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Cluster and R&D affecting the competitive advantage of the mould and die sector in the Thai automotive industry

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Języki publikacji
EN
Abstrakty
EN
This study concerned clusters as well as research and development affecting the competitive advantage of the Thai automotive industry’s mould and die sector. The study of development, examination of the consistency of the structural equation model, and the direct influence of linkage and association of cluster, as well as research and development for competitive advantage of operational locations in the Thai automotive mould & die sector was carried out as well. Data was collected from 320 mould and die industry operators in Thailand with the goal of obtaining key information to align the business direction in response to market opportunities. An additional goal was to elevate the competitiveness of the Thai automotive mould and die industry toward positive growth and continual sustainability.
Twórcy
autor
  • Rajabhat Rajanagarindra University, Faculty of Management Science, 422 Maruphong Rd., Na Mueang, Muang Chachoengsao, Chachoengsao, 24000, Thailand
autor
  • Huachiew Chalearprakiet University, Faculty of Business Administration, Thailand
autor
  • Rajamangala University of Technology Lanna, Thailand
  • Mahanakorn University of Technology, Thailand
  • Mahanakorn University of Technology, Thailand
autor
  • University of Vaasa, Finland
Bibliografia
  • [1] Ministry of Industry, Master Plan for Thai Industry Development B.E.2555-2574, 2016, Accessible from:tsba.or.th/download/National%20industrial% 20developmen%20master%20plan.pdf].
  • [2] Yoshinori Maekawa, Desirable Collaboration between Thailand and Japan for Die and Mould Technology, Thailand-Japan Die and Mould Technology Symposium, November 22, 2012.
  • [3] Thai Customs Department, Statistics of importexport, http://internet1.customs.go.th/ext/Statistic/StatisticIndex2550.jsp [accessed on September 10, 2016].
  • [4] The Secretariat of the House of Representatives, Cluster: Business cluster for competition,2015, http://www.parliament.go.th/library [accessed on September 10, 2016].
  • [5] Sölvell O., Lindqvist G., Ketels C., The Cluster Initiative Greenbook Stockholm: Ivory Tower, 2003, http://www.cluster-research.org [accessed on March 1, 2016].
  • [6] Zhao F., Managing Innovation and Quality of Collaborative R&D, International & 8 th Nation Conference, Melbourne, 2001.
  • [7] Salunke S., Weerawardena J., McColl-Kennedy J.R., Towards a model of dynamic capabilities in innovation-based competitive strategy: insights from project-oriented service firms, Industrial Marketing Management, 40, 1251-1263, 2011.
  • [8] Weng M.H., Ha J.L., Wang Y.C., Tsai C.L., A study of the relationship among service innovation customer value and customer satisfaction: an industry in Taiwan, International Journal of Organizational Innovation, 4, 3, 98-112, 2012.
  • [9] Porter M.E., Competitive Advantage Creating and Sustaining Superior Performance, The Free Press, New York, 1985.
  • [10] Mehmet Murat Kristal, Xiaowen Huang, Aleda V. Roth, The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance, Journal of Operations Management, 28, 415-429, 2010.
  • [11] Wang Chi-Tai, Chiu Chui-Sheng, Competitive strategies for Taiwan’s semiconductor industry in a new world economy, Technology in Society, 36, 60-73, 2014.
  • [12] Soloducho-Pelc L., Competitive advantage: the courage in formulating objectives and expansiveness of a strategy, Procedia- Social and Behavioral Sciences, 150, 271-280, 2014.
  • [13] Verma Rajeev, Jayasimha K.R., Service delivery innovation architecture: an empirical study of antecedents and outcomes, IIMB Management Review, 26, 105-121, 2014.
  • [14] Kam-Sing Wong S., The influence of green product competitiveness on the success of green product innovation Empirical evidence from the Chinese electrical and electronics industry, European Journal of Innovation Management, 15, 4, 468-490, 2011.
