Balanced scorecard performance evaluation in a closed-loop hierarchical model under uncertainty

This measurement system includes a set of financial and non-financial measures.This study proposes a hierarchical network structure and interdependence relations under uncertainty.This study demonstrates a closed-loop network to improve practical performance. This study provides valuable support for successful decision making in network hierarchical structures. The balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. This study examined both qualitative and quantitative data for the proposed hybrid analytical method. Although numerous studies have been conducted in industry and academia for the development of BSC performance measures, few studies have explored a BSC hierarchical network structure and interdependence relations under uncertainty. This study proposed a set of hybrid approaches for the real case of a performance evaluation of a leisure farm and demonstrated a closed-loop analytical network process for the hierarchical and interdependence relations BSC to assist research improve practical performance and enhance management effectiveness and efficiency regarding qualitative and quantitative information. This study adopted the traditional BSC framework that considers importance weights, performance weights and norm values. The results indicated that the financial aspect is highly weighted and exhibits superior performance; however, the customer aspect exhibits a higher ranking when considering the importance weight and norm value. Managerial implications and concluding remarks are also included in the study.

[1]  Hsien-Tang Tsai,et al.  Government performance evaluation using a balanced scorecard with a fuzzy linguistic scale , 2010 .

[2]  Hu-Chen Liu,et al.  Integrating hierarchical balanced scorecard with fuzzy linguistic for evaluating operating room performance in hospitals , 2013, Expert Syst. Appl..

[3]  Cecil Bozarth,et al.  A Conceptual Model of Manufacturing Focus , 1993 .

[4]  Panagiotis Chytas,et al.  A Proactive Fuzzy Cognitive Balanced Scorecard , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[5]  George Ioannou,et al.  An Integrated Methodology for Putting the Balanced Scorecard into Action , 2005 .

[6]  Eric M. Olson,et al.  The balanced scorecard, competitive strategy, and performance , 2002 .

[7]  Hans-Knud Arndt,et al.  A Procedure to Estimate Relations in a Balanced Scorecard , 2007, GfKl.

[8]  Mustafa Yurdakul,et al.  AHP as a strategic decision-making tool to justify machine tool selection , 2004 .

[9]  Ching-Hsue Cheng,et al.  Fuzzy hierarchical TOPSIS for supplier selection , 2009, Appl. Soft Comput..

[10]  Chun-Hsien Wang,et al.  Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance , 2010 .

[11]  Yi-Hsuan Chen,et al.  A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard , 2009, Expert Syst. Appl..

[12]  Rachelle S. Heller,et al.  Use of a keystroke log file to evaluate an interactive computer system in a museum setting , 1997, Comput. Educ..

[13]  Chang‐Soo Kim,et al.  The effects of IT expenditures on banks’ business performance: using a balanced scorecard approach , 2004 .

[14]  Fong-Ching Yuan,et al.  A hierarchical design of case-based reasoning in the balanced scorecard application , 2009, Expert Syst. Appl..

[15]  Fernando Bobillo,et al.  A semantic fuzzy expert system for a fuzzy balanced scorecard , 2009, Expert Syst. Appl..

[16]  L. C. Leung,et al.  Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process , 2006, J. Oper. Res. Soc..

[17]  Gyula Mezey,et al.  A practical prioritization by multi-level group decision support , 2008, Central Eur. J. Oper. Res..

[18]  Shwu-Ing Wu,et al.  The Performance Measurement of Cause-Related Marketing by Balance Scorecard , 2007 .

[19]  Y. L. Chan.  An Analytic Hierarchy Framework for Evaluating Balanced Scorecards of Healthcare Organizations , 2009 .

[20]  Kim Hua Tan,et al.  Predictive performance measurement system , 2007 .

[21]  Shwu-Ing Wu,et al.  A performance evaluation model of CRM on non-profit organisations , 2008 .

[22]  B. J. Zirger,et al.  The effect of acceleration techniques on product development time , 1996 .

[23]  Ming-Lang Tseng,et al.  Green supply chain management with linguistic preferences and incomplete information , 2011, Appl. Soft Comput..

[24]  R. Kaplan,et al.  Using the balanced scorecard as a strategic management system , 1996 .

[25]  Ying-Feng Kuo,et al.  Constructing performance appraisal indicators for mobility of the service industries using Fuzzy Delphi Method , 2008, Expert Syst. Appl..

[26]  Ad J. de Ron,et al.  Sustainable production: The ultimate result of a continuous improvement , 1998 .

[27]  Lawrence W. Lan,et al.  Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral , 2009, Comput. Ind. Eng..

[28]  James R. Evans.  An exploratory study of performance measurement systems and relationships with performance results , 2004 .

[29]  Gwo-Hshiung Tzeng,et al.  A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP , 2011 .

[30]  Elena Revilla,et al.  Assessing the Impact of Learning Capability on Business Performance: Empirical Evidence from Spain , 2006 .

[31]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[32]  Chia-Wei Hsu,et al.  Using the FDM and ANP to construct a sustainability balanced scorecard for the semiconductor industry , 2011, Expert Syst. Appl..

[33]  Ming-Lang Tseng.  An assessment of cause and effect decision-making model for firm environmental knowledge management capacities in uncertainty , 2010, Environmental monitoring and assessment.

[34]  E A Morash,et al.  TOWARD MANAGEMENT OF TRANSPORTATION SERVICE QUALITY , 1994 .

[35]  Carmel Ann Herington,et al.  Human resource managers’ perceptions of the applications and merit of the balanced scorecard in hotels , 2008 .

[36]  Javad Jassbi,et al.  A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map , 2011, Expert Syst. Appl..

[37]  Jennifer S. Shang,et al.  A unified framework for multicriteria evaluation of transportation projects , 2004, IEEE Transactions on Engineering Management.

[38]  Hung-Yi Wu,et al.  Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. , 2012, Evaluation and program planning.

[39]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[40]  S. Mukherjee,et al.  MEASUREMENT OF CORPORATE PERFORMANCE THROUGH BALANCED SCORECARD : AN OVERVIEW , 2006 .

[41]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[42]  Rajiv D. Banker,et al.  A balanced scorecard analysis of performance metrics , 2004, Eur. J. Oper. Res..

[43]  Kim Hua Tan,et al.  Uncovering the links between regulation and performance measurement , 2009 .

[44]  Manoj Kumar Tiwari,et al.  Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach , 2005, Comput. Ind. Eng..

[45]  Ming-Lang Tseng,et al.  Implementation and performance evaluation using the fuzzy network balanced scorecard , 2010, Comput. Educ..