Bibliographies thématiques / Sharing economy. Collaborative economy. Uber

Littérature scientifique sur le sujet « Sharing economy. Collaborative economy. Uber »

Auteur : Grafiati

Publié le 11 mars 2023

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Articles de revues sur le sujet "Sharing economy. Collaborative economy. Uber"

Rodrigues, Nuno Cunha. « The regulation of collaborative economy in the european union ». UNIO – EU Law Journal 5, n^o 1 (13 juin 2019) : 40–53. http://dx.doi.org/10.21814/unio.5.1.249.

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The paper distinguishes between sharing economy and collaborative economy, focusing on the legal framework of collaborative platforms (such as Uber or Airbnb) according to EU law. Case-law from the Court of Justice of the European Union (CJEU) and the position of the European Commission are analyzed in this regard. It is concluded that there is no harmonization, within the European Union, of the legal regime applicable to certain collaborative platforms. As such, specific regulation of collaborative platforms has followed different paths within the Member States.

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Rowe, Pia C. M. « Beyond Uber and Airbnb : The Social Economy of Collaborative Consumption ». Social Media + Society 3, n^o 2 (avril 2017) : 205630511770678. http://dx.doi.org/10.1177/2056305117706784.

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The growing collaborative consumption movement has evolved significantly in the age of Web 2.0. While much of the research has focused on its economic aspects, there are also practices that have gone largely unnoticed. This article illustrates the range of these practices by proposing a typology that accounts for the various currencies exchanged and digital technologies used to promote sharing of goods and services. This article focuses on the social aspects of the collaborative consumption movement to construct a full picture of the concept. It presents a case study of an Australian grassroots community group, MamaBake, which promotes the communal cooking and sharing of meals between mothers, and shows that even non-monetary currencies, such as the shared norms of reciprocity used by MamaBake, can be stigmatizing under certain circumstances. In doing so, it imagines alternative manifestations of the collaborative consumption movement that go beyond market orientation and instead focuses on promoting soft, non-economic values.

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Lu, Qi, Miao Lu et Hyungsik Kahn. « The Sharing Economy : A Review and Agenda for Future Research ». Institute of Global Business Research 34, n^o 1 (31 décembre 2022) : 1–35. http://dx.doi.org/10.46775/jgbr.2022.34.1.01.

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In the past decade, the emergence of two new sharing business models, C2C sharing represented by Airbnb, Uber, Lyft and TaskRabbit and B2C sharing represented by Mobike, ofo and Spinlister, has led to the rise of various studies on this topic in the marketing discipline. However, the impact of the sharing economy on marketing thought and practice is still unclear. Based on scientific quantitative research and literature analysis, this paper firstly grasps the connotation of sharing economy from the definition, essence and characteristics. Secondly, the article also studies the impact of the traditional beliefs and practice of the sharing economy on marketing. According to the Theory of Collaborative Consumption, Theory of Two-sided market and Theory of Firms Operations analytical framework, From consumers (Engagement Motivation, Satisfaction and Purchase Intent), Sharing Platforms (Dynamic Pricing, Reputation Mechanism, Search Mechanism and Matching Mechanism) and Enterprises (Operations: Supply Chain/Channel, Management: Enterprise Pricing/Product Strategy) three major perspectives, sort out the progress of the sharing economy, emphasize the current problems of participating entities of the sharing economy, and provide the future research direction to promote sharing economic marketing. Finally, a set of forward-looking guiding principles is proposed for the sharing economy market participants-consumers, sharing platforms, and business operations management. In summary, this paper aims to help guide management and governance insights into the scientific practice of the sharing economy and help marketing scholars not only keep pace with the sharing economy, but also shape its future direction.

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Avdokushin, YEvgyeniy, et Elena Kuznecova. « Sharing Model as a Determinant Factor of Modern Business ». Bulletin of Kemerovo State University. Series : Political, Sociological and Economic sciences 2022, n^o 2 (5 juillet 2022) : 201–11. http://dx.doi.org/10.21603/2500-3372-2022-7-2-201-211.

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The model of the sharing economy has become popular in various industries. This model transforms capitalism into an economy based on private property and unlimited consumption. As a result, it improves the efficiency of entrepreneurship, strengthens the social component of business, increases environmental awareness, and achieves sustainable development goals. The sharing model is a rather complex structure. It covers non-market and market models of organization, as well as business, cooperative, and collaborative ties. The original social essence of sharing was in the economy of joint consumption and use; however, nowadays various pseudo-social models with purely market goals often mimic as sharing. The article reveals the concept of sharing as it is used by business organization platforms, as well as its structure, main characteristics, and interaction with the market economy, e.g., digital platforms and ecosystems, Uber business models, ESG principles, etc.

