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Recently, the sharing economy has attracted considerable attention. This emerging paradigm is driven by powerful technological forces and has the potential to change the way consumers access very important markets such as the car market. Indeed, access-based consumption may attract more participants as it enables consumers’ freedom of lifestyle and more flexible identity projects. The empirical literature has so far paid very little attention to car sharing services; when it has, it has focussed mainly on people who are already using them. The purpose of this paper is to consider the drivers behind the adoption intention of car sharing services.

A large multinational survey is carried out in three European capitals: London, Madrid and Paris. Using quota sampling, 2,159 licensed car drivers are recruited through the online panel of TNS Sofres. The sample is representative of the population of licensed car drivers in each city. The questionnaire is developed using established scales from previous research. An OLS regression analysis is performed to test our hypotheses, with a likelihood of choosing a car sharing option as the dependent variable.

The study demonstrates that knowledge, environmentalism, possession-self link and involvement with cars are important determinants of consumer behaviour in the car sharing services market. In addition, the user demographics suggest a target market of younger, predominantly male and urban customers. The empirical findings are consistent across the three capital cities, implying that providers can market their car sharing services in a similar manner.

As important determinants of consumer behaviour in the car sharing services market are underlined, several managerial implications arise from the study. Car sharing providers should promote awareness to help people not only to expand their experience with the service but also to be informed about the potential environmental benefits. Further, a stronger possession-self link in the automotive context is suggestive of a greater willingness to use car sharing systems. Managers should also take into account that it is much more difficult to engage individuals in car sharing services who are highly involved with car, than those who express very little attachment to the product. As people under 45 years old are far more likely to use these services, this generation effect is progressively moving the frontiers of the car retailing sector to a broader mobility service sector.

The foremost contribution of this paper is to demonstrate empirically how consumer intention to use car sharing is driven. To do so, the study addresses the general population of car drivers, interviewing users of the service as well as non-users.

The purpose of this paper is to analyze the characteristics of closed car-sharing services and present the relevant factors to provide reasonable service locations. Car-sharing service locations have been arranged to allow customers to easily access locations. However, the particular car-sharing service in this study, enforced through an agreement between residents of the House of Commons, is operated as a closed service, limited to public housing residents. This closed car-sharing service in the House of Commons differs from typical services in that, after use, the users return the vehicle to the same parking location. In addition, determination of the general car-sharing locations is based on the profits of the service operator. The service can be stopped as there are a number of other alternatives for mobility. However, if the closed car-sharing service in the House of Commons is canceled, there is no other alternative for existing users. Therefore, the site selection for the initial introduction of the House of Commons in a closed car-sharing service is a very important issue.

This study uses nine months of data from 39 complexes for location analysis for public housing residents in urban areas. The LH Happy Carsharing is a closed private service, used by people residing within approximately 50 rental LH-apartment complexes. As closed car sharing is unfavorable in comparison to other car-sharing services, it is important to demonstrate that the service can succeed in securing a sufficient amount of users. To analyze the viability and usage of the service, the authors have considered ten potential variables.

On the basis of the regression analysis result, the adopted significant variables are the number of households, the percentage of residents in the 40’s age group and the number of households with registered vehicles.

In general, for car-sharing research, specific user groups are not generally identified. However, LH Happy Carsharing is specifically targeted to residents in rental apartments. The LH Happy Carsharing is a private service, used by people residing within approximately 50 rental LH Apartment complexes. Since closed carsharing is unfavorable in comparison to other carsharing services, it is important to demonstrate that the service can succeed in securing a sufficient amount of users. Therefore, this study aims to analyze the characteristics of private carsharing and present the relevant factors to provide reasonable service locations.

The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern.

An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model.

Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services.

While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

New mobility services, referred to here as car sharing services with electric vehicles fuelled by renewable energies, could serve as an essential part of energy and climate strategies to lessen the impact of transport. However operating a car sharing scheme with electric vehicles is more expensive and offers users less autonomy than car sharing powered by internal combustion engines. Thus municipalities and operators need to answer one critical question: how to identify and address target groups to make the scheme successful?

We focus on user requirements and attitudes towards services that integrate electric vehicles and public transport. Firstly we argue, based on an extensive literature analysis, that attitude-based market segmentation is crucial for a successful implementation of integrated e-mobility services. In the literature review we compare 23 empirical studies that employ a segmentation approach concerning their content and methodologies. Secondly, we address this need by presenting a methodology to derive attitude-based mobility typologies developed during a two-year field trial of an e-car sharing service in Berlin (Germany).

We share results from a representative market segmentation survey in Berlin, Frankfurt, Hamburg and Munich (n = 2,400). Among the six clusters, six attitude-based mobility typologies, we separated three groups specifically inclined to use mobility services: ‘the innovative technology-loving multioptionals’ (20% of the sample), ‘flexible car-lovers’ (21%) and ‘the ecological bicycle and Public Transit-lovers’ (17%).

