Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Dynamics of Millennial Consumer Behavior in Online Shopping Decision-Making on the Shopee Marketplace with Scarcity Perception as a Moderating Variable Irience R. A. Manongga; Yanti S. Giri
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 01, No 01, December 2025
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v1i01.3

Abstract

In recent years, online shopping activity among millennials has shown a very significant increase. The development of digital technology, the intensification of promotional strategies, and lifestyle trends demanding convenience and speed have also contributed to the dominance of this group as active users of various e-commerce platforms, including Shopee. This condition underscores the importance of an in-depth study of the determinants influencing purchasing decisions within this consumer segment. This study aims to analyze the influence of the millennial generation lifestyle on purchasing decisions, with scarcity perception acting as a moderating variable. A total of 96 respondents were involved in this study using the Lemeshow technique and purposive sampling. Data analysis was performed using simple regression and multiple regression analysis (MRA). The research findings indicate that lifestyle has a positive and significant influence on Shopee users' purchase decisions in Kupang City (b = 0.759; p = 0.000; R = 0.724). On the other hand, the moderation test of scarcity perception yielded a negative and non-significant effect (b = -0.001; p = 0.087). However, an R² value of 0.733 indicates that the presence of the moderating variable still contributes to strengthening the relationship between lifestyle and purchase decisions.
Artificial Intelligence and the Ethical Boundaries of Managerial Judgment: Insights from a Systematic Literature Review Irience R. A. Manongga; Andrias U. T. Anabuni
Journal of Management and Business Innovation Journal of Management and Business Innovation (JOMBINOV): Volume 02, No 01, March 2026
Publisher : CV. Vocezmi Learnov

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65792/jombinov.v2i01.33

Abstract

This research aims to systematically analyze the utilization of Artificial Intelligence (AI) in various Human Resource Management (HRM) functions, evaluate the theoretical foundations used in previous studies, summarize key empirical findings, and identify research gaps and emerging ethical-managerial implications. The research uses a Systematic Literature Review (SLR) design with a PRISMA approach. Data was collected from the Scopus, Web of Science, and Google Scholar databases for reputable journal articles published between 2015 and 2025. The selection process was conducted through the stages of identification, screening, and eligibility based on strict inclusion and exclusion criteria, resulting in 52 articles that were analyzed using thematic analysis and conceptual synthesis. Theoretically, this research enriches the technology-based HRM literature by presenting a typology of AI utilization in HRM functions and revealing the limitations of the theoretical framework, which is still partial and fragmented in previous studies. The research findings have strategic implications for practitioners and policymakers in ethically, responsibly, and sustainably integrating AI into HRM practices, particularly in the context of recruitment and selection, performance analytics, talent management, and data-driven HR decision-making. The limitations of this study lie in its reliance on secondary data sources and the dominance of studies focused on developed country contexts. This situation opens opportunities for further research that is empirical, longitudinal, and contextual, particularly in developing countries.