IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i3d10.1007_s11135-022-01464-z.html
   My bibliography  Save this article

Two decades of DeLone and Mclean IS success model: a scientometrics analysis

Author

Listed:
  • Nancyprabha Pushparaj

    (National Institute of Technology)

  • V. J. Sivakumar

    (National Institute of Technology)

  • Manoraj Natarajan

    (National Institute of Technology)

  • A. Bhuvaneskumar

    (National Institute of Technology)

Abstract

The DeLone and McLean IS Success Model is a widely accepted model by IS researchers for understanding and evaluating the dimension and success of a particular information system. A quantitative investigation of the IS model of success and its applications with scientometrics analysis will provide meaningful insight into the existing literature. Therefore, the study aims to give the articles published in the Web of Science database, an intellectual structure utilizing scientometrics methods. This paper uses 511 articles published between 2003 and 2021, and the results of this study provide map-related networks and thematically related clusters using visualization techniques with VOSViewer. The results show that Taiwan is the leading country, followed by the US. Computers in Human behaviour and Sustainability are the leading journals. Additionally, the content analysis results show continuation intention, adoption, and e-commerce as hot research topics that can be explored further.

Suggested Citation

  • Nancyprabha Pushparaj & V. J. Sivakumar & Manoraj Natarajan & A. Bhuvaneskumar, 2023. "Two decades of DeLone and Mclean IS success model: a scientometrics analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2469-2491, June.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01464-z
    DOI: 10.1007/s11135-022-01464-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01464-z
    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/s11135-022-01464-z?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. Fang, Jiaming & Shao, Yunfei & Wen, Chao, 2016. "Transactional quality, relational quality, and consumer e-loyalty: Evidence from SEM and fsQCA," International Journal of Information Management, Elsevier, vol. 36(6), pages 1205-1217.
    2. Hyun-Sun Ryu & Kwang Sun Ko, 2020. "Sustainable Development of Fintech: Focused on Uncertainty and Perceived Quality Issues," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    3. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    4. Kuo, Ren-Zong, 2020. "Why do people switch mobile payment service platforms? An empirical study in Taiwan," Technology in Society, Elsevier, vol. 62(C).
    5. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    6. Sun, Jonghak & Teng, James T.C., 2017. "The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale," International Journal of Information Management, Elsevier, vol. 37(5), pages 400-416.
    7. Jung, Timothy & Chung, Namho & Leue, M. Claudia, 2015. "The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park," Tourism Management, Elsevier, vol. 49(C), pages 75-86.
    8. Talukder, Md Shamim & Shen, Liang & Hossain Talukder, Md Farid & Bao, Yukun, 2019. "Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh," Technology in Society, Elsevier, vol. 56(C), pages 147-156.
    9. Stacie Petter & William DeLone & Ephraim McLean, 2008. "Measuring information systems success: models, dimensions, measures, and interrelationships," European Journal of Information Systems, Taylor & Francis Journals, vol. 17(3), pages 236-263, June.
    10. Shichao Pang & Peng Bao & Wenyuan Hao & Jaewoong Kim & Wei Gu, 2020. "Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    11. Dharmani, Pranav & Das, Satyasiba & Prashar, Sanjeev, 2021. "A bibliometric analysis of creative industries: Current trends and future directions," Journal of Business Research, Elsevier, vol. 135(C), pages 252-267.
    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. Jeong, Yujin & Park, Inchae & Yoon, Byungun, 2019. "Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 655-672.
    2. Russell B. Williams & Natasa Slak-Valek, 2019. "Pokémon GO is serious leisure that increases the touristic engagement, physical activity and sense of happiness of players," Information Technology & Tourism, Springer, vol. 21(4), pages 515-533, December.
    3. Juan F. Prados-Castillo & Miguel Ángel Solano-Sánchez & Pilar Guaita Fernández & José Manuel Guaita Martínez, 2023. "Potential of the Crypto Economy in Financial Management and Fundraising for Tourism," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    4. Antonio-José Moreno-Guerrero & María Elena Parra-González & Jesús López-Belmonte & Adrián Segura-Robles, 2022. "Science mapping analysis of “cultural” in web of science (1908–2019)," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 239-257, February.
    5. Cristina Chueca Vergara & Luis Ferruz Agudo, 2021. "Fintech and Sustainability: Do They Affect Each Other?," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    6. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    7. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    8. Jiahui Guo & Younghwan Pan, 2023. "What Factors Impact Visitors’ Intentions to Use Location-Based AR Games? An Empirical Study from Chinese Cultural Heritage Sites," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    9. Angélica Pigola & Priscila Rezende Costa, 2022. "In search of understanding about knowledge and learning on innovation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3995-4022, July.
    10. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    11. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
    12. Dacko, Scott G., 2017. "Enabling smart retail settings via mobile augmented reality shopping apps," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 243-256.
    13. Paola Clerici Maestosi & Monica Salvia & Filomena Pietrapertosa & Federica Romagnoli & Michela Pirro, 2024. "Implementation of Positive Energy Districts in European Cities: A Systematic Literature Review to Identify the Effective Integration of the Concept into the Existing Energy Systems," Energies, MDPI, vol. 17(3), pages 1-27, February.
    14. Hui Li & Weishu Liu, 2020. "Same same but different: self-citations identified through Scopus and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2723-2732, September.
    15. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    16. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    17. Nguyen Thi Nha Trang & Thanh-Thuy Nguyen & Hong V. Pham & Thi Thu Anh Cao & Thu Huong Trinh Thi & Javad Shahreki, 2022. "Impacts of Collaborative Partnership on the Performance of Cold Supply Chains of Agriculture and Foods: Literature Review," Sustainability, MDPI, vol. 14(11), pages 1-28, May.
    18. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    19. Archita Pal Choudhury & Amit Kundu & Dev Narayan Sarkar & Arabinda Bhattacharya, 2023. "Practitioners’ perspectives on the marketing strategies in Indian banking sector: a framework for strategy formulation," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 146-177, March.
    20. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.

    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:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01464-z. 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.