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1

Rodrigues, Nuno Cunha. "The regulation of collaborative economy in the european union." UNIO – EU Law Journal 5, no. 1 (June 13, 2019): 40–53. http://dx.doi.org/10.21814/unio.5.1.249.

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Анотація:
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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2

Rowe, Pia C. M. "Beyond Uber and Airbnb: The Social Economy of Collaborative Consumption." Social Media + Society 3, no. 2 (April 2017): 205630511770678. http://dx.doi.org/10.1177/2056305117706784.

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Анотація:
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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3

Lu, Qi, Miao Lu, and Hyungsik Kahn. "The Sharing Economy: A Review and Agenda for Future Research." Institute of Global Business Research 34, no. 1 (December 31, 2022): 1–35. http://dx.doi.org/10.46775/jgbr.2022.34.1.01.

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Анотація:
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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4

Avdokushin, YEvgyeniy, and Elena Kuznecova. "Sharing Model as a Determinant Factor of Modern Business." Bulletin of Kemerovo State University. Series: Political, Sociological and Economic sciences 2022, no. 2 (July 5, 2022): 201–11. http://dx.doi.org/10.21603/2500-3372-2022-7-2-201-211.

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Анотація:
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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5

Leighton, Patricia. "Professional self-employment, new power and the sharing economy: Some cautionary tales from Uber." Journal of Management & Organization 22, no. 6 (November 2016): 859–74. http://dx.doi.org/10.1017/jmo.2016.30.

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Анотація:
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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6

Toivola, Tuija. "Sharing Economy Startups: New Wave of Networked Business Models in the Changing World." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 4 (2018): 12–19. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.34.3002.

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Анотація:
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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7

Sarkar, A., M. Koohikamali, and 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 (October 19, 2017): 107–14. http://dx.doi.org/10.5194/isprs-annals-iv-4-w2-107-2017.

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Анотація:
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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8

Bartucz, Csilla. "Can the Trust in Uber-like Platform Use Be Translated into Parcel Logistics?" ENTRENOVA - ENTerprise REsearch InNOVAtion 7, no. 1 (December 9, 2021): 398–409. http://dx.doi.org/10.54820/kxgg3223.

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Анотація:
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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9

Górriz, Carlos. "Incumbent Strategies against Collaborative Platforms." Law in Context. A Socio-legal Journal 36, no. 2 (May 19, 2020): 1–17. http://dx.doi.org/10.26826/law-in-context.v36i2.97.

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Анотація:
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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10

Bhappu, Anita D., Tea Lempiälä, and M. Lisa Yeo. "Platform Service Designs: A Comparative Case Analysis of Technology Features, Affordances, and Constraints for Ridesharing." Digital 2, no. 2 (June 5, 2022): 320–32. http://dx.doi.org/10.3390/digital2020018.

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Анотація:
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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11

Bick, Geoff. "Uber SA: disruption of the local taxi industry?" Emerald Emerging Markets Case Studies 9, no. 2 (August 6, 2019): 1–9. http://dx.doi.org/10.1108/eemcs-05-2019-0099.

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Learning outcomes Learning outcomes are as follows: to understand the repercussions of a disruptive technology, in addition to its perceived benefits; to incorporate the human element into the technology benefits; to appreciate alternate sides of an argument regarding an issue; and to analyse the cross-functional implications of an innovation that changes the “rules of the game” for doing business. Case overview/synopsis Uber, a US-based multinational, provides a real-time technology platform to enable users to utilise ride-sharing with Uber drivers. This is an example of a “shared economy” or “collaborative consumption” business model, which has disrupted the status quo of the taxi industry around the world. Uber was launched in South Africa in 2013, creating many job opportunities but causing much reaction from the taxi industry and the authorities. Complexity academic level This is a short case which can be used across a number of programmes, as most students will have had some experience or exposure to the Uber model, and is very useful as an “ice-breaker” case to introduce students to the case study method of analysis and teaching. This case can be used for undergraduate and postgraduate students in business schools or other institutions or on executive education programmes as part of a strategy, marketing, business model innovation or entrepreneurship module. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS 11: Strategy
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12

Baranowski, Mariusz. "The Sharing Economy: Social Welfare in a Technologically Networked Economy." Bulletin of Science, Technology & Society 41, no. 1 (February 2021): 20–30. http://dx.doi.org/10.1177/02704676211010723.

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Анотація:
This article attempts to descriptively characterize the impact of the sharing economy, using Uber as an example, on the social welfare of those people working via the app. For this purpose, the author proposes a theoretical concept of a technologically networked economy, which is a component of a broader heuristic model of a technologically networked reality. Furthermore, a critical review of the different approaches to the sharing economy and the diverse practices within it have been carried out. The results of the theoretical exploration of this increasingly popular phenomenon revealed parallels with the problems of nondigital labor markets in the field of the workforce. The clear separation of grassroots sharing practices from those in name only like Uber suggest that the latter do not realize social welfare more broadly than ordinary capitalist enterprises.
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13

Chiang, I. Ping, Pei-Wen Lin, and Wan-Ling Yang. "Exploring the Impacts of Sharing Economy Drivers on Consumers’ Usage Intention." Contemporary Management Research 17, no. 1 (March 31, 2021): 1–26. http://dx.doi.org/10.7903/cmr.20075.

