Determinants of organizational practices and research culture for the enhancement of research performance in Malaysian universities
Keywords:
Academic Staf, Research Performance, Research Output, Public Universities, Factors Affecting Research, Research Management, Qualitative Approach
Abstract
Aim: Through a focus on Universiti Putra Malaysia, one of the best Research Universities in Malaysia, especially in agriculture fields, this study examines the similarities and differences of organisational practises and research culture among academic staff that influence the research performance in Malaysian public universities.
Method: Forty professors and lecturers in science and technology, as well as the social sciences, arts, and humanities, participated in a qualitative focus group interview.
Findings: Research performance factors must be determined after considering the researchers’ perspectives and experiences. This research reveals that the academic staff agree on the existence of 5 possible tangible and 8 intangible factors that contribute to research performance, with one intangible factor emerging as a novel factor that will affect research performance. These things can be used as a yardstick against which other things are measured.
Implications/Novel Contribution: This research fills a gap in the existing literature by illuminating Malaysia’s public universities’ institutional norms and research ethos.
References
Abramo, G., Cicero, T., & DâA˘ ZAngelo, C. A. (2012). A sensitivity analysis of researchersâ ´ A˘ Z productivity ´ rankings to the time of citation observation. Journal of Informetrics, 6(2), 192-201. doi:https://doi.org/10.1016/j.joi.2011.12.003
Abramo, G., Cicero, T., & DâA˘ ZAngelo, C. A. (2013). The impact of unproductive and top researchers on ´ overall university research performance. Journal of Informetrics, 7(1), 166-175. doi:https://doi.org/10.1016/j.joi.2012.10.006
Abramo, G., DâA˘ ZAngelo, C. A., & Caprasecca, A. (2009). Allocative efficiency in public research funding: Can ´bibliometrics help? Research Policy, 38(1), 206-215. doi:https://doi.org/10.1016/j.respol.2008.11.001
Adora, A. L. (2017). StudentsâA˘ Z performance of BSIE and BSHE in drawing subjects in the university of ´ Eastern Philippines. Journal of Advanced Research in Social Sciences and Humanities, 2(4), 168-175.doi:https://doi.org/10.26500/jarssh-02-2017-0302
Ahmad, A. R., Farley, A., & Kim Soon, N. (2014). Categorisation of public universities funding. Asian Social Science, 10(10), 57-67. doi:https://doi.org/10.5539/ass.v10n10p57
Ahmad, A. R., Farley, A., & Naidoo, M. (2012a). Impact of the government funding reforms on the teaching and learning of Malaysian public universities. Higher Education Studies, 2(2), 114-124. doi:https://doi.org/10.5539/hes.v2n2p114
Ahmad, A. R., Farley, A., & Naidoo, M. (2012b). The study of government-university relationship in Malaysian higher education system. International Education Studies, 5(5), 25-34. doi:https://doi.org/10.5539/ies.v5n5p25
Ahmad, A. R., Soon, N. K., & Yee, K. S. (2016). Performance based funding mechanisms: The applicability study in the context of Malaysian public universities. International Business Management, 10(17), 3872-3877. doi:https://doi.org/10.5539/ass.v10n14p13
Ahmad, S. S. (2012). Performance indicators for the advancement of Malaysian research with focus on social science and humanities. Procedia-Social and Behavioral Sciences, 68, 16-28. doi:https://doi.org/10.1016/j.sbspro.2012.12.203
Ahmad, S. S., Rahmat, M. N., Hashim, R., & Saedan, N. (2013). The progress of Malaysian translational social science and humanities research: From research to practice. Procedia-Social and Behavioral Sciences, 105(6), 706-714. doi:https://doi.org/10.1016/j.sbspro.2013.11.073
