How to cite this paper
Sutthachaidee, W., Poojom, N., Zin, S., Techakhu, P & Jermsittiparsert, K. (2022). How supplier relationship management and manufacturing flow management practices affect the firm financial performance: The mediating role of competitive advantage.Uncertain Supply Chain Management, 10(3), 693-702.
Refrences
Abdi, A., Abdi, A., & Fathollahi, A. M. (2019). A set of calibrated metaheuristics to address a closed-loop supply chain network design problem under uncertainty. International Journal of Systems Science: Operations & Logistics, 1-18.
Akter, S., Fosso Wamba, S., & Dewan, S. (2017). Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality. Production Planning & Control, 28(11-12), 1011-1021.
Ansari, Z. N., & Kant, R. (2017). Exploring the framework development status for sustainability in supply chain management: A systematic literature synthesis and future research directions. Business Strategy and the Environment, 26(7), 873-892.
Ashok, M., Day, M., & Narula, R. (2018). Buyer (dis) satisfaction and process innovation: The case of information technology services provision. Industrial Marketing Management, 68, 132-144.
Azmi, I., Hamid, N. A., & Hussin, M. N. M. (2017). Logistics and supply chain management: The importance of integration for business processes. Journal of emerging economies and Islamic Research, 5(4), 73-80.
Barratt, M. (2016). Exploring supply chain relationships and information exchange in UK grocery supply chains: some preliminary findings. In Developments in Logistics and Supply Chain Management (pp. 181-188): Springer.
Basheer, Khan, S., Hassan, S. G., & Shah, M. H. (2018). The Corporate Governance and Interdependence of Investment and Financing Decisions of Non-Financial Firms in Pakistan. The Journal of Social Sciences Research, 316-323: 315.
Basheer, 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.
Bezuidenhout, C. (2016). Quantifying the degree of leanness and agility at any point within a supply chain. British Food Journal, 118(1), 60-69.
Cha, K.-J., & Kim, Y. S. (2018). Critical success factors for mutual collaboration with suppliers in IT outsourcing industry: a case study of a top IT outsourcing company in Korea. Enterprise Information Systems, 12(1), 76-95.
Chaghooshi, A. J., Arbatani, T. R., & Samadi, B. (2015). The effect of supply chain management processes on competitive advantage and organizational performance (case study: food industries based in west Azerbaijan province). Global Journal of Management Studies and Researches, 2(3), 152-157.
Glabiszewski, W., & Zastempowski, M. (2018). The absorptive capacity of a finance company as an efficiency factor of its pro-technology innovation activities. In Efficiency in Business and Economics (pp. 57-69): Springer.
Hair, Hult, G. T. M., & Ringle, C. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
Hair, Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.
Hatamifar, P., Darban, A., & Rezvani, M. R. (2018). Analyzing Quality of Supply Chain Management in Hotels of Isfahan Using the Partial Least Squares (PLS). Journal of Quality Assurance in Hospitality & Tourism, 19(2), 172-191.
Henseler, J. (2018). Partial least squares path modeling: Quo vadis? Quality & Quantity, 52(1), 1-8.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems.
Huang, S., Potter, A., & Eyers, D. (2020). Social media in operations and supply chain management: State-of-the-Art and research directions. International Journal of Production Research, 58(6), 1893-1925.
Kaur, S. P., Kumar, J., & Kumar, R. (2017). The relationship between flexibility of manufacturing system components, competitiveness of SMEs and business performance: A study of manufacturing SMEs in Northern India. Global Journal of Flexible Systems Management, 18(2), 123-137.
Khaliunaa, U., & Ramzani, S. R. (2019). SUPPLY CHAIN MANAGEMENT PRACTICES AND SUPPLY CHAIN PERFORMANCE OF APPAREL INDUSTRY OF CHINA IN THE PRESENCE OF EMERGING TECHNOLOGIES. SUPPLY CHAIN MANAGEMENT, 2(7).
Kim, J. J. (2017). Theoretical foundations underpinning supply chain management and supply chain level sustainable performance. International Journal of Tourism Sciences, 17(3), 213-229.
Klimkiewicz, K. (2017). The Role of ESG–Based Compensation in Sustaining the Supply Chain. Journal of Reverse Logistics, 3, 12-17.
Krægpøth, T., Stentoft, J., & Jensen, J. K. (2017). Dynamic supply chain design: a Delphi study of drivers and barriers. International Journal of Production Research, 55(22), 6846-6856.