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Анотація:
In recent years, people have begun to use sharing economy platforms such as Airbnb and Uber. The rapid development of such sharing economy platforms has thus become an important topic. Studies regarding the sharing economy have discussed resource providers but not users. Therefore, this study constructs a model to measure the components of sharing economy drivers and the correlation between those drivers and usage intention, in addition to exploring the differences in the composition of drivers and usage intention between Airbnb and Uber. The survey method was an online questionnaire. The sample analysis uses partial least squares regression to verify the hypothesis and analyze the components that form the sharing economy for drivers. According to the results, sharing economy drivers─Societal drivers, Economic drivers, Technological drivers, affect usage intention, and different combinations of sharing economy components, such as enjoyment, network externalities, perceived quality, cost saving, and efficiency, exist in Airbnb and Uber. For the reference of relevant academic research and practical operation in the future.
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14

Capdevila, Ignasi, and Matías I. Zarlenga. "Smart city or smart citizens? The Barcelona case." Journal of Strategy and Management 8, no. 3 (August 17, 2015): 266–82. http://dx.doi.org/10.1108/jsma-03-2015-0030.

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Purpose – In recent years, the term “smart city” has attracted a lot of attention from policy makers, business leaders and citizenship in general. Although there is not a unique definition of what a smart city is, it is generally accepted that “smart” urban policies refer to local governments’ initiatives that use information and communication technologies in order to increase the quality of life of their inhabitants while contributing to a sustainable development. So far, “smart city” approaches have generally been related to top-down processes of technology diffusion. The purpose of this paper is to present a broader view on “smart” initiatives to analyze both top-down and bottom-up dynamics in a smart city. The authors argue that these two perspectives are complementary and its combination can reinforce the collaboration between different city stakeholders. Top-down and bottom-up initiatives are not opposed forces but, on the contrary, can have a synergistic effect on the innovation capacity of the city. Both perspectives are illustrated by providing examples of different “smart” aspects in the city of Barcelona: smart districts, open collaborative spaces, infrastructures and open data. Design/methodology/approach – To illustrate the arguments, the authors analyze the case of the city of Barcelona providing examples of top-down and bottom-up initiatives in four different smart city aspects: smart districts, open collaborative spaces, infrastructures and open data. The research method is based on a case study (Yin, 1984). The primary data consisted on interviews to city council representatives as well as managers of local public institutions, like economic development offices, and local organizations like for instance coworking spaces. The authors interviewed also specialists on the innovation history of the city in order to validate the data. In addition, the authors used secondary data such as reports on the 22@, and documentation on the Barcelona innovation policies, as well as doing a compilation of press articles and the online content of the institutional webpages. All together, the authors have followed a data triangulation strategy to seek data validation based on the cross-verification of the analyzed data sources. Findings – The analysis suggests that the top-down and bottom-up perspectives are complementary and their combination can reinforce the collaboration between different city stakeholders. Top-down and bottom-up initiatives are not opposed forces but, on the contrary, can have a synergistic effect on the innovation capacity of the city. Both perspectives are illustrated by providing examples of different “smart” aspects in the city of Barcelona: smart districts, open collaborative spaces, infrastructures and open data. Research limitations/implications – Nevertheless, the analysis has its limitations. Even if the authors have emphasized the importance of the bottom-up initiatives, citizens do not have often the resources to act without governmental intervention. This is the case of services that require high-cost infrastructures or regulatory changes. Also, as it usually happens in the case of disruptive technology, it is hard for citizens to understand the possibilities of its use. In these cases, firms and institutions must play an important role in the first phases of the diffusion of innovations, by informing and incentivizing its use. It is also important to note that some of the emerging usages of technology are confronted to legal or regulatory issues. For instance, distributed and shared Wi-Fi networks might be in opposition to economic interests of internet providers, that often difficult its expansion. It is also the case of services of the sharing economy that represent a menace to established institutions (like the tensions between Uber and taxi companies, or Airbnb and hotels). In these cases, city halls like it is the case in Barcelona, tend to respond to these emergent uses of technology by regulating to ensure protection to existing corporate services. Practical implications – In conclusion, the transformational process that leads a city to become a smart city has to take in consideration the complexity and the plurality of the urban reality. Beyond considering citizens as being users, testers or consumers of technology, local administrations that are able to identify, nourish and integrate the emerging citizens’ initiatives would contribute to the reinforcement of a smart city reality. Originality/value – The contribution of the paper is to go beyond the generalized technologic discourse around smart cities by adding the layer of the citizens’ initiatives.
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15

Boateng, Henry, John Paul Basewe Kosiba, and Abednego Feehi Okoe. "Determinants of consumers’ participation in the sharing economy." International Journal of Contemporary Hospitality Management 31, no. 2 (February 11, 2019): 718–33. http://dx.doi.org/10.1108/ijchm-11-2017-0731.

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Анотація:
Purpose Consumers’ intentions to participate in the sharing economy have received much attention from researchers in recent times. However, little attention has been paid to consumers’ actual participation in the sharing economy. The purpose of this paper is to examine the factors that drive customers in Ghana to use Uber. Design/methodology/approach The authors used surveys as the research design. There were 500 participants who were users of Uber. Data were collected through self-administered questionnaires. Findings The findings of this study show that trust, customer return on investment and search convenience are the key factors that contribute to riders’ usage of Uber service. Furthermore, this study shows that consumers’ need for prestige and social connection do not play a significant role in consumers’ (riders’) usage of Uber services. Originality/value Studies investigating consumers’ participation in the sharing economy from an emerging economy context using the social exchange theory is limited. This study identifies elements of the economic and socio-emotional dimensions of the social exchange theory and the strength of their impact on people’s participation in the sharing economy.
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16

Abhari, Kaveh, Elizabeth J. Davidson, and Bo Xiao. "Collaborative innovation in the sharing economy." Internet Research 29, no. 5 (October 7, 2019): 1014–39. http://dx.doi.org/10.1108/intr-03-2018-0129.

