Abstract:The rapid advancement of digital technology has fundamentally reshaped consumer behavior globally, with social media becoming the primary channel for product information seeking. Approximately 51% of Indonesians rely on…
user reviews before purchasing, and 62% have bought products under the direct influence of Social Media Influencers (SMIs). Despite this, the psychological mechanisms linking influencer characteristics to purchase intention remain fragmented across sectors and platforms. This systematic literature review synthesizes nineteen empirical studies published between 2020 and 2025, spanning beauty, fashion, gadget, and sustainable product sectors across multiple countries, to examine how Source Credibility (attractiveness, trustworthiness, expertise) and Parasocial Interaction (PSI) jointly shape consumer purchase intentions. Three core findings emerge: (1) trustworthiness is the sole credibility dimension that is universally and consistently significant across all contexts, fundamentally challenging assumptions about the equal contribution of the three credibility dimensions; (2) PSI operates not as a single mediator but as a multi-pathway psychological bridge through hedonic value, brand attitude, vicarious experience, and social-personal value whose specific active pathway is contingent on platform, product type, and cultural context; and (3) generational and cultural moderators systematically shape which credibility dimension most powerfully drives PSI. A Proposed Integrative Conceptual Framework and a synthetic cross-study comparison matrix (Table 2) consolidate these findings. Results offer strategic implications for influencer marketing practice and identify priority directions for future research.
Abstract:Digital transformation has fundamentally reshaped healthcare service delivery worldwide, particularly in tertiary hospitals that rely heavily on integrated digital systems such as Electronic Health Records (EHRs), telemedicine,…
dicine, clinical decision support systems, and data-driven healthcare technologies. Despite rapid technological advancement, limited empirical evidence explains how healthcare professionals’ digital competence contributes to healthcare service performance within the context of healthcare transformation in Saudi Arabia. Previous studies have primarily focused on technological adoption or technical outcomes, while the psychological and organizational mechanisms underlying digital healthcare performance remain underexplored. Drawing upon the Job Demands–Resources (JD-R) Theory and Resource-Based View (RBV), this study investigates the influence of Digital Health Competence (DHC) on Healthcare Service Performance (HSP), examining the mediating role of Work Engagement (WE) and the moderating role of Organizational Support (OS). This study employed a quantitative cross-sectional explanatory design using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data were collected from 312 healthcare professionals at King Abdullah Medical City (KAMC), Saudi Arabia, selected through stratified random sampling. The study included physicians, nurses, pharmacists, and allied healthcare professionals actively utilizing digital healthcare systems in clinical practice. Measurement instruments were adapted from internationally validated scales, including the European Digital Competence Framework for Health Professionals, Utrecht Work Engagement Scale (UWES), and Perceived Organizational Support Scale. Data analysis included assessment of the measurement model, structural model evaluation, mediation analysis, moderation analysis, effect size (f²), predictive relevance (Q²), and model fit indices. The findings demonstrated that Digital Health Competence had a positive and significant effect on Healthcare Service Performance (β = 0.328, p < 0.001) and Work Engagement (β = 0.541, p < 0.001). Work Engagement significantly influenced Healthcare Service Performance (β = 0.462, p < 0.001) and partially mediated the relationship between Digital Health Competence and Healthcare Service Performance (β = 0.250, p < 0.001). In addition, Organizational Support significantly moderated the relationship between Digital Health Competence and Work Engagement (β = 0.217, p < 0.001). The structural model demonstrated substantial explanatory power (R² HSP = 0.683) and satisfactory predictive relevance. This study contributes theoretically by extending the application of JD-R Theory and RBV within the context of digital healthcare transformation in tertiary hospitals. The study proposes an integrated model demonstrating that digital competence functions not only as a technical capability but also as a strategic personal resource that enhances work engagement and healthcare service quality. Practically, the findings emphasize the importance of strengthening digital competency development, supportive organizational climates, and adaptive digital infrastructures to improve healthcare professionals’ performance and accelerate sustainable healthcare transformation in Saudi Arabia.
