Uber Might Buy Me a Mercedes Benz: An Empirical Investigation of the Sharing Economy and Durable Goods Purchase

2017 ◽  
Author(s):  
Jing Gong ◽  
Yiping Song
Keyword(s):  
Durable Goods ◽  
Empirical Investigation ◽  
Sharing Economy

Classifying Mobile Applications Using Word Embeddings

2022 ◽  
Vol 31 (2) ◽  
pp. 1-30
Author(s):  
Fahimeh Ebrahimi ◽  
Miroslav Tushev ◽  
Anas Mahmoud
Keyword(s):  
Mobile Applications ◽  
Empirical Investigation ◽  
Mobile Apps ◽  
Human Subjects ◽  
Sharing Economy ◽  
Support Vector ◽  
Word Embeddings ◽  
Mobile Software ◽  
Vector Machines ◽  
Modern Application

Modern application stores enable developers to classify their apps by choosing from a set of generic categories, or genres, such as health, games, and music. These categories are typically static—new categories do not necessarily emerge over time to reflect innovations in the mobile software landscape. With thousands of apps classified under each category, locating apps that match a specific consumer interest can be a challenging task. To overcome this challenge, in this article, we propose an automated approach for classifying mobile apps into more focused categories of functionally related application domains. Our aim is to enhance apps visibility and discoverability. Specifically, we employ word embeddings to generate numeric semantic representations of app descriptions. These representations are then classified to generate more cohesive categories of apps. Our empirical investigation is conducted using a dataset of 600 apps, sampled from the Education, Health&Fitness, and Medical categories of the Apple App Store. The results show that our classification algorithms achieve their best performance when app descriptions are vectorized using GloVe, a count-based model of word embeddings. Our findings are further validated using a dataset of Sharing Economy apps and the results are evaluated by 12 human subjects. The results show that GloVe combined with Support Vector Machines can produce app classifications that are aligned to a large extent with human-generated classifications.

scholarly journals Myths and the Truth About the Innovative Sustainable Model of Car Sharing in Europe

2021 ◽  
Author(s):  
Maja Meško ◽  
Vasja Roblek
Keyword(s):  
Durable Goods ◽  
Industrial Revolution ◽  
Sharing Economy ◽  
Urban Environments ◽  
Theory And Practice ◽  
Car Sharing ◽  
Automated Content Analysis ◽  
Starting Point ◽  
Harmful Emissions

In the time of the 4th Industrial Revolution was introduced the sustainable model of car sharing. People began to realise the costs of owning and suboptimal use of cars, real estate and other goods. Innovative companies have started to promote services based on an economy of sharing, which has led to a change in the culture of ownership of goods. The first applications of the sharing economy were observed in durable goods such as cars and housing. In this article, we will focus on the question of how successful a genuine car-sharing model is in Europe. According to theory, the car-sharing model provides an example of a sharing economy in which the starting point, rather than ownership of an asset, is access to a service, which makes better use of the shared asset and makes it much cheaper to use and accessible to a wider range of people. The theory also emphasises the role of car sharing in urban environments, as it provides a sustainable environmental solution in the context of car electrification. In this way, such a model ensures that no harmful emissions are produced, and the sustainable aspect of this car-sharing model is further underlined by the use of electricity from renewable sources. However, the question is what the gap between theory and practice is. What do the citizens of European conurbations think about this business model, and how successful is it? To this end, we will use an automated content analysis procedure to analyse publications in scientific journals, newspapers and magazines.

Sociomaterial practices for value co-creation in the sharing economy

2020 ◽  
Vol 33 (3) ◽  
pp. 963-982 ◽  
Author(s):  
Peng Du ◽  
Hsin-Hui Chou
Keyword(s):  
Empirical Investigation ◽  
Research Question ◽  
Sharing Economy ◽  
Multiple Sources ◽  
Content Type ◽  
Theoretical Concepts ◽  
Technology Applications ◽  
Self Service ◽  
Service Ecosystem ◽  
Human Actors

PurposeThe purpose of this paper is to address the research question of how human actors and technology interact together in practices in the context of a sharing economy. The theoretical foundation of this paper is based on the existing literature about the sharing economy and studies that have been carried out examining value co-creation and sociomateriality.Design/methodology/approachThis paper adopts a qualitative case study method for the empirical investigation. Using theoretical sampling, Xbed, an internet, unmanned and self-service hotel platform based in Guangzhou, China, was chosen for the empirical investigation. The case was built on multiple sources of data, including archival materials, on-site fieldwork and in-depth interviews. Then, the case was interpreted based on a number of theoretical concepts, with a particular emphasis on the sociomaterial perspective.FindingsThis paper shows how human actors and technology interact with one another in a number of interrelated ways, which collectively result in the value co-creation necessary for creating a sharing economy. The authors have found that various forms of sociomateriality (the intersection between technology, work and organization) play a key role in co-creation and that interactions between these sociomaterial assemblages (assemblage-to-assemblage (A2A)) drive the development of a sharing economy. These sociomaterial assemblages have dynamic and evolving characteristics.Practical implicationsThe authors argue that the key to the success of a sharing economy lies in how to engage participating actors with material entities (e.g. technology applications) to form action-enabling sociomaterial assemblages, as well as in determining how these assemblages can be systematically arranged to collectively form a larger assemblage. We suggest that managers need to conceive how relations between the social and the material realms can be structured by adopting a service logic that aims to help the beneficiary function better. The authors also suggest that managers have to consider what assemblages are necessary and how they are connected, to construct a full access-based service.Originality/valueThis paper conceptualizes the sharing economy as a system of value co-creation practices and empirically examines such practices from a sociomaterial perspective. This paper adopts the concept of sociomaterial assemblages to investigate sharing practices, through which the knowledge of the role of technology in the development of a sharing economy is enhanced. This paper also expands the knowledge of service-dominant logic by using a microfoundation perspective to look at the value co-creation that emerges as a result of the interaction between sociomaterial assemblages. These assemblages also act as constitutive elements of a service ecosystem.