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Анотація:
Purpose With the emergence of the sharing economy paradigm, the process of innovation is no longer unidirectional, but cyclical. This paradigm shift requires a better understanding of social actors to fully leverage the promise of co-innovation in the sharing economy. To this end, the purpose of this paper is to develop a classification model to profile social actors based on their motivation to participate in different co-innovation activities. Design/methodology/approach A preliminary case study was first conducted to identify actors’ motivations to continuously participate in co-innovation activities. Next, a survey was administrated to validate the measurement model and then a discriminant analysis was run on a sample of 244 actors to classify actors based on their willingness to participate in three forms of co-innovation activities. Lastly, the resultant classifiers were cross-validated. Findings The results indicate that financial gains, entrepreneurship and learning are significant predictors of ideation (sharing new ideas). Enjoyment and learning are strong indicators of collaboration (sharing knowledge or experience), whereas networking, enjoyment, and altruism are most strongly related to socialization (sharing network and connections). These findings highlight three classes of social actors – ideators, collaborators and networkers – based on motivational differences. Originality/value Co-innovation among individual inventors is an understudied aspect of the sharing economy. This study provides a theoretically parsimonious classification model to profile social actors, predict the sharing activities in co-innovation networks, and highlight the importance of platform design to appeal to different classes of potential contributors in collaborative innovation.
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17

Hansen Henten, Anders, and Iwona Maria Windekilde. "Transaction costs and the sharing economy." INFO 18, no. 1 (January 11, 2016): 1–15. http://dx.doi.org/10.1108/info-09-2015-0044.

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Анотація:
Purpose The paper aims to discuss the so-called sharing economy from a business modeling and industrial structure perspective. The illustrative cases examined are Airbnb and Uber. The research question raised is concerned with the extent to which transaction cost theory can be used to explain the changing industrial structures in the application areas that the Internet-based platforms are addressing and how other theoretical frameworks can be helpful in understanding these developments. Design/methodology/approach As the sharing economy topic is relatively new, the paper takes its point of departure in a brief overview of the different issues discussed in the academic literature and the press regarding this emerging phenomenon. The paper presents relevant theoretical approaches to analyzing business models of sharing platforms and industrial structure implications. It, thereafter, presents the cases of Airbnb and Uber to discuss the relevance of the theories put forward. Findings The paper concludes by proposing a theoretical framework for analyzing the structural implications of the sharing economy based on theories on multi-sided platforms, transaction costs and substitution and complementation. Research limitations/implications The research implications are to establish a comprehensive theory framework for analyzing the development of commercial sharing platforms. Originality/value The originality and value of the paper is related to the novelty of topic and the development of a theory framework for analyzing the business models of commercial sharing platforms. Only little has been written from an academic analytical perspective on the sharing economy, and there is a need for developing a coherent framework for analyzing these developments.
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18

Cverlin, Monika. "Regulating digitalization: Sharing economy and the case of Uber in Dubrovnik." Contemporary Mediterranean 1, no. 1 (January 2022): 40–57. http://dx.doi.org/10.17818/sm/2021/1.3.

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Анотація:
People have become the part of the digital society in which globalization has found channels to be spread. Because of the frequent use of technology, large number of innovations involve platforms and applications. Those new technological changes influence people in many ways and they call for rapid policy development in order to be effective. Governments need to learn to respond adequately to the new trends digitalization is bringing. One of those trends is the sharing economy. As a technological and innovative trend, it is still struggling with the regulation and meaning of the term. Uber, as one of the most successful platforms of the sharing economy has also dealt with regulation issues. The first part of the article introduced the regulatory challenges that digitalization brought as well as explained what the sharing economy meant. It also analyzed regulation problems that Uber has been facing in numerous countries, with special emphasis on Croatia. The second part of the article dealt with how citizens have accepted Uber. The author has conducted a survey in Dubrovnik in which was shown that citizens prefer Uber as sharing economy platform and also pointed out why.
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19

Colleoni, Elanor, Nuccio Ludovico, Illia Laura, and Ravindran Kiron. "Does Sharing Economy Have a Moral Capital? Comparing Semantic Networks in Social Media and News Media." Journal of Management and Sustainability 11, no. 2 (May 13, 2021): 1. http://dx.doi.org/10.5539/jms.v11n2p1.

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Анотація:
Sharing Economy organizations appear to enjoy positive moral capital associated with supporting local entrepreneurs, the economy, and the environment. However, they operate in a regulatory limbo allowing them to engage in business practices that would not be permitted in other sectors. Hence a question remains: Does Sharing Economy (SE) have a moral capital? To explore whether the sharing economy has a moral capital, we explored the discussions around Uber after a number of scandals in 2017 in news media and on Twitter. Our findings show that news media play a critical role in developing and maintaining a positive moral capital of Uber, while the general public on Twitter tend to be more negative and do not afford SE much moral capital.
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20

Valente, Eduardo, Roberto Patrus, and Rosana Córdova Guimarães. "Sharing economy: becoming an Uber driver in a developing country." Revista de Gestão 26, no. 2 (May 7, 2019): 143–60. http://dx.doi.org/10.1108/rege-08-2018-0088.

