Strategic Insights Research Articles

Consumer decision-making processes in digital environments—A psychological perspective

This conceptual paper examines the influence of psychological principles on consumer decision-making within digital shopping environments, integrating psychological theories with empirical observations to understand how cognitive, emotional, and social factors shape consumer behaviors online. By reviewing existing literature and applying a constructivist epistemology and relativist ontology, the study develops a conceptual framework highlighting the impact of digital interface design, information availability, and personalized marketing on consumer choices. The paper analyzes various examples and identifies vital psychological triggers and decision-making barriers, offering strategic insights for enhancing digital marketing practices. This research contributes to academic and practical understandings of digital consumer behavior, proposing that a more profound integration of psychological insights can lead to more effective and ethically grounded marketing strategies in the digital era.

EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally

Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies. Highlights: 1. Cost Efficiency: EOQ method reduces total inventory costs effectively.2. Operational Precision: Minimizing safety stock enhances operational efficiency.3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges. Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs

Blackpink's Celebrity Endorsement Shapes Global Oreo Purchase Intentions

This research investigates how Celebrity Endorsement and Brand Image influence Purchase Intention for Oreo Blackpink products, with Brand Attitude as a mediator, aiming to fill a gap in understanding consumer behavior in the context of South Korean music group endorsements. Using quantitative techniques and data from 177 respondents who had seen advertisements and purchased Oreo Blackpink products, the study found that Celebrity Endorsement and Brand Image positively and significantly influence Brand Attitude. However, Brand Image did not significantly affect Purchase Intention, while Celebrity Endorsement and Brand Attitude had a positive and significant impact on Purchase Intention. The findings emphasize the importance of celebrity endorsement selection and Brand Attitude in shaping consumer perceptions and purchase intentions, providing insights for marketing strategies in competitive markets targeting emerging demographics. Highlight: Celeb Influence: Key in shaping perception and purchase for Oreo Blackpink. Attitude's Role: Crucial mediator between endorsement, image, and purchase intention. Strategic Insight: Selective endorsement and positive attitude enhance consumer engagement. Keyword: Celebrity Endorsement, Brand Image, Purchase Intention, Brand Attitude, Oreo Blackpink

Strategic insights into carbon markets, digital finance and geopolitical risks for advancing green sustainability investments

Strategic insights into carbon markets, digital finance and geopolitical risks for advancing green sustainability investments

Driving digital transformation in construction: Strategic insights into building information modelling adoption in developing countries

The construction industry in developing countries faces significant challenges, including limited resources, infrastructure constraints, and varying levels of technological readiness, which hinder the adoption of Building Information Modelling. Despite the recognized benefits in enhancing project efficiency, reducing costs, and improving collaboration, there is a lack of comprehensive understanding and tailored strategies for Building Information Modelling implementation in these contexts. This study aims to address these gaps by systematically reviewing Building Information Modelling adoption literature from 2013 to 2023 and developing a model specifically designed to guide its integration in developing nations. It categorizes nations by demographic and economic parameters and employs thematic analysis to explore benefits, challenges, and strategies. The study develops a tailored Building Information Modelling adoption model, by highlighting the dynamic interplay between adoption, contextual and strategic factors, technological advancement and socio-economic development and synthesizing key insights from academic literature and empirical findings. It offers strategic recommendations for nations at different Building Information Modelling integration stages, addressing their unique socio-economic and environmental contexts. The study identifies trends in utilization and highlights significant gaps, particularly in empirical, educational and strategic initiatives on digital construction transformation.

Market Concentration, Price Dynamics, and Profitability in Indonesian Banking: An Empirical Investigation

This research delves into Indonesia’s banking sector’s competitive landscape, examining bank mergers’ effects on performance through the Structure Conduct and Performance (SCP) hypothesis. By reshaping market structure, bank mergers influence subsequent bank behavior and performance. The findings highlight a discernible pattern: an uptick in market concentration accompanies a decline in prices within the banking sector. This implies that mergers often yield economies of scale, enabling banks to offer more competitive rates. However, this reduction in prices directly impacts bank profitability. Moreover, the concentration ratio, a pivotal metric in market analysis, emerges as a significant gauge of industry competition. Serving as a structural measure of competition, the concentration ratio depicts the market share held by leading banks. Intriguingly, diminished competition, as indicated by higher concentration ratios, correlates with decreased profitability for banks operating within this framework. This exploration of Indonesia’s banking sector reveals a nuanced interplay between market structure, bank conduct, and overall performance. Through the SCP hypothesis, the study elucidates how seemingly routine bank mergers can trigger a cascade of effects, influencing market dynamics, profitability, and competitive positioning. Based on thorough analysis, the study furnishes strategic insights for policymakers, industry stakeholders, and the banking community, offering a comprehensive understanding of the ramifications of market shifts and guiding strategies to navigate Indonesia’s banking landscape adeptly.

