A multiple criteria group decision-making approach for the assessment of small and medium-sized enterprise competitiveness

PurposeSmall- and medium-sized enterprises (SMEs) have become increasingly important in national and international markets because they contribute to the development of local and national economies. SMEs often face serious challenges when competing with multinational companies. The purpose of this paper is to develop a method for assessing SMEs’ competitiveness.Design/methodology/approachBased on a constructivist epistemology, this study makes an integrated use of cognitive mapping and the measuring attractiveness by a categorical-based evaluation technique (MACBETH). To this end, face-to-face sessions were conducted with a panel of entrepreneurs and senior managers who deal with the challenges of maintaining SME competitiveness every day. The proposed assessment system was tested and validated by the panel members.FindingsThe methodological processes adopted in this study provide promising results for decision makers seeking to identify the most competitive SMEs. Specifically, the results emphasize, among other points, the importance of innovation and the human dimension to gaining competitive advantages.Research limitations/implicationsThe evaluation system developed in this study is extremely versatile and confirms the usefulness of integrating cognitive mapping and MACBETH to facilitate evaluations of SME competitiveness. However, due to its idiosyncratic and process-oriented nature, generalizations need to be done with caution.Practical implicationsThe proposed method can be valuable to researchers seeking to develop mechanisms for evaluating SMEs’ entrepreneurial performance and include specialized know-how and sensemaking in organizational decision-making processes.Originality/valueThe integrated use of cognitive maps and MACBETH contributes to a better understanding of how to assess SMEs’ competitiveness. No prior work reporting the use of this dual methodology in this study context has been found.

[1]  Hélcio Vieira Junior.  Multicriteria approach to data envelopment analysis , 2008 .

[2]  Vanessa I. G. Pereira,et al.  A constructivist multiple criteria framework for mortgage risk analysis , 2019, INFOR Inf. Syst. Oper. Res..

[3]  B. W. Ang,et al.  Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure , 2009 .

[4]  Fernando A. F. Ferreira,et al.  A multiple criteria information system for pedagogical evaluation and professional development of teachers , 2015, J. Oper. Res. Soc..

[5]  Razvan Voinescu,et al.  Competitiveness, Theoretical and Policy Approaches. Towards a More Competitive EU , 2015 .

[6]  Fernando Ferreira,et al.  Using multiple criteria decision analysis (MCDA) to assist in estimating residential housing values , 2016 .

[7]  Sérgio Pereira dos Santos,et al.  From traditional operational research to multiple criteria decision analysis: basic ideas on an evolving field , 2011 .

[8]  Fernando Ferreira,et al.  Enhancing individual entrepreneurial orientation measurement using a metacognitive decision making-based framework , 2016, International Entrepreneurship and Management Journal.

[9]  Fernando A. F. Ferreira,et al.  Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises , 2017, J. Oper. Res. Soc..

[10]  C. B. E. Costa,et al.  Facilitating bid evaluation in public call for tenders: a socio-technical approach , 2002 .

[11]  C. Zopounidis,et al.  Multi‐criteria decision aid in financial decision making: methodologies and literature review , 2002 .

[12]  Kathleen M. Sutcliffe,et al.  Special Issue: Frontiers of Organization Science, Part 1 of 2: Organizing and the Process of Sensemaking , 2005, Organ. Sci..

[13]  M. Porter.  Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[14]  F. Ferreira.  Measuring trade-offs among criteria in a balanced scorecard framework: possible contributions from the multiple criteria decision analysis research field , 2013 .

[15]  Valerie Belton,et al.  Causal maps and the evaluation of decision options—a review , 2006, J. Oper. Res. Soc..

[16]  Fernando Ferreira,et al.  Assessing the innovation capability of small- and medium-sized enterprises using a non-parametric and integrative approach , 2018, Management Decision.

[17]  Carlos A. Bana e Costa,et al.  A critical analysis of the eigenvalue method used to derive priorities in AHP , 2008, Eur. J. Oper. Res..

[18]  I. Lengyel.  Competitiveness of Metropolitan Regions in Visegrad Counties , 2016 .

[19]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[20]  R. Grant.  Contemporary Strategy Analysis , 2005 .

[21]  C. Eden,et al.  ‘Joined-Up’ Policy-Making: Group Decision and Negotiation Practice , 2014 .

[22]  Carla S. Marques,et al.  A knowledge-based innovation assessment system for small- and medium-sized enterprises: adding value with cognitive mapping and MCDA , 2018, J. Knowl. Manag..

[23]  João Carlos Lourenço,et al.  Development of Reusable Bid Evaluation Models for the Portuguese Electric Transmission Company , 2008, Decis. Anal..

[24]  João J. M. Ferreira,et al.  Integrating Metacognitive and Psychometric Decision-Making Approaches for Bank Customer Loyalty Measurement , 2016, Int. J. Inf. Technol. Decis. Mak..