  • [15] Kotler P., A Framework for Marketing Management, Second Ed. Pearson Education International, New Jersey, 2003.
  • [16] Watchara Yeesoontes, Witayakorn Chiengkul, The Competitiveness of Thailand’s Mould and Die Industry, 2013, http://opac.lib.buu.ac.th, [accessed on August 11, 2016].
  • [17] Liu Y., Wei J., Business modeling for entrepreneurial firms: four case in China, Chin. Manag. Stud., 7, 3, 344-359, 2013.
  • [18] Kyung-Nam Kang, Hayoung Park, Influence of government R&D support and inter-firm collaborations on innovation in Korean biotechnology SMEs, Technovation, 32, 68-78, 2012.
  • [19] Magrab E.B., Gupta S.K., McCluskey F.P., Sandaborn P.A., Integrated Produc and Process Design and Development, New York, CRD Press Taylor & francis Group, 2009.
  • [20] Chamsuk W., Fongsuwan W., Takala J., The effect of research and development capability on competitive advantage: a SEM approach an automotive parts industry in Thailand, Management and Production Engineering Review, 8, 1, 101-112, 2017.
  • [21] Un C. Annique, Asakawa, Kazuhiro, Types of R&D Collaborations and Process Innovation: The Benefit of Collaborating Upstream in the Knowledge Chain, Journal of Product Innovation and Management, 32, 1, 138-153, 2015.
  • [22] Colomboa M.G., Rabbiosi L., Technological similarity, post-acquisition R&D reorganization, and innovation performance in horizontal acquisitions, Research Policy, 43, 1039-1054, 2014.
  • [23] Wang Chun-Hsien, Lu Yung-Hsiang, Huang ChinWei, Lee Jun-Yen, R&D, productivity, and market value: An empirical study from high-technology firms, Omega, 41, 143-155, 2013.
  • [24] Lau Antonio K.W., Yam R.C.M., Tang E., The complementarity of internal integration and product modularity : An empirical study of their interaction effect on competitive capabilities, J. Eng. Technol. Manag., 26, 305-326, 2009.
  • [25] Joongsan Oh, Seung-Kyu Rhee, Influences of supplier capabilities and collaboration in new car development on competitive advantage of carmakers, Management Decision, 48, 5, 756-774, 2010.
  • [26] Wawmayura Chamsuk, Phimonsathien T., Wanno Fongsuwan, A Structural Equation Model of factors that affect the ASEAN Competitive Advantage of the Thai Automotive Parts Industry, Research Journal of Business Management, 9, 1, 218-232, 2015.
  • [27] Pelin Bicen et al., Validating new product creativity in the eastern context of Malaysia, Journal of Business Research, JBR-07578, 7, 2014.
  • [28] Ming Lang Tseng, Sheng Hsiang Lin, Truong Nguyen Tuong Vy, Mediate effect of technology innovation capabilities investment capability and firm performance in Vietnam, Procedia - Social and Behavioral Sciences, 40, 817-829, 2012.
  • [29] Angappa Gunasekaran, Alain Spalanzani, Sustainability of manufacturing and services: investigations for research and applications, Int. J. Production Economics, 140, 35-47, 2012.
  • [30] Yeonhee Lee, Sooyoung Kim, Hyejin Lee, The impact of service R&D on the performance of Korean information communication technology small and medium enterprises, Journal of Engineering and Technology Management, 28, 77-92, 2011.
  • [31] Prajogo D.I., Sohal A.S., The integration of TQM and technology/R&D management in determining quality and innovation performance, Omega, 34, 296-312, 2006.
  • [32] Porter M.E., Clusters and the New Economics of Competition, Harvard Business Review, 76, 6, 77-90, 1998.
  • [33] Martin R., Sunley P., Deconstructing Clusters, Chaotic Concept or Policy Panacea?, 2003.
  • [34] Cane T., Tyler B.B., Alliance portfolio R&D intensity and new product introduction, Am. J. Bus., 28, 1, 38-63, 2013.
