Don M. Parks
- Strategy and Management top 2%
- Organizational Behavior and Human Resource Management top 5%
- Management Information Systems top 5%
- Management of Technology and Innovation top 5%
- Accounting top 10%
- Co-authors
- Richard L. DaftWilliam C. House
- Topics
- Management and Marketing Education (2 papers)Competitive and Knowledge Intelligence (2 papers)Big Data and Business Intelligence (1 paper)
- Cited by
- Strategy and ManagementManagement Information SystemsOrganizational Behavior and Human Resource Management
- Journals
- Strategic Management JournalOrganizational Behavior Teaching ReviewDefense Technical Information Center (DTIC)
- Partner nations
- United States
In The Last Decade
Don M. Parks
5 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Strategy and Management 607
- Organizational Behavior and Human Resource Management 146
- Management Information Systems 136
- Management of Technology and Innovation 90
- Accounting 75
Countries citing papers authored by Don M. Parks
This map shows the geographic impact of Don M. Parks'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 Don M. Parks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don M. Parks more than expected).
Fields of papers citing papers by Don M. Parks
This network shows the impact of papers produced by Don M. Parks. 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 Don M. Parks. The network helps show where Don M. Parks may publish in the future.
Co-authorship network of co-authors of Don M. Parks
This figure shows the co-authorship network connecting the top 25 collaborators of Don M. Parks. A scholar is included among the top collaborators of Don M. Parks 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 Don M. Parks. Don M. Parks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Relationships between R&D and Profitability: An Exploratory Comparison of Two Business Simulations with Two Real-World. Technology Intensive Industries | 3 |
| 2 | INDUSTRY ANALYSIS, PORTER'S FIVE FORCES MODEL, AND STRATEGIC GROUP MAPS IN THE BUSINESS STRATEGY GAME SIMULATION | 1 |
| 3 | 10 | |
| 4 | Business level strategy, competitive forces, and performance : an empirical study of mid-sized manufacturing firms | 1 |
| 5 | Chief executive scanning, environmental characteristics, and company performance: An empirical studybreakdown → | 772 |
| 6 | Organizations as Information Processing Systems. Environmental Characteristics, Company Performance, and Chief Executive Scanning: An Empirical Study. | 8 |
About Don M. Parks
Don M. Parks is a scholar working on Management of Technology and Innovation, Strategy and Management and Management Information Systems, having authored 6 papers that have together received 795 indexed citations. Recurring topics across this work include Management and Marketing Education (2 papers), Competitive and Knowledge Intelligence (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Strategy and Management (607 citations), Management Information Systems (136 citations) and Organizational Behavior and Human Resource Management (146 citations). Don M. Parks has collaborated with scholars based in United States. Frequent co-authors include Richard L. Daft and William C. House. Their work appears in journals such as Strategic Management Journal, Organizational Behavior Teaching Review and Defense Technical Information Center (DTIC).
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.