Amran, F. H., Rahman, I. K. A., Salleh, K., Ahmad, S. N. S., & Haron, N. H. (2014). Funding trends of research universities in Malaysia. Procedia-Social and Behavioral Sciences, 164, 126-134. doi:https://doi.org/10.1016/j.sbspro.2014.11.060
Archambault, É., Vignola-Gagné, É., Côté, G., Larivi, V., & Gingrasb, Y. (2006). Benchmarking scientific output in the social sciences and humanities: The limits of existing databases. Scientometrics, 68(3), 329-342. doi:https://doi.org/10.1007/s11192-006-0115-z
Arockiyasamy, G., Surendheran, K., & Bullard, S. K. (2016). The influence of playing video games on academic performance among graduates of Karunya University. Journal of Advances in Humanities and Social Sciences, 2(3), 119-132. doi:https://doi.org/10.20474/jahss-2.3.1
Auranen, O., & Nieminen, M. (2010). University research funding and publication performance an international comparison. Research Policy, 39(6), 822-834. doi:https://doi.org/10.1016/j.respol.2010.03.003
Baruffaldi, S. H., & Landoni, P. (2012). Return mobility and scientific productivity of researchers working abroad: The role of home country linkages. Research Policy, 41(9), 1655-1665. doi:https://doi.org/10.1016/j.respol.2012.04.005
Bazeley, P. (2010). Conceptualising research performance. Studies in Higher Education, 35(8), 889-903. doi:https://doi.org/10.1080/03075070903348404
Benneworth, P. (2015). Tracing how arts and humanities research translates, circulates and consolidates in society. how have scholars been reacting to diverse impact and public value agendas? Arts and Humanities in Higher Education, 14(1), 45-60. doi:https://doi.org/10.1177/1474022214533888
Benneworth, P., & Jongbloed, B. W. (2010). Who matters to universities? A stakeholder perspective on humanities, arts and social sciences valorisation. Higher Education, 59(5), 567-588. doi:https://doi.org/10.1007/s10734-009-9265-2
Cherney, A., & McGee, T. R. (2011). Utilization of social science research: Results of a pilot study among australian sociologists and criminologists. Journal of Sociology, 47(2), 144-162. doi:https://doi.org/10.1177/1440783310386831
Chou, C. P., Lin, H. F., & Chiu, Y.-j. (2013). The impact of ssci and sci on TaiwanâA˘ Zs academy: An outcry for ´fair play. Asia Pacific Education Review, 14(1), 23-31. doi:https://doi.org/10.1007/s12564-013-9245-1
Chow, C. W., & Harrison, P. (1998). Factors contributing to success in research and publications: Insights of influential accounting authors. Journal of Accounting Education, 16(3-4), 463-472. doi:https://doi.org/10.1016/s0748-5751(98)00030-x
Dundar, H., & Lewis, D. R. (1998). Determinants of research productivity in higher education. Research in Higher Education, 39(6), 607-631. doi:https://doi.org/10.1007/978-94-011-3955-7_2
Edgar, F., & Geare, A. (2013). Factors influencing university research performance. Studies in Higher Education, 38(5), 774-792. doi:https://doi.org/10.1080/03075079.2011.601811
Fedderke, J., & Goldschmidt, M. (2015). Does massive funding support of researchers work? Evaluating the impact of the South African research chair funding initiative. Research Policy, 44(2), 467-482. doi:https://doi.org/10.1016/j.respol.2014.09.009
Finardi, U. (2013). Correlation between journal impact factor and citation performance: An experimental study. Journal of Informetrics, 7(2), 357-370. doi:https://doi.org/10.1016/j.joi.2012.12.004
Gazni, A., & Didegah, F. (2011). Investigating different types of research collaboration and citation impact: A case study of harvard university’s publications. Scientometrics, 87(2), 251-265. doi:https://doi.org/10.1007/s11192-011-0343-8
Geisler, E., & Rubenstein, A. H. (1989). University industry relations: A review of major issues. New York, NY: Springer.