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Purpose The purpose of this paper is to analyze why people have become suppliers in the sharing economy (SE) as Uber drivers in a developing country. Design/methodology/approach From a background on SE, car sharing and gig economy, the authors carried out a qualitative research. The analysis was based on 20 semi-structured interviews conducted with Uber drivers, and on the authors’ participant observation as Uber drivers and passengers in the third largest Brazilian city, Belo Horizonte. Findings Empirical evidence shows that becoming an Uber driver is more a matter of solving unemployment on a more permanent way rather than a search for a temporary and flexible work to supplement income. Although there are benefits related to flexibility, income and social interactions, negative externalities identified herein lead to the conclusion that the overall work relations and conditions are negative. Originality/value Much in the literature of the SE is focused on understanding consumer behavior; this research, on the contrary, is focused on understanding producers, which indicates an incipient perspective. The contributions of this paper show that the SE merges into different distributive decentralized means of production that are seeing as profit/income generated from shareable assets.
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21

Vlacic, Patrick, and Jernej Štromajer. "Taxi Cooperatives as an Alternative to Uber." Lex localis - Journal of Local Self-Government 18, no. 3 (August 2, 2020): 449–67. http://dx.doi.org/10.4335/18.3.449-467(2020).

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The advancement of technology and digitization has enabled the development of online platforms that represent the basis of the emerging sharing economy. Critics of the sharing economy argue that these online platforms do not serve the interests of their users, but mainly the interests of their owners and investors. That is why they propose fostering the development of an alternative to the currently predominant business model within the sharing economy, in the form of online platform cooperativism. The Uber global corporation and local taxi cooperatives are presented as model examples. To serve the interests of its investors and owners, Uber is changing the existing taxi industry, resorting to tax optimisation techniques and evading current regulations, while local taxi cooperatives act in the interests of their members and in compliance with cooperative principles, embodying a well-functioning alternative to Uber.
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22

Pollio, Andrea. "Forefronts of the Sharing Economy: Uber in Cape Town." International Journal of Urban and Regional Research 43, no. 4 (May 22, 2019): 760–75. http://dx.doi.org/10.1111/1468-2427.12788.

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23

Grimmer, Louise, and Oskaras Vorobjovas-Pinta. "From the sharing economy to the visitor economy: the impact on small retailers." International Journal of Tourism Cities 6, no. 1 (August 7, 2019): 90–98. http://dx.doi.org/10.1108/ijtc-01-2019-0015.

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Purpose The visitor economy is increasingly being recognised by local authorities, governments and destination marketing managers as having a significant effect on local retail precincts. This research note proposes that there is a link between the rise of the sharing economy (notably Airbnb) and the growing awareness and appreciation of the impact of the visitor economy. The purpose of this paper is to provide an example of the marketing efforts of a specific retail precinct to attract visitors engaged in the sharing economy. Design/methodology/approach The approach taken involves a review of the literature pertaining to the sharing and visitor economies. Using an example from an Australian tourist city – Hobart, Tasmania, this research reviews a collaborative marketing campaign undertaken by retailers in a city precinct designed to appeal to stakeholders in the visitor economy. Findings Shopping at local stores and retail precincts form an integral part of the travel experience. This research note offers an overview of the nexus between the sharing and visitor economies. In particular, it presents the potential implications of collaborative marketing efforts to attract visitors to a retail precinct. It is suggested that the development of new marketing and branding strategies, specifically retailer-led collaborative efforts, are a positive approach to attract stakeholders involved in the sharing and visitor economies. Originality/value This research note is one of the first to recognise the relationship between the rise of the sharing economy and the subsequent conceptualisation of a visitor economy. This note recognises the particular importance of the nexus between the sharing and visitor economies for retail precincts.
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24

Avdokushin, Evgenii F., and Elena G. Kuznetsova. "ECOSYSTEMS OF THE SHARING ECONOMY." RSUH/RGGU Bulletin. Series Economics. Management. Law, no. 4 (2021): 83–100. http://dx.doi.org/10.28995/2073-6304-2021-4-83-100.

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The article analyzes the state and prospects of creating ecosystems in the sharing model – the economy of collaborative consumption (CCE) and sharing (SE). The authors show that the creation of ecosystems is most promising in the SE segment, although individual ecosystems can be formed and used in the CCE segment. Examples of foreign and Russian experience in creating such ecosystems are considered. The article provides a critical analysis of the points of view of foreign authors on the mixing of the principles of the functioning of the sharing economy and the cooperative, collaborative activities of companies. Sharing in many foreign publications is often commercialized while ignoring or obscuring its social essence. Sharing ecosystems are equated to the ecosystems of large corporations (financial, bigtechs), which, as the practice of their functioning testifies, lead to monopolization. At the same time, the sharing model, identified with simple cooperation, collaboration, “fits” into the model of a modern market economy. In Russia, ecosystems are created more often on the basis of large banks, and abroad on the basis of bigtechs. The marketplace model plays a significant role in the formation of ecosystems. In Russia, few of the companies operating according to the sharing model manage to create their own ecosystem, especially in the CCE segment.
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25

Hasan, Noman, Abdul Gaffar Khan, Mohammad Awal Hossen, and Ariful Islam. "Ride on Conveniently!" International Journal of E-Adoption 13, no. 2 (July 2021): 19–35. http://dx.doi.org/10.4018/ijea.2021070102.

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This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.
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26

Kim, Hyun J., and Chan S. Suh. "Spreading the sharing economy: Institutional conditions for the international diffusion of Uber, 2010-2017." PLOS ONE 16, no. 3 (March 9, 2021): e0248038. http://dx.doi.org/10.1371/journal.pone.0248038.

