The DOI matches its Crossref record; 142 of the 145 references it cites were found in a registry or an index.
Theoretical perspectives in IS research: from variance and process to conceptual latitude and conceptual fit
Abstract
There has been growing interest in theory building in Information Systems (IS) research. We extend this literature by examining theory building perspectives. We define a perspective as a researcher’s choice of the types of concepts and relationships used to construct a theory, and we examine three perspectives – process, variance, and systems. We contribute by clarifying these perspectives and explaining how they can be used more flexibly in future research. We illustrate the value of this more flexible approach by showing how researchers can use different theoretical perspectives to critique and extend an existing theoretical model (in our case, the IS Success Model). Overall, we suggest a shift from the traditional process-variance dichotomy to a broader view defined by conceptual latitude (the types of concepts and relationships available) and conceptual fit (the types of concepts and relationships appropriate for a given study). We explain why this shift should help researchers as they engage in the knowledge generation process.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Configurational perspectives align well with systems theorizing, which underscores the interactions within a system and its environment, highlighting emergent properties (Burton-Jones et al., 2015; Sarker et al., 2019).”
From Sustaining the Crypto Commons: A Configurational Systems Perspective on Blockchain and Cryptocurrency Governance (2024) · cites this paper as Burton-Jones et al., 2015
In the citing paper
“On the other hand, the systems perspective encompasses how components interact to sustain a system (Burton-Jones et al., 2015; Sarker et al., 2019).”
From Sustaining the Crypto Commons: A Configurational Systems Perspective on Blockchain and Cryptocurrency Governance (2024) · cites this paper as Burton-Jones et al., 2015
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789
(1984) · Cited by 21,166
Women, Fire, and Dangerous Things
Lakoff, G. P. (1987) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226471013.001.0001 · Cited by 13,358
Hepburn, R. W., Heidegger, M., Macquarrie, J., & Robinson, E. (1927) · Medical Entomology and Zoology · Cited by 12,201
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791
Self-citationInformation Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Self-citationAnalyzing the Past to Prepare for the Future: Writing a Literature Review
Webster, J., & Watson, R. T. (2002) · MIS Quarterly · doi:10.2307/4132319 · Cited by 7,449
Research works printed but not linked: 10
- Ashby R, 1958, Cybernetica, 1, 83
- Campbell DT, 1995, Personality Research, Methods, and Theory: A Festschrift Honoring, 145
- Dubin R, 1978, Theory Building (Revised Edition)
- Edstrom O, 1973, Man-Computer Decision Making
- Glaser BG, 1967, The Discovery of Grounded Theory
- Kant I, 1781, The Critique of Pure Reason
- Kozlowski SWJ, 2000, Multilevel Theory, Research, and Methods in Organizations, 3
- Schutz A, 1973, Collected Papers, 48
- Weber R, 1987, Journal of Information Systems, 1, 3
- Webster J, 2002, MIS Quarterly, 26, xiii
Cited by
Sorted by citations
Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512
Getting value from Business Intelligence systems: A review and research agenda
Trieu, V.-H. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.09.019 · Cited by 360
Organizational information security policies: a review and research framework
Cram, W. A., Proudfoot, J. G., & D’Arcy, J. (2017) · European Journal of Information Systems · doi:10.1057/s41303-017-0059-9 · Cited by 267
Big-Data Business Models: A Critical Literature Review and Multi-Perspective Research Framework
Wiener, M. J., Saunders, C., & Marabelli, M. (2019) · Journal of Information Technology · doi:10.1177/0268396219896811 · Cited by 170
Wilden, R., Devinney, T. M., & Dowling, G. R. (2016) · Academy of Management Annals · doi:10.1080/19416520.2016.1161966 · Cited by 413
A systematic analysis of failures in protecting personal health data: A scoping review
Pool, J., Akhlaghpour, S., Fatehi, F., & Burton‐Jones, A. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102719 · Cited by 181
Self-citationConceptualising redundancy and flexibility towards supply chain robustness and resilience
Mackay, J., Munoz, A., & Pepper, M. (2019) · Journal of Risk Research · doi:10.1080/13669877.2019.1694964 · Cited by 156
Is IT Changing the World? Conceptions of Causality for Information Systems Theorizing1
Markus, M. L., & Rowe, F. (2018) · MIS Quarterly · doi:10.25300/misq/2018/12903 · Cited by 122
Algorithmic decision-making and system destructiveness: A case of automatic debt recovery
Rinta-Kahila, T., Someh, I., Gillespie, N. A., Indulska, M., & Gregor, S. D. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1960905 · Cited by 138
Issues, challenges, and a proposed theoretical core of agile software development research
Baham, C., & Hirschheim, R. (2021) · Information Systems Journal · doi:10.1111/isj.12336 · Cited by 101
Kisekka, V., & Giboney, J. S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9014 · Cited by 101
The Vicious Circles of Skill Erosion: A Case Study of Cognitive Automation
Rinta-Kahila, T., The University of Queensland Business School, Penttinen, E., Aalto University School of Business, Salovaara, A., Aalto University / University of Helsinki, Soliman, W., University of Agder, N. /. U. O. J., Ruissalo, J., & Aalto University School of Business (2023) · Journal of the Association for Information Systems · doi:10.17705/1jais.00829 · Cited by 86
The process of information systems theorizing as a discursive practice
Hassan, N. R., Mathiassen, L., & Lowry, P. B. (2019) · Journal of Information Technology · doi:10.1177/0268396219832004 · Cited by 75
Theory building is neither an art nor a science. It is a craft
Rivard, S. (2020) · Journal of Information Technology · doi:10.1177/0268396220911938 · Cited by 69
Chatterjee, S., Sarker, S., Lee, M. J., Xiao, X., & Elbanna, A. R. (2020) · Information Systems Journal · doi:10.1111/isj.12320 · Cited by 91
Bringing Context Inside Process Research with Digital Trace Data
Pentland, B. T., Recker, J., Wolf, J. R., & Wyner, G. M. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00635 · Cited by 60
Next-Generation Information Systems Theorizing: A Call to Action
Burton‐Jones, A., Butler, B. S., Scott, S., & Xu, S. X. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15434 · Cited by 73
Self-citationUnderstanding the Why, What, and How of Theories in IS Research
Mueller, B., & Urbach, N. (2017) · Communications of the Association for Information Systems · doi:10.17705/1cais.04117 · Cited by 57
Against Theory: With Apologies to Feyerabend
Hirschheim, R. (2019) · Journal of the Association for Information Systems · doi:10.17705/1jais.00569 · Cited by 51
An extension of the theory of technology dominance: Capturing the underlying causal complexity
Sutton, S., Arnold, V., & Holt, M. (2023) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2023.100626 · Cited by 32
Vaghefi, I., Negoita, B., & Lapointe, L. (2022) · Information Systems Research · doi:10.1287/isre.2022.1109 · Cited by 59
Fang, Y., Lim, K. H., Qian, Y. X., & Feng, B. (2018) · MIS Quarterly · doi:10.25300/misq/2018/12749 · Cited by 50
Cheikh‐Ammar, M. (2020) · Information & Management · doi:10.1016/j.im.2020.103368 · Cited by 51
The Pursuit of Innovative Theory in the Digital Age
Grover, V., & Lyytinen, K. (2022) · Journal of Information and Technology · doi:10.1177/02683962221077112 · Cited by 39
Combining variance and process in information systems research: Hybrid approaches
de Guinea, A. O., & Webster, J. (2017) · Information and Organization · doi:10.1016/j.infoandorg.2017.06.002 · Cited by 43
The Multiplex Nature of the Customer Representative Role in Agile Information Systems Development
Maruping, L. M., & Matook, S. (2020) · MIS Quarterly · doi:10.25300/misq/2020/12284 · Cited by 42
Toward a stage theory of the development of employees’ information security behavior
Karjalainen, M., Siponen, M. T., & Sarker, S. (2020) · Computers & Security · doi:10.1016/j.cose.2020.101782 · Cited by 42
Kankanhalli, A., Xia, Q., & Zhao, X. (2021) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00152 · Cited by 45
Theories in Business and Information Systems Engineering
Bichler, M., Frank, U., Avison, D., Malaurent, J., Fettke, P., Hovorka, D. S., Krämer, J., Schnurr, D., Müller, B., Suhl, L. M., et al. (2016) · Business & Information Systems Engineering · doi:10.1007/s12599-016-0439-z · Cited by 41
Mutual Understanding in Information Systems Development: Changes Within and Across Projects1
Jenkin, T. A., Chan, Y. E., & Sabherwal, R. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13980 · Cited by 44
Sun, Y., Tan, C., Lim, K. H., Liang, T., & Yeh, Y. (2024) · Information Systems Journal · doi:10.1111/isj.12497 · Cited by 43
Parthiban, R., Sun, R., Qureshi, I., & Bandyopadhyay, S. (2024) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101836 · Cited by 38
Oberländer, A. M., Karnebogen, P., Rövekamp, P., Röglinger, M., & Leidner, D. E. (2024) · Information Systems Journal · doi:10.1111/isj.12539 · Cited by 45
Meier, M., Maier, C., Thatcher, J. B., & Weitzel, T. (2024) · Information Systems Journal · doi:10.1111/isj.12507 · Cited by 40
Shadow Systems, Risk, and Shifting Power Relations in Organizations
Fürstenau, D., Rothe, H., & Sandner, M. (2017) · Communications of the Association for Information Systems · doi:10.17705/1cais.04103 · Cited by 32
The “Theoretical Lens” Concept: We All Know What it Means, but do We All Know the Same Thing?
