IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v43y2023i1d10.1007_s10669-022-09867-x.html
   My bibliography  Save this article

Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Author

Listed:
  • Bokolo Anthony Jnr

    (Institute for Energy Technology)

  • Sobah Abbas Petersen

    (Norwegian University of Science and Technology, NTNU)

Abstract

Presently cities are undergoing changes and transformations due to the adoption of information and communications technology. Enterprise Architecture (EA) is one of the approaches adopted by practitioners and researchers to facilitate smart city development as it can enhance the effectiveness of cities’ digital resources and sustainability capabilities. But, despite several literature on EA, studies on the adoption of EA to improve the sustainability of cities are still at the early stage. Besides, there are fewer studies that provided evidence on the adoption of EA to make cities sustainable grounded on established theoretical models and quantitative data. Therefore, this study aims to provide an understanding on the adoption of EA by different practitioners involved in a smart city project. Knowledge transfer and support services are integrated as new external variables needed to improve practitioners’ behavior intention and actual adoption of EA in making cities smarter. A model is developed grounded on an extension of Technology Acceptance Model (TAM), and data were collected via a cross-country survey. Partial least squares-structural equation modeling was employed to analyze the data. Findings from this study offer implications for research and practice and provide opportunities for future research.

Suggested Citation

  • Bokolo Anthony Jnr & Sobah Abbas Petersen, 2023. "Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter," Environment Systems and Decisions, Springer, vol. 43(1), pages 36-53, March.
    • Handle: RePEc:spr:envsyd:v:43:y:2023:i:1:d:10.1007_s10669-022-09867-x
    DOI: 10.1007/s10669-022-09867-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-022-09867-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10669-022-09867-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen Adams & Steven Greenspan & Maria Velez-Rojas & Serge Mankovski & Peter A. Beling, 2019. "Data-driven simulation for energy consumption estimation in a smart home," Environment Systems and Decisions, Springer, vol. 39(3), pages 281-294, September.
    2. David E. McNabb & J. Thad Barnowe, 2009. "Trends Shaping Public Sector Transformation: Knowledge Management, E-Government and Enterprise Architecture," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 25-34.
    3. Maxime Bernaert & Geert Poels & Monique Snoeck & Manu Backer, 2014. "Enterprise Architecture for Small and Medium-Sized Enterprises: A Starting Point for Bringing EA to SMEs, Based on Adoption Models," Progress in IS, in: Jan Devos & Hendrik Landeghem & Dirk Deschoolmeester (ed.), Information Systems for Small and Medium-sized Enterprises, edition 127, pages 67-96, Springer.
    4. R. Cantelmi & G. Di Gravio & R. Patriarca, 2021. "Reviewing qualitative research approaches in the context of critical infrastructure resilience," Environment Systems and Decisions, Springer, vol. 41(3), pages 341-376, September.
    5. Akbar Nabiollahi & Rose Alinda Alias & Shamsul Sahibuddin, 2011. "Involvement of Service Knowledge Management System in Integration of ITIL V3 and Enterprise Architecture," American Journal of Economics and Business Administration, Science Publications, vol. 3(1), pages 165-170, January.
    6. Hamood Al-Kharusi & Suraya Miskon & Mahadi Bahari, 2021. "Enterprise architects and stakeholders alignment framework in enterprise architecture development," Information Systems and e-Business Management, Springer, vol. 19(1), pages 137-181, March.
    7. Matthias Lange & Jan Mendling & Jan Recker, 2016. "An empirical analysis of the factors and measures of Enterprise Architecture Management success," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(5), pages 411-431, September.
    8. Zohreh Pourzolfaghar & Viviana Bastidas & Markus Helfert, 2020. "Standardisation of enterprise architecture development for smart cities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1336-1357, December.
    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. Bokolo Anthony Jnr & Sobah Abbas Petersen, 2023. "Validation of a Developed Enterprise Architecture Framework for Digitalisation of Smart Cities: a Mixed-Mode Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1702-1733, June.
