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This systematic literature review paper critically examines the effectiveness of screencast feedback compared with text feedback in promoting student learning outcomes in online higher education. This paper aims to contribute to the ongoing discussion surrounding feedback modalities and their impact on online learning environments.

This paper adopts a systematic review approach to synthesise and analyse existing studies investigating the use of screencast feedback in online higher education settings. A comprehensive search and selection process was employed to identify relevant literature. The selected studies were then analysed for their methodologies, findings and implications. This paper seeks to provide an overview of the current state of research, highlighting the benefits, challenges and potential impacts of screencast feedback on student learning outcomes.

The findings of this paper suggest that while there is a positive perception of screencast feedback among students and instructors, drawing definitive conclusions about its superiority over text feedback remains at the very beginning. Students generally appreciate the personalised, supportive and engaging nature of screencast feedback, particularly within the online learning context. However, challenges such as technical barriers and potential workload implications for instructors are also noted. Further empirical research is needed to comprehensively evaluate the comparative efficacy of screencast feedback, considering factors like online engagement, digital literacy and the impact on diverse student populations.

This review underscores the acute necessity for expansive and meticulously designed studies that can provide conclusive insights into the authentic potential of screencast feedback and its resonance within the unique landscape of online learning. Through rigorous inquiry, educators can discern the optimal strategies for harnessing the advantages of screencast feedback to enhance student learning outcomes, aligning harmoniously with the dynamics of virtual classrooms.

Screencast feedback emerges as a promising avenue to foster meaningful connections between instructors and learners. The review highlights that screencast feedback engenders a more dialogic interaction between lecturers and students, resulting in personalised, supportive and engaging feedback experiences.

The systematic review conducted underscores the positive reception of screencast feedback from both students and lecturers in this context. The findings are consistent with the principles of social constructivist theory, suggesting that the interactive and personalised nature of screencast feedback facilitates a richer educational experience for students, even within the confines of virtual classrooms (Vygotsky, 1978).

This innovative blend of methodologies contributes new insights that can inform educational practices and pedagogical strategies in online learning environments.

This study investigates the impact of pre-IPO earnings management on investor demand in the Indian IPO market. It also examines whether earnings management by issuer firms affects IPO valuation, a topic that is underexplored in accounting research.

The study uses the data of 310 IPOs from India during the period 2000–2021. The association between pre-IPO earnings management with investor demand and valuation is tested using cross-sectional ordinary least squares regression models with heteroscedasticity-robust standard errors.

The study finds that the degree of pre-IPO earnings management impacts retail investor demand, measured as their over-subscription multiple. Pre-IPO earnings management is unrelated to institutional investor bidding. Further, this paper suggests no relation between pre-IPO earnings management and IPO valuation.

Future studies could explore various other forms of earnings management and their impact on investor demand and valuation.

The findings of this study will help the investors and regulators to understand the practice of earnings management among IPO firms and how it is related to IPO demand and valuation.

This study contributes to the existing literature on IPO-earnings management and investor demand by documenting that issuer firms engage in earnings management to influence investor demand, particularly retail investor demand. Analysis of IPO valuation reveals that earnings management is mostly unrelated to IPO valuation, contrary to the general perception in the literature.

This study investigated two key aspects: (1) how a hospital bundles limited resources for preventive care performance and (2) how to develop IS capabilities to enhance preventive care performance.

A case study method was adopted to examine how a hospital integrates its limited resources which leads to the need for resource bundles and an understanding of IS capabilities development to understand how they contribute to the delivery of preventive care in a Malaysian hospital.

This research proposes a comprehensive framework outlining resource-bundling and IS capabilities development to improve preventive care.

We acknowledge that the problem of transferring and generalizing results has been a common criticism of a single case study. However, our objective was to enhance the reader’s understanding by including compelling, detailed narratives demonstrating how our research results offer practical examples that can be generalized theoretically. The findings also apply to similar-sized public hospitals in Malaysia and other developing countries, facing challenges like resource constraints, HIS adoption levels, healthcare workforce shortages, cultural and linguistic diversity, bureaucratic hurdles, and specific patient demographics and health issues. Further, lessons from this context can be usefully applied to non-healthcare service sector domains.