Kulkarni, S. S., & Francas, D. (2018). Capacity investment and the value of operational flexibility in manufacturing systems with product blending. International Journal of Production Research, 56(10), 3563-3589.
Lee, Y., & Kang, D.-C. (2018). Empirical Study on the Determinants of Improving Open Innovation Performance: Based on New Product Development Collaboration with Suppliers. Journal of Korea Technology Innovation Society, 21(3), 1050-1076.
Mapalala, M. J., West, G. R., & Winston, B. (2018). Examining the Relationship Between Entrepreneurial Orientation and Organizational Performance: The Moderating Role of Organizational Learning. International Leadership Journal, 10(3).
Mikalef, P., & Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA. Journal of Business Research, 70, 1-16.
Naala, M., Nordin, N., & Omar, W. (2017). Innovation capability and firm performance relationship: A study of pls-structural equation modeling (Pls-Sem). International Journal of Organization & Business Excellence, 2(1), 39-50.
Ong, M. H. A., & Puteh, F. (2017). Quantitative Data Analysis: Choosing Between SPSS, PLS, and AMOS in Social Science Research. International Interdisciplinary Journal of Scientific Research, 3(1), 14-25.
Piriyawatthana, W., Phumdara, T., & Jermsittiparsert, K. (2020). Does the Social Capital Matters in Buyer-Supplier Relationships? A Thai Perspective. International Journal of Supply Chain Management, 9(1), 1-9.
Ramayah, T., Cheah, J., & Memon, M. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. In An Updated Guide and Practical Guide to Statistical Analysis: Pearson.
Schlüter, F., Hetterscheid, E., & Henke, M. (2019). A simulation-based evaluation approach for digitalization scenarios in smart supply chain risk management. Journal of Industrial Engineering and Management Science, 2019(1), 179-206.
Scholten, K., & Fynes, B. (2017). Risk and uncertainty management for sustainable supply chains. In Sustainable supply chains (pp. 413-436): Springer.
Shuhaiber, A. (2018). The role of perceived control, enjoyment, cost, sustainability and trust on intention to use smart meters: An empirical study using SEM-PLS. Paper presented at the World Conference on Information Systems and Technologies.
Silva, A. A., & FERREIRA, F. C. (2017). Uncertainty, flexibility and operational performance of companies: modelling from the perspective of managers. RAM. Revista de Administração Mackenzie, 18(4), 11-38.
Singh, & Prasad, T. (2018). Application of PLS-SEM in Modeling the Significance of Social Valuation in the Determination of Entrepreneurial Intention of Business Management Students. The IUP Journal of Entrepreneurship Development, 8(3).
Singh, A., & Trivedi, A. (2016). Sustainable green supply chain management: trends and current practices. Competitiveness Review.
Sriyakul, T., Umam, R., & Jermsittiparsert, K. (2019). Supplier Relationship Management, TQM Implementation, Leadership and Environmental Performance: Does Institutional Pressure Matter. International Journal of Innovation, Creativity and Change, 5(2), 211-227.
Tarasewicz, R. (2016). Integrated approach to supply chain performance measurement–results of the study on Polish market. Transportation Research Procedia, 14, 1433-1442.
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.
Tizroo, A., Esmaeili, A., & Khaksar, E. (2017). Proposing an agile strategy for a steel industry supply chain through the integration of balance scorecard and Interpretive Structural Modeling. Journal of Business Economics and Management, 18(2), 288-308.
Waiganjo, N., Nganga, Z., & Binepal, Y. (2016). Development and comparison of capture enzyme linked immunosorbent assay and indirect immunofluorescent test in determination of Nairobi sheep disease virus.
Williams, R. I., Pieper, T. M., & Kellermanns, F. W. (2019). Family business goal formation: a literature review and discussion of alternative algorithms. Management Review Quarterly, 69(3), 329-349.
Wu, L., Liu, H., & Zhang, J. (2017). Bricolage effects on new-product development speed and creativity: The moderating role of technological turbulence. Journal of Business Research, 70, 127-135.
Yeoman, R., & Santos, M. M. (2019). Global Value Chains, Reputation, and Social Cooperation', Global Aspects of Reputation and Strategic Management (Research in Global Strategic Management, Volume 18). In: Emerald Publishing Limited.
Zahra, M., Hameed, W. U., Fiaz, M., & Basheer, M. F. (2019). Information Technology Capability a Tool to Expedite Higher Organizational Performance. UCP Management Review (UCPMR), 3(1), 94-112.