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Leighton, Patricia. « Professional self-employment, new power and the sharing economy : Some cautionary tales from Uber ». Journal of Management & ; Organization 22, n^o 6 (novembre 2016) : 859–74. http://dx.doi.org/10.1017/jmo.2016.30.

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AbstractThis article reflects on some of the major changes in the ways that people are working today, changes often driven by a preference for greater autonomy and choice, but also to work on a sharing, collaborative or networked basis. Many of the growing numbers of independent professionals are attracted by these ways of working. Developments in Information and Communication Technology have been critical, especially in enabling services, including professional services, to be delivered via internet platforms. This has created, in effect, new forms of intermediation and increasingly complex work relationships. These developments have often proved very controversial, as instanced by the disputes surrounding Uber, the international, internet-based taxi provider. Many of these changes also raise issues of accountability and work quality, along with creating new patterns of work relationships. Inevitably, the changes also highlight the role of regulation, which is the main focus of this article The topic is explored against a backdrop of much recent deregulation, challenges to so-called ‘red tape’ and laissez faire policies. The myriad of disputes and litigation involving Uber is examined and reflected upon. There are, of course, many differences between the taxi drivers of Uber and the designers, journalists, engineers and consultants, typical of independent professional working, but there are also some key parallels and experiences that provide a cautionary tale!

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Toivola, Tuija. « Sharing Economy Startups : New Wave of Networked Business Models in the Changing World ». JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, n^o 4 (2018) : 12–19. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.34.3002.

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The relatively new phenomenon called sharing economy, or collaborative consumption, is best known by the companies like Airbnb and Uber. These companies use mobile applications and web platforms to match people willing to share a room or a car with others who need a ride or a place to stay. The peer-to-peer economy has disrupted traditional business models and upset the regulatory status quo (Shueh, 2014). Sharing economy has challenged mature industries, such as hotels, restaurants, cars, by providing consumers with convenient and effective access to resources without the financial, emotional or social burdens of ownership. In that sense, sharing economy is also an access economy (Eckhardt & Bardhi, 2015). There is a whole bunch of new startups springing up and joining the sharing economy movement. Companies are inventing new ways of integrating customers in their value creation processes in order to enhance the success of new service concepts. In this study, sharing economy is defined as a set of practices and business models based on horizontal networks and the participation of a community (Ouishare; Ismail, 2014). The aim of this study is to increase understanding of how the new networked startups operate and how they create value for their customers. We especially look at the role of platforms, the innovations in organizing the business and the role of the networks and communities. The data is collected from a Finnish sharing economy startup operating in the restaurant industry (lunch leftovers). The early stage startups’ business model is compared to the leading startups in the sharing economy. The data is collected by interviewing the entrepreneurs, drawing the customer journeys and visualizing the elements of their business models. A case study is used as a method because the study aims to explain what kind of business models sharing economy startups use and what is the role of the different elements in their success in partnerships, resources, customer relationships, and communities. A Case study is relevant when the study requires an extensive and in-depth description of the phenomenon (Yin, 2014). As a result, this study will provide insight into how the new sharing economy startups organize their businesses to create unique value for the customers. This article will contribute to the increasing interest of enhancing customer experience and raise some key elements for the success factors of the sharing economy. Also, the study will highlight the possibilities of digital platforms enhancing the growth and internationalization of startups.

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Sarkar, A., M. Koohikamali et J. B. Pick. « SPATIOTEMPORAL PATTERNS AND SOCIOECONOMIC DIMENSIONS OF SHARED ACCOMMODATIONS : THE CASE OF AIRBNB IN LOS ANGELES, CALIFORNIA ». ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W2 (19 octobre 2017) : 107–14. http://dx.doi.org/10.5194/isprs-annals-iv-4-w2-107-2017.

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In recent years, disruptive innovation by peer-to-peer platforms in a variety of industries, notably transportation and hospitality have altered the way individuals consume everyday essential services. With growth in sharing economy platforms such as Uber for ridesharing and Airbnb for short-term accommodations, interest in examining spatiotemporal patterns of participation in the sharing economy by suppliers and consumers is increasing. This research is motivated by key questions: who are the sharing economy workers, where are they located, and does their location influence their participation in the sharing economy? This paper is the first systematic effort to analyze spatiotemporal patterns of participation by hosts in the shared accommodation-based economy. Using three different kinds of shared accommodations listed in a 3-year period in the popular short-term accommodation platform, Airbnb, we examine spatiotemporal dimensions of host participation in a major U.S. market, Los Angeles CA. The paper also develops a conceptual model by positing associations of demographic, socioeconomic, occupational, and social capital attributes of hosts, along with their attitudes toward trust and greener consumption with hosts’ participation in a shared accommodation market. Results confirm host participation to be influenced by young dependency ratio, the potential of supplemental income, as well as the sustainability potential of collaborative consumption, along with finance, insurance, and real estate occupation, but not so much by trust for our overall study area. These results add new insights to limited prior knowledge about the sharing economy worker and have policy implications.