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This study examines the factors that facilitated the international diffusion of Uber, one of the fastest growing global companies in the sharing economy. We particularly focus on the legal and institutional conditions under which this ride-sharing platform could spread to customers online. Using a unique cross-national, longitudinal dataset, we employ event history models to investigate the effect of institutional environment on the diffusion of Uber. The results suggest that the establishment of the rule of law has a positive impact on the spread of Uber, even after controlling for economic and political characteristics. In addition, the overall quality of governmental regulations on markets is positively related to the diffusion of this ride-sharing platform. Our study contributes to the emerging literature on the sharing economy by identifying critical institutional factors that enable the transformation of business models worldwide.
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27

Lee, Zach W. Y., Tommy K. H. Chan, M. S. Balaji, and Alain Yee-Loong Chong. "Why people participate in the sharing economy: an empirical investigation of Uber." Internet Research 28, no. 3 (June 4, 2018): 829–50. http://dx.doi.org/10.1108/intr-01-2017-0037.

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Purpose The purpose of this paper is to examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy. Design/methodology/approach A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling technique. Findings The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber. Research limitations/implications This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research. Practical implications The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy. Originality/value This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.
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28

Duerringer, Christopher Michael. "Rhetorical Arbitrage: The Rhetoric of the Sharing Economy." Communication Theory 29, no. 4 (December 15, 2018): 383–400. http://dx.doi.org/10.1093/ct/qtz005.

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Abstract This article extends the growing conversation on the rhetoric of economics through a critical analysis of the rhetoric of the “sharing economy” firm Uber. After reconfiguring the economic concept of arbitrage from a rhetorical perspective, I demonstrate the means by which “ride sharing” services exploit their customers and workers. Ultimately, I contend that Uber’s rhetoric works by deploying the language of the private sphere in order that the company can operate like a taxi company even as it evades the obligations that ordinarily attach to providing taxi service to the public.
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29

Popescu, Catalin Kanty, and Judit Olah. "USE OF THE BLAND-ALTMAN PLOT FOR GRAPHICAL DEMONSTRATION OF RESULTS IN THE SHARING ECONOMY." Ekonomicko-manazerske spektrum 14, no. 2 (December 30, 2020): 90–99. http://dx.doi.org/10.26552/ems.2020.2.90-99.

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Today, the sharing economy is a widely discussed topic where people ask themselves what it is, how it works, and what it brings to the society. It occurs in many social spheres; this research paper focuses on the sharing economy in the field of transport. The sharing economy is a phenomenon of the 21st century; the fact that it is a very current topic is also evidenced by the amount of related research published in the databases. This paper aims to apply the BlandAltman model, commonly used in medicine, to the sharing economy. Its aim is to point out the functionality and possibilities of using non-traditional approaches in various areas of study. The introduction describes the sharing economy and the latest publications dealing with it in the field of transport, with a focus on Uber. The methodology section describes the Bland-Altman model and the authors who discuss it. In the results section, we offer the results of the application of the Bland-Altman model on the data obtained from 110 Uber rides in Prague. In addition to this method, regression analysis was also applied. The discussion and conclusion section summarizes the results and mentions essential publications in the field.
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30

Pera, Jacek. "Sharing economy as the new paradigm of the economy of the future. Risk analysis." Central European Review of Economics & Finance 23, no. 1 (February 28, 2018): 13–33. http://dx.doi.org/10.24136/ceref.2018.002.

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Sharing economy is cooperation and sharing based on providing the opportunity to access goods and services to those, who precisely need such a service. This paper attempts to organise the yet unsettled areas of sharing economy that today determine its risk and make it ambiguous, unequal, unfair and objectionable in the eyes of many a business environments. The aim of this article is to analyze the risk associated with sharing economy. To fulfil this aim the author has discussed: the paradigm of consumption and the common good in the context of the economy of the future, the etymology of the term of sharing economy and identification of risk that is linked with this phenomenon. The studies were divided into two parts: the first concerns theoretical risk analysis of the functioning of sharing economy based on subject literature; the second part is a practical analysis of the risk of the impact of sharing economy on the Polish labour market on the example of UBER application. The following research hypothesis was adopted in the paper: The risk of impact of sharing economy on the labour market in Poland is of little significance. The analysis allowed to identify the following risk types in the number of twenty, which are present today in sharing economy: Unequivocal and coherent concept, Data safety, Taxes, Law regulations, Quality, Service performance guarantee, Pursuing claims, Employees rights, Responsibility for clients, Grey market, Competitiveness, Relations: sharing - business, Licences and permissions, Employment relationship, Deflation, Consumer rights protection, Employment, Abuse, Mentality, Sales. A risk analysis of the effects of sharing economy on the Polish labour market showed that this phenomenon was of low significance in the analysed period.
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31

Suszyńska, Katarzyna, Piotr Lis, and Zuzanna Rataj. "My home is no longer my castle. Collaborative housing as an element of sharing economy." Acta Scientiarum Polonorum Administratio Locorum 21, no. 3 (August 30, 2022): 447–57. http://dx.doi.org/10.31648/aspal.7645.

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Collaborative housing is considered a long-term housing option based on the idea of sharing space in a community-boosting manner. Residents share areas like laundry, utility or leisure rooms. On this basis the authors argue that housing may be treated as a commodity that could be shared just like sharing economy goods are. Thus the aim of this study is to evaluate the potential of collaborative housing from the sharing economy perspective. To achieve the aim, concepts of Curtis and Lehner (2019) and Curtis (2021) were applied to check what collaborative housing lacks to become a fully-fledged sharing economy entity. Apart from the nature of housing, which is by no means a fast moving consumer good, the lack of a digital platform that is the basis of most sharing economy entities, is the most visible difference between collaborative housing and sharing economy entities. Moreover, a questionnaire survey was conducted among prospective housing market users in Poland to check their awareness and readiness for this housing option. The research findings confirmed that they are still very low among housing market participants and private property is still considered considerably better than shared property. However, a tighter connection between collaborative housing and the sharing economy may provide the impetus for the young generation to enter this form of housing. The study is a contribution to the debate on collective housing options in Europe and may be considered novel as it attempts to conceptualize and position collaborative housing within the sharing economy context.
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32

Dudley, Geoffrey. "Creative destruction and the sharing economy. Uber as disruptive innovation." Transport Reviews 38, no. 5 (August 16, 2017): 679–81. http://dx.doi.org/10.1080/01441647.2017.1365277.

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33

Bhappu, Anita D., and Ulrike Schultze. "The sharing economy ideal." Internet Research 29, no. 5 (October 7, 2019): 1109–23. http://dx.doi.org/10.1108/intr-02-2018-0078.

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Purpose Bridging noted gaps in the sharing economy and corporate social responsibility (CSR) literatures, the purpose of this paper is to investigate how an organization-sponsored sharing platform – a new class of information technology (IT) and the sharing economy ideal – is given meaning as a CSR program for internal stakeholders. Design/methodology/approach The research involves phone interviews conducted with site coordinators of the Zimride by Enterprise® ridesharing platform in 25 organizations. Findings This case study reveals that two component processes of organizational sensemaking – sensegiving and sensebreaking – are underlying micromechanisms used by organizations to enact a sponsored sharing platform as a CSR program. Qualitative analyses demonstrate that every meaning given to Zimride remained open to sensebreaking during its implementation. As such, site coordinators were continuously drawn into sensemaking about Zimride’s cognitive, linguistic and conative dimensions as a CSR program and had to exert ongoing effort to stabilize its socially (re)constructed meaning within their organization. Furthermore, site coordinators’ sensegiving narrative about Zimride was often undermined by their sensebreaking communications and organizational actions, albeit unintentionally. Research limitations/implications Sponsoring a sharing platform to facilitate collaborative consumption can deliver triple bottom line benefits for both organizations and their members, but it may not. The key to accruing this potential shared value lies is how site coordinators navigate organizational sensemaking about these IT-enabled CSR programs. Originality/value This paper provides valuable insights into these sensemaking processes and develops a prescriptive framework for enacting an organization-sponsored sharing platform as a CSR program.
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34

Ferro, Miguel Sousa. "Uber Court: a look at recent sharing economy cases before the CJEU." UNIO – EU Law Journal 5, no. 1 (June 13, 2019): 68–75. http://dx.doi.org/10.21814/unio.5.1.251.

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This paper describes and discusses the two recent judgments of the CJEU regarding the clarification of the concept of information society services, both of which concern Uber. Although theses cases concern Uber, what is, a contrario, important to consider from the case-law is the broader context of the implication(s) of this case-law for EU law and the national regulation of the new sharing economy services – namely in what may affect the pending Airbnb case.
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35

Bruno, Bruna, and Marisa Faggini. "Sharing Economy: For an Economic Taxonomy." International Journal of Economics and Finance 9, no. 6 (May 25, 2017): 174. http://dx.doi.org/10.5539/ijef.v9n6p174.

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Sharing economy is an emerging phenomenon without a consolidated economic approach. We focus on main economic characteristics of sharing economy, as a category of peer-to-peer markets, which include collaborative consumption and redistribution markets. Peer-to-peer markets create a positive externality when exploiting idling capacity, adding further exchange advantages to those usually related to classical two-sided markets. Sharing economy differs from peer-to-peer redistribution markets, where a transfer of full ownership of goods occurs, because goods are used to provide services excludable but non-rivalrous. Problems arising from sharing economy growth are briefly analysed.
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36

Cui, Miao, and Sitara Aziz. "Whether sharing economy creates social value?" Journal of Science and Technology Policy Management 10, no. 3 (October 2, 2019): 642–66. http://dx.doi.org/10.1108/jstpm-05-2018-0048.

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Purpose The purpose of this paper is to look at the insights of the value of the society influenced by sharing economy (SE). The study focused on both the benefits and flaws of SE by using the case of renowned SE platform “Uber” to come up with a holistic perspective of these effects from both the facets. Design/methodology/approach This study collects data from demand and supply side using interview and questionnaire. Then the grounded theory is adopted to analyze interview data and come up with six major research constructs. Further, quantitative analyses methods are applied on questionnaires to test “whether sharing economy creates social value” and to approximately estimate the extent to which sharing is economy influencing social value. Findings Findings suggested that, when only drivers were inquired about positive and negative effects of SE, positive effects were dominant. Also, when passengers were asked their opinion was also in favor of positive effects. From quantitative data analysis, the major factor significantly influencing the sustainability of the SE was “efficiency.” “Security issues and regulatory issues” were the prime negative factors, though again there was not enough statistical evidence to validate their significance. The authors hereby conclude that the positive contribution of SE is more, and it is increasing the values of the society. And the positive effects were twice significant than the negative effects. Originality/value Theoretically, the study contributes to finding both the helpful and harmful effects of SE on the values of the society. Practically, it suggests that governments should allow growth of SE under proper regulations. And car-sharing companies should focus on solving the security issues and regulatory issues.
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37

Singh, Geeta, Rishi Dwesar, and Satish Kumar. "Uber’s bumpy ride in China." CASE Journal 16, no. 2 (April 11, 2020): 185–214. http://dx.doi.org/10.1108/tcj-03-2018-0040.

