Kazancoglu, Y., & Li, G. (2021). Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks. Computers & Operations Research, 130, 105237.
[23]
Fatorachian, H., & Kazemi, H. (2021). Impact of Industry 4.0 on supply chain performance. Production Planning and Control, 32(1), 63–81.
[24]
Food and Agriculture Organization of the United Nations (FAO). (2017a). State of Food Insecurity in the World 2015. Retrieved from: https://www.fao.org/hunger/en/
[25]
Füzesi, I., Lengyel, P., Szilágyi, R., Ráthonyi, G., Gruia, R., & Gaceu, L. (2016). Application of EDI technologies in the food supply chains. Journal of EcoAgroTourism, 121(32), 69–77.
[26]
Ganbold, O., Matsui, Y., & Rotaru, K. (2020). Effect of information technology-enabled supply chain integration on firm’s operational performance. Journal of Enterprise Information Management. Advance online publication.
[27]
Gao, S., Bao, J., Li, R., Liu, X., & Wu, C. (2021). Drivers and reduction solutions of food waste in the Chinese food service business. Sustainable Production and Consumption, 26, 78–88.
[28]
Gao, S., Xiao, H., Zhou, E., & Chen, W. (2017). Robust ranking and selection with optimal computing budget allocation. Automatica, 81, 30–36.
[29]
Ghadge, A., Kara, M. E., Moradlou, H., & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669–686.
[30]
Gharehgozli, A., Iakovou, E., Chang, Y., & Swaney, R. (2017). Trends in global E-food supply chain and implications for transport: Literature review and research directions. Research in Transportation Business & Management, 25, 2–14.
[31]
Ghosh, D. (2014). Food safety regulations in Australia and New Zealand food standards. Journal of the Science of Food and Agriculture, 94(10), 1970–1973. 24638225.
[32]
Hertel, T. W. (2016). Food security under climate change. Nature Climate Change, 6(1), 10–13.
[33]
Huo, D., Hung, K., Wang, H., & Xiaoli, X. (2018). Country of origin and online promotion in cross-border e-business: A study of consumer behavior for quality management. The International Trade Journal, 32(1), 140–149.
[34]
Imtiaz, S., Ali, S. H., & Kim, D. J. (2020). E-Commerce Growth in Pakistan: Privacy, Security, and Trust as Potential Issues. Culinary Science & Hospitality Research, 26(2), 10–18.
[35]
Isakson, S. R. (2014). Food and finance: The financial transformation of agro-food supply chains. The Journal of Peasant Studies, 41(5), 749–775.
[36]
Jing, X., Guanxin, Y., & Panqian, D. (2020). Quality Decision-Making Behavior of Bodies Participating in the Agri-Foods E-Supply Chain. Sustainability, 12(5), 1874.
[37]
Kafetzopoulos, D., & Skalkos, D. (2019). An audit of innovation drivers: Some empirical findings in Greek agri-food firms. European Journal of Innovation Management, 22(2), 361–382.
[38]
Kauremaa, J., Nurmilaakso, J. M., & Tanskanen, K. (2010). E-business enabled operational linkages: The role of RosettaNet in integrating the telecommunications supply chain. International Journal of Production Economics, 127(2), 343–357.
[39]
Kayikci, Y., Subramanian, N., Dora, M., & Bhatia, M. S. (2020). Food supply chain in the era of Industry 4.0: Blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology. Production Planning and Control, 1–21.
[40]
Khanna, V. R. (2020). Applications of Big Data Analytics: A Boon for the Food Industry. In Application of Big Data and Business Analytics (pp. 79–101). Emerald Publishing Limited.
[41]
Kirs, P., & Bagchi, K. (2012). The impact of trust and changes in trust: A national comparison of individual adoptions of information and communication technologies and related phenomenon. International Journal of Information Management, 32(5), 431–441.
[42]
Kittipanya-Ngam, P., & Tan, K. H. (2020). A framework for food supply chain digitalization: Lessons from Thailand. Production Planning and Control, 31(2-3), 158–172.
[43]
Kumar, A., Sikdar, P., & Alam, M. M. (2016). E-retail adoption in emerging markets: Applicability of an integrated trust and technology acceptance model. International Journal of E-Business Research, 12(3), 44–67.
[44]
Kumar, R., Agrawal, R., & Sharma, V. (2013). e-Applications in Indian agri-food supply chain: Relationship among enablers. Global Business Review, 14(4), 711–727.
[45]
Leat, P., Revoredo-Giha, C., & Lamprinopoulou, C. (2011). Scotland’s food and drink policy discussion: Sustainability issues in the food supply chain. Sustainability, 3(4), 605–631.
[46]
Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability, 11(11), 3141.
[47]
Lezoche, M., Hernandez, J. E., Díaz, M. D. M. E. A., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. Computers in Industry, 117, 103187.
[48]
Lin, L. M., & Hsia, T. L. (2011). Core capabilities for practitioners in achieving e-business innovation. Computers in Human Behavior, 27(5), 1884–1891.
[49]
Lu, Y., Papagiannidis, S., & Alamanos, E. (2021). Adding ‘things’ to the internet: Exploring the spillover effect of technology acceptance. Journal of Marketing Management, 37(7-8), 1–25.