Attitude-based approaches like the one used in this study could support the development of integrated mobility services by adding the view of a specific target group. A range of approaches exist which use different kinds of item batteries to measure mobility related attitudes with the aim to develop target group specific services.

This study will provide essential information for the development of policies and interventions in support of new mobility services.

Marketing, entrepreneurship, operations management, and transportation/logistics.

The case is suitable for junior, senior undergraduate and first-year graduate business classes. It can be used entirely in business classes in marketing, entrepreneurship, operations management, and transportation/logistics, and parts of it can be used for discussions in classes related to emerging economies/markets, environmental management, sustainability, and technology management.

The case builds on the expansion plan considered by a young software company, called Hangzhou Omnipay located in the city of Hangzhou, China. Mr Chao, Vice President (VP) of Omnipay, is the main character of the case. He was aware of the current car-sharing industry leader – Zipcar headquartered in Boston and also identified multiple stakeholders in the city for decision making. By collaborating with a global student project team, Mr Chao collected a great deal of information and data. This teaching case provides students and educators ample opportunities to examine, from a multitude of aspects, the viability of a car-sharing service in Hangzhou.

The central goal is to help students gain a comprehensive understanding of the role of car-sharing service in a country's development in sustainability, socio-economy, environmental commitment, and new urban life style, as well as in a technological company's active pursuit of business expansion opportunity. In addition, students will not only understand the social, cultural, technological and strategic perspectives of car-sharing service implementation, but also develop and enhance analytic skills needed to conduct fundamental cost analysis, determine a base-line pricing scheme, and service location network design.

Teaching notes are available, please contact your librarian for access.

To assess how advances in technology are changing the market prospects for paratransit, particularly DRT services.

To review recent developments in technology-enabled paratransit service through their impact on the supply curve for local transportation.

Some technology-enabled paratransit services, notably one-way car sharing and shared ride services offered by transportation network companies (TNCs), have been successful in generating significant usage within the past 24 months in Europe as well as the United States. At the same time, the introduction of technological advances in a comprehensive technology platform used for general public DRT services in Denver has not resulted in a ridership response of a large magnitude. Similarly, technology-enabled micro-transit services have had difficulty attracting sustainable levels of ridership. This suggests only some packages of technological innovations are able to shift the transportation supply curve. The key appears to be the development of a comprehensive technology platform which makes the new service simple and convenient to engage, use, and pay for; it is also highly advantageous if the service is less costly to the end user than existing alternatives.

Technology-enabled improvements of paratransit/DRT services are feasible and increasingly available, but the evidence shows that only when the use of technology significantly shifts the supply curve for local transportation that major impacts occur.

To provide concrete evidence as to the circumstances in which technology can make a significant impact on paratransit’s market prospects, but also identifies some of the limits to technology being able to create such impacts.

The paper aims to examine the nature and scale of the sustainability value of car sharing and to identify, through consumer analysis, the contextual and consumer factors of success of car subscription as a business model.

The study evaluates the car sharing model against the sustainable development goals defined by the United Nations in 2019. Individual interviews were performed for preliminary understanding of the factors affecting consumers' choices. Subsequently, through two phases of data collection, factor analysis and path model analysis were performed to identify and confirm latent factors. Consumer market segmentation was performed using cluster analysis.

Car sharing was found to have an overall positive net impact, with certain potential negative dimensions. Willingness, financial affordability, location and experience were identified as the key factors of consumers opting for car subscriptions. The findings further highlight the significant business potentialities of car subscription in India, consequent also to consumers' attitudes toward car ownership.

The research has substantial implications for both society and business, with the former being presented with an innovative sustainable means of transportation, and the latter with the elements of success of an entrepreneurial business model to support the former.

The study is a pioneer in objectively evaluating and prescribing positive social and business value creation for and through car subscription in India, based on consumer analysis.

Collaborative consumption, such as car sharing, specifically implicates customer-to-customer interaction, which must be regulated by service providers (companies, peers and self-regulating communities), comprising different challenges for business organizations. While in conventional business relations, consumers are protected from undesirable customer behavior by laws, regulations (power) in the context of collaborative consumption are rare, so that trust becomes more relevant. It is the purpose of the study to investigate possible mechanisms to prevent undesirable customers in collaborative consumption.

In between subject designs, samples of 186 and 328 consumers filled in experimental online questionnaires with vignettes. Analyses were made of differences among car sharing companies, private persons and car sharing communities in terms of the power of providers, trust in providers and trust in other users of the shared goods, undesirable customer behavior and consumer–provider relations.

Companies, private persons and self-regulating communities differ in terms of perceived power and trust. Participants specifically perceive mainly coercive power with the car sharing company, but with the private person and the community, reason-based trust in other users is perceived as prevalent. Nevertheless, undesirable customer behavior varies only marginally over the models.

The present study is the first to investigate measures to prevent undesirable customer behavior over different collaborative consumption models. This enables appropriate identification of market segments and tailoring of services. The study identifies opportunities for companies in contrast to private persons and self-regulating communities and, in doing so, provides important stimulation for marketing strategy and theory development.