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Bartucz, Csilla. « Can the Trust in Uber-like Platform Use Be Translated into Parcel Logistics ? » ENTRENOVA - ENTerprise REsearch InNOVAtion 7, n^o 1 (9 décembre 2021) : 398–409. http://dx.doi.org/10.54820/kxgg3223.

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Rising expectations for urban logistics are the biggest challenge for parcel service providers. The increased costs posed by obstacles reduce profitability, and providers are forced to develop a novel operating model based on cooperation. The new model can combine what is known so far, which can be integrated into a platform-based system to implement collaborative resource sharing. The implementation of the platform will result in the introduction of a new player and the creation of a partly common ICT background. The platform-based approach is known in the context of the sharing economy initiative, which has also brought a novel trust-based model to life. On the one hand, this article presents a possible business model for parcel logistics providers and, on the other hand, the operation of a third-party IT platform and the method of resource allocation designed to reduce costs. In addition, it presents the possible reasons for the intention to join the platform and the conditions necessary to maintain the platform. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Górriz, Carlos. « Incumbent Strategies against Collaborative Platforms ». Law in Context. A Socio-legal Journal 36, n^o 2 (19 mai 2020) : 1–17. http://dx.doi.org/10.26826/law-in-context.v36i2.97.

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The purpose of this article is to analyse the strategies that incumbent market participants are using to fight collaborative platforms. I essentially focus on the battle between taxi drivers and Uber in Spain, because it is a very complete scenario. Traditional operators feel threatened by collaborative platforms due to the greater attractiveness of their business model. Therefore, they implemented t the two classic defence measures: imitation and confrontation. Nonetheless, some references are made to other examples of sharing economy, as “short-term rental market” and other countries. The first strategy is imitation. Established operators try to copy technological advances to increase competitiveness. Others team up with collaborative platforms to take advantage of their power of attraction and gain market share. We believe that it is the most desirable strategy, from a systematic point of view, because it improves competition and encourages innovation. Nonetheless, there are economic, social and legal obstacles that hinder imitation and collaboration. Traditional operators have faced collaborative platforms through different channels. The two most important are judicial and legislative. Regarding the first one, incumbents have grounded the lawsuits on unfair competition. They argued that collaborative platforms took advantage of breaking the laws, misled, sold at a loss and, in general, did not act in good faith. The Spanish experience shows that this strategy is not efficient. Multiple uncertainties condition the result; for instance, the lack of precise knowledge of disruptive technologies. Even when the result is favourable to the plaintiff, winning does not mean necessarily success. The third strategy is regulatory capture. Traditional operators put pressure on Parliaments, Governments and all kinds of administrations to forbid or restrict the activities of collaborative platforms. The Spanish experience is that this strategy can work. Success is not guaranteed as it full of difficulties and uncertainties. The outcome relies heavily on the political conjuncture, that uses to be fluctuating. Besides, it is very detrimental to the economic and legal system.

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Bhappu, Anita D., Tea Lempiälä et M. Lisa Yeo. « Platform Service Designs : A Comparative Case Analysis of Technology Features, Affordances, and Constraints for Ridesharing ». Digital 2, n^o 2 (5 juin 2022) : 320–32. http://dx.doi.org/10.3390/digital2020018.

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Ridesharing platforms have gained a strong foothold as an alternative transportation option to vehicle ownership for consumers while being contested for causing widespread market disruption. They continue to foster business model innovation and unveil new opportunities for delivering goods and services within the broader sharing economy. However, relatively little is known about the comparative value of services provided by the numerous ridesharing platforms available today. We, therefore, analyze three exemplars within the broader sharing economy: Uber®, BlaBlaCar®, and Zimride®. We find that these ridesharing platforms are unique service systems with different designs for facilitating peer-to-peer service interactions, which are reflected in their technology features, affordances, and constraints. Our analysis offers researchers and platform owners new ways to conceptualize and understand these two-sided, digital markets with a range of participants, user goals, and service experiences. In particular, we demonstrate that platforms can be designed to cultivate entrepreneur dependency or enable prosumer communication and collaborative consumption. Given pending legislation to regulate platform-based work, platform owners should be mindful about creating an asymmetrical power imbalance with providers given assumptions about service interactions and technology features. Furthermore, researchers should account for service design differences, as well as the technology affordances and constraints, of platforms.

