American Open Science Philosophy
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The Role of Artificial Intelligence and Blockchain Technology in Crisis Management, Startup Growth, and Sustainable Future
Get PDFThis study examines the impact of artificial intelligence (AI) and blockchain technology on crisis management, startup growth, and sustainability in the Indian business landscape. Using a quantitative, cross-sectional research design, data was collected from 123 research and development (R&D) employees across various enterprises. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze relationships between key constructs. The results indicate that AI plays a crucial role in enhancing crisis management and business resilience (β = 0.553, p = 0.000), while effective crisis management positively influences long-term sustainability (β = 0.272, p = 0.000). Additionally, blockchain technology is a key driver of startup growth (β = 0.684, p = 0.000), and growing startups significantly contribute to a sustainable future (β = 0.689, p = 0.000). The findings highlight the transformative potential of AI and blockchain in navigating business uncertainties, fostering innovation, and driving sustainable development. The study offers practical implications for business leaders, policymakers, and entrepreneurs in leveraging emerging technologies for long-term resilience and success
An Empirical Analysis of the Impact of Supply Chain Strategy and Organizational Structure on Operational and Financial Performance
Get PDFIndonesia has encountered significant economic challenges indicated by the mass closure of major factories in Indonesia, which are related to the current issue, such as global supply chains, logistics, declining sales, and due to the company\u27s reliance on outdated supply chain methodologies. This research will examine and investigate the relationship between supply chain strategy, organizational structure and operational performance on financial performance based on 153 respondents sample data that has been collected through questionnaires. The data was analyzed using PLS-SEM through SmartPLS 4.0 software. The findings of this study indicate the nonexistence of a direct effect on supply chain strategy and organizational structure towards the financial performance and the relationship between supply chain strategy and operational performance is also not supported. However, organizational structure is found to influence operational performance and has a direct effect on financial performance. It is also revealed that the operational performance has a significant positive mediating effect on the relationship between organizational structure and financial performance. The results shows that external factors like competition, the US-China trade war, the pandemic’s long-term impact and the parent company’s decision play a major role for the decline in Indonesia companies operational and financial performance
The Mediating Role of Innovation Capability in the relationship between Supply Chain Management and Firm Performance
Get PDFIn today\u27s dynamic and competitive business environment, organizations adopt supply chain management to boost innovation and improve performance. This study investigates the linkbetween supply chain management and firm performance and the mediating role of innovation capability. A cross-sectional survey research design was employed; 5 textile firms in Lagos State were conveniently selected for the study. 353 structured questionnaires were administered to top-, middle-, and lower-level managers of the selected firms, of which only 328 were returned. After data screening, only 312 responses were valid for analysis. The study employed SPSS statistical software to perform both descriptive and inferential statistical analysis. The mediation aspect of the analysis was done using Model 4 of the SPSS PROCESS macro. The study found that supply chain management has a significant positive effect on firm performance and innovation capability. Also, innovation capability significantly influences firm performance and plays a mediating role in improving the relationship between supply chain management and firm performance. The study recommends that leaders from industry should prioritize investments in SCM practices that can bring supply chain partners together to build a strong IC for performance improvement
Human Capital Perception in Hybrid Work Environments: A Qualitative Exploration of Artificial Intelligence Integration
Get PDFHybrid work environments that blend human labor with artificial intelligence (AI) systems reconceptualize assumptions about identity, agency, and value creation within the firm. Grounded in the philosophical postulate that organizational reality is a social construct, this study analyses how human capital interprets AI integration in companies located in the Sierra de Zongolica, Veracruz. A phenomenological design was employed; twenty-five semi structured interviews and two focus groups were conducted with service, production, and administrative workers who interact daily with human–AI systems. Thematic coding revealed four interrelated constructs: AI as an operational enabler, perceived occupational well-being, enhanced professional autonomy, and holistic job satisfaction. Participants reported that AI lightens repetitive tasks, shortens cycle times, and broadens decision-making scope, thereby reducing stress and improving work–life balance. Concurrently, concerns arose regarding the loss of human interaction and job stability, particularly among longer-tenured employees. The findings indicate that AI functions as a contingent complement to human expertise; its value depends on transparent algorithms, upskilling programmes differentiated by age cohorts, and change management sensitive to the cultural context. The study concludes that corporate strategies and public policies must align technological efficiency with ethical governance so that digital transformation simultaneously fosters productivity and human development