Grimpe, C. (2012). Extramural research grants and scientistsâA˘ Z funding strategies: Beggars cannot be choosers? ´ Research Policy, 41(8), 1448-1460. doi:https://doi.org/10.1016/j.respol.2012.03.004
Gulbrandsen, M., & Smeby, J. C. (2005). Industry funding and university professorsâA˘ Z research performance. ´Research Policy, 34(6), 932-950. doi:https://doi.org/10.1016/j.respol.2005.05.004
Hadjinicola, G. C., & Soteriou, A. C. (2006). Factors affecting research productivity of production and operations management groups: An empirical study. Advances in Decision Sciences, 20(6), 1-16. doi:https://doi.org/10.1155/jamds/2006/96542
Hardré, P. L., Beesley, A. D., Miller, R. L., & Pace, T. M. (2011). Faculty motivation to do research: Across disciplines in research-extensive universities. Journal of the Professoriate, 5(1), 45-50.
Hicks, D. (2012). Performance-based university research funding systems. Research Policy, 41(2), 251-261. doi:https://doi.org/10.1016/j.respol.2011.09.007
Huang, M.-h., & Chang, Y. W. (2008). Characteristics of research output in social sciences and humanities: From a research evaluation perspective. Journal of the American Society for Information Science and Technology, 59(11), 1819-1828. doi:https://doi.org/10.1002/asi.20885
Iqbal, M. Z., & Mahmood, A. (2011). Factors related to low research productivity at higher education level. Asian Social Science, 7(2), 188-190. doi:https://doi.org/10.5539/ass.v7n2p188
Jacolbia, R. B. (2015). Gender equality learning materials methods and strategies subject matter evaluation. Journal of Advances in Humanities and Social Sciences, 1(1), 9-18. doi:https://doi.org/10.20474/jahss1.1.2
Jaskiene, J. (2015). Hrm practices enhancing research performance. Procedia-Social and Behavioral Sciences, 213, 775-780. doi:https://doi.org/10.1016/j.sbspro.2015.11.474
Johnes, J., & Li, Y. (2008). Measuring the research performance of chinese higher education institutions using data envelopment analysis. China Economic Review, 19(4), 679-696. doi:https://doi.org/10.1016/j.chieco.2008.08.004
Jordan, J. M., Meador, M., & Walters, S. J. (1989). Academic research productivity, department size and organization: Further results. Economics of Education Review, 8(4), 345-352. doi:https://doi.org/10.1016/0272-7757(89)90020-4
Jung, J. (2012). Faculty research productivity in Hong Kong across academic discipline. Higher Education Studies, 2(4), 1-13. doi:https://doi.org/10.5539/hes.v2n4p1
Landry, R., Amara, N., & Lamari, M. (2001). Climbing the ladder of research utilization: Evidence from social science research. Science Communication, 22(4), 396-422. doi:https://doi.org/10.1177/1075547001022004003
Muschallik, J., & Pull, K. (2016). Mentoring in higher education: Does it enhance menteesâA˘ Z research ´ productivity? Education Economics, 24(2), 210-223. doi:https://doi.org/10.1080/09645292.2014.997676
Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1), 81-100. doi:https://doi.org/10.1007/s11192-006-0007-2
Ngwaru, J. M. (2017). Multi-literacies pedagogy design: The case of focused ethnographic research and catalytic validity in literacy development. International Journal of Humanities, Arts and Social Sciences, 3(2), 31-43. doi:https://doi.org/10.20469/ijhss.3.20001-2
Pardoe, S. (2014). Research impact unpacked? A social science agenda for critically analyzing the discourse of impact and informing practice. SAGE Open, 4(2), 1-16. doi:https://doi.org/10.1177/2158244014529774
Ramesh Babu, A., & Singh, Y. (1998). Determinants of research productivity. Scientometrics, 43(3), 309-329. doi:https://doi.org/10.1007/bf02457402
Sinclair, J., Barnacle, R., & Cuthbert, D. (2014). How the doctorate contributes to the formation of active researchers: What the research tells us. Studies in Higher Education, 39(10), 1972-1986. doi:https://doi.org/10.1080/03075079.2013.806460
