Causal relationship between supply chain dynamic capabilities, technological innovation, and operational performance

• Autorzy: Ki-Jung Ju , Byeonghwa Park , Taikyoo Kim
• Języki publikacji: EN

Abstrakty

EN

The aim of this study is to empirically examine the impact of supply chain dynamic capabilities on operational performance, and the mediating effect of technological innovation between dynamic capabilities and operational performance. This study is based on empirical data collected from a survey of 206 small- and medium-size firms in Korea. Structural equation modeling is used to test the research questions. The results show that supply chain dynamic capabilities positively influence technological innovation and operational performance of an enterprise. Additionally, structural equation analyses reveal that technological innovation plays a role as a partial mediator of the relationship between supply chain dynamic capabilities and operational performance. In a dynamic and ever-changing environment, the enforcement of dynamic capabilities in a sustainable supply chain is important for the innovation of technology and the improvement of operational performance. Further investigation is required to understand the differences by industries, characteristics of enterprises, and positions in a supply chain. (original abstract)

Słowa kluczowe

EN

Supply chain; Technical innovations; Small business; Sustainable supply chain

PL

Łańcuch dostaw; Innowacje techniczne; Małe i średnie przedsiębiorstwa; Zrównoważony łańcuch dostaw

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2016
• Tom: 7
• Numer: nr 4
• Strony: 6--15

Twórcy

autor

Ki-Jung Ju

• Technical Commercialization Team Regional Industry Promotion Agency, Daegu Technopark, Korea

