IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11238-d909568.html
   My bibliography  Save this article

Analysis of the Social Capital in a Technological System of a Smart City Using a PLS-SEM Model

Author

Listed:
  • Juliana Mejia

    (Faculty of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

  • Eva Cristina Manotas

    (Organization Engineering Department, Universidad Nacional de Colombia, Medellín 050034, Colombia)

  • Santiago Quintero

    (Faculty of Engineering, Universidad Pontificia Bolivariana, Medellín 050031, Colombia)

Abstract

In this paper, social capital was analyzed through the lens of the resources and capabilities theory, understanding it as a capability that has a role in the performance of the Smart City. Social capital relates to the technological capabilities and the technological learning process. The objective of this investigation was to build a representation model of the social capital resources and technological learning, taking social capital as a capability of the Smart City. First, on a methodological level, a preliminary exercise that shows the relation and the gaps between the concepts and the process to build the model are presented. Later, the Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to build the conceptual and measured model. Based on the configuration of the tangible variables, the model was tested with the information provided by the final users of the public urban bicycle system of the Medellín–EnCicla technological system. The impact of technological learning is interpreted by relating it to the sources of social capital, to its resources (trust, social interaction, and shared vision), and to the technological system chosen. As a result, the construction of an exploratory model is presented that interprets the resources of social capital and their relation to technological learning in a smart city. The investigation aims to contribute to the decision-making exercise in the public policies regarding the sustainable mobility of the smart city that was the object of study.

Suggested Citation

  • Juliana Mejia & Eva Cristina Manotas & Santiago Quintero, 2022. "Analysis of the Social Capital in a Technological System of a Smart City Using a PLS-SEM Model," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11238-:d:909568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11238/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    2. Malerba, Franco, 1992. "Learning by Firms and Incremental Technical Change," Economic Journal, Royal Economic Society, vol. 102(413), pages 845-859, July.
    3. Sławomira Hajduk, 2020. "Using multivariate statistical methods to assess the urban smartness on the example of selected European cities," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-17, December.
    4. von Hippel, Eric & Tyre, Marcie J., 1995. "How learning by doing is done: problem identification in novel process equipment," Research Policy, Elsevier, vol. 24(1), pages 1-12, January.
    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. Alhusen, Harm & Bennat, Tatjana & Bizer, Kilian & Cantner, Uwe & Horstmann, Elaine & Kalthaus, Martin & Proeger, Till & Sternberg, Rolf & Töpfer, Stefan, 2021. "A New Measurement Conception for the ‘Doing-Using-Interacting’ Mode of Innovation," Research Policy, Elsevier, vol. 50(4).
    2. Agathe Gilain & Pascal Le Masson & Benoit Weil, 2018. "Managing Learning Curves In The Unknown: From ‘Learning By Doing’ To ‘Learning By Designing’," Post-Print hal-01900961, HAL.
    3. Brautzsch, Hans-Ulrich & Günther, Jutta & Loose, Brigitte & Ludwig, Udo & Nulsch, Nicole, 2015. "Can R&D subsidies counteract the economic crisis? – Macroeconomic effects in Germany," Research Policy, Elsevier, vol. 44(3), pages 623-633.
    4. Natarajan Balasubramanian & Marvin B. Lieberman, 2010. "Industry learning environments and the heterogeneity of firm performance," Strategic Management Journal, Wiley Blackwell, vol. 31(4), pages 390-412, April.
    5. Tuba Bakıcı & Esteve Almirall & Jonathan Wareham, 2013. "A Smart City Initiative: the Case of Barcelona," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 135-148, June.
    6. Arie Y Lewin & Silvia Massini & Carine Peeters, 2020. "Absorptive capacity, socially enabling mechanisms, and the role of learning from trial and error experiments: A tribute to Dan Levinthal’s contribution to international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(9), pages 1568-1579, December.
    7. Andrew Clarke & Lynda Cheshire, 2018. "The post-political state? The role of administrative reform in managing tensions between urban growth and liveability in Brisbane, Australia," Urban Studies, Urban Studies Journal Limited, vol. 55(16), pages 3545-3562, December.
    8. Paola Panuccio, 2019. "Smart Planning: From City to Territorial System," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    9. Cristiano, Antonelli & Scellato, Giuseppe, 2007. "Complexity and Innovation: Social Interactions and Firm Level Total Factor Productivity," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200709, University of Turin.
    10. Muhammad Atiq Ur Rehman Tariq & Alavaiola Faumatu & Maha Hussein & Muhammad Laiq Ur Rahman Shahid & Nitin Muttil, 2020. "Smart City-Ranking of Major Australian Cities to Achieve a Smarter Future," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    11. Ben Klemens, 2021. "Attributing Value to Patents and Trademarks in Complex Production Chains," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 842-875, June.
    12. Lionel Nesta & Vincent Mangematin, 2002. "Industry Life Cycle, Knowledge Generation and Technological Networks," Grenoble Ecole de Management (Post-Print) hal-03398092, HAL.
    13. Sabina Baraniewicz-Kotasińska, 2022. "The Scandinavian Third Way as a Proposal for Sustainable Smart City Development—A Case Study of Aarhus City," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    14. World Bank, 2008. "Harnessing Competitiveness for Stronger Inclusive Growth : Bangladesh Second Investment Climate Assessment," World Bank Publications - Reports 8025, The World Bank Group.
    15. J H Chen & T S Jan, 2005. "A system dynamics model of the semiconductor industry development in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1141-1150, October.
    16. Ari-Veikko Anttiroiko, 2016. "City-as-a-Platform: The Rise of Participatory Innovation Platforms in Finnish Cities," Sustainability, MDPI, vol. 8(9), pages 1-31, September.
    17. Anthony McLean & Harriet Bulkeley & Mike Crang, 2016. "Negotiating the urban smart grid: Socio-technical experimentation in the city of Austin," Urban Studies, Urban Studies Journal Limited, vol. 53(15), pages 3246-3263, November.
    18. Mathew, Nanditha & Paily, George, 2020. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," MERIT Working Papers 2020-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Quitzow, Leslie & Rohde, Friederike, 2022. "Imagining the smart city through smart grids? Urban energy futures between technological experimentation and the imagined low-carbon city," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 59(2), pages 341-359.
    20. No, Angela, 2008. "Cities and Growth: Knowledge Spillovers in the Adoption of Advanced Manufacturing Technologies," The Canadian Economy in Transition 2008018e, Statistics Canada, Economic Analysis Division.

    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:18:p:11238-:d:909568. 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.