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The world after the pandemic of Covid-19 is looking at a different environment in teaching and learning and primarily being influenced by general online learning readiness. Perception towards the measurement of online learning readiness would also need to change. This study seeks to determine whether Malaysian undergraduate students are ready to study online if the Movement Control Order (MCO) is reimposed.

Using an online poll, this study analysed 299 undergraduate students from Malaysia's public and private universities. The collected data were then analysed using SmartPLS software to test the measurement model and structural equation modelling.

The findings of this study indicate that computer self-efficacy and self-directed learning have a substantially positive link with online learning preparedness among Malaysian undergraduate students.

Findings in this study indicate that universities should draw comprehensive plans to enhance students' readiness in terms of indicators such as technology usage, technology availability, computer and internet efficacy, self-directed learning and attitude. One of the aspects that require change is online communication self-efficacy. Thus, there is a need for improvement, or this would affect undergraduates adversely, especially in the event of future MCO.

The originality of this article lies in the time frame this study was conducted, where cases of coronavirus infection are seen to increase around the world and there is a possibility that movement restrictions will be re-enforced. The findings in this study are expected to give insight to the government in the effort of the national higher education plan. By not undervaluing previous research models, this research model should give a new perspective to the academic literature on online learning among undergraduate students.

The present study aims to examine and explain cultural heritage destination by applying multiple dimension image model (cognitive–affective–conative aspects).

A total of 233 international heritage-based tourists were surveyed on-site at some of the most prominent historical attractions in Malacca, one of the first cities in Malaysia declared as a UNESCO World Heritage Site. The covariance-based structural equation modelling was applied to examine the hypotheses.

The structural equation modelling validated that cognitive image aspects such as living culture, intangible and tangible are affected positively. The effects are statistically significant for conative and affective images. On the other hand, cognitive tangible image is an aspect that impacted affective image to a lesser degree than conative image. Whereas affective image attributes were found to have significant and positive influence on conative image.

This study enriches the limited empirical research study on heritage image conceptualisation by expanding into tri-component model. The destination image has garnered a great deal of attention, particularly due to its significant and impactful influence on the decision-making and the sustainable behaviour of tourists, and it has since become the subject of many studies in the tourism and hospitality literatures. But most research concerning heritage image for destinations has considered the construct uni-dimensionally.

The purpose of this paper is to study the correlational and effect relationship between Halal standards and the performance of Halal-certified Palestinian Food Companies.

Quantitative method was used, using a questionnaire survey of 40 Halal-certified Palestinian organizations out of a total of 47 certified organizations, the analysis was done using the partial least squares structural equation modeling (PLS-SEM) and the literature review was conducted using a well-known systematic literature review methodology.

Halal implementation and certification had a positive impact on performance (operational, financial and marketing). The depth/intensity of implementation fully mediates operational performance and partially mediates marketing and financial performance.

As the sample size is small, it is recommended to conduct the study using a larger sample size, once the number of Palestinian Halal-certified organizations increases. A longitudinal or panel study is recommended to capture data that are more accurate and avoid objectivity and bias issues using a cross-sectional research design method. Finally, the study recommends to conduct additional research in the field of Halal awareness for customers to gage their intention and welling to buy Halal products within the Middle East region.

The importance of this study exists in the lack of previous Halal-related studies in the Palestinian context and the previously described gap in the literature. Nevertheless, the quality management drivers and impact are limited in the Palestinian context compared with other contexts; the results of the previously published studies revealed mixed results such as the drivers of quality management are based on the type of business. Finally, this research gives small insights and directions toward conducting additional studies concerning customer awareness about Halal products.

The purpose of this study is to ascertain service quality (halal values, assurance, meal quality, reliability, security, system and traceability) and perceived risks (financial, quality, environment, social, time, psychology and health) and its influence on satisfaction, as well as trust concerning online halal food delivery system (OHFDS).

This study uses quantitative methodology, through an online survey, by using purposive sampling across a sample size of 423 respondents. The analysis of data was conducted using SmartPLS.

The results of the findings indicate that assurance and halal values have an influence on satisfaction, as well as trust; nonetheless, only reliability has an impact on satisfaction. On the other hand, perceived health and financial risks have negative influence on trust and satisfaction toward OHFDS. In addition, perceived psychological and financial risks are found to have negative impacts on trust of OHFDS.

