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The purpose of this paper is to examine use and sharing economy (SE) continuance intention, and the mediation effects of use between individuals' motivations and SE continuance intention. A theoretical model is developed to explain use and SE continuance intention as intrinsic and extrinsic motivated behaviour, as proposed by self-determination theory. Factors are derived from SE context and supported by published research on SE.

The partial least squares path modelling (PLS-PM) technique is used to test the model in a quantitative study involving 256 users of SE services.

Findings suggest that use and SE continuance can be explained by concurrent intrinsic and extrinsic motivations. Moreover, high environmental concerns may restrain the use of SE services. Findings show that continuance intention is influenced by current use of SE services. Moreover, the study emphasizes the mediation effect of use between intrinsic and extrinsic motivation and SE continuance intention.

The analysis of use behaviour should be complemented with other measures of use and with data provided by qualitative methods of research. Further research should also consider the effect of different control variables and mediation effects.

Brand managers and companies providing services through digital platforms should address individuals' needs in order to stimulate voluntary engagement in persistent SE practices.

This study informs the consumer in general so that the SE can develop its potential alongside an economy based on the ownership of private property.

This study extends findings on continuance intention research by offering internal motivation factors as predictors of post-adoption behaviour and emphasizes the role of use on SE continuance intention.

The purpose of this paper is to explore regulatory issues of short-term rentals (STR) and evaluate what constitutes effective regulation of STR by analyzing the STR ordinance in the City of Charleston, South Carolina, as well as reviewing the regulation process the City took.

In this case study, the study employed a documentary research method (Ahmed, 2010) using multiple sources, including government documents, historical statistics and local publications. Prior to analyzing documents, face-to-face interviews with a couple of key government officials were conducted to understand the overall context of the regulation processes as well as to obtain primary information and data pertaining to Charleston’s STR regulation processes.

The study identified three noteworthy points. First, the legalization process was transparent and democratic; opportunities for stakeholder participation in crafting the Charleston’s ordinance included the establishment of the STR Task Force and public listening sessions. Second, the Charleston’s STR regulation is designed to protect non-participating residents and the historic characters of its neighborhoods; several measures (e.g. strict eligibility, operational restrictions, licensing and permitting, enforcement) protect non-participants and the neighborhood overall, while the City allows STR to be legal. Third, there is a unique enforcement mechanism and tourism-related governance structure; dedicated staff in the Department of Livability and Tourism enforce the STR laws in Charleston.

Empirical analysis of the STR regulations has never been established. The study provides useful and timely insights for local governments, destination management organizations, tourism scholars, and stakeholders in tourism cities to advance the discussions and debates around STR regulations.

The purpose of this paper is to empirically assess and compare motivations and moderating factors that influence intention to provide accommodation in two countries, which are different in terms of their culture and IT infrastructure development.

Empirical analysis on the basis of 396 valid questionnaires from two countries allowed finding two different models that explain intentions to provide accommodation in the analyzed environments. Subsequent multilevel modeling disclosed differences between influences on intention to provide accommodation in Turkey and Lithuania.

The results disclosed importance of country contexts in causing diversity between country-specific models and in generating differences of the influences, if the same model for two countries is applied. The most important findings include observed differences in influences of monetary and social motives on intention, as well as in moderations of materialism and mavenism.

Using the self-determination theory as the theoretical background, the study adds to the knowledge on intention to participate in sharing economy from the accommodation providers’ position. Additional value is brought by finding the importance of cultural contexts in the models that describe intentions of accommodation providing in sharing economy.

This paper aims to provide a critical reflection on the impact of the gig economy on the hospitality workforce. The impact of the gig economy on hospitality workforce management is explored, with the paper delving into both theoretical insights and practical implications.

This paper offers reflections on the emerging trend of the gig economy and its impacts on the hospitality workforce, based on evidence collected from the selected literature, industry report and authors’ personal reflections. A micro-meso-macro analytical framework was also applied to assist authors in building the arguments and propositions.

The findings not only revealed the impacts of the gig economy on the hospitality workforce at micro-meso-macro levels but also underscored its close relationships with various concepts in the hospitality management literature. Both future research directions and practical implications are provided.

Amid the gig economy’s transformative influence, stakeholders must continually innovate for an empowering and secure work environment. A holistic approach is necessary to establish a harmonious gig ecosystem, ensuring fair treatment, benefits and protection for workers while fostering growth and well-being.

