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Recent research recognises the importance of Industry 4.0 (I4.0) for government, industry, and education stakeholders. Nevertheless, there are calls for alternative ways of deepening knowledge, including adopting cross-nation and qualitative perspectives. In responding to these calls and considering the knowledge-based view of the firm, this study investigates company leaders' perceptions concerning I4.0 preparedness among their employees, employees' reactions to the new I4.0 regime, and how companies manage the process of knowledge acquisition to adopt I4.0. Data from 80 semi-structured, open-ended interviews were gathered from companies operating in Bolivia and Vietnam. The analysis uncovered the importance of company- and self-driven knowledge acquisition concerning employees' I4.0 preparedness. The I4.0-motivated, I4.0-alienated, and uncertain future dimensions best illustrated staff's reactions, while I4.0 change agents, technology-based conditions, and being non-risk adverse were best exemplars of company's management of I4.0. The study discusses key practical and theoretical implications and proposes a theoretical framework. [ABSTRACT FROM AUTHOR]

The primary goal of higher education institutions is to support all students in the pursuit of academic success, which requires timely assistance for 'at risk' students. The adoption of learning management systems results in a large amount of data that can be collected, processed and utilised to improve the students' learning experiences. This research examines the potential applications of analytics techniques for extracting insights from student-generated content in an academic setting. It showcases how different text analytics techniques, from descriptive content analysis, semantic network analysis, to topic modelling support the discovery of new insights from unstructured, user-generated data. We looked at 968 letters written by 'at risk' students in an Australian-based university in Southeast Asia to examine the difficulties the students faced, which led to their academic failure. The results show that time management, family, learning, assessment, and subjects were the leading causes of poor performance, but in a more nuanced way than was expected. Students often faced multiple challenges, one led to another, which resulted in the failing grades. Our study contributes a set of effective text analytics techniques for extracting insights from student data, providing the preliminary guidelines for an information system to detect early at risk students. [ABSTRACT FROM AUTHOR]

This paper develops a cluster-led strategic policy framework to assess the strategic positioning of key global logistics cities in Asia, most of which are affected by the ‘Belt and Road (B&R) Initiative.’ One of the key challenges that the B&R Initiative is facing is underdeveloped logistics infrastructure in Asia, not to mention road congestion, dilapidated infrastructure, incessant supply chain disruptions, and capacity constraint, which imposes significant economic costs. Global logistics cities are evaluated on logistics infrastructure capacity and service responsiveness. This involves selecting the key global logistics cities, identifying key indicators, standardising and indexing, mapping dimensions of global logistics cities, and developing the cluster-led strategic policy framework. The results indicate the prevalence of a multi-tier system wherein Shanghai and Hong Kong have attained the maturity of a global logistics city, whilst Manila, Jakarta, and Bangalore are making slow but steady progress in that direction. In contrast, Dhaka, Phnom Penh, and Ho Chi Minh City are showing potential but require further enhancement through significant investment in infrastructure and service delivery improvement. The cluster-led strategic policy framework formulates actions and strategies through which emergent logistics networks can be strategically aligned and functionally integrated with B&R-oriented global trading hubs and transport corridors.. [ABSTRACT FROM AUTHOR]