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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.

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.

Incipient detection of pavement deterioration (such as crack identification) is critical to optimizing road maintenance because it enables preventative steps to be implemented to mitigate damage and possible failure. Traditional visual inspection has been largely superseded by semi-automatic/automatic procedures given significant advancements in image processing. Therefore, there is a need to develop automated tools to detect and classify cracks.

The literature review is employed to evaluate existing attempts to use Hough transform algorithm and highlight issues that should be improved. Then, developing a simple low-cost crack detection method based on the Hough transform algorithm for pavement crack detection and classification.

Analysis results reveal that model accuracy reaches 92.14% for vertical cracks, 93.03% for diagonal cracks and 95.61% for horizontal cracks. The time lapse for detecting the crack type for one image is circa 0.98 s for vertical cracks, 0.79 s for horizontal cracks and 0.83 s for diagonal cracks. Ensuing discourse serves to illustrate the inherent potential of a simple low-cost image processing method in automated pavement crack detection. Moreover, this method provides direct guidance for long-term pavement optimal maintenance decisions.

The outcome of this research can help highway agencies to detect and classify cracks accurately for a very long highway without a need for manual inspection, which can significantly minimize cost.

Hough transform algorithm was tested in terms of detect and classify a large dataset of highway images, and the accuracy reaches 92.14%, which can be considered as a very accurate percentage regarding automated cracks and distresses classification.

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.

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.

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 comprehend the role of leagility and resilience in developing sustainable global supply chains, mitigating short-term disruptions and long-term economic impacts from various disasters, in the context of Australian civil infrastructure projects.

The study employs systematic review approach to establish that addressing project success dimensions (i.e. leagility, resilience and sustainability) requires an integrated and extended supply chain approach, encompassing traditional supply chain strategic model elements (i.e. cost/capital, quality and service goals) and supply chain eco-system (i.e. organisations, societies, economies and nature).

The study underscores the need to enhance supply chain leagility and resilience to achieve sustainability. This can be achieved by developing skills needed to plan across project phases and time frames, aligning with short and long-term organisational goals, assuming smart risks in the face of uncertainty.

This study extends the traditional supply chain strategic model by introducing new priorities to minimise the consequences of disruptions and to effectively respond to them. The integration of leanness, agility and resilience ensures a sustainable supply chain even in the times of uncertainty, disruption and volatility.

This research provides an opportunity for practitioners and policymakers to rethink and redesign the conventional supply chain model of cost, capital, quality and service objectives. It introduces pioneering concepts by acknowledging and incorporating emerging priorities, especially in Australian civil infrastructure projects. The study integrates leagility and resilience into the existing strategic framework, adding crucial dimensions for sustainable supply chains in infrastructure companies.

Consumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore the impact of social commerce on the co-creation process of brand value in a social commerce setting.

A questionnaire survey was conducted online to gather 300 eligible responses. The data were empirically validated using the partial least squares structural equation modelling (PLS-SEM) method.

The results indicated that brand engagement (BEN) is vital to brand co-creation (BCC) in social commerce, which could be driven by social-hedonic value (SHV) and social information sharing (SIS).

This study stresses the influence of consumer autonomy in the process of BCC by probing the role of SIS. Moreover, by considering the prevailing trend in social media, this study offers a nuanced perspective on the values of social commerce from the viewpoint of SHV.

This study may serve as a useful guide for practitioners to improve their digital outreach strategy on social commerce to forge stronger relationships, encourage further engagements and promote value co-creation within their brand community.

This examines the effect of relationship quality (RQU) and BEN on BCC through a relational viewpoint.

Despite the large number of Indonesian health-care workers working as migrant care workers in Japan, there is a lack of studies that have investigated this phenomenon or assessed the working conditions of Indonesian care workers working in Japanese aged-care facilities. This study aims to explore the work experiences of Indonesian care workers in Japan.

A qualitative descriptive research design was used, and a purposive sample of 18 Indonesian health-care workers (12 nurses and six midwives) who work as care workers in Japan participated in this study. Semistructured interviews were conducted with these participants between December 2022 and January 2023. The data were analyzed using content analysis. The Consolidated Criteria for Reporting Qualitative Research checklist was used to report this study.

Four key themes emerged from the data: easy but mentally challenging, being a care worker is a blessing, working in a partially Muslim-friendly environment and enjoy living: prefer to stay longer.

The work experiences of Indonesian care workers in Japan are complex and multifaceted. By understanding their experiences and needs, the authors can work toward creating more inclusive and supportive workplaces for all.