[25]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[26]  L. Ensslin,et al.  MCDA: a constructivist approach to the management of human resources at a governmental agency , 2000 .

[27]  R. Todericiu,et al.  Intellectual Capital – The Key for Sustainable Competitive Advantage for the SME's Sector☆ , 2015 .

[28]  Theodor J. Stewart,et al.  Multicriteria decision analysis: Some thoughts based on the tutorial and discussion sessions of the ESIGMA meetings , 1997 .

[29]  Elias G. Carayannis,et al.  Assessing the role of knowledge management capability and environmental dynamism in SMEs , 2017 .

[30]  L. Klovienė,et al.  Is Performance Measurement System Going Towards Sustainability in SMEs , 2015 .

[31]  Fernando Ferreira,et al.  For sale… but for how long? a methodological proposal for estimating time-on-the-market , 2015 .

[32]  Elias G. Carayannis,et al.  Developing a socio-technical evaluation index for tourist destination competitiveness using cognitive mapping and MCDA , 2018, Technological Forecasting and Social Change.

[33]  Bing Xu,et al.  Performance evaluation of competing forecasting models: A multidimensional framework based on MCDA , 2012, Expert Syst. Appl..

[34]  Colin Eden,et al.  Cognitive mapping and problem structuring for system dynamics model building , 1994 .

[35]  F. Ferreira,et al.  Comparing trade-off adjustments in credit risk analysis of mortgage loans using AHP, Delphi and MACBETH , 2016 .

[36]  Carlos A. Bana e Costa,et al.  On the mathematical foundations of MACBETH , 2016 .

[37]  Fernando Ferreira,et al.  The impact of continuous training in small and medium enterprises: Lessons from an industrial case analysis , 2013 .

[38]  Marjan S. Jalali,et al.  An idiosyncratic decision support system for credit risk analysis of small and medium-sized enterprises , 2015 .

[39]  C. B. E. Costa,et al.  MACBETH — An Interactive Path Towards the Construction of Cardinal Value Functions , 1994 .

[40]  S. Ahmedova.  Factors for Increasing the Competitiveness of Small and Medium- Sized Enterprises (SMEs) in Bulgaria , 2015 .

[41]  M. Man,et al.  Analysis of the SMEs Development in Romania in the Current European Context Affected by the Global Economic Crisis , 2014 .

[42]  João Carlos Lourenço,et al.  A Socio-technical Approach for Group Decision Support in Public Strategic Planning: The Pernambuco PPA Case , 2014 .

[43]  Fran Ackermann,et al.  Cognitive mapping expert views for policy analysis in the public sector , 2004, Eur. J. Oper. Res..

[44]  Simon Bell,et al.  Groups and facilitators within problem structuring processes , 2013, J. Oper. Res. Soc..

[45]  M. Ş. Ensari,et al.  What Helps to Make SMEs Successful in Global Markets , 2014 .

[46]  F. Ferreira,et al.  Assessing credit risk of mortgage lending using MACBETH: a methodological framework , 2014 .

[47]  Marjan S. Jalali,et al.  A fuzzy knowledge-based framework for risk assessment of residential real estate investments , 2017 .

[48]  Marcin Piatkowski.  Factors Strengthening the Competitive Position of SME Sector Enterprises. An Example for Poland , 2012 .

[49]  Richard J. Ormerod,et al.  Logic and rationality in OR interventions: an examination in the light of the ‘critical rationalist’ approach , 2013, J. Oper. Res. Soc..

[50]  R. Campbell,et al.  A Theory of Leadership Effectiveness. , 1968 .

[51]  Colin Eden,et al.  Analyzing cognitive maps to help structure issues or problems , 2004, Eur. J. Oper. Res..

[52]  Leonardo Ensslin,et al.  Decision Support Systems in action: Integrated application in a multicriteria decision aid process , 1999, Eur. J. Oper. Res..

[53]  Mesut Savrul,et al.  Structure of Small and Medium-Sized Enterprises in Turkey and Global Competitiveness Strategies☆ , 2014 .

[54]  Fernando Ferreira,et al.  Analyzing the dynamics behind ethical banking practices using fuzzy cognitive mapping , 2017, Operational Research.

[55]  Marjan S. Jalali,et al.  Experience-focused thinking and cognitive mapping in ethical banking practices: From practical intuition to theory , 2016 .

[56]  Katarzyna Rostek,et al.  The reference model of competitiveness factors for SME medical sector , 2012 .

[57]  Edmundas Kazimieras Zavadskas,et al.  State of art surveys of overviews on MCDM/MADM methods , 2014 .

[58]  Martin Weber,et al.  Behavioral influences on weight judgments in multiattribute decision making , 1993 .

[59]  Elias G. Carayannis,et al.  Value generation from industry-science linkages in light of targeted open innovation , 2017, J. Knowl. Manag..