Sustainable Aquaculture in India: Environmental and Economic Assessment in West Godavari, Andhra Pradesh
Get PDFAquaculture has become a cornerstone of rural livelihoods and food security in India, particularly in Andhra Pradesh where districts such as West Godavari have evolved into high- density shrimp and fish farming zones. Despite considerable economic gains in export revenues and rural employment, questions remain regarding the ecological costs and long- term economic resilience of small and medium-scale farmers. Building on prior studies, this paper addresses gaps in micro-regional sustainable-aquaculture research by (i) explicitly stating and testing hypotheses grounded in ecosystem and resilience theory, (ii) validating our survey instrument (content validity index = 0.89; Cronbach’s α = 0.87), (iii) applying advanced quantitative techniques (exploratory factor analysis, structural equation modeling) alongside rigorous thematic analysis, and (iv) offering an integrated framework for policy and practice. Data were collected January–March 2023 via a cross-sectional survey of 200 stakeholders (farmers, input suppliers, institutional actors) and 30 in-depth interviews across five mandals in West Godavari. Structural equation modeling confirms that intensive input use (chemicals, high stocking densities) significantly predicts environmental degradation (β = 0.52, p < 0.001), which in turn negatively affects farm profitability (β = –0.65, p < 0.001). Adoption of sustainable practices (water recycling, polyculture) mitigates these effects (indirect standardized effect = +0.22, p < 0.05). Qualitative analysis yielded three major themes—“Ecological Risk Awareness,” “Economic Vulnerability,” and “Adaptive Innovation”—each illustrated by farmers’ verbatim statements. We discuss theoretical contributions to triple-bottom-line sustainability models, outline practical extension and credit mechanisms, and propose policy reforms including aquaculture zoning, zero-discharge mandates, and sustainability-linked finance. This study provides a robust empirical foundation for steering India’s aquaculture toward long-term ecological integrity and economic resilience
Leveraging Artificial Intelligence for Big Data Analysis: Enhancing Administrative Processes and Service Delivery in the Private Sector – A Case Study of SABIC
Get PDFThis study seeks to explore the effect of employing artificial intelligence (AI) techniques in the analysis of big data within managerial contexts, focusing on their role in enhancing administrative operations and service delivery in private sector organizations, with SABIC (www.sabic.com/en) serving as a case example. A descriptive survey design was adopted, and data were gathered through a questionnaire administered to a sample of 50 employees— comprising 30 males and 20 females—selected through a convenience sampling method. The outcomes of the research revealed that the implementation of AI techniques for analyzing big data within the managerial context at SABIC had a notably strong impact on enhancing administrative operations and the quality of services provided. From the viewpoint of the employees who participated in the study, the influence of AI integration was perceived as substantial and beneficial across multiple aspects of the organization’s internal processes. Moreover, the statistical analysis demonstrated that there were no significant differences at the 0.05 level in the participants\u27 overall attitudes toward the use of AI for big data analysis and its effect on improving both administrative efficiency and service delivery—when responses were categorized by gender (male vs. female). This indicates a generally shared perception among employees, regardless of gender, regarding the positive value of AI in modernizing administrative functions. However, further examination of the data uncovered statistically significant gender-based differences in specific dimensions, particularly in how AI contributes to enhancing administrative processes. Based on these findings, the study recommends several strategic actions: First, promoting a stronger organizational culture around AI, especially in the field of administrative work. Second, leveraging AI tools and systems as part of talent acquisition and managerial decision-making processes at SABIC. Third, encouraging departments and employees to adopt AI applications by offering training workshops and awareness campaigns that emphasize the practical benefits of AI in improving work performance and service efficiency
Consumer Behavior Evaluation Model for Marketing Tourist Destinations