autor

Byeonghwa Park

• Hannam University, Korea

autor

Taikyoo Kim

• Hannam University, Korea

Bibliografia

• Ambrosini V., Bowman C., What are dynamic capabilities and are they a useful construct in strategic management?, International Journal of Management Reviews, 11, 1, 29-49, 2009.
• Eisenhardt K.M., Martin J.A., Dynamic capabilities: What are they, Strategic Management Journal, 21, 10-11, 1106-1121, 2000.
• Teece D.J., Pisano G., Shuen A., Dynamic capabilities and strategic management, Strategic Management Journal, 18, 7, 509-533, 1997.
• Teece D.J., Explicating dynamic capabilities: The nature and micro-foundations of (sustainable) enterprise performance, Strategic Management Journal, 28, 8, 1319-1350, 2007.
• Barney J.B., Strategic factor markets: Expectations, luck, and business strategy, Management Science, 32, 10, 1231-1241, 1986.
• Barney J., Firm resources and sustained competitive advantage, Journal of Management, 17, 1, 99-120, 1991.
• Coyne K.P., Hall S.J.D., Clifford P.G., Is your core competence a mirage?, The Mckinsey Quarterly, 2, 40-54, 1997.
• Prahalad C.K., Hamel G., The core competence of the organization, Harvard Business Review, MayJune, 79-93, 1990.
• Mentzer J.T., DeWitt W., Keebler J.S., Min S., Nix N.W., Smith C.D., Zacharia Z.G., Defining supply chain management, Journal of Business Logistics, 22, 2, 1-25, 2001.
• Kaynak H., Hartley J.L., A replication and extension of quality management into the supply chain, Journal of Operations Management, 26, 4, 468-489, 2008.
• Kristal M.M., Huang X., Roth A.V., The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance, Journal of Operations Management, 28, 5, 145-429, 2010.
• Wang E.T.C., Tai J.C.F., Wei H., A virtual integration theory of improved supply-chain performance, Journal of Management Information Systems, 23, 2, 41-64, 2006.
• Narasimhan R., Talluri S., Das A., Exploring flexibility and execution competencies of manufacturing firms, Journal of Operations Management, 22, 1, 91-106, 2004.
• Stevenson M., Spring M., Flexibility from a supply chain perspective: definition and review, International Journal of Operations & Production Management, 27, 7, 685-713, 2007.
• Liao S., Wu C., Hu D., Tsui K., Relationships between knowledge acquisition, absorptive capacity and innovation capability: An empirical study on Taiwan's financial and manufacturing industries, Journal of Information Science, 36, 1, 19-35, 2010.
• Siqueira A., Cosh A., Effects of production innovation and organizational capabilities on competitive advantage: Evidence from UK small and medium manufacturing enterprises, International Journal of Innovation Management, 12, 2, 113-137, 2008.
• Timilsina B., Forsen N., Takala J., Malek N.A.A., Which one to choose multi focus or tradeoff among competitive priorities? Evidence from Finnish SMEs, Management and Production Engineering Review, 7, 1, 77-88, 2016.
• Hubbard R., Vetter D.E., Little E.D., Replication in strategic management: scientific testing for validity, generalizability, and usefulness, Strategic Management Journal, 19, 3, 243-254, 1998.
• Miguel P.L.S., Ledur Brito L.A.L., Supply chain management and its influence on operational performance, Journal of Operations and Supply Chain Management, 4, 2, 56-70, 2011.
• Flynn B.B., Flynn E.J., Synergies between supply chain management and quality management: Emerging implications, International Journal of Production Research, 43, 16, 3421-3436, 2005.
• Shin H., Collier D.A., Wilson D.D., Supply management orientation and supplier/buyer performance, Journal of Operations Management, 18, 3, 317-333, 2000.
• Wheeler B.C., NEBIC: A dynamic capabilities theory for assessing net-enablement, Information Systems Research, 13, 2, 125-146, 2002.
• Devaraj S., Krajewski L., Wei J.C., Impact of ebusiness technologies on operational performance: The role of production information integration in the supply chain, Journal of Operations Management, 25, 6, 1199-1216, 2007.
• Flynn B.B., Huo B., Zhao X., The impact of supply chain integration on performance: A contingency and configuration approach, Journal of Operations Management, 28, 1, 58-71, 2010.
• Swink M., Narasimhan R., Wang C., Managing beyond the factory walls: Effects of four types of strategic integration on manufacturing plant performance, Journal of Operations Management, 25, 1, 148-164, 2007.
• Wong C.Y., Boon-itt S., Wong C.W.Y., The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance, Journal of Operations Management, 29, 6, 604-615, 2011.
• Lee H., The triple-A supply chain, Harvard Business Review, 102-112, 2004.
• Frohlich M.T., E-intergration in the supply chain: barriers and performance, Decision Sciences, 33, 4, 537-556, 2002.
• Kim D., Lee R.P., Systems collaboration and strategic collaboration: Their impacts on supply chain responsiveness and market performance, Decision Sciences, 41, 4, 955-981, 2010.
• Dewar R.D., Dutton J.E., The adoption of radical and incremental innovations: an empirical analysis, Management Science, 32, 11, 1422-1433, 1986.
• Ettlie J.E., Bridges W.P., O'Keefe R.D., Organization strategy and structural differences for radical versus incremental innovation, Management Science, 30, 6, 682-695, 1984.
• Benner M.J., Tushman M.L., Exploitation, exploration, and process management: The productivity dilemma revisited, Academy of Management Review, 28, 2, 238-256, 2003.
• Gupta A.K., Smith K.G., Shalley C.E., The interplay between exploration and exploitation, Academy of Management Journal, 49, 4, 693-706, 2006.
• Damanpour F., Organizational innovation: a metaanalysis of effects of determinants and moderators, Academy of Management Journal, 34, 3, 555-590, 1991.
• Chuang L., An empirical study of the construction of measuring model for organizational innovation in Taiwanese high-tech enterprises, The Journal of American Academy of Business, 9, 2, 299-304, 2005.
• Neely A., Filippini R., Forza C., Vinelli A., Hii J., A framework for analysing business performance, firm innovation and related contextual factors: Perceptions of managers and policy makers in two european regions, Integrated Manufacturing Systems, 12, 2, 114-124, 2001.
• Melnyk S.A., Stewart D.M., Swink M., Metrics and performance measurement in operations management: Dealing with the metrics maze, Journal of Operations Management, 22, 3, 209-217, 2004.
• Rosenzweig E.D., Roth A.V., Towards a theory of competitive progression: evidence from high-tech manufacturing, Production & Operations Management, 13, 4, 354-368, 2004.
• Flynn B.B., Flynn E.J., An exploratory study of the nature of cumulative capabilities, Journal of Operations Management, 22, 5, 439-457, 2004.
• Peng D.X., Schroeder R.G., Shah R., Linking routines to operations capabilities: A new perspective, Journal of Operations Management, 26, 6, 730-748, 2008.
• Peng D.X., Schroeder R.G., Shah R., Competitive priorities, plant improvement and innovation capabilities, and operational performance: A test of two forms fit, International Journal of Operations & Production Management, 31, 5, 484-510, 2011.
• Li Y., Xie E., Teo H.H., Peng M.W., Formal control and social control in domestic and international buyer-supplier relationships, Journal of Operations Management, 28, 4, 333-344, 2010.
• Wu F., Yeniyurt S., Kim D., Cavugil S.T., The impact of information technology on supply chain capabilities and firm performance: A resource-based view, Industrial Marketing Management, 35, 4, 493-504, 2006.
• Camison C., Lopez A.V., An examination of the relationship between manufacturing flexibility and firm performance, International Journal of Operations & Production Management, 30, 8, 853-878, 2010.
• Prajogo D.I., McDermott C.M., The relationship between multidimensional organizational culture and performance, International Journal of Operations & Production Management, 31, 7, 712-735, 2011.
• Rai A., Patnayakuni R., Seth N., Firm performance impacts of digitally enabled supply chain integration capabilities, MIS Quarterly, 30, 2, 225-246, 2006.
• Sanders N.R., IT Alignment in supply chain relationships: A study of supplier benefits, Journal of Supply Chain Management, 41, 2, 4-13, 2005.
• Hatcher L., A Step by Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, NC: SAS Publishing, 2003.
• Cheung G.W., Rensvold R.B., Evaluating goodnessof-fit indexes for testing measurement invariance, Structural Equation Modeling, 9, 2, 233-255, 2002.
• Sobel M.E., Asymptotic confidence intervals for indirect effects in structural equation models, Sociological Methodology, 13, 290-312, 1982.
• Shrout P.E., Bolger N., Mediation in experimental and nonexperimental studies: new procedures and recommendations, Psychological Methods, 7, 4, 422-445, 2002.

Identyfikatory

DOI

DOI: 10.1515/mper-2016-0031