درخت حوزه‌های تخصصی

The advancement of artificial intelligence (AI) and its growing societal importance are reshaping decision-making processes and policy analysis roles. This study examines the readiness of manufacturing companies in Malaysia to embrace AI technology, considering its potential to enhance decision-making, productivity, quality control, job automation, and data analysis. Focusing on the Technology, Organization, and Environment (T-O-E) readiness framework, the research investigates the relationship between these dimensions and AI adoption readiness among manufacturing companies in Shah Alam, Selangor, Malaysia. AI adoption readiness serves as the dependent variable, while technological, organizational, and environmental readiness dimensions act as independent variables. The study applies the T-O-E framework to AI readiness and proposes a framework for assessing AI readiness at the manufacturing level. It identifies factors influencing readiness within the technological, organizational, and environmental dimensions, including relative advantage, compatibility, resources, competitive pressure, top management support, and government regulations. Through rigorous analysis, patterns, trends, and correlations are revealed, highlighting a significant link between the T-O-E readiness dimensions and AI adoption readiness. Notably, organizational readiness emerges as a key driver of AI adoption in Malaysian manufacturing companies. The results of this investigation have broad implications, offering suggestions to improve organizational preparedness and unlock AI’s potential benefits for businesses in the industrial sector. Additionally, the research lays the groundwork for further studies on AI readiness across various industries and international contexts. As AI becomes increasingly integrated into manufacturing processes, adaptive businesses gain competitive advantages on a global scale. These advantages include increased productivity, informed decision-making, streamlined quality control, improved customer satisfaction, and potential contributions to economic growth. The study concludes by recommending strategies to reinforce organizational readiness and emphasizes the need for future research to deepen understanding of AI adoption readiness in the manufacturing industry. The integration of AI technology offers benefits such as enhanced productivity, decision-making, quality control, and customer satisfaction, granting businesses a competitive edge in the digital landscape and increasing stakeholder interest.

Background: The airline industry is highly competitive and service-oriented, making it particularly vulnerable to customer dissatisfaction and brand hate. Brand hate, defined as intense negative emotions toward a brand, can lead to consumer retaliation, boycotts, and long-term reputational damage in airline context.Aims: This study explores effective strategies for managing brand hate in the airline industry.Methodology: Using a dual-method qualitative approach, we conduct (1) a netnographic analysis from the consumer perspective and (2) five semi-structured interviews with airline managers, analyzed using Lexico 3.Findings: Our findings identify five key strategies for mitigating brand hate. Consistent with prior literature, we confirm that management processes and brand recovery are valuable for addressing short-term customer complaints. Additionally, we propose novel long-term strategies, including benchmarking and competitive intelligence, workplace control, and enhanced security measures. In fact, by integrating insights from both customers and brands, this research deepens the understanding of hate management and highlights the severe repercussions of consumer attrition for airline companies.Conclusions: Our study emphasizes the need for proactive interventions and equips managers with actionable strategies to reduce brand hate, repair customer relationships in digital environments, and enrich the literature on crisis management and relationship between consumer and brand.

The Fourth Industrial Revolution (4IR) and its associated technologies are revolutionising socio-economic sectors, including agriculture. This article explores the impact of digitalisation on African food systems. The article uses secondary and primary sources in academic and grey formats to examine how digital tools can shape agriculture and create new opportunities for developing Africa's food system. It identifies digital tools usable across the food system chain and explores their potential impact on food production, processing, storage, marketing, transportation, and consumption. The article also examines the challenges to transforming the digital food system in Africa. The article shows that while digital technology has the potential to increase food production, reduce food waste, and improve food marketing and distribution, several economic, political, and social challenges exist that frustrate digital uptake. It argues that African governments should enhance the capacity of actors in the food systems chain to adopt digital tools. This can be achieved through adopting relevant policies and rolling out digital infrastructure to enable actors to access it in their areas of operation.