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In recent years, much has been discussed about new consumer practices based on the sharing economy. In this context, the purpose of this paper is to map out the international scientific production on sharing economy.

The research adopted a descriptive qualitative approach. Based on a sample of 95 documents collected in the Scopus database, analyses of bibliometric and sociometric indicators were carried out, as well as content analyses were conducted to identify the main thematic categories in the field.

The results show that sharing economy is an emerging topic, and of late, the research in this field has grown rapidly. The study provides a mapping of top journals and authors, works of greatest impact and of co-authorship, co-citation and bibliographic coupling networks, which evidence the low intensity of researcher’s interactions and scientific production dispersion in the field. The main subjects found in the sharing economy literature are determinants, motivations and barriers, sharing economy impacts, regulation, models and frameworks, critical approach and entrepreneurship and sharing-based new businesses.

The analyses did not take into account the timing perspective. Further research could undertake a timeline-based approach in order to present direct citation networks and to relate works according to the year when they were published.

The study innovates by identifying the main subjects in the sharing economy literature, as well as by presenting network analysis for some bibliometric indicators, complementing previous research in the field.

This paper aims at understanding the differences between user profiles in collaborative consumption (CC) platforms in order to improve their management approaches and set up customized strategies. Particularly, the authors investigate the emerging role of prosumers and their influence on the active participation and growth of CC platforms. Moreover, the authors study user experience to help promoting users' recommendation and offering intention.

The sample includes responses from 6,388 users of CC platforms across the EU. The data were collected through the European Commission's Flash Eurobarometer survey 467 and analyzed through a partial least squares structural equation modeling (PLS-SEM) and a fuzzy set qualitative comparative analysis (fsQCA).

The PLS-SEM findings suggest that prosumers are more likely than consumers to recommend and offer services through CC platforms. Furthermore, previous experience using platforms positively affects the switch from consumers to prosumers. The fsQCA suggests that only economic advantages affect the switchover decision.

This study deepens the hitherto unexplored prosumer role in CC platforms and its antecedents and drivers.

The main limitations concern the generalizability outside of the EU, the unbalanced coverage of sectors and the number of moderator variables.

Prosumers act as golden actors because they contribute to enlarge both the customer base (through recommendations) and the provider base (through offering intention). Hence, managers should focus on prosumers' experiences to increase the critical mass and positive externalities of CC platforms.

This study helps understand the importance of the role of prosumers in the growth of CC platforms. The study provides more robust results through a cross-country and mixed-method research.

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

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.

This study aims to provide a cutting-edge evaluation of the sharing economy's impact within the realm of tourism and hospitality. The primary objectives guiding this research are as follows: to uncover the prevalent discussions and debates within the tourism and hospitality sector concerning the implications and effects of the sharing economy on urban destinations; and to analyse how scholarly inquiries and empirical investigations have contributed to a comprehensive comprehension of the intricate theoretical foundations and practical intricacies inherent in the sharing economy. This exploration takes place within the extensive expanse of existing literature.

The study used the non-conventional method for data mining. An artificial intelligence (AI) tool called www.dimensions.ai was used to mine data between the year 2002 and 2021. After which the data was analysed, using Citespace software that assisted in building themes for answering the research questions.

The sharing economy has multifaceted implications for rural and urban destinations. For instance, the findings demonstrated that emotional solidarity fosters community bonds between tourists and residents, enhancing authenticity. While, management firms optimise short-term rentals, boosting revenue and occupancy rates despite capped at 20%. It further demonstrated that the sharing economy disrupts traditional accommodations, especially hotels, impacting rural and urban destinations differently based on location and regulatory flexibility. Technological advancements would shape the digital future, transforming the resource in sharing and connectivity in urban settings.

Management firms or agents significantly enhance property facilities, revenue and occupancy rates. Properties managed by professionals perform better in terms of revenue and occupancy; furthermore, traditional accommodations need innovative strategies to compete with sharing economy platforms. Policymakers must consider location-specific regulations to balance sharing economy impacts. Embracing technological advancements ensures urban destinations stay relevant and competitive.

Emotional solidarity fosters bonds between residents and tourists, contributing to a sense of community. Management firms contribute to local economies and stability. However, Airbnb's impact on traditional accommodations raises concerns about the effect on residents and communities.

The study incorporates classical sociology theory to understand emotional solidarity and extends the concept of moral economy to guide economic behaviour in the sharing economy. The analysis also underscores the influence of technological trends such as mobile technology, Internet of Things, AI and blockchain on sharing practices in reshaping existing theoretical frameworks in the sharing atmosphere. Furthermore, the co-creation of value theory highlights collaborative interactions between hosts and guests, shaping the sharing economy experience. Consumer segmentation and choice theories shed light on sharing economy dynamics. Institutional and location-based theories provide insights into regulatory and location-specific impacts.