Zhang, M., Pawar, K. S., & Bhardwaj, S. (2017). Improving supply chain social responsibility through supplier development. Production Planning & Control, 28(6-8), 500-511.
Akter, S., Fosso Wamba, S., & Dewan, S. (2017). Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality. Production Planning & Control, 28(11-12), 1011-1021.
Ansari, Z. N., & Kant, R. (2017). Exploring the framework development status for sustainability in supply chain management: A systematic literature synthesis and future research directions. Business Strategy and the Environment, 26(7), 873-892.
Ashok, M., Day, M., & Narula, R. (2018). Buyer (dis) satisfaction and process innovation: The case of information technology services provision. Industrial Marketing Management, 68, 132-144.
Azmi, I., Hamid, N. A., & Hussin, M. N. M. (2017). Logistics and supply chain management: The importance of integration for business processes. Journal of emerging economies and Islamic Research, 5(4), 73-80.
Barratt, M. (2016). Exploring supply chain relationships and information exchange in UK grocery supply chains: some preliminary findings. In Developments in Logistics and Supply Chain Management (pp. 181-188): Springer.
Basheer, Khan, S., Hassan, S. G., & Shah, M. H. (2018). The Corporate Governance and Interdependence of Investment and Financing Decisions of Non-Financial Firms in Pakistan. The Journal of Social Sciences Research, 316-323: 315.
Basheer, 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.
Bezuidenhout, C. (2016). Quantifying the degree of leanness and agility at any point within a supply chain. British Food Journal, 118(1), 60-69.
Cha, K.-J., & Kim, Y. S. (2018). Critical success factors for mutual collaboration with suppliers in IT outsourcing industry: a case study of a top IT outsourcing company in Korea. Enterprise Information Systems, 12(1), 76-95.
Chaghooshi, A. J., Arbatani, T. R., & Samadi, B. (2015). The effect of supply chain management processes on competitive advantage and organizational performance (case study: food industries based in west Azerbaijan province). Global Journal of Management Studies and Researches, 2(3), 152-157.
Glabiszewski, W., & Zastempowski, M. (2018). The absorptive capacity of a finance company as an efficiency factor of its pro-technology innovation activities. In Efficiency in Business and Economics (pp. 57-69): Springer.
Hair, Hult, G. T. M., & Ringle, C. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
Hair, Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.
Hatamifar, P., Darban, A., & Rezvani, M. R. (2018). Analyzing Quality of Supply Chain Management in Hotels of Isfahan Using the Partial Least Squares (PLS). Journal of Quality Assurance in Hospitality & Tourism, 19(2), 172-191.
Henseler, J. (2018). Partial least squares path modeling: Quo vadis? Quality & Quantity, 52(1), 1-8.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems.
Huang, S., Potter, A., & Eyers, D. (2020). Social media in operations and supply chain management: State-of-the-Art and research directions. International Journal of Production Research, 58(6), 1893-1925.
Kaur, S. P., Kumar, J., & Kumar, R. (2017). The relationship between flexibility of manufacturing system components, competitiveness of SMEs and business performance: A study of manufacturing SMEs in Northern India. Global Journal of Flexible Systems Management, 18(2), 123-137.
Khaliunaa, U., & Ramzani, S. R. (2019). SUPPLY CHAIN MANAGEMENT PRACTICES AND SUPPLY CHAIN PERFORMANCE OF APPAREL INDUSTRY OF CHINA IN THE PRESENCE OF EMERGING TECHNOLOGIES. SUPPLY CHAIN MANAGEMENT, 2(7).
Kim, J. J. (2017). Theoretical foundations underpinning supply chain management and supply chain level sustainable performance. International Journal of Tourism Sciences, 17(3), 213-229.
Klimkiewicz, K. (2017). The Role of ESG–Based Compensation in Sustaining the Supply Chain. Journal of Reverse Logistics, 3, 12-17.
Krægpøth, T., Stentoft, J., & Jensen, J. K. (2017). Dynamic supply chain design: a Delphi study of drivers and barriers. International Journal of Production Research, 55(22), 6846-6856.
Kulkarni, S. S., & Francas, D. (2018). Capacity investment and the value of operational flexibility in manufacturing systems with product blending. International Journal of Production Research, 56(10), 3563-3589.
