Knowledge Service Format and Library Service Content Reconstruction under the Background of Sharing Economy——Analysis Based on the Theory of Supply and Demand

2021 ◽  
Author(s):  
Xinyu Wu ◽  
Chihcheng Fang
Keyword(s):  
Supply And Demand ◽  
Sharing Economy ◽  
Library Service ◽  
Knowledge Service ◽  
Economy Analysis

scholarly journals AI Combine with Wishing Tree Hole, Spitting Tree Hole and Shared Time Bank

2021 ◽  
Vol 251 ◽  
pp. 02022
Author(s):  
Shih-Feng Chang ◽  
Wei-Zheng Zhang ◽  
Wan-Yin Liang ◽  
Jia-Yue Qiu ◽  
Sui Pan ◽  
...  
Keyword(s):  
Poverty Alleviation ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Negative Energy ◽  
Use Of Resources ◽  
Tree Hole ◽  
Time Bank ◽  
Shared Time ◽  
Education Support ◽  
Effective Use

Under the thinking of “sharing economy”, Wish Magic wants to create a platform called “shared time bank”, so that users of the platform can store their free time in the “shared time bank” platform in advance. Then, according to the precise docking of products and services as well as supply and demand, Wish Magic also carries out the “wishing tree hole” platform to effectively interact with users according to the latest news and wish list released by users, and regularly goes to poor areas to carry out relevant poverty alleviation activities, so as to provide education support for local people with educational needs and truly play the role of targeted poverty alleviation. In addition, in today’s situation of prevailing pressure, Wish Magic will also create a “spitting tree hole” platform to provide a space for everyone to spit and vent their negative energy, and provide advice for everyone in work, study, love or marriage and other aspects, and help to solve practical problems. The combination of these three platforms enable people to arrange their time reasonably, make effective use of resources, and help people improve their work efficiency and quality of life, so as to create greater economic and social benefits.

Exploring influencing factors of offline knowledge service transactions on an online-to-offline knowledge-sharing economy platform

2020 ◽  
Vol 24 (8) ◽  
pp. 1777-1795
Author(s):  
Changyu Wang ◽  
Jinming Mei ◽  
Jiaojiao Feng
Keyword(s):  
Knowledge Sharing ◽  
Tacit Knowledge ◽  
Design Methodology ◽  
Sharing Economy ◽  
Objective Data ◽  
Content Type ◽  
Online Transactions ◽  
Knowledge Service ◽  
New Public ◽  
Tacit Knowledge Sharing

Purpose Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives. Design/methodology/approach The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China. Findings The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions. Originality/value This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.

scholarly journals Innovations in Tourism Marketing: Sharing Economy Platform

2020 ◽  
pp. 11-25
Author(s):  
Aleksandr Kljucnikov ◽  
Mehmet Civelek ◽  
Vladimír Krajcík ◽  
Lubomír Kmeco
Keyword(s):  
Housing Market ◽  
Tax Evasion ◽  
Supply And Demand ◽  
Rental Housing ◽  
Sharing Economy ◽  
Tourism Marketing ◽  
Scientific Discussion ◽  
Literary Sources ◽  
Marketing Firms

This research summarizes the arguments and counterarguments within the scientific discussion on the issue of potential tax evasions and increased rental rates that one of innovative home-sharing platforms might causes. The study aims to find possible tax evasion that each property and each host can cause by considering creative activities in tourism marketing and a sharing economy platform, Airbnb in Prague. Besides, the authors identified the potential problems in the rental accommodation market. Systematization literary sources and approaches for solving the problem of sharing economy platforms indicate that although these platforms benefit for some economic, social and environmental issues, they pose some troubles in various markets. Regarding methodological tools of the research method, this paper used a web scraping technique to gain data from the Airbnb website. The authors analysed 13918 accommodations that were rented by 6768 Airbnb users between April 2016 and March 2017. In the study, the authors used the Microsoft Excel 2016 program and a model created by researchers to make calculations. The paper presented the results of an empirical analysis showing that in case the sensitive regulation of the number of nights will apply the potential tax incomes will lower only on 0.98% when considering accommodations and on 6.40% when considering users. In this case, 16832 rental units will appear in the long-term housing market. Moreover, tax evasion becomes more when considering each dwelling instead of each host because some users rented more than one rental accommodation. The research also empirically confirms and theoretically proves that that extended limits for overnight stays yield benefits for costs, supply and demand of rental housing. Those findings can be useful for governments, academicians that are interested in tourism marketing, firms in the accommodation industry that look for new marketing innovations and short or long-term housing market participants such as lessor and lessees. Keywords: accommodation, tourism, marketing, Airbnb, innovation, home-sharing, Prague, sharing economy, taxation.

scholarly journals The airification of cities. Making sense of the impact of peer to peer short term letting on urban functions and economy

2019 ◽  
Author(s):  
Stefano Picascia ◽  
Antonello Romano ◽  
Michela Teobaldi
Keyword(s):  
Spatial Patterns ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Economic Advantage ◽  
Short Term ◽  
Making Sense ◽  
The Impact ◽  
The Way

An in-depth look into the mechanics of short term rentals in Italy. The study is based on a vast dataset comprising of all the properties listed on the Airbnb website in 10 major cities in the years 2015, 2016 and 2017. We discuss the spatial patterns of Airbnb supply and demand within and between cities, we then hypothesize on the possible drivers of the Airbnb offer and suggest a possible way to assess whether Airbnb supply could be driven by an economic advantage of short-term over long term letting. We also discuss the way the benefits of this particular incarnation of the sharing economy are shared among participants. Finally, we conclude by presenting a possible alternative way of regulating Airbnb.

