Don M. Parks

1.1k total citations · 1 hit paper
6 papers, 795 citations indexed

About

Don M. Parks is a scholar working on Strategy and Management, Management of Technology and Innovation and Management Information Systems. According to data from OpenAlex, Don M. Parks has authored 6 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Strategy and Management, 2 papers in Management of Technology and Innovation and 1 paper in Management Information Systems. Recurrent topics in Don M. Parks's work include Management and Marketing Education (2 papers), Competitive and Knowledge Intelligence (2 papers) and Big Data and Business Intelligence (1 paper). Don M. Parks is often cited by papers focused on Management and Marketing Education (2 papers), Competitive and Knowledge Intelligence (2 papers) and Big Data and Business Intelligence (1 paper). Don M. Parks collaborates with scholars based in United States. Don M. Parks's co-authors include Richard L. Daft and William C. House and has published in prestigious journals such as Strategic Management Journal, Organizational Behavior Teaching Review and Defense Technical Information Center (DTIC).

In The Last Decade

Don M. Parks

5 papers receiving 667 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chief executive scanning, environmental characteristics, and company performance: An empirical study

1988 772 citations Richard L. Daft, Don M. Parks et al. Strategic Management Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Don M. Parks United States	4	607	146	136	90	75	6	795
Pien Wang Singapore	9	357 0.6×	102 0.7×	84 0.6×	92 1.0×	72 1.0×	14	571
Richard Yu Yuan Hung Taiwan	7	593 1.0×	188 1.3×	272 2.0×	128 1.4×	41 0.5×	9	922
Ananda Mukherji United States	13	360 0.6×	171 1.2×	102 0.8×	54 0.6×	153 2.0×	33	680
Øivind Revang Norway	9	350 0.6×	199 1.4×	83 0.6×	82 0.9×	33 0.4×	13	629
Patrick Regnér Sweden	8	521 0.9×	264 1.8×	82 0.6×	78 0.9×	116 1.5×	11	702
Donald L. Lester United States	13	352 0.6×	168 1.2×	82 0.6×	132 1.5×	146 1.9×	27	750
Risto Seppänen Finland	4	348 0.6×	187 1.3×	145 1.1×	80 0.9×	28 0.4×	6	616
Hartini Ahmad Malaysia	12	245 0.4×	129 0.9×	163 1.2×	123 1.4×	63 0.8×	52	639
Steven H. Seggie United States	12	360 0.6×	165 1.1×	139 1.0×	88 1.0×	68 0.9×	17	673
Anthony L. Iaquinto United States	8	304 0.5×	187 1.3×	90 0.7×	71 0.8×	151 2.0×	18	570

Countries citing papers authored by Don M. Parks

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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6 of 6 papers shown

1.

House, William C., et al.. (2014). Relationships between R&D and Profitability: An Exploratory Comparison of Two Business Simulations with Two Real-World. Technology Intensive Industries. Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL conference. 21. 3 indexed citations

2.

Parks, Don M.. (1999). INDUSTRY ANALYSIS, PORTER'S FIVE FORCES MODEL, AND STRATEGIC GROUP MAPS IN THE BUSINESS STRATEGY GAME SIMULATION. Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL conference. 26. 1 indexed citations

3.

Parks, Don M., et al.. (1995). Achieving Higher Levels of Learning in the Business Policy and Strategy Course Through Integration of a Business Simulation. Organizational Behavior Teaching Review. 19(2). 219–227. 10 indexed citations

4.

Parks, Don M.. (1988). Business level strategy, competitive forces, and performance : an empirical study of mid-sized manufacturing firms. UMI eBooks. 1 indexed citations

5.

Daft, Richard L., et al.. (1988). Chief executive scanning, environmental characteristics, and company performance: An empirical study. Strategic Management Journal. 9(2). 123–139. 772 indexed citations breakdown →

6.

Daft, Richard L., et al.. (1986). Organizations as Information Processing Systems. Environmental Characteristics, Company Performance, and Chief Executive Scanning: An Empirical Study.. Defense Technical Information Center (DTIC). 8 indexed citations

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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