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Article
Publication date: 3 January 2017

Naif Alghamdi, Alexandra den Heijer and Hans de Jonge

The purpose of this paper is to analyse 12 assessment tools of sustainability in universities and develop the structure and the contents of these tools to be more…

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Abstract

Purpose

The purpose of this paper is to analyse 12 assessment tools of sustainability in universities and develop the structure and the contents of these tools to be more intelligible. The configuration of the tools reviewed highlight indicators that clearly communicate only the essential information. This paper explores how the theoretical concept of a sustainable university is translated into more measurable variables to support practitioners and academics in assessing sustainability in universities.

Design/methodology/approach

The main method for this paper was a desk study approach, which incorporated reviewing research papers, graduate theses, academic books, network platforms and websites.

Findings

The tools reviewed share similar traits in terms of criteria, sub-criteria and indicators. Five benchmarks are essential for a holistic framework: management; academia; environment; engagement and innovation.

Practical implications

This research can not only be used to improve existing assessment tools but also as a means to develop new tools tailored for universities that face a variety of challenges and lack the ability to measure their sustainability policies.

Social implications

Making higher education more sustainable through all the criteria mentioned influences students, as well as staff, to maintain a culture of sustainability.

Originality/value

This study contributes to the literature by simplifying and detailing the structure and contents of the tools in a way which indicators are shown, giving a full picture of these tools to enable universities to be more aware of the sustainability issues that affect them.

Details

International Journal of Sustainability in Higher Education, vol. 18 no. 1
Type: Research Article
ISSN: 1467-6370

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International Journal of Educational Management, vol. 28 no. 5
Type: Research Article
ISSN: 0951-354X

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Article
Publication date: 1 December 2016

Julie Nash

This study investigated the effect of cooperative learning on the performance of female college students enrolled in “writing and research” courses at Prince Mohammad Bin…

Abstract

This study investigated the effect of cooperative learning on the performance of female college students enrolled in “writing and research” courses at Prince Mohammad Bin Fahd University (Al Khobar, Saudi Arabia). Cooperative learning (CL) activities were employed in place of traditional lectures and group activities. Two populations were compared, one with the CL methodology and one with traditional methodology. The results were assessed by final exam scores, final course grades, the number of students passing, pre and post-tests and a self-report survey. We found that this sample of Arab college students performed at a higher level in the CL classes than in the traditional classes. Findings suggest that CL is an effective method for teaching Arab college students.

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Learning and Teaching in Higher Education: Gulf Perspectives, vol. 13 no. 2
Type: Research Article
ISSN: 2077-5504

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Article
Publication date: 15 May 2020

Muhammad Zahid, Haseeb Ur Rahman, Wajahat Ali, Muhammad Nauman Habib and Fazaila Shad

The integration of sustainability is more matured in the corporate sector. However, the topic received less attention in higher education institutions (HEIs). Therefore…

Abstract

Purpose

The integration of sustainability is more matured in the corporate sector. However, the topic received less attention in higher education institutions (HEIs). Therefore, this study aims to conceptualize an integration framework and proposes sustainability integration and implementation index in the HEIs.

Design/methodology/approach

The index was developed from previous literature. For the implementation of the index, three universities were selected. The required data collected from websites, internal documents and interviews with the high officials of these universities.

Findings

Sample universities have somehow inclination toward the broad agenda of sustainable development, but still, they lack integration, implementation and reporting of their sustainable practices. Moreover, the departments have positive and practical intent toward sustainability especially regarding the environment, designing curriculum, teaching, research activities and volunteerism. However, in assessment, the social and economic contributions of these universities revealed to be somewhat mild. The findings also evidenced heterogeneity among the sample institutions to follow the said agenda which reflects a lack of awareness and policy or a centralized or regulatory push from the top.

Research limitations/implications

The study is limited to three universities in Khyber Pakhtunkhwa, Pakistan. Hence, in the future, the framework and index may be tested in other universities of the country or region. Nevertheless, the study carries theoretical significance in the literature of sustainability.

Practical implications

The study has practical implications for academia, regulatory bodies and universities to integrate, implement and report sustainability in HEIs.

Originality/value

The study proposes and validates the sustainability integration and implementation index in HEIs. The index is unique and has originality or value particularly for HEIs of the developing countries.

