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International Journal of Management Science and Application
Published by Sultan Publisher
ISSN : -     EISSN : 29632056     DOI : https://doi.org/10.58291/ijmsa
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
International Journal of Management Science and Application is a peer-reviewed international journal dedicated to publishing high-quality empirical and theoretical research that advances the field of management and its practical applications. The journal encourages studies that develop, test, refine, or extend management theories while providing practical implications for business organizations, public institutions, and society. International Journal of Management Science and Application welcomes original research articles and review papers in various fields of management and business, including strategic management, human resource management, entrepreneurship, marketing, finance, accounting, operations management, innovation management, supply chain management, project management, knowledge management, management information systems, decision support systems, business intelligence, business analytics, digital transformation, digital business, e-business, organizational behavior, leadership, public management, sustainability management, and other interdisciplinary studies related to management science and its applications. International Journal of Management Science and Application is published twice a year, in March and September, by Sultan Publisher.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 69 Documents
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The AI Co-pilot: Navigating Market Turbulence and Charting a Course for Sustainable Advantage Simon Suwanzy Dzreke
International Journal of Management Science and Application Vol. 4 No. 2 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i2.442

Abstract

This study addresses the gap in frameworks for effective human-AI collaboration in strategic decision-making during turbulent market conditions. Using a mixed-methods approach (longitudinal case studies in manufacturing, finance, and logistics; large-scale executive surveys; computational simulations), we empirically evaluate the "AI co-pilot" model, where AI augments human strategic cognition. Results show AI co-pilots improve market disruption prediction accuracy by 30-50% and reduce strategic response latency. However, these benefits critically depend on governance frameworks ensuring algorithmic accountability, dynamic trust calibration, and human agency preservation. Case studies (e.g., AI-enabled semiconductor shortage detection enabling proactive diversification) demonstrate value, while instances of algorithmic opacity highlight the necessity of human oversight. Maintaining competitive advantage requires interfaces ("algorithmic diplomacy"), balancing AI's computational power with human judgment, wisdom, and ethics. Organizations achieving this symbiosis gain superior resilience, transforming volatility into adaptive innovation opportunities.
The Enterprise Lingua Franca: A Foundational Framework for Semantic Interoperability and Cross-Functional Cognition Simon Suwanzy Dzreke; Semefa Elikplim Dzreke
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.467

Abstract

Digital transformation often fails at the conceptual level: Seventy-three percent of cross-functional initiatives fail because the functional mental models don't match up, making it impossible to solve difficult problems like making sustainability profitable. This research identifies a significant deficiency in enterprise interoperability, wherein disparate departmental epistemologies manifested in conflicting interpretations of fundamental constructs such as "customer" or "value" among Marketing, Finance, and Operations—result in strategic incoherence despite technological integration. Technological solutions are inadequate in addressing these profound philosophical gaps. This paper introduces the Enterprise Lingua Franca, a new cognitive framework created through design science research that combines case studies, ontology engineering, and cognitive task analysis to make organizational intelligence more cohesive. It creates the first theory of Cross-Functional Cognition and gives tangible steps for semantic alignment that turn conceptual fragmentation into strategic coherence, which opens up new ways to solve problems.
The Cognitive Chrysalis: Engineering Metamorphic Resilience in Tourism Through Post-Outbreak Intelligence and Adaptive Design Simon Suwanzy Dzreke; Semefa Elikplim Dzreke
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.468

Abstract

This work fills a major theoretical gap in tourist resilience: the systemic imbalance between cognitive processes and physical infrastructure, which increases susceptibility during hydrometeorological crises. Existing frameworks fail to explain why locations with similar hazard exposure display substantial outcome disparities, as seen by Venice's lengthy flood disruption against Singapore's predictive mitigation success. The study makes two major theoretical contributions: the Resilience Engineering Framework (REF), which combines cognitive load theory, behavioral intelligence, and AI-mediated feedback loops to model systemic brittleness; and the Adaptive Design Protocol (ADP), which applies REF principles to spatial, governance, and infrastructural interventions. The study takes a sequential mixed-methods approach, with (1) big data analytics across 20 destinations quantifying cognitive stressors (e.g., decision fatigue amplifying evacuation errors by 22%), (2) stakeholder surveys identifying governance misalignments, and (3) agent-based modeling validating REF dynamics. Empirical results show that ADP implementation reduces rebound time by 41% and infrastructure damage costs by 37% through metamorphic adaptation, as demonstrated by Bali's AI-driven crowd-flow systems, which speed up recovery by 58% through cognitive load optimization. The findings demonstrate that shifting fragility into anticipatory capacity necessitates cognitively grounded design, providing a reproducible approach for regenerative tourist ecosystems.
The Relational Algorithm: Axiomatizing the Divergent Social Calculus of Trust in Collectivist and Individualist Market Ontologies Simon Suwanzy Dzreke; Semefa Elikplim Dzreke
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.500