Navigating the Nexus of Urbanization, Technology, and Global Economics in Real Estate Market Dynamics

This article provides a comprehensive analysis of the key factors shaping real estate markets, focusing on urbanization trends, technological advancements, and global economic shifts. Urban migration is fueling demand in metropolitan areas, leading to significant infrastructural developments and a reevaluation of property values. Concurrently, technological innovations like artificial intelligence, virtual reality, and blockchain are transforming real estate transactions and management, enhancing market efficiency and transparency. Additionally, the paper examines the impact of global economic conditions, including trade wars and policy changes, on real estate investment and market stability. By integrating these elements, the article forecasts potential market trends and offers strategic insights for navigating the complexities of the real estate sector. This synthesis not only highlights current influences but also projects future changes in the landscape of real estate, suggesting adaptive strategies for industry stakeholders.

Navigating the Nexus of Urbanization, Technology, and Global Economics in Real Estate Market Dynamics

This article provides a comprehensive analysis of the key factors shaping real estate markets, focusing on urbanization trends, technological advancements, and global economic shifts. Urban migration is fueling demand in metropolitan areas, leading to significant infrastructural developments and a reevaluation of property values. Concurrently, technological innovations like artificial intelligence, virtual reality, and blockchain are transforming real estate transactions and management, enhancing market efficiency and transparency. Additionally, the paper examines the impact of global economic conditions, including trade wars and policy changes, on real estate investment and market stability. By integrating these elements, the article forecasts potential market trends and offers strategic insights for navigating the complexities of the real estate sector. This synthesis not only highlights current influences but also projects future changes in the landscape of real estate, suggesting adaptive strategies for industry stakeholders.

Integrating risk zoning and multifactor analysis: A strategic approach to ecological carbon sink management

Ecological carbon sinks play a crucial role in global carbon cycling and climate mitigation, making their effective management essential. This study develops a novel risk zoning and multifactor analysis framework for ecological carbon sink management in Yunnan Province, China, a region recognized for its ecological diversity and carbon sequestration potential. Our results reveal that high-priority ecological carbon sink zones, mainly in the southwest and western regions, cover 20% of the total area and contain over 60% of the province's carbon stocks. In contrast, high-risk zones, primarily in urbanized regions, show a reduction in carbon sequestration, with emissions exceeding 25.7 million kg due to urban development and landscape degradation. The analysis delineated five distinct risk zones; urgent intervention zones, risk control zones, priority restoration zones, long-term conservation zones, and integrated management zones. Notably, urgent intervention and priority restoration zones, while representing just 9.6% of the area, are critical for protecting over 40% of the carbon sequestration potential. The comprehensive risk zoning framework, combining principal component and canonical correspondence analysis (PCA-CCA), effectively integrates landscape indicators, socio-economic factors, and natural elements. Our innovative, data-driven approach offers strategic insights into managing carbon sinks while balancing ecological integrity and socioeconomic needs, providing a replicable model for ecosystem management.

Understanding Behavioral Intention to Use of Air Quality Monitoring Solutions with Emphasis on Technology Readiness