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Thèses sur le sujet "Sharing economy. Collaborative economy. Uber"

Zilianti, Marta. « Sharing/collaborative economy : confini giuridici e prospettive di regolazione : il caso Uber ». Doctoral thesis, Luiss Guido Carli, 2020. http://hdl.handle.net/11385/203219.

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Sharing economy e collaborative economy: uno sguardo d’insieme a una nuova frontiera giuridica. La regolazione della sharing economy e il caso Uber: trasporto pubblico non di linea e criticità connesse. Ancora sul caso uber: possibili rimedi e soluzioni all’attuale impasse

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Dariol, Arianna <1991&gt. « Economia Digitale : evoluzione, sharing economy e caso Uber ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12472.

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La tesi si occupa di analizzare il fenomeno della economia digitale, dalla sua nascita al corrente sviluppo, soffermandosi in ogni sua ramificazione e valutando il rapporto intercorrente tra essa e il sistema giuridico italiano ed europeo, sottolineando le eventuali problematiche relative alla definizione laboristica degli utenti che vi fanno parte. L'elaborato si sofferma in particolare sulla sharing economy e sul caso più emblematico, quello della società Uber, anche in questo caso verificando le evenutali implicazioni in campo giuridico ed economico della medesima.

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Gruszka, Katarzyna. « Framing the Collaborative Economy ». WU Vienna University of Economics and Business, 2016. http://epub.wu.ac.at/4911/1/EcolEcon_WorkingPaper_2016%2D11.pdf.

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Within the context of multiple crises and change, a range of practices discussed under the umbrella term of collaborative (or sharing) economy have been gaining considerable attention. Supporters build an idealistic vision of collaborative societies. Critics have been stripping the concept of its visionary potential, questioning its revolutionary nature. In the study, these debates are brought down to the local level in search for common perceptions among the co-creators of the concept in Vienna, Austria. Towards this aim a Q study is conducted, i.e. a mixed method enabling analyses of subjective perceptions on socially contested topics. Four voices are identified: True Believers, Market Optimists, Dedicated Critics, and Healthy Sceptics, each bringing their values, visions, and practical goals characteristic of different understanding of the collaborative economy. The study questions the need for building a globally-applicable definition of the concept, calls for more context-sensitivity, and the need for further exploratory approaches. (author's abstract)
Series: Ecological Economic Papers

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Gruszka, Katarzyna. « Framing the collaborative economy - Voices of contestation ». Elsevier, 2017. http://dx.doi.org/10.1016/j.eist.2016.09.002.

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Within the context of multiple crises and change, a range of practices discussed under the umbrella term of collaborative (or sharing) economy have been gaining considerable attention. Supporters build an idealistic vision of collaborative societies. Critics have been stripping the concept of its visionary potential, questioning its revolutionary nature. In the study, these debates are brought down to the local level in search for common perceptions among the co-creators of the concept in Vienna, Austria. Towards this aim a Q study is conducted, i.e. a mixed method enabling analyses of subjective perceptions on socially contested topics. Four framings are identified: Visionary Supporters, Market Optimists, Visionary Critics, and Skeptics, each bringing their values, visions, and practical goals characteristic of different understanding of the collaborative economy. The study questions the need for building a globally-applicable definition of the concept, calls for more context-sensitivity, exploratory studies, and city-level multi-stakeholder dialogues.

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Johansson, Jacob, Oscar Folkesson et Jacob Henningsson. « Brand image in the Sharing Economy : An exploratory study of how to achieve positive customer perceptions in the sharing economy ». Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39695.

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Abstract Background: Most of existing literature in the field of sharing economy has focused on aspects of sustainability and business model structure. Research on brand image in the sharing economy has up until today not been an area of investigation. The purpose of a company’s marketing activities is to influence the perception and attitude towards the brand and stimulate consumers’ purchasing behavior by establish the brand image in consumers’ mind. The peer-to-beer based structure of sharing goods and services in the sharing economy consequently means less involvement from the focal company and presents the challenge of influencing the customers’ perception of the brand. Purpose: Page and Lepkowska-White (2002) developed the ‘Web Equity Framework’ which illustrates factors affecting brand equity in an online environment. By using this framework as a foundation for interviews, the purpose of this study is to understand how brand image is built and uncover factors that affects brand image in the sharing economy. Method: This is a qualitative study using an abductive approach. Seven in-depth interviews have been held with sharing economy companies in Sweden to collect data and gain an understanding in the field of study. Conclusion: The findings of this study show five factors that affect brand image in the sharing economy. The factors in Page and Lepkowska-White’s (2002) framework have been found to affect brand image also in the sharing economy, to different extent. However, two of them have been renamed to more appropriately fit the field of study and one additional factor has been identified, namely Peer trust, which has been illustrated in a revised model. Since trust between consumers becomes more apparent in the sharing economy, this is also one of the factors that impact the way consumers perceive the brand.

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Asplund, Erik, Philip Björefeldt et Pontus Rådberg. « Sharing Economy : Funding and Motivational Factors across Industries ». Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-35849.

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Purpose - The purpose of this paper is to investigate the motivational factors for participation in collaborative consumption across industries and if specific factors attracts funding. This will be done as an attempt to extend current research within sharing economy regarding what factors to consider when attracting funding. Method and Methodology - Utilizing a deductive approach, the research questions connect motivational factors for participation with funding of industries within the sharing economy. Secondary data containing 776 funding rounds were analysed through univariate and bivariate analyses and linked to 40 935 observations of motivational factors for participation. Findings - The findings entail how some motivational factors for participation in the sharing economy can be applicable to all investigated industries, while others are industry specific. The study thus suggest that the sharing economy cannot be viewed as one coherent industry and motivational factors should not be cross-sector generalized. Contribution - The study contributes with a theoretical implication in the way it bridges the existing gap by dividing the sharing economy into different industries and connect the specific motivational factors underlying the possibility to attract funding. Furthermore, a practical implication suggests that companies can use these findings as a guideline to attract consumers and ultimately funding.

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Erving, Ellyn E. « The Sharing Economy : Exploring the Intersection of Collaborative Consumption and Capitalism ». Scholarship @ Claremont, 2014. http://scholarship.claremont.edu/scripps_theses/409.

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This thesis explores how the sharing economy in America combines Collaborative Consumption ideas and social values with capitalist business models to make a profit. I discuss definitions of terms associated with the sharing economy, economic anthropological theories and case studies, as well as company and consumer motivations in sharing economy companies.

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Cowley, Olivia. « The Rise of Uber : Economic Effects of Ride Sharing Services on Taxis and the Implications for the Sharing Economy ». Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1455.

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New companies with business models based on technology-enabled sharing have emerged as the hot topic in technology in recent years. Uber, the sharing-economy’s poster-child, is now the world’s most valuable start-up by far. Lyft, its younger competitor, is seeing year over year growth in the hundreds of percentage points. This growth is coming at the cost of the incumbent taxi industry, and this is what this study sets out to examine. What is the effect of Uber, Lyft, and other ride-sharing services on the taxi industry? My study reveals that there has been an extremely negative effect on taxicabs, and that there are only a few last strands of hope for ways taxis can compete. Based on my study and learning, in final I forecast the ways that the firms in this space can continue to grow and dominate the ride-sharing market, and beyond.

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Jin, Jessica. « Caring About Sharing : Regulating Uber and Airbnb in California ». Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1333.

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New innovation often forces The rise of the sharing economy has created a host of regulatory challenges for both agencies and legislators. Specifically, the ride-sharing and short-term rental industries have faced significant challenges from incumbent industries, lawmakers, and the public. Evaluating the respective policy development of these industries and the strategies of the industry leaders provide a useful lens of analysis.

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Štěrbová, Denisa. « The sharing economy in Brazil : the case of gastronomy ». Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-194102.

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After years of boom, Brazil will experience a recession this year. There was a significant imbalance in recent years from a budgetary point of view, inflation and foreign exchange. Protectionist Brazilian policy don't support foreign trade. Therefore consumers in the current recessive market environment are more willing to work with so-called collaborative consumption, even though Brazil is a country with one of the highest crime rate and the level of trust of consumers is lower than in other countries. Sharing economy pioneer offering short-term accommodation Airbnb used FIFA World Cup to bring sharing economy to Brazil and before the Olympic Games in Rio de Janeiro the company is booming. The collaborative economy projects spread the values and culture of sharing and collaboration in other Brazilian cities. At the same time worldwide service, Uber (mobile-app-based transportation network) was banned from the country. This Master's thesis aims to analyze the cultural and legal environment in the frame of sharing economy in Brazil, in the field of gastronomy. Could the concept of home restaurants, so called "meal sharing", which is currently spreading in developed countries, work in Brazil?

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Livres sur le sujet "Sharing economy. Collaborative economy. Uber"

Bas, Enric. Sharing and Collaborative Economy. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93882-6.

