Relationship of Input and Output Variables with DEA (Data Envelopment Analysis) Approach: Efficiency Implementation Study in Library Science Journal SINTA 2 and 3
DOI:
https://doi.org/10.24269/pls.v7i2.7778Abstract When the impact produced by the output variable (H-Index) is greater than that of the input variable (Impact Factor), the quality of a journal is said to be efficient. This investigation aims to evaluate the effectiveness of SINTA 2 and 3-indexed library science journals. This study examines the relationship between input and output variables using the Data Envelopment Analysis (DEA) method to measure efficiency in a library science journal that is indexed by SINTA accredited 2 and 3. A data-driven technique for calculating the full factor efficiency of homogeneous decision units is called data envelopment analysis (DEA). If the impact produced by the ranking of the output variable (H-Index) is greater than that of the input variable (Impact Factor), then the Library Science Journal is said to be efficient. Four out of the eight library science journals indexed by SINTA 2 and 3 are deemed efficient, according to the study's findings. Jurnal Berkala Ilmu Perpustakaan dan Informasi, Jurnal Baca Dokumentasi dan Informasi, Jurnal Kajian Informasi dan Perpustakaan, dan Jurnal Pustakaloka: Jurnal Kajian Informasi dan Perpustakaan.
References
Abramo, G., D’Angelo, C. A., & Pugini, F. (2008). The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology. Scientometrics, 76(2), 225–244. https://doi.org/10.1007/s11192-007-1942-2
Adila, N. (2022). Implementation of Web Scraping for Journal Data Collection on the SINTA Website. Sinkron, 7(4), 2478–2485. https://doi.org/10.33395/sinkron.v7i4.11576
Ahmar, A. S., Kurniasih, N., Irawan, D. E., Sutiksno, D. U., Napitupulu, D., Setiawan, M. I., Simarmata, J., Hidayat, R., Busro, Abdullah, D., Rahim, R., & Abraham, J. (2018). Lecturers’ Understanding on Indexing Databases of SINTA, DOAJ, Google Scholar, SCOPUS, and Web of Science: A study of Indonesians. Journal of Physics: Conference Series, 954. https://doi.org/10.1088/1742-6596/954/1/012026
Anand, A., Kringelum, L. B., Madsen, C. Ø., & Selivanovskikh, L. (2021). Interorganizational learning: a bibliometric review and research agenda. The Learning Organization, 28(2), 111–136. https://doi.org/10.1108/TLO-02-2020-0023ï
Braun, T., Glanzel, W., & Andras S, S. (2013). A Hirsch-type index for journals. Scientometrics, 69(1), 169–173. https://doi.org/10.1007/s11192-006-01
Campbell, K., W. Vick, D., D. Murray, A., & F. Little, G. (1999). Journal Publishing, Journal Reputation, and the United Kingdom’s Research Assesment Exercise. Journal of Law and Society, 26, 470–501. https://doi.org/10.1111/1467-6478.00137
Chen, K., Yang, G., & Khoveyni, M. (2017). Measuring Performance Evolution of Academic Journals in Management Science and Operations Research: A DEA-Malmquist Approach. Journal of Management Science and Engineering, 2(1), 34–54. https://doi.org/10.3724/SP.J.1383.201002
Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data Envelopment Analysis: History, Models, and Interpretations. In International Series in Operations Research and Management Science (Vol. 164). Springer New York LLC. https://doi.org/10.1007/978-1-4419-6151-8_1
Durieux, V., & Gevenois, P. A. (2010). Bibliometric Indicators: Quality Measurements of Scientific Publication. Radiology, 255(2), 342–351. https://doi.org/10.1148/radiol.09090626
Evans, J. R., Foster, S. T., & Linderman, K. (2014). A content analysis of research in quality management and a proposed agenda for future research. In Quality Management Journal (Vol. 21, Issue 2, pp. 17–44). American Society for Quality. https://doi.org/10.1080/10686967.2014.11918383
Fatimah, S., & Mahmudah, D. U. (2017). Data Envelopment Analysis (DEA): Pengukuran Efisiensi Kinerja Sekolah Dasar. Cakrawala Pendidikan, 2, 233–243. https://doi.org/10.21831/cp.v36i2.11511
Garfield, E. (1998). Long-term vs. short-term journal impact: does it matter? The Physiologist, 41(3), 113–115. http://www.ncbi.nlm.nih.gov/pubmed/9652169
Glänzel, W. (2006). On the opportunities and limitations of the H-index 1. Science Focus, 1(1), 10–11.
