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This study aims to examine the symbolic meanings of the local shopping malls inscribed by the shoppers from the sociocultural lens other than merely departing from the economic dimensions.

In this research, Kwai Chung Plaza was adopted as the case study. The author interviewed 12 local shoppers through an in-depth individual interview. All interviewees were selected through convenience and snowball sampling. All names of the participants in this paper are kept pseudonymous to protect their privacy.

An integrated model, which consists of three major levels, namely, the spatial, individual and community levels, has been formed to show that the shopping mall was not merely a place for buy-and-sell transactions but rather a place that could be understood as an extension of the street, a body of collective memories and a place for Hongkongers.

The most significant limitation of this study was the lack of a diversified demographic profile adding that the sample was restricted to the young generation. It is recommended that future research should consider including interviews with middle-aged and old-aged shoppers to ensure the generalizability of results. Future research may also consider examining other small/medium-sized shopping malls for comparison.

The findings demonstrated the diversified social roles and functions of the local shopping malls in a community. In addition, the present study, to the author’s knowledge, is one of the few scholarly discussions on small/medium-sized shopping malls from a sociocultural perspective.

The study investigates the co-movements amongst real estate investments trust (REITs). This study examines the co-movements between the world and individual countries' REITs and the co-movements amongst country-pair REITs. This study explores the responsiveness of the REITs markets' co-movements to the 2008 global financial crisis (GFC), the coronavirus disease 2019 (COVID-19) pandemic and the Russian–Ukraine conflict.

The study employs a wavelet coherency technique and relies on data from six REITs markets over the 1995–2022 period.

The evidence shows a generally high level of coherency between the global and the country's REITs. The findings further indicate higher co-movements between some country pairs and a lower co-movement for others. The results suggest that the REITs markets increased in co-movements around the 2008 GFC, the COVID-19 pandemic and the Russian–Ukraine conflict. These increased co-movements mostly lasted for a short period suggesting REITs markets contagion around these global events. The results generally suggest interdependence between the global and the country's REITs. Additionally, interdependence is observed for some of the country-pair REITs.

The evidence indicates that REITs markets respond to global events. Thus, the increasing co-movement amongst REITs observed in this study may expose domestic REITs to global crisis. However, this study provides opportunities for minimising the cost of capital for real estate projects. Also, REITs provide limited diversification gains around crisis times. Therefore, countries need to open the REITs markets to global investors whilst pursuing policies to ensure the resilience of the REITs markets to global events. Investors should also take note of the declining geographic diversification gains from some country-pair REITs portfolios.

This research investigates Hong Kong academic librarians' attitudes toward robotic process automation (RPA) and their willingness to learn this technology.

This qualitative study collected data through one-on-one semi-structured interviews conducted with video conferencing software. After participants received basic RPA information and three existing library application cases, they answered questions based on the interview guide. This research used the inductive thematic analysis method to analyze the collected data.

Regarding Hong Kong academic librarians' attitudes towards RPA, 19 themes were identified. Although all participants did not have previous knowledge of RPA, most showed positive attitudes toward implementing RPA in their libraries and some willingness to learn it. Besides, among all identified themes, negative attitudes mainly comprised “Affect” and “Cognition” factors, hindering RPA deployment in academic libraries.

This research helps librarians and RPA vendors make better decisions or strategies for implementing RPA for libraries, which has not been explored, especially in East Asia.

This research highlights age-specific barriers to employment for older workers and the gap between activation policy design and implementation, focusing on difficulties in extending working life under employment support services.

This research employed a qualitative approach, utilizing semi-structured interviews to gather perspectives on extending the working lives of older adults. Eighteen experienced social workers who worked in employment support services for older workers who aged fifty-five and above participated in the study.

