The Moderating Role of Information Quality in The Relationship Between Operational Performance and Supply Chain Integration: Evidence from The Manufacturing Sector

Mohammad Kanan

doi:10.31181/dmame7120241276

Authors

Mohammad Kanan Department of Industrial Engineering, College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia

DOI:

https://doi.org/10.31181/dmame7120241276

Keywords:

Information quality, supplier integration, customer integration, operational performance

Abstract

In this study examined the moderating effect of information quality (InfoQ) in the relationship between supply chain integration (SCI) and operational effectiveness within the manufacturing sector. Respondents from selected manufacturing companies provided the study data, which were then analyzed using structural equation modeling, to ascertain the proposed relationships. Results affirmed a correlation between SCI (both supplier and customer integration) and operational effectiveness, denoting the ability of streamlined supply chains in increasing operational outcomes. This correlation is also influenced by InfoQ, which means that integrated supply chains require accurate information. Supply chain management can be understood better through the study findings. Also, the findings could facilitate managers in improving their operational performance through the use of SCI-based initiatives.

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References

[1] Abdelilah, B., El Korchi, A., & Amine Balambo, M. (2023). Agility as a combination of lean and supply chain integration: how to achieve a better performance. International Journal of Logistics Research and Applications, 26(6), 633-661. https://doi.org/10.1080/13675567.2021.1972949

[2] Abdulkareem, A. K., & Mohd Ramli, R. (2022). Does trust in e-government influence the performance of e-government? An integration of information system success model and public value theory. Transforming Government: People, Process and Policy, 16(1), 1-17. https://doi.org/10.1108/TG-01-2021-0001

[3] Al-Rawashdeh, O. M., Jawabreh, O., & Ali, B. (2023). Supply chain management and organizational performance: the moderating effect of supply chain complexity. Information Sciences Letters, 12(3), 1673-1684. http://dx.doi.org/10.18576/isl/120351

[4] Ali, B., Ali, Bakar, R., Ahmad, W., & Wan Omar, W. A. (2016). The Critical Success Factors Of Accounting Information System (Ais) And It's Impact On Organisational Performance Of Jordanian Commercial Banks. International Journal of Economics, Commerce and Management, IV, 658-677. https://www.researchgate.net/publication/303247147

[5] Amoako, T., Huai Sheng, Z., Dogbe, C. S. K., & Pomegbe, W. W. K. (2022). Effect of internal integration on SMEs’ performance: the role of external integration and ICT. International Journal of Productivity and Performance Management, 71(2), 643-665. https://doi.org/10.1108/IJPPM-03-2020-0120

[6] Ataseven, C., & Nair, A. (2017). Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature. International journal of production economics, 185, 252-265. https://doi.org/10.1016/j.ijpe.2017.01.007

[7] Bäckstrand, J., & Fredriksson, A. (2022). The role of supplier information availability for construction supply chain performance. Production planning & control, 33(9-10), 863-874. https://doi.org/10.1080/09537287.2020.1837933

[8] Chavez, R., Yu, W., Gimenez, C., Fynes, B., & Wiengarten, F. (2015). Customer integration and operational performance: The mediating role of information quality. Decision Support Systems, 80, 83-95. https://doi.org/10.1016/j.dss.2015.10.001

[9] Cui, L., Wu, H., Wu, L., Kumar, A., & Tan, K. H. (2023). Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19. Annals of Operations Research, 327(2), 825-853. https://doi.org/10.1007/s10479-022-04735-y

[10] Dong, T., Yin, S., & Zhang, N. (2023). The interaction mechanism and dynamic evolution of digital green innovation in the integrated green building supply chain. Systems, 11(3), 122. https://doi.org/10.3390/systems11030122

[11] Erboz, G., Yumurtacı Hüseyinoğlu, I. Ö., & Szegedi, Z. (2022). The partial mediating role of supply chain integration between Industry 4.0 and supply chain performance. Supply Chain Management: An International Journal, 27(4), 538-559. https://doi.org/10.1108/SCM-09-2020-0485

[12] Espino-Rodríguez, T. F., & Taha, M. G. (2022). Supplier innovativeness in supply chain integration and sustainable performance in the hotel industry. International Journal of Hospitality Management, 100, 103103. https://doi.org/10.1016/j.ijhm.2021.103103

