IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10552-d896514.html
   My bibliography  Save this article

Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach

Author

Listed:
  • Carla Henriques

    (Coimbra Business School | Instituto Superior de Contabilidade e Administração de Coimbra (ISCAC), Polytechnic of Coimbra, 3045-601 Coimbra, Portugal
    INESC Coimbra—Department of Electrical and Computer Engineering (DEEC), University of Coimbra, Polo 2, 3030-290 Coimbra, Portugal
    Centre for Business and Economics Research (CeBER), Faculty of Economics, University of Coimbra, Av Dias da Silva 165, 3004-512 Coimbra, Portugal)

  • Clara Viseu

    (Coimbra Business School | Instituto Superior de Contabilidade e Administração de Coimbra (ISCAC), Polytechnic of Coimbra, 3045-601 Coimbra, Portugal
    Centro de Matemática e Aplicações (CMA-UBI), Universidade da Beira Interior, 6200-001 Covilhã, Portugal)

Abstract

We assessed the implementation of operational programs (OPs) aimed at boosting the deployment of information and communication technologies (ICTs) in small and medium-sized enterprises (SMEs). We performed a three-stage slack-based measure (SBM) data envelopment analysis (DEA) model combined with the stochastic frontier analysis (SFA), which considered data and contextual factors reported from the European Union (EU) to appraise 51 OPs from 16 countries. Overall, we discovered that by eliminating the contextual factors, almost 27% of the OPs (14) attained efficient procedural results. The OP “Multi-regional Spain—ERDF” is widely perceived as a benchmark, irrespective of its contextual factors, remaining robustly efficient for data perturbations ranging from 5% to 10%. The “Number of Operations Supported” is the indicator that requires attention, both with or without the removal of contextual factors. Our findings suggest that more developed regions, with a greater proportion of ICT professionals, are associated with a poor utilization and allocation of ERDF funds to promote ICT adoption in SMEs. This could be attributed to an inability of SMEs to handle the complex bureaucratic processes of submitting and executing European Regional Development Fund (ERDF) initiatives. Consequently, it is vital to provide additional assistance that streamlines the management formalities and satisfies the needs of SMEs.

