Mary Tate

2.5k total citations
96 papers, 1.6k citations indexed

About

Mary Tate is a scholar working on Sociology and Political Science, Information Systems and Management and Management Information Systems. According to data from OpenAlex, Mary Tate has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Sociology and Political Science, 33 papers in Information Systems and Management and 27 papers in Management Information Systems. Recurrent topics in Mary Tate's work include Technology Adoption and User Behaviour (32 papers), Information Systems Theories and Implementation (16 papers) and Customer Service Quality and Loyalty (15 papers). Mary Tate is often cited by papers focused on Technology Adoption and User Behaviour (32 papers), Information Systems Theories and Implementation (16 papers) and Customer Service Quality and Loyalty (15 papers). Mary Tate collaborates with scholars based in New Zealand, Australia and Canada. Mary Tate's co-authors include Jöerg Evermann, Hai‐Bo Yang, David Johnstone, Alireza Nili, Allan Sylvester, Alistair Barros, Guy Paré, Spyros Kitsiou, Elfi Furtmueller and Guy G. Gable and has published in prestigious journals such as Journal of Business Research, Information & Management and International Journal of Information Management.

In The Last Decade

Mary Tate

86 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Tate New Zealand 19 364 358 335 329 232 96 1.6k
Nitin Upadhyay India 10 323 0.9× 403 1.1× 251 0.7× 232 0.7× 166 0.7× 42 1.5k
Sutirtha Chatterjee United States 19 513 1.4× 238 0.7× 383 1.1× 288 0.9× 149 0.6× 48 1.4k
Xiao Xiao Denmark 20 487 1.3× 289 0.8× 225 0.7× 433 1.3× 198 0.9× 76 1.7k
Richard Boateng Ghana 21 359 1.0× 395 1.1× 478 1.4× 233 0.7× 190 0.8× 100 1.7k
Esko Penttinen Finland 18 295 0.8× 223 0.6× 274 0.8× 469 1.4× 338 1.5× 71 1.6k
H. Joseph Wen United States 19 380 1.0× 295 0.8× 558 1.7× 319 1.0× 180 0.8× 53 1.9k
Mahmood Shah United Kingdom 20 409 1.1× 578 1.6× 386 1.2× 345 1.0× 317 1.4× 94 1.9k
Babita Gupta United States 13 522 1.4× 325 0.9× 541 1.6× 315 1.0× 185 0.8× 29 2.0k
Rahul Dé India 17 461 1.3× 311 0.9× 350 1.0× 219 0.7× 201 0.9× 56 1.6k
Athanasia Pouloudi Greece 20 397 1.1× 203 0.6× 269 0.8× 280 0.9× 167 0.7× 82 1.4k

Countries citing papers authored by Mary Tate

Since Specialization
Citations

This map shows the geographic impact of Mary Tate's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary Tate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Tate more than expected).

Fields of papers citing papers by Mary Tate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Tate. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary Tate. The network helps show where Mary Tate may publish in the future.

Co-authorship network of co-authors of Mary Tate

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Tate. A scholar is included among the top collaborators of Mary Tate based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Tate. Mary Tate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nili, Alireza, Mary Tate, & Alistair Barros. (2020). A DISCIPLINED APPROACH FOR ENHANCING THE TECHNOLOGY ACCEPTANCE MODEL. Journal of the Association for Information Systems. 1 indexed citations
2.
Nili, Alireza, Alistair Barros, & Mary Tate. (2019). The public sector can teach us a lot about digitizing customer service. QUT ePrints (Queensland University of Technology). 14 indexed citations
3.
Tate, Mary, et al.. (2018). Organizational routines and teaching innovations: a case study. Teaching in Higher Education. 23(7). 885–901. 7 indexed citations
4.
Nguyễn, Quang Vinh, Mary Tate, Philip Calvert, & Benoit A. Aubert. (2017). INTELLECTUAL CAPITAL, ORGANIZATIONAL LEARNING CAPABILITY, AND ERP IMPLEMENTATION FOR STRA-TEGIC BENEFIT. Journal of the Association for Information Systems. 21. 1 indexed citations
5.
Nili, Alireza, Mary Tate, & Guy G. Gable. (2014). A TYPOLOGY OF TECHNOLOGICAL ENABLERS OF WEBSITE SERVICE FAILURE PREVENTION. Journal of the Association for Information Systems. 5 indexed citations
6.
Evermann, Jöerg & Mary Tate. (2014). Comparing Out-of-Sample Predictive Ability of PLS, Covariance, and Regression Models. Journal of the Association for Information Systems. 11 indexed citations
7.
Nili, Alireza, Mary Tate, David Johnstone, & Guy G. Gable. (2014). A Framework for Qualitative Analysis of Focus Group Data in Information Systems. QUT ePrints (Queensland University of Technology). 5 indexed citations
8.
Tate, Mary, Darshana Sedera, Ephraim R. McLean, & Andrew Burton‐Jones. (2014). Information systems success research : the “20-year update?” panel report from PACIS, 2011. Journal of the Association for Information Systems.
9.
Sylvester, Allan, et al.. (2013). Motivations For BYOD: An Investigation Of The Contents Of A 21st Century School Bag. QUT ePrints (Queensland University of Technology). 183. 19 indexed citations
10.
Tate, Mary, et al.. (2013). An Integrative Literature Review And Empirical Validation Of Motives For Introducing Shared Services In Government Organizations.. RePEc: Research Papers in Economics. 100. 2 indexed citations
11.
Tate, Mary, Elfi Furtmueller, Jöerg Evermann, & Wasana Bandara. (2013). Building up or piling up? The literature review in information systems research. QUT ePrints (Queensland University of Technology). 1 indexed citations
12.
Evermann, Jöerg & Mary Tate. (2012). Comparing the Predictive Ability of PLS and Covariance Models. International Conference on Information Systems. 13 indexed citations
13.
Tate, Mary, et al.. (2012). A Critical Evaluation and Comparison of Two Formative Measures of System Quality Using Criterion Variables. Journal of the Association for Information Systems. 1–10. 1 indexed citations
14.
Evermann, Jöerg & Mary Tate. (2012). An Ontology of Structural Equation Models with Application to Computer Self-Efficacy. International Conference on Information Systems. 3 indexed citations
15.
Evermann, Jöerg & Mary Tate. (2009). BUILDING THEORY FROM QUANTITATIVE STUDIES , OR , HOW TO FIT SEM MODELS. Journal of the Association for Information Systems. 192. 6 indexed citations
16.
Tate, Mary & Jöerg Evermann. (2009). Perceptive Users with Attitudes - Some Hueristics on Theorizing. Journal of the Association for Information Systems. 139. 6 indexed citations
17.
Evermann, Jöerg & Mary Tate. (2009). Constructs in the Mist: The Lost World of the IT Artifact. Journal of the Association for Information Systems. 9(42). 183. 7 indexed citations
18.
Tate, Mary & Jöerg Evermann. (2009). Descendents of ServQual in Online Services Research: The End of the Line?. Journal of the Association for Information Systems. 607. 4 indexed citations
19.
Sylvester, Allan & Mary Tate. (2008). Beyond the "Mythical Centre": An Affirmative Post-Modern View of SERVQUAL Research in Information Systems. Journal of the Association for Information Systems. 13–24. 2 indexed citations
20.
Tate, Mary, Beverley G. Hope, Jöerg Evermann, & Stuart J. Barnes. (2007). Perceived Online Service Quality: Latent Dimensions and Ontological Implications. Journal of the Association for Information Systems. 92.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026