Abstract

Global brands incur annual losses of around $23 billion due to culturally incompatible trust practices, as demonstrated by Uber's contractual misalignment in China's guanxi-centric markets. This ongoing insufficiency highlights a significant theoretical void: cross-cultural marketing lacks a foundational framework that elucidates ontological differences in the formation of trust. This study employs ethnographic fieldwork (n = 42 industry experts), agent-based computer modelling, and discrete-choice experiments (DCEs; n = 1,200 participants across 4 markets) to address the issue. Findings indicate that trust functions through incommensurable cultural relational algorithms individualistic contractarian principles vs collectivist contextualist principles. Violating these ontological principles diminishes purchase intent by 38–61% (hierarchical Bayesian estimation, 95% HDI), highlighting the behavioral repercussions of infringing ontological expectations. This paper proposes a new axiomatic framework for market ontology that facilitates the algorithmic adaptation of trust methods across cultural barriers. The framework provides a theoretically informed method for mitigating relational friction in international trade, with clear implications for market entry strategy, partnership formation, and platform management.
The Algorithmic Canvas: On the Autopoietic Redefinition of STP in the Age of Strategic Resilience Simon Suwanzy Dzreke; Semefa Elikplim Dzreke
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.501

Abstract

Traditional Segmentation, Targeting, and Positioning (STP) frameworks demonstrate significant deficiencies in unstable markets, with actual data revealing a 67% decline after six months. This research redefines STP not as a structured process but as an autopoietic system—an entity that self-organizes and constantly redefines its limits. It presents the Algorithmic Canvas as the operational medium that facilitates this paradigm, in which segmentation, targeting, and positioning parameters dynamically evolve through human-AI collaboration. Using a sequential mixed-methods design that included a 6-month Fortune 500 lab ethnography (n=23), a computational analysis of 150 million customer interactions, and an empirically based agent-based simulation (ABS), the study shows that autopoietic STP implemented through the Canvas is 44% more resilient (p < 0.01) to market shocks and cuts strategic planning cycles by 90% compared to traditional models. Algorithmic co-creation methods enhanced the identification of substantial market fluctuations by a factor of 5.8. The study enhances the Autopoietic STP Framework and empirically substantiates Canvas Design Principles, effectively addressing algorithmic myopia and offering businesses a framework for improved adaptability and resource efficiency during turbulent conditions.
The Role of Financial Behaviour in Improving Financial Literacy: A Study of Indonesian Students Abroad Ardiansyah Rasyid; Antonia Devina Natasha; Ruth Serafina Dharmawan; Richardo Tan; Stevhen Tjiontara
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.542

Abstract

Financial literacy is a crucial competence in navigating the increasing complexity of the modern global economy, particularly for students studying abroad who must manage their finances independently. This study aims to analyze the influence of financial knowledge, financial attitude, and financial behavior on the financial literacy of Indonesian students studying overseas. A quantitative approach was employed using a survey method involving 50 respondents selected through purposive sampling. Data were collected using a structured questionnaire based on a five-point Likert scale and analyzed using SEM-PLS. The results indicate that financial behavior has a positive and significant effect on financial literacy, whereas financial knowledge and financial attitude do not show significant effects. The coefficient of determination (R² = 0.818) suggests that the model has strong explanatory power. These findings highlight the importance of practical financial behavior over theoretical knowledge and attitudes in improving financial literacy. This study contributes to the literature by emphasizing the existence of a knowledge–behavior gap and underlining the need for practice-oriented financial education to enhance sustainable financial literacy among students.
Virtual Influencers and Consumer Engagement in Indonesia: Extending the Technology Acceptance Model Agung Wijoyo; Rodhiah Rodhiah; Muhardi Muhardi; Tasya Aspiranti
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.545

