Exploring differences in competitive performance based on Miles and Snow's strategy typology for the semiconductor industry

The aim of this article is to construct a performance evaluation framework that can be employed in companies to enhance their business operations and strengthen their financial advantage in the current environment. To validate the approach, a case example has been included to assess the practicality and validity of this approach when applied in a real environment.,This study focuses on an important part of the strategic planning process: internal scrutiny and environmental (external) scanning, in which an evaluation of company performance is divided into two stages by using network DEA and the cross-efficiency approach. In addition, this article employs Miles and Snow's typology for classifying the strategies used by companies.,The analytical results show that the proposed framework can be useful for companies seeking to evaluate which strategies may be the most appropriate, based on Miles and Snow's typology, to effectively reallocate limited resources.,The evaluation in this study only uses financial data and does not take other nonfinancial indicators into consideration.,This research provides value by classifying each company included in the study in terms of its capability and financial efficiency according to Miles and Snow's system of strategy classification. Second, an internal and external performance measuring framework is constructed. Finally, some propositions for top management are provided by analyzing the financial advantages of using a performance evaluation framework that can help top management make decisions more objectively.

[1]  Meredith E. David,et al.  Are key marketing topics adequately covered in strategic management? , 2017 .

[2]  Paul A. Pavlou,et al.  Understanding the Elusive Black Box of Dynamic Capabilities , 2011, Decis. Sci..

[3]  Melody Y. Kiang,et al.  A fuzzy quantitative VRIO‐based framework for evaluating organizational activities , 2012 .

[4]  Sascha Meskendahl The influence of business strategy on project portfolio management and its success — A conceptual framework , 2010 .

[5]  Cinho Lin,et al.  A Gdss for Ranking A Firm's Core Capability Strategies , 2007, J. Comput. Inf. Syst..

[6]  D. Donelson,et al.  Changes Over Time in the Revenue-Expense Relation: Accounting or Economics? , 2011 .

[7]  John Seydel,et al.  Data envelopment analysis for decision support , 2006, Ind. Manag. Data Syst..

[8]  Shu-Hsien Liao,et al.  Comparison of competing models and multi-group analysis of organizational culture, knowledge transfer, and innovation capability: an empirical study of the Taiwan semiconductor industry , 2015 .

[9]  Sriram Narayanan,et al.  Vertical integration, innovation, and alliance portfolio size: Implications for firm performance , 2013 .

[10]  Y. Lee Management of a periodic-review inventory system using Bayesian model averaging when new marketing efforts are made , 2014 .

[11]  Cherng G. Ding,et al.  Lessons from the global financial crisis for the semiconductor industry , 2015 .

[12]  Tser-yieth Chen,et al.  DEA performance evaluation based on BSC indicators incorporated: The case of semiconductor industry , 2007 .

[13]  Eric M. Olson,et al.  Worried about strategy implementation? Don’t overlook marketing's role , 2010 .

[14]  Joe Zhu,et al.  Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market , 2014, Eur. J. Oper. Res..

[15]  Erwin Danneels Survey measures of first‐ and second‐order competences , 2016 .

[16]  Chiang Kao,et al.  Efficiency decomposition in network data envelopment analysis: A relational model , 2009, Eur. J. Oper. Res..

[17]  Patricia Renou-Maissant,et al.  Investigating the semiconductor industry cycles , 2013 .

[18]  David C. Mowery,et al.  e-Business and Disintegration of the Semiconductor Industry Value Chain , 2002 .

[19]  S. Gopalakrishnan,et al.  A view from the vendor’s side: factors that determine satisfaction , 2017 .

[20]  Eric M. Olson,et al.  The moderating influence of strategic orientation on the strategy formation capability–performance relationship , 2006 .

[21]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[22]  L. Ngo,et al.  Creating value offerings via operant resource-based capabilities , 2009 .

[23]  Chinho Lin,et al.  Achieving a firm’s competitive advantage through dynamic capability , 2016 .

[24]  Henry C. W. Lau,et al.  An outcome-based process optimization model using fuzzy-based association rules , 2018, Ind. Manag. Data Syst..

[25]  Burcu Özcan,et al.  Fuzzy multi criteria decision making approach to innovative strategies based on Miles and Snow typology , 2015, J. Intell. Manuf..

[26]  Chinho Lin,et al.  Collaboration strategy decision-making using the Miles and Snow typology , 2014 .

[27]  John E. Delery,et al.  Strategic human resource management, human capital and competitive advantage: is the field going in circles? , 2017 .

[28]  T. Swift The perilous leap between exploration and exploitation , 2016 .

[29]  Chinho Lin,et al.  Application of the Fuzzy Weighted Average in Strategic Portfolio Management , 2005, Decis. Sci..

[30]  Joseph A. Clougherty,et al.  Empirically eliciting complementarities in capabilities: integrating quasi-experimental and panel data methodologies , 2010 .

[31]  Louis Raymond,et al.  Enabling the business strategy of SMEs through e-business capabilities: A strategic alignment perspective , 2008, Ind. Manag. Data Syst..

[32]  Olli-Pekka Kauppila,et al.  Alliance management capability and firm performance: : Using resource-based theory to look inside the process black box , 2015 .

[33]  Eric M. Olson,et al.  Strategy type and performance : The influence of sales force management , 2000 .

[34]  Jerker Denrell,et al.  Strategic responsiveness and Bowman's risk–return paradox , 2007 .

[35]  M. Mohanty,et al.  Supplier performance measurement in discrete manufacturing industry-empirical study on Indian manufacturing sector , 2012 .

[36]  T. Cheng,et al.  The relationship between supplier management and firm's operational performance: A multi-dimensional perspective , 2012 .

[37]  S. S. Rao,et al.  SUPPLY MANAGEMENT, SUPPLY FLEXIBILITY AND PERFORMANCE OUTCOMES: AN EMPIRICAL INVESTIGATION OF MANUFACTURING FIRMS , 2010 .

[38]  C. Kao,et al.  Efficiency decomposition for parallel production systems , 2012, J. Oper. Res. Soc..

[39]  Rodney H. Green,et al.  Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .