Abstract:The rapid proliferation of AI-powered marketing technologies in emerging markets poses a fundamental challenge to culturally-grounded micro, small, and medium enterprises (MSMEs): how can algorithmic imperatives be reconciled…
ciled with indigenous value systems that define not only business practice but collective identity? Despite growing research on both AI adoption in SMEs and indigenous knowledge preservation, scholarship rarely examines how traditional values actively mediate rather than merely moderate commercial technology adoption. This study addresses that gap by investigating how MSMEs in Makassar City, Indonesia, negotiate AI marketing integration while preserving siri’ na pacce, the Bugis-Makassar philosophical framework centred on dignity (siri’) and solidarity (pacce). Employing interpretive phenomenology integrated with Community-Based Participatory Research (CBPR), the study conducted 23 in-depth interviews and three focus group discussions with 44 MSME owners and key personnel across traditional culinary, artisan craft, ethnic fashion, and digital service sectors. Template analysis generated four overarching themes: (1) value-based technology discernment, wherein siri’ na pacce operates as an active epistemological filter for evaluating AI tools; (2) strategic selective adoption, wherein enterprises accept algorithmically aligned functions while rejecting culturally incompatible features; (3) cultural indigenization of technology, wherein AI systems are actively reoriented toward communal rather than individualistic ends; and (4) constrained agency under platform power, wherein algorithmic visibility systems penalise cultural non-conformity with market exclusion. These findings challenge technological determinism and advance decolonial computing theory by demonstrating that indigenous values simultaneously enable epistemological agency and are constrained by structural power asymmetries, a duality insufficiently theorised in prior technology adoption frameworks. The study calls for regulatory frameworks establishing indigenous data sovereignty, participatory AI co-design with local communities, and cooperative digital infrastructure as conditions for authentic, rather than performative, cultural integration.
Abstract:This study examines the linkage between digital literacy, workforce development, and macroeconomic growth in the context of an increasingly digitalized economy. Moving beyond descriptive approaches, it investigates how digital…
igital competencies function as a critical mechanism shaping labor productivity, innovation capacity, and economic performance. Using cross-sectoral data and workforce survey evidence, the study analyzes the extent to which digital skills contribute to workforce adaptability and organizational efficiency. The findings reveal that higher levels of digital literacy significantly enhance workforce development by improving skill alignment, fostering innovation, and increasing competitiveness across industries. At the macro level, these improvements translate into measurable contributions to economic growth through productivity gains and structural transformation. Furthermore, the study underscores the importance of multi-stakeholder collaboration among educational institutions, industry, and government in designing integrated digital literacy programs. Such coordinated efforts are essential to ensure sustainable skill development and long-term economic resilience. This research contributes to the literature by providing an integrated perspective that explicitly links digital literacy to both workforce development and macroeconomic outcomes, offering practical implications for policymakers and stakeholders in shaping inclusive and sustainable growth strategies.
Abstract:This study aims to analyze the application of green accounting in hazardous waste management and its role in mitigating ecological risks in the biopharma industry, with a case study at PT Daewoong Infion. The background…
of the study is driven by the increasing risk of environmental and health pollution due to hazardous waste generated by the biopharmaceutical production process, as well as the limitations of conventional accounting systems in capturing ecological costs and impacts. This study uses a qualitative approach with a case study design, through primary data collection in the form of in-depth interviews with key informants and field observations, as well as secondary data from company documents and related regulations. Data analysis was conducted descriptively and interpretively to identify green accounting practices, environmental cost components, and ecological risk mitigation mechanisms. The results show that PT Daewoong Infion has implemented green accounting through the recognition and recording of hazardous waste management costs, pollution control, and environmental disclosure, which contributes to increased regulatory compliance, waste management efficiency, and ecological risk reduction. In addition, these practices strengthen the company's legitimacy and meet stakeholder expectations, in line with legitimacy theory and stakeholder theory. This study concludes that green accounting serves as an effective managerial and reporting instrument in integrating economic objectives and ecological responsibility, thereby supporting the operational sustainability of the biopharma industry. These findings recommend strengthening environmental cost measurement systems and reporting transparency to enhance sustainable ecological risk mitigation.