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Angelovska, Julijana. The Collaborative Economy in Action : European Perspectives. Limerick : University of Limerick, 2021.

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Carter, Glenn. Secrets of the sharing economy : Unofficial guide to using Airbnb, Uber, & more to earn $1000's. [S.l.] : G. Carter, 2015.

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Ester, Peter. Accelerators in Silicon Valley. NL Amsterdam : Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789462987166.

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Silicon Valley is the world's most successful innovation region. Apple, Google, Facebook, Instagram, Twitter, WhatsApp, Uber, and Airbnb changed our way of living. Silicon Valley has built a brilliant ecosystem that supports startups. Its entrepreneurial mindset fosters risk-taking, thinking big, and sharing. A fast growing number of accelerators in Silicon Valley help startups by bringing their product to the market, refining their business idea, developing their product, strengthening their team, designing a marketing strategy, getting first customers and traction, raising funds, and coping with the hardships of startup life. In Accelerators in Silicon Valley Peter Ester describes how these 'schools of startup entrepreneurship' operate and empower startups. What can we learn from how Silicon Valley accelerators help startups to become successful companies? This book gives the answer. Accelerators in Silicon Valley is a book for those who share a fascination for building the new startup economy.

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Uber, Lyft, Airbnb, and the Sharing Economy. Greenhaven Pr, 2017.

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Uber, Lyft, Airbnb, and the Sharing Economy. Greenhaven Pr, 2017.

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Uber-positive : Why Americans love the sharing economy. Encounter Books, 2016.

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Meyer, Jared. Uber-Positive : Why Americans Love the Sharing Economy. Encounter Books, 2016.

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Fitó-Bertran, Àngels, Francisco Liébana-Cabanillas, Josep Llados-Masllorens et Iviane Ramos de. Sharing Economy and the Impact of Collaborative Consumption. IGI Global, 2019.

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Luna, Iviane Ramos de, Àngels Fitó-Bertran, Francisco Liébana-Cabanillas et Josep Llados-Masllorens. Sharing Economy and the Impact of Collaborative Consumption. IGI Global, 2019.

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Chapitres de livres sur le sujet "Sharing economy. Collaborative economy. Uber"

Ağlargöz, Ozan, et Feyza Ağlargöz. « The Collaborative and Sharing Economy ». Dans Anarchism, Organization and Management, 157–68. First Edition. | New York : Routledge, 2020. : Routledge, 2020. http://dx.doi.org/10.4324/9781315172606-17.

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Richards, Greg. « Sharing the New Localities of Tourism ». Dans Collaborative Economy and Tourism, 169–84. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51799-5_10.

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Dumančić, Kosjenka, et Natalia-Rozalia Avlona. « The Regulatory Context and Legal Evolution : The Cases of Airbnb and Uber ». Dans The Sharing Economy in Europe, 65–85. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86897-0_4.

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AbstractWhilst sharing economy has been enjoying increasing popularity worldwide over the last decade; its legal definition has been debatable. This is aligning with the fact that the European Union has not provided the legal framework for the sharing economy yet, apart from a European Commission Communication from 2016. This Communication seeks a balance between the support of a Digital Single Market in the EU and the protection of the consumers’ rights and leaves a broad space for national legislations to respond to the phenomenon of sharing economy. The aim of this chapter is to address these issues within the framework of two sharing economy case studies: Airbnb and Uber as the only source at the EU level of applicable law besides the EC Communication.

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Lukasiewicz, Agnieszka, et Aleksandra Nadolska. « The Sharing Economy Business Models in Poland : Aspects of Trust, Law, and Initiatives Facing the COVID-19 Pandemic ». Dans The Sharing Economy in Europe, 343–63. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86897-0_16.

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AbstractThis chapter presents an analysis of sharing economy development in Poland, not only big businesses such as Uber or Airbnb but also smaller, local initiatives—often in their niches, doing better than global corporations. All kinds of enterprises and institutions are increasingly willing to incorporate elements of shared economics for business practice and organisational culture through stressing cost savings and flexibility. With all the opportunities sharing economy brings, it also creates many unsolved issues, such as regulations, labour law, competition, which often lead to conflicts of different stakeholders. Authors discuss various sharing economy initiatives in Poland as well as social strands, trust, and problems with legally unregulated issues. Furthermore, this chapter also covers different aspects of sharing economy initiatives embedded in the COVID-19 pandemic.

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de Waal, Martijn, et Martijn Arets. « From a Sharing Economy to a Platform Economy : Public Values in Shared Mobility and Gig Work in the Netherlands ». Dans The Sharing Economy in Europe, 241–61. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86897-0_11.