[50]
Mahalik, N., & Kim, K. (2016). The role of information technology developments in food supply chain integration and monitoring. In Innovation and Future Trends in Food Manufacturing and Supply Chain Technologies (pp. 21–37). Woodhead Publishing.
[51]
Mahdi, I. M., Riley, M. J., Fereig, S. M., & Alex, A. P. (2002). A multi‐criteria approach to contractor selection. Engineering, Construction and Architectural Management, 9(1), 29-37.
[52]
Majid, I., Nayik, G. A., Dar, S. M., & Nanda, V. (2018). Novel food packaging technologies: Innovations and future prospective. Journal of the Saudi Society of Agricultural Sciences, 17(4), 454–462.
[53]
Mania, I., Delgado, A. M., Barone, C., & Parisi, S. (2018). Food packaging and the mandatory traceability in Europe. In Traceability in the Dairy Industry in Europe (pp. 129–139). Springer.
[54]
Marimuthu, M., Omar, A., Ramayah, T., & Mohamad, O. (2012). SMEs Performance: Leveraging Marketing Process Through E-Business. International Journal of E-Business Research, 8(2), 49–66.
[55]
Mkansi, M. (2021). E-business adoption costs and strategies for retail micro businesses. Electronic Commerce Research, 1–41.
[56]
Musa, A., Gunasekaran, A., & Yusuf, Y. (2014). Supply chain product visibility: Methods, systems and impacts. Expert Systems with Applications, 41(1), 176–194.
[57]
Nguyen, H. O. (2013). Critical factors in e-business adoption: Evidence from Australian transport and logistics companies. International Journal of Production Economics, 146(1), 300–312.
[58]
Nosratabadi, S., Mosavi, A., & Lakner, Z. (2020). Food supply chain and business model innovation. Foods, 9(2), 132. 32012751.
[59]
Pramatari, K. (2015). Information technology for food supply chains. Supply chain management for sustainable food networks, 183-203. . 10.1002/9781118937495.ch7
[60]
Ramasubramaniam, R. (2018). An Empirical Analysis of Customer Experience in E-Business Supply Chain. European Journal of Economics and Business Studies, 4(2), 153–165.
[61]
Ranganathan, C., Teo, T. S., & Dhaliwal, J. (2011). Web-enabled supply chain management: Key antecedents and performance impacts. International Journal of Information Management, 31(6), 533–545.
[62]
Raven, P. V., Huang, X., & Kim, B. B. (2007). E-Business in developing countries: A comparison of China and India. International Journal of E-Business Research, 3(1), 91–108.
[63]
RBI. (2020). Assessment of the progress of digitisation from cash to electronic. https://rbidocs.rbi.org.in/rdocs/Publications/PDFs/CASHB74203395BD64E2ABC1BD5F68D8AEF13.PDF
[64]
Rondović, B., Djuričković, T., & Kašćelan, L. (2019). Drivers of E-business diffusion in tourism: A decision tree approach. Journal of Theoretical and Applied Electronic Commerce Research, 14(1), 30–50.
[65]
Ruan, J., Hu, X., Huo, X., Shi, Y., Chan, F. T., Wang, X., Manogaran, G., Mastorakis, G., Mavromoustakis, C. X., & Zhao, X. (2019). An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues. Neural Computing & Applications, 1–16.
[66]
Ruan, J., Hu, X., Huo, X., Shi, Y., Chan, F. T., Wang, X., Manogaran, G., Mastorakis, G., Mavromoustakis, C. X., & Zhao, X. (2019). An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues. Neural Computing & Applications, 32(19), 15341–15356.
[67]
Salam, M. A. (2017). The mediating role of supply chain collaboration on the relationship between technology, trust and operational performance. Benchmarking, 24(2), 298–317.
[68]
Sanders, N. R. (2007). An empirical study of the impact of e-business technologies on organizational collaboration and performance. Journal of Operations Management, 25(6), 1332–1347.
[69]
Schmidhuber, J., & Tubiello, F. N. (2007). Global food security under climate change. Proceedings of the National Academy of Sciences of the United States of America, 104(50), 19703–19708. 18077404.
[70]
Shao, B., Cheng, Z., Wan, L., & Yue, J. (2021). The impact of cross border E-tailer’s return policy on consumer’s purchase intention. Journal of Retailing and Consumer Services, 59, 102367.
[71]
Sharma, J., Tyagi, M., & Bhardwaj, A. (2020). Parametric review of food supply chain performance implications under different aspects. Journal of Advances in Management Research, 17(3), 421–453.
[72]
Sharma, J., Tyagi, M., & Bhardwaj, A. (2021). Exploration of COVID-19 impact on the dimensions of food safety and security: A perspective of societal issues with relief measures. Journal of Agribusiness in Developing and Emerging Economies, 11(5), 452–471. Advance online publication.
[73]
Singh, R. K. (2014). Assessing effectiveness of coordination in food supply chain: A framework. International Journal of Information Systems and Supply Chain Management, 7(3), 104–117.
