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http://dx.doi.org/10.13106/jafeb.2020.vol7.no1.229

The Information System Management and Its Infrastructure for Supply Chain Management as Antecedents of Financial Performance  

MUNEER, Saqib (Department of Economics and Finance, College of Business Administration, University of Hail)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.1, 2020 , pp. 229-238 More about this Journal
Abstract
A model is presented in this paper to provide understanding of the supply chain integration and supply chain information practices' impact on the manufacturing industries. The supply chain information practices play a crucial role in sharing information between the members of SC network. Thus, it is important to develop a comprehensive understanding of the differences and similarities among ISI and information management. It will allow firms to systematically evaluate and carefully choose the information strategy. The empirical findings of this research offer essential and interesting insights about what role SCI, supply chain information and Supply chain ISI play in determining Malaysia's financial performance. The theoretical gaps addressed in this study are of significant importance, since a little empirical evidence is available regarding system infrastructure and supply chain information management's effectiveness. This research provides further paths of exploring system infrastructure and information management, thereby defining the manufacturing industries' next step in SCM struggle i.e. modifying total integrated SC principle in other manufacturing firms. The Resource-based theory discovered organizational resources as an essential organizational success ingredient. Therefore, in order to recognize its potential value, internal resources, for instance, information system and management must be fully utilized.
Keywords
Information System; Supply Chain; Financial Performance; Integration; Infrastructure;
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1 Banerjee, M., & Mishra, M. (2017). Retail supply chain management practices in India: A business intelligence perspective. Journal of Retailing and Consumer Services, 34, 248-259.   DOI
2 Basheer, M. F., Hafeez, M. H., Hassan, S. G., & Haroon, U. (2018). Exploring the role of TQM and supply chain practices for firm supply performance in the presence of organizational learning capabilities: A case of textile firms in Pakistan. Paradigms, 12(2), 172-178.
3 Fuchs, C., & Otto, A. (2015). Value of IT in supply chain planning. Journal of Enterprise Information Management, 28(1), 77-92.   DOI
4 Gorane, S., & Kant, R. (2017). Supply chain practices and organizational performance: An empirical investigation of Indian manufacturing organizations. The International Journal of Logistics Management, 28(1), 75-101.   DOI
5 Govindana, K., & Soleimanib, H. (2017). A review of reverse logistics and closed-loop supply chains: A Journal of Cleaner Production focus', Journal of Cleaner Production, 142(1), 371-384.   DOI
6 Hafeez, M. H., Basheer, M. F., Rafique, M., & Siddiqui, S. H. (2018). Exploring the links between TQM practices, business innovativeness and firm performance: An emerging market perspective. Pakistan Journal of Social Sciences, 38(2). Available at: https://www.bzu.edu.pk/PJSS/Vol.%2038,%20No.%202,%202018/PJSS-Vol38-No2-11.pdf
7 Hair Jr., J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). (2nd ed.). Thousand Oaks, CA: Sage Publications.
8 Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., & Thiele, K. O. (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616-632.   DOI
9 Hair Jr., J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.   DOI
10 Kembro, J., Naslund, D., & Olhager, J. (2017). Information sharing across multiple supply chain tiers: A Delphi study on antecedents. International Journal of Production Economics, 193, 77-86.   DOI
11 Lu, M., Xie, R., Chen, P., Zou, Y. & Tang, J. (2019). Green transportation and logistics performance: An improved composite index. Sustaiability, 11(2976), 1-17.
12 Castano, M. S., Mendez, M. T., & Galindo, M.-A . (2016). Innovation, internationalization and business-growth expectations among entrepreneurs in the services sector. Journal of Business Research, 69(5), 1690-1695.   DOI
13 Salmela, E., & Huiskonen, J. (2019). Co-innovation toolbox for demand-supply chain synchronisation. International Journal of Operations & Production Management, 39(4), 573-593.   DOI
14 Sigalas, C., & Papadakis, V. M. (2018). Empirical investigation of relationship patterns between competitive advantage and superior performance. Journal of Strategy and Management, 11(1), 81-111.   DOI
15 Sundram, V., Chandran, V., Atikah, S., Rohani, M., Nazura, M., Akmal, A., & Krishnasamy, T. (2016). Research methodology: Tools, methods and techniques. MLSCA, Selangor, Malaysia.
