A new integrated MCDM approach for lecturers’ research productivity evaluation

Tuấn, Nguyễn Anh; Hue, Truong Thi; Lien, Luong Thuy; Thao, Truong Duc; Quyet, Nguyen Duy; Van, Luu Huu; Anh, Luong Tram

doi:10.5267/j.dsl.2020.5.001

Cited by 11 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An integrated MCDM approach to evaluate several lectures to determine whether e-learning technology can be evaluated in an industrial engineering department of a Turkish university. The study evaluated many factors using MCDM methods in e-learning applications [37,38].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Strategic Approach to Evaluating Higher Education Quality Standards in University Colleges Using Multi-Criteria Decision-Making

et al. 2023

View full text Add to dashboard Cite

Universities worldwide strive to achieve excellence in research, learning, teaching, and community services, which are the pillars of their strategic plans. However, satisfying international ranking criteria might not directly result in achieving their strategic objectives. This paper proposes a new approach to rank university colleges by evaluating their educational quality. Standard sets of criteria from multiple international university ranking systems and a university’s strategic plan’s Balanced Scorecard perspectives were cross-mapped for the evaluation. A new multi-criteria decision-making-based framework was applied to six colleges of a non-profit university in the Middle East. It revealed their performance rankings and contributions to the university’s educational quality objectives. This paper offers a novel approach for universities to develop strategies that satisfy multiple international ranking systems while achieving their strategic goals concurrently and as per their priorities. Implications include informing university leaders on the most contributing colleges and assisting in pinpointing quality shortcomings and their causes. This helps universities design better performance indicators and allocate resources to achieve educational excellence. This paper puts forward a new approach for universities to unify their efforts in satisfying the requirements of multiple international ranking systems while achieving their strategic goals.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A Novel Strategic Approach to Evaluating Higher Education Quality Standards in University Colleges Using Multi-Criteria Decision-Making

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Productive agents in the form of human resources can contribute to the company if the agent has bargaining points such as education, technological expertise, and other things that support labor productivity. The relationship between productivity and labor quality has been widely studied, one of which is in the field of education in universities by evaluating research productivity on lecturers who determine the quality of training and positions at universities [25,26]. The number of scientific publications assesses the objectivity of the assessment of lecturer productivity, the number of book publications, the number of postgraduate students graduating thanks to his guidance, research assistance received as project leaders, average citations per publication, and quality in teaching [27][28][29][30][31].…”

Section: Productivitymentioning

confidence: 99%

The Effect of the Covid-19 Pandemic on Lecturer Productivity by Functional Position

Pujiati¹,

Nihayah²,

Saputra³

et al. 2023

Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022)

View full text Add to dashboard Cite

The purpose of the study was to analyze the effect of the COVID-19 pandemic on lecturer productivity based on functional positions. The research case study conducts at the Faculty of Economics, State University of Semarang. Respondents amounted to 129 lecturers who were divided based on functional positions. Collecting data is a questionnaire and analysis tools used Multivariate Analysis of Variance (MANOVA). The results of the study show that there is a significant difference in the productivity of lecturers who did Work from Office (WFO) and Work from Home (WFH) before and during the Covid-19 pandemic among lecturers who held functional positions as head lectors and teaching staff(not yet have a functional position). Providing motivation, especially for teaching staff related to career paths, must be carried out continuously and sustainably. Planning and mapping human resources according to competencies are essential through lecturer competency training.

show abstract

“…The literature on measuring research productivity has addressed the subject at two levels (at individual researcher or institution level), and can be generally divided into two main categories: (1) research studies that empirically measured productivity (at individual or institution level) in different contexts (research fields, specializations, countries, periods) using existing indexes or indicators such as h-index, total citations, total publications or author position (Kaba, 2020; Lund, 2019; Pratikno, 2018; Darmadji et al , 2018; Hu et al , 2018; Lowry et al , 2007). (2) Research studies that developed new metrics/indices and models for measuring productivity at the individual level (Silva et al , 2015; Dev et al , 2015; Caminiti et al , 2015; Akbaritabar et al , 2018; Levene et al , 2020; Tuan et al , 2020) or at the institution level (Huang, 2012; Sahoo et al , 2016). However, in general, there are limited research articles that have developed new metrics to measure research productivity at the university/institution level, where searching in Scopus database for recent articles on this subject produces limited results.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, this index does not measure the productivity of institutions/universities in addition to using citations as a main indicator. Tuan et al (2020) developed an integrated multicriteria decision-making model for evaluating lecturers’ research productivity. They argued that the evaluation could include objective and subjective criteria and aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

Research Productivity Index (RPI): a new metric for measuring universities’ research productivity

Halaweh¹

2020

IDD

View full text Add to dashboard Cite

Purpose This paper aims to propose a new metric, called the Research Productivity Index (RPI), which can be used to measure universities’ research productivity and benchmark them accordingly at both national and global levels. Design/methodology/approach The paper used a partial-factor productivity measurement as the basis to develop RPI, which considers the ratio of total weighted publications (outputs) to the used input (affiliated researchers). To demonstrate the applicability of the RPI, data were collected from Scopus to assess the research productivity of a university in the UAE, as an example. The methodological steps (algorithm) were demonstrated using mathematical and query functions to extract the required data from the Scopus data set and then compute the RPI value. Findings A new effective and objective metric was developed for measuring universities’ research productivity. Practical Implications This paper suggests that Scopus could use RPI as a metric for measuring the research productivity of each university. RPI can be used by university administrators and government decision-makers to evaluate and rank/benchmark institutions’ research productivity. They can consequently make more effective decisions with regard to the efficient allocation of research budgets and funding. Originality/value This paper distinguishes between measuring research impact and research productivity. It proposes RPI for measuring the latter, whereas most existing metrics measure the former. RPI is an objective measurement, as it is calculated based on a constant period of time, three years, and takes into consideration the university size (i.e. affiliated researchers) in addition to the quality and quantity (total) of research outcomes.

show abstract

A new integrated MCDM approach for lecturers’ research productivity evaluation

Cited by 11 publications

References 1 publication

A Novel Strategic Approach to Evaluating Higher Education Quality Standards in University Colleges Using Multi-Criteria Decision-Making

A Novel Strategic Approach to Evaluating Higher Education Quality Standards in University Colleges Using Multi-Criteria Decision-Making

The Effect of the Covid-19 Pandemic on Lecturer Productivity by Functional Position

Research Productivity Index (RPI): a new metric for measuring universities’ research productivity

Contact Info

Product

Resources

About