Overview, Framework, and Research Propositions of Secondhand Exchange in the Platform Economy

2022 ◽  
pp. 129-152
Author(s):  
Catherine Anne Armstrong Soule ◽  
Sara Hanson

This chapter describes secondhand exchange in the context of the platform economy. Consumers have long engaged in reselling and buying used items as an alternative to purchasing firsthand items, but researchers have little understanding of how these exchanges are different theoretically from traditional consumption patterns. This chapter presents a clear definition of secondhand exchange and separates it from related concepts, including lateral exchange markets, the sharing economy, access-based consumption, and collaborative consumption. It is suggested that secondhand exchange and related consumer behavior in the platform economy can be understood by considering platform differences related to 1) when and how product ownership is transferred (i.e., direct and indirect), 2) the level of platform intermediation (i.e., low, moderate, or high), and 3) buyers' knowledge of reseller identity (i.e., unknown, obscured, and known). Research propositions are presented for these dimensions for each facet of the consumption process (i.e., buying, owning, and disposal).

Author(s):  
David Murillo

The current academic debate on the sharing economy (SE) seems to embrace three main discussions: its definition, its effects, and the role of regulation. A neglected topic here seems to be analyzing the specific implications of the changing nature of these firms boosted by private equity and venture capital. As the author points out, we need to analyze not only the impact of a changing business model but, specifically, how stakeholders, cities, and regulators should approach this moving target now called SE. In the following sections the author departs from a traditional definition of the sharing economy to start building the case for treating the SE at large as an epiphenomenon of the platform economy, and as a temporary condition based on a moveable business model. The chapter closes by introducing the regulatory hurdles that come associated with the previous and mapping out its different futures.


2018 ◽  
Vol 20 (3) ◽  
pp. 331
Author(s):  
Iin Mayasari ◽  
Handrix Chris Haryanto

The aim of this study was to analyze the motivational factors of collaborative consumption in the era of the sharing economy, as a part of consumers’ behavior by online media platforms. Collaborative consumption is about people’s willingness to share and to collaborate to meet certain needs. The study used the qualitative method with interviews for the data’s collection. The context of the study was using consumers who had experience of using Airbnb, Go-Jek, and selling their product via online media. Twenty-four respondents were obtained for the interviews. The length of each interview was approximately 1.5 hours. The analysis of this shifting consumption across its different facets provided an analysis of the motivational aspect of sharing resources, and the change in consumer consumption patterns. The motivational research examined the underlying reasons for consumers to act, and to undertake collaborative consumption; home sharing and selling second-hand goods were analyzed from the perspectives of their economic aspects, utility reasons, social orientation, emotional aspects, ecological aspects and personal values.


2021 ◽  
Vol 12 (4) ◽  
pp. 1107-1122
Author(s):  
Bruno Roberto Santos ◽  
Ana Beatriz de Mello Moraes ◽  
Maria Augusta Soares Machado ◽  
Fabiana Madureira Nery

The objective proposed by the present study is to identify the determining factors that make sharing-oriented business to succeed under the Brazilian consumers perspective. The findings bring useful information for companies who are interesting in starting up or to continuous in this type of business and help them to develop appropriated strategy taking advantage of the best opportunities in this new market scenario. The theoretical frame supported two analysis fronts: Factors that motivate consumers inside sharing economy and barriers that  bring difficulty to the transactions. As motivational factors, ideological and financial questions were tested. As barriers were studied questions such as legal, technological, social and marketing. The study was supported by a quantitative research conducted in order to test hypothesis about consumer behavior in this kind of business. Around 140 people has answered the survey. The results allow inferring that collaborative consumption, is not a Brazilian behavior yet, but it is a trend and questions involving financial benefits are the ones which most influence the consumers.


1996 ◽  
Vol 33 (9) ◽  
pp. 101-108 ◽  
Author(s):  
Agnès Saget ◽  
Ghassan Chebbo ◽  
Jean-Luc Bertrand-Krajewski

The first flush phenomenon of urban wet weather discharges is presently a controversial subject. Scientists do not agree with its reality, nor with its influences on the size of treatment works. Those disagreements mainly result from the unclear definition of the phenomenon. The objective of this article is first to provide a simple and clear definition of the first flush and then to apply it to real data and to obtain results about its appearance frequency. The data originate from the French database based on the quality of urban wet weather discharges. We use 80 events from 7 separately sewered basins, and 117 events from 7 combined sewered basins. The main result is that the first flush phenomenon is very scarce, anyway too scarce to be used to elaborate a treatment strategy against pollution generated by urban wet weather discharges.


2021 ◽  
Vol 128 ◽  
pp. 124-137
Author(s):  
Adriana Luri Minami ◽  
Carla Ramos ◽  
Adriana Bruscato Bortoluzzo

2021 ◽  
Vol 1 ◽  
pp. 2691-2700
Author(s):  
Stefan Goetz ◽  
Dennis Horber ◽  
Benjamin Schleich ◽  
Sandro Wartzack

AbstractThe success of complex product development projects strongly depends on the clear definition of target factors that allow a reliable statement about the fulfilment of the product requirements. In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities. In order to integrate the activities related to the KC definition into product development as early as possible, the often vaguely formulated requirements must be translated into quantifiable KCs. However, this is primarily a manual process, so the results strongly depend on the experience of the design engineer.In order to overcome this problem, a novel computer-aided approach is presented, which automatically derives associated functions and KCs already during the definition of product requirements. The approach uses natural language processing and formalized design knowledge to extract and provide implicit information from the requirements. This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage. The approach is exemplarily applied to a window lifter.


1985 ◽  
Vol 15 (2) ◽  
pp. 155-191 ◽  
Author(s):  
Richard Wilmot

Euphoria is by definition ambiguous. Some researchers have noted it is a cause for drug taking while others have viewed it as the effect of taking drugs, To date there is no clear definition of what “euphoria” is or how it enters into career drug use or abuse. This article proposes that “euphoria” is metaphoric, and on that basis may be learned. Learning to use drugs euphorically is the key to controlled drug use and ultimately the control of drug abuse.


Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 52
Author(s):  
Thomas Lee ◽  
Susan Mckeever ◽  
Jane Courtney

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the Society of Automotive Engineers, to specific drone tasks in order to create a clear definition of autonomy when applied to drones. A top–down examination of research work in the area is conducted, focusing on drone navigation tasks, in order to understand the extent of research activity in each area. Autonomy levels are cross-checked against the drone navigation tasks addressed in each work to provide a framework for understanding the trajectory of current research. This work serves as a guide to research in drone autonomy with a particular focus on Deep Learning-based solutions, indicating key works and areas of opportunity for development of this area in the future.


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