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Theoretical basis The purpose of this paper is to explore all the strategies adopted by Uber China to gain more and more market shares of Chinese markets. It included localization of its core product, adaptation to Chinese demands and tying up with different Chinese companies. Research methodology The case study has been prepared after thoroughly studying Uber’s business in China. Secondary data is collected from credible sources such as the Uber website, newspapers, interviews and journal publications. This data helped in arriving at a basic understanding of the company, its objectives, strategies and the business model. The strategies formulated by Uber and the challenges it faced while operating in China are studied and explained based on this secondary data. Various published papers, reports released by reputed organizations and universities, interviews of managers and experts and research papers were also used to develop this case. Case overview/synopsis This case is developed considering the bent of today’s consumers toward sharing economy. The scope of businesses based on the concept of sharing economy is very wide and is increasing. China’s sharing economy sector was one of the fastest economies in the world. The case chronicles ride of Uber in China: from its entry in the country, strategies adopted, challenges faced and to the exit from China. Complexity academic level International business management at the undergraduate and postgraduate programs in management
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38

Wong, Ashley Lee. "Artists in The Creative Economy." A Peer-Reviewed Journal About 7, no. 1 (July 6, 2018): 114–26. http://dx.doi.org/10.7146/aprja.v7i1.116059.

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Today the algorithmic moves off the white- board and into the world, producing subjectivities, articulating relationships, and shaping behaviours. Yet to obtain its objectives, the algorithmic must draw upon bodies, flows, and materials — matter which is contentious and agents which have their own intentionalities. Efficacy cannot simply be assumed, but must be incessantly negotiated via a set of procedures. What are the operations needed to incorporate subjects and spaces into regimes of algorithmic coordination? By examining the ride-sharing platform Uber as a case-study, three operations are identified as critical: encapsulation, enlistment and enchantment. When these operations are incomplete, algorithmic traction on a subject slips away, producing an array of undesired and unanticipated effects.
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39

Hatzopoulos, Vassilis, and Sofia Roma. "Caring for sharing? The collaborative economy under EU law." Common Market Law Review 54, Issue 1 (February 1, 2017): 81–127. http://dx.doi.org/10.54648/cola2017004.

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The advent of the collaborative economy is what economists call “disruptive innovation” while some even talk of “the fourth industrial revolution”. This revolution started in the US and is now making its way into the EU. The aim of the present article is to outline, explore and analyse the way EU regulation applies/may apply to the collaborative economy. In the first part we rehearse the reasons for, and the ways of, the development of the collaborative economy. We also discuss the various regulatory reactions it has (or has not) triggered, so far, in the US and the EU. In the second part we examine the way the various EU rules may apply to those participating in the collaborative economy, i.e. the platforms, “prosumers” and consumers. We conclude by addressing the way regulation could or should evolve in this area.
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40

Acosta, Libardo, Carlos Tello-Castrillón, José Londoño-Cardozo, and Luisa Fernanda Rengifo Pasiminio. "Sharing Economy: The new economic institution." Nova Economia 32, no. 1 (April 2022): 205–30. http://dx.doi.org/10.1590/0103-6351/6508.

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Abstract Sharing Economy is a new economic institution. This conclusion was reached from a thorough analysis of institutional theory and Schumpeter's proposal on consumption and technological revolutions. This is not a minor issue given its current importance and users’ trend, due to its institutionalization, towards the use of digital platforms for obtaining products and services. These platforms, called peer to peer or p2p, reduce uncertainty and build trust between the parties, while providing decision elements and analysis information. The platforms one of the key elements of this institution. The text deals with the main authors on collaborative consumption, their institutional status and their existence as a mechanism that allows addressing the social optimum, the super decisive agent of Harsanyi and the forms of consumption.
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41

Anwar, Syed Tariq. "Growing global in the sharing economy: Lessons from Uber and Airbnb." Global Business and Organizational Excellence 37, no. 6 (September 2018): 59–68. http://dx.doi.org/10.1002/joe.21890.

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42

CASTIBLANCO, DEISY. "PRÁCTICAS DE ASEGURAMIENTO CORPORATIVO EN LAS PLATAFORMAS TECNOLÓGICAS DE COLABORACIÓN – ECONOMÍA COLABORATIVA." Pensamiento Republicano 10 (February 1, 2019): 121–34. http://dx.doi.org/10.21017/pen.repub.2019.n10.a52.

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A ghost travels the entire world. This is the socalled collaborative economy that, as they confirmed, will move 235,000 million dollars in 2025. The idea of ??that ghost, which is defined as an economic system in which goods and services are shared and exchanged, through platforms digital The list of applications is innumerable around the world, Airbnb, Uber, Lyft, BlaBlaCar, GuesttoGuest, Parkfy, Unnea, in Colombia there are several, the most popular OLX, Uber, Airbnb, Rappi, Didi, Picap, Beat, Ubet eats among many more options of this so-called collaborative economy. This economy facilitates the needs, practical cravings of the daily life of citizens in terms of transportation, food, travel and tourism services, fun just by entering the cell phone and waiting for them to do things for you, however there are consequences at a social, economic level and environmental of this great technological innovation and economy model, which is necessary to know in depth to determine the impact and whether or not there is regulation by the competent Colombian entities.
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43

Passaro, Nicholas. "How Meyer v. Uber Could Demonstrate That Uber and the Sharing Economy Fit into Antitrust Law." Michigan Business & Entrepreneurial Law Review, no. 7.2 (2018): 259. http://dx.doi.org/10.36639/mbelr.7.2.how.

