Abstract:This study examines the Ar Rahman Human Being (ARHB) Model as an integrative framework of resource-based business resilience by incorporating akhlakul karimah as moral capital functioning as an internal governance mechanism.…
ism. The study addresses the limitation of the resource-based view (RBV), which tends to emphasize resource capacity without adequately considering the normative dimension guiding its utilization. A contingency model is proposed that positions internal moral quality as a conditioning factor for the effectiveness of strategic resources in enhancing business resilience. Using an explanatory quantitative approach with a cross-sectional design, data were collected from 250 micro and small enterprise (MSE) owners in Makassar City. Structural Equation Modeling based on Partial Least Squares (SEM-PLS) was employed to analyze the direct effects of expertise, education and training, physical capacity, and capital on business resilience, as well as the moderating role of akhlakul karimah in these relationships. The results indicate that expertise, education and training, physical capacity, and capital positively influence business resilience. Furthermore, akhlakul karimah strengthens the relationship between strategic resources and business resilience, suggesting that the effectiveness of transforming technical capacities into business resilience is contingent upon the entrepreneur’s internal moral quality. These findings extend resource-based business resilience discourse by integrating moral capital as an internal governance mechanism.
Abstract:This study aims to analyze the fundamental condition and assess the investment feasibility of eleven issuers that consistently appeared in the Sri Kehati Index during the 2020–2024 period. Fundamental analysis was conducted…
ucted using the financial ratios TATO, ROE, EPS, CR, DER, and DPR. The results show that UNVR and KLBF demonstrated high efficiency in asset management, while BBCA and BMRI exhibited strong profitability. JSMR had an aggressive capital structure but was supported by adequate liquidity. Meanwhile, UNVR and BBRI stood out for their generous dividend distribution policies. Stock valuation was carried out using two approaches: PER and PBV. Based on PER, nine issuers were classified as undervalued because their intrinsic values exceeded market prices, while two issuers (DSNG and SMGR) were considered overvalued. In contrast, the PBV approach indicated that ten issuers were overvalued, with only DSNG being undervalued. These differing results suggest that PER focuses more on a company’s earnings performance, whereas PBV emphasizes its book value. Therefore, stock investment assessment should be carried out comprehensively by considering more than one valuation method.
Abstract:The issue of digitalization of education has led to the increased dependency on Information Systems (IS), especially Learning Management Systems (LMS), to provide continuity of learning after the COVID-19 pandemic situation.…
ion. At Edulab, as a large learning service provider in Indonesia, LMS works as a central of learning provision, evaluation, communication, and academic tracking. Despite the strategic role, there are still frequent problems like unreliable access, incomplete evaluation, flawed data, and deteriorated performance when the system is at its peak usage, and it interferes with the learning processes and lowers the level of user confidence. This paper discusses the effect of LMS quality on service delivery, satisfaction among users and effectiveness of the entire platform at the institution. It is being analyzed in terms of the DeLone and McLean Information System Success Model, which is being supplemented by the Technology-Organization-Environment (TOE) framework. The mixed method was used, which integrated a survey of 1,081 users of the LMS who were estimated through Structural Equation Modeling (SEM) and a semi-structured interview with key stakeholders of the management. The results suggest that system, information, and service quality are very powerful predictors of user satisfaction with service quality coming out as the most significant factor in LMS effectiveness in service-oriented institutions of learning.
Abstract:The uncertainty surrounding the global economy has created existential challenges for the tourism industry, necessitating a Human Resource Management (HRM) paradigm that goes beyond traditional administrative approaches.…
This study aims to explore adaptive HRM strategies in the face of the global crisis, with a particular focus on the highly vulnerable tourism and hospitality industries.
This study uses the PRISMA framework to conduct a systematic literature review of 26 peer-reviewed articles published between 2023 and 2025, sourced from Google Scholar. The findings indicate that effective adaptive strategies require the holistic integration of e-HRM and Artificial Intelligence (AI) to enhance operational agility, the implementation of GHRM to drive efficiency and employee retention, and the development of Agile Leadership to navigate uncertainty. Furthermore, this study highlights the crucial role of prioritizing employee well-being and Psychological Capital (PsyCap), particularly in emerging economies where social safety nets may be limited. This research provides a comprehensive framework for HR practitioners in the tourism sector to formulate policies that balance business continuity with human-centric support in challenging times.
