IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i3d10.1007_s11135-022-01461-2.html
   My bibliography  Save this article

Recommendations for improving research quality: relationships among constructs, verbs in hypotheses, theoretical perspectives, and triangulation

Author

Listed:
  • Gjoko Stamenkov

    (South East European University)

Abstract

The purpose of this paper is to suggest recommendations for improving research quality and theory development by addressing four issues. Two of them concern hypotheses, their statements, and observed inconsistencies found in articles; the other two address issues related to theoretical perspectives and triangulation. We used a purposive sampling of scientific fields and articles that support and ground the ideas of this general review. This study clarifies inconsistent opposite relationships among variables found in theoretical models, discusses the usage of verbs in hypotheses, focuses on the cause-and-effect relationship between variables, identifies ways in which to rectify inconsistencies by including additional theoretical perspectives, and reminds the research community about triangulation. This paper concludes with the implications for research, practice, and society.

Suggested Citation

  • Gjoko Stamenkov, 2023. "Recommendations for improving research quality: relationships among constructs, verbs in hypotheses, theoretical perspectives, and triangulation," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2923-2946, June.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01461-2
    DOI: 10.1007/s11135-022-01461-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01461-2
    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/s11135-022-01461-2?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. Alsajjan, Bander & Dennis, Charles, 2010. "Internet banking acceptance model: Cross-market examination," Journal of Business Research, Elsevier, vol. 63(9-10), pages 957-963, September.
    2. Anton Oleinik, 2011. "Mixing quantitative and qualitative content analysis: triangulation at work," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 859-873, June.
    3. Yang Liu, 2022. "Paradigmatic Compatibility Matters: A Critical Review of Qualitative-Quantitative Debate in Mixed Methods Research," SAGE Open, , vol. 12(1), pages 21582440221, March.
    4. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    5. Sarkar, Subhro & Chauhan, Sumedha & Khare, Arpita, 2020. "A meta-analysis of antecedents and consequences of trust in mobile commerce," International Journal of Information Management, Elsevier, vol. 50(C), pages 286-301.
    6. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    7. Achim Goerres & Katrin Prinzen, 2012. "Using mixed methods for the analysis of individuals: a review of necessary and sufficient conditions and an application to welfare state attitudes," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 415-450, February.
    8. Andrew Burton-Jones & Ephraim R McLean & Emmanuel Monod, 2015. "Theoretical perspectives in IS research: from variance and process to conceptual latitude and conceptual fit," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(6), pages 664-679, November.
    9. Norman Blaikie, 1991. "A critique of the use of triangulation in social research," Quality & Quantity: International Journal of Methodology, Springer, vol. 25(2), pages 115-136, May.
    10. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    11. Joanna Sale & Lynne Lohfeld & Kevin Brazil, 2002. "Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(1), pages 43-53, February.
    12. Poole, Marshall Scott & Van de Ven, Andrew H. & Dooley, Kevin & Holmes, Michael E., 2000. "Organizational Change and Innovation Processes: Theory and Methods for Research," OUP Catalogue, Oxford University Press, number 9780195131987, Decembrie.
    13. M. Heyvaert & B. Maes & P. Onghena, 2013. "Mixed methods research synthesis: definition, framework, and potential," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 659-676, February.
    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. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    2. Alshehri, Abdullah, 2025. "When the recipe is more important than the ingredients, understanding factors affecting customer loyalty in unmanned convenience store using fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    3. Nurlia Dewi & Willy Abdillah & Muhartini Salim & Slamet Widodo, 2021. "The Role of Leadership in Implementation Public Information System of Local Government Institutions in Indonesia," International Review of Management and Marketing, Econjournals, vol. 11(6), pages 1-9.
    4. A. Maes & G. Poels, 2006. "Development of a user evaluations based quality model for conceptual modeling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/406, Ghent University, Faculty of Economics and Business Administration.
    5. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    6. Khire Rushikesh Ulhas & Jung-Yu Lai & Juite Wang, 2016. "Impacts of collaborative IS on software development project success in Indian software firms: a service perspective," Information Systems and e-Business Management, Springer, vol. 14(2), pages 315-336, May.
    7. Yogesh K. Dwivedi & David Wastell & Sven Laumer & Helle Zinner Henriksen & Michael D. Myers & Deborah Bunker & Amany Elbanna & M. N. Ravishankar & Shirish C. Srivastava, 2015. "Research on information systems failures and successes: Status update and future directions," Information Systems Frontiers, Springer, vol. 17(1), pages 143-157, February.
    8. Davern, Michael J. & Wilkin, Carla L., 2010. "Towards an integrated view of IT value measurement," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 42-60.
    9. Ugljesa Marjanovic & Milan Delić & Bojan Lalic, 2016. "Developing a model to assess the success of e-learning systems: evidence from a manufacturing company in transitional economy," Information Systems and e-Business Management, Springer, vol. 14(2), pages 253-272, May.
    10. Kim, Changsu & Oh, Eunhae & Shin, Namchul & Chae, Myungsin, 2009. "An empirical investigation of factors affecting ubiquitous computing use and U-business value," International Journal of Information Management, Elsevier, vol. 29(6), pages 436-448.
    11. Stockdale, Rosemary & Standing, Craig, 2006. "An interpretive approach to evaluating information systems: A content, context, process framework," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1090-1102, September.
    12. Jani Merikivi & Antti Salovaara & Matti Mäntymäki & Lilong Zhang, 2018. "On the way to understanding binge watching behavior: the over-estimated role of involvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 111-122, February.
    13. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    14. Akter, Shahriar & Wamba, Samuel Fosso & D’Ambra, John, 2019. "Enabling a transformative service system by modeling quality dynamics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 210-226.
    15. Morteza Ghobakhloo & Sai Hong Tang, 2015. "Information system success among manufacturing SMEs: case of developing countries," Information Technology for Development, Taylor & Francis Journals, vol. 21(4), pages 573-600, October.
    16. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    17. Mi Jin Noh & Kyung Tag Lee, 2016. "An analysis of the relationship between quality and user acceptance in smartphone apps," Information Systems and e-Business Management, Springer, vol. 14(2), pages 273-291, May.
    18. Iannacci, Federico & Cornford, Tony, 2017. "Unravelling casual and temporal influences underpinning monitoring systems success: a typological approach," LSE Research Online Documents on Economics 84049, London School of Economics and Political Science, LSE Library.
    19. Vu Thi Thanh Binh & Nhat-Minh Tran & Manh-Chien Vu, 2022. "The Effect of Organizational Culture on the Quality of Accounting Information Systems: Evidence From Vietnam," SAGE Open, , vol. 12(3), pages 21582440221, September.
    20. Yi-Shun Wang & Shin-jeng Lin & Ci-Rong Li & Timmy H. Tseng & Hsien-Ta Li & Jia-Yang Lee, 2018. "Developing and validating a physical product e-tailing systems success model," Information Technology and Management, Springer, vol. 19(4), pages 245-257, December.

    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_s11135-022-01461-2. 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.