[13] Feki, M. (2022). Effects of IS Quality on Firm Performance from the Perspective of a Business Executive: The Role of Business Strategy. International Journal of Technology and Human Interaction (IJTHI), 18(1), 1-17. https://doi.org/10.4018/IJTHI.303591

[14] Fernando, Y., Tseng, M.-L., Wahyuni-Td, I. S., de Sousa Jabbour, A. B. L., Chiappetta Jabbour, C. J., & Foropon, C. (2023). Cyber supply chain risk management and performance in industry 4.0 era: information system security practices in Malaysia. Journal of Industrial and Production Engineering, 40(2), 102-116. https://doi.org/10.1080/21681015.2022.2116495

[15] Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104

[16] Freije, I., de la Calle, A., & Ugarte, J. V. (2022). Role of supply chain integration in the product innovation capability of servitized manufacturing companies. Technovation, 118, 102216. https://doi.org/10.1016/j.technovation.2020.102216

[17] Gopal, P., Rana, N. P., Krishna, T. V., & Ramkumar, M. (2024). Impact of big data analytics on supply chain performance: an analysis of influencing factors. Annals of Operations Research, 333(2), 769-797. https://doi.org/10.1007/s10479-022-04749-6

[18] Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications. https://doi.org/10.1007/978-3-030-80519-7_1

[19] Harif, M. A. A. M., Nawaz, M., & Hameed, W. U. (2022). The role of open innovation, hotel service quality and marketing strategy in hotel business performance. Heliyon, 8(9). https://doi.org/10.1016/j.heliyon.2022.e10441

[20] He, P., He, Y., Tang, X., Ma, S., & Xu, H. (2022). Channel encroachment and logistics integration strategies in an e-commerce platform service supply chain. International journal of production economics, 244, 108368. https://doi.org/10.1016/j.ijpe.2021.108368

[21] Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

[22] Huda, M. (2024). Trust as a key element for quality communication and information management: insights into developing safe cyber-organisational sustainability. International Journal of Organizational Analysis, 32(8), 1539-1558. https://doi.org/10.1108/IJOA-12-2022-3532

[23] Islami, X. (2023). Lean manufacturing and firms’ financial performance: The role of strategic supplier partnership and information sharing. Benchmarking: An International Journal, 30(9), 2809-2831. https://doi.org/10.1108/BIJ-02-2022-0084

[24] Junaid, M., Zhang, Q., & Syed, M. W. (2022). Effects of sustainable supply chain integration on green innovation and firm performance. Sustainable Production and Consumption, 30, 145-157. https://doi.org/10.1016/j.spc.2021.11.031

[25] Kamble, S. S., Gunasekaran, A., Subramanian, N., Ghadge, A., Belhadi, A., & Venkatesh, M. (2023). Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industry. Annals of Operations Research, 327(1), 575-600. https://doi.org/10.1007/s10479-021-04129-6

[26] Kedi, W. E., Ejimuda, C., Idemudia, C., & Ijomah, T. I. (2024). AI Chatbot integration in SME marketing platforms: Improving customer interaction and service efficiency. International Journal of Management & Entrepreneurship Research, 6(7), 2332-2341. https://doi.org/10.51594/ijmer.v6i7.1327

[27] Khan, A., Talukder, M. S., Islam, Q. T., & Islam, A. N. (2024). The impact of business analytics capabilities on innovation, information quality, agility and firm performance: The moderating role of industry dynamism. VINE Journal of Information and Knowledge Management Systems, 54(5), 1124-1152. https://doi.org/10.1108/VJIKMS-01-2022-0027

[28] Kumar, A., Singh, R. K., & Modgil, S. (2023). Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry. The TQM Journal, 35(1), 24-50. https://doi.org/10.1108/TQM-06-2020-0146

[29] Lee, K. L., Wong, S. Y., Alzoubi, H. M., Al Kurdi, B., Alshurideh, M. T., & El Khatib, M. (2023). Adopting smart supply chain and smart technologies to improve operational performance in manufacturing industry. International Journal of Engineering Business Management, 15, 18479790231200614. https://doi.org/10.1177/18479790231200614

[30] Li, Y., Fang, J., Yuan, S., & Cai, Z. (2024). Disentangling the relationship between omnichannel integration and customer trust: a response surface analysis. Internet Research, 34(3), 1077-1103. https://doi.org/10.1108/INTR-03-2022-0222