  • [35] Santos-Vijande M.L., Lopez-Sanchez J.A., Trespalacios, J.A., How organizational learning affects a firm’s flexibility, competitive strategy, and performance, J. Bus. Res., 65, 1079-1089, 2012.
  • [36] Porter M.E., Competitive advantage of nations: creating and sustaining superior performance, Simon and Schuster, 2011.
  • [37] Rodriguez-Clare A., Coordination Failures, Clusters and Microeconomic Interventions. Inter-American development, Bank Working Paper, 2005.
  • [38] Yen-Tsung Huang, Learning from cooperative interorganizational relationships: the case of international joint venture, Journal of Business & Industrial Marketing, 25, 6, 454-467, 2010.
  • [39] Sohel Ahmad, Schroeder R.G., Knowledge management through technology strategy: implications for competitiveness, J. Manuf. Tech. Manag., 22, 1, 624, 2011.
  • [40] Langlois R.H., Competition through Institutional Form: the Case of Cluster Tool Standards, University of Connecticut Department of Economics, Working Paper No.2004-10, 2004, Available at SSRN: http://ssrn.com/abstract=594542.
  • [41] Xiujie Wang, Jian Liu, Research on the Collaborative Innovation Mechanism of the Automotive Industry Cluster Based on Original Collaboration, 3rd International Conference on Management, Education, Information and Control (MEICI 2015), pp. 1627-1631, 2015.
  • [42] Broekel T., Fornahl D., Morrison A., Another cluster premium: innovation subsidies and R&D collab oration networks, Papers in Evolutionary Economic Geography, pp. 1-30, 2015.
  • [43] Ma Ding, Supply Chain Collaboration toward Ecoinnovation: an SEM Analysis of the Inner Mechanism, 978-1-4799-6058-3/14/$31.00, IEEE, pp. 129-134, 2014.
  • [44] Hair J.F. Jr., Black W.C., Babin B.J., Anderson R.E., Multivariate data analysis (7th ed.), New Jersey, USA: Prentice Hall, 2010.
  • [45] Likert R., A Technique for the Measurement of Attitudes, [in:] Attitude Assessment, Summers G.F. [Ed.], Rand-McNally and Company, Chicago, IL, USA, pp. 149-158, 1970.
  • [46] Schumacker R.E., Lomax R.G., A beginner’s guide to structural equation modeling, New York: Routledge, 2010.
  • [47] Lauro C., Vinzi V.E., Amato S., PLS typological regression: algorithmic, classification and validation issues, [in:] New developments in classification and data analysis, Vichi M., Monari P., Mignani S., Montanari A. [Eds.], Springer-Verlag, Berlin, Germany, ISBN-13: 9783540238096, pp. 133-140, 2005.
  • [48] Henseler J., Fassott G., Testing moderating effects in PLS path models: An illustration of available procedures, 2010, Handbook of Partial Least Squares Springer Handbooks of Computational Statistics, pp.713-735.
  • [49] Bobillo A.M., Lopez-Iturriaga F., Tejerina-Gaite F., Firm performance and international diversification: the internal and external competitive advantages, International Business Review, 19, 607-618, 2010.
  • [50] Binder M., Gust P., Clegg B., The importance of collaborative frontloading in automotive supply networks, Journal of Manufacturing Technology Management, 19, 3, 315-331, 2008.
  • [51] Endang Chumaidiyah, The Technology, Technical Skill, and R&D Capability in Increasing Profitability on Indonesia Telecommunication Services Companies, Procedia Economics and Finance, 4, 110-119, 2012.
  • [52] Mazharul Islam, Azharul Karim, Manufacturing practices and performance comparison among small-medium and large industries, Int. J. Qual. Reliab. Manag., 28, 1, 43-61, 2009.
Uwagi
Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8a89b64c-30f8-410c-983e-7a008c29634f
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