16 Wei, X., Gao, B., Wang, P., Zhou, H., & Lu, J. (2015). Pollution characteristics and health risk assessment of heavy metals in street dusts from different functional areas in Beijing, China. Ecotoxicology and Environmental Safety, 112, 186-192.   DOI
17 Yu, Y., Xiong, W., & Cao, Y. (2015). A conceptual model of supply chain risk mitigation: The role of supply chain integration and organizational risk propensity. Journal of Coastal Research, 73(sp1), 95-99.   DOI
18 Basheer, M., Siam, M., Awn, A., & Hassan, S. (2019). Exploring the role of TQM and supply chain practices for firm supply performance in the presence of information technology capabilities and supply chain technology adoption: A case of textile firms in Pakistan. Uncertain Supply Chain Management, 7(2), 275-288.   DOI
19 Bendoly, E., & Chao, R. O. (2016). How excessive stage time reduction in NPD negatively impacts market value. Production and Operations Management, 25(5), 812-832.   DOI
20 Ceric, A. (2016). Analysis of interactions between IT and organisational resources in a manufacturing organisation using cross-impact analysis. Journal of Enterprise Information Management, 29(4), 589-611.   DOI
21 Darley, W. K., & Luethge, D. J. (2019). Service value and retention: Does gender matter? Journal of Retailing and Consumer Services, 48, 178-185.   DOI
22 Davcik, N. S., & Sharma, P. (2016). Marketing resources, performance, and competitive advantage: A review and future research directions. Journal of Business Research, 69(12), 5547-5552.   DOI
23 Jaafar, M., Noor, S. M., & Rasoolimanesh, S. M. (2015). Perception of young local residents toward sustainable conservation programmes: A case study of the Lenggong World Cultural Heritage Site. Tourism Management, 48, 154-163.   DOI
24 Amaro, S., & Duarte, P. (2016). Modelling formative second order constructs in PLS. The 15th European Conference on Research Methodology for Business and Management Studies. Kingston Business School, Kingston University London, UK.
25 Andoh-Baidoo, F. K. (2016). Organizational information and communication technologies for development. Information Technology for Development, 22(2), 193-204.   DOI
26 Bahrin, A. S., Abdul Munir, Z. B., & Zolait, A. H. (2018). The effect of supply chain information management and information system infrastructure: The mediating role of supply chain integration towards manufacturing performance in Malaysia. Journal of Enterprise Information Management, 31(5), 751-770.   DOI
27 Dikko, M. (2016). Establishing construct validity and reliability: Pilot testing of a qualitative interview for research in Takaful (Islamic insurance). The Qualitative Report, 21(3), 521-528.
28 Hameed, W. U., Basheer, M. F., Iqbal, J., Anwar, A., & Ahmad, H. K. (2018). Determinants of firm's open innovation performance and the role of R & D department: An empirical evidence from Malaysian SME's. Journal of Global Entrepreneurship Research, 8(1), Article number: 29(2018). Available at: https://journaljger.springeropen.com/articles/10.1186/s40497-018-0112-8
29 Hameed, W. U., Nawaz, M., Basheer, M. F., & Waseem, M. (2019). The Effect of Amanah Ikhtiar Malaysia (AIM) on microenterprise success in Sabah State Malaysia. Dialogue (1819-6462), 14(2). Available at: http://www.qurtuba.edu.pk/thedialogue/The%20Dialogue/14_2/19-Waseem.pdf
30 Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variancebased structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.   DOI
31 Jagani, S., Wallace, S., & Kunnathur, A. (2016). A research framework for business sustainability using information exchange: A firm centric perspective. Twenty-second Americas Conference on Information Systems, San Diego, 2016. Available at: https://pdfs.semanticscholar.org/7e92/2bcb16b0569b2b6708d0e2cd8c69215b3acc.pdf
32 Ramanathan, U., Subramanian, N., & Gunasekaran, A. (2018). Closed-loop supply chain collaboration: A study of the packaging industry. BAM2018: British Academy of Management Conference, Bristol Business School, University of the West of England, Bristol, 4-6 September 2018
33 Messina, D., Barros, A. C., & Lucas, A. (2018). How much visibility has a company over its supply chain? A diagnostic metric to assess supply chain visibility. 22nd Cambridge International Manufacturing Symposium. University of Cambridge, Cambridge, England https://doi.org/10.17863/CAM.31715
34 Mukiibi, H. Y. (2018). Improving supply-chain information flow: A case study of Uganda Health Marketing Group (UHMG). Master Research Report, Makerere University, Kampala, Uganda
35 Paul, J., Parthasarathy, S., & Gupta, P. (2017). Exporting challenges of SMEs: A review and future research agenda. Journal of World Business, 52(3), 327-342.   DOI
36 Reiss, C. W., Xiong, Y., & Strobel, S. A. (2017). Structural basis for ligand binding to the guanidine-I riboswitch. Structure, 25(1), 195-202.   DOI
37 Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bonningstedt: SmartPLS.
38 Walker, D. H. (2016). Reflecting on 10 years of focus on innovation, organisational learning and knowledge management literature in a construction project management context. Construction Innovation, 16(2), 114-126.   DOI
39 Thatte, A., & Agrawal, V. (2017). Exploring supply chain responsiveness effects on competitive advantage of a firm. Quarterly Review of Business Disciplines, 4(3), 211-228.
40 Tzempelikos, N., & Gounaris, S. (2017). A conceptual and empirical examination of key account management orientation and its implications-the role of trust The Customer is NOT Always Right? Developments in Marketing Science: Proceedings of the Academy of Marketing Science: Springer, Cham
41 Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-f., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.   DOI