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:The development of Islamic microfinance institutions requires the implementation of financing schemes that are not only compliant with Sharia principles but also capable of maintaining financing quality and sustainability.…
y. One of the most widely applied contracts is murabahah financing, particularly in supporting Micro, Small, and Medium Enterprises (MSMEs). This study aims to analyze the implementation of murabahah financing and the risk mitigation strategies applied at BMT Alif Mandiri Makassar. This research employs a qualitative approach with a descriptive-analytical method. Data were collected through field observations, in-depth interviews with management and financing officers, and documentation studies. The findings indicate that murabahah financing at BMT Alif Mandiri Makassar is implemented regularly through several stages, including application submission, feasibility analysis, financing approval, contract realization, and post-disbursement monitoring. The financing analysis emphasizes repayment capacity, members' character, and the suitability of financed goods for productive business needs. Risk mitigation strategies are conducted through careful customer character assessment, direct business verification, proportional margin determination, the use of collateral as a financing safeguard, and continuous monitoring. This study concludes that productive murabahah financing supported by integrated risk management practices is an effective and sustainable financing instrument for the development of MSMEs within Islamic microfinance institutions
Abstract:This research is based on the imbalance between demand and supply that often occurs in the consumer goods market in Makassar, which causes price changes and market instability. This study is unique in a local context by…
emphasizing the real interaction between demand and supply as a factor that affects the market balance at the regional level. The purpose of this study is to investigate the impact of demand and supply on the balance of the consumer goods market in Makassar. This study adopts a quantitative approach by using primary data from 250 respondents, consisting of 200 consumers and 50 traders with questions using a five-point Likert scale. Data analysis is carried out with multiple linear regression using SPSS version 25, as well as involving validity testing, reliability and classic assumption testing. Research findings show that the demand and supply variables have a positive and significant effect on the market balance with an Adjusted R² of 0.285. Together, the two variables explain 28.5% variation in market balance. This result shows that the increase in demand and the availability of the supply of consumer goods are the key to maintaining price stability in the local market.
Abstract:Micro, small, and medium enterprises (MSMEs) in developing countries like Indonesia are highly vulnerable to financial risks yet often lack formal risk-management practices, relying instead on personal experience, intuition,…
ion, and culturally rooted local practices to navigate financial uncertainty. This study aimed to identify MSME owners' perceptions of financial risks, explore informal mitigation strategies based on local experience and community practices, analyze the influence of cultural norms and social networks, and propose a contextually grounded problem-solving framework. Employing a qualitative research design, the study used in-depth semi-structured interviews, direct observations, and document analysis with MSME owners, and analyzed the data using thematic analysis and triangulation to ensure credibility. The results revealed three primary financial risk-mitigation strategies: adaptive cash-flow management, reliance on social capital and local economic networks, and experiential diversification driven by local market knowledge. The findings demonstrate that MSMEs develop resilience through culturally embedded practices and social structures, confirming that interventions should leverage existing informal mechanisms and integrate culturally compatible tools rather than imposing rigid formal frameworks.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.
Abstract:This research investigates the policy landscape surrounding social entrepreneurship in Indonesia, encompassing legal and regulatory frameworks, government initiatives, and institutional support for social enterprises. The…
e study is crucial as it addresses an understudied area, aiming to inform policymakers, foster collaboration, stimulate economic development, and promote sustainable growth. The methodology involved qualitative interviews with eight social entrepreneurs across Indonesia. Collected data was analyzed using content analysis techniques, facilitated by the MAXQDA platform. Findings indicate that despite social entrepreneurship being an emerging field in Indonesia, there is a notable lack of effective policies and regulations. Six of eight respondents perceived inadequate current regulatory support, and half cited financial challenges as a significant issue. Conversely, seven respondents acknowledged existing government assistance, suggesting a willingness to support the sector. Based on these results, key recommendations for the government to foster a supportive ecosystem include developing non-overlapping policies, implementing substantive policy changes, promoting useful policies, simplifying bureaucracy, and engaging in direct dialogue with social entrepreneurs. The research concludes that addressing these areas can empower social entrepreneurs to create lasting social impact. This study uniquely fills a gap by directly engaging social entrepreneurs, though future research should include government representatives for broader perspectives.
Abstract:This study investigates the influence of artificial intelligence (AI) integration on strategic financial management in large corporations. Focusing on a sample of 20 Fortune 500 companies from diverse industries, the research…
earch employs a quantitative, descriptive-analytical approach utilizing secondary data from financial reports and AI system logs. The findings reveal that AI adoption significantly enhances forecasting accuracy, risk identification, and operational efficiency, while also enabling financial managers to redirect resources toward creative and strategic initiatives. However, the study also identifies challenges related to data quality, ethical considerations, and skill gaps in AI utilization. The results highlight the importance of a balanced approach that combines AI-driven insights with managerial intuition to maximize value creation in the digital age.