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Although the international education sector is one of the significant contributors to the Australian economy, international students continue to experience various forms of social inequalities. This paper aims to focus on overseas doctoral researchers (ODRs) – candidates and graduates – and capture their experiences.

Drawing on the adaptive capacity framework, an exploratory qualitative study was carried out based on interviews with doctoral candidates (n = 6), doctoral graduates (n = 5) and supervisors (n = 4) in various Business Schools in Australian universities. Given this study’s exploratory and interpretive nature, the research question was deliberately broad: what insights can be generated for key stakeholders by capturing the experiences of ODRs in Australia through the lens of adaptive capacity?

Findings indicate that financial pressure, social exclusion and cultural bias were the three main challenges ODRs had to overcome; female ODRs perceived that supervisors and faculties often overlooked the mental health aspects; and better pedagogy of research supervision, institutional support and national policies are needed to develop adaptive ODRs.

If ODRs are to become an integral part of the knowledge economy, key stakeholders need to focus on support mechanisms for these researchers. That way, Australian universities can not only improve their image of treating international students only as a part of the revenue flow but also enhance the educational experiences of ODRs and set them up for future success.

The contribution of this paper is twofold. First, it demonstrates the utility of the adaptive capacity lens to capture the experiences of ODRs. Second, it discusses research implications for the three key stakeholders: supervisors, higher education institutions and the government.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

Singapore, a multiracial nation, where 80% of the population resides in mid- to high-rise public housing estates, provides an interesting milieu to study neighbouring in the context of high-density living. Its geopolitical position and socio-demographic features – such as an ageing demographic, changing family structure, and increasingly diverse population – have rendered social cohesion an integral aspect of national and neighbourhood-level policies, programmes, and institutions. However, these programmes and policies are built on a relatively static national narrative around mutuality, harmony, and community bonding that rarely takes into consideration current social, temporal, and spatial constructions of neighbouring. It is in this light that we re-examine the social construction of ‘neighbours’ and ‘neighbourliness’ in Singapore using a holistic quality of life (QoL) framework to better understand both institutional and lived forms of neighbourliness. A mixed-methods research approach, comprising 243 semi-structured interviews (161 with a Q method component) and a large-scale survey comprising 3,134 participants, was conducted to explore and assess current norms, attitudes, and practices around neighbouring. Our findings show a dominant set of practices around neighbouring that are polite, minimal, and often referred to as ‘hi/bye’. we note two particular perspectives of the relative importance of neighbours in contributing to QoL and consider the effects of hi/bye neighbouring upon an older group of residents for whom neighbours are still important. This deeper understanding around neighbouring in public housing estates also brings relevant insights to related social cohesion policies and programmes.

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.