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The phenomenon of social withdrawal, known as the hikikomori-like idiom of distress (HLID), has been reported in many countries. This study aimed to explore profiles of Omanis who have HLID.

A cross-sectional online survey of 673 out of 1,529 Omanis identified with HLID using the Hikikomori Questionnaire (HQ-25) score of 42+.

Two profile groups were determined through cluster analysis according to socio-demographic and HQ-25 outcomes. Subjects in cluster 1 (n = 168, 24.9%) are significantly younger (p < 0.001) and more educated (p = 0.019), spend more time online (p < 0.001) and are living alone (p < 0.001) than subjects in cluster 2 (n = 505, 75.1%). More subjects in cluster 1 had a past mental illness (p = 0.037) but less previous childhood physical/emotional abuse (p = 0.029) than subjects in cluster 2. In contrast, subjects in cluster 2 had a low lack of socialization (p < 0.001), less active isolation (p < 0.001) and total HQ-25 scores (p < 0.001) than cluster 1. Subjects in Cluster 1 have more serious social withdrawal issues than those in Cluster 2, especially on a lack of socialization and isolation.

One limitation that might influence the results of this online study was that information was collected via self-report, and a cross-sectional design limits its results because it cannot assess causal inference. This study has contributed valuably to exploring different profile groups of HDLD, especially in the Arabian Gulf. The authors’ findings facilitate the development by creating innovative interventions strategically tackling different hikikomori groups.

While social withdrawal characterized by HLID has been reported proliferating in different parts of the world, little research has been forthcoming from Arabian Gulf countries. These findings suggest that there are two orthogonal clusters of HLID among Omanis. This study provides a foundation for further research on HLID, which has recently been reported in different parts of the world.

As a result of the COVID-19 pandemic, many countries have implemented preventive measures that may negatively affect the physical and mental health of older adults. This study aims to investigate the changes in life satisfaction, depressive symptoms and quality-of-life (QoL) of older adults during the post-COVID-19 pandemic in Oman.

A prospective four-week follow-up study was conducted in one health-care center in Muscat, Oman. Convenience sampling was used, and the recruitment was from November 2021 to October 2022, with 38 participants aged 60–81, of whom 36 completed the study. The study evaluated changes in psychological well-being over time and analyzed gender differences.

The study revealed a positive impact of the preventive measures on the QoL (F = 3.08, p = 0.032) and a reduction in depressive symptoms (F = 3.09, p = 0.045). However, there was no significant change in life satisfaction (F = 1.90, p = 0.165). In particular, older women reported decreased depression (F = 5.31, p = 0.006), while older men reported improved QoL (F = 4.27, p = 0.025).

Few studies have reported on the well-being issues of older adults in Oman during the pandemic. Thus, the findings of this study can contribute to the international understanding of the impact of pandemics on the well-being of older adults in Oman and help health-care professionals tailor health-care programs for older adults in the community setting.

This study provides valuable insights into the well-being of older adults in Oman during the pandemic. Understanding the effects of long-term health hazards is crucial for developing community-level intervention plans and strategies for older adults in the community setting.

This cross-sectional online survey in Oman in April 2021 aimed to assess university students' resilience, stress levels and meaning during the COVID-19 pandemic and identify characteristic profiles.

A cross-sectional survey design was used to collect data from full-time students at one University in Oman. Outcomes included sociodemographic information, the brief resilience scale, the perceived stress scale-4 and the meaning in life questionnaire to explore the students' profiles.

A total of 964 students participated (response rate = 34.8%), of which 35% had low resilience scores. The average perceived stress, presence of meaning in life and search for meaning in life scores were 7.9 ± 2.3, 24.2 ± 6.9 and 24.9 ± 7.7, respectively. Cluster analysis identified three groups: low-risk and fewer impacts (cluster A, n = 503, 523%), moderate-risk and moderate impacts (cluster B, n = 160, 16.6%) and high-risk and more impacts (cluster C, n = 301, 31.2%). Cluster C students experienced more psychological problems and were at high risk during the pandemic.

The respondents' honesty is a possible error that could influence the results. Low response rates limit its generalizability, and cause-effect relationships among mental health outcomes cannot be discerned.

This study identified three distinct groups of students, each with different levels of severity in their health problems. There is an increased need for education and counseling to support students during this period, and university management should focus on implementing personal precautionary measures and providing high-tech, user-friendly platforms for students to enhance their learning.

These findings suggest that tailored strategies should be developed to address the unique psychological needs of each group. The study provides important information for university management to understand the pandemic's psychological impact on students and develop effective interventions to support their well-being.

Emotional intelligence (EI) can improve patient–doctor relationships, foster empathy, develop teamwork in the workplace, and boost communication skills. This study aims to determine whether a cohort of residents has different profiles to their demographic and EI.

A cross-sectional survey was conducted in 2017–2018 (n = 440). The Trait Emotional Intelligence Questionnaire was used to measure EI. Cluster analysis was used to identify different profile groups.

Cluster analysis identified three clusters with different profiles. The residents in cluster A (n = 146, 33.2%) were older, more males, studying in their final year, and perceived lower EI. Cluster B (n = 184, 41.8%) were predominantly young females, more single, studying in year one, and perceived moderate EI. Cluster C (n = 110, 25.0%) were predominantly married females studying their year 1 in surgical and perceived higher EI.

Study limitations include respondent honesty, cross-sectional design, and lack of a comparison site. Including EI education can improve emotional regulation, well-being, and sociability and should be assessed as part of residents' development.

Medical residents differ in emotional profiles, with higher EI improving coping and problem-solving skills. EI training should be integrated into the medical curriculum, particularly given the high-stress levels and unique stressors of hospital practicums.