Abstract:Improving the quality of modern healthcare services largely depends on the effectiveness and efficiency of nursing personnel as the frontline providers of patient care. The complex and high-pressure work environment of specialized…
pecialized hospitals requires nurses to cope with emotional demands, heavy workloads, and rapid decision-making in critical situations. These conditions make emotional intelligence one of the important psychological factors influencing nursing performance quality. This study aimed to analyze the relationship between emotional intelligence and nursing work efficiency at King Fahad Specialist Hospital – Qassim Cluster, Saudi Arabia, in 2026. This study employed a quantitative approach with a cross-sectional design. The study population consisted of all active nurses working at King Fahad Specialist Hospital, Qassim Health Cluster. A total of 312 nurses were selected using stratified random sampling. Data were collected using the Emotional Intelligence Scale and Nursing Work Efficiency Scale, both of which had been tested for validity and reliability. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4 software. The results revealed that emotional intelligence had a positive and significant effect on nursing work efficiency, with a path coefficient of 0.642, t-statistics of 9.871, and p-value < 0.001. The R-square value of 0.58 indicated that emotional intelligence explained 58% of the variance in nursing work efficiency. Emotional regulation and empathy emerged as the dominant indicators contributing to improved communication quality, clinical decision-making, and patient care effectiveness. This study concludes that emotional intelligence is an important psychological resource in improving nursing work efficiency in specialized hospitals. The findings strengthen the Job Demands–Resources (JD-R) Theory and Emotional Intelligence Theory in explaining the relationship between psychological resources and nursing performance. This study is expected to provide theoretical contributions to the development of nursing management literature and practical contributions for hospitals in designing healthcare human resource development strategies based on psychological well-being.
Abstract:This study aims to analyze and formulate a concept of Islamic legal protection for crypto investors in responding to the dynamics of digital crimes within virtual currency transactions. Departing from the rapid development…
nt of blockchain technology and the recognition of crypto assets as tradable commodities in Indonesia, this research identifies a normative ambiguity between positive law and religious fatwas, particularly concerning the permissibility and legal legitimacy of cryptocurrencies from a sharia perspective. The inherent characteristics of crypto assets-namely volatility, speculative tendencies, and vulnerability to digital crimes such as hacking, fraud, market manipulation, and money laundering-generate significant risks for Muslim investors. Within the framework of fiqh al-muʿāmalāt and maqāṣid al-sharīʿah, especially the principle of ḥifẓ al-māl (protection of wealth), this study asserts that investor protection constitutes not merely a regulatory necessity but an integral dimension of the higher objectives of Islamic law in safeguarding justice, transparency, and economic welfare. Methodologically, this research employs a normative-maqāṣidī approach through an interdisciplinary analysis integrating Islamic jurisprudence, national positive law, and the study of digital financial technology. The focus of the inquiry is directed toward identifying the typologies of digital crimes within the crypto ecosystem, evaluating the effectiveness of national regulations and religious fatwas, and formulating a model of Islamic legal protection that is preventive, corrective, and educational in nature. The expected outcome of this dissertation is the construction of a conceptual framework of ḥimāyah al-mustatsmir (investor protection) grounded in maqāṣid al-sharīʿah, adaptive to the digital era, and strengthened through synergy among the state, financial authorities, and fatwa institutions. Accordingly, this study contributes not only to the advancement of contemporary fiqh al-muʿāmalāt discourse but also offers an applicable normative framework for the development of a secure, equitable, and sustainable sharia-based digital economic system.
Abstract:This study discusses the implementation of the Naïve Bayes method to predict catering sales at PT.Negara Rasa Indonesia. The background of this study is based on the problem of suboptimal sales due to the absence of a structured…
tructured sales prediction system. The Naïve Bayes method was chosen because of its simplicity, speed, and ability to classify data with a high degree of accuracy. The data used in this study is historical sales data from the last two years, which has undergone cleaning, labeling, and transformation into four sales categories, namely very popular, popular, fairly popular, and less popular. The testing process was carried out using RapidMiner software by dividing the dataset into training data and test data at various ratios of 80:20. The test results showed a very high level of accuracy, with the highest value reaching 91.41%. These findings prove that the Naïve Bayes method is reliable for predicting catering sales, thereby assisting decision-making in more efficient sales management and planning at PT. Negara Rasa Indonesia.
Abstract:The rapid expansion of the digital economy in Indonesia has significantly transformed business practices and, consequently, the landscape of business dispute resolution. This study presents a critical comparative analysis…
s of arbitration—particularly online arbitration—and conventional court litigation in resolving business disputes in post-digitalization Indonesia. The research focuses on two principal aspects: legal certainty and time efficiency. Using normative juridical analysis supported by relevant legal theories, including Progressive Legal Theory, Development Legal Theory, and Legal Convergence Theory, this study examines the adaptability of dispute resolution mechanisms within the framework of Law Number 30 of 1999 on Arbitration and Alternative Dispute Resolution and related regulations governing electronic court administration. The findings indicate that arbitration, especially through Online Dispute Resolution (ODR), offers greater procedural flexibility, shorter resolution time, and cost efficiency compared to conventional litigation, which remains burdened by rigid procedural stages, administrative complexity, and case backlogs. Digitalization has further enhanced arbitration efficiency by enabling electronic submission of documents, virtual hearings, and digital evidence examination. However, challenges persist, including technological infrastructure limitations, data security concerns, and the need for regulatory harmonization to ensure enforceability and equal legal legitimacy with court decisions. This study concludes that while digital arbitration demonstrates superior time efficiency and practical advantages, regulatory reform and institutional strengthening are essential to guarantee optimal legal certainty in Indonesia’s evolving digital business environment.