[74]
Sturiale, L., & Scuderi, A. (2016). The digital economy: New e-business strategies for food Italian system. International Journal of Electronic Marketing and Retailing, 7(4), 287–310.
[75]
Suhartanto, D., Ismail, T. A. T., Leo, G., Triyuni, N. N., & Suhaeni, T. (2020). Behavioral Intention Toward Online Food Purchasing: An Analysis at Different Purchase Levels. International Journal of E-Business Research, 16(4), 34–50.
[76]
Talib, M. S., Hamid, A. B. A., & Thoo, A. C. (2015). Critical success factors of supply chain management: A literature survey and Pareto analysis. EuroMed Journal of Business, 10(2), 234–263.
[77]
Terzi, N. (2016). The impact of e-commerce on international trade and employment. In Encyclopedia of E-Commerce Development, Implementation, and Management (pp. 2271-2287). IGI Global.
[78]
TRAI. (2020). The Indian Telecom Services Performance Indicators. https://www.trai.gov.in/sites/default/files/PIR_30062020.pdf
[79]
Tyagi, M., Kumar, D., & Kumar, P. (2015a). Assessing CSR practices for supply chain performance system using fuzzy DEMATEL approach. International Journal of Logistics Systems and Management, 22(1), 77-102. . 10.1504/IJLSM.2015.070900
[80]
Tyagi, M., Kumar, P., & Kumar, D. (2015b). Assessment of critical enablers for flexible supply chain performance measurement system using fuzzy DEMATEL approach. Global Journal of Flexible Systems Managment, 16(2), 115–132.
[81]
Tyagi, M., Kumar, P., & Kumar, D. (2018). Assessment of CSR based supply chain performance system using an integrated fuzzy AHP-TOPSIS approach. International Journal of Logistics Research and Applications, 21(4), 378–406.
[82]
Upadhyaya, P., Mohan, P., & Karantha, M. P. (2017). Determinants of B2B e-marketplace adoption: An empirical study of Indian small firms. International Journal of E-Business Research, 13(4), 55–69.
[83]
Varlese, M., Misso, R., Koliouska, C., & Andreopoulou, Z. (2020). Food, internet and neuromarketing in the context of well-being sustainability. International Journal of Technology Marketing, 14(3), 267–282.
[84]
Verma, P. (2020). The effect of presentation, product availability and ease upon transaction reliability for online food delivery aggregator applications–moderated mediated model. Journal of Foodservice Business Research, 23(4), 285–304.
[85]
Voldnes, G., Pleym, I. E., Ageeva, T., Alm, S., Nyrud, T., & Rosnes, J. T. (2021). E-commerce of Seafood–A Review of Existing Research. Journal of International Food & Agribusiness Marketing, 33(1), 3–35.
[86]
Wang, F., Ding, L., Yu, H., & Zhao, Y. (2019). Big data analytics on enterprise credit risk evaluation of e-Business platform. Information Systems and e-Business Management, 1–40.
[87]
Wang, Z., Yao, D. Q., & Yue, X. (2017). E-business system investment for fresh agricultural food industry in China. Annals of Operations Research, 257(1), 379–394.
[88]
Wiengarten, F., Humphreys, P., McKittrick, A., & Fynes, B. (2013). Investigating the impact of e‐business applications on supply chain collaboration in the German automotive industry. International Journal of Operations & Production Management, 33(1), 25–48.
[89]
Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016). Smart supply chain management: A review and implications for future research. International Journal of Logistics Management, 27(2), 395–417.
[90]
Yu, Y., Wang, X., Zhong, R. Y., & Huang, G. Q. (2017). E-commerce logistics in supply chain management. Industrial Management & Data Systems, 117(10), 2263–2286.
[91]
Zeng, M., & Lu, J. (2020). The impact of information technology capabilities on agri-food supply chain performance: The mediating effects of interorganizational relationships. Journal of Enterprise Information Management. Advance online publication.
[92]
Zeng, Y., Jia, F., Wan, L., & Guo, H. (2017). E-commerce in agri-food sector: a systematic literature review. International Food and Agribusiness Management Review, 20, 439-459.
[93]
Zhan, M., Gao, H., Liu, H., Peng, Y., Lu, D., & Zhu, H. (2020). Identifying market structure to monitor product competition using a consumer-behavior-based intelligence model. Asia Pacific Journal of Marketing and Logistics, 33(1), 99–123.
[94]
Zhang, C., Li, D., Kang, X., Song, D., Sangaiah, A. K., & Broumi, S. (2020). Neutrosophic fusion of rough set theory: An overview. Computers in Industry, 115, 103117.
[95]
Zhang, H. Y., Wang, J. Q., & Chen, X. H. (2014). Interval neutrosophic sets and their application in multicriteria decision making problems. TheScientificWorldJournal, 2014, 1–15. Advance online publication. 24695916.
[96]
Zhu, Z., Zhao, J., Tang, X., & Zhang, Y. (2015). Leveraging e-business process for business value: A layered structure perspective. Information & Management, 52(6), 679–691.
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- Assessment of the Endorsers of E-Business Practices for Food Supply Chain Performance Systems
Index terms have been assigned to the content through auto-classification.
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