The sharing economy and digital platforms: A review and research agenda

Sutherland, Will; Jarrahi, Mohammad Hossein

doi:10.1016/j.ijinfomgt.2018.07.004

Cited by 535 publications

(362 citation statements)

References 98 publications

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“…The SE networks are strictly associated with digital technologies, which are both a driver towards and the essence of the SE [51][52][53][54]. The ICT has made sharing convenient and transparent as well as open to many individuals and businesses, regardless of their size and location.…”

Section: Introductionmentioning

confidence: 99%

The Sharing Economy and Sustainability of Urban Destinations in the (Over)tourism Context: The Social Capital Theory Perspective

et al. 2020

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This article contributes to the discussion on the sustainability of the sharing economy by adopting the Social Capital Theory to expand explanations of the sharing economy's role and scope of relations with local communities in the context of overtourism. As mutual relationships have not been fully recognized through a theoretical perspective, the article aims to examine the sustainability of the process of the sharing economy impacting urban tourism communities in light of Robert Putnam's approach to Social Capital Theory. On the basis of a selective systematic review, the article discusses the sustainability of the sharing economy through the lens of bridging and bonding social capital. We argue that a new configuration of social capital, i.e., a sharing platform-modified social capital, arises from the unsustainable and disruptive power of the sharing economy implemented by virtual platforms, thereby contributing to an overtourism syndrome. However, from a medium-and long-term perspective, the sharing economy also impacts the bridging nature of social capital, which should lead to a more sustainable balance in its structure. This initial framework for understanding the impact of the sharing economy on sustainability of local communities provides an alternative approach to studying residents' perceptions and attitudes towards tourism in the areas affected by overtourism.Sustainability 2020, 12, 2310 2 of 26 human and economic activity, strongly emphasizing its presence in the tourism industry, especially in accommodation, transport, catering and tourism experiences [19,20]. As the SE's impact is widely discussed through the prism of accommodation platforms [20][21][22][23] we mostly consider this sector of the tourism industry. Overtourism, in turn, is a place-specific and industry-related mechanism. As a temporary and 'explosive' phenomenon, it condenses all the aspects of visitors' activity and the tourism industry in affected destinations, including the experiences or services distributed or accessed by sharing. Thus, when these two phenomena are studied together, we can discuss tourism as a domain of the SE, and the 'sharing' aspects of overtourism.Yet, due to an early phase of their evolution and the eruptive nature of their expansion, mutual relationships of both phenomena have not been fully recognized, leaving a gap for further research. Even so, many researchers claim that the SE contributes to overtourism by jointly pushing urban gentrification processes, depopulation of city centers and other processes of social exclusion [3,[24][25][26][27][28]. In light of this, in this article we consider overtourism in the context of studying the impact of the SE expansion on local communities. The emerging overtourism syndrome may be one of first striking examples of the problems in which the SE is directly involved. Thus, the externalities resulting from the SE in (over)tourism context on the community level could be a laboratory for SE's influence in general.Although sustainability issues involving the SE have...

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Section: Introductionmentioning

confidence: 99%

The Sharing Economy and Sustainability of Urban Destinations in the (Over)tourism Context: The Social Capital Theory Perspective

et al. 2020

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“…In the second, hospitals are penalized financially for sub-par performance, and the penalties are either translated into direct cost savings for payers or are used to generate an incentive pool [45]. Sutherland and Jarrahi (2018), who analyze sharing economy platforms [46][47][48][49][50][51][52][53].…”

Section: Pay-for-performance Incentivesmentioning

confidence: 99%

Healthcare Digitalization and Pay-For-Performance Incentives in Smart Hospital Project Financing

