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All Journal Ultima Management : Jurnal Ilmu Manajemen Studi Ilmu Manajemen dan Organisasi Multidiscience: Journal of Multidisciplinary Science
Hasan, Djohan Gunawan
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Computer Science & IT Economics, Econometrics & Finance Engineering Medicine & Pharmacology Social Sciences

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IMPACT OF COVID-19 PANDEMIC ON ADOPTION OF OMNI-CHANNEL IN MILLENNIAL CONSUMERS THROUGH OMNI-INTERACTION Hasan, Djohan Gunawan
Ultima Management : Jurnal Ilmu Manajemen Vol 15 No 1 (2023): Ultima Management : Jurnal Ilmu Manajemen
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/manajemen.v15i1.3209

Abstract

Abstract- The covid-19 pandemic with the lockdown and social distancing mandates have disrupted the consumer purchase behaviour. This disruption had the impact in adoption of omni-channel during the pandemic, specific in millennial consumers. As a young generation, and large population, their purchasing power is making them an interactive target for consumer industries. Millennials as consumers of technology on omni-channel will be the focus of this research.This research was tested with a data collected from September 2019 as pre-pandemic period and on December 2020 as within-pandemic period. The output reveals that Omni-interaction and Millennial purchase behaviour are not strengthen the Omni-experience and Adoption omni-channel within-pandemic period compare to pre-period. The key is the lockdown and social distancing mandates accelerated the digital transformation impacted direct to process of adoption of omni-channel. The quality and credibility of information influenced the millennial to make purchasing decisions. This research will contribute to the literature by providing a factors of adoption omni-channel to understands consumers and their experiences to purchase. Limitation of this research is draws conclusions based on data that were collected at pre and during pandemic period. To overcome this limitation, future research should consider the post pandemic period dataset especially when available. Keywords: Covid-19; Omni-channel; Millennial; Adoption; Experience
Driving Business Performance through Lean and Cloud-Based Supply Chain Integration: Evidence from the Oil and Gas Sector Sultan, Muhammad Habifian; Hasan, Djohan Gunawan; Annas, Mohammad
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.407

Abstract

This study examines the synergistic impact of Lean Supply Chain Management (LSCM) and Cloud-Based Supply Chain (CSSC) integration on business performance within Indonesia’s oil and gas sector. Amidst global supply chain disruptions and Indonesia’s transition toward sustainable energy, optimizing supply chain efficiency has become a strategic imperative. While prior research highlights the benefits of LSCM in developed markets, its interaction with digital technologies in emerging economies remains underexplored. Adopting a positivist approach, this study employs a quantitative methodology, collecting data from 217 professionals in Indonesia’s oil and gas industry through structured questionnaires. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the research evaluates the direct and mediated effects of Just-In-Time (JIT) and Total Quality Management (TQM) practices on business performance, with CSSC as a mediator. Results confirm that both JIT and TQM significantly enhance business performance, with CSSC playing a pivotal mediating role by improving supply chain visibility, agility, and operational efficiency. The findings underscore the importance of integrating lean practices with cloud-based digital solutions to drive resilience and competitive advantage in volatile markets. This study contributes actionable insights for practitioners seeking to align operational excellence with digital transformation, offering a model for sustainable supply chain management in resource-intensive industries.
Penerapan CAC untuk Menganalisis Pengaruh Purchase Intention Pengguna Kosmetik pada Fitur AR Panjaitan, Elisabeth Dian Ladestia; Hasan, Djohan Gunawan; Sudiyono, Krist Ade
Studi Ilmu Manajemen dan Organisasi Vol. 6 No. 2 (2025): Juli
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v6i2.4517

Abstract

Purpose: This study aims to analyze the factors influencing cosmetic purchase intention. The context is the use of augmented reality (AR) features in Indonesian e-commerce platforms. Methodology/approach: The research uses a quantitative approach. The analysis method is SEM-PLS (Structural Equation Modeling - Partial Least Squares). The sample consists of 176 women who have used AR features on Shopee, Tokopedia, Lazada, and Blibli. Key variables include vividness, shopping benefits, behavioral control, satisfaction, and purchase intention. Results/findings: Vividness positively affects both behavioral control and satisfaction. Shopping benefits significantly influence satisfaction. Behavioral control and satisfaction positively impact purchase intention. More realistic and interactive AR features improve user satisfaction and boost buying intention. Conclusion: This study concludes that augmented reality (AR) features in e-commerce significantly influence the purchase intention of cosmetic users in Indonesia. Factors such as vividness, shopping benefits, and behavioral control positively affect satisfaction, which in turn enhances purchase intention. The research fills a gap by linking vividness and shopping benefits with user satisfaction, which leads to actual purchase intentions in AR-based platforms. Limitations: This study only involves users of specific e-commerce platforms, so the results may not be fully representative of all augmented reality features across e-commerce platforms in Indonesia. Contribution: Offers strategic insights for brand owners and marketers to enhance AR-based features. Guides IT and tech developers to build more effective AR experiences. Supports digital marketing practices in the beauty and cosmetics sector.
Co-Authors Annas, Mohammad Panjaitan, Elisabeth Dian Ladestia Sudiyono, Krist Ade Sultan, Muhammad Habifian