Search results

This paper aims to address a gap in investigating specific impacts of climate change on mental health in the Pacific region, a region prone to extreme events. This paper reports on a study on the connections between climate change, public health, extreme weather and climate events (EWEs), livelihoods and mental health, focusing on the Pacific region Islands countries.

This paper deploys two main methods. The first is a bibliometric analysis to understand the state of the literature. For example, the input data for term co-occurrence analysis using VOSviewer is bibliometric data of publications downloaded from Scopus. The second method describes case studies, which outline some of the EWEs the region has faced, which have also impacted mental health.

The results suggest that the increased frequency of EWEs in the region contributes to a greater incidence of mental health problems. These, in turn, are associated with a relatively low level of resilience and greater vulnerability. The findings illustrate the need for improvements in the public health systems of Pacific nations so that they are in a better position to cope with the pressures posed by a changing environment.

This paper contributes to the current literature by identifying the links between climate change, extreme events, environmental health and mental health consequences in the Pacific Region. It calls for greater awareness of the subject matter of mental health among public health professionals so that they may be better able to recognise the symptoms and relate them to their climate-related causes and co-determinant factors.

This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with this issue, to ease the extension of our understanding with future research.

In this paper, keywords such as “CQA”, “Social Question Answering”, “expert recommendation”, “question routing” and “expert finding” are used to search major digital libraries. The final sample includes a list of 83 relevant articles authored in academia as well as industry that have been published from January 1, 2008 to March 1, 2019.

This study proposes a comprehensive framework to categorize extant studies into three broad areas of CQA expert recommendation research: understanding profile modeling, recommendation approaches and recommendation system impacts.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, it was found that conflicting and contradictory research results and research gaps in the existing research, and then put forward the urgent research topics.

The purpose of this study was to examine how participants experienced and perceived an M.Ed. program that had a school-based design. In particular, the authors sought to understand: (1) how participants experienced being in a school-based cohort and (2) whether and how participants experienced the three designated tenets of the M.Ed. program: teacher inquiry, social justice and student engagement and motivation.

This qualitative study used semi-structured focus group interviews (n = 7) to examine teachers’ perceptions, using a constant comparative method (Corbin & Strauss, 2008) of open coding to analyze the data and determine emergent themes.

The findings indicate the design of this school-based M.Ed. program provided both social and academic benefits including strengthening teachers’ working relationships and their understanding of students outside their own classroom and a transfer from individual learning to organizational benefit. Teachers positively perceived the three tenets that guided the first year of the program, especially the ability to study social justice and student motivation in depth.

This study has implications for teacher education and retention as well as how boundary spanning roles in PDS schools can impact graduate students’ experiences in schools. Given the current teacher shortage concerns, it is important to understand how M.Ed. programs can be designed with teacher needs at the forefront so learning is relevant and rewarding, both to the individual and the school.

While there are many studies that examine the use of cohorts in education, particularly in doctoral programs, few, if any, studies examine a school-based cohort M.Ed. program for practicing teachers. This study also puts a unique spotlight on how boundary-spanning roles can benefit not only teacher candidates but also practicing teachers in their M.Ed. programs.

What is the relation between the land system with Chinese characteristics and the country's high-speed economic growth in the past decades? There is a lack of rigorous academic research based on the general equilibrium theory of macroeconomics on this issue.

By building a multisector dynamic general equilibrium framework with land system, this paper explores how the land supply mode with Chinese characteristics affects China's economic growth as well as its transmission mechanism.

This paper confirms the importance of land system with Chinese characteristics in explaining the mystery of China's high-speed economic growth. Counterfactual analysis shows that if China adopts a land system similar to that of other developing countries, GDP will drop 36% from the current level under the baseline model.

As the industrial sector shrinks relatively and the output elasticity of infrastructure decreases, this inhibitory effect will become more apparent. China should improve its land supply mode, especially expand the supply of commercial and residential land and reduce the cost of land in the service sector. This can promote better economic development in the future and thus improve household welfare and the structure of aggregate demand, replace “land-based public finance” and thus inhibit the “high leverage” risks of local governments.

This paper aims to investigate advertising effectiveness in Instagram and Facebook, the two most important social media platforms. It helps to understand which should be chosen depending on the target audience of the campaign.

The study examines advertising effectiveness in these social media in terms of ad attitude, ad intrusiveness and loyalty intentions. An online survey was conducted with 303 social media users. Age and gender are proposed as moderators.

The results indicate that Instagram Stories not only enhances consumer attitude toward ads but also increases perceived intrusiveness, compared to Facebook Wall. Millennials are more disturbed by Facebook Wall ads than non-millennial users. A triple interaction effect reveals that non-millennial men are more loyal toward Facebook Wall ads, whereas millennials of both genders and non-millennial women are more loyal to ads on Instagram Stories.