Abstract

This research investigates the Indonesian consumers’ adoption of Virtual Influencers (VIs) by extending the technology acceptance model (TAM) through the integration of relational constructs. This study examined the effect of perceived usefulness (PU) and perceived ease of use (PEOU) on attitude, the effect of attitude on behavioural intention (BI) and the mediating role of trust in consumer engagement. Data were collected through an online survey from 500 Indonesian social media users aged 18–35 years old who actively follow VIs on Instagram or TikTok. The analysis used structural equation modeling (SEM) using SmartPLS and AMOS. Reliability and validity were measured by using Cronbach's alpha, composite reliability, AVE, and discriminant validity, while the mediation analysis was tested by bootstrapping with 5,000 resamples. The results show that PU and PEOU significantly affect attitudes, which in turn affect behavioral intention. Behavioral intention is also a significant factor in the development of trust, and trust is found to be the strongest predictor of engagement. In addition, cultural aspects such as collectivism and religiosity are discussed as contextual factors. The model has good explanatory power with R2 of 0.42-0.56. The results show that trust is a significant element in the intention-to-engagement process in the context of VIs. Practically, brands can prioritize transparency and cultural relevance when developing virtual influencers to increase engagement among Indonesian Millennials and Gen Z. This study contributes to the limited empirical literature on VIs in Southeast Asia by extending TAM with trust and engagement.
Brand Engagement as A Key Factor In The Success of MEME Marketing In Generation Z Rodhiah Rodhiah; Derizka Inva Jaswita; Muhardi Muhardi; Dede R Oktini; Tasya Aspiranti
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.570

Abstract

The development of digital technology and social media has driven significant changes in marketing strategies, especially in reaching Generation Z who have unique characteristics in consuming content. One of the fastest-growing strategies is meme marketing, which relies on humor, creativity, and cultural relevance. This study aims to analyze the role of brand involvement as a key factor in meme marketing success, as well as test the influence of customer attitudes and media distribution as supporting variables. The study used a quantitative approach with a survey method of 100 Generation Z respondents in Jakarta. The sampling technique used purposive sampling, with the criteria of active respondents using social media. Data were collected through a Likert scale-based questionnaire and analyzed using a multivariate statistical approach. The results showed that brand engagement had a positive and significant effect on the effectiveness of meme marketing, while customer attitudes and media distribution had no significant effect. These findings confirm that the success of meme marketing is determined more by emotional interaction and active consumer involvement than rational factors or distribution channels. This research contributes to the development of digital marketing literature as well as practical implications for companies in designing communication strategies that are more relevant to Generation Z.
The Plastic Bottle as a Market Device: A PRISMA Systematic Review of Sustainable Packaging, Environmental Awareness, and Consumer Purchase Intention Nunung Nurnilasari; Annita Jannah; Darwanto Darwanto; Yuliana Saryip Wijayanti
International Journal of Management Science and Application Vol. 5 No. 1 (2026): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v5i1.616

Abstract

The single-use plastic water bottle represents a highly optimized market device that has successfully commodified a vital public resource. However, its immense convenience generates severe environmental externalities, leading to a corporate shift towards sustainable packaging alternatives. Although empirical studies on eco-friendly packaging are rapidly expanding, a comprehensive synthesis of how these material changes structurally activate consumer psychology is lacking. This systematic literature review employs the PRISMA guideline to evaluate and synthesize current academic evidence regarding the repercussion of sustainable packaging on consumers willingness to buy, specifically examining the mediating role of environmental awareness. A systematic search of major digital databases (including Scopus and Web of Science) was performed for peer-reviewed studies published between 2016 and 2026. Applying strict inclusion and exclusion criteria, a final pool of relevant empirical articles was selected and qualitatively synthesized. The synthesis reveals that while sustainable packaging changes (such as rPET and bioplastics) act as critical structural visual cues, their direct effect on purchase intention is highly volatile and bounded by price premiums. Importantly, the literature consistently identifies environmental awareness as a key psychological mediator; sustainable packaging attributes are most effective when they successfully trigger a consumer’s internal eco-consciousness and situational guilt. This research straddles the disciplines of economic sociology and green marketing, as it re-theorizes the sustainable bottle, not simply as a container, but as a pedagogical market device. The results offer managerial implications to beverage manufacturers for optimizing eco-branding strategies and policy-makers evidence to support extended producer responsibility frameworks.

Page 7 of 7 | Total Record : 69

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