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The purpose of this study is to examine the impact of a collaboratively designed digital road safety intervention on a sample of young drivers and their self-reported traffic offending behaviours before and after the digital intervention.

This research involved surveying young drivers who shared their driving behaviours and views of police legitimacy through both in-person and online surveys. Analytical methods, including descriptives and hierarchical regressions, were used to examine the differences between participants who received the intervention versus those in a control group. Participants were also separated based on their involvement in a police-led road safety program before the intervention.

The findings of this study indicated that young drivers who received the intervention showed no improvements in their reported offending behaviour immediately following or three months following the delivery of the intervention. However, views of police legitimacy were a significant predictor and correlated with the reported offending behaviour among young drivers.

This study provides critical insights for policymakers and road safety educators by demonstrating the potential and limitations of digital interventions in altering young drivers’ behaviours. The findings suggest that while digital platforms can effectively communicate road safety messages, traditional face-to-face methods like the Life Awareness Workshop program may be more impactful in changing behaviours. Policymakers should consider integrating digital interventions with conventional programs to enhance their effectiveness. Additionally, fostering positive views of police legitimacy can be a crucial strategy in encouraging compliance with road rules among young drivers, thereby improving overall road safety.

This research indicates that while the co-design intervention proved promising to ensure that an evidence-based road safety message would be delivered to young drivers in an appropriate manner, in this case, that did not lead to any significant changes in driver behaviour. These results highlight the difficulty in reaching young drivers to affect a behaviour change digitally and indicate that further research is required.

This purpose of this study is to outline an inclusive development strategy for crime prevention interventions. Crime prevention interventions are delivered to the target audience to convey an evidence-based message to dissuade would-be offenders from carrying out crimes. However, rarely is the target audience involved when designing crime prevention interventions.

Using the Delphi method, this paper documents the design of an intervention aimed at improving young drivers’ compliance with road rules, incorporating feedback from both a panel of experts and the target audience of the intervention. While expert feedback guided the content and the context of the intervention, the feedback from the target audience was critical in ensuring that effective delivery and messaging of the crafted intervention would occur.

By drawing on expert and experiential insights, this exploratory method of intervention design provided a simple and effective way of ensuring the effective delivery of a crime prevention message.

Although this study focussed on a road safety intervention, the crime prevention applications of this method are broad.

This paper outlines a collaborative methodology that utilises expert and experiential knowledge towards the design and development of a crime prevention intervention, in this case, targeted at young drivers.

Since the introduction of product certification in the 1980s, fair trade has grown apart from its social justice roots and the focus has steadily shifted away from calls for institutional market reform, corporate accountability, and fair prices, and toward a celebratory embrace of poverty alleviation and income growth through market integration and business partnerships. This paper examines fair trade's narratives of poverty and partnerships, focusing on the brand communication strategies employed by influential fair trade organizations and businesses. These are compared with how fair trade coffee producers in southern Mexico understand and practice partnership, demonstrating some of the ways in which the latter resist narrative framings which position them as entrepreneurial businesspeople first and cooperativistas second. The business partnerships between coffee buyers and producers are highly asymmetrical, and the partnerships that matter most for the Oaxacan coffee farmers are not with global businesses and certifiers, but instead with each other and their producer organizations. These relationships did not originate with fair trade, although, they are, in part, sustained by this system which supports democratically organized producer groups, the sharing of technical and market information, and communal management of the fair trade premium. In contrast to the organizations that certify and market their products, the paper demonstrates how farmers regard their precarious economic circumstances as an issue of social justice to be addressed through increased state support rather than market empowerment. The analytical juxtaposition of farmers' attitudes with fair trade organizational priorities contributes to the expanding literature examining how fair trade policies are experienced on the ground.

In the present study, we examined how effectively online travel agencies (OTAs) handle negative e-word-of-mouth on social media platforms like Facebook, Twitter, and Instagram. We collected data from 497 participants using survey method. To test the hypotheses formulated from the existing literature, structural equation modeling was adopted in this study. The results from structural equation modeling indicate effective handling of the negative e-word of mouth (e-WOM) on social media websites significantly affects customer satisfaction and repurchase intention. The current research work provides insight into social media recovery efforts and service fairness when handling negative e-WOM. The study recommends that customers can distinguish the differences between general efforts and adaptive complaint-handling efforts, and dissimilarities may influence satisfaction, repurchase intentions, etc. Although empathy, apology, responsiveness, and paraphrasing are considered pioneer strategies in complaint handling, customers' negative e-WOM, and firms' recovery management, but the current study is among a few to categorize OTAs' handling of negative e-WOM and complaint handling efforts in the social media environment.

