Electoral contestation in recent Indonesian election periods is faced with the challenge of polarization linked to identity politics, where initially assigned identity is leveraged as tools for political competition. This is a qualitative research, using interviews, observations, and direct group discussion methods to collect data from five different regions in Indonesia. The research focused on the presence of governing regulations and how they develop in complex dynamics. The results showed that identity politics was prevalent in all regions due to mobilization through identity manipulation to gain electoral political advantage. Furthermore, electoral characteristics showed a growing tendency toward polarization, primarily in terms of religion and ethnicity, with some issues related to regionalism, gender, religious affiliations, and family history networks. It was also found that weak regulations on identity manipulation led to increasing permissiveness among political actors, the state, and voters. This made identity issues become natural electoral problems, despite weakening the developing democracy in Indonesia. In this context, future contests in Indonesia are expected to consistently intensify identity politics, with the lack of regulations, permissiveness, and social media serving as the main driving factors.

This study explores the influence of digital technologies, including media, on pre-service teachers’ interactions and engagement patterns. It underscores the significance of promoting digital competence to empower pre-service teachers to navigate the digital world responsibly, make informed decisions, and enhance their digital experiences. The objective is to identify key themes and categories in research studies related to pre-service teachers’ digital competence and skill preparations. Conducting a systematic literature review, we searched databases such as SCOPUS, ScienceDirect, and Taylor & Francis, including forty-three articles in the dataset. Applying qualitative content analysis, we identified four major themes: digital literacy, digital competencies, digital skills, and digital thinking. Within each theme, categories and their frequencies were examined. Preliminary findings reveal a growing prevalence of digital competence and literacy articles between 2019 and 2024. The paper concludes by offering recommendations for further research and implementations, with specific criteria used for article selection detailed in the paper. A digital literacy policy for teacher education preparedness is included.

This study evaluated the development and validation of an integrated operational model for the Underground Logistics System (ULS) in South Korea’s metropolitan area, aiming to address challenges in urban logistics and freight transportation by highlighting the potential of innovative logistics systems that utilize underground spaces. This study used conceptual modeling to define the core concepts of ULS and explored the system architecture, including cargo handling, transportation, operations and control systems, as well as the roles of cargo crews and train drivers. The ULS operational scenarios were verified through model simulation, incorporating both logical and temporal analyses. The simulation outcomes affirm the model’s logical coherence and precision, emphasizing ULS’s pivotal role in boosting logistics efficiency. Thus, ULS systems in Korea offer prospects for elevating national competitiveness and spurring urban growth, underscoring the merits of ULS in navigating contemporary urban challenges and championing sustainability.

Purpose: The level of the environment is gradually declining, especially with regard to the serious problem of solid waste. Solid waste segregation-at-source is seen as the most essential approach to helping the natural environment minimize the amount of waste generated before being transferred to waste disposal sites and landfills in many rapidly growing towns and cities in developing countries. However, a number of previous environmental-based research have focused only on the general scope of recycling, sustainable development, and the purchase intention for sustainable food products. This situation has led to useful and relevant information on the research scope of households’ intention to segregate solid waste at source, which remains largely unanswered. The aim of this paper is, therefore, to provide a literature review to develop a novel theoretical framework in understanding the determinants of households’ intention to practise solid waste segregation-at-source. Theoretical framework: The study provides a detailed explanation of the application of the Theory of Reasoned Action, the Fietkau-Kessel Model, the Focus Theory of Normative Conduct, and the Value-Basis Theory to predict the relationship between attitude, subjective norms, environmental concerns, and environmental knowledge of households on intention to practise solid waste segregation-at-source. Design/methodology/approach: This research is descriptive in nature. Findings: A better understanding of the potential mediator and moderator is needed to contribute to the body of knowledge on the causal relationship between the studied variables. In conclusion, the researchers discuss how the framework can be used to address future research implications as more evidence emerges. Research, practical and social implications: The current study is expected to broaden previous research in order to improve general understanding of attitudes and subjective norms towards the specific research scope of solid waste segregation-at-source.

This article explores the dynamic and complex regulatory landscape of cargo transportation in the United Arab Emirates (UAE). As a critical hub in global trade, the UAE’s approach to cargo transportation not only impacts its economic landscape but also has broader implications for international logistics and trade. When the authors speak about air cargo, a very prominent characteristic comes to mind, that is, the ‘speed’ at which goods are transported from one point to another in a world which is fueled by time-based competition which connects leading suppliers, smaller businesses to consumers within a complicated global supply chain operating within networks. The authors aim to examine the current regulatory framework governing cargo operations, highlighting key events contributing to the growth of cargo transportation in recent years within the UAE, shedding light on the central regulatory bodies and key players in the UAE which contribute to the chain of transporting cargo and shipments in the UAE. This study will also briefly compare the standards applied in the UAE with international norms. It delves into the implications of existing regulations on various facets of trade and logistics, including compliance challenges faced by businesses. The article identifies specific challenges in the regulatory setting, such as safety, environmental considerations and the integration of emerging technologies. Furthermore, it distinguishes between the flexible and rigid aspects of these regulations, analyzing their impact on the industry. Looking ahead, the article forecasts emerging trends and potential shifts in regulatory policies, emphasizing the need for adaptability and forward-thinking in policymaking. The aim is to provide a comprehensive overview of the UAE’s regulation of the cargo transportation landscape. The present study offers insights into its current status, challenges, and future directions, thereby contributing to policy development in this vital sector. New research examining the UAE’s cargo regulations reveals significant gaps that could stall its ambitions of becoming a leading cargo transportation global hub. The study identifies shortcomings in regulations related to cargo transportation in the UAE and its efficiency. These areas, along with potential inflexibility in the current system, pose challenges to the UAE to compete effectively in the time-sensitive world of cargo shipments.

Purpose: Drawing on the Resource Based View (RBV) and Dynamic Capabilities Theory (DCT), the study seeks to investigate the impact of Big Data Analytics (BDA) on Project Success (PS) through Knowledge Sharing (KS) and Innovation Performance (IPF). Design/Methodology: Survey data were collected from 422 senior-level employees in IT companies, and the proposed relationships were assessed using the SMART-PLS 4 Structural Equation Modeling tool. Findings: The results show a positive and significant indirect effect of big data analytics on project success through knowledge sharing. IPF significantly mediated the relationship between BDA and PS in IT companies. Originality/Value: This study is one of the first to consider big data analytics as an essential antecedent of project success. With little or no research on the interrelationship of big data analytics, knowledge sharing, innovation performance, and organizational performance, the study investigates the mediating role of knowledge sharing and innovation performance on the relationship between BDA and PS. Implications: This study, grounded in RBV and DCT, investigates BDA’s influence on PS through KS and IPF. Implications encompass BDA’s strategic role, KS and IPF mediation, and practical and research-based insights. Findings guide BDA integration, collaborative cultures, and sustained success.