Details

International Journal of Sustainability in Higher Education, vol. 22 no. 1
Type: Research Article
ISSN: 1467-6370

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Article
Publication date: 19 August 2021

Stephen T. Homer and Kuan Siew Khor

This paper aims to highlight a multidimensional model of sustainability practices that are considered meaningful and practical for implementation by higher education…

Abstract

Purpose

This paper aims to highlight a multidimensional model of sustainability practices that are considered meaningful and practical for implementation by higher education institutions (HEIs).

Design/methodology/approach

The Concept System® Global MAX© software facilitated the bottom-up approach of this study, where 32 staff and students of a private HEI were prompted with the question, “What design features or facilities should the university building have for you to consider the building sustainable?” Their opinions were collected as statements via online brainstorming and the process was followed through with the sorting and rating of reduced statements. The software was also used to perform multi-dimensional scaling and cluster analysis to generate the findings of this study.

Findings

An eight-cluster solution was proposed based on the themes within respective clusters. Respondents rated the importance of sustainability resource usage and sustainability and technology highly. Whilst sustainable campus facilities appeal to students, education for sustainable development were more important to staff.

Originality/value

The community-based participatory research recommends activities that enhance the adoption of sustainable development in making universities a “living lab” for sustainability.

Details

International Journal of Sustainability in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-6370

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Article
Publication date: 29 April 2021

Heng-Yang Lu, Yi Zhang and Yuntao Du

Topic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet…

Abstract

Purpose

Topic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet Allocation may suffer from the sparsity problem when dealing with short texts, which mostly come from the Web. These models also exist the readability problem when displaying the discovered topics. The purpose of this paper is to propose a novel model called the Sense Unit based Phrase Topic Model (SenU-PTM) for both the sparsity and readability problems.

Design/methodology/approach

SenU-PTM is a novel phrase-based short-text topic model under a two-phase framework. The first phase introduces a phrase-generation algorithm by exploiting word embeddings, which aims to generate phrases with the original corpus. The second phase introduces a new concept of sense unit, which consists of a set of semantically similar tokens for modeling topics with token vectors generated in the first phase. Finally, SenU-PTM infers topics based on the above two phases.

Findings

Experimental results on two real-world and publicly available datasets show the effectiveness of SenU-PTM from the perspectives of topical quality and document characterization. It reveals that modeling topics on sense units can solve the sparsity of short texts and improve the readability of topics at the same time.

Originality/value

The originality of SenU-PTM lies in the new procedure of modeling topics on the proposed sense units with word embeddings for short-text topic discovery.

Details

Data Technologies and Applications, vol. 55 no. 5
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 15 June 2020

Seyed-Hadi Mirghaderi

This paper aims to develop a simple model for estimating sustainable development goals index using the capabilities of artificial neural networks.

Abstract

Purpose

This paper aims to develop a simple model for estimating sustainable development goals index using the capabilities of artificial neural networks.

Design/methodology/approach

Sustainable development has three pillars, including social, economic and environmental pillars. Three clusters corresponding to the three pillars were created by extracting sub-indices of three 2018 global reports and performing cluster analysis on the correlation matrix of sub-indices. By setting the sustainable development goals index as the target variable and selecting one indicator from each cluster as input variables, 20 artificial neural networks were run 30 times.

Findings

Artificial neural networks with seven nodes in one hidden layer can estimate sustainable development goals index by using just three inputs, including ecosystem vitality, human capital and gross national income per capita. There is an excellent similarity (>95%) between the results of the artificial neural network and the sustainable development goals index.

Practical implications

Instead of calculating 232 indicators for determining the value of sustainable development goals index, it is possible to use only three sub-indices, but missing 5% of precision, by using the proposed artificial neural network model.

Originality/value

The study provides additional information on the estimating of sustainable development and proposes a new simple method for estimating the sustainable development goals index. It just uses three sub-indices, which can be retrieved from three global reports.

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Article
Publication date: 23 June 2021

Amir Masoud Rahmani, Ali Ehsani, Mokhtar Mohammadi, Adil Hussein Mohammed, Sarkhel H. Taher Karim and Mehdi Hosseinzadeh

The concept of e-learning is essential in employee education since it provides different ways to develop employees' knowledge, skills and attitudes using modern…

Abstract

Purpose

The concept of e-learning is essential in employee education since it provides different ways to develop employees' knowledge, skills and attitudes using modern technologies. E-learning has been overgrowing in employee education because learning can be held anytime and anywhere. In order to succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address the factors affecting its success. This paper aims to test the role of internet of Things (IoT)-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework.

