https://repositori.mypolycc.edu.my/jspui/handle/123456789/6669 Mon, 31 Aug 2026 16:46:13 GMT 2026-08-31T16:46:13Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/10494 Title: AI FAMILIARITY, AND PERCEIVED QUALITY OF LIFE: AN EXPLORATORY ANALYSIS Authors: Negutoiu, D. Milian Abstract: Artificial intelligence constitutes the most advanced dimension of technological development and social progress in the contemporary era. It is increasingly becoming an essential technical instrument across social and economic activities, including production, services, and education. This study conducted a comprehensive investigation across various economic and social sectors to assess the impact of artificial intelligence on quality of life. The advancement of artificial intelligence is facilitated by cutting-edge data transmission systems, such as 6G. The successful implementation of such systems requires integration at local, national, and governmental levels; thus, local public authorities must demonstrate sustained commitment to ensuring connectivity with the national data transmission infrastructure. The analysis undertaken in this research encompassed a broad spectrum of age groups to systematically collect, centralize, and interpret data, thereby enabling the formulation of conclusions regarding AI’s role in enhancing quality of life. Particular attention was given to the impact of artificial intelligence on improving the well-being of older adults, individuals with disabilities, and other populations that extensively utilize AI technologies. This chapter seeks to provide a nuanced examination of the ways in which AI-driven advancements contribute to quality of life, aligning these findings with traditional indicators of well-being. Thu, 01 Jan 2026 00:00:00 GMT https://repositori.mypolycc.edu.my/jspui/handle/123456789/10494 2026-01-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/10493 Title: CONSUMER TRUST TOWARD AI CHATBOTS IN E-COMMERCE: A COMPREHENSIVE REVIEW OF DETERMINANTS, CHALLENGES, AND FUTURE DIRECTIONS Authors: Gurrampati Obilesu; V. Ananda Kumar; T. Nagendra Abstract: The emergence of artificial intelligence (AI) chatbots has proven to be a game-changer within the e-commerce industry, as they improve customer interaction by providing real-time support, making product recommendations, and automating service. It has been established that with businesses more inclined towards adopting AI-driven conversational agents in their digital channels, customer trust in AI chatbots will have a huge bearing on their adoption and success in the long run. This review looks into a detailed analysis of consumer trust towards AI chatbots in the e-commerce environment by drawing from existing literature on factors, outcomes, issues, and areas of research on the subject. This review identifies important trust factors, such as perceived intelligence, usefulness, ease of use, transparency, personalization, reliability, human-likeness, and data security, and delves into the psychological aspects that influence trust formation, such as perceived risk, trust propensity, technology readiness, consumer innovativeness, perceived control, and emotional response. It is clear from the analysis that trust influences consumer satisfaction, engagement, purchase intentions, customer loyalty, and positive electronic word-of-mouth. AI chatbots face certain barriers, such as incorrect responses, a lack of empathy, privacy concerns, algorithmic bias, over-automation, and erosion of trust after service failure. Additionally, new trends like generative AI chatbots, LLMs, voice commerce, agentic AI shopping assistants, multimodal AI systems, and hyper-personalized shopping experiences are set to redefine the way digital commerce is practiced, while some research gaps need to be addressed, such as longitudinal studies, cross-cultural studies, ethical trust frameworks, human-AI collaboration models, trust repair, and explainable AI. The study emphasizes the development of transparent, secure, ethical, and customer-centric AI chatbot systems. It is a valuable contribution to the ongoing research in AI-enabled commerce. Thu, 01 Jan 2026 00:00:00 GMT https://repositori.mypolycc.edu.my/jspui/handle/123456789/10493 2026-01-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/10492 Title: INTEGRATING INTELLIGENT TECHNOLOGIES WITH DYNAMIC OPERATIONS STRATEGIES FOR ENHANCING RESILIENCE AND SUSTAINABILITY IN SMART INDUSTRIAL ECOSYSTEMS Authors: R. Kumar Dhandayuthapani Abstract: In the face of increasing global disruptions and environmental challenges, smart industrial ecosystems must evolve to be more resilient and sustainable. This paper explores how the integration of intelligent technologies—such as artificial intelligence, IoT, and cyber-physical systems—with dynamic operations strategies can address these dual imperatives. Emphasis is placed on the synergistic role of real-time decision making, adaptive supply chain models, and data-driven resource optimization. We analyse contemporary frameworks and propose a hybrid model that leverages intelligent automation and responsive operational planning to strengthen both resilience and sustainability. The proposed framework is supported by a structured literature review and a system flowchart to illustrate decision pathways and impact zones. Wed, 01 Jan 2025 00:00:00 GMT https://repositori.mypolycc.edu.my/jspui/handle/123456789/10492 2025-01-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/10491 Title: BUYING IN THE DIGITAL AGE: THE SIGNIFICANCE OF CUSTOMER REVIEWS FOR YOUNG ADULT CONSUMERS Authors: Sarathsimha Bhattaru; N. Niharika Abstract: A customer's decision-making process is being increasingly influenced by online consumer evaluations, suggestions of products and services, and the opinions of their peers. The several internet platforms that provide product reviews and recommendations are distinct from one another in terms of their goals, functions, and qualities. Up to this point, the literature has insufficient attention was made to the functional qualities of these platforms as a component of customer adoption and choice. In light of the fact that this type of consumer-generated material has a significant impact on the sales and profitability of businesses, the monitoring of customer reviews and the frequent response to those reviews by business organizations has become a significant managerial task and an important issue in terms of reputation management. It is necessary for businesses to discover consumer review sites, have an understanding of the characteristics of these platforms, and continually evaluate the impact that these platforms have on the purchase decisions of customers in order to respond effectively to customer evaluations. It has been determined through this research that there are four primary categories of online review platforms. These categories are company websites, social media platforms, e-commerce websites, and google reviews. The product reviews that are presented on these platforms are presented in a variety of ways, with an emphasis on the various review function aspects. The results of an online poll were evaluated to determine how consumers feel about the various review systems and platforms, as well as the influence that these factors have on consumer purchasing behavior. The results highlight the significance of the legitimacy and usefulness of the platform in relation to the faith that customers have in reviews and their dependence on them as a source of information during the decision-making process. Mon, 01 Jan 2024 00:00:00 GMT https://repositori.mypolycc.edu.my/jspui/handle/123456789/10491 2024-01-01T00:00:00Z