Niederman, F., & March, S. T. (2019) · Communications of the Association for Information Systems · doi:10.17705/1cais.04401 · Cited by 44
Soliman, W., & Tuunainen, V. K. (2021) · Information Systems Journal · doi:10.1111/isj.12355 · Cited by 43
Reconceptualizing synergy to explain the value of business analytics systems
Someh, I., Shanks, G., & Davern, M. J. (2019) · Journal of Information Technology · doi:10.1177/0268396218816210 · Cited by 36
Overcoming pathological IT use: How and why IT addicts terminate their use of games and social media
Maier, C. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102053 · Cited by 36
Renaud, K., Otondo, R. F., & Warkentin, M. E. (2019) · Computers & Security · doi:10.1016/j.cose.2018.12.018 · Cited by 39
Ma, T., Cheng, Y., Guan, Z., Li, B., Hou, F., & Lim, E. T. K. (2023) · Information Systems Journal · doi:10.1111/isj.12439 · Cited by 38
Iannacci, F., & Cornford, T. (2017) · Information Systems Journal · doi:10.1111/isj.12145 · Cited by 33
Nazir, S., & Pinsonneault, A. (2021) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2021.101654 · Cited by 39
An evolutionary perspective on adoption-diffusion theory
Gruber, M. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.02.024 · Cited by 29
Knowledge coordination via digital artefacts in highly dispersed teams
Fang, Y., Neufeld, D. J., & Zhang, X. (2021) · Information Systems Journal · doi:10.1111/isj.12358 · Cited by 34
Evolving manufacturing mobility in Industry 4.0: the case of process industries
Barata, J., da Cunha, P. R., & Coyle, S. (2019) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-10-2018-0361 · Cited by 27
Theorizing the Multilevel Effects of Interruptions and the Role of Communication Technology
Addas, S., & Pinsonneault, A. (2018) · Journal of the Association for Information Systems · doi:10.17705/1jais.00521 · Cited by 27
Engaging with self-tracking applications: how do users respond to their performance data?
Constantiou, I., Mukkamala, A. M., Sjöklint, M., & Trier, M. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2081096 · Cited by 32
Using Process Theory for Accumulating Project Management Knowledge: A Seven-Category Model
Niederman, F., Müller, B., & March, S. T. (2018) · Project Management Journal · doi:10.1177/875697281804900102 · Cited by 31
A multilevel process view of organizational knowledge transfer: enablers versus barriers
Vaghefi, I., Lapointe, L., & Shahbaznezhad, H. (2018) · Journal of Management Analytics · doi:10.1080/23270012.2018.1424572 · Cited by 25
Definition and Multidimensionality of Security Awareness
Hanus, B., Windsor, J. C., & Wu, Y. “. (2018) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3210530.3210538 · Cited by 30
Following the MAP (Methods, Approaches, Perspectives) in Information Systems Research
Levallet, N., Denford, J. S., & Chan, Y. E. (2021) · Information Systems Research · doi:10.1287/isre.2020.0964 · Cited by 23
Stamenkov, G. (2022) · Quality & Quantity · doi:10.1007/s11135-022-01461-2 · Cited by 40
System: A core conceptual modeling construct for capturing complexity
Lukyanenko, R., Storey, V. C., & Pastor, Ó. (2022) · Data & Knowledge Engineering · doi:10.1016/j.datak.2022.102062 · Cited by 24
Business-IT alignment as a coevolution process: An empirical study
Amarilli, F., van den Hooff, B., & van Vliet, M. (2023) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2023.101776 · Cited by 23
Liu, W., & Shih, H. (2021) · Aslib Journal of Information Management · doi:10.1108/ajim-03-2021-0093 · Cited by 22
The process of solving problems with self-service technologies: a study from the user’s perspective
Nili, A., Tate, M., & Johnstone, D. (2019) · Electronic Commerce Research · doi:10.1007/s10660-018-9304-0 · Cited by 21
Tsohou, A., Siponen, M. T., & Newman, M. (2019) · Journal of Information Technology · doi:10.1177/0268396219856019 · Cited by 21
Shared service implementation in multidivisional organizations: A meta-synthesis study
Richter, P. C., & Brühl, R. (2021) · Journal of General Management · doi:10.1177/0306307020914139 · Cited by 25
Iannacci, F., Fearon, C., Kawalek, P., & Simeonova, B. (2022) · Information Systems Journal · doi:10.1111/isj.12409 · Cited by 24