Grifell-Tatje, & Lovell, C. A. K. (1995). A note on the Malmquist productivity index. Economics Letters, 47, 169–175. https://doi.org/10.1016/0165-1765(94)00497-P
Harzing, A.-W., & Van Der Wal, R. (2009). A Google Scholar H-Index for Journals: An Alternative Metric to Measure Journal Impact in Economics & Business. Journal of the American Society for Information Science and Technology, 60(1), 41–46. https://doi.org/10.1002/asi.20953
Ji, Y.-B., & Lee, C. (2010). Data envelopment analysis. The Stata Journal, 10(2), 267–280. https://doi.org/10.22004/ag.econ.152313
Kumar, A. (2018). Is “Impact†the “Factor†that matters...? (Part I). In Journal of Indian Society of Periodontology (Vol. 22, Issue 2, pp. 95–96). Medknow Publications. https://doi.org/10.4103/jisp.jisp_195_18
Lam, K. F. (2015). In the determination of the most efficient decision making unit in data envelopment analysis. Computers and Industrial Engineering, 79, 76–84. https://doi.org/10.1016/j.cie.2014.10.027
Lee, H., & Shin, J. (2014). Measuring journal performance for multidisciplinary research: An efficiency perspective. Journal of Informetrics, 8(1), 77–88. https://doi.org/10.1016/j.joi.2013.10.004
Miemczyk, J., Johnsen., & Macquet, M. (2012). Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels. Supply Chain Management: An International Journal, 17(5), 478–496. https://doi.org/10.1108/13598541211258564
Petridis, K., Malesios, C., Arabatzis, G., & Thanassoulis, E. (2013). Efficiency analysis of forestry journals: Suggestions for improving journals’ quality. Journal of Informetrics, 7(2), 505–521. https://doi.org/10.1016/j.joi.2013.02.002
RamÃrez-Valdivia, M., Maturana, S., Mendoza-Alonzo, J., & Bustos, J. (2015). Measuring the efficiency of chilean primary healthcare centres. International Journal of Engineering Business Management, 7. https://doi.org/10.5772/60839
Rohanda. (2019). Analisis Bibliometrika Tingkat Kolaborasi, Produktivitas Penulis, Serta Profil Artikel Jurnal Kajian Informasi &. PUSTABIBLIA: Journal of Library and Information Science, 3(1). https://doi.org/10.18326/pustabiblia.v3i1.1-15
Rosenthal, E. C., & Weiss, H. J. (2017a). A data envelopment analysis approach for ranking journals. Omega, 70, 135–147. https://doi.org/10.1016/j.omega.2016.09.006
Rosenthal, E. C., & Weiss, H. J. (2017b). A data envelopment analysis approach for ranking journals. Omega (United Kingdom), 70, 135–147. https://doi.org/10.1016/j.omega.2016.09.006
Saputra, A. (2020). Pemanfaatan Science and Technology Index (SINTA) untuk Publikasi Karya Ilmiah dan Pencarian Jurnal Nasional Terakreditasi. Media Pustakawan, 27 (1). https://doi.org/10.37014/medpus.v27i1.674
Suryaningsum, S., Purwanto, S. H., Kusumastutik, B., & Tanjung, R. W. (2020). Strategi Universitas Meraih Nilai Tinggi Untuk Jurnal Terakreditasi Dalam SINTA. 4(1), 73–79. https://doi.org/http://dx.doi.org/10.30595/jssh.v4i1.6144
Teodorović, D., & Nikolić, M. (2021). Measuring scientific output of researchers by t-index and Data Envelopment Analysis. https://doi.org/10.48550/arXiv.2107.05376
Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252. https://doi.org/10.1016/j.ejor.2008.05.027
Xu, T., You, J., Li, H., & Shao, L. (2020). Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review. Energies, 13(14). https://doi.org/10.3390/en13143548
Adila, N. (2022). Implementation of Web Scraping for Journal Data Collection on the SINTA Website. Sinkron, 7(4), 2478–2485. https://doi.org/10.33395/sinkron.v7i4.11576
Ahmar, A. S., Kurniasih, N., Irawan, D. E., Sutiksno, D. U., Napitupulu, D., Setiawan, M. I., Simarmata, J., Hidayat, R., Busro, Abdullah, D., Rahim, R., & Abraham, J. (2018). Lecturers’ Understanding on Indexing Databases of SINTA, DOAJ, Google Scholar, SCOPUS, and Web of Science: A study of Indonesians. Journal of Physics: Conference Series, 954. https://doi.org/10.1088/1742-6596/954/1/012026
Anand, A., Kringelum, L. B., Madsen, C. Ø., & Selivanovskikh, L. (2021). Interorganizational learning: a bibliometric review and research agenda. The Learning Organization, 28(2), 111–136. https://doi.org/10.1108/TLO-02-2020-0023ï
Braun, T., Glanzel, W., & Andras S, S. (2013). A Hirsch-type index for journals. Scientometrics, 69(1), 169–173. https://doi.org/10.1007/s11192-006-01
Campbell, K., W. Vick, D., D. Murray, A., & F. Little, G. (1999). Journal Publishing, Journal Reputation, and the United Kingdom’s Research Assesment Exercise. Journal of Law and Society, 26, 470–501. https://doi.org/10.1111/1467-6478.00137
Chen, K., Yang, G., & Khoveyni, M. (2017). Measuring Performance Evolution of Academic Journals in Management Science and Operations Research: A DEA-Malmquist Approach. Journal of Management Science and Engineering, 2(1), 34–54. https://doi.org/10.3724/SP.J.1383.201002
Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data Envelopment Analysis: History, Models, and Interpretations. In International Series in Operations Research and Management Science (Vol. 164). Springer New York LLC. https://doi.org/10.1007/978-1-4419-6151-8_1
Durieux, V., & Gevenois, P. A. (2010). Bibliometric Indicators: Quality Measurements of Scientific Publication. Radiology, 255(2), 342–351. https://doi.org/10.1148/radiol.09090626
Evans, J. R., Foster, S. T., & Linderman, K. (2014). A content analysis of research in quality management and a proposed agenda for future research. In Quality Management Journal (Vol. 21, Issue 2, pp. 17–44). American Society for Quality. https://doi.org/10.1080/10686967.2014.11918383
Fatimah, S., & Mahmudah, D. U. (2017). Data Envelopment Analysis (DEA): Pengukuran Efisiensi Kinerja Sekolah Dasar. Cakrawala Pendidikan, 2, 233–243. https://doi.org/10.21831/cp.v36i2.11511
Garfield, E. (1998). Long-term vs. short-term journal impact: does it matter? The Physiologist, 41(3), 113–115. http://www.ncbi.nlm.nih.gov/pubmed/9652169
Glänzel, W. (2006). On the opportunities and limitations of the H-index 1. Science Focus, 1(1), 10–11.
