Abstract:This study aims to improve the internal capacity of Malabar MSMEs in managing digital marketing through an internal training program designed based on the SMART Framework approach. The main problem faced by Malabar is the…
e lack of staff understanding in managing social media, especially Instagram, which impacts weak brand awareness and brand identity. This study uses a descriptive qualitative approach with a project-based learning method, in which researchers are actively involved in the planning, implementation, and evaluation of the training program. Data were collected through participant observation, semi-structured interviews, and documentation during the training process. The training objectives were formulated specifically, measurable, achievable, relevant, and time-limited, in accordance with the SMART principles. The results showed a significant increase in staff understanding of content planning, creating visual materials consistent with brand identity, and using Instagram analytics features. The post-test showed an increase in the average score of participants, and the MSMEs' digital activities became more structured. These findings indicate that internal training designed with the SMART approach is effective in building staff digital competencies and supporting brand image strengthening on social media. Overall, this study shows that improving internal digital literacy is a strategic step that can strengthen the competitiveness of MSMEs in the ever-evolving digital ecosystem
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:Digital transformation at Islamic Rural Banks demands governance that is accountable, secure, and aligned with sharia principles. This study aims to map digital governance practices and formulate prerequisites for safe,…
compliant, and value-oriented implementation. Using a qualitative phenomenological approach and adopting an active participatory method, data were collected through in-depth interviews, document reviews, and observations with purposive sampling (management, DPS, IT/cybersecurity units, and customers). The analysis refers to the Miles & Huberman model (data reduction–data presentation–conclusion drawing); validity is maintained through source triangulation, member checking, and audit trails. The findings consolidate five key domains: (1) the role of DPS in digital decisions and ongoing supervision, (2) human resource capabilities and risk culture, (3) IT & cybersecurity architecture (data protection, incident response, business continuity), (4) risk management–compliance (synchronization of OJK–DSN–MUI guidelines), and (5) digital customer literacy and experience. The theoretical contribution integrates the Institutional, Accountability, and TAM/UTAUT perspectives to explain the drivers and barriers to adoption. Practically, a risk-based digital governance roadmap is developed that prioritizes cybersecurity governance, strengthening the role of the DPS through digital oversight, and data governance policies.
Abstract:This study aims to determine the effect of learning styles on academic achievement, the effect of learning motivation on academic achievement, and the effect of learning styles and learning motivation on academic achievement.…
ment. Sampling was carried out using a simple purposive sampling technique so that 44 students were obtained. Data collection used an online questionnaire. Data analysis used multiple linear regression analysis. The results of the study showed that the partial test (t-test) concluded that learning styles had a significant effect on academic achievement and learning motivation had a significant effect on academic achievement. Based on the F test, it was concluded that learning styles and learning motivation jointly influenced the learning achievement of FEB students at Makassar State University. Therefore, teachers are advised to analyze student learning styles in determining teaching methods and always motivate students to increase the intensity of their learning efforts.
Abstract:This study aims to analyze human resource (HR) management planning, identify obstacles, and formulate efforts to support the digitalization of school management. The study used a qualitative descriptive approach with in-depth…
depth interviews, observation, and documentation techniques with the principal, vice principal, teachers, and administrative staff. The results showed that HR planning at SMK Negeri 2 Gunungsitoli was carried out through three main steps: (1) needs analysis and preparation of technology-based teacher formation, (2) competency mapping and identification of information and communication technology (ICT) training needs, and (3) empowerment of teachers and staff through workshops, mentoring, and discussion forums. Obstacles faced included limited digital literacy among teachers and staff, unequal network access, and resistance to changes in technology-based learning methods. Efforts made by the school included providing digital literacy training, optimizing available devices and networks, utilizing offline learning applications, and creating a work culture that is adaptive to innovation. This study concluded that targeted HR planning, infrastructure support, and continuous competency development are important factors in realizing effective digital transformation in schools. These findings are expected to be useful for SMK Negeri 2 Gunungsitoli, other educational institutions, and further researchers in developing digitalization strategies for school management.
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:Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination…
examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.
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 aims to determine the effect of Word of Mouth (WOM) and promotion on consumer purchasing decisions for Fore Coffee products at the Alauddin Makassar branch. In the current digital era, consumer behavior is heavily…
vily influenced by peer recommendations and digital promotional strategies. Using a quantitative research approach with stratified random sampling, data were collected from 100 respondents through a Likert-scale questionnaire. Multiple linear regression analysis was used to assess the impact of the two independent variables—WOM and promotion—on purchasing decisions. The results showed that WOM has a significant partial influence on purchasing decisions, indicating that peer communication, both traditional and electronic, is a dominant factor in shaping consumer perceptions and preferences. Promotion, on the other hand, did not show a significant partial effect, suggesting that price incentives alone may not be sufficient to influence purchasing behavior unless reinforced by social influence or trust. However, the simultaneous effect of WOM and promotion was statistically significant, emphasizing their combined role in consumer decision-making. The study concludes that WOM is a more dominant and effective marketing tool than standalone promotions and should be central to marketing strategies in the lifestyle-based coffee industry. These findings contribute to a deeper understanding of consumer behavior and offer practical implications for enhancing marketing effectiveness through integrated communication approaches.