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This article investigates the determinants of cross-section variation of initial public offerings' (IPOs) first-day returns in a sample of 710 issues across seven emerging markets between 2013 and 2017.

Ordinary least squares regression (OLS) and the semi-parametric quantile regression (QR) technique are employed. QR enables to analyse beyond the explanatory variables' relative mean effect at various points in the endogenous variable distribution. Furthermore, parameter estimates under QR are robust to the existence of outliers and long tails in the data distribution.

Underpricing varies across countries with an average of 78%. According to the OLS results, independent variables explain 26% of the variation of IPOs' first-day returns. Findings show that employing QR is important, given the non-normality of the data and because each quantile is associated with a different effect of explanatory variables.

In addition to firm-specific, market-specific and issue-specific factors, the paper extends IPOs' underpricing literature through studying the impact of country-specific characteristics, largely neglected by literature, on IPO underpricing.

This study explores how emotional intelligence, customer orientation, deep acting and surface acting influence job satisfaction among middle managers in their interactions with customers, colleagues and business partners. By examining these factors, we aim to provide insights into their collective impact on job satisfaction and interpersonal dynamics within organizational contexts.

By involving 95 middle managers at Indonesian Internet service providers as respondents, this research used a questionnaire to collect data. Next, the data were analyzed using the partial least square-structural equation modeling (PLS-SEM) technique, which evaluated measurement models and structural models. A total of twelve hypotheses were tested in this study.

This study found that customer orientation does not have a significant effect on deep acting, thereby nullifying its indirect effect on job satisfaction. Conversely, it's demonstrated that both deep acting and surface acting serve as partial mediators in the relationship between emotional intelligence and job satisfaction. Furthermore, surface acting emerges as a partial mediator in the connection between customer orientation and job satisfaction.

By exploring the relationship between customer orientation, emotional intelligence and job satisfaction among employees, this study seeks to reveal novel insights. The study examines the impact of these critical elements, which are necessary for middle managers to effectively manage their emotions and cultivate significant connections, on their overall job satisfaction and interpersonal dynamics in their diverse responsibilities.

This research seeks to reveal the mediating role of work engagement and affective commitment as individual aspects that have the potential to bridge the effect of empowering leadership on the task performance of Correctional Service counselors in Indonesia, especially due to the limited literature on these two aspects in the context of public organizations.

Quantitative research was conducted on 350 counselors throughout Indonesia. The data was collected by distributing questionnaires online. The collected data were then analyzed using Structural Equation Modeling to test the seven research hypotheses.

Empowering leadership significantly strengthens task performance, work engagement and affective commitment. For indirect effects, this study found that affective commitment partially mediates the effect of empowering leadership on task performance. Meanwhile, work engagement failed to act as a mediator because it did not significantly impact strengthening task performance.

Notably, the unexpected result of work engagement's inability to significantly boost task performance deviates from the prevailing trends observed in previous empirical research, thereby adding a novel dimension to the findings of this study.

Despite the significance of donations (Sadaqah) via mobile payment in Islamic countries, little is known about the variables influencing continuance intention toward using m-payment for donations (Sadaqah). Based on the stimulus-organism-response (S-O-R) model, this research explores the influence of perceived quality (i.e. system, information, service) as a stimulus on customer satisfaction, engagement and delight as organisms, which then affects continuance intention toward using m-payment for donations (Sadaqah) as a response. Moreover, the study investigates the moderating role of Islamic religiosity.

Using partial least squares structural equation modeling (PLS-SEM), a representative data sample of 419 Egyptian Muslims was analyzed to test hypotheses.

The findings revealed that all perceived quality constructs significantly positively affect customers' satisfaction. Customer satisfaction, in turn, positively affects customer engagement and delight. Moreover, customer engagement, delight and Islamic religiosity significantly positively affect continuance intention toward using m-payment for donations (Sadaqah). The findings also revealed that Islamic religiosity moderates the influence of customer engagement and customer delight on continuance intention toward using m-payment for donations (Sadaqah).

