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The purpose of this paper is to understand consumer preferences for green vehicles with low fuel consumption and emission. It will examine six important vehicle attributes, including fuel efficiency and CO₂ emissions, and determine the impacts of increasing demand for green attributes on the domestic car industry in Sweden.

Responses to an adaptive choice-based conjoint experiment from a sample of 100 residents in Northern Sweden were analyzed using monotone regression and market simulation.

The authors found that consumer preferences were sensitive to changes in fuel efficiency and emission levels. However, engine power was the most important attribute for existing owners whereas price was the most important one for potential customers, while both market segments valued emission more than fuel efficiency. Also, the domestic producer will benefit from both an increase in market size and market share if all new vehicles have higher fuel efficiency but its market share will decrease if all new vehicles have lower CO₂ emissions.

Although promoting green vehicle purchase is beneficial for the environment, policy makers also need to balance this benefit against any potential adverse effect on the domestic industry and the economy. This study will provide evidence-based recommendations to increase the share of green cars in new vehicle purchase, and thus contribute to improving the environment. Moreover, it will also predict the changes in the market shares of different vehicles, and the potential impact on the domestic automobile manufacturing sector and the economy.

This study will contribute significantly to the understanding of consumer preferences by exploring the preferences of a sample of consumers from a country with a well-established alternative fuel and green car market but has adverse weather and driving conditions and a domestic automobile manufacturing industry. It will also examine the differences in preference between existing owners and potential green car buyers. Finally, it will simulate the effects of changing fuel efficiency and emission levels on consumer utility and preference shares to predict changes in market share of different vehicles, and thus the potential impact on the domestic automobile manufacturing sector and the economy.

Understanding the adoption of m-commerce in small and medium-sized enterprises (SMEs) is critical for their sustainable development. This study aims to investigate the adoption of m-commerce in Vietnamese SMEs, leading to the identification of the critical determinants and their relative importance for m-commerce adoption.

An integrated model is developed by combining the diffusion of innovation theory and the technology–organization–environment framework. Such a model is then tested and validated using structural equation modeling and artificial neural networks in analyzing the survey data.

The study indicates that perceived security is the most critical determinant for m-commerce adoption. It further shows that customer pressure, perceived compatibility, organizational innovativeness, perceived benefits, managers’ IT knowledge, government support and organizational readiness all play a critical role in the adoption of m-commerce in Vietnamese SMEs.

The findings of this study can lead to the formulation of better strategies and policies for promoting the adoption of m-commerce in Vietnamese SMEs. Such findings are also of practical significance for the diffusion of m-commerce in SMEs in other developing countries.

To the best of the authors’ knowledge, this is the first attempt to explore the adoption of m-commerce in Vietnamese SMEs using a hybrid approach. The application of this approach can lead to better understanding of the relative importance of the critical determinants for the adoption of m-commerce in Vietnamese SMEs.

Mobility as a service (MaaS) is a new model of bundling personal transport options from multiple providers to provide frictionless service. The model integrates information and service to enable users to search, book and pay through a single digital platform. The aim of MaaS is to minimize individual car ownership and revolutionize personal mobility habits in favour of sustainable modes. Thus, it is important to understand consumers' readiness for MaaS. This study explains the factors that influence MaaS adoption.

A comprehensive review of the related literature has been conducted, leading to the development of a conceptual model for investigating the key factors that influence MaaS adoption. The model draws upon the digital platform, schema congruity and planned behaviour theories. The model is then tested using structural equation modelling and survey data collected from 331 respondents.

The findings indicate that MaaS information schema congruity, the digital platform's personalizability, customizability, functional integration, network integration and governance of data together with attitude towards MaaS and subjective norm concerning MaaS influence MaaS adoption. Furthermore, MaaS digital platform expectation and MaaS information schema congruity contribute to users' attitude towards MaaS use.

The paper highlights the design and informational attributes of MaaS platforms that influence their adoption and contributes an integrated research model that links digital platform characteristics, behavioural factors and information schema congruity. Future research can use the constructs and measures we developed in this study to build deeper understanding of what contributes to the success of digital platforms.

The post-pandemic recognises changes are required; universities need to rethink their e-servicescapes strategies by offering different approaches to enhance students’ learning. This study aims to draw on learning self-efficacy trajectories and propose a conceptual model for exploring the predictive validity of satisfaction. In addition, it explores the mediating role of e-servicescapes and the moderating relationship effect of mature and younger students.

Learning self-efficacies is incorporated into the design of the model in an attempt to understand student cognition. The influences of e-servicescape on adopting online preferences and satisfaction are also examined. The model was empirically validated by surveying 266 respondents. Structural equation modelling and multi-group analysis were used to analyse the data.

The results of this study show learning self-efficacies has no significant influence on satisfaction. Yet, they showed a significant influence on e-servicescapes. E-servicescapes positively influenced satisfaction and preference for adopting online learning. E-servicescapes also had a mediating effect between self-efficacy to complete a course and satisfaction, as well as self-efficacy to interact with instructors and satisfaction. It had a negative suppressed effect on social interaction.

The research makes the following contributions. Firstly, the conceptualised model identifies an association between learning self-efficacies and e-servicescapes, suggesting universities as service providers can maximise the value offerings of their customer assets. Secondly, e-servicescapes demonstrate a full mediating effect between self-efficacies and satisfaction, indicating that if universities are to compete successfully in dynamic markets, they should co-create value in their e-servicescapes domain to increase satisfaction. Thirdly, the study recognises the need for a hybrid system of both face-to-face and online delivery because the multi-group analysis shows mature age preference for online learning is required to make this transformation successful.