Enhancing Methodological Reporting in Public Administration: The Functional Equivalents Framework
Mele, V., Estève, M., Lee, S., Bel, G., Cappellaro, G., Petrovsky, N., & Ospina, S. M. (2020) · The American Review of Public Administration · doi:10.1177/0275074020933010 · Cited by 27
The ‘Digital Façade’ of Rapidly Growing Entrepreneurial Organizations
Tumbas, S., Berente, N., Seidel, S., & Brocke, J. V. (2015) · Journal of the Association for Information Systems · Cited by 17
The Information Systems Artifact: A Conceptualization Based on General Systems Theory
Chatterjee, S., Xiao, X., Elbanna, A. R., & Saker, S. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.689 · Cited by 16
A disaster typology towards informing humanitarian relief supply chain design
Mackay, J., Munoz, A., & Pepper, M. (2019) · Journal of Humanitarian Logistics and Supply Chain Management · doi:10.1108/jhlscm-06-2018-0049 · Cited by 15
Micro‐level dynamics in digital transformation: Understanding work‐life role transitions
Mirbabaie, M., & Marx, J. (2024) · Information Systems Journal · doi:10.1111/isj.12514 · Cited by 14
An Exposition of Process Theory and Critique of Mohr’s (1982) Conceptualization Thereof
Niederman, F., & March, S. T. (2017) · Philosophy of Management · doi:10.1007/s40926-017-0082-x · Cited by 14
What older adults do in online communities when they co-create and co-destruct value
Kamalpour, M., Eden, R., Syed, R., Buys, L. R., Tariq, A., & Watson, J. (2021) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-03-2020-0043 · Cited by 15
Understanding information systems success: a hybrid view
Jewer, J., & Compeau, D. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1890529 · Cited by 15
Alam, S. L., & Sun, R. (2022) · Information Systems Journal · doi:10.1111/isj.12423 · Cited by 14
Exploring continuous auditing solutions and internal auditing: A research note
Ríkharðsson, P., Singh, K., & Best, P. J. (2019) · Accounting and Management Information Systems · doi:10.24818/jamis.2019.04006 · Cited by 12
Critical Realist Considerations for Literature ReviewsPreprint
Okoli, C. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2700524 · Cited by 13
Clemens, V., Wilden, R., Akaka, M. A., Foege, J. N., & Nüesch, S. (2025) · Industrial Marketing Management · doi:10.1016/j.indmarman.2025.01.003 · Cited by 14
Gamage, I., Malik, M., Andargoli, A., & Chávez, R. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3569876 · Cited by 11
Tracing expansive learning in computer-supported collaborative teaching
Pareto, L., & Willermark, S. (2022) · Learning Culture and Social Interaction · doi:10.1016/j.lcsi.2022.100617 · Cited by 11
Broadening the Conceptualization of Theory in the Information Systems Discipline
Niederman, F., & March, S. T. (2019) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3330472.3330476 · Cited by 14
A Cognitive Method for Comparing and Elaborating on Technology Frames
Ghobadi, S., & Mathiassen, L. (2023) · British Journal of Management · doi:10.1111/1467-8551.12752 · Cited by 11
THEORY THROUGH ARGUMENT: APPLYING ARGUMENT MAPPING TO FACILITATE THEORY BUILDING
Murungi, D. M., & Hirschheim, R. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1868952 · Cited by 11
Dwianto, A., Rahman, A. N., Ulynnuha, O. I., Anam, K., & Saif, G. M. S. (2024) · Advances in Accounting Innovation · doi:10.69725/aai.v1i1.87 · Cited by 14
A conceptual framework for valuing IT within a business system
Töhönen, H., Kauppinen, M., Männistö, T., & Itälä, T. (2020) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2019.100442 · Cited by 9
Tolzin, A., & Janson, A. (2025) · Internet Research · doi:10.1108/intr-06-2023-0514 · Cited by 13
"Scholarly Commentaries on Hirschheim’s “Against Theory”"
Hovorka, D. S., Rowe, F., Markus, M. L., Järvenpää, S. L., Swanson, E. B., Lacity, M. C., Burton‐Jones, A., Venkatesh, V., & Hirschheim, R. (2019) · Journal of the Association for Information Systems · doi:10.17705/1jais.00570 · Cited by 8
Self-citationTowards a theory of self‐organizing supply chain clusters
McDowell, E., Pepper, M., & Munoz, A. (2022) · Systems Research and Behavioral Science · doi:10.1002/sres.2838 · Cited by 9