This research contributes by comprehensively exploring the multifaceted implications of the sharing economy on a tourist destination. It delves into emotional solidarity, management firm roles and location-specific impacts, enriching the understanding of the sharing economy's effects. The application of co-creation of value theory and examination of platform technologies offer fresh perspectives on value creation and user engagement. The study's focus on practical dimensions guides stakeholders in optimising the benefits and addressing challenges posed by the sharing economy in urban contexts. The exploration of moral economy and its relevance to the sharing economy provides a novel perspective, while the examination of technological influences on sharing practices contributes to understanding the digital future of the sharing economy.

The purpose of this paper is to explore the key features of fashion rental from a business model perspective with a focus on the role played by digital platforms.

A qualitative research design was used based on multiple case studies of three Italian fashion rental enterprises.

The findings reveal the key aspects characterizing fashion rental business models and the centrality of digital platforms in value creation, configuration and capture activities. The study also found that fashion rental platforms are likely to exhibit further successful development in the future.

The academic literature on fashion rental has been mainly focussed on examining consumers' motivations and concerns, paying little attention to the enterprise's viewpoint. To date, no previous study has examined fashion rental business models from the retailer's perspective. This paper is the first to explore the key components of fashion rental business models and how digital platforms influence them from the perspective of retailers. The originality of the study is further strengthened by the unique context of analysis, namely, Italy, a leading country for global fashion.

This study aims to investigate different types of platform providers (PPs) to gain a deeper understanding of the characteristics and underlying logic of this group within collaborative consumption (CC). As CC occurs with three groups of actors (PP, peer service provider and customer) and is predominantly viewed from the customer perspective, this study offers insights from the under-researched PP perspective.

This research applies a multiple case study approach and analyzes descriptively and thematically 92 cases of CC PPs gathered through the Crunchbase database.

The authors derive four archetypes of CC PPs, namely, the hedonist, functionalist, environmentalist and connector, that differ in their offered values, dominating motives and activities across industries.

The authors conceptualize CC by clearly describing the four archetypes and their characteristics. However, further research would benefit from including databases other than Crunchbase.

PPs need to understand their value offerings and customer preferences to develop convincing value propositions and offer engaging activities. PPs would benefit from a more active social media presence to build strong relations with customers and peer service providers to effectively communicate their values.

The paper is pioneering as it encompasses the perspective of CC PPs and operationalizes the concept of CC. The authors address the lack of research on CC by conducting an extensive case study.

This study aims to achieve three objectives: to explore the perception of consumers about supersized foods (in both pre- and post-consumption scenarios), to identify why consumers prefer supersized options over other available options and to determine the types of situations that push consumers to make such decisions.

This qualitative study uses the triangulation of projective methods, coupled with semi-structured interviews with 120 participants. The data was collected from major cities of Pakistan, using a convenient sample of 25 semi-structured interviews, 35 narratives and 60 sentence completions and constructions analyzed by performing thematic analysis.

The findings indicate that the antecedents of the purchase of supersized food include price/quantity trade-off, hunger, liking and the social setting of consumption. Such purchase decisions also lead to consequences such as saving after purchase, health concerns, food waste, guilt and satisfaction. The findings also reveal the factors that play a dual role of an antecedent and a consequence: sharing, social status, quantity and leisure time.

The knowledge of factors that make consumers select supersized foods can help marketers design deals that can control overconsumption and food waste. Instead of only focusing on the motivations behind the purchase of supersized foods, the authors also discuss the aspects of food purchase and consumption.

This study advances the literature on purchase decision, consumption and post-consumption of supersized foods, providing insights for food retailers, regulators and policymakers.

¿Cuándo y por qué los consumidores eligen alimentos de gran tamaño?

Este estudio busca alcanzar tres objetivos: 1) explorar la percepción de los consumidores sobre los alimentos de gran tamaño (tanto en escenarios previos como posteriores al consumo), 2) identificar por qué los consumidores prefieren las opciones de gran tamaño sobre otras opciones disponibles, y 3) determinar qué tipo de situaciones empujan a los consumidores a tomar tales decisiones.

Este estudio cualitativo emplea la triangulación de métodos proyectivos, junto con entrevistas semiestructuradas con 120 participantes. Los datos se recopilaron en las principales ciudades de Pakistán, utilizando una muestra conveniente de 25 entrevistas semiestructuradas, 35 narraciones y 60 terminaciones y construcciones de frases analizadas mediante la realización de un análisis temático.

Los resultados indican que los antecedentes de la compra de alimentos de gran tamaño incluyen la relación precio/cantidad, el hambre, el gusto y el entorno social del consumo. Estas decisiones de compra también conllevan consecuencias como el ahorro después de la compra, la preocupación por la salud, el desperdicio de alimentos, el sentimiento de culpa y la satisfacción. Los resultados también revelan los factores que desempeñan un doble papel de antecedente y consecuencia: compartir, estatus social, cantidad y tiempo de ocio.

