An empirical study on measurement of efficiency of digital transformation by using data envelopment analysis

Article history: Received: October 23, 2018 Received in revised format: November 24, 2018 Accepted: January 14, 2019 Available online: January 14, 2019 Nowadays digitalization is an important topic for businesses and government agencies. There are important reports publishing about digitalization or digital transformation. This study aims to measure the relative efficiency of digital transformation among EU Countries based on data envelopment analysis (DEA). The necessary data are extracted from Digital Transformation Scoreboard 2018 published by European Commission. DEA is one of popular methods for measuring the relative efficiency of similar units. This study empirically proposes an alternative ranking for countries with respect to digital transformation efficiency by using “enablers and output” approach of Digital Transformation Scoreboard. Digital Infrastructure, Investment and Access to Finance, Supply and Demand of Digital Skills, E-Leadership and Entrepreneurial Culture are considered as input while ICT start-ups and Digital Transformation are considered as the output of DEA model. The results indicate that while some countries like Denmark, Italy and United Kingdom are considered relatively efficient, Netherland and Germany are not very efficient according to our results. © 2019 by the authors; licensee Growing Science, Canada

[1]  Aydın Balyer,et al.  ACADEMICIANS' VIEWS ON DIGITAL TRANSFORMATION IN EDUCATION , 2018 .

[2]  Isabell M. Welpe,et al.  How Does the Digital Transformation Affect Organizations? Key Themes of Change in Work Design and Leadership , 2018 .

[3]  Gholam Reza Jahanshahloo,et al.  A Complete Efficiency Ranking of Decision Making Units in Data Envelopment Analysis , 1999, Comput. Optim. Appl..

[4]  Đorđe Mitrović,et al.  BROADBAND ADOPTION, DIGITAL DIVIDE, AND THE GLOBAL ECONOMIC COMPETITIVENESS OF WESTERN BALKAN COUNTRIES , 2015 .

[5]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[6]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[7]  Li Wenwei,et al.  Bridging the digital divide: measuring digital literacy , 2018 .

[8]  R. R. Russell,et al.  Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence , 2002 .

[9]  Pradeep Kotamraju,et al.  The Efficiency of the High-Tech Economy: Conventional Development Indexes Versus a Performance Index , 2006 .

[10]  Saul J. Berman Digital transformation: opportunities to create new business models , 2012 .

[11]  M. Roberts,et al.  Productivity, Efficiency and Technological Change in European Union Regional Manufacturing: A Data Envelopment Analysis Approach , 2006 .

[12]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[13]  M. Lynne Markus,et al.  Designing for Digital Transformation: Lessons for Information Systems Research from the Study of ICT and Societal Challenges , 2016, MIS Q..

[14]  Werner Reinartz,et al.  Digital Transformation and Value Creation: Sea Change Ahead , 2017 .

[15]  Daniel R. A. Schallmo,et al.  Digital Transformation of Business Models — Best Practice, Enablers, and Roadmap , 2017, Digital Disruptive Innovation.

[16]  Wei Zhang,et al.  Digital transformation by SME entrepreneurs: A capability perspective , 2018, Inf. Syst. J..

[17]  Vikas Kumar,et al.  Towards digital transformation: Lessons learned from traditional organizations , 2018 .

[18]  William W. Cooper,et al.  Data Envelopment Analysis: History, Models, and Interpretations , 2011 .

[19]  Paolo Mancuso,et al.  ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries , 2012 .

[20]  Paul B. Kantor,et al.  Evaluation of Digital Libraries: A DEA Approach. , 1999 .

[21]  Francisco J. Molina-Castillo,et al.  The impact of digitalization on business models , 2018 .

[22]  A. Peyrache,et al.  Labour Productivity and Technology Gap in European Regions: A Conditional Frontier Approach , 2015 .

[23]  Nuno Melão,et al.  Data Envelopment Analysis Revisited: A Neophyte's Perspective , 2005 .

[24]  J. Nazarko,et al.  Environmental DEA method for assessing productivity of European countries , 2017 .