Lee, Y., & Kang, D.-C. (2018). Empirical Study on the Determinants of Improving Open Innovation Performance: Based on New Product Development Collaboration with Suppliers. Journal of Korea Technology Innovation Society, 21(3), 1050-1076.
Mapalala, M. J., West, G. R., & Winston, B. (2018). Examining the Relationship Between Entrepreneurial Orientation and Organizational Performance: The Moderating Role of Organizational Learning. International Leadership Journal, 10(3).
Mikalef, P., & Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA. Journal of Business Research, 70, 1-16.
Naala, M., Nordin, N., & Omar, W. (2017). Innovation capability and firm performance relationship: A study of pls-structural equation modeling (Pls-Sem). International Journal of Organization & Business Excellence, 2(1), 39-50.
Ong, M. H. A., & Puteh, F. (2017). Quantitative Data Analysis: Choosing Between SPSS, PLS, and AMOS in Social Science Research. International Interdisciplinary Journal of Scientific Research, 3(1), 14-25.
Piriyawatthana, W., Phumdara, T., & Jermsittiparsert, K. (2020). Does the Social Capital Matters in Buyer-Supplier Relationships? A Thai Perspective. International Journal of Supply Chain Management, 9(1), 1-9.
Ramayah, T., Cheah, J., & Memon, M. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. In An Updated Guide and Practical Guide to Statistical Analysis: Pearson.
Schlüter, F., Hetterscheid, E., & Henke, M. (2019). A simulation-based evaluation approach for digitalization scenarios in smart supply chain risk management. Journal of Industrial Engineering and Management Science, 2019(1), 179-206.
Scholten, K., & Fynes, B. (2017). Risk and uncertainty management for sustainable supply chains. In Sustainable supply chains (pp. 413-436): Springer.
Shuhaiber, A. (2018). The role of perceived control, enjoyment, cost, sustainability and trust on intention to use smart meters: An empirical study using SEM-PLS. Paper presented at the World Conference on Information Systems and Technologies.
Silva, A. A., & FERREIRA, F. C. (2017). Uncertainty, flexibility and operational performance of companies: modelling from the perspective of managers. RAM. Revista de Administração Mackenzie, 18(4), 11-38.
Singh, & Prasad, T. (2018). Application of PLS-SEM in Modeling the Significance of Social Valuation in the Determination of Entrepreneurial Intention of Business Management Students. The IUP Journal of Entrepreneurship Development, 8(3).
Singh, A., & Trivedi, A. (2016). Sustainable green supply chain management: trends and current practices. Competitiveness Review.
Sriyakul, T., Umam, R., & Jermsittiparsert, K. (2019). Supplier Relationship Management, TQM Implementation, Leadership and Environmental Performance: Does Institutional Pressure Matter. International Journal of Innovation, Creativity and Change, 5(2), 211-227.
Tarasewicz, R. (2016). Integrated approach to supply chain performance measurement–results of the study on Polish market. Transportation Research Procedia, 14, 1433-1442.
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.
Tizroo, A., Esmaeili, A., & Khaksar, E. (2017). Proposing an agile strategy for a steel industry supply chain through the integration of balance scorecard and Interpretive Structural Modeling. Journal of Business Economics and Management, 18(2), 288-308.
Waiganjo, N., Nganga, Z., & Binepal, Y. (2016). Development and comparison of capture enzyme linked immunosorbent assay and indirect immunofluorescent test in determination of Nairobi sheep disease virus.
Williams, R. I., Pieper, T. M., & Kellermanns, F. W. (2019). Family business goal formation: a literature review and discussion of alternative algorithms. Management Review Quarterly, 69(3), 329-349.
Wu, L., Liu, H., & Zhang, J. (2017). Bricolage effects on new-product development speed and creativity: The moderating role of technological turbulence. Journal of Business Research, 70, 127-135.
Yeoman, R., & Santos, M. M. (2019). Global Value Chains, Reputation, and Social Cooperation', Global Aspects of Reputation and Strategic Management (Research in Global Strategic Management, Volume 18). In: Emerald Publishing Limited.
Zahra, M., Hameed, W. U., Fiaz, M., & Basheer, M. F. (2019). Information Technology Capability a Tool to Expedite Higher Organizational Performance. UCP Management Review (UCPMR), 3(1), 94-112.
Zhang, M., Pawar, K. S., & Bhardwaj, S. (2017). Improving supply chain social responsibility through supplier development. Production Planning & Control, 28(6-8), 500-511.