Design/methodology/approach

E-learning systems receive ever-increasing attention in academia, business and public administration. With the development of e-learning, employee education has also benefited from its capacities in various fields. To succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address its success. The proposing of Information and Communications Technology (ICT)-based technologies such as the IoT, cloud, etc., in e-learning, can help transform education. Therefore, this paper aims to test the role of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework. The research model and the data collected from the questionnaires have been analyzed via Smart PLS 3.2. This study has utilized the SEM to evaluate the causal model's reliability and validity based on measurement. According to the literature in this study, a framework has been proposed that examines the impact of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on employees' learning programs' success.

Findings

The results have shown that IoT-based systems, cloud-based services, virtual classes and evaluation tools are four significant factors affecting attitude, content management and creativity. The results have also shown that attitude, content management and creativity are three significant factors affecting employees' learning programs' success. The factors above are considered critical in explaining the success of employees' e-learning programs, but, as far as we know, there has been no study in which all these factors were demonstrated together.

Practical implications

From a practical viewpoint, the statistical outcomes support the important role of the following factors: IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity. Henceforth, aspects relating to these factors got the attention of any organization to develop e-learning processes.

Originality/value

This research will contribute to the literature related to employees' e-learning programs' success by integrating all the mentioned variables. As far as we know, it is the first study to test these variables in Iran.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 28 October 2021

Ramakrishnan Raman and Dhanya Pramod

In India, one of the prime focuses of a post-graduate management program is to prepare students and make them job-ready. Masters in Business Management (MBA) program helps…

Abstract

Purpose

In India, one of the prime focuses of a post-graduate management program is to prepare students and make them job-ready. Masters in Business Management (MBA) program helps students to imbibe theoretical and practical skills which are required by the industry, which can make them hit the ground running from the day they start their career. Many students (almost 40–50%) get pre-placement offers based on their performance in summer internship. The selection for summer interns by the corporate happens within a few months of the student joining the MBA program. Signaling theory in education indicates that the level of productivity of an individual is independent of education, but the educational qualification acts as a testimony for higher ability. However, this theory does not explain the reason for the mismatch between “education and work” or “education and the disparity in salary” between individuals who earn differently but have the same qualification. The paper aims to explore three attributes namely – “employability”– the chance of being employable; “pre-placement offers” – the chance of securing a job offer based on the performance in internship and “salary” – the chance of bagging a good job offer with a high salary.

Design/methodology/approach

The authors have used longitudinal data consisting of 1,202 students who graduated from reputable business schools (B-Schools) in India. In the study, the authors have used predictive analytics on six years data set that have been gathered. The authors have considered 24 attributes including educational background at the graduate level (BE, B Tech, B Com, BSc, BBA and others), score secured in class ten (high, medium and low), score secured in class twelve (high, medium and low), score secured in graduation (high, medium and low), competency in soft skills (high, medium and low), participation in co-curricular activities (high, medium and low) and social engagement status (high, medium and low).

Findings

The findings of the study contradict the signaling theory in education. The findings suggest that the educational qualification alone cannot be the predictor of the employability and the salary offered to the student. The authors note that the better performance at a lower level of qualification (class 12) is the strong predictor in comparison to the student performance at their graduation and post-graduation level. The authors further observed at the post-graduate management education level that soft skills and participation in co-curricular activities are the major deciding factors to predict employability and pre-placement job opportunity and marks secured in class 12 is one more factor that gets added to this list to predict salary. The paper can immensely help management graduates to focus on key aspects that can help to hone appropriate skills and also can help management institutions to select the right students for management programs.

Research limitations/implications

The analysis and the predictive model may apply to Indian B-Schools wherein the quality of students are almost the same or better. Predictive analytics has been used to explain the employability of management graduates alone and not any other.

Practical implications

The authors' study might be useful for those students who often fail to understand “what” skills are the most important predictors of their performance in the pre-placement and final-placement interviews. Moreover, the study may serve as a useful guide to those organizations that often face dilemmas to understand “how” to select an ideal candidate for the particular job profile from a campus.

Originality/value

The authors believe that the current study is one of the few studies that have attempted to examine the employability of management graduates using predictive analytics. The study further contradicts that the signaling theory in education does not help better explain the employability of the students in extremely high-paced business environments.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

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