This study aims to investigate the determinants of Behavioral Intention to Use (BIU) within the scope of Air Quality Monitoring Solution (AQMS), with a focus on Technology Readiness (TR). It explores nine crucial variables: Effort Expectancy (EE), Performance Expectancy (PE), Social Influence (SI), Facilitating Condition (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HB), and TR using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Data collection involved 371 participants via surveys and questionnaires, with demographic variables such as Gender (G), Age (A), and Location (L) serving as moderating factors. Analysis conducted with smart-pls 4.0 software revealed a notable correlation between TR and BIU, identifying HM as the most pivotal factor. The study’s theoretical and practical contributions offer a nuanced understanding of the integration between TR features and the UTAUT2 model, highlighting HM’s critical role in influencing AQMS user behaviors. Furthermore, it delivers strategic insights for developers and policymakers aimed at improving air quality monitoring systems. The research enhances the comprehension of technology adoption dynamics in environmental surveillance, setting the groundwork for refining AQMS’s deployment and efficacy. It aligns technological innovations with user inclinations, underscoring the combined effects of TR and HM on AQMS-related user actions. Ultimately, the findings illuminate TR’s significance and interplay within the UTAUT2 framework, providing actionable recommendations for crafting more effective air quality monitoring solutions.

Strategic insights from multi-armed bandits: Applications in real-time strategy games

In real-time strategy games, players often face uncertainty regarding which strategy will lead to victory. This paper delves into how multi-armed bandit (MAB) algorithms can assist in this context, beginning with an exploration of MAB's theoretical principles, particularly the crucial balance between exploration and exploitation. The study compares the efficacy of the Explore-Then-Commit (ETC), Upper Confidence Bound (UCB), and Thompson Sampling (TS) algorithms through practical experimentation. Beyond gaming, the paper also considers the broader implications of MAB algorithms in healthcare, finance, and dynamic pricing within online retail sectors. A focal point of the research is the application of UCB and TS algorithms in StarCraft, a popular real-time strategy game. The performance of these algorithms is rigorously evaluated by calculating the cumulative regret value, a key metric in assessing strategic effectiveness. The findings suggest that the implementation of UCB and TS algorithms significantly enhances players' winning rates in the game. While the results are promising, the paper acknowledges ongoing challenges and encourages further exploration into this fascinating and valuable area of study. This research not only contributes to the understanding of strategic decision-making in gaming but also signals potential cross-sectoral applications of MAB algorithms.

Optimizing mustard cultivation in Hardoi district: Policy implications and strategic insights

Optimizing mustard cultivation in Hardoi district: Policy implications and strategic insights

Low-carbon development of urban power grids in China: Quality assessment, obstacle analysis, and potential release

Urban power grid planning plays a pivotal role in the process of reducing carbon dioxide emissions from power grids. Traditional grey target models and analytic hierarchy processes fail to reflect the diversity of resource endowments in urban areas and cannot provide targeted solutions for carbon reduction strategies in urban power grids, representing a critical issue that urgently needs addressing. This paper introduces an enhanced grey target model based on the ‘source-grid-load’ system, establishes a quality evaluation index system for low-carbon development, and employs the Analytic Hierarchy Process - entropy weight method to account for the differentiated impacts of urban power grid partition resources. It conducts a comprehensive assessment of overall potential through multi-dimensional relative target centrality and identifies and examines key factors in low-carbon development potential using single-dimensional relative target centrality. The findings indicate that the refined grey target model, focusing on relative target centrality, effectively identifies areas with significant low-carbon development opportunities and assesses their developmental scope across various metrics, thereby providing strategic insights for carbon reduction planning in urban power grids under multi-objective decision-making conditions. This method will decrease CO2 emission by 21.38 % in 2030.

The Influence of Electronic Word of Mouth, User-generated Content, and Social Media Engagement on Impulsive Purchasing Behaviour: The Moderating Role of Hedonic Motivation

In the evolving digital marketplace of China, this study examines the influence of electronic word-of-mouth (eWOM), user-generated content (UGC), social media engagement, consumer trust, and impulsive purchasing behavior. Utilizing a comprehensive approach that integrates both qualitative and quantitative research methods, this study aims to unravel the complex dynamics between these factors in the context of China's unique digital and cultural landscape. The research findings demonstrate that eWOM and UGC significantly impact consumer trust, which in turn facilitates impulsive purchasing behaviors, particularly when mediated by high levels of social media engagement. This study contributes to a deeper understanding of the digital consumer behavior in China and offers strategic insights for marketers aiming to harness these dynamics in the rapidly growing e-commerce sector.

