Search results

The purpose of this paper is to characterize distracted driving by quantifying the response time and response intensity to an emergency stop using the driver’s physiological states.

Field tests with 17 participants were conducted in the connected and automated vehicle test field. All participants were required to prioritize their primary driving tasks while a secondary nondriving task was asked to be executed. Demographic data, vehicle trajectory data and various physiological data were recorded through a biosignalsplux signal data acquisition toolkit, such as electrocardiograph for heart rate, electromyography for muscle strength, electrodermal activity for skin conductance and force-sensing resistor for braking pressure.

This study quantified the psychophysiological responses of the driver who returns to the primary driving task from the secondary nondriving task when an emergency occurs. The results provided a prototype analysis of the time required for making a decision in the context of advanced driver assistance systems or for rebuilding the situational awareness in future automated vehicles when a driver’s take-over maneuver is needed.

The hypothesis is that the secondary task will result in a higher mental workload and a prolonged reaction time. Therefore, the driver states in distracted driving are significantly different than in regular driving, the physiological signal improves measuring the brake response time and distraction levels and brake intensity can be expressed as functions of driver demographics. To the best of the authors’ knowledge, this is the first study using psychophysiological measures to quantify a driver’s response to an emergency stop during distracted driving.

Formal structured leadership training is increasingly incorporated as a regular fixture in developed nations to produce competent leaders to ensure the provision of quality patient care. However, most low- and middle-income countries (LMICs) rely on one-off external training opportunities for selected individuals as they lack the necessary resources to implement long-term training for a wider pool of potential health care leaders. This case study shares the establishment process of the Talent Grooming Programme for technical health care professionals (TGP), a three-year in-house leadership training programme specially targeted at potential health care leaders in Malaysia.

This case study aims to share a comprehensive overview of the ideation, conceptualisation and implementation of TGP. The authors also outlined its impact from the individual and organisational perspectives, besides highlighting the lessons learned and recommendations for the way forward.

TGP set out to deliver experiential learning focusing on formal training, workplace experiences, practical reflection and mentoring by supervisors and other esteemed leaders to fulfil the five competency domains of leadership, organisational governance, communication and relationship, professional values and personal values. The successes and challenges in TGP programme delivery, post-training assessment, outcome evaluation and programme sustainability were outlined.

The authors’ experience in setting up TGP provided valuable learning points for other leadership development programme providers. As for any development programme, a continuous evaluation is vital to ensure its relevance and sustainability.

Certain aspects of TGP establishment can be referenced and modified to adapt to country-specific settings for others to develop similar leadership programme, especially those in LMICs.

To examine demographic factors and travel motivations among leisure tourists in Tanzania. Specifically by examining the influence of demographic factors on travel motivation among local and international leisure tourists in Tanzania.

Approach is quantitative and applied descriptive statistics, independent t-test and ANOVA.

The findings showed that age, gender and family size as demographic factors significantly influenced travel motivation among local and international leisure tourists.

Future studies to consider different approaches including collection of data during the peak season, use qualitative method and conduct studies in other parts of the country to explore demographic factors and travel motivations of tourists.

To assist tourism stakeholders in their design of promotional tools to market tourism products/services to different tourists as opposed to homogeneous marketing campaigns.

Examined the influence of demographic factors and travel motivation among local and international leisure tourists in the context of Tanzania.

The implementation of mobile health (mHealth) in developing countries seems to be stuck in a pattern of successive pilot studies that struggle for mainstream implementation. This study addresses the research question: what existing health-related structures, properties and practices are presented by rural areas of developing countries that might inhibit the implementation of mHealth initiatives?

This study was conducted using a socio-material approach, based on an exploratory case study in West Africa. Interviews and participant observation were used to gather data. A thematic analysis identified important social and material agencies, practices and imbrications which may limit the effectiveness of mHealth apps in the region.

Findings show that, while urban healthcare is highly structured, best practice-led, rural healthcare relies on peer-based knowledge sharing, and community support. This has implications for the enacted materiality of mobile technologies. While urban actors see mHealth as a tool for automation and the enforcement of responsible healthcare best practice, rural actors see mHealth as a tool for greater interconnectivity and independent, decentralised care.

This study has two significant limitations. First, the study focussed on a region where technology-enabled guideline-driven treatment is the main mHealth concern. Second, consistent with the exploratory nature of this study, the qualitative methodology and the single-case design, the study makes no claim to statistical generalisability.

To the authors' knowledge, this is the first study to adopt a socio-material view that considers existing structures and practices that may influence the widespread adoption and assimilation of a new mHealth app. This helps identify contextual challenges that are limiting the potential of mHealth to improve outcomes in rural areas of developing countries.

China is not only the biggest importing country of the raw materials of forest products, but also the biggest exporting country of intermediate and final forest products. The paper aims to discuss these issues.

The authors use the Khandelwal (2010) method and trade data from 2000 to 2014 of bilateral forest products between China and ten main developed countries to evaluate the quality of China’s forestry imports and exports. Subsequently, the influencing factors of product quality are analyzed.

The results show that the current export quality of plywood and fiberboard is decreasing, and the export quality of particleboard and paper products is on the rise. A further study finds that several factors have the positive effects on the quality of forestry exports, including gross domestic product of the importing country, forestry export value of the importing country as well as the number of forestry higher education graduates of the exporting country. Moreover, the study also finds that the status of an Asia-Pacific Economic Cooperation member has a negative effect on the quality of forestry exports, while the distance cost has a negative influence on fiberboard, paper and paperboard.

The study suggests that China needs to strengthen the research and development investment on forest products, and improve the quality of forest products to promote the trade development of forestry exports.

The existing literature has not shown much research regarding the quality of China’s forestry exports through econometric analysis. Therefore, the research results provide new perspective about the influencing factors on China’s forestry trade activities.

This study aims to explore the relationship between social commerce purchase intention and consumer psychological factors (i.e. resilience, vulnerability and personality traits) during the COVID-19 pandemic.

Drawing on social cognitive theory (SCT), an econometrical behavioral model was developed to explore the key determinants of online purchase behavior of 303 students in Greece. The research data were collected with a two-wave online survey (pre- and during the pandemic) which was distributed randomly to students in Generation Z.

A series of regression analyses revealed a positive effect of openness and a negative impact of extraversion and neuroticism on internet, Instagram and Facebook purchases during the pandemic. Findings suggest that loneliness serves as a moderator, while resilience and vulnerability have a positive effect on social media purchase behavior.

This study provides insights and implications for social commerce marketers and sheds light on the determinants of online purchase intentions of young consumers during the COVID-19 pandemic.

Elaborating on SCT, this study provides novel insights into young consumers’ internet use and online purchase behavior during the COVID-19 pandemic (i.e. longitudinal approach), by focusing on consumer vulnerability and resilience while also embedding personality traits and mental health aspects (i.e. loneliness levels during the pandemic).