David J. Good

1.1k citations
43 papers · 821 indexed · h-index 17

Impact in

Papers in

David J. Good

42 papers receiving 731 citations

Peers

David J. Good
Comparison fields: 5 of 64
  • Information Systems and Management 386
  • Organizational Behavior and Human Resource Management 439
  • Marketing 131
  • Management Information Systems 113
  • Strategy and Management 183
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Citations per field
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Citations per year

Countries citing papers authored by David J. Good

Since Specialization
Citations

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

Fields of papers citing papers by David J. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Good. 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 David J. Good. The network helps show where David J. Good may publish in the future.

Co-authorship network

The 13 scholars most cited alongside David J. Good, 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 David J. Good Line = papers co-authored together David J. Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Generational research in the sales arena
20123
2 201234
3
Understanding Social Innovation and the Need for Resiliency: The Volunteer and Non-Profit Sector
20125
4
The Sales Entrepreneur: A New Generation of Challenges and Opportunities
20102
5 201048
6 20077
7 200671
8
Developing self-efficacy and entrepreneurial intent for technology entrepreneurship: the influence of role models
20061
9
Measuring Entrepreneurial Orientation in an Individualized Technology Context
20045
10 20023
11 200118
12 20013
13 200060
14 200025
15 199940
16 19993
17 19972
18 199535
19 19917
20 19871

About David J. Good

David J. Good is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management, Management of Technology and Innovation, Life-span and Life-course Studies and Management Information Systems, having authored 43 papers that have together received 821 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (17 papers), Ethics in Business and Education (10 papers), Technology Adoption and User Behaviour (10 papers), Management and Marketing Education (10 papers), Digital Marketing and Social Media (7 papers), Job Satisfaction and Organizational Behavior (5 papers), Business Strategy and Innovation (4 papers) and Entrepreneurship Studies and Influences (4 papers). The work is most often cited by research in Information Systems and Management (386 citations), Organizational Behavior and Human Resource Management (439 citations), Marketing (131 citations), Management Information Systems (113 citations) and Strategy and Management (183 citations). David J. Good has collaborated with scholars based in United States, Latvia and Israel. Frequent co-authors include Charles H. Schwepker, Robert W. Stone, Roberta J. Schultz, Lori Baker-Eveleth, Kenneth R. Evans, James B. DeConinck, Ellen Randall, Cathy Owens Swift, Morgan P. Miles and Louis M. Capella. Their work appears in journals such as Journal of Business and Industrial Marketing, Industrial Marketing Management, Journal of Personal Selling and Sales Management, The Journal of Marketing Theory and Practice 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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