Siti Fatimah, A. Z., Norhafizah, M. S., Noryanti, M., Rozieana, K., & Hassan, R. G. (2015). A study of studentsâA˘ Z´ performance in calculus and their attitudes toward the course using tripartite model. International Journal of Humanities, Arts and Social Sciences, 1(1), 30-35. doi:https://doi.org/10.20469/ijhss.20005
Skoie, H. (1996). Basic research a new funding climate? Science and Public Policy, 23(2), 66-75. doi:https://doi.org/10.1093/spp/23.2.66
Solihah, R., Djuyandi, Y., & Rahmatunnisa, M. (2018). The influence of regional head candidates quality towards political participation of society in the local election. Journal of Advanced Research in Social Sciences and Humanities, 3(2), 52-58. doi:https://doi.org/10.26500/jarssh-03-2018-0202
Syverson, C. (2011). What determines productivity? Journal of Economic literature, 49(2), 326-65. doi:https://doi.org/10.1257/jel.49.2.326
Van Looy, B., Ranga, M., Callaert, J., Debackere, K., & Zimmermann, E. (2004). Combining entrepreneurial and scientific performance in academia: Towards a compounded and reciprocal matthew-effect? Research Policy, 33(3), 425-441. doi:https://doi.org/10.1016/j.respol.2003.09.004
Verbree, M., Horlings, E., Groenewegen, P., Van der Weijden, I., & Van den Besselaar, P. (2015). Organizational factors influencing scholarly performance: A multivariate study of biomedical research groups. Scientometrics, 102(1), 25-49. doi:http://doi.org/10.1007/s11192-014-1437-x
Verleysen, F. T., & Weeren, A. (2016). Clustering by publication patterns of senior authors in the social sciences and humanities. Journal of Informetrics, 10(1), 254-272. doi:https://doi.org/10.1016/j.joi.2016.01.004
White, C. S., James, K., Burke, L. A., & Allen, R. S. (2012). What makes a âAIJresearch starâ ˘ A˘ ˙I? Factors influencing the research productivity of business faculty. International Journal of Productivity and Performance Management, 61(6), 584-602. doi:https://doi.org/10.1108/17410401211249175
Wichian, S. N., Wongwanich, S., & Bowarnkitiwong, S. (2009). Factors affecting research productivity of faculty members in government universities: Lisrel and neural network analyses. Kasetsart Journal, 12(39), 67-78. Wood, F. (1990). Factors influencing research performance of university academic staff. Higher Education, 19(1), 81-100. doi:https://doi.org/10.1007/bf00142025
Abramo, G., Cicero, T., & DâA˘ ZAngelo, C. A. (2013). The impact of unproductive and top researchers on ´ overall university research performance. Journal of Informetrics, 7(1), 166-175. doi:https://doi.org/10.1016/j.joi.2012.10.006
Abramo, G., DâA˘ ZAngelo, C. A., & Caprasecca, A. (2009). Allocative efficiency in public research funding: Can ´bibliometrics help? Research Policy, 38(1), 206-215. doi:https://doi.org/10.1016/j.respol.2008.11.001
Adora, A. L. (2017). StudentsâA˘ Z performance of BSIE and BSHE in drawing subjects in the university of ´ Eastern Philippines. Journal of Advanced Research in Social Sciences and Humanities, 2(4), 168-175.doi:https://doi.org/10.26500/jarssh-02-2017-0302
Ahmad, A. R., Farley, A., & Kim Soon, N. (2014). Categorisation of public universities funding. Asian Social Science, 10(10), 57-67. doi:https://doi.org/10.5539/ass.v10n10p57
Ahmad, A. R., Farley, A., & Naidoo, M. (2012a). Impact of the government funding reforms on the teaching and learning of Malaysian public universities. Higher Education Studies, 2(2), 114-124. doi:https://doi.org/10.5539/hes.v2n2p114
Ahmad, A. R., Farley, A., & Naidoo, M. (2012b). The study of government-university relationship in Malaysian higher education system. International Education Studies, 5(5), 25-34. doi:https://doi.org/10.5539/ies.v5n5p25
Ahmad, A. R., Soon, N. K., & Yee, K. S. (2016). Performance based funding mechanisms: The applicability study in the context of Malaysian public universities. International Business Management, 10(17), 3872-3877. doi:https://doi.org/10.5539/ass.v10n14p13
Ahmad, S. S. (2012). Performance indicators for the advancement of Malaysian research with focus on social science and humanities. Procedia-Social and Behavioral Sciences, 68, 16-28. doi:https://doi.org/10.1016/j.sbspro.2012.12.203