Competition Between Two-Sided Platforms Under Demand and Supply Congestion Effects

2020 ◽  
Author(s):  
Fernando Bernstein ◽  
Gregory A. DeCroix ◽  
N. Bora Keskin
Keyword(s):  
Service Providers ◽  
Supply And Demand ◽  
Relative Number ◽  
Sharing Economy ◽  
Problem Definition ◽  
Ride Sharing ◽  
Managerial Implications ◽  
The Impact ◽  
Number Of Customers ◽  
Congestion Effects

Problem definition: This paper explores the impact of competition between platforms in the sharing economy. Examples include the cases of Uber and Lyft in the context of ride-sharing platforms. In particular, we consider competition between two platforms that offer a common service (e.g., rides) through a set of independent service providers (e.g., drivers) to a market of customers. Each platform sets a price that is charged to customers for obtaining the service provided by a driver. A portion of that price is paid to the driver who delivers the service. Both customers’ and drivers’ utilities are sensitive to the payment terms set by the platform and are also sensitive to congestion in the system (given by the relative number of customers and drivers in the market). We consider two possible settings. The first one, termed “single-homing,” assumes that drivers work through a single platform. In the second setting, termed “multihoming” (or “multiapping,” as it is known in practice), drivers deliver their service through both platforms. Academic/practical relevance: This is one of the first papers to study competition and multihoming in the presence of congestion effects typically observed in the sharing economy. We leverage the model to study some practical questions that have received significant press attention (and stirred some controversies) in the ride-sharing industry. The first involves the issue of surge pricing. The second involves the increasingly common practice of drivers choosing to operate on multiple platforms (multihoming). Methodology: We formulate our problem as a pricing game between two platforms and employ the concept of a Nash equilibrium to analyze equilibrium outcomes in various settings. Results: In both the single-homing and multihoming settings, we study the equilibrium prices that emerge from the competitive interaction between the platforms and explore the supply and demand outcomes that can arise at equilibrium. We build on these equilibrium results to study the impact of surge pricing in response to a surge in demand and to examine the incentives at play when drivers engage in multihoming. Managerial implications: We find that raising prices in response to a surge in demand makes drivers and customers better off than if platforms were constrained to charge the same prices that would arise under normal demand levels. We also compare drivers’ and customers’ performance when all drivers either single-home or multihome. We find that although individual drivers may have an incentive to multihome, all players are worse off when all drivers multihome. We conclude by proposing an incentive mechanism to discourage multihoming.

scholarly journals How Does Bilateral Preference Affect Shared Parking in Sharing Economy?

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yuxue Zhang ◽  
Haoyu Wen ◽  
Ming Zhao ◽  
Zhaojun Yang
Keyword(s):  
Urban Areas ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Utilization Rate ◽  
Parking Space ◽  
Economic Potential ◽  
Weighted Sum Method ◽  
Novel Approach ◽  
Public Resources ◽  
Urban Parking

Sharing economy is seen as an essential building block for sustainability. Yet, inefficient utilizing of parking spaces needs more attention, by which both direct and indirect traffic congestions may be caused, jeopardizing the economic potential of sustainable development. Conventional parking service may gradually lose favour in analogy to its counterpart, of which a novel approach solving shortage of urban parking resources is offered by shared parking. Hence, in this paper, problems of how to redistribute the available private-owned parking slots that be shared are focused due to the parking slot location properties that can be labelled as random, disordered, unstable, widely distributed, etc. Specifically, shared parking greatly enhances reasonability by considering satisfaction. Based on the mechanism of time matching between supply and demand, this paper thoroughly takes the bilateral preference of both parking demanders and parking space suppliers into account in terms of maximization of the utilization rate of shared parking spaces as well as the satisfaction of parking demanders, in which a multiobjective optimization model is established and the weighted sum method combined with the Hungarian method is adopted. Compared with the first-come-first-served (FCFS) strategy, the performance of the proposed method enjoys more advantages in utilizing shared parking spaces and in satisfying parking demanders. The model established and algorithm conducted in this paper meet the requirements induced by parking space redistribution in which inequalities exist between supply and demand, facilitating automobile parking and realizing higher efficiencies in using public resources regarding shortage of parking spaces in urban areas.

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