Visconti

Morea

2020

IJERPH

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This study aims to explore the impact of healthcare digitalization on smart hospital project financing (PF) fostered by pay-for-performance (P4P) incentives. Digital platforms are a technology-enabled business model that facilitates exchanges between interacting agents. They represent a bridging link among disconnected nodes, improving the scalable value of networks. Application to healthcare public-private partnerships (PPPs) is significant due to the consistency of digital platforms with health issues and the complexity of the stakeholder's interaction. In infrastructural PPPs, public and private players cooperate, usually following PF patterns. This relationship is complemented by digitized supply chains and is increasingly patient-centric. This paper reviews the literature, analyzes some supply chain bottlenecks, addresses solutions concerning the networking effects of platforms to improve PPP interactions, and investigates the cost-benefit analysis of digital health with an empirical case. Whereas diagnostic or infrastructural technology is an expensive investment with long-term payback, leapfrogging digital applications reduce contingent costs. "Digital" savings can be shared by key stakeholders with P4P schemes, incentivizing value co-creation patterns. Efficient sharing may apply network theory to a comprehensive PPP ecosystem where stakeholding nodes are digitally connected. This innovative approach improves stakeholder relationships, which are re-engineered around digital platforms that enhance patient-centered satisfaction and sustainability. Digital technologies are useful even for infectious disease surveillance, like that of the coronavirus pandemic, for supporting massive healthcare intervention, decongesting hospitals, and providing timely big data. not due to population aging per se, but to the increase in demand for new medical technologies that improve and/or extend life as real per-capita incomes grow [3,4].Within this evolving framework, technology is a double-edged sword, since it increases healthcare expenditure [5] but can also bring savings and quality-of-life improvements [6]. The relationship between medical technology and spending is complex and often conflicting. The impact of technology on costs differs across technologies, in that some (e.g., cancer drugs, invasive medical devices) have significant financial implications, while others are cost-neutral or cost-saving [7]. Medicine in the 21 st century is increasingly dependent on technology. Unlike in many other areas, the cost of medical technology is not declining, and its increasing use contributes to spiraling healthcare costs. Many medical professionals equate progress in medicine to the growing use of sophisticated technology, which is often expensive and beyond the reach of the average citizen [8].Whereas technology concerning tangible items, such as diagnostic equipment or physical infrastructure, has an uncertain cost-benefit trade-off, digital investments have a shorter payback, are typically cheaper, and show sounder benef...

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“…Considered one of the core innovations enabling the platform-based business models of the gig-economy, algorithmic management has allowed gig-organizations to manage myriads of distributed laborers in an efficient (low-cost and real-time) manner [4,5,6,16,17]. In the gig-economy, algorithms are typically responsible for matching workers with customers, assigning work, monitoring and evaluating work performance, as well as implementing a range of HR decisions [4,6,18].…”

Section: Algorithmic Management and Gig-workmentioning

confidence: 99%

Perceived Organizational Support in the Face of Algorithmic Management: A Conceptual Model

Jabagi¹,

Croteau²,

Audebrand³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Organizational support theory proposes that employees develop global beliefs concerning the degree to which an organization values their contributions and cares about their well-being. These beliefs, known as perceived organizational support (POS), are related to a number of positive employee outcomes, including: job satisfaction, work effort, performance, etc. Three categories of POS antecedents have been recognized in the literature: perceived supervisor support; fairness of organizational procedures; and organizational rewards and job conditions. In this paper, we explore these antecedent categories in the gig-work context where organizations replace human managers with algorithmic management practices and data-driven procedures. In doing so, we develop a new conceptual model that centers on the role that a gig-organization's algorithm plays in engendering POS by promoting perceptions of algorithmic fairness (PAF) and perceptions of autonomy support (PAAS). Contributions and future research avenues are discussed.

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The sharing economy and digital platforms: A review and research agenda

Cited by 535 publications

References 98 publications

The Sharing Economy and Sustainability of Urban Destinations in the (Over)tourism Context: The Social Capital Theory Perspective

The Sharing Economy and Sustainability of Urban Destinations in the (Over)tourism Context: The Social Capital Theory Perspective

Healthcare Digitalization and Pay-For-Performance Incentives in Smart Hospital Project Financing

Perceived Organizational Support in the Face of Algorithmic Management: A Conceptual Model

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