Karly O.W. Chan, Maggie K.W. Ng, Joseph C.H. So and Victor C.W. Chan
A new academic structure for senior secondary and higher education was introduced to Hong Kong in 2009/2010. This paper aims to: (1) compare the cohort from the old academic…
Abstract
Purpose
A new academic structure for senior secondary and higher education was introduced to Hong Kong in 2009/2010. This paper aims to: (1) compare the cohort from the old academic structure (Cohort 2010) and the cohort from the new academic structure (Cohort 2015) on the 14 categories of generic competencies; and (2) compare these attributes among students from different divisions in a tertiary institution in Hong Kong.
Design/methodology/approach
Self-Assessment of All-Round Development (SAARD) questionnaires were distributed to students who took the two-year sub-degree programmes offered by the College of Professional and Continuing Education, The Hong Kong Polytechnic University in 2010 and 2015 on a self-administered basis. A total of 4,424 students have returned the questionnaires. Data were analyzed with t-test to compare between the two cohorts.
Findings
When comparing Cohort 2015 with Cohort 2010, significantly higher scores were observed on five areas such as global outlook and healthy lifestyle (p<0.05). Significantly lower scores were observed on the other five areas such as problem solving, critical thinking and leadership (p<0.05). Students from all divisions unanimously showed higher perceived rating on social and national responsibility but lower perceived rating on leadership (p<0.05).
Originality/Value
The elimination of one public examination, the newly included components such as Other Learning Experiences (OLE) and the compulsory Liberal Studies were believed to contribute partially to the diverse responses of the two cohorts. The dramatic change of the curriculum has not changed the examination culture in Hong Kong which may hinder the development of generic skills among students.
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Bharat Mehra and Baheya S. Jaber
The acceleration of Opioid deaths over the last decade has made it a serious national public health crisis. Alabama has not been immune to this epidemic, with dramatically…
Abstract
The acceleration of Opioid deaths over the last decade has made it a serious national public health crisis. Alabama has not been immune to this epidemic, with dramatically increased age-adjusted drug overdose death rates. These increases have occurred in a state with limited resources for Opioid health prevention, treatment, and recovery services. This chapter introduces the term “o-CHIL” in order to better understand the multi-factorial layers of intertwining health injustices (in the plural) experienced in Alabama’s communities and their embedded public libraries. It highlights the complexities in Opioid consumer health information literacies, the culturally situated dimensions of the Opioid crisis in Alabama, and the uniquely relevant consumer health literacies in its public libraries. Findings are based on an empirical assessment of representative information support services identified in February 2020 on the websites of the 230 public libraries listed as members of the Alabama Public Library Service. The exploratory study applies website content analysis to identify seven examples of information offerings and to class offerings into three categories: (1) information sources (collections, resources); (2) information policy and planning (assigned Opioid-related role, strategic representation); and (3) connections (internal, external, news and events). The discussion potentially provides new directions, approaches, and opportunities to build collaborations of sharing within Alabama’s network of public libraries and beyond for them to better serve their local and regional communities impacted by the Opioid crisis.
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John Fry and Jean-Philippe Serbera
The authors develop new quantitative methods to estimate the level of speculation and long-term sustainability of Bitcoin and Blockchain.
Abstract
Purpose
The authors develop new quantitative methods to estimate the level of speculation and long-term sustainability of Bitcoin and Blockchain.
Design/methodology/approach
The authors explore the practical application of speculative bubble models to cryptocurrencies. They then show how the approach can be extended to provide estimated brand values using data from Google Trends.
Findings
The authors confirm previous findings of speculative bubbles in cryptocurrency markets. Relatedly, Google searches for cryptocurrencies seem to be primarily driven by recent price rises. Overall results are sufficient to question the long-term sustainability of Bitcoin with the suggestion that Ethereum, Bitcoin Cash and Ripple may all enjoy technical advantages relative to Bitcoin. Our results also demonstrate that Blockchain has a distinct value and identity beyond cryptocurrencies – providing foundational support for the second generation of academic work on Blockchain. However, a relatively low estimated long-term growth rate suggests that the benefits of Blockchain may take a long time to be fully realised.
Originality/value
The authors contribute to an emerging academic literature on Blockchain and to a more established literature exploring the use of Google data within business analytics. Their original contribution is to quantify the business value of Blockchain and related technologies using Google Trends
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Seshadev Sahoo and Rishita Raj
The academic research into underpricing of initial public offerings (IPOs) offers many explanations, i.e. signalling, financial and market hypothesis. However, another set of…
Abstract
Purpose
The academic research into underpricing of initial public offerings (IPOs) offers many explanations, i.e. signalling, financial and market hypothesis. However, another set of information, namely, “Qualitative Factors” (along with financial and others), are largely reported by the issuing firms in the prospectus. However, to the best of the authors’ knowledge no such systematic study has been carried out on how firms’ qualitative factors impact the IPO valuation. This paper aims to addresses this gap.
Design/methodology/approach
Using a sample of 82 IPOs issued from 2014 to 2020, we investigate the issuing firm’s pattern of reporting qualitative factors. These qualitative factors are subjected to factor analysis. The authors classify all reported factors across firms into a few categories using principal component analysis. The authors also investigate the impact of these factors on IPO underpricing using OLS regression.