With the popularity of paid apps and increasing concerns about privacy hazards, this paper aims to investigate the impact of mobile services’ fee-charging models on consumers’ privacy concerns, and generate insights for app developers’ fee-charging strategies.

Three experimental studies including 550 participants were conducted. All studies were between-subjects designs and based on the context of financial mobile services. The implementations of fee-charging models were manipulated by both visualized and test-based stimuli.

The results reveal that consumers are less concerned about potential privacy violations when using subscription-based (vs. purchase-based) financial mobile services (study 1). This effect is mediated by consumers’ perceptions that app developers that charge subscription fees (vs. one-off prices) are more likely to be consumer-serving motivated (study 2 and 3).

This paper advances the current understanding of consumer response toward paid apps, by proposing and testing a novel attribution-based mechanism to explain why the implementation of a subscription-based versus purchase-based fee-charging model can result in more favorable consumer reactions. Furthermore, this paper identifies the implementation of contrasting fee-charging models as a market-related factor that affects the extent to which consumers are concerned about potential privacy violations, extending extant literature on consumer privacy concern.

The preponderance of studies that rely on self-report for both independent (e.g. stressors) and dependent (e.g. well-being) variables is often deplored, as it creates problems of common method variance, which may lead to inflated, or even spurious, correlations and predictions. It is sometimes suggested that alternative measures should yield more “objective” information on the phenomena under investigation. We discuss this issue with regard to: (a) observational measures of working conditions; (b) physiological measures of strain; and (c) event-based “self-observation” on a micro-level. We argue that these methods are not necessarily “objective.” Like self-report, they are influenced by a plethora of factors; and measurement artifacts can easily be produced. All this can make their interpretation quite difficult, and the conclusion that lack of convergence with self-report automatically invalidates self-report is not necessarily warranted. Especially with regard to physiological measures, one has to keep in mind that they refer to a different response level that follows its own laws and is only loosely coupled with psychological responses. Therefore, replacement is not a promising way to get more reliable estimates of stressor-strain relationships. We argue instead that each method contains both substantive and error variance, and that a combination of various methods seems more auspicious. After discussing advantages and pitfalls of observational, physiological, and self-observational measures, respectively, we report empirical examples from our own research on each of these methods, which are meant to illustrate both the advantages and the problems associated with them. They strengthen the overall conclusion that there is no “substitute” for self-report (which often is necessary to be able to interpret data from other methods, most notably physiological ones). They also illustrate that collecting such data is quite cumbersome, and that a number of conditions have to be carefully considered before using them, and we report some problems we encountered in this research. Altogether, we conclude that self-report measures, if carefully constructed, are better than their reputation, but that the optimal way is to complement them with other measures.

Transport shapes the health of urban populations. It can support healthy behaviours such as participation in regular physical activity and access to community connection. Transport systems can also have major negative impacts on health. For example, through air pollution from fossil fuel-based modes of travel, the risk of injury and death from transport related collisions, and in the way sedentary modes of travelling can contribute to less physically active lifestyles.

This chapter considers the long-term impact of the pandemic on a series of well-researched transport-related health outcomes. It first describes the established connections between transport and health. It then considers the future implications of three potential pandemic-induced shifts: the increased uptake of working from home (WFH); decreased usage of public transport and increased interest in walking and cycling in the local neighbourhood. The impacts of these shifts on the transport-health nexus are then discussed, revealing both positive and negative outcomes. The authors conclude by providing policy recommendations to mitigate possible negative outcomes and strengthen the positive consequences into the future.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The purpose of this research is to propose a framework for research on Macaulay duration and establish future research directions.

Thematic, bibliometric and content analyses have been used to review 168 research papers published between 1938 and 2019 taken from ISI Web of Science and Scopus contributed by leading authors, journals and regulatory bodies.

Identification and integration of themes of duration theory, duration model development and duration model implementation leading to unattended research gaps, and framework for research on Macaulay duration.

The study is based on an extensive review of the literature to extract important themes, research gaps and frameworks. It does not empirically investigate significance of Macaulay duration and various sectors.

This research has several aspects that are helpful for practitioners. Macaulay duration has been the subject of empirical research only without any guiding framework. This research provides a platform to initiate profound researches in various areas of finance. Various proposed models are required to be tested under holistic approach in conventional and emerging fields, especially in Islamic settings.

This research highlights, research themes leading to framework, research gaps and factors that are crucial in developing, extending and testing duration models leading to enhancement of theoretical base of Macaulay duration.