The theoretical value of this study is the testing of perceived service quality and risks concerning OHFDS in the same model, thereby contributing to a deeper understanding of its impact on trust and satisfaction toward the online food service delivery industry. The results of this study may appear as a starting point for researchers who wish to conduct further studies on the same topic.

This study suggests that the service providers need to boost their efforts in establishing high quality service and, simultaneously, reduce perceived risks, to develop satisfaction and trust toward OHFDS.

The long-term consequence of the business's achievement is that it makes it simpler for customers to have confidence in, be satisfied with and recommend the service providers to others.

A number of research investigations have been conducted among Muslims, specifically in the Asian region, which have yielded crucial data regarding consumer behavior toward halal products, such as food and tourism. This study, nonetheless, remains close with other studies on halal food, except that it adds together the knowledge of perceived quality and risks, as to gain a deeper understanding of the experience customers have on food, through online service delivery.

While past research has explored how opting-out enables mothers to break free from masculinist organizational cultures, less attention has been given to how they resist disciplinary power that constitutes and governs their subjectivities. This paper aims to add to the discussion of opting-out as a site of power and resistance by proposing the concept of “constructive resistance” as a productive vantage point for investigating opted-out mothers' subversive practices of self-making.

This Malaysian case study brings together the notion of constructive resistance, critical narrative analysis and APPRAISAL theory to examine the reflective stories of eighteen mothers who exited formal employment. These accounts were collected through an open-ended questionnaire and semi-structured email interviews.

The mothers in the sample tend to construct themselves in two main ways, as (1) valuable mothers (capable, tireless, caring mothers who are key figures in their children's lives) and (2) competent professionals. These subjectivities are parasitic on gendered and neoliberal ideals but allow the mothers to undermine neoliberal capitalist work arrangements that were incongruent with their personal values and adversely impacted their well-being, as well as refuse organizational narratives that positioned them as “failed” workers.

Whereas power is primarily seen in previous opting-out scholarship as centralized and constraining, this case study illustrates how the lens of constructive resistance can be beneficial for examining opted-out mothers' struggles against a less direct form of power that governs through the production of truths and subjectivities.

With the growth in the use of technology currently, it is inevitable that all individuals are currently facing the risk of data misuse by irresponsible parties. This study aims to investigate whether companies disclosed information about customer privacy in their reports. The study will also focus on the activities that have been taken by companies to protect customers’ information, and to determine if the disclosure is sufficient to show the company’s performance on the customer privacy issues based on the GRI 418 customer privacy disclosure.

This study uses qualitative, quantitative and exploratory research based on secondary data collected from annual reports and sustainability reports. The sample used in this study are the annual reports and sustainability reports from Indonesian listed companies in the Indonesia Stock Exchange (IDX) from the year 2019 to 2021.

The findings elucidate that customer privacy disclosures are still low. Applying a content analysis method, this study uses the sustainability disclosure guidelines from the Global Reporting Initiative.

This study is important as it will contribute to the literature on customer privacy, which is scarce in the extant literature. Given the lack of reporting in this issue, this study found that only six out of seven industries disclose customer privacy.

This study is the first study that examines the product responsibility disclosures relate with customer privacy concerns of Indonesian companies from their disclosures in their sustainability reports and annual report based on the GRI 418 customer privacy disclosure.

Takaful is a social security approach that guarantees business risks in light of shari’ah, thus playing a crucial role in human life and the economy. The purpose of this study is to examine the factors that influence the behavioural intention of micro, small and medium-sized enterprises (MSMEs) entrepreneurs to participate in takaful in Sri Lanka.

This study is designed quantitatively with deductive approach using the theory of planned behaviour. A total of 432 MSMEs in Sri Lanka were surveyed using convenience sampling to measure the intention to participate in takaful as a risk mitigation. The collected data were analysed through partial least square-structural equational modelling.

Attitude, subjective norm and perceived behavioural control variables positively influenced the intention, with t-values of 3.216, 3.813 and 3.859, respectively. The influence of these variables exhibits not much difference.

This study only focuses on MSMEs and a general takaful scheme. Future researchers may consider family takaful involvement among Sri Lankan business entrepreneurs.

Takaful practitioners should gain from the entrepreneurs’ intention to participate in takaful. Findings from this study could help marketing managers to revamp their strategies to further attract the entrepreneurs and make them to understand risk they are facing and, subsequently, participate in the takaful scheme.

