Chad Lin

2.4k citations
67 papers · 1.5k · h-index 21

Impact in

Papers in

Chad Lin

67 papers receiving 1.3k citations

Peers

Chad Lin
Comparison fields: 5 of 101
  • Management Information Systems 555
  • Information Systems and Management 309
  • Marketing 249
  • Strategy and Management 372
  • Communication 155
Replace Chang E. Koh with:
Chang E. Koh United States
Anne‐Marie Croteau Canada
Jéssica Braojos Spain
Shaobo Wei China
Saggi Nevo United States
José Gascó Spain
Antti Lönnqvist Finland
David Kiron United States
Debra Howcroft United Kingdom
Tahir M. Nisar United Kingdom
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Citations per field
00.5×1.5×
Chang E. Koh · 1×
Citations per year

Countries citing papers authored by Chad Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chad Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chad Lin, 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 Chad Lin Line = papers co-authored together Chad Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 2008139
3 2003131
4 2010120
5 2006109
6 200879
7 200759
8 201558
9 200754
10 200747
11 201036
12
IS/IT Investment Evaluation and Benefits Realization Issues in Australia
200831
13 201630
14 200627
15 201626
16 200825
17 201225
18 200124
19
IS/IT Investment Evaluation and Benefit Realization Practices in Taiwanese SMEs
200524
20 201623

About Chad Lin

Chad Lin is a scholar working on Management Information Systems, Information Systems and Management, Strategy and Management, Marketing and Social Psychology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (27 papers), Technology Adoption and User Behaviour (21 papers), ERP Systems Implementation and Impact (15 papers), Innovation and Knowledge Management (11 papers), Outsourcing and Supply Chain Management (10 papers), Big Data and Business Intelligence (7 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Knowledge Management and Sharing (5 papers). The work is most often cited by research in Management Information Systems (555 citations), Information Systems and Management (309 citations), Marketing (249 citations), Strategy and Management (372 citations) and Communication (155 citations). Chad Lin has collaborated with scholars based in Australia, Taiwan and United Kingdom. Frequent co-authors include Yuan Huang, Graham Pervan, Craig Standing, Ian Phau, Ying-Chieh Liu, Peter E.D. Love, Janice M. Burn, Zahir Irani, Geoffrey Jalleh and Andrew Guilfoyle. Their work appears in journals such as Australasian Journal of Paramedicine, Australian and New Zealand Journal of Public Health, Journal of the Association for Information Systems, Information & Management and Asia Pacific Journal of Marketing and Logistics.

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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