scholarly journals Owning, Using, and Renting: Some Simple Economics of the “Sharing Economy”

2020 ◽  
Vol 66 (9) ◽  
pp. 4152-4172 ◽  
Author(s):  
Apostolos Filippas ◽  
John J. Horton ◽  
Richard J. Zeckhauser
Keyword(s):  
Business Strategy ◽  
Durable Goods ◽  
Theoretical Work ◽  
Sharing Economy ◽  
Partial Decomposition ◽  
Individual Preferences ◽  
Long Run ◽  
Short Run ◽  
Unused Capacity

New Internet-based “sharing-economy” markets enable consumer-owners to rent out their durable goods to nonowners. We model such markets and explore their equilibria both in the short run, in which ownership decisions are fixed, and in the long run, in which ownership decisions can be changed. We find that sharing-economy markets always expand consumption and increase surplus, but may increase or decrease ownership. Regardless, ownership is decoupled from individual preferences in the long run, as the rental rates and the purchase prices of goods become equal. If there are costs of bringing unused capacity to the market, they are partially passed through, creating a bias toward ownership. To test our theoretical work empirically, we conduct a survey of consumers, finding broad support for our modeling assumptions. The survey also allows us to offer a partial decomposition of the bring-to-market costs, based on attributes that make a good more or less amenable to being shared. This paper was accepted by Joshua Gans, business strategy.

Business Models in the Sharing Economy: Manufacturing Durable Goods in the Presence of Peer-to-Peer Rental Markets

2021 ◽  
Author(s):  
Vibhanshu Abhishek ◽  
Jose A. Guajardo ◽  
Zhe Zhang
Keyword(s):  
Willingness To Pay ◽  
Business Model ◽  
Durable Goods ◽  
Business Models ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Rental Market ◽  
Rental Markets ◽  
Usage Rates

With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by offering their own rentals. This work shows why the best business model depends on whether consumer usage rates vary or not. Contrary to what might be expected, this paper shows that manufacturers have an incentive to facilitate transactions of P2P rental markets in a large variety of cases. We find that when consumer variation in usage rates is intermediate, the manufacturer is surprisingly best off avoiding offering its own direct rentals option and instead, facilitating a peer-to-peer rental market where consumers can share among themselves. The reason for this is an effect unique to the sharing economy, the equalizing effect. The equalizing effect shows that peer-to-peer rentals uniquely make previously heterogeneous willingness-to-pay among consumers more similar, making it easier for the firm to discriminate between the higher- and lower-value consumers, thus allowing it to extract a higher portion of consumers’ surplus. Surprisingly, there are some cases where peer-to-peer rentals benefit the manufacturer, but consumers are hurt overall (though the lower-usage consumers do always benefit from the availability of peer-to-peer rentals).

Self-Esteem and the SCII: Empirical Investigation of a Clinical Observation

1979 ◽  
Vol 12 (2) ◽  
pp. 82-86
Author(s):  
Karen Friedel ◽  
Jo-Ida Hansen ◽  
Thomas J. Hummel ◽  
Warren F. Shaffer
Keyword(s):  
Empirical Investigation ◽  
Clinical Observation ◽  
Self Esteem

Self-Injurious Behavior vs. Nonsuicidal Self-Injury

Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 106-112 ◽  
Author(s):  
Christopher M. Bloom ◽  
Shareen Holly ◽  
Adam M. P. Miller
Keyword(s):  
Positive Reinforcement ◽  
Empirical Investigation ◽  
High Stress ◽  
Animal Research ◽  
Stress Conditions ◽  
Human Populations ◽  
Pharmacological Interventions ◽  
Self Injury ◽  
Cns Stimulant ◽  
Nonsuicidal Self Injury

Background: Historically, the field of self-injury has distinguished between the behaviors exhibited among individuals with a developmental disability (self-injurious behaviors; SIB) and those present within a normative population (nonsuicidal self-injury; NSSI),which typically result as a response to perceived stress. More recently, however, conclusions about NSSI have been drawn from lines of animal research aimed at examining the neurobiological mechanisms of SIB. Despite some functional similarity between SIB and NSSI, no empirical investigation has provided precedent for the application of SIB-targeted animal research as justification for pharmacological interventions in populations demonstrating NSSI. Aims: The present study examined this question directly, by simulating an animal model of SIB in rodents injected with pemoline and systematically manipulating stress conditions in order to monitor rates of self-injury. Methods: Sham controls and experimental animals injected with pemoline (200 mg/kg) were assigned to either a low stress (discriminated positive reinforcement) or high stress (discriminated avoidance) group and compared on the dependent measures of self-inflicted injury prevalence and severity. Results: The manipulation of stress conditions did not impact the rate of self-injury demonstrated by the rats. The results do not support a model of stress-induced SIB in rodents. Conclusions: Current findings provide evidence for caution in the development of pharmacotherapies of NSSI in human populations based on CNS stimulant models. Theoretical implications are discussed with respect to antecedent factors such as preinjury arousal level and environmental stress.

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