Suggested Citation

  • Carla Henriques & Clara Viseu, 2022. "Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10552-:d:896514
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10552/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10552/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexander Kleibrink & Björn Niehaves & Pau Palop & Jens Sörvik & Basanta Thapa, 2015. "Regional ICT Innovation in the European Union: Prioritization and Performance (2008–2012)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(2), pages 320-333, June.
    2. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    3. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    4. Marijn G. A. Plomp & Ronald S. Batenburg & Pim Hertog, 2014. "ICT Policy to Foster Interorganisational ICT Adoption by SMEs: The Netherlands Goes Digital Case," Progress in IS, in: Jan Devos & Hendrik Landeghem & Dirk Deschoolmeester (ed.), Information Systems for Small and Medium-sized Enterprises, edition 127, pages 123-139, Springer.
    5. Haaker, Timber & Ly, Pham Thi Minh & Nguyen-Thanh, Nhan & Nguyen, Hanh Thi Hong, 2021. "Business model innovation through the application of the Internet-of-Things: A comparative analysis," Journal of Business Research, Elsevier, vol. 126(C), pages 126-136.
    6. James Tybout & David Jinkins & Daniel Yi Xu & Jonathan Eaton, 2016. "Two-sided Search in International Markets," 2016 Meeting Papers 973, Society for Economic Dynamics.
    7. Panagiota Dionysopoulou & Konstantina Tsakopoulou, 2021. "Policy Responses to Critical Issues for the Digital Transformation of Tourism SMEs: Evidence from Greece," Springer Proceedings in Business and Economics, in: Vicky Katsoni & Ciná van Zyl (ed.), Culture and Tourism in a Smart, Globalized, and Sustainable World, pages 499-510, Springer.
    8. Hazbo Skoko & Branka Krivokapic-Skoko & Marinko Skare & Arnela Ceric, 2006. "ICT Adoption Policy of Australian and Croatian SMEs," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 4(1), pages 25-40.
    9. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    10. Henderson, Dylan, 2020. "Demand-side broadband policy in the context of digital transformation: An examination of SME digital advisory policies in Wales," Telecommunications Policy, Elsevier, vol. 44(9).
    11. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    12. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    13. Hughes, Andrew & Yaisawarng, Suthathip, 2004. "Sensitivity and dimensionality tests of DEA efficiency scores," European Journal of Operational Research, Elsevier, vol. 154(2), pages 410-422, April.
    14. Giotopoulos, Ioannis & Kontolaimou, Alexandra & Korra, Efthymia & Tsakanikas, Aggelos, 2017. "What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece," Journal of Business Research, Elsevier, vol. 81(C), pages 60-69.
    15. Cenamor, Javier & Parida, Vinit & Wincent, Joakim, 2019. "How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity," Journal of Business Research, Elsevier, vol. 100(C), pages 196-206.
    16. Ruiz-Rodríguez, Francisca & Lucendo-Monedero, Angel Luis & González-Relaño, Reyes, 2018. "Measurement and characterisation of the Digital Divide of Spanish regions at enterprise level. A comparative analysis with the European context," Telecommunications Policy, Elsevier, vol. 42(3), pages 187-211.
    17. Margarita Billon & Fernando Lera-Lopez & Rocio Marco, 2016. "ICT use by households and firms in the EU: links and determinants from a multivariate perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 629-654, November.
    18. Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
    19. Reggi, Luigi & Scicchitano, Sergio, 2014. "Are EU regional digital strategies evidence-based? An analysis of the allocation of 2007–13 Structural Funds," Telecommunications Policy, Elsevier, vol. 38(5), pages 530-538.
    20. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    21. Hai Guo & Zhuen Yang & Ran Huang & Anqi Guo, 2020. "The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-25, December.
    22. António Soares & Gonçalo Santinha, 2004. "SMEs and ICTs adoption : a new challenge to Regional Policies," ERSA conference papers ersa04p435, European Regional Science Association.
    23. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    24. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    25. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    26. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    27. Juan R. Cuadrado-Roura & Antonio Garcia-Tabuenca, 2004. "ICT policies for SMEs and regional disparities. The Spanish case," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 16(1), pages 55-75, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eduardo da Silva Fernandes & Inês Hexsel Grochau & Carla Schwengber Ten Caten, 2023. "Impact Investing: Determinants of External Financing of Social Enterprises in Brazil," Sustainability, MDPI, vol. 15(15), pages 1-21, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    3. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    4. Geng Peng & Xiaodan Zhang & Fang Liu & Lijuan Ruan & Kaiyou Tian, 2021. "Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8974-8990, June.
    5. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    6. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    7. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    8. Avkiran, Necmi K., 2007. "Stability and integrity tests in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 41(3), pages 224-234, September.
    9. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    10. David C. Wheelock & Paul W. Wilson, 2000. "Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 127-138, February.
    11. Boutheina Bannour & Asma Sghaier & Mohammad Nurunnabi, 2020. "How to Choose a Nonparametric Frontier Model? Technical Efficiency of Turkish Banks Assessing Global," Global Business Review, International Management Institute, vol. 21(2), pages 348-364, April.
    12. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2012. "Environmental factors affecting Hong Kong banking: A post-Asian financial crisis efficiency analysis," Global Finance Journal, Elsevier, vol. 23(3), pages 184-201.
    13. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    14. Carla Henriques & Clara Viseu & António Trigo & Maria Gouveia & Ana Amaro, 2022. "How Efficient Is the Cohesion Policy in Supporting Small and Mid-Sized Enterprises in the Transition to a Low-Carbon Economy?," Sustainability, MDPI, vol. 14(9), pages 1-55, April.
    15. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    16. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    17. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    18. Tong Liu & Yufei Gao & Hui Li & Liping Zhang & Jiangjie Sun, 2022. "Analysis of the Operational Efficiency of Basic Medical Insurance for Urban and Rural Residents: Based on a Three-Stage DEA Model," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    19. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    20. da Cruz, Nuno Ferreira & Marques, Rui Cunha, 2014. "Revisiting the determinants of local government performance," Omega, Elsevier, vol. 44(C), pages 91-103.

    More about this item

    Keywords

    ICT; SMEs; SBM model; SFA; ERDF;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10552-:d:896514. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.