Abstract:This paper uses Time-Driven Activity-Based Costing (TDABC) in identifying cost per student, program profitability, and breakeven point across programs and branches at PT Kreasi Edulab Indonesia as it seek to solve the cost…
st allocation issues that arise due to the differences in instructional hours, staffing activity, and resource usage in providing educational services. The study will employ a quantitative methodology in which they will formulate TDABC-based cost modelling and simulating models to assign operational costs to the real instructional time and teaching capacity. Primary data were gathered by direct observation and internal cost structure mapping, whereas the secondary data were in the form of financial records, class schedules, and student enrollment reports. The analysis combines descriptive statistics, TDABC simulations, program profitability analysis, breakeven analysis, and sensitivity analysis to measure the cost per student, program level operating performance, minimum viable class sizes, and how the major financial drivers influence the operating profit. The findings indicate significant differences in cost per student and profitability of programs and size of a branch with some branches having lower levels of profitability below sustainable levels of breakeven despite the similar levels of revenues. The sensitivity analysis shows that average revenue per student is the most sensitive variable of operating profit, over and above the fluctuations in the enrolment volume and cost structure. Altogether, the results indicate that TDABC contributes to the increase of cost transparency and offers a solid foundation to the pricing, class consolidation, and operational decision-making.
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 aims to analyze the interpretations, behaviors, and preferences of gold investment among civil servants (PNS) of the South Sulawesi Provincial Government in facing economic volatility and inflation. Using a descriptive…
scriptive qualitative method with a case study approach, this study collected data through in-depth interviews with 13 informants consisting of active civil servants, retirees, and financial practitioners, supported by secondary data analysis. The results show that PNS interpretations of gold are multidimensional, namely as an effective life buffer and hedge against inflation, as well as an instrument for fulfilling cultural obligations (uang panai' and siri'). This study found a transformation in investment behavior from gold jewelry to gold bars and digital savings, driven by mental accounting mechanisms through payroll deduction systems to discipline spending. In conclusion, the local culture of Bugis-Makassar interacts dynamically with modern financial literacy, creating a hybrid investment pattern supported by sharia compliance and the integration of regional banking technology.
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.
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 study aims to analyze the effect of Procedural Justice on Organizational Citizenship Behaviour (OCB) through Perceived Organizational Support (POS) among hotel employees in Makassar City. The research is motivated by…
y the declining extra-role behaviors of employees, which affect service quality, allegedly driven by perceived procedural injustice and low organizational support. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected through questionnaires from employees of three- to five-star hotels. The results reveal that Procedural Justice has a positive and significant effect on both POS and OCB, directly and indirectly. Moreover, POS functions as both a mediator and a moderator, strengthening the relationship between procedural justice and OCB. The R² and Q² values indicate a high explanatory and predictive relevance, while the Goodness of Fit Index confirms the empirical adequacy of the model. These findings support the Social Exchange Theory (Blau, 1964) and Organizational Support Theory (Eisenberger et al., 1986), asserting that fairness and organizational support foster reciprocal relationships that motivate employees to engage in voluntary, extra-role behaviors. This study contributes theoretically by extending the application of social exchange theory within the hospitality context and provides practical implications for hotel management to enhance procedural justice and organizational support as strategies to improve employees’ organizational citizenship behaviour.
Abstract:In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted…
ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.
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.
Abstract:Multi-sensory brand experience has emerged as a crucial factor in modern marketing, significantly influencing customer satisfaction, brand perception, and loyalty. Despite its increasing importance, research in this area…
remains fragmented, with theoretical integration and empirical validation gaps. This study employs a Systematic Literature Review (SLR) and bibliometric analysis using the Scopus database to map the evolution of research on multi-sensory brand experiences and their impact on customer satisfaction. From an initial dataset of 203 documents, a rigorous selection process resulted in 41 relevant articles for in-depth analysis. Using VOS viewer, the study visualizes research networks, inter-topic relationships, and emerging trends, revealing a 47% increase in publication volume from 2012 to 2024.
Findings indicate that customer satisfaction, consumer behaviour, and sales are dominant themes, with sentiment analysis and digital technology (AI, AR) gaining traction in recent years. However, significant gaps remain, particularly in experimental studies quantifying the long-term impact of multi-sensory experiences on customer loyalty and cross-industry comparisons of multi-sensory branding effectiveness. The novelty of this study lies in its combined bibliometric and systematic approach, which identifies critical research trends, theoretical gaps, and emerging digital strategies in multi-sensory marketing. This study contributes to the academic discourse by comprehensively synthesizing research trends and proposing future research directions in technology-driven branding strategies and consumer engagement.