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AbstractThis chapter discusses the sharing economy in the Netherlands, focussing on shared mobility and gig work platforms. The Netherlands has been known as one of the pioneers in the sharing economy. Local initiatives emerged at the beginning of the 2010s. International players such as Uber, UberPop, and Airbnb followed soon after. Initially, the sharing economy was greeted with a sense of optimism, as it was thought to contribute to social cohesion and sustainability. Over the last few years, the debate has shifted to the question of how public values can be safeguarded or stimulated. In this regard, shared mobility is hoped to contribute to more sustainable transport. In the gig economy, scholars and labour representatives fear a further flexibilisation of labour; others see opportunities for economic growth.

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Ranjitha, G. P., et Krishnan Jeesha. « Collaborative Consumption : The Future of Sharing Economy ». Dans Dealing with Socially Responsible Consumers, 69–81. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4457-4_5.

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Hysa, Eglantina, et Alba Demneri Kruja. « Advances of Sharing Economy in Agriculture and Tourism Sectors of Albania ». Dans The Sharing Economy in Europe, 365–83. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86897-0_17.

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AbstractThe concept of sharing economy arises with the digital economy. However, the awareness of the terms ‘sharing economy’ and ‘collaborative economy’ is still very modest in Albania. With the industry 4.0 revolution, the digitisation process of the economy has become a priority agenda for the government of this country. Although the sharing economy is evidenced in the Albanian market in many industries, this chapter focuses only on the agriculture and tourism sector. This study identifies the development trends of both sectors, their specifications, and their progress tracks of the collaborative/sharing aspects. After an integrated strengths, weaknesses, opportunities, and threats (SWOT) analysis of the sharing economy developments, the study comes up with the quadruple helix collaboration model as a necessity of a collaborative economy supportive to the Albanian market enhancement.

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Mortara, Ariela, et Geraldina Roberti. « The sharing economy and young people : an exploratory research project ». Dans Contemporary Collaborative Consumption, 97–129. Wiesbaden : Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21346-6_6.

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Lukasiewicz, Agnieszka, Venere Stefania Sanna, Vera Lúcia Alves Pereira Diogo et Anikó Bernát. « Shared Mobility : A Reflection on Sharing Economy Initiatives in European Transportation Sectors ». Dans The Sharing Economy in Europe, 89–114. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86897-0_5.

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AbstractFreedom of movement is a fundamental human right. The transportation sector, therefore, holds high socio-economic significance—while contributing almost a quarter of Europe’s greenhouse gas emissions and being a major air polluter. Key parts of the ‘collaborative and sharing economy’ relate to transport, including peer-to-peer and on-demand transportation. While these forms of ‘collaborative consumption’ may be seen as promoting environmental sustainability, such models also generate inequality and regulatory disputes (e.g., Uber’s workers and licences), leading to stakeholder conflict. This chapter examines the importance of the main shared mobility services within the transportation sector, their contribution to changing mobility habits, and their connection to sustainable development issues. We also consider conflicts in different European countries caused by shared mobility and the possible effects of the COVID-19 pandemic.

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Arcidiacono, Davide, et Ivana Pais. « Individual Rewarding and Social Outcomes in the Collaborative Economy ». Dans Multidisciplinary Design of Sharing Services, 81–93. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78099-3_6.

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Actes de conférences sur le sujet "Sharing economy. Collaborative economy. Uber"

MacEachen, E., E. Reid Musson, E. Bartel, J. Carriere, SB Meyer, S. Varatharajan, A. Kosny, P. Bigelow et R. Saunders. « 285 The sharing economy : hazards of being an uber driver ». Dans 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.1407.

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Boshuijzen – van Burken, Christine, et Darek M. Haftor. « Complexities and Dilemmas in the Sharing Economy : The Uber Case ». Dans The 18th annual International Conference Dilemmas for Human Services : Organizing, Designing and Managing. Llinnaeus University, 2017. http://dx.doi.org/10.15626/dirc.2015.04.

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Zhao, Xing-Yue, et Qin Su. « Existing Issues of Ride Sharing Company Operation and Sharing Economy in China : Uber Case Analysis ». Dans Proceedings of the 5th Annual International Conference on Management, Economics and Social Development (ICMESD 2019). Paris, France : Atlantis Press, 2019. http://dx.doi.org/10.2991/icmesd-19.2019.51.

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Mittendorf, Christoph. « The Implications of Trust in the Sharing Economy : An Empirical Analysis of Uber ». Dans Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.703.