Advertisers should be aware of the differential features and segmentation possibilities in social media to better address their target audiences. More precisely, the research findings suggest that professionals should focus on Instagram Stories when targeting millennials and non-millennial women, and on Facebook Wall when targeting non-millennial men.

This study is one of the first to contribute to the literature on Instagram Stories as an advertising platform and compare its differential features with those of more established social media, such as Facebook Wall.

Esta investigación compara la efectividad publicitaria en Instagram y Facebook en función del público objetivo.

La investigación analiza las diferencias entre cada formato de red social en términos de actitud hacia el anuncio, intrusividad percibida y lealtad hacia el producto o marca anunciado. Mediante una encuesta online a 303 consumidores, se proponen efectos directos y efectos moderación de la edad y el género.

Los resultados indican que Instagram Stories mejora la actitud hacía el anuncio, pero aumenta también la intrusividad en comparación con Facebook Wall. La publicidad en Facebook Wall es más intrusiva para los millennials que para los no-millennials. Instagram Stories incrementa la lealtad entre los usuarios millennial de ambos sexos y las mujeres no-millennial; en cambio, los hombres no-millennial son más leales a la publicidad en Facebook Wall.

Los anunciantes deben aprovechar los nuevos formatos y las posibilidades de segmentación que les brindan las redes sociales para llegar a su público objetivo de manera más efectiva. Concretamente, los hallazgos de la investigación sugieren que deberían centrarse en Instagram Stories para dirigirse a un público millennial y a mujeres no-millennial; y en Facebook Wall, cuando su público objetivo sean los hombres no-millennial.

Este estudio es uno de los primeros que aborda el uso de Instagram Stories como soporte publicitario y lo compara con formatos publicitarios consolidados como Facebook Wall.

The aim of this study was threefold: to examine companies' e-mail handling performance, to ascertain whether companies' view corporate websites and respond to e-mail requests as mutually exclusive or complementary, and finally to gauge the strategic importance of retail investors.

The findings are based on an analysis of the corporate websites and e-mail handling performance of the 77 smallest companies listed on a South African stock exchange. A “mystery investor” approach was employed to measure companies' e-mail handling performance in terms of responsiveness, timeliness and relevance of responses. A disclosure score was calculated for each company based on a content analysis of corporate websites.

The opportunity for improvement exists, as evidenced in the fact that only 53% of companies responded to an e-mail request from a retail investor. The results suggest that corporate websites and the e-mail functionality are not used in isolation but as complementary. Although the results suggest that companies neglect retail investors, companies that provided a dedicated investor relations (IR) contact address prioritised both their corporate websites aimed to a wide range of stakeholders, as well as responding to an e-mail request received from a retail investor.

This study contributes to research on the association between one-way and two-way communication channels, aimed at retail investors. It is the first study to explore these relationships using data from the smallest companies listed on the stock exchange of an emerging economy.

The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions.

The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health.

The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs.

The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

This study explores the different learning practices of Chinese incubators in Chongqing and Chengdu and delves into how these “learning huddles” influence incubatees' absorptive capacity (the ability to apply knowledge) to improve their chance of success (sustainable growth).

This explorative study uses a qualitative case study approach by means of semi-structured interviews with business incubation managers and incubatees across three business incubators in Chengdu and Chongqing. The data are transcribed, coded and analyzed using an analytic map for the explanation of building and reflecting on the theoretical propositions, leading to a further understanding of the “learning huddle” mechanism.

The study finds that incubatees perceive that their absorptive capacity is increased through vicarious informal learning practices that promote access to networks and thereby builds social capital to improve their likelihood of success.

This study has limitations in sample size and design. The explorative case study approach uses a nonrandom case selection of three incubators in Chongqing and Chengdu and has a limited number of interviewees, which may lack representation of the general Chinese business incubation population and may not sufficiently be generalized beyond the sample itself.

These findings have important implications for business incubation programs. Business incubators that build learning huddles (networks) create a nurturing shared learning environment, which is suitable for incubatees to collectively absorb knowledge at the early stage of their life cycle and improve their likelihood of sustainable growth.

Since this study is limited to a Chinese context, it is also hoped that future researchers use the typology of business incubator learning practices to explore cross-culture variables, as these may influence the business incubation operations and performance.

This study adds to the discussion on how collective learning practices facilitate absorptive capacity and build social capital, which in turn improves incubatees' chance of sustainable growth and as such the authors hope that the learning practice's typology and how incubatees determine their success stimulates further research for measuring the likelihood of incubatees sustainable growth.

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Knowledge graph is used to implement the rim chain.

Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue.

This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics.

Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot.

Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.