Effective Use of Information Systems for Emergency Management: a Representation Theory Perspective
Bonaretti, D. (2019) · doi:10.31390/gradschool_dissertations.5028 · Cited by 7
Okoli, C. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3452134 · Cited by 8
The Process of Information Systems Theorizing as a Discursive Practice*
Hassan, N. R., Mathiassen, L., & Lowry, P. B. (2021) · Technology, work and globalization · doi:10.1007/978-3-030-64884-8_5 · Cited by 8
The state of information infrastructure for global climate governance
Engvall, T. S., & Flak, L. S. (2022) · Transforming Government People Process and Policy · doi:10.1108/tg-05-2022-0064 · Cited by 7
The role of design patterns in the development and legal assessment of lawful technologies
Dickhaut, E., Li, M. M., Janson, A., & Leimeister, J. M. (2022) · Electronic Markets · doi:10.1007/s12525-022-00597-1 · Cited by 7
Taking on sacred cows: openness, fair critique, and retaining value when revising classics
Rowe, F., & Markus, M. L. (2018) · European Journal of Information Systems · doi:10.1080/0960085x.2018.1545883 · Cited by 7
Overcoming Variance and Process Distinctions in Information Systems Research
de Guinea, A. O., & Webster, J. (2014) · International Conference on Information Systems · Cited by 7
Brunet, M., Burke, C. M., Malik, M., & Sydow, J. (2025) · International Journal of Project Management · doi:10.1016/j.ijproman.2025.102753 · Cited by 6
Splitting versus lumping: narrowing a theory’s scope may increase its value
Siponen, M. T., Klaavuniemi, T., & Xiao, Q. (2023) · European Journal of Information Systems · doi:10.1080/0960085x.2023.2208380 · Cited by 6
Finding the Next Unicorn: When Big Data Meets Venture Capital
Weibl, J., & Heß, T. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.132 · Cited by 6
A process approach to examining mobile commerce adoption progression
Ali, M., Wali, E. A., Al-Hinai, Y., & Kurnia, S. (2019) · Journal of Systems and Information Technology · doi:10.1108/jsit-10-2017-0085 · Cited by 6
How stage theorizing can improve recommendations against phishing attacks
Ebot, A. T. (2018) · Information Technology and People · doi:10.1108/itp-12-2017-0434 · Cited by 6
Chang, Y., Lee, O.-K. D., Park, J., & Ham, J. (2023) · Internet Research · doi:10.1108/intr-02-2023-946 · Cited by 6
Toward a more nuanced understanding of the IT use-individual performance relationship
Ringeval, M., Denford, J. S., Bourdeau, S., & Paré, G. (2025) · Information & Management · doi:10.1016/j.im.2025.104129 · Cited by 5
Introduction: Why Theory? (Mis)Understanding the Context and Rationale
Hassan, N. R., & Willcocks, L. P. (2021) · Technology, work and globalization · doi:10.1007/978-3-030-64884-8_1 · Cited by 5
Development of Sustainable Lean Patient Value in Healthcare: A Long-Term Condition Context
McAdam, R., Galbraith, B., McComb, S., Antony, J., & Vijaya Sunder, M. (2021) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2021.1964357 · Cited by 6
Alter, S. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.795 · Cited by 5
Niederman, F. (2021) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3508484.3508491 · Cited by 5
Metadata
- Authors
- Burton-Jones, A., McLean, E. R., & Monod, E.
- Affiliations
- UQ Business School, The University of Queensland Brisbane Australia
- Georgia State University (US)
- Shanghai Jiao Tong University (CN)
- ORCID
- Monod, Emmanuel
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2015-11
- Volume
- 24
- Issue
- 6
- Pages
- 664-679
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2047884962
- Cited by
- 167
- References
- 145
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 10 · 2023: 16 · 2022: 19 · 2021: 24 · 2020: 17 · 2019: 24 · 2018: 11 · 2017: 11 · 2016: 9 · 2015: 3
- FWCI
- 25.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Information Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Keywords
- theoretical approaches, theory development, process perspective, systems approach, DeLone and McLean model, theoretical model, knowledge production
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review