This study provides a succinct strategy for enhancing preventive care in Malaysian public hospitals, focusing on system integration and alignment with hospital strategy, workforce diversity through recruitment and mentorship, and continuous training for health equity and inclusivity. This approach aims to improve resource efficiency, communication, cultural competence, and healthcare outcomes.

Efficiently using limited resources through HIS investment is essential to improve preventive care and reduce chronic diseases, which cause approximately nine million deaths annually in Southeast Asia, according to WHO. This issue has significantly impacted the socioeconomic development of developing countries.

This research refines resource orchestration theory with new mechanisms for resource mobilization, extends IS literature by identifying how strategic bundling forms specialized healthcare IS capabilities, enriches preventive care literature through actionable resource-bundling activities, and adds to HIS literature by advocating for an integrated, preventive care focus from the alignment of HIS design, people and institutional policies to address concerns raised by other research regarding the utilization of HIS in improving the quality of preventive care.

Even though the end-user satisfaction construct has gained prominence as a surrogate measure of information systems performance assessment, it has received scant formal treatment and empirical examination in the data analytics systems field. In this respect, this study aims to examine the vital role of user satisfaction as a proxy measure of data analytics system performance in the financial engineering context.

This study empirically validated the proposed model using primary quantitative data obtained from financial managers, engineers and analysts who are working at Jordanian financial institutions. The quantitative data were tested using partial least squares-based structural equation modeling.

The quantitative data analysis results identified that technology quality, information quality, knowledge quality and decision quality are key factors that enhance user satisfaction in a data analytics environment with an explained variance of around 69%.

This empirical research has contributed to the discourse regarding the pivotal role of user satisfaction in data analytics performance in the financial engineering context of developing countries such as Jordan, which lays a firm foundation for future research.

Dyslipidaemia is an established risk factor for cardiovascular diseases. Calorie restriction and adopting a heart-healthy diet like the Mediterranean diet are the main dietary interventions for dyslipidaemia. Other dietary behaviours, such as changes in meal frequency and timing, are not included in the major dietary advice guidelines despite the potential correlation between eating patterns and lipid metabolism. This overview of systematic reviews and meta-analyses aims to summarise the effect of meal timing and frequency on lipid profile and make possible recommendations on which meal timing pattern is superior in reducing lipid levels.

According to the protocol published on PROSPERO (CRD42021248956), five databases were searched for systematic reviews and meta-analyses investigating the effects of meal timing and frequency on lipid profile in adults.

Five reviews were included, with two reviews on breakfast skipping and meal frequency, respectively, and one review on night-time eating. Increasing meal frequency while maintaining the total calorie intake was reported to reduce total cholesterol and low-density lipoprotein (LDL) levels with low- to moderate-quality evidence. There was a correlation between breakfast skipping and an undesirable increase in LDL levels with low-quality evidence. However, there needs to be more high-quality evidence to conclude the effect of dietary behaviours on blood lipid levels.

This overview provides a comprehensive summary of evidence examining the effects of meal timing and frequency on adult lipid profiles. The current low- or moderate-quality evidence could not support the recommendation of alteration of meal frequency as an alternative to conventional non-pharmacological treatments for dyslipidaemia.

This study aims to inform prospective listing firms, investors and regulators of the unique drivers of Chinese initial public offering (IPO) pricing on the Hong Kong Exchange.

Using a hand-collected IPO dataset, we investigate whether information uncertainty or investor exuberance drives underpricing and Chinese IPOs’ performance from 2002 to 2015, including 114 state-owned enterprises (SOEs).

Contrasting with the “listing bubble” in the China domestic stock market, generated by the overoptimism of retail investors, we highlight a “placing bubble” among Chinese firms listed in Hong Kong. This is driven by institutional investors’ buoyant demand for Chinese IPO shares, particularly those of SOEs. Chinese listing firms employ discreet earnings management strategies with their working capital accounts to smooth pre-IPO earnings, which becomes apparent to the market only in the long term.

