Search results

Consumer adoption of shared products is a prerequisite for successful commercialization. The purpose of this paper is to explore what innovative characteristics of entity shared products can accommodate consumers' concerns and are likely to motivate adoption of consumers.

This paper used a conceptual model that combined the innovation diffusion theory and technology acceptance model to explore shared products adoption. It identified the direct and indirect effects of perceived app ease of use/online, perceived convenience of access/offline, perceived utility advantages and personal innovativeness on shared products adoption intention. Structural equation modeling was used for analyzing the questionnaire data from a sample of 479 users who used entity shared products such as shared cars, shared bicycles and shared power banks for mobile phones.

The empirical tests indicate that perceived utility advantages based on market innovation, perceived accessibility of usage rights based on technology innovation (including perceived app ease of use/online and perceived convenience of access/offline) and consumer personal innovativeness are the key factors affecting consumer adoption.

This paper constructs an innovation-adoption coupling model of entity shared products to understand shared products usage. The findings provide useful practical guidance for the design and development of shared products and “usage rights economy” business applications.

In recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers.

To address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics.

Spatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported.

These results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods.

The study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.

In this study, it is aimed to examine do-it-yourself (DIY) practices from sustainable and entrepreneurship perspectives and to understand how transformation mechanism works in between altruistic and utilitarian tendencies in shared economy market conditions. Meaning, material and competency of practice theory will be indicative in explaining transformation of existing practices, how practice is transformed and diffused in market ecosystem through the introduction of new objects and opportunities to better understand how values and meanings change.

This study is a phenomenological research interested in explaining contingency of sustainability in between altruistic and market conditions in shared economy ecosystem through DIY practices. The sample of this study is made up of 15 participants actively carrying out DIY activities. Data is analysed with MAXQDA Analytics Pro 2018 program through grounded coding technique.

DIYers' relationship with market results them to create roles subject to their dependence on altruistic values of sustainability and their stance to anti-consumption in between alternative and mainstream economy. When they converge to the market, DIY activities turn into medium of marketing activities. When they diverge from the market, they become “transformers” embracing principles of shared economy. Contingency appears depending on three conditions: one is related with active participation in DIY or market practices. Second is related with occupation status that DIYers have. Third is related with competence that active DIYers have.

This study is aimed only at active participants. Therefore, it is possible to see the effects of altruistic and market behaviour more clearly. However, this group represents a minor group that will make it possible to comment on a small group. This is one of the limitations of this study.

In the study, proximity and distance to mainstream market condition are taken as the basis and market structure is taken as an agent. By this way, DIYers' activities evaluated not only from social and economical perspective but also their transformation compared to capitalist market conditions challenging altruistic values of DIY, sustainability and sharing economy. Thus, this study is evaluating sustainability, shared economy and DIY not as an entity but as a process.

The shared development concept is crucial for the construction of a socialist political economy with Chinese characteristics. The paper aims to discuss this issue.

This is because shared development constitutes the logic thread of the socialist political economy with Chinese characteristics and the core for the formation and development of its whole system.

China’s modernization is well underway and is following a unique path with its own characteristics, whereby shared development is undoubtedly one of its core values.

In the new era, the development path under the concept of shared development of socialism with Chinese characteristics must adhere to the all-round development of human beings, promote social equity and justice via development, and embrace inclusive growth, specifically, pro-poor growth.

Whilst the majority of academic studies have focused on the for-profit business-to-consumer type of sharing economy, the community-based peer-to-peer sharing economy is under-studied, particularly the role of social capital, which is essential to sharing behaviours. This paper aims to unravel the role of social capital in developing sharing communities, particularly as to how sharing can establish social capital and community building in community-based sharing economy projects.

This paper adopted a case study approach by selecting a local project in Hong Kong, which aims at achieving sharing community. A total of 10 in-depth interviews of major stakeholders were conducted, including founders, active and inactive members to explore how social capital is developed and its impacts on sharing community.

The research finding showed that social capital plays an important role in structural dimensions, on social ties building, cognitive and relational dimension facilitates and motivates sharing behaviour and trust, which are essential in building up a sharing community and in developing a sharing economy in Hong Kong.

This paper contributes to the current theoretical and empirical discussion that supplements the current study of the community-based sharing economy, from the perspective of social capital, in exploring how a sharing community can be developed.

In order to guide sustainability research on the sharing economy, the purpose of this paper is to develop a comprehensive framework that captures the wide range of activities and business models that are considered to be part of the sharing economy.

Based on a systematic literature review and a content analysis, existing typologies are identified and analyzed for their conceptual intersections. Finally, categorizations from 43 documents are integrated into one framework.

Four main dimensions are identified as being used in different contexts to characterize sharing systems and were combined to form one comprehensive typology: shared good or service, market structure, market orientation, and industry sector.

The proposed typology is able to distinguish sharing activities based on their similarities and differences. Social, economic, and communicational avenues for the term “sharing” are merged into a conceptual foundation of the sharing economy. This enables researchers, practitioners, and policy makers to position their projects in the broad field of sharing. By discussing inherent tensions with regard to sustainability of the sharing economy, the offered categorizations can help to guide future research and policy intervention. Last but not least, professional managers should find valuable ideas for new business models.

This paper aims to clarify the complex path of negative externalities in the sharing economy and proposes corresponding policy recommendations.

This paper aims to establish an analytical framework for the negative externalities of the sharing economy and to extract the main factors that produce negative externalities, and then, through qualitative comparative analysis method find out how these factors interact to form a negative externality.

Negative externalities in the sharing economy come from the joint effect of the sharing degree of the product or service and constraint mechanism, and the current main modes of the shared economy increase the possibility of negative externalities.

The paper proposes a complex path resulting from negative externalities in the shared economy.

The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research.

The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy.

The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers.

The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic.

The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.

Increasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services.

This study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery.

The results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency.

This study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.

India ranks third in the global startup ecosystem in the world incubating more than 50,000 startups and witnessing 15% YoY growth per year. Being a center of innovation and skilled labor, Indian startups have attracted investments from all over the world. This paper aims at exploring the trends that are driving the growth in the Indian startup ecosystem.

Top 200 startups according to valuation are selected as a sample to find out the major trends in the Indian startup ecosystem. This paper includes surveying the sample startups about the implementation of trends such as big data, crowdfunding and shared economy in their startup and its tangible, as well as intangible impacts on their business. The result of the survey is analyzed to get an overview of the emerging trends in the Indian startup ecosystem.

Major ten emerging trends that drive growth in the Indian startup ecosystem are discovered and the areas where these trends can be leveraged are identified.

This research has contributed toward structuring and documenting the growth driving trends, and it will help the budding entrepreneurs to get familiar with the contemporary trends, pros and cons associated with it and the ways to leverage these trends to build a successful startup.