Hae‐Ching Chang

540 citations
10 papers · 419 · h-index 6

Impact in

Papers in

Hae‐Ching Chang

9 papers receiving 396 citations

Peers

Hae‐Ching Chang
Comparison fields: 5 of 52
  • Information Systems and Management 197
  • Organizational Behavior and Human Resource Management 131
  • Communication 66
  • Management of Technology and Innovation 52
  • Computer Science Applications 37
Replace Christine T. Kydd with:
Christine T. Kydd United States
Ashraf Bany Mohammed Jordan
Nilay Yajnik India
Eftichia Vraimaki Greece
Raymond D. Frost United States
B. De Brabander Belgium
Chin Wei Chong Malaysia
Michel Kalika France
Amir A. Abdulmuhsin Iraq
Christina Ling-hsing Chang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Hae‐Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hae‐Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Ching Chang. 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 Hae‐Ching Chang. The network helps show where Hae‐Ching Chang may publish in the future.

Co-authors

The 6 scholars most cited alongside Hae‐Ching Chang, 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 Hae‐Ching Chang Line = papers co-authored together Hae‐Ching Chang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007294
2 201154
3 200922
4 200716
5 200915
6
The Effect of Organizational Attributes on the Adoption of Data Mining Techniques in the Financial Service Industry: An Empirical Study in Taiwan
200310
7 20084
8 20093
9 20081
10
Exploring Significant Core Resources for the Performance for the Performance of High Technology Industries in Taiwan
20030

About Hae‐Ching Chang

Hae‐Ching Chang is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management, Management Information Systems, Management Science and Operations Research and Accounting, having authored 10 papers that have together received 419 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (3 papers), Corporate Finance and Governance (2 papers), Business Strategy and Innovation (2 papers), Customer Service Quality and Loyalty (2 papers), Competitive and Knowledge Intelligence (2 papers), Stock Market Forecasting Methods (2 papers), Technology Adoption and User Behaviour (1 paper) and Market Dynamics and Volatility (1 paper). The work is most often cited by research in Information Systems and Management (197 citations), Organizational Behavior and Human Resource Management (131 citations), Communication (66 citations), Management of Technology and Innovation (52 citations) and Computer Science Applications (37 citations). Hae‐Ching Chang has collaborated with scholars based in Taiwan. Frequent co-authors include Chao‐Min Chiu, Shu‐Ling Cheng, Bertram Tan, Shu‐Chen Kao, Chinho Lin and Su‐Chao Chang. Their work appears in journals such as Journal of Business Research, Information Systems Journal, Industry and Innovation, Journal of Statistics and Management Systems and International Journal of Commerce and Management.

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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