This study underscores the importance of comprehensively understanding the heterogeneity of individuals' circumstances and emphasizes the impact of intersectionality on the development of extending working life. It incorporates individual and familial difficulties, including considering caregiving responsibilities, health issues and housing challenges before exploring employment-related concerns. The study also highlights external factors influencing older workers' employment prospects, including employer perspectives, government support levels and public recognition of the necessity to extend working life.

This research sheds light on the impact of welfare-related stigma, which imposes obstacles and inflexibility on older workers seeking employment. It ultimately contributes to the sustainability and dynamism of the Asia–Pacific workforce while also informing regional discussions on social security and welfare services.

It uniquely employs the perspectives of social workers providing employment support services to highlight challenges and policy gaps in extending the working lives of older workers in Hong Kong. It also provides practical insights into strategies and mechanisms for extending working life across diverse social contexts.

Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.

In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. Descriptive analysis at course-level, theme-level and curriculum-level had been included to illustrate the proposed approach’s functions.

The results indicate that the machine-learning classification approach can significantly accelerate the SDG classification of courses. However, currently, it cannot replace human classification due to the complexity of the problem and the lack of relevant training data.

The study can achieve a more accurate model training through adopting advanced machine learning algorithms (e.g. deep learning, multioutput multiclass machine learning algorithms); developing a more effective test data set by extracting more relevant information from syllabus and learning materials; expanding the training data set of SDGs that currently have insufficient records (e.g. SDG 12); and replacing the existing training data set from OSDG by authentic education-related documents (such as course syllabus) with SDG classifications. The performance of the algorithm should also be compared to other computer-based and human-based SDG classification approaches for cross-checking the results, with a systematic evaluation framework. Furthermore, the study can be analyzed by circulating results to students and understanding how they would interpret and use the results for choosing courses for studying. Furthermore, the study mainly focused on the classification of topics that are taught in courses but cannot measure the effectiveness of adopted pedagogies, assessment strategies and competency development strategies in courses. The study can also conduct analysis based on assessment tasks and rubrics of courses to see whether the assessment tasks can help students understand and take action on SDGs.

The proposed approach explores the possibility of using machine learning for SDG classifications in scale.

This study aims to reveal and compare the cultural logics of university-educated Chinese mothers in Singapore and Hong Kong in their mothering practices to improvise their femininities in constituting their work–family interactions.

This qualitative research, with the ethnographic elements, has included 32 Chinese mothers to share about their mothering experiences through semi-structured interviews. This methodological design with feminist lens embraces women’s own narratives as sources of knowledge and learns their voices to reinvent their role and bodily engagement in shaping their family dynamics.

This discussion basically reaffirms the argument where the mother’s involvement in their children’s schoolwork becomes one of the core elements in their actual everyday mothering practices. It has further reflected the dynamics of family quality time in the light of mothers’ cultural logics as much as their attentive agency capacity to present their respectable femininity in the form of mothering.

This research process has revealed the actual experiences of the participants from their own narratives. For future research development, data collection can be extended to include the husbands’ profiles and their narratives in understanding their wives’ mothering experiences.

This discussion enriches the work-family literature by extending it to the Asian Chinese context. While the concepts of cultural capital and habitus have been addressed in previous studies, this discussion highlights the agency capacity of the university-educated Chinese mothers in their cultural logics to deliver their respective mothering practices. This filtering process to transmit cultural capital to their children is as much as they involve in reproducing status boundaries for the family.

With the increasing computation and communication speed of mobile devices, their use and roles have been repositioned to act more than a communication tool. Around 0.4 million foreign domestic helpers (FDHs) form an integral part of Hong Kong society and have the highest concentrations of FDHs worldwide, but scant studies focus on their mobile technology usage. This study aims to discuss the aforementioned issue.

This research investigated mobile technology usage by 145 FDHs in Hong Kong with a quantitative survey, covering their actual mobile technology usage, perceptions, influences and adoption barriers.