[31] Lin, H.-F. (2022). IT resources and quality attributes: The impact on electronic green supply chain management implementation and performance. Technology in Society, 68, 101833. https://doi.org/10.1016/j.techsoc.2021.101833

[32] Malpani, R., Baral, M. M., Panigrahi, R. R., & Chittipaka, V. (2024). Unveiling the dynamic nexus between corporate social responsibility, innovations and financial performances in 21st-century Indian start-ups. International Journal of Organizational Analysis, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJOA-01-2024-4239

[33] Molinaro, M., Danese, P., Romano, P., & Swink, M. (2022). Implementing supplier integration practices to improve performance: The contingency effects of supply base concentration. Journal of Business Logistics, 43(4), 540-565. https://doi.org/10.1111/jbl.12316

[34] Nenavani, J., & Jain, R. K. (2022). Examining the impact of strategic supplier partnership, customer relationship and supply chain responsiveness on operational performance: the moderating effect of demand uncertainty. Journal of Business & Industrial Marketing, 37(5), 995-1011. https://doi.org/10.1108/JBIM-10-2020-0461

[35] Osei, M. B., Papadopoulos, T., Acquaye, A., & Stamati, T. (2023). Improving sustainable supply chain performance through organisational culture: A competing values framework approach. Journal of Purchasing and Supply Management, 29(2), 100821. https://doi.org/10.1016/j.pursup.2023.100821

[36] Oubrahim, I., Sefiani, N., & Happonen, A. (2023). The influence of digital transformation and supply chain integration on overall sustainable supply chain performance: An empirical analysis from manufacturing companies in Morocco. Energies, 16(2), 1004. https://doi.org/10.3390/en16021004

[37] Purwanto, A. (2022). The role of transformational leadership and organizational citizenship behavior on SMEs employee performance. Journal of Industrial Engineering & Management Research. https://ssrn.com/abstract=4073157

[38] Qu, K., & Liu, Z. (2022). Green innovations, supply chain integration and green information system: A model of moderation. Journal of Cleaner Production, 339, 130557. https://doi.org/10.1016/j.jclepro.2022.130557

[39] Rana, N. P., Chatterjee, S., Dwivedi, Y. K., & Akter, S. (2022). Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness. European Journal of Information Systems, 31(3), 364-387. https://doi.org/10.1080/0960085X.2021.1955628

[40] Rashid, A., Rasheed, R., Tanveer, U., Ishaq, S., & Amirah, N. A. (2024). Mediation of integrations in supply chain information management and supply chain performance: an empirical study from a developing economy. Journal of Science and Technology Policy Management(ahead-of-print). https://doi.org/10.1108/JSTPM-08-2023-0143

[41] Sharma, M., & Joshi, S. (2023). Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance. The TQM Journal, 35(1), 102-130. https://doi.org/10.1108/TQM-07-2020-0160

[42] Tan, C. L., Tei, Z., Yeo, S. F., Lai, K.-H., Kumar, A., & Chung, L. (2023). Nexus among blockchain visibility, supply chain integration and supply chain performance in the digital transformation era. Industrial Management & Data Systems, 123(1), 229-252. https://doi.org/10.1108/IMDS-12-2021-0784

[43] Wajdi, M., Barata, F., Syamil, A., Prasetyani, D., Tunjungsari, H., Aliyyah, I., Fatmawati, E., & Aseri, A. (2023). Exploring the role of supplier integration, customer integration on operational performance by mediating the SMEs supply chain flexibility. Uncertain Supply Chain Management, 11(4), 1851-1858. http://dx.doi.org/10.5267/j.uscm.2023.6.006

[44] Wang, J., & Feng, T. (2023). Supply chain ethical leadership and green supply chain integration: a moderated mediation analysis. International Journal of Logistics Research and Applications, 26(9), 1145-1171. https://doi.org/10.1080/13675567.2021.2022640

[45] Xu, J., Yu, Y., Wu, Y., Zhang, J. Z., Liu, Y., Cao, Y., & Eachempati, P. (2022). Green supply chain management for operational performance: anteceding impact of corporate social responsibility and moderating effects of relational capital. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-06-2021-0260