This is the first study to examine using m-payment for donations (Sadaqah) in an Islamic environment based on the S-O-R model.

This study aims to investigate the properties of mortar made from a bottom ash substitute as a sustainable construction material. It is believed that the use of cement in concrete construction contributes to the release of carbon dioxide into the atmosphere, which has been a consistent increase in recent years. The utilization of bottom ash waste is expected to reduce pollution associated with cement production.

Bottom ash is used as replacement materials for cement and fine aggregate in the manufacture of mortar. Bottom ash substituted for cement of 10%, 20% and 30% of the total weight of the binder, whereas bottom ash substituted for the fine aggregate of 30%, 40% and 50% of the total weight of the sand. Binder properties were determined using scanning electron microscopy and energy dispersive X-ray. Meanwhile, the fresh properties (slump flow) and hardened properties were determined (compressive strength and mass density). In the hardened properties test, two types of curing were used: water and sealed curing.

The compressive strength of mortar decreased as the amount of bottom ash as cement replacement. However, the compressive strength increased when bottom ash was used as aggregate replacement. Additionally, bottom ash was sufficient as a substitute for fine aggregate than as a substitute for cement.

This research presents test results that are more straightforward to apply in the construction site.

The inadequate enforcement of anti-corruption policies in the private sector in Association of Southeast Asian Nations (ASEAN) countries is the motivation for this study to investigate how a company’s anti-corruption disclosure (ACD) affects earnings management. Moreover, the underrepresentation of women in supervisory roles makes this aspect of particular interest. Hence, this study highlights the question of whether their participation in audit committees can impact the organization's policies.

This research employs archival methods to examine 30 of the largest non-financial companies from each of the ASEAN-5 countries (Indonesia, Malaysia, Singapore, Thailand and the Philippines) from 2016 to 2018. Lastly, the authors also utilize a robustness test.

As expected, the results indicate that the low willingness to disclose anti-corruption activities encourages earnings management practices. This relationship is significantly more potent in firms with fewer women on their audit committees. The findings remain robust after assessing alternative measurements.

The findings of this study imply that a company’s anti-corruption policies and the role of women in supervisory activity influence rent-seeking behavior. Thus, investors should consider elements that promote transparency in companies. Additionally, regulators must evaluate regulations to promote gender diversity and eradicate corruption by establishing exact policies, providing whistleblowing protection and simplifying indicators for effective disclosure.

The consequences of the anti-corruption policy in the ASEAN-5 countries are relatively under-researched and still focus on a single country. Furthermore, while examining the connection between ACD and earnings management, this study also considered how addressing the supervisory factor is urgent in terms of corporate transparency.

This paper delves into cross-border E-business, unraveling its intricate dynamics and forecasting its future trajectory.

This paper projects the prospective market size of cross-border E-business in China for the year 2023 using the GM (1,1) gray forecasting model. Furthermore, to enhance the analysis, the paper attempts to simulate and forecast the size of China’s cross-border E-business sector using the GM (1,3) gray model. This extended model considers not only the historical trends of cross-border E-business but also the growth patterns of GDP and the digital economy.

The forecast indicates a market size of 18,760 to 18,934 billion RMB in 2023, aligning with the consistent growth observed in previous years. This suggests a sustained positive trajectory for cross-border E-business.

Cross-border e-commerce critically shapes China’s global integration and traditional industry development. The research in this paper provides insights beyond statistical trends, contributing to a nuanced understanding of the pivotal role played by cross-border e-commerce in shaping China’s economic future.

This study aims to investigate the effectiveness of hybrid learning, blended learning and face-to-face learning in remediating misconceptions among primary school teacher education students.

This research uses a quasi-experimental design, using a quantitative approach. Data were collected from 99 students using a pretest and posttest four-tier test.

Hybrid learning proved to be the most effective, achieving a remarkable 90.32% success rate in remediating students’ misconceptions, surpassing blended learning and face-to-face learning methods.