Ahmad, S. S., Rahmat, M. N., Hashim, R., & Saedan, N. (2013). The progress of Malaysian translational social science and humanities research: From research to practice. Procedia-Social and Behavioral Sciences, 105(6), 706-714. doi:https://doi.org/10.1016/j.sbspro.2013.11.073
Amran, F. H., Rahman, I. K. A., Salleh, K., Ahmad, S. N. S., & Haron, N. H. (2014). Funding trends of research universities in Malaysia. Procedia-Social and Behavioral Sciences, 164, 126-134. doi:https://doi.org/10.1016/j.sbspro.2014.11.060
Archambault, É., Vignola-Gagné, É., Côté, G., Larivi, V., & Gingrasb, Y. (2006). Benchmarking scientific output in the social sciences and humanities: The limits of existing databases. Scientometrics, 68(3), 329-342. doi:https://doi.org/10.1007/s11192-006-0115-z
Arockiyasamy, G., Surendheran, K., & Bullard, S. K. (2016). The influence of playing video games on academic performance among graduates of Karunya University. Journal of Advances in Humanities and Social Sciences, 2(3), 119-132. doi:https://doi.org/10.20474/jahss-2.3.1
Auranen, O., & Nieminen, M. (2010). University research funding and publication performance an international comparison. Research Policy, 39(6), 822-834. doi:https://doi.org/10.1016/j.respol.2010.03.003
Baruffaldi, S. H., & Landoni, P. (2012). Return mobility and scientific productivity of researchers working abroad: The role of home country linkages. Research Policy, 41(9), 1655-1665. doi:https://doi.org/10.1016/j.respol.2012.04.005
Bazeley, P. (2010). Conceptualising research performance. Studies in Higher Education, 35(8), 889-903. doi:https://doi.org/10.1080/03075070903348404
Benneworth, P. (2015). Tracing how arts and humanities research translates, circulates and consolidates in society. how have scholars been reacting to diverse impact and public value agendas? Arts and Humanities in Higher Education, 14(1), 45-60. doi:https://doi.org/10.1177/1474022214533888
Benneworth, P., & Jongbloed, B. W. (2010). Who matters to universities? A stakeholder perspective on humanities, arts and social sciences valorisation. Higher Education, 59(5), 567-588. doi:https://doi.org/10.1007/s10734-009-9265-2
Cherney, A., & McGee, T. R. (2011). Utilization of social science research: Results of a pilot study among australian sociologists and criminologists. Journal of Sociology, 47(2), 144-162. doi:https://doi.org/10.1177/1440783310386831
Chou, C. P., Lin, H. F., & Chiu, Y.-j. (2013). The impact of ssci and sci on TaiwanâA˘ Zs academy: An outcry for ´fair play. Asia Pacific Education Review, 14(1), 23-31. doi:https://doi.org/10.1007/s12564-013-9245-1
Chow, C. W., & Harrison, P. (1998). Factors contributing to success in research and publications: Insights of influential accounting authors. Journal of Accounting Education, 16(3-4), 463-472. doi:https://doi.org/10.1016/s0748-5751(98)00030-x
Dundar, H., & Lewis, D. R. (1998). Determinants of research productivity in higher education. Research in Higher Education, 39(6), 607-631. doi:https://doi.org/10.1007/978-94-011-3955-7_2
Edgar, F., & Geare, A. (2013). Factors influencing university research performance. Studies in Higher Education, 38(5), 774-792. doi:https://doi.org/10.1080/03075079.2011.601811
Fedderke, J., & Goldschmidt, M. (2015). Does massive funding support of researchers work? Evaluating the impact of the South African research chair funding initiative. Research Policy, 44(2), 467-482. doi:https://doi.org/10.1016/j.respol.2014.09.009
Finardi, U. (2013). Correlation between journal impact factor and citation performance: An experimental study. Journal of Informetrics, 7(2), 357-370. doi:https://doi.org/10.1016/j.joi.2012.12.004
Gazni, A., & Didegah, F. (2011). Investigating different types of research collaboration and citation impact: A case study of harvard university’s publications. Scientometrics, 87(2), 251-265. doi:https://doi.org/10.1007/s11192-011-0343-8
Geisler, E., & Rubenstein, A. H. (1989). University industry relations: A review of major issues. New York, NY: Springer.