Get PDFThe objective focused on designing a consumer behavior evaluation model to enhance the segmentation, positioning, and marketing of tourist destinations. The research employed both quantitative and qualitative methods, which facilitated the development of a model structured in three stages, using tools such as data analysis and specialized software. The sample consisted of 366 tourists, selected through random convenience sampling. Surveys conducted with tourists revealed a majority profile of young and middle-aged men with a high level of education and middle-class background, primarily seeking relaxation, recreation, and cultural experiences. Most expenses were directed toward food and accommodation. The conclusions suggest that, to close the gap between actual and desired behavior, it is necessary to improve the tourism offerings and align services and infrastructure with visitors\u27 expectations to increase satisfaction and destination competitiveness. The proposed model aims to evaluate consumer behavior and design actions that improve the economic and commercial performance of tourist destinations
Sustainable Business and Global Supply Chains in ASEAN: Escaping the Middle- Income Trap
Get PDFThis study explores the influence of sustainable business strategies and facilitative policy frameworks on ASEAN companies\u27 upgrading and integration into global supply chains (GSCs). The study employs a qualitative document analysis approach to critically examine 12 national and regional policy reports, 6 international institutional reports, and 12 firm-level sustainability and annual reports. Thematic coding and cross-case comparative analysis were conducted using ATLAS.ti software to determine main drivers of sustainable GSC involvement at firm and policy levels. There are suggested and argued conceptual frameworks: the Sustainable Value Chain Upgrading Framework and the Policy-Driven Sustainable Trade Framework. Evidence indicates that firms embracing environmental, social, and governance (ESG) values, circular economy approaches, and innovation investment possess higher market positioning and supply chain resilience. Meanwhile, green growth policies at the national level and international efforts promoting sustainable trade assist in guaranteeing main compliance reduction and corporate sustainability uptake incentives. Cross-country analysis reveals growing convergence towards ASEAN global ESG standards among ASEAN firms, with differences in social impact strategies localized. The article contributes to the existing literature by integrating firm- and policy-level perspectives and offers practical recommendations to policymakers and business managers interested in pursuing economic upgrading through sustainability in the region. The findings call for dynamic firm-policy interactions to attain resilient, inclusive, and sustainable engagement in global value chains
The Role of Gamification and Artificial Intelligence Stimuli in Driving Customer Engagement: A Study on Saudi Telecom Users’ Ability Readiness
Get PDFThis study examines the impact of gamification in marketing and artificial intelligence (AI) stimuli on customer engagement, with customer ability readiness as a moderating factor in the Saudi telecommunications sector. Using the Stimulus-Organism-Response (SOR) model, this research investigates how AI-driven personalization and gamification strategies influence customer interactions, motivation, and loyalty. A quantitative research approach was employed, utilizing Structural Equation Modeling (SEM) to analyze survey responses from 400 Saudi telecom users. The results confirm that gamification and AI stimuli positively influence customer engagement, with customer ability readiness significantly moderating these relationships. Consumers with higher technological proficiency are more likely to benefit from AI-driven and gamified experiences, while those with lower readiness may struggle to engage effectively. These findings highlight the importance of designing adaptive and inclusive marketing strategies tailored to different levels of digital proficiency. This study contributes to the theoretical literature by expanding the SOR model to include customer ability readiness as a moderating factor. It also provides practical insights for marketers in the Saudi telecom industry, emphasizing the need for personalized, user-friendly AI and gamification strategies. The findings align with Saudi Vision 2030’s goals of digital transformation and customer-centric innovation, offering valuable implications for businesses seeking to enhance customer engagement.
Impact of Artificial Intelligence on Perceived Satisfaction in Living Smart Cities as mediated by Subjective Well-being and Trust
Get PDFThis study investigates the impact of artificial intelligence (AI) on trust, subjective well-being, and perceived satisfaction in smart cities. A cross-sectional survey was conducted with urban residents in Pakistan, using a 5-point Likert scale to gather responses. The study hypothesized that AI influences trust, well-being, and satisfaction, and that trust and subjective well-being mediate these relationships. Structural Equation Modeling using SmartPLS software was applied for data analysis. The results indicate that AI has a significant positive effect on trust, subjective well-being, and perceived satisfaction. Trust and well-being were found to mediate the relationship between AI and satisfaction, highlighting their critical roles in enhancing residents’ experiences in smart cities. The findings emphasize the importance of designing AI systems that foster trust and improve well-being to maximize satisfaction among smart city residents. Theoretical contributions include the application of trust and subjective well-being frameworks in the context of AI and smart cities. Practically, the study offers insights for policymakers and urban planners to develop user-friendly, transparent, and reliable AI systems