Abstract:This study aims to examine the economic behavior of the community around Dhoho Airport, Kediri, which has undergone socio-economic transformation due to strategic infrastructure development. This phenomenon is evident in…
Kediri Regency, East Java, especially after the start of the construction of Dhoho Airport, a national strategic project designed to be a lever for regional economic growth. The presence of the airport has changed the face of the surrounding area, which was previously agricultural land and modest settlements, into a bustling and fast-growing economic area. This change has led to a surge in new economic activities, such as the emergence of street vendors, restaurants, parking lots, local transportation businesses, and lodging. Using a qualitative approach with phenomenological methods, this study explores the meanings raised by local economic actors in responding to these changes. The findings show that communities show adaptive responses through trade, lodging, and other services, with economic meanings influenced by local values such as blessing, hard work, and kinship. This study concludes that people's economic behavior is not only rational instrumental, but also full of subjective values and meanings, so that regional economic policies need to be designed in an inclusive and contextual manner
Abstract:This study examines the reaction of the Indonesian capital market to the escalation of the Iran conflict in 2026 using an event study approach focusing on energy sector firms listed on the Indonesia Stock Exchange. Market…
t reactions are measured using Average Abnormal Return (AAR) and Trading Volume Activity (TVA). The observation period includes an 11-day event window (t−5 to t+5) and a 100-day estimation period. Statistical tests employed include the Shapiro–Wilk normality test, one-sample t-test, paired sample t-test, and Wilcoxon Signed Rank Test.
The findings indicate that abnormal returns are only significant around the event date but do not differ significantly between pre- and post-event periods. In contrast, trading volume activity shows consistent and significant changes. These results suggest that geopolitical conflict information is more strongly reflected in trading behavior than in price adjustments. This study contributes to the literature by providing sector-specific evidence from an emerging market and highlighting behavioral market responses.
Abstract:The rapid integration of Artificial Intelligence (AI) into organizational systems has transformed workplace dynamics, employee responsibilities, and patterns of human labor. Although AI implementation improves operational…
l efficiency and productivity, it also creates psychological and professional challenges for employees adapting to technological change. This study aims to explore the lived experiences, emotional responses, and adaptation strategies of employees in South Sulawesi companies undergoing AI-driven digital transformation. This research employed a qualitative phenomenological approach. Data were collected through in-depth semi-structured interviews with 20 participants from the banking, manufacturing, retail, technology, and service sectors in South Sulawesi, Indonesia. Participants were selected using purposive sampling based on direct exposure to AI systems and a minimum of 1.5 years of work experience. The data were analyzed using thematic analysis to identify recurring patterns and meanings related to employee adaptation. The findings revealed six major themes: AI as a tool for improving efficiency and productivity, fear of job displacement and career uncertainty, the importance of continuous learning and digital skill development, the role of organizational support and leadership communication, the emergence of human–AI collaboration, and varied psychological responses to technological change. Employees who received organizational support and training demonstrated greater adaptability and confidence in responding to AI implementation. The study emphasizes the importance of human-centered change management strategies that prioritize psychological safety, transparent communication, and continuous digital training. This research contributes to the limited phenomenological literature on AI adaptation in Indonesia and provides practical implications for human resource management and organizational behavior in the era of digital transformation.
Abstract:The development of financial technology has encouraged the transformation of the digital payment system in Indonesia, one of which is through the implementation of the Quick Response Code Indonesian Standard (QRIS) developed…
oped by Bank Indonesia to integrate various QR code-based payment services. This payment system is expected to be able to improve transaction efficiency, speed up the payment process, and expand financial inclusion for Micro, Small, and Medium Enterprises (MSMEs). However, the adoption rate of digital payment technology in the MSME sector still faces various challenges, both related to technological aspects, user psychological factors, and the influence of the social environment. This study aims to systematically examine the influence of constructs in the Unified Theory of Acceptance and Use of Technology (UTAUT3) on the interest of MSMEs in using the QRIS payment system at Bank Syariah Indonesia with trust and perceived ease of use as mediation variables. The research method used is Systematic Literature Review (SLR) with the PRISMA approach to identify, select, and analyze relevant scientific articles in the 2020–2025 period. The literature search process produced 2,395 articles from a database of reputable scientific journals, then an elimination process was carried out based on inclusion and exclusion criteria so that 71 articles were obtained that were eligible for further analysis. The study stages were carried out systematically through the process of identification, screening, feasibility assessment, and determination of final articles. The results of the study show that the main constructs in the technology acceptance model such as performance expectancy, effort expectancy, social influence, and facilitating conditions have an important influence on interest in using digital payment technology. In addition, additional factors such as trust and perceived ease of use have been proven to act as mediating variables that strengthen the relationship between technology construct and the intention to use QRIS by MSME actors. Trust in system security and ease of use of technology are crucial factors in increasing user confidence in digital payment services, especially in the context of Islamic banking-based financial services. The findings of this study provide a theoretical contribution to the development of a digital payment technology acceptance model based on UTAUT3 and provide practical implications for financial institutions and regulators in increasing the adoption of QRIS among MSME actors. The next research is suggested to develop an empirical model with a quantitative approach to test the relationship between variables more comprehensively in the context of the digital economy in Indonesia.
