A Methodology for Improving the Quality of the Research Article Publications in Engineering Institutions in India: A Case Study
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| Title: | A Methodology for Improving the Quality of the Research Article Publications in Engineering Institutions in India: A Case Study |
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| Language: | English |
| Authors: | Rajkumar Bhimgonda Patil, Prachi Vinod Ingle (ORCID |
| Source: | Innovative Higher Education. 2024 49(4):707-733. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 27 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Foreign Countries, Engineering Education, Scholarship, Writing (Composition), Faculty Publishing, Writing for Publication, Institutional Evaluation, Reputation, Quality Assurance, Productivity, Journal Articles, Barriers, Faculty Development, Faculty Evaluation |
| Geographic Terms: | India |
| DOI: | 10.1007/s10755-024-09703-x |
| ISSN: | 0742-5627 1573-1758 |
| Abstract: | Research article publication is often considered a critical indicator of academic institutions' success and productivity. It improves the institution's reputation, attracts talented students and faculty members, and increases the institution's chances of receiving funding opportunities from different funding agencies. This paper provides a reliable and sustainable methodology for improving the quality and quantity of research article publications for engineering institutions in India. The various tools, techniques, and initiatives that promote research culture and improve its outcome in terms of research papers are also discussed. A case study of Pimpri Chinchwad College of Engineering (PCCOE), Pune, India, depicts how predictive, prescriptive, descriptive, and diagnostic data analytics approaches help to identify the barriers in the research article publications in academic institutions and provides the ways to overcome them. It also helps to set the publication targets and develop the path to perceive the targets. The outcomes and effectiveness of the case study are discussed using the papers published in Scopus, Web of Science, and Google Scholar databases. The challenges, opportunities, and recommendations are also provided for the smooth and effective implementation of the developed methodologies. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1435914 |
| Database: | ERIC |
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| Abstract: | Research article publication is often considered a critical indicator of academic institutions' success and productivity. It improves the institution's reputation, attracts talented students and faculty members, and increases the institution's chances of receiving funding opportunities from different funding agencies. This paper provides a reliable and sustainable methodology for improving the quality and quantity of research article publications for engineering institutions in India. The various tools, techniques, and initiatives that promote research culture and improve its outcome in terms of research papers are also discussed. A case study of Pimpri Chinchwad College of Engineering (PCCOE), Pune, India, depicts how predictive, prescriptive, descriptive, and diagnostic data analytics approaches help to identify the barriers in the research article publications in academic institutions and provides the ways to overcome them. It also helps to set the publication targets and develop the path to perceive the targets. The outcomes and effectiveness of the case study are discussed using the papers published in Scopus, Web of Science, and Google Scholar databases. The challenges, opportunities, and recommendations are also provided for the smooth and effective implementation of the developed methodologies. |
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| ISSN: | 0742-5627 1573-1758 |
| DOI: | 10.1007/s10755-024-09703-x |