Findings
The authors find that the qualitative information relating to market leadership, established brand image and modern scalable information technology infrastructure significantly influences underpricing. The authors also document that market leadership and brand image are the influential reported quality factors that reduce underpricing. Moreover, location advantage, good customer relationship, established relationship with a client, track record of growth and profitability, experienced promoter and management team failed to influence underpricing.
Originality/value
The outcome of this piece of research offers additional signalling as an attestation of quality for the issue. The authors further argue that the amount of qualitative information disclosed by the managers in the prospectus to support the pricing should not be ignored.
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Faris Elghaish, Sandra Matarneh, M. Reza Hosseini, Algan Tezel, Abdul-Majeed Mahamadu and Firouzeh Taghikhah
Predictive digital twin technology, which amalgamates digital twins (DT), the internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and…
Abstract
Purpose
Predictive digital twin technology, which amalgamates digital twins (DT), the internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and predictive purposes, has demonstrated its effectiveness across a wide array of industries. Nonetheless, there is a conspicuous lack of comprehensive research in the built environment domain. This study endeavours to fill this void by exploring and analysing the capabilities of individual technologies to better understand and develop successful integration use cases.
Design/methodology/approach
This study uses a mixed literature review approach, which involves using bibliometric techniques as well as thematic and critical assessments of 137 relevant academic papers. Three separate lists were created using the Scopus database, covering AI and IoT, as well as DT, since AI and IoT are crucial in creating predictive DT. Clear criteria were applied to create the three lists, including limiting the results to only Q1 journals and English publications from 2019 to 2023, in order to include the most recent and highest quality publications. The collected data for the three technologies was analysed using the bibliometric package in R Studio.
Findings
Findings reveal asymmetric attention to various components of the predictive digital twin’s system. There is a relatively greater body of research on IoT and DT, representing 43 and 47%, respectively. In contrast, direct research on the use of AI for net-zero solutions constitutes only 10%. Similarly, the findings underscore the necessity of integrating these three technologies to develop predictive digital twin solutions for carbon emission prediction.
Practical implications
The results indicate that there is a clear need for more case studies investigating the use of large-scale IoT networks to collect carbon data from buildings and construction sites. Furthermore, the development of advanced and precise AI models is imperative for predicting the production of renewable energy sources and the demand for housing.
Originality/value
This paper makes a significant contribution to the field by providing a strong theoretical foundation. It also serves as a catalyst for future research within this domain. For practitioners and policymakers, this paper offers a reliable point of reference.
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Moon Fai Chan, Nasser Al-Sibani, Salim Al-Huseini, Alkhatib Al-Saadi, Saoud Al-Busaidi, Jawaher Al Kharusi, Nutaila Al Kharusi, Gilles J. Guillemin, Mohammed Al-Abri and Samir Al-Adawi
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…
Abstract
Purpose
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.
Design/methodology/approach
A cross-sectional online survey of 673 out of 1,529 Omanis identified with HLID using the Hikikomori Questionnaire (HQ-25) score of 42+.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic…
Abstract
Purpose
This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.
Design/methodology/approach
This study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.
Findings
Results revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”
Originality/value
This paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.
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Amy Chan Hyung Kim, James Du and Jeffrey James
The purpose of the current research was to examine the different relationships between individuals' sense of community in sport (SCS) cultivated by participating in local sport…
Abstract
Purpose
The purpose of the current research was to examine the different relationships between individuals' sense of community in sport (SCS) cultivated by participating in local sport leagues, social support and health-related psychological outcomes (i.e. depressive symptoms and happiness) based on the participants' involvement level in the tennis league.
Design/methodology/approach
Using participants (n = 150) from local tennis leagues in the Southeastern region of the USA, the authors first conducted an instrument validation procedure to assess the psychometric properties of the included measures, and second, the authors analyzed the proposed multigroup moderated-mediation structural model using component-based partial least squares structural equation modeling with SmartPLS 3 (Ringle et al., 2015).
Findings
The results provide adequate evidence of reliability and validity for both the included reflective and formative constructs. Further, the findings of the proposed moderated-mediation structural model indicated that SCS was positively and significantly associated with social support and happiness while negatively related with depressive symptoms. Social support only mediated the relationship between SCS and happiness. The multigroup analysis results showed significant differences in the relationship between social support and happiness between the least involved group and more involved groups.
Originality/value
The findings of this study indicated that SCS experienced through participation in local sport leagues can develop both the extent and quality of supportive social relationships with other engaging members. One conclusion from the findings is recognizing a need to develop interventions to enhance SCS, social support and health-related psychological outcomes through local sport league participation.
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This study examines the relationship between police culture and support for corruption among Ghanaian police officers.
Abstract
Purpose
This study examines the relationship between police culture and support for corruption among Ghanaian police officers.
Design/methodology/approach
The study draws on data from a survey of 616 police officers across three regions in Ghana. The research questions and hypotheses are addressed through a hierarchical regression analysis.
Findings
The results show that perception of corruption prevalence, lack of deterrence (i.e. perceived oversight measures) and the Upper East Region significantly predicted officers’ support for corruption. Particularly, lack of deterrence was a consistent predictor of support for corruption across different models compared to corruption prevalence. Contrary to previous studies, code of silence was found not to predict officers’ support for corruption.
Originality/value
This paper contributes to the police culture and corruption debate an African perspective, where little research has explored the relationship between police culture and corruption. The code of silence not predicting support for corruption contradicts previous studies and contributes to the debate, literature and theory development.