El conocimiento de los factores que hacen que los consumidores seleccionen alimentos de gran tamaño puede ayudar a los responsables de marketing a diseñar ofertas que puedan controlar el consumo excesivo y el desperdicio de alimentos. En lugar de centrarse únicamente en las motivaciones que subyacen a la compra de alimentos de mayor tamaño, los autores también analizan los aspectos de la compra y el consumo de alimentos.

Este estudio supone un avance en la literatura sobre la decisión de compra, el consumo y el posconsumo de los alimentos de gran tamaño, proporcionando información a los minoristas de alimentos, a los reguladores y a los responsables políticos.

Gran tamaño, Alimentos de gran tamaño, Consumo de alimentos, Estudio cualitativo, Técnicas proyectivas

Investigación

消费者何时以及为何选择超大号食品？

本研究旨在实现三个目标。1）探索消费者对超大号食品的认知看法（在消费前和消费后的场景下）, 2）确定消费者为什么喜欢超大号食品而不是其他现有选择, 以及3）确定促使消费者做出这种决定的情况类型。

这项定性研究采用了投射方法中的的三角测量, 以及对120名参与者的半结构化访谈。这些数据是从巴基斯坦的主要城市收集的, 研究者使用了一个方便性样本, 其中包括25个半结构式访谈, 35个叙述, 以及60个句子的完成和结构。这些数据通过主题分析来进行解析。

研究结果表明, 购买超大号食品的前因包括价格/数量的权衡、饥饿感、喜好和消费的社会环境。这样的购买决定也导致了购买后的节省、健康问题、食物浪费、内疚和满足感等后果。研究结果还揭示了几个即是前因又是结果的双角色因素：分享、社会地位、数量和休闲时间。

了解促使消费者选择超大号食品的因素可以帮助营销人员设计能够控制过度消费和食品浪费的交易。作者不仅仅关注了购买超大号食品背后的动机, 还讨论了食品购买和消费的各个方面。

这项研究推进了关于超大食品的购买决策、消费和消费后的文献, 为食品零售商、监管者和政策制定者提供了见解。

关键词 超大, 超大食品, 食品消费, 定性研究, 投射技术

文章类型： 研究型论文

The purpose of this paper is to identify key aspects of business model development for sustainable apparel consumption, as actors show an increasing interest in product‒service systems. This purpose should be seen from a retailers’ perspective so as to develop sustainable solutions for long-term survival in the apparel industry when meeting consumer preferences for fashion as well as an increasing interest in consuming less. Further, this is from a perspective in an economy where sharing and circularity are potential drivers for changing consumer patterns.

The study is based on the apparel retailer Houdini Sportswear and its business model development from a traditional model of selling sportswear to a more future-oriented model where sustainability is more salient. The data for analysis were collected through interviews with employees within the studied company. The interviews have been guided by overarching themes covering relevant areas of interest for this study.

Overall, the paper shows how sustainability can be included in strategic development, from product idea, product development, production and sales/rental to repair, reuse and finally recycling. The paper also highlights potential obstacles in a developed business model with increased sustainability, including technological platforms, distribution networks for collecting and returning products and consumer consumption preferences. There are a few intertwined factors to be considered on different societal levels to achieve long-term success.

This study contributes an increased understanding of how more sustainable solutions can be included when developing business models. While the manufacture, distribution and consumption of clothes have an impact on the environment, some retailers and producers want to reduce this environmental impact. One alternative is to change the way clothes are consumed, to include more sharing and circularity.

The purpose of this study is to extend the research on fashion renting (FR) by investigating how personal and social motives (i.e. “subjective norms”, “perceived behavioural control”, “sustainable orientation” and “FR benefits”) affect consumers’ attitudes and intentions towards it. In addition, personality traits are investigated as potential antecedents of FR, resulting in the proposal of an overall framework that combines the theory of planned behaviour with the trait theory approach.

Data were collected in Italy from a sample of 694 consumers, mainly females (88%), with an average age of 28.8 years and coming from all over the country. The collected data were then processed via structural equation modelling.

The results indicated that intention towards FR is influenced by attitude, which, in turn, is affected by social norms, perceived behavioural control, sustainable orientation and FR benefits. Furthermore, only fashion leadership acts as a direct antecedent of FR attitude, while the need for uniqueness and materialism plays critical roles as predictors of personal and social motives. Subjective norms and perceived behavioural control also serve as mediators of the significant relationships between personality traits and attitudes towards FR.

The study provides useful implications for fashion rental companies in attracting consumers and offers a foundation for further research on transforming traditional consumption into a more sustainable one.

The study presents new knowledge on the rental phenomenon in the fashion sector by responding to the call to deepen the analysis of factors that influence consumers’ adoption of FR from the perspectives of personal and social motives and personality traits.