Perdananti, Primanola
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Extended UTAUT2-Based Analysis of User Acceptance of EIGER’s Mobile Shopping App Perdananti, Primanola; Noviaristanti, Siska
Journal Research of Social Science, Economics, and Management Vol. 4 No. 7 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i7.782

Abstract

This study investigates user acceptance of the EIGER Adventure mobile application, designed to enhance online shopping convenience for outdoor gear enthusiasts in Indonesia. The research employs an extended UTAUT2 model, incorporating Perceived Risk and Trust variables, to analyze factors influencing consumer behavior. A purposive sampling method was used to collect data from 478 respondents who are active users of the EIGER application. The research adopts a quantitative approach, with data analyzed using Structural Equation Modeling (SEM) through SmartPLS 4. The results indicate that Social Influence and Trust significantly affect Behavioral Intention to use the app, while Habit influences both Behavioral Intention and Use Behavior. Furthermore, Behavioral Intention was found to have a positive impact on Use Behavior, suggesting that users’ intention to use the app strongly predicts actual usage behavior. These findings offer valuable insights into the factors driving user acceptance and app adoption, emphasizing the importance of Trust and Social Influence in shaping consumer behavior. The study also highlights the role of Habit in both the intention to use and actual usage of mobile shopping apps. Based on these findings, the study provides recommendations for strategies to improve user engagement and optimize the development of mobile shopping apps, particularly in the outdoor gear industry, to better meet consumer expectations and enhance the overall shopping experience
Enhancing Corporate Governance with Blockchain and Smart Contracts: A Systematic Review of Agency Conflict Mitigation Prasetia, Arus Reka; Perdananti, Primanola; Waspada, Ikaputera; Sari, Maya
Moneta : Journal of Economics and Finance Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/moneta.v4i1.1249

Abstract

Agency conflicts remain a persistent challenge in corporate governance because information asymmetry and misaligned incentives can weaken monitoring and accountability. This systematic literature review synthesizes international empirical evidence on how blockchain and smart contracts relate to agency conflict mitigation and governance outcomes, and it clarifies boundary conditions and implications for Agency Theory. We followed PRISMA reporting guidance and searched Scopus for English journal articles published between 2018 and 2025. After title, abstract, and full-text screening, 13 empirical studies were included for quality appraisal and thematic narrative synthesis. Across contexts, blockchain adoption or innovation intensity is most consistently associated with improved information environments, including higher transparency and reporting quality and lower opportunism related proxies, and it is also associated with improved investment efficiency and selected compliance and risk outcomes. Evidence on smart contracts is substantially thinner. Smart contracts are explicitly analysed in one case study and they are discussed secondarily in one additional study, while none of the large sample quantitative studies operationalises smart contract use as a distinct construct. The synthesis indicates that governance benefits depend on data integrity supported by internal controls, external monitoring and assurance capacity, and regulatory and legal alignment that enables auditability and enforceability. Overall, blockchain-enabled corporate governance is best interpreted as governance by system design that complements conventional mechanisms and motivates future research on measurable smart contract use cases and stronger causal identification.