This article is based on a study that critically examined the assumption that institutionalisation may be a contributing factor to homelessness. According to the Guardian…
Abstract
This article is based on a study that critically examined the assumption that institutionalisation may be a contributing factor to homelessness. According to the Guardian newspaper, the number of people sleeping rough in London has leapt by 15% in recent years, although the reasons remain unclear. This study suggests that there may be a positive correlation between leaving an institution and experiencing difficulties in gaining and keeping a house or flat. It also highlights the lack of help and the ignorance experienced by individuals who have left an institution. This isolation may also be partly self‐inflicted, because negative experiences in an institution can result in the individual's becoming reluctant to seek help.
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Ahmad Samarji, Enakshi Sengupta, Sarwat Nauman and Farah Sabbah
The COVID-19 crisis has forced the majority of higher education institutions (HEIs) worldwide to transition to distance education. All countries have faced several challenges…
Abstract
The COVID-19 crisis has forced the majority of higher education institutions (HEIs) worldwide to transition to distance education. All countries have faced several challenges, such as the deteriorating economy, poor ICT infrastructure, and insufficient training, in their transition to distance education, with the severity of these challenges being remarkable for developing countries. This chapter aims to investigate tertiary students’ perceptions, attitudes, experiences, and expectations of their higher education journey amid COVID-19 across four developing countries: Lebanon, Afghanistan, Pakistan, and Bangladesh through an online questionnaire that was administered in each of these countries. This study found that many of the stances, attitudes, concerns, and challenges related to online learning experiences and the emergency status of higher education were common amongst the Lebanese, Afghani, Pakistani, and Bangladeshi participants. The participants across the four countries favored the physical classroom over online learning and identified the disadvantages of distance education that included lack of ICT skills, poor infrastructure, and insufficient training. The few differences that were identified across participants from these countries were mainly attributed to differences in contexts, including socio-economic and political contexts. These findings voice the concerns of one of the key stakeholders, tertiary students, that address the transition to distance education during emergency times and call for immediate intervention from decision and policy-makers.
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Saima Sajid, Syed Saqlain Ul Hassan, Shafique Ur Rehman, Maryam Arooj and Md Nazmus Sadekin
Prioritizing the shift from a traditional economy towards complex integrated economies has been the top priority among policymakers to achieve sustainable development goals…
Abstract
Purpose
Prioritizing the shift from a traditional economy towards complex integrated economies has been the top priority among policymakers to achieve sustainable development goals (SDGs). Countries involved in economic integration must safeguard their labor markets. The Developing-8 (D-8) is an alliance of economic cooperation including Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey, all of which are among the world’s largest labor-abundant countries but have insufficient attention toward labor market policies, especially in gender roles. This issue motivated this study, which aims to investigate the impact of economic complexity on trade through with the interaction of gender equality.
Design/methodology/approach
The annual data for the panel of D-8 countries from 1990 to 2020 were collected. The Driscoll and Kraay (D-K) regression was employed for empirical investigation after observing the presence of autocorrelation, heteroscedasticity and cross-sectional dependency (CSD) across the sample.
Findings
Findings show that the economic complexity index (ECI) and gender equality (GE) have a significant impact on trade openness (TO). Moreover, the interaction of GE and ECI strengthens the relationship between ECI and TO. Therefore, both factors worked together to enhance the trading system by supplying the nation with highly sophisticated and complex products.
Research limitations/implications
Policymakers in D-8 countries should enable equal access to resources, investment and decision-making for both men and women. This leads toward stubble, innovative and complex products that enhance trade and goodwill in the international market.
Originality/value
This study incorporated GE as an interaction term in economic complexity and TO in D-8 countries for the first time, to the best of the authors' knowledge.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0908
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Atefeh Hemmati, Mani Zarei and Amir Masoud Rahmani
Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of…
Abstract
Purpose
Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of data-driven applications and the advances in data analysis techniques, the potential for data-adaptive innovation in IoV applications becomes an outstanding development in future IoV. Therefore, this paper aims to focus on big data in IoV and to provide an analysis of the current state of research.
Design/methodology/approach
This review paper uses a systematic literature review methodology. It conducts a thorough search of academic databases to identify relevant scientific articles. By reviewing and analyzing the primary articles found in the big data in the IoV domain, 45 research articles from 2019 to 2023 were selected for detailed analysis.
Findings
This paper discovers the main applications, use cases and primary contexts considered for big data in IoV. Next, it documents challenges, opportunities, future research directions and open issues.
Research limitations/implications
This paper is based on academic articles published from 2019 to 2023. Therefore, scientific outputs published before 2019 are omitted.
Originality/value
This paper provides a thorough analysis of big data in IoV and considers distinct research questions corresponding to big data challenges and opportunities in IoV. It also provides valuable insights for researchers and practitioners in evolving this field by examining the existing fields and future directions for big data in the IoV ecosystem.
