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Technology acceptance research in the L&T contexts has a necessity for enabling the significant inclusion of technology in educational settings (Scherer et al., 2019). Despite the propensity for information communication and technology to enhance the teaching and learning process, the acceptance or rejection of learning technology is essential. Technological acceptance model (TAM) has evolved to become a key model to depict the predictors of human behaviour towards prospective rejection or acceptance of technology (Granic and Marangunic, 2019). In their recent systematic review of the extensive literature on TAM, Granic and Marangunic (2019) found that most of TAM research originate from Asia (Taiwan, Malaysia, South Korea and China), Europe, North America, Middle East and Africa. To the best of the authors’ knowledge, research on TAM has been very scarce in small island economies. This study aims to guide the empirical model of Al-Fraihat et al. (2020), which wants to uncover the quality of learning by understanding the intentions and satisfaction of tertiary education learners on the acceptance and use of information technology (IT) for e-learning, during the confinement period.

This study adopted a quantitative approach. The proposed framework was borrowed from Al-Fraihat et al. (2020) and amended based on the contextual aspect of the study. The model proposed by Al-Fraihat et al. (2020) takes into consideration the quality of e-learning through technical system quality, information quality, service quality, educational system quality, support system quality, learner quality and instructor quality. The framework has as the basis the TAM where the perceived satisfaction, perceived usefulness, use and benefits of E-learning have been evaluated. This current study evaluated the quality of the e-learning platform from the students’ perspective in the confinement period. The service quality construct has been broken into three different dimensions, namely, service quality from an IT perspective, service quality from an administration perspective and service quality from the faculty represented by the Head of Departments. Another dimension has been added so as to evaluate the learner’s point of view when studying during confinement, namely, confinement and learning quality.

The findings of this study did not support H25, that is the hypothesis that perceived usefulness has a positive relationship with perceived satisfaction, in contradiction to similar previous studies that confirmed the relationship (Al-Sabawy et al., 2011; Al-Fraihat et al., 2020). However, interestingly, the findings of this research supported the relationship between perceived satisfaction and benefits (H26). This means that the greater the satisfaction of the learner, the greater the benefits on students. The results of this study further supported that there is a positive relationship between perceived usefulness and benefits (H27); there is a positive relationship between perceived usefulness and use (H28); and finally, there is a positive relationship between use and benefits (H29). Such relationships were also found in the existing literature (Al-Sabawy et al., 2011; Cidral et al., 2018; Al-Fraihat et al., 2020). The perception of the usefulness of the e-learning system determines the benefits, usefulness and system use. When the learners feel that the system is enhancing their learning, learning activities and performance, hence learning more effectively, they tend to see the e-learning system as useful and they are more likely to use the e-learning system/tool. The use of the tool/system, thus positively impacts the benefits that the learners derived from the system.

The COVID-19 and overnight decision for a country-wide lockdown drastically changed the education sector. School and all teaching institutions were closed. However, most universities had to review their teaching and learning models to introduce e-learning to ensure the semester’s progress. Hence, the use of the various LMS tools became a necessity overnight. This study on e-learning in Mauritius uses the TAM as the theoretical foundation because the theory has long been extensively used to investigate the quality of learning eg. Davis (1989), Scherer et al. (2019), Al-Fraihat et al. (2020).

The purpose of this paper is to identify the key determinants of employability of information technology (IT) graduates in Vietnam and examines their impact on self-perceived employability and the duration of the job search.

This study is based on data collected from the responses to an online survey from more than 500 IT graduates from different higher education institutions in Vietnam. Employability, its outcome and its key determinants were integrated into one model. Exploratory factor, confirmatory factor and path analyses were conducted to test the model by means of structural equation modeling.

The self-perceived employability of IT graduates in Vietnam was determined by graduates’ English language skills, soft skills, adaptability skills, the quality of the institution’s IT program and job seeking efforts. Results also indicated that work experience, professional competencies and employability made the job search duration shorter, but job seeking efforts made job search duration longer.

Only determinants from individual and institutional aspects were considered, and the sample was also limited to one profession in one country.

Results can inform students and educators about the improvable areas of employability enhancement.

This study fills a gap in the employability research by providing a quantitative explanation about relationships among the employability, the job search duration and their key predictors from different aspects.

The emerging market economies, in particular, have become victim to the laundering activities which have damaged investment potentials, undermined governance, fostered crime and corruption, and decreased tax revenues. In this chapter, we construct a macrotheoretic framework to analyze money laundering in the form of tax evasion by individuals in an economy in the events of financial autarky and free trade. In other words, our theoretical model allows us to examine if movement from autarky to a state of financial integration whets the degree of financial malpractice like money laundering.

