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Published by: Emerald Publishing
http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=imds
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 49 | 89 | 163 | 32 |
| Engineering and Technology | 384 | 25 | 76 | 21 |
| Computer Science | 401 | 35 | 58 | 15 |
The journal was organized to reinforce research efforts on Knowledge management, Marketing, Process management, Supply chain and Information system. Industrial Management and Data Systems focuses on Knowledge management but the discussions also offer insight into other areas such as Context (language use), Information technology, Structural equation modeling, Empirical research and Process (engineering). In addition to Marketing research, the journal aims to explore topics under Advertising, Industrial organization and The Internet.
The study on Process management presented in Industrial Management and Data Systems intersects with subjects under the field of Operations management. The work on Supply chain presented in the journal focuses on Supply chain management in particular. The journal is mostly focused on Information system, specifically Management information systems.
The most cited articles cover a variety of subjects, including Knowledge management, Marketing, Process management, Supply chain management and Supply chain. The most cited publications explore issues in Knowledge management which can be linked to other research areas like Information technology, Information system and Process (engineering). While Marketing is the focus of the most cited papers, it also provides insights into the studies of Advertising, The Internet, Structural equation modeling, Sample (statistics) and Industrial organization.
The primary areas of discussion in the journal are Knowledge management, Process management, Supply chain, Context (language use) and Industrial organization. The studies in Knowledge management featured incorporate elements of Quality (business), Conceptual model, Service (business), Technology acceptance model and Customer satisfaction. The research on Process management featured in it combines topics in other fields like Information technology, Industry 4.0, Ranking, Supply chain management and Competitive advantage.
The tackled Supply chain research is interrelated with Process (engineering) which concerns subjects like Component (UML). Some problems in Context (language use) that were presented in the journal overlapped with concepts under Social media, Health care and Originality. The studies tackled, which mainly focus on Industrial organization, apply to Competition (economics) as well.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Industrial Management and Data Systems (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Industrial Management and Data Systems (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 79.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.00% of all publications and 75.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Understanding the subject content and focus of the Industrial Management and Data Systems journal can provide the foundation for many career paths. Professionals who are just beginning to scratch the surface of these research areas may be inclined towards a career in urban planning, supply chain management, or other sectors that leverage data systems. One such rewarding career path is to become an urban planner in the state of New Hampshire. With a profound understanding of industrial management and data systems, you can contribute to the sustained growth and improvement of urban landscapes, utilizing strategic data analysis to make informed, sustainable decisions. Want to consider a career path in this field or perhaps expand your educational horizons? You can also consider looking at some of the best business schools in New Hampshire. These institutions offer copious opportunities to study topics such as marketing, process management, and supply chain management, with a specific focus on the use of data systems. To learn more about the available options, visit the following link in order to explore the **Best Business Schools in New Hampshire** and get a comprehensive guide on how to become an urban planner in New Hampshire. This information can help set the stage for a fulfilling career in the ever-evolving world of Industrial Management and Data Systems.
Nicole Franziska Richter;Sandra Schubring;Sven Hauff;Christian M. Ringle
(2020)Unknown
(2022)Santosh Nandi;Joseph Sarkis;Aref Hervani;Marilyn Helms
(2020)Himanshu Gupta;Sarangdhar Kumar;Simonov Kusi-Sarpong;Charbel Jose Chiappetta Jabbour
(2021)Runyue Han;Hugo K.S. Lam;Yuanzhu Zhan;Yichuan Wang
(2021)Joseph F. Hair
(2020)Joseph Sarkis;Mahtab Kouhizadeh;Qingyun Serena Zhu
(2020)Zhaojun Han;Baofeng Huo
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