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Tuikka, Anne-Marie, Abayomi Baiyere et Kai Kimppa. « Representing Precarious Work in the Sharing Economy through (De)motivations of Uber Contractors ». Dans 32nd Bled eConference Humanizing Technology for a Sustainable Society, Bled, Slovenia, Conference Proceedings. University of Maribor Press, 2019. http://dx.doi.org/10.18690/978-961-286-280-0.47.

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Shi, Lulu, et Yifeng Wang. « Study on Bicycle Parking in Sharing Economy : Trilateral Cooperation Game and Collaborative Governance ». Dans Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019). Paris, France : Atlantis Press, 2019. http://dx.doi.org/10.2991/ichssr-19.2019.134.

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Wagger, Herbert. « From agile software development to the sharing economy and the collaborative commons : Social apps for enterprises ». Dans 2015 IEEE Eighth International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2015. http://dx.doi.org/10.1109/icstw.2015.7107420.

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Montakhabi, Mehdi, Shenja van der Graaf, Pieter Ballon et Mustafa A. Mustafa. « Sharing Beyond Peer-to-peer Trading : Collaborative (Open) Business Models as a Pathway to Smart Circular Economy in Electricity Markets ». Dans 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2020. http://dx.doi.org/10.1109/dcoss49796.2020.00081.

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Ding, Lian, Dannie Davies et Chris McMahon. « Sharing Information Throughout a Product Lifecycle via Markup of Product Models ». Dans ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49804.

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The advances in wireless communication and the Internet are leading to an ever-more-global economy and unprecedented changes in business processes. Such a highly competitive global market demands that engineering companies must consider the entire product lifecycle and take advantages of different regions of the world by collaboration between groups based in different geographic locations. The experiences of collaborative enterprises have shown up many issues of communication and information sharing between separate teams or different users at different stages of a product lifecycle. This paper proposes a new strategy to strengthen information sharing among users and partners through the whole product lifecycle. The proposed method utilizes a CAD model to act as a centre-carrier to link the information generated by different users, especially at later stages of the product lifecycle, no matter which formats of the product (i.e., the original CAD model or its derived lightweight representations) the users own. The method provides further support in sharing and retrieving relevant information directly via the CAD model.

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Rapports d'organisations sur le sujet "Sharing economy. Collaborative economy. Uber"

Colomb, Claire, et Tatiana Moreira de Souza. Regulating Short-Term Rentals : Platform-based property rentals in European cities : the policy debates. Property Research Trust, mai 2021. http://dx.doi.org/10.52915/kkkd3578.

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Short-term rentals mediated by digital platforms have positive and negative impacts that are unevenly distributed among socio-economic groups and places. Detrimental impacts on the housing market and quality of life of long-term residents have been particular contentious in some cities. • In the 12 cities studied in the report (Amsterdam, Barcelona, Berlin, Brussels, Lisbon, London, Madrid, Milan, Paris, Prague, Rome and Vienna), city governments have responded differently to the growth of short-term rentals. • The emerging local regulations of short-term rentals take multiple forms and exhibit various degrees of stringency, ranging from rare cases of laissez-faire to a few cases of partial prohibition or strict quantitative control. Most city governments have sought to find a middle-ground approach that differentiates between the professional rental of whole units and the occasional rental of one’s home/ primary residence. • The regulation of short-term rentals is contentious and highly politicised. Six broad categories of interest groups and non-state actors actively participate in the debates with contrasting positions: advocates of the ‘sharing’ or ‘collaborative’ economy; corporate platforms; professional organisatons of short-term rental operators; new associations of hosts or ‘home-sharers’; the hotel and hospitality industry; and residents’ associations/citizens’ movements. • All city governments face difficulties in implementing and enforcing the regulations, due to a lack of sufficient resources and to the absence of accurate and comprehensive data on individual hosts. That data is held by corporate platforms, which have generally not accepted to release it (with a few exceptions) nor to monitor the content of their listings against local rules. • The relationships between platforms and city governments have oscillated between collaboration and conflict. Effective implementation is impossible without the cooperation of platforms. • In the context of the European Union, the debate has taken a supranational dimension, as two pieces of EU law frame the possibility — and acceptable forms — of regulation of online platforms and of short-term rentals in EU member states: the 2000 E-Commerce Directive and the 2006 Services Directive. • For regulation to be effective, the EU legal framework should be revised to ensure platform account- ability and data disclosure. This would allow city (and other ti ers of) governments to effectively enforce the regulations that they deem appropriate. • Besides, national and regional governments, who often control the legislative framework that defines particular types of short-term rentals, need to give local governments the necessary tools to be able to exercise their ‘right to regulate’ in the name of public interest objectives.

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African Open Science Platform Part 1 : Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.

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