Purpose – Intersections are hazardous locations and to improve their safety we need to understand the factors contributing to crashes at these locations and provide evidence-based recommendations to reduce them. This chapter provides a summary of the findings on infrastructure-related factors contributing to crashes at urban and rural intersections and some discussions on the implications and potential countermeasures.

Approach – A review of the literature on intersection crashes was performed to identify the infrastructure-related crash-contributing factors. Some discussions on the implications and potential countermeasures are then provided.

Findings – The factors contributing to road crashes are diverse and complex. While the safety effects of a few factors (e.g., exposure and speed) are relatively consistent, many factors have different impacts on crash frequency and severity (e.g., types of intersection) and different impacts on urban and rural intersections (e.g., bus stops).

Research Implications – More studies are needed on developing a stronger theoretical or conceptual foundation on the effects of roadway designs and traffic controls on different dimensions of safety (e.g., exposure, frequency, severity, etc.), types of crashes (e.g., head-on, rear-end, etc.) or road users involved (e.g., drivers, pedestrians, cyclists, etc.).

Practical Implications – Transport engineers need to be aware that some treatments may have different effects on different crash types and road users involved. Even though the overall safety may be improved by the treatments designed, they need to consider and mitigate any unintended consequences to satisfy the Pareto improvement principle and the social equity criterion.

The purpose of this paper is to examine the influence of personality traits on the perception of key message characteristics in road safety advertising.

The advertisement uses visual imagery and imagery methods to examine key message characteristics. An online survey questionnaire was used to obtain responses of 947 driver perceptions with various personality traits; and the data are explored using multiple linear-regressions.

The findings of the research indicate the importance of using key message characteristics based upon established scientific theory to developing messages, more particularly in road safety and other social marketing campaigns. The role of personality traits and its relevance also appear to be of primary importance and can be used to segment the market; guide message designs and development, as different personality traits are found to be significant for different message characteristics.

This research varies from preceding efforts as it examines the influence of personality traits on drivers’ perceptions of messages using established scientific theory, and bridging the gap in the research between two main paths of research with reference to fear-based messages: the process that influences an individual response to key messages; and the influences of personality trait differences on message perceptions.

This study extends the knowledge in several essential areas and offers a set of recommendations to assist marketers in developing effective message strategies and segmentation based on personality traits. Besides advancing theory, this study enhances the understanding of how to develop more effective road safety messages that will save lives and prevent injuries.

The growing importance of entrepreneurship is the result of a global awareness of increasing competitiveness in the business environment. In Singapore, the SME Master Plan (1989) emphasises entrepreneurship as “a key component of the strategy to develop Singapore into a major node in global business and a total business centre.” Much has been reported in the press about entrepreneurship. The article “So You Think We've Arrived?” (Straits Times, 3 Jan 1993) says it all. In the past, Singapore had the temporary sensation of plenty and peace. Singapore industrialised and attracted multinational corporations (MNCs) to leap‐frog the region. This has enabled Singapore to grow at a phenomenal rate. Now, the region has awakened. Our neighbours have learned and are now more competitive to demand a share of the market. The challenge for tomorrow is a more competitive business environment. Our Senior Minister, Mr Lee Kuan Yew, has emphasised that about 15 to 20 percent of Singapore's better graduates must venture abroad if Singapore is to become a developed country (Straits Times, 23 Apr. 1993). Thus, the emerging need for an entrepreneurial spirit has begun and is more real now than ever.

Purpose – Urban and suburban arterials carry a large share of urban traffic and contend with a relatively large proportion of transport network crashes. Road crashes and their consequent societal costs diminish the sustainability of transportation systems, highlighting the need to identify road safety problems and their corresponding solutions. This chapter briefly outlines problems and solutions associated with crash risk on urban and suburban arterials. In addition, this chapter studies and discusses several safety countermeasures – ranging from local treatments to integral frameworks – and their effectiveness on improving traffic safety of urban and suburban arterials.

Approach – Crash occurrence on urban and suburban arterials is affected by numerous contributing factors. This chapter pays attention primarily to the effects of traffic characteristics and road design features. In this regard, several pertinent variables which have been extensively examined in the literature are reviewed and their contributions to the safety of urban and suburban arterials are discussed.

Findings – A review of the literature identifies a number of variables as influential factors of crashes on urban and suburban arterials. Although the associations of some variables (e.g., traffic volume) are consistent with expectations, others (e.g., lane width and speed) show mixed and sometimes counterintuitive results. These findings signify that additional research is needed to reveal the correct functional form and magnitude of these relationships.

Practical implications – The results show that while the general direction and magnitude of effects of some engineering and management-related treatments are known, additional research is needed to consolidate the impact and effectiveness of integrated approaches.

This work shows that it is possible to link various economic and property attributes to the value of a commercial property over time in a particular market, and arrive at a valuation pattern which can be used to give a short‐term forecast of valuation fluctuations using longitudinal rather than cross‐sectional analysis. Shows that it is possible to do this by using a novel process we have termed “backtrack valuations” or “backtracking”. The method proposed creates a simulated historic record of valuations, from which a neural network can be trained and then used as a model to estimate a forward trend. This is allied to the requirement in the RICS Appraisal and Valuation Manual (Red Book) whereby the valuer may be instructed to provide Estimated Realisation Price which depends on completion taking place on a future date as compared with Open Market Value where achievement of completion is assumed at the date of valuation. There is also the new definition of “Forecast of Value” in the RICS Red Book and we suggest that the valuer would find the technique of forecasting from backtracked time series of interest and use in both these particular circumstances. The source of data for the investigation was Richard Ellis, International Property Consultants, who provided monthly valuations of 16 major commercial properties in Central London. Our forecasts are presented alongside the subsequent Richard Ellis valuations. The results confirm that in the conditions obtaining in this market, it is feasible to predict capital valuations in the short term. The method is being extended and tested in the wider commercial markets.