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Recently, Uber driver (and former Uber CEO) Travis Kalanick has been sued under antitrust laws. The plaintiffs argue that Mr. Kalanick and the other Uber drivers have engaged in a price fixing arrangement that violates §1 of the Sherman Act. The case, Meyer v. Uber (originally Meyer v. Kalanick), is still being litigated. This Comment will analyze each side’s potential arguments and will ultimately conclude that the court should find Uber drivers not guilty of a Sherman Act violation. This determination will be based on: the merits of the various arguments, how such a holding would fit within the history of antitrust law, and how it would set effective precedent for the future. Additionally, this Comment argues that Uber’s place in the sharing economy distinguishes it from previous antitrust violators the plaintiffs will likely analogize it to.
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44

Huang, Shiu-Li, and Shu-Yu Kuo. "Understanding why people share in the sharing economy." Online Information Review 44, no. 4 (April 22, 2020): 805–25. http://dx.doi.org/10.1108/oir-03-2017-0073.

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PurposeThe sharing economy is an emerging trend that takes advantage of underused assets and generates enormous amount of economic value. However, little research has been done to understand the factors that drive people to share assets.Design/methodology/approachThis study develops two models, one based on the theory of planned behavior (TPB) and another based on social capital theory (SCT), to explain why individuals want to share their assets with others. An Internet survey is conducted to collect data and test the proposed models. Most of respondents were members of Airbnb or Uber – accommodation sharing and taxi services.FindingsThe results show that the TPB model has greater explanatory power than the SCT model. The individual's motivations, attitude, perceived behavioral control, facilitating technological conditions and identification with the community increase their intention to share assets.Originality/valueThis study distinguishes asset suppliers from consumers to clearly understand the factors that influence the intention to provide underused assets. The research findings can help companies participating in the sharing economy to induce people to share.
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45

Molobi, Lemohang, Sajal Kabiraj, and Md Nur Alam Siddik. "Behavioural Intention Factors Influencing Sharing Economy Innovations: An Exploratory Research of Uber in South Africa." Metamorphosis: A Journal of Management Research 19, no. 1 (June 2020): 42–58. http://dx.doi.org/10.1177/0972622520963253.

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This research explores factors associated with the use of the Uber application, a successful sharing economy innovation, in South Africa. The exploratory research adapted a technology acceptance model with two other factors, perceived risks and company characteristics on behavioural intention to utilize Uber. Using a survey data of 396 respondents, this research empirically finds that ease of use, company characteristics, attitude, perceived usefulness, and level of education have significant positive impacts on behavioural intention to use Uber applications. Meanwhile, gender and age groups have negative impacts on behavioural intention. Furthermore, the study found that perceived risk has a negative impact on behavioural intention to use Uber. The research findings are of significance for management on how user insights can be applied to take advantage of new prospects to innovate and to expand their businesses and for policymakers on how to seize the opportunities presented by such innovation and develop appropriate policy frameworks.
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46

Möhlmann, Mareike. "Collaborative Consumption: Reasons for Choosing a Sharing Economy Option." Academy of Management Proceedings 2015, no. 1 (January 2015): 12728. http://dx.doi.org/10.5465/ambpp.2015.12728abstract.

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47

Viglia, Giampaolo. "The sharing economy: Psychological mechanisms that affect collaborative consumption." Psychology & Marketing 37, no. 5 (April 20, 2020): 627–29. http://dx.doi.org/10.1002/mar.21358.

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48

Hamari, Juho, Mimmi Sjöklint, and Antti Ukkonen. "The sharing economy: Why people participate in collaborative consumption." Journal of the Association for Information Science and Technology 67, no. 9 (June 2, 2015): 2047–59. http://dx.doi.org/10.1002/asi.23552.

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49

Ertz, Myriam, and Emine Sarigöllü. "Assessing the Potential of Sustainable Value Chains in the Collaborative Economy." Sustainability 11, no. 2 (January 14, 2019): 390. http://dx.doi.org/10.3390/su11020390.

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The current business paradigm entails a narrow, profit-centered and managerially-focused nature. This article proposes that the study of the collaborative economy necessitates an inevitable shift in the conventional business paradigm and suggests that the institutional school of marketing thought, in general, and the electric theory of marketing, in particular, offers a useful theoretical framework for investigating the theoretical impact of the collaborative economy on the value chain. Uber is used as an illustrative case, on which the electric theory of marketing is applied, to demonstrate how the archetype of the collaborative economy theoretically impacts the value chain and contributes to sustainability in the value chain in the transportation services industry. The study provides further insights in the form of suggestions and propositions for ensuring sustainability in the value chain of collaborative systems.
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50

Peticca-Harris, Amanda, Nadia deGama, and M. N. Ravishankar. "Postcapitalist precarious work and those in the ‘drivers’ seat: Exploring the motivations and lived experiences of Uber drivers in Canada." Organization 27, no. 1 (February 28, 2018): 36–59. http://dx.doi.org/10.1177/1350508418757332.

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In this inductive, qualitative study, we observe how Uber, a company often hailed as being the poster-child of the sharing economy facilitated through a digital platform may also at times represent and reinforce postcapitalist hyper-exploitation. Drawing on the motivations and lived experiences of 31 Uber drivers in Toronto, Canada, we provide insights into three groups of Uber drivers: (1) those that are driving part-time to earn extra money in conjunction with studying or doing other jobs, (2) those that are unemployed and for whom driving for Uber is the only source of income, and (3) professional drivers, who are trying to keep pace with the durable digital landscape and competitive marketplace. We emphasize the ways in which each driver group simultaneously acknowledges and rejects their own precarious employment by distancing techniques such as minimizing the risks and accentuating the advantages of the driver role. We relate these findings to a broader discussion about how driving for Uber fuels the traditional capitalist narrative that working hard and having a dream will lead to advancement, security and success. We conclude by discussing other alternative economies within the sharing economy.
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