Capacity‐constrained entrepreneurs and their product portfolio size: The response to a platform design change on a Chinese sharing economy platform

2020 ◽  
Vol 14 (3) ◽  
pp. 302-328 ◽  
Author(s):  
C. Jennifer Tae ◽  
Xueming Luo ◽  
Zhijie Lin
Keyword(s):  
Sharing Economy ◽  
Product Portfolio ◽  
Platform Design ◽  
Design Change ◽  
Capacity Constrained ◽  
Portfolio Size

Copulas for Demand Estimation for Portfolio Reuse Design Decisions

2008 ◽  
Author(s):  
Vijitashwa Pandey ◽  
Deborah Thurston
Keyword(s):  
Environmental Impact ◽  
Successful Implementation ◽  
Design Decision ◽  
Product Portfolio ◽  
Component Reuse ◽  
Nsga Ii ◽  
Effective Age ◽  
Portfolio Size ◽  
Product Sales ◽  
Computational Intractability

Design for multiple product lifecycles with component reuse potentially improves profitability, customer satisfaction and environmental impact. However, deciding on the scope and the level of detail (granularity) to be considered in the design process can be challenging. Although a comprehensive model that takes into account all important issues would be immensely useful, modeling difficulties and computational intractability prevent their successful implementation. This paper extends the scope of a previously developed design decision tool for determining optimal end-of-lifecycle decisions. The single product case is extended to a product portfolio, which has been shown to capture more demand. Demand is explicitly considered and its modeling is accomplished with the use of copulas. An important result from statistics, Sklar’s theorem, provides a way to use data from existing product sales to estimate demand for currently nonexistent reused products. In addition, effective age calculations are updated. On the computational front, time-continuation and seeding is used for NSGA-II to converge to optima more quickly in the resulting larger problem. A personal computer case study illustrates the effect of different parameters such as portfolio size, the possibility of recycle, and limits on environmental impact (as opposed to mandated take-back).

scholarly journals Online and Offline Communities in the Sharing Economy

2018 ◽  
Vol 10 (8) ◽  
pp. 2927 ◽  
Author(s):  
Taneli Vaskelainen ◽  
Laura Piscicelli
Keyword(s):  
Content Analysis ◽  
Online Communities ◽  
Online Community ◽  
Qualitative Content Analysis ◽  
Sharing Economy ◽  
Interview Data ◽  
Behavioral Changes ◽  
Platform Design

The online community is crucial to sharing economy platforms because without it, no transactions can take place. Online communities have been studied extensively, but so far, little attention has been paid to how they link to different offline communities, such as geographic (e.g., neighborhoods) and relational communities (e.g., friends and colleagues). In this study, we address this gap by examining the importance of communities to the users and the entrepreneurs of the goods-sharing platform Ecomodo. We conduct a qualitative content analysis of archival and interview data to uncover the importance of different communities and the relationships among them. We discover that the platform design aimed to facilitate lending and borrowing in relational communities. However, geographic communities were more important to the users since most of them joined the platform to be acquainted with their neighbors. We also find that the platform entrepreneurs underestimated the behavioral changes needed to use the platform. The producers were not used to asking for money to lend their possessions, and it was difficult to teach consumers to borrow instead of buying. We use these findings to offer recommendations to practitioners and discuss some avenues for further research.

Sharing Economy Questionnaire

2019 ◽  
Author(s):  
Hanna Lee ◽  
Sung-Byung Yang ◽  
Chulmo Koob
Keyword(s):  
Sharing Economy

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

Geschäftsmodelle der Sharing Economy und Marktpotenziale für Medienunternehmen

2014 ◽  
Vol 11 (1) ◽  
pp. 32-34
Author(s):  
Kristina Müller ◽  
Antonia Schubert
Keyword(s):  
Sharing Economy

Airbnb, Car2Go, Couchsurfing – die Sharing Economy gilt derzeit als Trendthema für Wirtschaft, Politik und Ökologie. Im Auftrag einer großen deutschen Mediengruppe und weil das Phänomen wissenschaftlich bislang kaum untersucht wurde, hat das InnoLab der Hamburg Media School die Anbieter, Branchen und Geschäftsmodelle der Sharing Economy evaluiert. Auf Basis von eigens erhobenen Daten, Experteninterviews und Fokusgruppenbefragungen wurden Monetarisierungsstrategien bewertet, Erfolgsfaktoren bestimmt und Handlungsempfehlungen für Anbieter herausgearbeitet. Die Autorinnen danken Prof. Dr. Armin Rott, Nick Sohnemann, Andreas Wrede und Marcel Garz (alle InnoLab/Hamburg Media School) für die Unterstützung der Studie.

Tourism and the Sharing Economy

10.1596/30452 ◽  
2018 ◽  
Author(s):  
Martine Bakker ◽  
Louise Twining-Ward
Keyword(s):  
Sharing Economy

Principles for sharing economy formation in the digital society

2020 ◽  
Vol 16 (5) ◽  
pp. 800-821
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov
Keyword(s):  
Network Effects ◽  
Sharing Economy ◽  
Network Effect ◽  
Industrial Society ◽  
Economic Activities ◽  
Digital Platforms ◽  
Digital Society ◽  
Modern Economy ◽  
Characteristic Features ◽  
The Impact

Subject. The article addresses economic relations that are formed in various areas of economic application of digital platforms. The target of the research is the modern economy of digital platforms across different economic activities. Objectives. The aim is to systematize principles for share economy formation in the context of the digital society development. Methods. We employ general scientific methods of research. Results. The study shows that the development of digital platforms is one of the most important trends in the development of the modern economy. We classified certain characteristic features of modern digital platforms, analyzed principles for their creation. The paper emphasizes that the network effects achieved through the use of digital platforms are an important factor in the development of the share economy. The network effect describes the impact of the number of the platform users on the value created for each of them. The paper also considers differences in the organization of traditional economy companies and companies that are based on the digital platform model, reveals specifics of changes in socio-economic systems caused by the development of digital platforms, systematizes principles of the sharing economy formation in the context of the digital society development. Conclusions. The analyzed principles for sharing economy development on the basis of digital platforms can be applied to create models for the purpose of forecasting the transformation of economic activity in the post-industrial society.

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