    2. Federico Antonello & Piero Baraldi & Enrico Zio & Luigi Serio, 2022. "A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures," Environment Systems and Decisions, Springer, vol. 42(3), pages 436-449, September.
    3. Raziye Norouzi Masir & Mohammad Ataei & Farhang Sereshki, 2024. "A novel index for shearer system resilience in underground coal mines based on the operational environment," Journal of Risk and Reliability, , vol. 238(3), pages 475-501, June.
    4. Corinna Köpke & Jennifer Mielniczek & Christoph Roller & Kerstin Lange & Frank Sill Torres & Alexander Stolz, 2023. "Resilience management processes in the offshore wind industry: schematization and application to an export-cable attack," Environment Systems and Decisions, Springer, vol. 43(2), pages 161-177, June.
    5. Chenliang Deng & Linxia Feng & Qingling Ye, 2024. "Smart Physical Education: Governance of School Physical Education in the Era of New Generation of Information Technology and Knowledge," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13857-13889, September.
    6. M. J.M. Razi & N. S.A. Karim, 2011. "Investigating Individuals' Intention to be Involved in Knowledge Management Process," American Journal of Economics and Business Administration, Science Publications, vol. 3(3), pages 444-449, September.
    7. Federico Antonello & Piero Baraldi & Enrico Zio & Luigi Serio, 2022. "A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data," Environment Systems and Decisions, Springer, vol. 42(2), pages 177-188, June.
    8. Yiwei Gong & Marijn Janssen, 2023. "Why Organizations Fail in Implementing Enterprise Architecture Initiatives?," Information Systems Frontiers, Springer, vol. 25(4), pages 1401-1419, August.
    9. Perera, A.T.D. & Hong, Tianzhen, 2023. "Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    10. Zachary A. Collier & James H. Lambert & Igor Linkov, 2021. "Integrating data from physical and social science to address emerging societal challenges," Environment Systems and Decisions, Springer, vol. 41(3), pages 331-333, September.
    11. Danilo Magno Marchiori & Emerson Wagner Mainardes & Ricardo José Rodrigues, 2024. "Bridging Culture and Technology: A Study of E-Government Adoption," Public Organization Review, Springer, vol. 24(3), pages 885-905, September.
    12. Milena-Jael Silva-Morales & Sabine Carton, 2014. "L'influence des Artefacts sur l'évolution routines dans les centres de services S.I. : une étude de cas," Post-Print hal-01809617, HAL.
    13. Aurona Gerber & Pierre le Roux & Alta van der Merwe, 2020. "Enterprise Architecture as Explanatory Information Systems Theory for Understanding Small- and Medium-Sized Enterprise Growth," Sustainability, MDPI, vol. 12(20), pages 1-31, October.
    14. Grafelmann, Michaela & Zlotos, Constatin & Lange, Ann-Kathrin & Jahn, Carlos, 2020. "Modelling the IT and business process landscapes at inland intermodal terminals," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 159-179, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    15. Jesus Beyza & Jose M. Yusta, 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures," Energies, MDPI, vol. 14(7), pages 1-18, April.
    16. Moreno Jaramillo, Andres F. & Laverty, David M. & Morrow, D. John & Martinez del Rincon, Jesús & Foley, Aoife M., 2021. "Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks," Renewable Energy, Elsevier, vol. 179(C), pages 445-466.
    17. Zachary A. Collier & James H. Lambert & Igor Linkov, 2019. "Advances in machine learning and decision making," Environment Systems and Decisions, Springer, vol. 39(3), pages 247-248, September.
    18. Bokolo Anthony, 2023. "Deployment of distributed ledger and decentralized technology for transition to smart industries," Environment Systems and Decisions, Springer, vol. 43(2), pages 298-319, June.
    19. Cristina Allende-Prieto & Jorge Roces-García & Luis Ángel Sañudo-Fontaneda, 2024. "The High-Resolution Calibration of the Topographic Wetness Index Using PAZ Satellite Radar Data to Determine the Optimal Positions for the Placement of Smart Sustainable Drainage Systems (SuDS) in Urb," Sustainability, MDPI, vol. 16(2), pages 1-12, January.
    20. Karakoc, Deniz Berfin & Barker, Kash & González, Andrés D., 2023. "Analyzing the tradeoff between vulnerability and recoverability investments for interdependent infrastructure networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

    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:spr:envsyd:v:43:y:2023:i:1:d:10.1007_s10669-022-09867-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.