Grimpe, C. (2012). Extramural research grants and scientistsâA˘ Z funding strategies: Beggars cannot be choosers? ´ Research Policy, 41(8), 1448-1460. doi:https://doi.org/10.1016/j.respol.2012.03.004
Gulbrandsen, M., & Smeby, J. C. (2005). Industry funding and university professorsâA˘ Z research performance. ´Research Policy, 34(6), 932-950. doi:https://doi.org/10.1016/j.respol.2005.05.004
Hadjinicola, G. C., & Soteriou, A. C. (2006). Factors affecting research productivity of production and operations management groups: An empirical study. Advances in Decision Sciences, 20(6), 1-16. doi:https://doi.org/10.1155/jamds/2006/96542
Hardré, P. L., Beesley, A. D., Miller, R. L., & Pace, T. M. (2011). Faculty motivation to do research: Across disciplines in research-extensive universities. Journal of the Professoriate, 5(1), 45-50.
Hicks, D. (2012). Performance-based university research funding systems. Research Policy, 41(2), 251-261. doi:https://doi.org/10.1016/j.respol.2011.09.007
Huang, M.-h., & Chang, Y. W. (2008). Characteristics of research output in social sciences and humanities: From a research evaluation perspective. Journal of the American Society for Information Science and Technology, 59(11), 1819-1828. doi:https://doi.org/10.1002/asi.20885
Iqbal, M. Z., & Mahmood, A. (2011). Factors related to low research productivity at higher education level. Asian Social Science, 7(2), 188-190. doi:https://doi.org/10.5539/ass.v7n2p188
Jacolbia, R. B. (2015). Gender equality learning materials methods and strategies subject matter evaluation. Journal of Advances in Humanities and Social Sciences, 1(1), 9-18. doi:https://doi.org/10.20474/jahss1.1.2
Jaskiene, J. (2015). Hrm practices enhancing research performance. Procedia-Social and Behavioral Sciences, 213, 775-780. doi:https://doi.org/10.1016/j.sbspro.2015.11.474
Johnes, J., & Li, Y. (2008). Measuring the research performance of chinese higher education institutions using data envelopment analysis. China Economic Review, 19(4), 679-696. doi:https://doi.org/10.1016/j.chieco.2008.08.004
Jordan, J. M., Meador, M., & Walters, S. J. (1989). Academic research productivity, department size and organization: Further results. Economics of Education Review, 8(4), 345-352. doi:https://doi.org/10.1016/0272-7757(89)90020-4
Jung, J. (2012). Faculty research productivity in Hong Kong across academic discipline. Higher Education Studies, 2(4), 1-13. doi:https://doi.org/10.5539/hes.v2n4p1
Landry, R., Amara, N., & Lamari, M. (2001). Climbing the ladder of research utilization: Evidence from social science research. Science Communication, 22(4), 396-422. doi:https://doi.org/10.1177/1075547001022004003
Muschallik, J., & Pull, K. (2016). Mentoring in higher education: Does it enhance menteesâA˘ Z research ´ productivity? Education Economics, 24(2), 210-223. doi:https://doi.org/10.1080/09645292.2014.997676
Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1), 81-100. doi:https://doi.org/10.1007/s11192-006-0007-2
Ngwaru, J. M. (2017). Multi-literacies pedagogy design: The case of focused ethnographic research and catalytic validity in literacy development. International Journal of Humanities, Arts and Social Sciences, 3(2), 31-43. doi:https://doi.org/10.20469/ijhss.3.20001-2