Besides communication and connection with friends and family, participants used mobile technology for information seeking, productivity, utility and entertainment. Perception of usefulness was the greatest influence, and they would use any mobile technology once its basic function supports their daily needs. They considered no “very serious barrier,” though data tariff was their biggest concern. Overall, there were some significant differences between genders in the usage of mobile technologies.

Scant studies focus on the mobile technology usage of FDHs. The results reveal the usefulness of mobile technologies to FDHs for government policy-making and for employers and employment agencies to better support the FHDs' daily lives.

Little is known about gender relations in young African migrant families residing in Hong Kong (HK). This study aims to present a first-hand account of daily lived experiences of African international doctoral student couples residing in HK, with special emphases on their Africa–HK migratory motivations, perceptions of female-breadwinning status, the effects of HK Immigration policy on marital power structures and the influence of spousal relative statuses (“breadwinner” versus “dependent”) on couples gender role performances and decision-making participations.

This study used ethnographic method involving several indoor family visits, non-participant observations and 21 in-depth interviews in six African student families. Fieldnotes were taken and interviews were tape-recorded, transcribed and interpreted using thematic content analysis.

Couples, especially dependent men, had a hard time deciding to migrate to HK for family reunion, unlike dependent women who willingly resigned to join their husbands in HK. Among the male dependents, the main reasons for migrating included anticipated economic returns, while women migrated in response to neolocal cultural expectations. Overall, patriarchy persisted – while men had the final say over key household decision-making domains, women remained primary performers of household chores, but manifested little bargaining power, restraining husband’s ability to spend family income when they are the family’s sole-earners. Women’s relative breadwinning status had very minimal significant impact.

To the best of the author’s knowledge, this is the first study to examine the effects of HK’s immigration policy on married African students’ migration motivations and the effects of female-breadwinning status on spousal gender relations in HK’s African student migrant households.

This study aims at proposing and testing a model delineating how and when the quality of a special B2B professional service, investment relations (IR), would drive corporate intangible value.

This study employs a proprietary dataset on voting records of an annual investment relations (IR) awards event and the corresponding company-level archival data for analysis. Regression analysis is used to test hypotheses.

IR service quality not only directly enhances corporate intangible value, but also indirectly boosts it via information transparency. While competitive intensity does not moderate the relationship between IR service quality and corporate intangible value, its moderating effect on the relationship between information transparency and this value is negative.

The findings advance academic understanding of the mechanism and boundary conditions underlying the complex and dynamic relationships among IR service quality, information transparency, corporate intangible value and competitive intensity. Future research endeavors to verify the present findings in other service and/or geographic settings would help establish their external validity.

The findings advise companies to expand the traditional role of IR by taking it as a powerful communication and relationship marketing tool to improve their visibility and attract investors.

The findings suggest that superior IR service would strengthen the company’s social bonding with institutional investors and effectively signal to them its commitment to good corporate governance practices.

Matching a proprietary dataset on IR voting records with the corresponding company-level archival data over a five-year period to investigate the performance implications of IR service quality within the Hong Kong context rectifies methodological limitation and geographic confinement of prior IR research.

The study aims to draw on the self-congruity theory to investigate the relationship among destination personality (DP), self-congruity and tourists’ pro-environmental behavioral intention (BI) among Guangzhou citizens who have experienced nature-based tourism (NBT).

The survey-based quantitative research was divided into two rounds, namely, a preliminary study exploring the dimensions of DP and the verification of whether the DP dimensions that significantly affect pro-environmental BI in step one would be selected for the main research to validate the conceptual model.

The results suggest that wholesome, one of the destination personalities, strongly predicts tourists’ pro-environmental BI, while actual self-congruity plays a mediating role between sincere, another DP, and tourists’ pro-environmental BI.

In practice, it offers multidimensional knowledge and robust evidence-based recommendations for the sustainable development and destination branding of NBT destinations in the post-epidemic era.

The study presents pioneering work that reveals previously underestimated factors influencing pro-environmental BI.