The study suggested that three groups of residents exist, and they differ in demographic, EI, and subscale levels. This study recommended that residents be taught EI-related concepts to help them develop their EI through training on emotionality, self-control, well-being, and sociability.

Since the launch of the Mainland and Hong Kong Closer Economic Partnership Arrangement (CEPA) in 2003, Hong Kong cinema is believed to have confronted drastic changes. Hong Kong cinema is described to be dying, lacking creative space and losing local distinctiveness. A decade later, the rise of Hong Kong – China coproduction cinema under CEPA has been normalized and changed the once pessimism in the industry. The purpose of this paper is to demonstrate how Hong Kong cinema adjusted its production and creation in the first 10 years of CEPA.

Beginning with a review of the overall development, three paradigmatic cases are examined for reflecting upon what the major industrial and commercial concerns on the Hong Kong – China coproduction model are, and how such a coproduction model is not developed as smooth as what the Hong Kong filmmakers expected.

Collectively, this paper singles out the difficulties in operation and the limit of transnationality that occur in the Chinese context for the development of Hong Kong cinema under the Hong Kong – China coproduction model.

This is the author’s research in his five-year study of Hong Kong cinema and it contributes a lot to the field of cinema studies with relevant industrial and policy concern.

The advent of digitalization and the trend of social distancing coincide with the individualized lifestyle that is emerging among contemporary shoppers. This study explores the unique market of “smart solo shoppers”. Two empirical studies are conducted, which aim to identify the major dimensions of multi-channel shopping activities that are engaged by the shoppers (Study 1, n = 64) and to differentiate the shoppers' valuation of time invested in the distinct dimensions under different cultural influences (Study 2, n = 519).

A survey questionnaire is used for data collection, and data are analyzed using structural equation modeling.

Results reveal that the shopping activities converge into four principal dimensions: offline shopping, online shopping, post-shopping delivery and product return activities. Shoppers who perceive offline shopping activities as a time burden and online shopping and delivery activities as venues of value creation are more strongly self-identified as smart solo shoppers. Furthermore, smart solo shoppers who are under a strong influence of individualistic culture are found to spend time on multi-channel shopping to make the right purchase the first time, whereas shoppers perceiving being in a weak individualistic culture prefer to engage online channels while being prepared to return the unwanted purchases.

This study highlights an emerging research field in the nexus of solo consumption and smart shopping. Emphasizing the utility-driven and ego-expressive nature of smart solo shoppers, the authors provide an initial profile of these shoppers based on their time-valuation patterns and the contextual impacts of individualistic culture.

Attempts to establish the extent to which the use of computers in Australia’s Department of Social Security (DSS) has facilitated changes in social security policy and its administration. Bases findings on case studies relating to two new DSS policies, supplemented with documentary evidence. Identifies that computers are used in the DSS for six main purposes ‐ administering, automating, protecting, monitoring and evaluating policy, as well as for modelling future policy options. Identifies that, instead of increasing efficiency in administration, computers have simply increased productivity by enabling administrative practices to be extended into new areas; observes an emerging computer‐dependent culture dominated by quantitative (rather than qualitative) practices. Establishes that the flexibility offered by computer technology has also contributed to the introduction of more complex social security policies. Concludes that computer technology has contributed to the formulation and administration of social security policies.

Megaproject knowledge innovation (MKI) is perceived as a critical strategy for engineering value co-creation and industrial chain upgrading. Ascertaining the impact mechanism of MKI is a crucial initial step towards improving management practices. Within the framework of complex systems in megaprojects, factors exhibit intricate interdependencies. However, the current domain of knowledge has either overlooked or oversimplified this relationship and therefore cannot propose pragmatic and efficacious strategies for enhancing MKI. To close this gap, this study develops a Bayesian network (BN) model aiming to investigate the interdependencies among MKI-related factors and their impact on MKI.

First, this study implements literature review, expert interview and field investigation to identify the influencing factor nodes for the network model development. Second, a Bayesian network was constructed by integrating the expert knowledge with Dempster-Shafer theory. Next, a MKI measurement model was established using 253 training samples. Finally, the factor significance and optimal MKI improvement strategies are identified from the sensitivity analysis and probabilistic reasoning within the BNs.

The results indicate that (1) the BN model exhibits significant reliability and holds promotion and application value in formulating MKI management strategies; (2) knowledge sharing, shared vision and leadership are the key influencing factors of MKI; and (3) simultaneously improving institutional pressure, leadership and knowledge sharing is the most optimal strategy to enhance MKI.

This study innovatively introduced the BN method into the domain of MKI management, providing an appropriate approach for modelling complex relationships among factors and investigate nonlinear influences. The developed model raises megaproject stakeholders’ awareness about factors influencing MKI and presents quantified strategies that increase the likelihood of maximising MKI levels. Its ease of generalisability positions it as a promising decision support tool, facilitating the implementation of sustainable MKI practices.

This research seeks to develop a model to predict repurchase intention based on the modified theory of planned behavior (TPB).

This research is quantitative study involving 150 respondents from five major cities in Indonesia. Data were collected using a questionnaire. Data analysis used confirmatory factor analysis–structural equation modeling (CFA–SEM).

The research instrument and the proposed model were fit. However, health belief was not proven to have a significant impact on attitude. The perceived behavioral control (PBC) also did not significantly affect repurchase intention.

Future research that utilizes TPB should incorporate emotional belief as part of the attitude variable.

In the designing and marketing process, managers of herbal teas companies should consider the health benefits of their products and the feeling of joy it might incite.

The TPB was initially constructed from three variables: subjective norm, attitude and perceived behavioral control (PBC). Unlike previous research, this study considered cognitive and emotional beliefs as the factors that affected attitude.

Teleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.

The Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.

The major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.

A key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.

A wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.