Luke Houghton

1.1k citations
66 papers · 678 indexed · h-index 15

Luke Houghton

64 papers receiving 620 citations

Peers

Luke Houghton
Comparison fields: 5 of 102
  • Information Systems and Management 147
  • Management Information Systems 135
  • Organizational Behavior and Human Resource Management 120
  • Communication 78
  • Computer Science Applications 43
Replace Mark E. McMurtrey with:
Mark E. McMurtrey United States
Helana Scheepers Australia
Suranjan Chakraborty United States
Alina Shamsuddin Malaysia
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Citations per field
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Mark E. McMurtrey · 1×
Citations per year

Countries citing papers authored by Luke Houghton

Since Specialization
Citations

This map shows the geographic impact of Luke Houghton'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 Luke Houghton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Houghton more than expected).

Fields of papers citing papers by Luke Houghton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke Houghton. 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 Luke Houghton. The network helps show where Luke Houghton may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Luke Houghton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luke Houghton Line = papers co-authored together Luke Houghton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20222
3 20224
4 20216
5 202127
6 20192
7 20191
8
Problem Structuring for Decision Consensus among Students.
20171
9
A Pluralistic Methodology for a Refined Selection of Drivers Influencing Information System Adoption in Public Organizations: the Case for Ecuador
20162
10 201612
11
Affective Events Theory, Institutional Theory and feral Systems: How do they all Fit?
20134
12 20136
13 201315
14
The impact of individual, collective and structural Sensemaking on the usefulness of business intelligence data
20121
15 201218
16 201221
17
‘JUST A NOT-FOR-PROFIT’: SUPPORTING SUSTAINABILITY WITH BUSINESS INTELLIGENCE IN THE NOT-FOR-PROFIT SECTOR
20112
18 201021
19 200729
20 200211

About Luke Houghton

Luke Houghton is a scholar working on Information Systems and Management, Management Information Systems and Human Factors and Ergonomics, having authored 66 papers that have together received 678 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Complex Systems and Decision Making (14 papers), ERP Systems Implementation and Impact (10 papers), Innovation and Knowledge Management (7 papers), Information Systems Theories and Implementation (7 papers), E-Government and Public Services (7 papers), Information Technology Governance and Strategy (6 papers) and Outsourcing and Supply Chain Management (5 papers). The work is most often cited by research in Information Systems and Management (147 citations), Management Information Systems (135 citations) and Organizational Behavior and Human Resource Management (120 citations). Luke Houghton has collaborated with scholars based in Australia, Saudi Arabia and Bangladesh. Frequent co-authors include Don Kerr, Peter Tatham, Louis Sanzogni, Adel A. Bahaddad, Kuldeep Sandhu, Kevin Burgess, Gui Lohmann, Steve Drew, Wendy Green and Mike Metcalfe. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Business Ethics.

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.

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