The study aims to empirically test the effects of antecedents on behavioral intentions towards Uber-ridesharing services. The antecedents are perceived value (hedonic, utilitarian, epistemic, and symbolic value), e-Attitude, and technology attachment (smartphone use, Internet use, and e-Involvement). Moreover, the study explores the mediating effect of three-dimensional perceived value (hedonic, utilitarian, and epistemic value) and e-Attitude; and the moderating effect of symbolic value on behavioral intentions towards Uber-ridesharing services.

A mixed survey (75% Google Form, 25% face to face) was conducted in Bangladesh to collect data from customers who had previously participated in Uber-ridesharing services, one of the largest ridesharing platforms in Bangladesh. Subsequently, data were analyzed based on the structural equation modeling technique using SmartPLS 3.3.3.

The study findings revealed that hedonic value, utilitarian value, epistemic value, symbolic value, e-Attitude, smartphone use, internet use, e-Involvement had a direct significant positive impact on behavioral intentions. Also, e-Attitude significantly impacted hedonic, utilitarian, and epistemic value. In addition, Smartphone use, internet use, and e-Involvement significantly influenced e-Attitude. Moreover, the study findings revealed that hedonic, utilitarian, and epistemic value partially mediates between e-Attitude and behavioral intentions; and e-Attitude partially mediates between Smartphone use, Internet use, and e-Involvement and hedonic, utilitarian, and epistemic value and behavioral intentions. Furthermore, the results indicate that epistemic value significantly moderates the relationship between hedonic, utilitarian, and epistemic value and behavioral intentions.

This study uncovers some insightful findings for ridesharing services providers and managers helping to build customers' positive behavioral intentions towards Uber-ridesharing services. In particular, practitioners can improve cost-efficiency, hedonic and symbolic aspects, availability of rides of Uber-ridesharing services. Moreover, the ridesharing services managers should adopt technology-based service opportunities.

The study enriches sharing economy literature, especially ridesharing services, exploring the direct effect of epistemic value, e-Attitude, smartphone use, Internet use, and e-Involvement on behavioral intentions. Moreover, this study presents smartphone use, Internet use, and e-Involvement as new antecedents of e-Attitude and behavioral intentions. Furthermore, the study explores the mediating effect of hedonic, utilitarian, and epistemic value and e-Attitude; and the moderating effect of symbolic value in Uber-ridesharing service perspective.

The purpose of this study is to present factors associated with process barriers in implementing lean manufacturing within the small- and medium-sized enterprises (SMEs).

This study was conducted to identify the process barriers in implementing lean manufacturing in SMEs. Moreover, by a thorough and detailed analysis, process barriers of high rejection rate, employee absenteeism and frequent breakdown with 29 associated variables were identified as the most critical process barriers and were used to develop the questionnaire. Structural equation modeling was used to build the measurement model by drawing on samples of 128 SMEs in Kerala, a state in India. Later, the model was validated using statistical estimates. Data analysis helps to determine whether to accept or reject the hypothesis on the basis of the measurement model.

Several process barriers that prevent the successful implementation of lean manufacturing within SMEs are identified. These are lack of a training program, lack of periodical maintenance, low-quality standard materials from suppliers, bad vendor inspection, wear and tear of machines, communication gap between supervisors and workers, non-maintenance of a good employee–employer relationship, boredom on the job, overrunning machines beyond the capability, carelessness in work, not replacing worn damage parts periodically, ignoring warning signals of the machine classified as the most critical process barrier among the high rejection rate, employee absenteeism, frequent breakdown factors.

First, the sample size of the study was relatively small (128). Second, data collection was restricted to one geographical area in India, i.e. Kerala, a state in India, giving rise to operational constraints. Third, the study was cross-sectional; a longitudinal study must be performed to reinforce the findings.

The present study has explored an unfocused area of lean implementation in SMEs. The results are expected to help researchers, academics and professionals in the domain of lean manufacturing.

Governments of many countries around the world are helping and encouraging the implementation and understanding of the lean manufacturing system by providing financial assistance for training professionals and establishing professional associations. However, many industries have not been successful in lean implementation. This research aims to develop a strategy to tackle process barriers for successful lean implementation.

Very little research has been carried out in exploring process barriers in implementing lean manufacturing in SMEs. This paper will provide value to academics, researchers and practitioners of lean by providing insight into significant process barriers for lean implementation, especially in Indian industries.

The purpose of this paper is to comprehensively examine Ghana’s tax reform programme and investigate whether it has facilitated the revenue mobilization capacity of the overall tax system and of individual taxes on the basis of estimates of tax buoyancies and elasticities.