This paper focuses on the context of Muslim minority among pluralism, where there is no regulation for Islamic financial products and services, and under the Islamic financial market crisis. This unleashes how business owners feel about takaful system on different dimensions.

This study aims to explore the relationship between the innovation capacity and performance of manufacturing firms in the Ecuadorian pharmaceutical and chemical sectors using strategic foresight analysis.

From an extensive literature review, the fundamental variables related to manufacturing firms’ innovation for better performance were identified. Six hypotheses and actions were proposed related to financing, economic resources, capacities and research and development. Several scenarios were tested through foresight methodology to determine the more appropriate to be implemented by manufacturing firms over the next five years.

Scenario 01, where all the hypotheses resulted positive, has a 15.3% probability of occurrence. The results offer a relevant understanding of the behavior of the variables proposed as strategic actions for the sector.

To the best of the authors’ knowledge, foresight methodology is applied for the first time to analyze the manufacturing sector in Ecuador. The authors propose a plan of action from the strategic scenario identified in this study, supporting the development of the industrial sectors under study.

The development of higher learning institutions (HLIs) is considered a strategy to trigger urban space development – and it is the economy in most developing countries. HLIs can develop and maintain pace with the experience economy in the current urban economy, particularly in the services sector. This paper seeks to evaluate the influence of HLIs on elements of the experience economy in the urban services sector in Bandar Baru Bangi (BBB), a knowledge-based city.

The research adopted a purposive sampling technique and engaged 382 urban community respondents in BBB, Malaysia. The study used four elements (education, gastronomy, health, and the retail sectors) to assess the experience economy performance.

The results show that the local community is the “active users” of the services, and the active users have enjoyed the existence of the experience economy. Findings reveal a preference for education and health over gastronomy and retail sectors. Of these four sectors, the education sector experience had the most prominent effect, thereby showing that the higher learning institutions around this city served a major role in the sector development of urban services.

The research used a purposive sampling method and engaged 382 respondents in BBB, Malaysia. The restriction of the study area to BBB is a limitation component. Future studies should explore a large-scale investigation to evaluate better and validate the results.

The research has shown that the city's higher education institutions have affected the development of the experience economy in the four sectors.

The study shows that the framework of the experience economy and the establishment of HLIs can stimulate the experience economy within the urban services sector.

The purpose of the study is to investigate the impact of artificial intelligence (AI), machine learning (ML), and data science (DS) on unemployment rates across ten high-income economies from 2015 to 2023.

This study takes a unique approach by employing a dynamic panel data (DPD) model with a generalised method of moments (GMM) estimator to address potential biases. The methodology includes extensive validation through Sargan, Hansen, and Arellano-Bond tests, ensuring the robustness of the results and adding a novel perspective to the field of AI and unemployment dynamics.

The study’s findings are paramount, challenging prevailing concerns in AI, ML, and DS, demonstrating an insignificant impact on unemployment and contradicting common fears of job loss due to these technologies. The analysis also reveals a positive correlation (0.298) between larger government size and higher unemployment, suggesting bureaucratic inefficiencies that may hinder job growth. Conversely, a negative correlation (−0.201) between increased labour productivity and unemployment suggests that technological advancements can promote job creation by enhancing efficiency. These results refute the notion that technology inherently leads to job losses, positioning AI and related technologies as drivers of innovation and expansion within the labour market.

The study’s findings suggest a promising outlook, positioning AI as a catalyst for the expansion and metamorphosis of employment rather than solely a catalyst for automation and job displacement. This insight presents a significant opportunity for AI and related technologies to improve labour markets and strategically mitigate unemployment. To harness the benefits of technological progress effectively, authorities and enterprises must carefully evaluate the balance between government spending and its impact on unemployment. This proposed strategy can potentially reinvent governmental initiatives and stimulate investment in AI, thereby bolstering economic and labour market reliability.

The results provide significant perspectives for policymakers and direct further investigations on the influence of AI on labour markets. The analysis results contradict the common belief of technology job loss. The study’s results are shown to be reliable by the Sargan, Hansen, and Arellano-Bond tests. It adds to the discussion on the role of AI in the future of work, proposing a detailed effect of AI on employment and promoting a strategic method for integrating AI into the labour market.