IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i15p2607-d872147.html
   My bibliography  Save this article

Composite Indicator of the Organisational Information and Communication Technologies Infrastructure—A Novel Statistical Index Tool

Author

Listed:
  • Mladen Čudanov

    (Faculty of Organizational Sciences, University of Belgrade, Jove Ilica 154, 11 000 Belgrade, Serbia)

  • Aleksandar Rakićević

    (Faculty of Organizational Sciences, University of Belgrade, Jove Ilica 154, 11 000 Belgrade, Serbia)

  • Gheorghe Savoiu

    (Faculty of Economic Sciences and Law, University of Pitesti, 1st, Targu din Vale Street, 110040 Pitesti, Romania)

Abstract

This paper proposes a tool for objective evaluation of organisations’ information and communication technologies (ICT) infrastructure development level: Composite Indicator of the Organisational Information and Communication Infrastructure—CIOICTI. Based on separate research in 68 different companies, it aggregates hardware, software and humanware aspects of ICT development in organisations, especially valuing companies with synergetic aspects. It consists of six linear and non-linear indicator components, each designed to evaluate one specific aspect of ICT development, based on the weighted sum principle. The proposed CIOICTI examines ICT infrastructure as a necessary but not sufficient condition for successful ICT usage in business performance improvement. The obtained CIOICTI values are summarised in the distribution and tested for normality. Results are tested on the data from observed companies, averaged according to company size and industry and benchmarked. The proposed composite indicator can be used as an objective tool for researchers and practitioners to assess the level of ICT development for benchmarking with other companies, planning organisational changes or assessing infrastructural requirements for planning and implementation of ICT related projects in a business organisation.

Suggested Citation

  • Mladen Čudanov & Aleksandar Rakićević & Gheorghe Savoiu, 2022. "Composite Indicator of the Organisational Information and Communication Technologies Infrastructure—A Novel Statistical Index Tool," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2607-:d:872147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/15/2607/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/15/2607/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    2. Marjorie Lecerf & Nessrine Omrani, 2020. "SME Internationalization: the Impact of Information Technology and Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 805-824, June.
    3. Hashmat Khan & Marjorie Santos, 2002. "Contribution of ICT Use to Output and Labour-Productivity Growth in Canada," Staff Working Papers 02-7, Bank of Canada.
    4. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    5. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    6. José Alberto Bayo-Moriones & Gilberto Carvalho-Vasconcelos & Fernando Lera-López, 2005. "A firm-level analysis of differences between adopters and non-adopters of ICT," ERSA conference papers ersa05p645, European Regional Science Association.
    7. Young Bong Chang & Vijay Gurbaxani, 2013. "An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition," Information Systems Research, INFORMS, vol. 24(3), pages 561-578, September.
    8. Del Gaudio, Belinda L. & Porzio, Claudio & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2021. "How do mobile, internet and ICT diffusion affect the banking industry? An empirical analysis," European Management Journal, Elsevier, vol. 39(3), pages 327-332.
    9. L. Becchetti & David Bedoya & L. Paganetto, 2003. "ICT Investment, Productivity and Efficiency: Evidence at Firm Level Using a Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 20(2), pages 143-167, September.
    10. Belorgey, Nicolas & Lecat, Remy & Maury, Tristan-Pierre, 2006. "Determinants of productivity per employee: An empirical estimation using panel data," Economics Letters, Elsevier, vol. 91(2), pages 153-157, May.
    11. Ruiz, Francisco & Cabello, José M. & Pérez-Gladish, Blanca, 2018. "Building Ease-of-Doing-Business synthetic indicators using a double reference point approach," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 130-140.
    12. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    13. Ronia Hawash & Guenter Lang, 2020. "Does the digital gap matter? Estimating the impact of ICT on productivity in developing countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 189-209, June.
    14. Mabert, Vincent A. & Soni, Ashok & Venkataramanan, M. A., 2003. "The impact of organization size on enterprise resource planning (ERP) implementations in the US manufacturing sector," Omega, Elsevier, vol. 31(3), pages 235-246, June.
    Full references (including those not matched with items on IDEAS)

    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. Panagiotis Artelaris, 2022. "A development index for the Greek regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1261-1281, June.
    2. Matheus Pereira Libório & Lívia Maria Leite Silva & Petr Iakovlevitch Ekel & Letícia Ribeiro Figueiredo & Patrícia Bernardes, 2022. "Consensus-Based Sub-Indicator Weighting Approach: Constructing Composite Indicators Compatible with Expert Opinion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1073-1099, December.
    3. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    4. Khatab Alqararah, 2023. "Assessing the robustness of composite indicators: the case of the Global Innovation Index," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-22, December.
    5. Samy Katumba & Julia Kadt & Mark Orkin & Paul Fatti, 2022. "Construction of a Reflective Quality of Life Index for Gauteng Province in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 373-408, November.
    6. Carmen García-Peña & Moneyba González-Medina & Jose Manuel Diaz-Sarachaga, 2021. "Assessment of the Governance Dimension in the Frame of the 2030 Agenda: Evidence from 100 Spanish Cities," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    7. José Manuel Cabello & Francisco Ruiz & Blanca Pérez-Gladish, 2021. "An Alternative Aggregation Process for Composite Indexes: An Application to the Heritage Foundation Economic Freedom Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 443-467, January.
    8. Lola Martin-Moro & Meltem Öztürk & Florence Laufer, 2022. "Modelling the Prison Life Index with Value Focused Thinking Methodology," Working Papers hal-03851980, HAL.
    9. Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers 336986, Fondazione Eni Enrico Mattei (FEEM).
    10. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    11. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    12. Matheus Pereira Libório & João Francisco Abreu & Petr Iakovlevitch Ekel & Alexei Manso Correa Machado, 2023. "Effect of sub-indicator weighting schemes on the spatial dependence of multidimensional phenomena," Journal of Geographical Systems, Springer, vol. 25(2), pages 185-211, April.
    13. Matheus Pereira Libório & Oseias da Silva Martinuci & Alexei Manso Correa Machado & Renata de Mello Lyrio & Patrícia Bernardes, 2022. "Time–Space Analysis of Multidimensional Phenomena: A Composite Indicator of Social Exclusion Through k-Means," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 569-591, January.
    14. Marta Ewa Kuc-Czarnecka & Magdalena Olczyk & Marek Zinecker, 2021. "Improvements and Spatial Dependencies in Energy Transition Measures," Energies, MDPI, vol. 14(13), pages 1-22, June.
    15. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2020. "A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain," Mathematics, MDPI, vol. 8(5), pages 1-21, May.
    16. Marco Dugato & Francesco Calderoni & Gian Maria Campedelli, 2020. "Measuring Organised Crime Presence at the Municipal Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 237-261, January.
    17. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    18. Bacchini Fabio & Baldazzi Barbara & De Carli Rita & Di Biagio Lorenzo & Savioli Miria & Sorvillo Maria Pia & Tinto Alessandra, 2021. "The Evolution of the Italian Framework to Measure Well-Being," Journal of Official Statistics, Sciendo, vol. 37(2), pages 317-339, June.
    19. Alexei Manso Correa Machado & Petr Iakovlevitch Ekel & Matheus Pereira Libório, 2023. "Goal-based participatory weighting scheme: balancing objectivity and subjectivity in the construction of composite indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4387-4407, October.
    20. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.

    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:jmathe:v:10:y:2022:i:15:p:2607-:d:872147. 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.