Abstract:This study conducts a bibliometric analysis of literature (2015-2025) on Indonesian stock market resilience to Federal Reserve monetary policy shocks. Data were collected from Google Scholar using Publish or Perish 8 with…
h relevant keywords. A total of 82 publications with 476 citations (h-index = 9) were identified. VOSviewer was used for bibliometric analysis to map keyword co-occurrence in titles and abstracts. Network visualization revealed three dominant clusters: (1) Federal Reserve monetary policy and capital flow spillovers, (2) market volatility and investor behavior, and (3) financial resilience and domestic policy responses. The overlay timeline indicated a shift from spillover and volatility issues in mid-decade to resilience topics in recent years. The literature suggests that while the Indonesian stock market remains sensitive to Fed rate changes, it has shown growing resilience due to proactive domestic policy interventions
Abstract:The rapid development of digital financial technology has significantly transformed investment activities by providing easier access to financial markets through digital investment applications. This study aims to explore…
e the perceptions and experiences of beginner investors in making investment decisions in the digital era. Using a qualitative research approach with a phenomenological perspective, data were collected through semi-structured interviews with beginner investors who actively use digital investment applications. The collected data were analyzed using thematic analysis to identify patterns and themes related to investors’ experiences and decision-making processes. The findings reveal that investment decision-making among beginner investors is influenced by several interconnected factors, including the accessibility and usability of digital investment platforms, the influence of social media and online communities, the development of financial literacy, and psychological experiences related to investment gains and losses. Digital investment applications play a crucial role in lowering barriers to market participation by providing user-friendly interfaces and accessible financial information. However, reliance on social media as a source of investment information may also expose investors to misinformation and speculative investment behavior. In addition, emotional responses such as confidence, fear, and uncertainty often influence investment decisions among beginner investors. Overall, the study highlights that investment decision-making in the digital era is a multidimensional process shaped by technological accessibility, social influence, financial knowledge, and psychological factors. These findings contribute to a deeper understanding of investor behavior in digital financial environments and emphasize the importance of financial education and responsible investment practices.
Abstract:The healthcare industry has historically been viewed as a non-cyclical, defensive, safe haven for investors. However, the post-pandemic period has revealed the industry's susceptibility to disruptions in global supply chains…
ains and geopolitical tensions. The present research examines the effects of Geopolitical risk (GPR) on the stock performance of 76 publicly listed healthcare companies in Southeast Asia (Indonesia, Malaysia, the Philippines, Thailand, Vietnam, and Singapore) during 2015-2024. According to the Caldara and Iacoviello GPR Index, this study utilizes Panel Autoregressive Distributed Lag (ARDL) the results show that though general Geopolitical Risk and Inflation are strongly negatively impacting the stock performance, specific Geopolitical Acts (GPRA) and Threats (GPRT) are having a positive response indicating a necessity premium in which investors expect a boom in demand of medical supplies once a conflict is realized. It concludes that the healthcare industry is not a safe haven but a highly fragmented environment in which inflation poses a greater threat to companies than political instability. The study advises that investors should consider a bottom-up approach, specifically micro-resilience screening, and that corporate managers should focus on supply chain decoupling and inflation hedging to address the Resilience Gap identified in the region.
Abstract:The persistent gap between theoretical instruction and real-world practice remains a critical challenge in business education, particularly in contexts involving Micro, Small, and Medium Enterprises (MSMEs). Experiential…
learning has been promoted as a pedagogical response to this challenge; however, many initiatives lack structured frameworks that integrate student learning with meaningful community engagement. This study examines the implementation of the BRIDGE model (Build, Reach, Discover, Grow, and Elevate) as a structured business mentoring approach grounded in experiential learning principles. Using a qualitative participatory action research design, the study involved 15 undergraduate business students and five MSMEs in Semarang City, Indonesia. Data were collected through participant observation, in-depth interviews, focus group discussions, reflective journals, and program documentation, and analyzed using thematic analysis. The findings indicate that the BRIDGE model facilitates deep experiential learning by enabling students to connect theoretical concepts with contextual business realities, while simultaneously generating instrumental and symbolic benefits for MSME partners. Despite limitations related to program duration, the model demonstrates strong potential as a feasible and transferable framework for experiential business education in emerging economy contexts.
Abstract:This study investigates the role of acquisition premiums in mergers and acquisitions (M&A) and their impact on shareholder wealth, focusing on five major Indian deals in pharmaceuticals, retail, banking, steel, and renewable…
able energy sectors. Potential synergies often justify acquisition premiums ranging from approximately 15% to 40% above target companies’ market values. However, market responses suggest that such premiums may not consistently result in value creation for acquiring firms' shareholders. Empirical findings reveal mixed outcomes: Sun Pharma’s acquisition of Ranbaxy led to a 9.8% share price increase within five days, while Tata Steel’s high-premium acquisition of Bhushan Steel saw only a 1.7% gain. In contrast, deals like Reliance–Future Retail and Tata Power–Welspun Power showed minimal or negative returns, despite sizable premiums. These patterns indicate that premium size alone is not a reliable predictor of post-deal shareholder wealth creation. The study concludes that M&A success depends more on strategic fit, market timing, and sectoral dynamics than on the premium offered. This analysis contributes to the broader M&A discourse by offering evidence-based insights into how premium valuations can either maximise or dilute shareholder value, aiding investors, corporate strategists, and policy analysts in deal assessment.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.