Global Perspectives on Management Consulting Competitiveness: Analyzing Knowledge Brokers’ Components

Bridging a significant gap in knowledge broker research, this study addresses the challenges and difficulties in demystifying the roles and components of Knowledge Brokers (KBs) within the management consulting context. Despite their recognized importance, the specific functions, and components of KBs in this specific sector context, known for its intensive use of knowledge, have been unexplored. This study aims to narrow the research gap by identifying key components of KB that enable the knowledge brokerage process in management consulting. Utilizing a mixed methods approach with Structural Equation Modeling (SEM) and data collection from various geographies from global perspectives, the research offers an in-depth understanding of KBs in management consulting. The research findings confirm Interpersonal Skills and Cognitive Ability, along with sub-components like Interactive Skill, Motivational Skill, Hybrid & Anomalous, Neutrality, Professional Competence and Experiential Knowledge, as critical to KBs. The findings offer original contributions to theoretical implications by narrowing the research gaps within this specific context. On the practical front, this study provides strategic insights for organizations to significantly enhance sustainable innovation by integrating external knowledge into organizational decision-making processes, which could be extendable to other industries. Furthermore, it suggests the potential to evolve traditional knowledge brokerage into technology-driven platforms and enhance the innovation ecosystem. Finally, the research findings offer the foundations for future studies on similar professional and knowledge-intensive settings, contextual influences of KBs, and the interrelationships among KB components. Doi: 10.28991/ESJ-2024-08-03-014 Full Text: PDF

효과적인 사이버보안 관리를 위한 통합 솔루션: Cisco 2024 사이버보안 준비 지수 분석을 통한 전략적 통찰 및 도전 과제 해결

효과적인 사이버보안 관리를 위한 통합 솔루션: Cisco 2024 사이버보안 준비 지수 분석을 통한 전략적 통찰 및 도전 과제 해결

A computational approach to cryptocurrency marketing on social media

This study aims to explore social media content associated with cryptocurrency marketing. We employ unsupervised Latent Dirichlet allocation topic modeling and sentiment analysis techniques to 98,716 tweets to examine Twitter (now known as X) content for subjects and sentiments related to cryptocurrency. Our findings reveal that cryptocurrency tweets fell into four categories, with ‘cryptocurrency trading,’ ‘NFT airdrop,’ ‘cryptocurrency affiliate program,’ and ‘Dogecoin on social media’ being the most popular. Furthermore, most of these topics exhibited positive sentiments. This study contributes theoretically by integrating cryptocurrency marketing into the diffusion of innovation paradigm. In addition, it offers strategic insights for digital marketers in identifying prevalent topics and sentiments related to cryptocurrency, enabling the tailoring of affiliate marketing communication strategies on social media.

Enhancing Employee Performance through Motivation, Discipline, and Environment in Indonesia

This study investigates how motivation, work discipline, and work environment impact employee performance at PT. Prima Karya Cemerlang. Using a quantitative approach with a sample of 100 production employees, data were collected through questionnaires and analyzed using multiple linear regression, t-test, F-test, and SPSS software. The results show that motivation, work discipline, and work environment each significantly affect employee performance and collectively have a simultaneous impact. These findings suggest that enhancing these factors can improve employee performance, offering strategic insights for HR management at PT. Prima Karya Cemerlang. Highlight: Impact of Motivation: Motivation significantly boosts employee performance. Role of Work Discipline: Work discipline enhances employee performance. Influence of Work Environment: Optimized work environment improves employee performance. Keyword: Employee performance, motivation, work discipline, work environment, quantitative analysis

The Application of Fuzzy Cognitive Mapping in Education: Trend and Potential

Fuzzy cognitive mapping (FCM) is a valuable tool for understanding complex issues due to its ability to express complex and uncertain knowledge domains with dynamic modelling capabilities. This study focuses on the application of FCM in education, using a bibliometric analysis and systematic review of publications in the Scopus database from 2000 to October 2023. Using keywords related to FCM and education, the study retrieved fifty-four publications for frequency analysis and citation metrics. This study showcases its results by leveraging standard bibliometric indicators, encompassing metrics such as publication growth, top-cited publications, country contributions, and preferred publication titles. Findings from the systematic review reveal the potential of FCM in providing explanatory, predictive, reflective, and strategic insights and solutions to numerous educational issues.

Strategic Insights into Educational Assessment: The Implementation and Constraints of SIMCPM in Monitor-ing Student Outcomes

Strategic Insights into Educational Assessment: The Implementation and Constraints of SIMCPM in Monitor-ing Student Outcomes