Grifell-Tatje, & Lovell, C. A. K. (1995). A note on the Malmquist productivity index. Economics Letters, 47, 169–175. https://doi.org/10.1016/0165-1765(94)00497-P
Harzing, A.-W., & Van Der Wal, R. (2009). A Google Scholar H-Index for Journals: An Alternative Metric to Measure Journal Impact in Economics & Business. Journal of the American Society for Information Science and Technology, 60(1), 41–46. https://doi.org/10.1002/asi.20953
Ji, Y.-B., & Lee, C. (2010). Data envelopment analysis. The Stata Journal, 10(2), 267–280. https://doi.org/10.22004/ag.econ.152313
Kumar, A. (2018). Is “Impact†the “Factor†that matters...? (Part I). In Journal of Indian Society of Periodontology (Vol. 22, Issue 2, pp. 95–96). Medknow Publications. https://doi.org/10.4103/jisp.jisp_195_18
Lam, K. F. (2015). In the determination of the most efficient decision making unit in data envelopment analysis. Computers and Industrial Engineering, 79, 76–84. https://doi.org/10.1016/j.cie.2014.10.027
Lee, H., & Shin, J. (2014). Measuring journal performance for multidisciplinary research: An efficiency perspective. Journal of Informetrics, 8(1), 77–88. https://doi.org/10.1016/j.joi.2013.10.004
Miemczyk, J., Johnsen., & Macquet, M. (2012). Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels. Supply Chain Management: An International Journal, 17(5), 478–496. https://doi.org/10.1108/13598541211258564
Petridis, K., Malesios, C., Arabatzis, G., & Thanassoulis, E. (2013). Efficiency analysis of forestry journals: Suggestions for improving journals’ quality. Journal of Informetrics, 7(2), 505–521. https://doi.org/10.1016/j.joi.2013.02.002
RamÃrez-Valdivia, M., Maturana, S., Mendoza-Alonzo, J., & Bustos, J. (2015). Measuring the efficiency of chilean primary healthcare centres. International Journal of Engineering Business Management, 7. https://doi.org/10.5772/60839
Rohanda. (2019). Analisis Bibliometrika Tingkat Kolaborasi, Produktivitas Penulis, Serta Profil Artikel Jurnal Kajian Informasi &. PUSTABIBLIA: Journal of Library and Information Science, 3(1). https://doi.org/10.18326/pustabiblia.v3i1.1-15
Rosenthal, E. C., & Weiss, H. J. (2017a). A data envelopment analysis approach for ranking journals. Omega, 70, 135–147. https://doi.org/10.1016/j.omega.2016.09.006
Rosenthal, E. C., & Weiss, H. J. (2017b). A data envelopment analysis approach for ranking journals. Omega (United Kingdom), 70, 135–147. https://doi.org/10.1016/j.omega.2016.09.006
Saputra, A. (2020). Pemanfaatan Science and Technology Index (SINTA) untuk Publikasi Karya Ilmiah dan Pencarian Jurnal Nasional Terakreditasi. Media Pustakawan, 27 (1). https://doi.org/10.37014/medpus.v27i1.674
Suryaningsum, S., Purwanto, S. H., Kusumastutik, B., & Tanjung, R. W. (2020). Strategi Universitas Meraih Nilai Tinggi Untuk Jurnal Terakreditasi Dalam SINTA. 4(1), 73–79. https://doi.org/http://dx.doi.org/10.30595/jssh.v4i1.6144
Teodorović, D., & Nikolić, M. (2021). Measuring scientific output of researchers by t-index and Data Envelopment Analysis. https://doi.org/10.48550/arXiv.2107.05376
Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252. https://doi.org/10.1016/j.ejor.2008.05.027
Xu, T., You, J., Li, H., & Shao, L. (2020). Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review. Energies, 13(14). https://doi.org/10.3390/en13143548
Downloads
Published
2024-03-15
How to Cite
Ibrahim, C. (2024). Relationship of Input and Output Variables with DEA (Data Envelopment Analysis) Approach: Efficiency Implementation Study in Library Science Journal SINTA 2 and 3. Publication Library and Information Science, 7(2), 39–58. https://doi.org/10.24269/pls.v7i2.7778
Issue
Section
Articles
License
Licence
This Journal will place Author as Copyright Holder, The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Author(s)' Warranties
The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
Plagiarism Notice
PUBLIS Editorial board recognizes that plagiarism is not acceptable and therefore establishes the following policy stating specific actions (penalties) upon identification of plagiarism/similarities in articles submitted for publication in PUBLIS. PUBLIS will use Turnitin's originality checking software as the tool in detecting similarities of texts in article manuscripts and the final version articles ready for publication. A maximum of 30% of similarities is allowed for the submitted papers. Should we find more than 30% of the similarity index, the article will be returned to the author for correction and resubmission.
_baru.png)
View Report
