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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.

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.

Rare book collections are special, not only in terms of their physical appearance but also because of their historical significance and the information they contain. The purpose of this study is twofold: to identify the physical condition of rare book collections and to determine the main causes of damage to rare books collection that belongs to a museum library in Indonesia.

This research involved conducting a survey of the physical condition of the collection of rare books owned by a museum library in Indonesia. Supporting data was also obtained through interviews with one of the staff who served as the museum collection conservator. This study used random sampling to take samples from the collection, which consisted of 950 rare books, with total sample of 91.

The results obtained state that the condition of the existing rare book collection is classified as severely damaged. One of the causes of damage that can be addressed immediately is the cleaning regime: the collection and library space should be cleaned thoroughly and regularly so that dust and dirt in and around the rare book collection can be reduced.

This research was limited to physical identification, which can be done easily because it does not require various kinds of laboratory tests. It was a case study examining a single collection in a single museum library. The pool of books from which the samples were taken was therefore relatively homogenous. Therefore, it is hoped that further research can identify other factors and types of damage in more detail so that all damage to rare book collections can be identified and mitigated.

Research discussing the condition of rare book collections, especially for special libraries in museums in Indonesia, is still very limited. Detailed surveys of the physical condition of collections, especially rare book collections in museums, have rarely been discussed by previous research. The work will contribute to assessing the physical condition of rare book collections.

This study aims to identify the inputs from zakat administrators and experts needed for more efficient and effective zakat revenue generation.

Face-to-face interviews with zakat executives, administrators and experts are conducted to collect data.

The findings show three components of input required in the zakat transformation: environment, resources and history. The environmental component comprises five sub-components: companies, banks, zakat recipients, individual zakat payers and the legislative, while the resource sub-components comprise tangible and intangible resources. For history, two components, namely, achievements and challenges, need to be taken into account by the zakat administration.

This study’s main implication is that the components proposed in this study can serve as the basis for developing new strategies for improving zakat collection and distribution management to achieve a more efficient and effective level.

This study will be helpful for policymakers, especially zakat authorities, on how to enhance their administration.

The model developed in this study will help the zakat administration to reform and enhance zakat compliance and zakat revenue generation.

Based on the extended theory of planned behavior, this study aims to examine potential intentions-related factors that affect Islamic tax compliance moderated by information and communication technology (ICT) adoption.

A quantitative cross-sectional design was used to distribute questionnaire sets to 975 working Muslim Omanis by using convenience sampling method. PLS-SEM was mainly used to examine the data.

All the factors determine behavioral intention to pay Islamic tax (BIIT), which significantly predicts Islamic tax compliance behavior (ITCB). However, perceived control behavior negatively determines intention. ICT adoption moderates the link between BIIT and ITCB.

This study offers both practical and theoretical implications that can guide efforts to promote Islamic tax compliance and advance our understanding of tax behavior within the ETPB framework.

This study accounted for crucial factors determining intention than earlier ones using the ETPB. Considering technological advancements, the study also assessed the moderating role of ICT between BIIT and ITCB.

This study aims to examine how muzakki (zakat donator) and mustahik (zakat recipients) collaborated to strengthen the fundraising capability in Islamic social finance institutions (ISFIs) during the COVID-19.

This study uses a descriptive qualitative method in conjunction with interview techniques. Interviews with muzakki of various professions were conducted, as well as data from field documentation, to develop a collaborative model of muzakki and mustahik in strengthening the fundraising capacity of ISFIs.

The findings indicate that muzakki employed as civil servants, BUMN (state-owned enterprises) employees and entrepreneurs continue to pay zakat through ISFIs and support mustahik, whereas muzakki affected by the COVID-19 pandemic reduce their zakat spending. Consequently, with the collaboration of mustahik and muzakki, a framework can be developed to strengthen the strategy for raising funds for ISFIs. By empowering mustahik with businesses, ISFIs can increase the collection of zakat funds.

The collaboration model would strengthen ISFI's ability to raise Islamic philanthropic funds and optimize their management. The basis for the regulation is contained in Law No. 23 of 2011 which allows collaboration between institutions and other stakeholders. In addition, the role of ISFIs does not end with the collection and distribution of funds, they also maintain the muzakki and mustahik's cooperation, so a significant role is required in involving muzakki and mustahik for them to collaborate and synergize, as well as improving the quality of human resource from Amil (zakat collector) to implement the strategy.

Few studies have been conducted in collaboration with Muzakki and Mustahik to develop models or frameworks for strengthening fundraising capabilities in ISFIs. Most of these studies are illustrative. Through collaboration between Muzakki and Mustahik, this research establishes a new model for enhancing the strategy of Islamic social finance fund raising to establish a sustainable system for ISFIs.

Previous studies described the professional zakat had been limited. Generally, the past authors conducted a quantitative method with general results and did not focus on the behaviour of people who pay the professional zakat. As a result, the purpose of this study is to provide a comprehensive understanding of how the general public can pay their zakat using Bloom’s theory.

This research uses primary data with in-depth interviews from five informants, including civil servants (PNS) and private employees. Spiral analysis was used to analyse the data, arrange it, read it frequently, take brief notes, find categories, interpret and summarise it.

The results show Bloom’s theory can accommodate muzakki’s behaviour by paying professional zakat. It can be seen from the following conclusions: firstly, in the cognitive domain, muzakki’s behaviour of paying the professional zakat was motivated by their memories (experiences), the ability to interpret, the ability to understand the principles of zakat, the ability to understand the relations and the ability to understand the role of zakat from its norms. Secondly, in the affective domain, muzakki’s behaviour in paying the professional zakat was motivated by their ability to receive, give positive value, call others and dare to take risks. Thirdly, in the psychomotor domain, guided practice, mechanised practice and adoption drive muzakki’s behaviour of paying zakat.

This study has limitations regarding the number of samples (informants). In addition, the results of the research are designed to be very subjective so that they cannot be generalised to phenomena that exist in other places and countries that also require zakat in the profession. In the future, the results of this study can be used as a variable development with quantitative methods so that it can involve more samples to get maximum and a broader result.

This research has a valuable managerial impact on the zakat management institutions, particularly in Langsa, Aceh, Indonesia and all zakat institutions worldwide. Therefore, the central government can evaluate the zakat gap through various socialisation activities by promoting the cognitive, affective and psychomotor domains. Socialisation should improve people’s behaviour to pay zakat so that the amount of zakat collected will be higher and will reduce the gap between the potency of zakat and the zakat in reality which has been unequal so far.

This research will contribute to the significant development of zakat in terms of studying the behaviour of muzakki paying the professional zakat. Although the theory of planned behaviour was dominated by previous research, this research reveals other aspects of muzakki behaviour using Bloom’s model by elaborating on cognitive, affective and psychomotor domains.