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Ishfaq Ahmed, Talat Islam, Siti Zaleha Abdul Rasid, Farooq Anwar and Arooj Khalid
In the realm of increased competition among coffee café, the need for customer citizenship behavior (CCB) has increased. But the question of how a café can win CCB through…
Abstract
Purpose
In the realm of increased competition among coffee café, the need for customer citizenship behavior (CCB) has increased. But the question of how a café can win CCB through firm-level and individual dispositional factors have not been gained due attention. Against this backdrop, this study aims to investigate a moderated-mediation model to predict CCB through CSR, affective commitment and service quality.
Design/methodology/approach
The data were collected from 797 coffee café visitors between April–June 2019. The respondents were approached through a convenience sampling technique.
Findings
Using both Structural Equation Modeling and Hayes Macros, data analysis proved that CSR significantly predicts affective commitment and CCB. Moreover, it is also witnessed that the presence of high service quality strengthens the mediation mechanism; thus, a moderated-mediation model is supported.
Research limitations/implications
The study is cross-sectional, although the design did not cause a common method variance. The model tested in the study offers a novel mechanism explaining the linking between CSR and CCB through affective commitment and service quality. The findings are useful for the management of café as the large sample size may offer generalizable results.
Originality/value
The study offers a novel way of predicting CCB, the desired customer behavior in the present competitive environment in the coffee market. The usefulness of the findings for management is yet another contribution offered by this study.
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Shahbaz Sharif, Shahab Alam Malik, Nimra Arooj and Omaima Munawar Albadry
This study aims to investigate the effects of HRM practices on administrative and faculty members’ work engagement and organizational commitment at Minhaj University Lahore…
Abstract
Purpose
This study aims to investigate the effects of HRM practices on administrative and faculty members’ work engagement and organizational commitment at Minhaj University Lahore, Pakistan. The primary objectives of the research are to investigate how HRM practices – such as selection and recruitment, training and development, rewards and compensation, job security, employee, participation and performance appraisal, directly and indirectly, influence organizational commitment via work engagement.
Design/methodology/approach
The study uses a quantitative research methodology using a survey questionnaire given to academic and administrative staff at Minhaj University Lahore. For descriptive statistics, SPSS was used, and Smart PLS 3.3.3 was used for structural equation modelling (SEM).
Findings
The results indicate that while selection and recruitment, rewards and compensation and job security do not show a significant direct impact, training and development, employee participation and performance appraisal significantly influence work engagement. Moreover, work engagement also influenced organizational commitment. In addition, work engagement significantly mediates the relationship between training and development, employee participation, performance appraisal and organizational commitment. However, selection and recruitment, rewards and compensation and job security do not show significant mediation effects.
Practical implications
To enhance work engagement in Pakistani HEIs, focus on tailored training, active faculty participation, effective appraisals and competitive compensation while fostering a supportive environment and recognizing accomplishments to increase commitment and institutional performance.
Originality/value
This study emphasizes the importance of particular tactics catered to the regional academic context for institutional performance and sustainability, providing novel insights into enhancing work engagement and organizational commitment in Pakistani higher education.
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Sami Ul Haq, Muhammad Bilal Ashraf and Arooj Tanveer
The main focus is to provide a non-similar solution for the magnetohydrodynamic (MHD) flow of Casson fluid over a curved stretching surface through the novel technique of the…
Abstract
Purpose
The main focus is to provide a non-similar solution for the magnetohydrodynamic (MHD) flow of Casson fluid over a curved stretching surface through the novel technique of the artificial intelligence (AI)-based Lavenberg–Marquardt scheme of an artificial neural network (ANN). The effects of joule heating, viscous dissipation and non-linear thermal radiation are discussed in relation to the thermal behavior of Casson fluid.
Design/methodology/approach
The non-linear coupled boundary layer equations are transformed into a non-linear dimensionless Partial Differential Equation (PDE) by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ordinary differential equations (ODEs). The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.
Findings
The results indicate that the non-linear radiation parameter increases the fluid temperature. The Casson parameter reduces the fluid velocity as well as the temperature. The mean squared error (MSE), regression plot, error histogram, error analysis of skin friction, and local Nusselt number are presented. Furthermore, the regression values of skin friction and local Nusselt number are obtained as 0.99993 and 0.99997, respectively. The ANN predicted values of skin friction and the local Nusselt number show stability and convergence with high accuracy.
Originality/value
AI-based ANNs have not been applied to non-similar solutions of curved stretching surfaces with Casson fluid model, with viscous dissipation. Moreover, the authors of this study employed Levenberg–Marquardt supervised learning to investigate the non-similar solution of the MHD Casson fluid model over a curved stretching surface with non-linear thermal radiation and joule heating. The governing boundary layer equations are transformed into a non-linear, dimensionless PDE by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ODEs. The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.