This study uses the proportional adjustment approach to estimate tax buoyancies and elasticities of the overall tax system and of individual taxes for the pre and post tax reform period over the 1970-2013 period.

The results show that in general, tax reforms had a positive influence on the overall tax structure and on the individual tax handles as evidenced in the more than unity buoyancy and elasticity. All the individual taxes, except excise duties, recorded buoyancies and elasticities of more than unity during the reform period.

Tax authorities ought to move away from income-based taxation which discriminates against saving and investment, in favour of consumption-based taxes in conformity with international standards. Emphasis must also be placed on those taxes that have high revenue elasticities. These taxes include the personal, corporate, the Value Added Tax, and the import duties.

In this study, the paper extends and disaggregates the data on taxes, account for discretionary tax changes from the historical time series data, and use the adjusted historical time series data to estimate tax elasticity. The study therefore provides an in-depth understanding of the effects of the tax reforms on the overall tax system and of individual taxes in Ghana.

Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper is to analyze the current situation on successful case of funding application and provides suggestions on how libraries can expand services to help scientific funding application.

This paper utilizes the co-occurrences of disciplinary application codes to construct an interdisciplinary knowledge flow network. Based on 193517 sponsored projects of the National Natural Science Foundation of China, the authors study the interdisciplinary flow of knowledge and investigate the evolution of network structure using social network analysis.

Results show that the interdisciplinary knowledge flow network is not only a small-world network but also a scale-free network. Two main knowledge flow paths across scientific departments exist, showing the heterogeneity of knowledge distributions across scientific disciplines. The authors also find that if two disciplines in the same scientific department both have a wide influence to other disciplines, they are more prone to link together and create a knowledge chain.

Funding consultation currently has not occupied an advisory role either in library services or in the research team. This paper conducts a co-occurrences network analysis of interdisciplinary knowledge flow in scientific funding projects. Considering the complexity of funding application and the advantage of traditional library services on information collection, integration, and utilization, the authors conclude the possibility and necessity of embedding funding consultation in traditional library services.

This study aims to identify which actors play leadership and brokerage roles in voluntary environmental collaborations and how the corporate social responsibility (CSR) of actors is associated with such voluntary networking behaviours in Cambodia.

To achieve these purposes, this study mainly uses social network analysis to capture the properties of networking behaviours in the voluntary collaborative activities underlying three main environmental issues: waste disposal, energy and water pollution. The study focusses on the collaborative efforts undertaken by actors across multiple sectors: governmental organizations, for-profits and civil society organizations.

The results show that the government plays the leading role in voluntary environmental collaborations across environmental issues; however, the actual implementation is expanded to be undertaken by non-state actors. Moreover, CSR has positive associations with networking and brokerage roles; therefore, this study reveals the utility of various voluntary policy instruments.

This study demonstrates the role of governmental initiation and its influence on non-state actors, even for voluntary environmental tools. The CSR initiatives of private actors can also be supported and encouraged by the government, which will promote participation by private actors in voluntary collaborative networks and their leading role as network facilitators.

By understanding the positions and roles of each actor in the environmental collaborative networks, environmental policymakers can better understand the possibilities and the capabilities of each actor both to improve policy design and learning and to respond to policy changes effectively.

Voluntary collaboration and CSR are non-regulated policy tools; however, they can be promoted and introduced into society by governmental organizations, and they affect each other.

The purpose of this paper is to ascertain the performance of Indian hospitals in recent past and derive meaningful insights for policy makers and practicing managers in this area.

This paper analyses the technical efficiency of select Indian private hospitals using three related methodologies: data envelopment analysis (DEA), Malmquist Productivity Index (MPI) and Tobit regression. Two output variables (i.e. total income and profit after tax) and four input variables (i.e. cost of labour, net fixed assets, current assets and other operating expenses) were selected for the purpose of the study.

DEA analysis has shown that 14 out of 37 hospitals are found to be efficient under the Cooper and Rhodes model of DEA and 20 out of 37 hospitals are efficient under the Banker, Charles and Cooper model of DEA. The empirical results pertaining to MPI indicate an overall productivity progress in the private Indian hospital industry during the study period, which is largely due to technological advancement in the industry. Tobit regression demonstrates that chain affiliated, specialized and multi-city located hospitals exhibit a higher technical efficiency.

This study has a limitation with reference to the unavailability of data on the input and output parameters of the model. The data related to the number of beds, number of doctors, number of nurses, etc., were not available for the period under consideration.

This study seems to be one of the few studies applying productivity and performance analysis using DEA, MPI and Tobit regression for the Indian private hospital industry.