This study is the first to examine the pricing of sought-after Chinese IPOs among international investors, who face various restrictions when investing in the Chinese domestic stock market. Additionally, it is the first study to measure earnings management using hand-collected pre-IPO data in IPO underpricing studies.

This study aims to examine the reaction of anchor investors (AIs) to pre-IPO earnings management (EM). The authors use the unique detailed bid data from the Indian anchor experiment. The authors also study the reputed AIs’ EM detection ability and pricing behavior in response to pre-IPO EM.

The authors use unique AI bid data for 169 Indian IPO firms. Utilizing the logistic regression and Tobit regression models with industry and year-fixed effects, the authors examine the relationship between various measures of AI participation and proxies of short-term and long-term discretionary accruals.

The authors document that pre-IPO EM is positively associated with the likelihood of anchor backing but negatively related to the likelihood of reputed anchor backing. The findings indicate that AIs are misled by pre-IPO EM, but reputed AIs are not. The authors also observe that reputed AIs, compared to the non-reputed, pay less than the upper band with increasing EM. The findings are robust to using various AI measures and EM proxies.

The findings have significant implications for regulators in the implementation of AI concept in non-anchor markets and better implementation of policies in existing anchor settings. Findings can also be relevant for non-institutional investors in the IPO domain.

This is one of the few studies on institutional investors' IPO bidding behavior in response to pre-IPO EM. However, this is the first study to analyze AIs' IPO bidding behavior in response to pre-IPO EM.

This study aims to examine how virtual influencers (VIs) affect purchase intentions in tourism and hospitality e-commerce live streaming (THCLS) by focusing on the roles of VIs’ source credibility, trust in products, trust in VIs, emotional engagement, parasocial relationships and influencer–product congruence.

Survey data from 416 active viewers of VIs in THCLS were analysed using partial least squares structural equation modelling.

This study highlights the importance of the VIs’ source credibility, which positively affects trust in the product, trust in VIs and emotional engagement. However, source credibility does not have a positive impact on parasocial relationships. Trust in products positively influences trust in VIs. Emotional engagement and trust in VIs significantly influence parasocial relationships, which, positively affects purchase intentions. Influencer–product congruence strengthens the link between parasocial relationships and purchase intentions but does not moderate the relationship between trust in VIs and purchase intentions. No significant gender differences were observed, although minor discrepancies were noted in the effect of trust in products on trust in VIs. The importance–performance map analysis revealed that parasocial relationships are the most important factor influencing purchase intentions, while influencer–product congruence has the highest performance, trust in products is the least important and VIs’ source credibility has the lowest performance.

This study provides actionable insights for marketers leveraging VIs in the THCLS sector, emphasizing strategies to enhance VI credibility, foster parasocial relationships, ensure influencer–product congruence and adopt gender-neutral marketing approaches to effectively influence purchase intentions.

This study offers theoretical and practical insights into the role of VIs in THCLS, illuminating their impact on consumer behaviour and purchase intentions.

This study aims to investigate whether mandated disclosure of engagement quality review hours provides new information that affects investors’ decision-making.

In 2014, Korean authorities mandated that audit engagement quality review hours must be disclosed in their audit reports. Using this unique field setting in Korea, this study presents empirical evidence of the policy initiative’s effect on earnings reliability by examining both pre- and post-implementation periods.

Following the initial disclosure of engagement quality review hours in 2014, the authors observe that the capital market’s valuation of quarterly earnings surprises, measured by earnings response coefficients (ERCs), was significantly lower for firms with high levels of abnormal engagement quality review hours than for other firms. This paper also finds that the observed association between engagement quality review hours and ERCs in the postregulation period hinges on the probability of earnings management, proxied by discretionary accruals and just meeting or beating analyst earnings forecast.

This paper suggests that the policy mandating disclosure of engagement quality review hours provides original information that the market considers relevant for appraising the reliability of reported earnings.