Including Client Opinion and Employee Engagement in the Strategic Human Resource Management: An Advanced SWOT- FUZZY Decision Making Tool

The trend in the Human Resources Management is to enhance it to the strategic level, this paper intends to provide an advanced decision making tool in the field of the Strategic Human Resources Management applying a combination of an augmented SWOT analysis approach to evaluate and to rank strategies and a Fuzzy Inference System FIS to eliminate the vagueness in the expressed opinions. The version of SWOT utilized here includes the client opinion and employee engagement besides to the traditional experts' assessment, while the FIS is an instrument that treats the data coming from SWOT analysis with the goal of avoiding the uncertainty that may come from the opinions expressed in the SWOT analysis and so to improve the ranking of the strategies. The results show improvements in prioritization of strategies in the way that besides knowing the decision to make for each, the model shows us also what to do regarding every strategy what to maximize and what to minimize while talking about strengths, weaknesses, opportunities and threat.The proposed model can be applied for strategies prioritization and decision making problems in all fields.

[1]  Heinz Weihrich,et al.  The TOWS matrix—A tool for situational analysis , 1982 .

[2]  S. Meysam Mousavi,et al.  Soft computing-based preference selection index method for human resource management , 2014, J. Intell. Fuzzy Syst..

[3]  Gerald R. Ferris,et al.  Strategic human resource practice implementation: The critical role of line management , 2014 .

[4]  Mary Anne Devanna,et al.  Strategic Human Resource Management , 1984 .

[5]  Tsung-Yu Chou,et al.  A fuzzy multi-criteria decision model for international tourist hotels location selection , 2008 .

[6]  Zhengyuan Jia,et al.  The Application of Fuzzy Control in Strategic Decision-Making of Small and Medium Enterprises , 2009, 2009 International Conference on Measuring Technology and Mechatronics Automation.

[7]  Michael S. Wilson,et al.  Research and practice in HRM: A historical perspective , 2014 .

[8]  Abbas S. Milani,et al.  An improvement of quantitative strategic planning matrix using multiple criteria decision making and fuzzy numbers , 2012, Appl. Soft Comput..

[9]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[10]  Hasan Hosseini-Nasab,et al.  Coping with Imprecision in Strategic Planning: A Case Study Using Fuzzy SWOT Analysis , 2011 .

[11]  Hsiao-Fan Wang,et al.  FUZZY SCENARIO ANALYSIS IN STRATEGIC PLANNING , 2001 .

[12]  William A. Kerler,et al.  The effects of trust, client importance, and goal commitment on auditors' acceptance of client-preferred methods , 2010 .

[13]  Yueh-Hsiang Chen,et al.  Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP , 2008, Inf. Sci..

[14]  C. Mbohwa,et al.  Fuzzy system dynamics and optimization with application to manpower systems , 2012 .

[15]  Mohammad Saleh Owlia,et al.  Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD , 2010 .

[16]  Metin Dagdeviren,et al.  Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm , 2007, Inf. Sci..

[17]  Yan-Kuen Wu,et al.  On the manpower allocation within matrix organization: A fuzzy linear programming approach , 2007, Eur. J. Oper. Res..

[18]  A. Memariani,et al.  Fuzzy SWOT analysis , 2007, J. Intell. Fuzzy Syst..

[19]  Alvydas Balezentis,et al.  Personnel selection based on computing with words and fuzzy MULTIMOORA , 2012, Expert Syst. Appl..

[20]  Ardeshir Bahreininejad,et al.  Sustainable supplier selection: A ranking model based on fuzzy inference system , 2012, Appl. Soft Comput..

[21]  Hayato Yoshioka,et al.  Quantitative SWOT analysis on global competitiveness of machine tool industry , 2006 .

[22]  Vinita Sinha,et al.  Role Efficacy: Studying the Impact on Employee Engagement, Employee Motivation and Attrition , 2014, Int. J. Hum. Cap. Inf. Technol. Prof..

[23]  António Trigo,et al.  I-Competere: Using applied intelligence in search of competency gaps in software project managers , 2012, Information Systems Frontiers.

[24]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[25]  J. L. Bower,et al.  Business policy: text and cases , 1973 .

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

[27]  P. Miller STRATEGIC INDUSTRIAL RELATIONS AND HUMAN RESOURCE MANAGEMENT ‐ DISTINCTION, DEFINITION AND RECOGNITION , 1987 .

[28]  Cengiz Kahraman,et al.  A SWOT-AHP Application Using Fuzzy Concept: E-Government in Turkey , 2008 .

[29]  Jafar Razmi,et al.  Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming , 2011, Expert Syst. Appl..

[30]  P. Rauch SWOT analyses and SWOT strategy formulation for forest owner cooperations in Austria , 2007, European Journal of Forest Research.

[31]  Carmen Medina-López,et al.  An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance , 2015 .

[32]  Adel Hatami-Marbini,et al.  Author's Personal Copy Applied Soft Computing an Extended Compromise Ratio Method for Fuzzy Group Multi-attribute Decision Making with Swot Analysis , 2022 .

[33]  Sean A. Way,et al.  Theorizing about the impact of strategic human resource management , 2005 .

[34]  Metin Celik,et al.  Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions , 2009, Expert Syst. Appl..

[35]  Manish Agarwal,et al.  Generalized intuitionistic fuzzy soft sets with applications in decision-making , 2013, Appl. Soft Comput..

[36]  D. Ketchen,et al.  Strategy in motion: Using motion pictures to illustrate strategic management concepts , 2012 .

[37]  Ricardo Colomo Palacios,et al.  ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets , 2012, Int. J. Appl. Math. Comput. Sci..

[38]  C. Lengnick-Hall,et al.  Strategic human resource management: The evolution of the field , 2009 .

[39]  Mohamed Tkiouat,et al.  A Markov Model for Human Resources Supply Forecast Dividing the HR System into Subgroups , 2013 .

[40]  Kuo-liang Lee,et al.  A fuzzy quantified SWOT procedure for environmental evaluation of an international distribution center , 2008, Inf. Sci..

[41]  Elizabeth M. Daniel,et al.  Client and consultant engagement in public sector IS projects , 2012, Int. J. Inf. Manag..