Abstract:This study synthesized Ni-doped ZnO (Ni0.05Zn0.95O) and TiO2 (Ni0.05Ti0.95O2) via immersion-assisted coprecipitation for hydrogen production. UV-Vis confirmed bandgap reduction to 2.87 eV (ZnO) and 2.82 eV (TiO2), enabling…
ng visible light activity. XRD and SEM verified Ni incorporation and a significant reduction in crystal size (to 21 nm). To mitigate rapid particle sedimentation (25 min), sodium silicate was applied as a dispersant, successfully extending suspension stability to 4 hours. Notably, this chemical stabilization maintained a lower reactor temperature (49°C) compared to mechanical stirring (52°C), preventing efficiency loss due to thermal effects. Ni0.05Zn0.95O exhibited the highest photocatalytic activity, attributed to its superior Ni atomic composition. This research demonstrates that combining Ni-doping with chemical dispersion effectively optimizes both the electronic and physical properties of photocatalysts for enhanced hydrogen harvesting.
Abstract:The beauty service industry has experienced rapid growth in recent years, particularly in specialized services such as nail art. In a highly competitive market, service quality and consumer satisfaction are considered critical…
itical factors influencing purchase decisions. This study aims to analyze the influence of service quality and consumer satisfaction on consumer purchase decisions at Glosse Nail Studio.
This research employs a quantitative approach using a survey method. Data were collected from customers of Glosse Nail Studio through structured questionnaires. Service quality is measured using dimensions adapted from SERVQUAL, including tangibles, reliability, responsiveness, assurance, and empathy. Consumer satisfaction is measured based on customers’ overall evaluation of service performance, while purchase decision is assessed through indicators reflecting consumer intention and actual buying behavior. Data analysis was conducted using multiple linear regression with the assistance of SPSS software, including validity and reliability tests, classical assumption tests, t-tests, F-tests, and coefficient of determination (R²).
The results indicate that service quality has a positive and significant effect on consumer purchase decisions. Furthermore, consumer satisfaction also significantly influences purchase decisions. Simultaneously, service quality and consumer satisfaction significantly affect purchase decisions, indicating that higher perceived service performance leads to greater customer satisfaction and ultimately strengthens purchasing decisions.
Abstract:The rapid development of digital marketing has significantly transformed business strategies, particularly for Micro, Small, and Medium Enterprises (MSMEs). Instagram has evolved beyond a social networking platform into…
a strategic marketing tool equipped with analytical features such as Instagram Insight. This study aims to examine the effect of Instagram Insight utilization on consumer purchase decisions at Rumah Madu, an MSME operating in Bandar Lampung, Indonesia.
This research adopts a quantitative approach using a survey method. Data were collected from 92 respondents through structured questionnaires and analyzed using SPSS version 27. The independent variable is the utilization of Instagram Insight, measured through three dimensions: follower demographic analysis, follower active time analysis, and content performance analysis. The dependent variable is consumer purchase decision. Statistical analysis includes validity and reliability testing, classical assumption tests (normality, multicollinearity, and heteroscedasticity), simple linear regression, t-test, F-test, and coefficient of determination (R²).
The results suggest that Instagram Insight functions primarily as an internal strategic evaluation tool rather than a direct determinant of consumer purchasing behavior. This study contributes to the digital marketing literature by highlighting the gap between analytic tool utilization and actual consumer conversion in MSMEs. Practical implications emphasize the need for better data interpretation skills and integrated marketing strategies beyond analytics usage alone.
Abstract:Inequality is a condition of inequity that results in a wide poverty gap in a country. In the future, challenges will arise due to inequality in wealth and prosperity, including in Indonesia. The Islamic economy is a system…
tem built on the principles of Islamic law and emphasises that the state is responsible for meeting the needs and welfare of its people. This paper uses qualitative methods and a retrospective approach to reveal how food issues are addressed in the construction of the Islamic economic system in Indonesia. Sharia-based food security is imbued with the main characteristics of Islamic economics, namely good and halal muamalah (transactions). Therefore, to achieve this, it is important to develop an Indonesian Islamic economic master plan based on the main indicator of economic independence in food self-sufficiency as an effort to realise national food security. Indonesia's Islamic economy is growing rapidly, and ideally, the construction of economic independence in the context of realising sharia-based food security should be a priority in the development of Indonesia's Islamic economic master plan based on the main indicator of economic independence in food self-sufficiency as an effort to realise national food security.