The data come from a single Indonesian university and focuses only on a science concept; therefore, the scope of findings may be limited.

The research suggests that applying the conceptual change (CC) model in all learning types, particularly hybrid learning, effectively remediates misconceptions. Educators can use this insight to design impactful teaching strategies that combine online and traditional components, accommodating diverse learning styles and needs.

This research suggests that applying CC model in all learning types is actually able to remediate misconceptions, though hybrid learning is found to be the most effective one.

This study addresses a research gap by investigating the effectiveness of different learning modes in rectifying misconceptions. Although prior studies have explored learning modes, few have directly compared hybrid, blended and face-to-face learning in correcting misconceptions. The findings offer insights for effective teaching strategies to address STEM-related misconceptions, benefiting educators in optimizing their approaches. Furthermore, the study’s implications extend to the broader academic community, contributing to evidence-based teaching practices in science education and the development of effective strategies for addressing misconceptions in STEM courses.

This study aims to design and empirically test a model where autonomy affects partnership (PT) and entrepreneurial orientation (EO), which in turn improves competitive aggressiveness (CA), market orientation (MO) and PT; to verify the impact of CA on MO and PT; and to determine to what extent MO mediates the EO–PT relationship.

The authors used a quantitative approach to test 101 Brazilian firms from different sectors, analyzed by structural equation modeling using the partial least squares–structural equation modeling.

Results show that autonomy improves EO and PT. EO positively affects CA, MO and PT. CA impacts MO positively, and MO mediates the EO–PT relationship, although it reduces the possibility of PT.

Although 101 firms could be a “small sample,” the authors validated it according to Hair et al. (2009) and Chin et al. (2003). Their first contribution is to extend the works relating to EO and PT by showing the positive effects of autonomy on EO and PT. Second, to show the mediating effect of MO on the EO–PT relationship. Finally, they draw attention to how firms with EO improve CA, MO and PT; and CA boost MO. Thus, to generalize EO research internationally, like in the emergent markets.

Although EO has attracted significant attention to entrepreneurship research, it is not clear how autonomy impacts a firm's EO and PT, considering the mediating effect of MO on the EO–PT relationship; if EO influences CA and MO, and the impact of CA on MO and PT.

The COVID-19 pandemic has had a devastating impact on all facets of education. This led to educational institutions deploying blended and online systems for teaching and learning. The purpose of this study was to assess the role of blended learning in promoting quality education during the COVID-19 pandemic.

The qualitative research design was deployed in this study and enabled the researcher to collect data via in-depth interviews. Twenty-five (25) tertiary institutions accredited by the Ghana Tertiary Education Commission (GTEC) were randomly selected to participate in this study. The registrars of the institutions were purposively selected and served as the participants for the study. Thematic content analysis was used to analyze the data collected via the interview. Ethical considerations were adhered to during the study.

The study established that COVID-19 had a devastating effect on tertiary institutions; multiple technological and open-sourced systems were deployed for teaching and learning; blended learning was adopted to augment the traditional face-to-face mode of teaching and learning due to its ease of use, usefulness and accessibility as it was used for quizzes and assignments, accessing lecture notes, among others. Despite these, the deployment of technological and blended systems was met with challenges that somehow affected effective teaching, learning.

The study was limited to 25 tertiary educational institutions in Ghana. It was again limited to the COVID-19 era.

This research aids in understanding the extent of the impact of COVID-19 on teaching and learning and how blended learning is currently deployed and used in tertiary institutions in Ghana. The findings are relevant to policymakers and management of educational institutions as it informs them of the right method and tools to deploy for teaching and learning during pandemics.

As educational institutions globally are dealing with the effect of the COVID-19 pandemic, it is prudent to look into how tertiary institutions in Ghana deploy blended learning to facilitate teaching and learning. Thus, this paper is original as it fills the relevant literature gap in terms of scope, setting, methodology and findings.