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 is motivated by the importance of building customer trust inencourage customer interest and decisions to save regularly at BPR Syariah, especially through strengthening personal selling marketing communication…
ion strategies and positive service experiences. The main theory underlying this research is the Theory of Planned Behavior (TPB). This research aims to analyze (1) the influence of personal selling on saving decisions, (2) the influence of customer experience on saving decisions, (3) to determine whether trust mediates the relationship between personal selling and saving decisions, (4) to determine whether trust mediates the relationship between customer experience and saving decisions at BPRS Baiturridha Pusaka-Bandung. This study uses a quantitative approach through the Structural Equation Modeling–Partial Least Squares (SEM–PLS) method. The sample consisted of 120 active customer respondents of BPRS Baiturridha Pusaka-Bandung selected using a probability sampling technique through a simple random sampling approach, where each member of the population has an equal chance of being selected as a respondent. Data collection was carried out through the distribution of structured questionnaires and analyzed using Smart PLS software version 3.0. The results of the study show that (1) Personal Selling does not influence the decision to save (2) Customer Experience has a positive and significant influence on the Decision to Save (3) Trust is not proven to significantly mediate the relationship between personal selling and the decision to save (4) Trust is proven to significantly mediate the relationship between customer experience and the decision to save. These findings confirm that in the context of BPR Syariah, positive customer experience is the main factor in forming trust and driving savings behavior
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 examines the effect of work-life balance on employee performance, with family supportive supervisor behavior as a moderating variable. The research was conducted at the Regional Financial and Asset Management…
Agency (BPKAD) of Banten Province, Indonesia, involving civil servants as respondents. This study addresses the issue of fluctuating employee performance despite repeated institutional achievements, by investigating the role of work-life balance and supervisor support in enhancing individual outcomes. A quantitative approach with a descriptive design was used, and data were collected through structured questionnaires. The results show that work-life balance positively influences employee performance. However, family supportive supervisor behavior does not significantly strengthen this relationship, indicating that while supervisor support is appreciated, it may not be sufficient in the absence of broader organizational support systems. These findings highlight the importance of implementing formal work-life policies and promoting a supportive work culture to improve employee well-being and performance in public institutions.
Abstract:This study explores work-life balance among female government employees across generations, with a focus on gender-related challenges. Women are hypothesised to face imbalances due to dual roles at work and home. Using a…
phenomenological approach and descriptive quantitative analysis, the study finds that Indonesian women across generations generally experience moderate work-life balance. Notably, Baby Boomers (60–78 years) and Generation Z (12–27 years) report higher balance, while Generation X (44–59 years) and Millennials (28–43 years) face lower balance due to simultaneous career and family responsibilities. The study offers generationally tailored suggestions, although results may not generalise to women in sectors like banking or private industry. Implications include the need for organisations to act as facilitators, supporting female employees to ensure psychological well-being and sustained performance.
Abstract:Digital technology has great potential to revolutionize family finance, especially in rural areas such as Watang Kassa Village, Batulappa District, Pinrang Regency. Digital finance provides solutions for families that previously…
eviously relied on manual financial record-keeping and traditional financial information systems. With digital technology, people can record and monitor their family finances through digital financial platforms, making family financial management more efficient. Research Objectives: (1) To analyze the level of digital financial literacy among low-income communities and identify the factors influencing it. (2) To evaluate the role of digital financial platforms in helping low-income families manage their finances effectively. (3) To identify the challenges faced by low-income communities in accessing and utilizing digital financial services. (4) To assess the impact of using digital financial technology on family financial management and the well-being of low-income communities. This study employs a Participatory Action Research (PAR) approach. Participatory Action Research is a research method that involves the active participation of the community or group being studied throughout the research process, from planning, implementation, and reflection to corrective actions. The research findings indicate that the community lacks sufficient education regarding financial literacy in the use of digital tools for managing family finances. This lack of education poses a significant challenge in adopting digital finance for financial management among low-income communities. However, with the financial revolution, low-income communities have begun to understand the use of digitalization in managing family finances.