Throughout the paper, a critical reflection on the impact of the gig economy on the hospitality workforce is presented, along with suggestions for coping with current labor issues in hospitality and tourism. Future research directions are outlined.

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.

Technological innovations such as smart mobile devices and mobile applications gave rise to a new business model: collaborative consumption. This business model, which is receiving significant attention from researchers and practitioners, is characterized by an intermediating digital platform that facilitates exchanges between customers and peer service providers. However, many digital platform providers still fail to build a critical mass of demand and supply. Accordingly, the aim of this research is to develop a better understanding of the barriers perceived by both customers and peer service providers.

This study uses a mixed-method qualitative approach to develop a comprehensive understanding of the factors that explain the rejection of collaborative consumption. In particular, six focus groups and 14 in-depth interviews were conducted, totaling 50 Belgian participants (with a mean age of 33 years). In addition, 375 online critical incidents—retrieved from various sources, such as review websites and social networks—were used for triangulation purposes. All data were analyzed using a thematic analytic approach.

Customers and peer service providers reject collaborative consumption because of a complex set of multidimensional functional and psychological barriers. In particular, actors may perceive barriers related to complexity, value, risk, compatibility, contamination, image, and responsibility, which prevent them from participating in collaborative consumption.

This paper builds theory on the reasons why both customers and peer service providers reject collaborative consumption. The research identifies several barriers that were not captured in prior research. Digital platform providers can use the research findings to more fully understand actors' decision-making processes in collaborative consumption.

The chapter introduces digital food hubs as disruptive business models in the agri-food system shifting away from the unsustainable industrialized and conventional food sector and moving toward a re-localized food and farming pattern. They are new digital business models developed to support small and mid-size farms with a value focus, forming new ways to leverage the technology as a facilitator for coopetitive organizational forms. Indeed, they respond to a competitive strategy constituted by a “value strategy” oriented to the production and distribution of “shared value.” Second, they are based on an “organizational strategy” that shifts from individual competition to “coopetition” through the development of local “strategic networks” among small size producers. Central to the development of these business models is the digital disruption that has offered the space for the creation of unconventional exchange and transaction mechanisms distinguishing them from the already existing traditional ways of work. The agri-food markets exhibit structural holes that impede small farms from connecting with local consumers. This is due to a lack of material infrastructures and organizational forms on behalf of small farms that cannot reach the consumers, as well as the concentration of power in the hands of a restricted numbers of distributors, which causes the unequal redistribution of the economic value and impedes small farms accessing the food market. The advent of the digital technology is reshaping the market relationship by allowing out centralized intermediaries and creating new bridges between producers and consumers.

This research aims to extract Industry 4.0 technological building blocks (TBBs) capable of value generation in collaborative consumption (CC) and the sharing economy (SE). Furthermore, by employing a mixed methodology, this research strives to analyse the relationship amongst TBBs and classify them based on their impact on CC.

Due to the importance of technology for the survival of collaborative consumption in the future, this study suggests a classification of the auxiliary and fundamental Industry 4.0 technologies and their current upgrades, such as the metaverse or non-fungible tokens (NFT). First, by applying a systematic literature review and thematic analysis (SLR-TA), the authors extracted the TBBs that impact on collaborative consumption and SE. Then, using the Bayesian best-worst method (BBWM), TBBs are weighted and classified using experts’ opinions. Eventually, a score function is proposed to measure organisations’ readiness level to adopt Industry 4.0 technologies.

The findings illustrated that virtual reality (VR) plays a vital role in CC and SE. Of the 11 TBBs identified in the CC and SE, VR was selected as the most determinant TBB and metaverse was recognised as the least important. Furthermore, digital twins, big data and VR were labelled as “fundamental”, and metaverse, augmented reality (AR), and additive manufacturing were stamped as “discretional”. Moreover, cyber-physical systems (CPSs) and artificial intelligence (AI) were classified as “auxiliary” technologies.

With an in-depth investigation, this research identifies TBBs of Industry 4.0 with the capability of value generation in CC and SE. To the authors’ knowledge, this is the first research that identifies and examines the TBBs of Industry 4.0 in the CC and SE sectors and examines them. Furthermore, a novel mixed method has identified, weighted and classified pertinent technologies. The score function that measures the readiness level of each company to adopt TBBs in CC and SE is a unique contribution.