Pardoe, S. (2014). Research impact unpacked? A social science agenda for critically analyzing the discourse of impact and informing practice. SAGE Open, 4(2), 1-16. doi:https://doi.org/10.1177/2158244014529774
Ramesh Babu, A., & Singh, Y. (1998). Determinants of research productivity. Scientometrics, 43(3), 309-329. doi:https://doi.org/10.1007/bf02457402
Sinclair, J., Barnacle, R., & Cuthbert, D. (2014). How the doctorate contributes to the formation of active researchers: What the research tells us. Studies in Higher Education, 39(10), 1972-1986. doi:https://doi.org/10.1080/03075079.2013.806460
Siti Fatimah, A. Z., Norhafizah, M. S., Noryanti, M., Rozieana, K., & Hassan, R. G. (2015). A study of studentsâA˘ Z´ performance in calculus and their attitudes toward the course using tripartite model. International Journal of Humanities, Arts and Social Sciences, 1(1), 30-35. doi:https://doi.org/10.20469/ijhss.20005
Skoie, H. (1996). Basic research a new funding climate? Science and Public Policy, 23(2), 66-75. doi:https://doi.org/10.1093/spp/23.2.66
Solihah, R., Djuyandi, Y., & Rahmatunnisa, M. (2018). The influence of regional head candidates quality towards political participation of society in the local election. Journal of Advanced Research in Social Sciences and Humanities, 3(2), 52-58. doi:https://doi.org/10.26500/jarssh-03-2018-0202
Syverson, C. (2011). What determines productivity? Journal of Economic literature, 49(2), 326-65. doi:https://doi.org/10.1257/jel.49.2.326
Van Looy, B., Ranga, M., Callaert, J., Debackere, K., & Zimmermann, E. (2004). Combining entrepreneurial and scientific performance in academia: Towards a compounded and reciprocal matthew-effect? Research Policy, 33(3), 425-441. doi:https://doi.org/10.1016/j.respol.2003.09.004
Verbree, M., Horlings, E., Groenewegen, P., Van der Weijden, I., & Van den Besselaar, P. (2015). Organizational factors influencing scholarly performance: A multivariate study of biomedical research groups. Scientometrics, 102(1), 25-49. doi:http://doi.org/10.1007/s11192-014-1437-x
Verleysen, F. T., & Weeren, A. (2016). Clustering by publication patterns of senior authors in the social sciences and humanities. Journal of Informetrics, 10(1), 254-272. doi:https://doi.org/10.1016/j.joi.2016.01.004
White, C. S., James, K., Burke, L. A., & Allen, R. S. (2012). What makes a âAIJresearch starâ ˘ A˘ ˙I? Factors influencing the research productivity of business faculty. International Journal of Productivity and Performance Management, 61(6), 584-602. doi:https://doi.org/10.1108/17410401211249175
Wichian, S. N., Wongwanich, S., & Bowarnkitiwong, S. (2009). Factors affecting research productivity of faculty members in government universities: Lisrel and neural network analyses. Kasetsart Journal, 12(39), 67-78. Wood, F. (1990). Factors influencing research performance of university academic staff. Higher Education, 19(1), 81-100. doi:https://doi.org/10.1007/bf00142025
Published
2018-12-12
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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