57 resources related to Sharing Economy
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No organizations are currently tagged "Sharing Economy"
2020 IEEE Energy Conversion Congress and Exposition (ECCE)
IEEE-ECCE 2020 brings together practicing engineers, researchers, entrepreneurs and other professionals for interactive and multi-disciplinary discussions on the latest advances in energy conversion technologies. The Conference provides a unique platform for promoting your organization.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
All fields of satellite, airborne and ground remote sensing.
2019 IEEE International Professional Communication Conference (ProComm)
The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
The aim of the conference is to provide a premier platform for electrical engineers and researchers to present their works and to share experiences and ideas in power and energy engineering with experts and scholars from around the world. Started in Wuhan in 2009, APPEEC is now an annual power engineering conference organized in Asia-Pacific Region.
No periodicals are currently tagged "Sharing Economy"
2018 International Conference on Power System Technology (POWERCON), 2018
With the development of Internet financing, the sharing economy model has been widely used in various fields. The resident appliance sharing service (RASS) is based on a pre-paid mode; the owner of an appliance provides equipment for those who need to use the appliance, and charges accordingly. Expenditure on the use of electrical appliances by users include purchase costs, use ...
2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018
The emerging sharing economy has deeply changed our daily lives. Recently, there has been an increasing interest in exploiting the new business models in electricity sector. Most existing research focused on the arbitrage against two-tier Time-of-Use (ToU) pricing (namely, the ToU pricing only contains peak period and off-peak period). A simple greedy control policy can achieve the optimal performance. However, ...
2018 International Conference on Information Technology Systems and Innovation (ICITSI), 2018
Transportation companies nowadays facing a situation where operation costs arise and low utilization that cause fierce competition between transportation companies and force them to run an efficient operation. On the other hand, transportation companies are also dealing with a challenge to provide a competitive advantage. The sharing economy concept especially mobility sharing can be used to handle this situation. This ...
2018 5th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS), 2018
The sharing economy is an emerging research field. The form of sharing economy that is emerged by using many information technologies such as the mobile Internet, the big data, the cloud computing, the block chain, etc. profoundly influences and changes the traditional economic form of human society with the emerging economic formats in the information age. Under the background of ...
2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG), 2019
During the last five years, the sharing economy has emerged as one of the main business models to offer goods and services. Indeed, delivery and transportation are industries for which “sharing” has had one of the biggest impacts, with companies such as: Uber, Lyft or Cabify. However, like in any traditional company, human resource management is an issue for sharing ...
The Future of Work on a Robot Economy
Sharing New Breakthroughs in Neuroscience
ACADIS: brokering arctic data for research
802.22: Wireless Regional Area Networks
IEEE Humanitarian and Philantropic Opportunities
Technology for Health Summit 2017 - Summit Keynote: Roberto Viola
IEEE Themes - Social dynamics in peer-to-peer sharing networks
Day Two Opening Remarks by Megan Smith - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
Winds of Change: Part 4 - Public Policy
The Future of Power Electronics in Robotics: APEC 2019
IEEE Green Energy Summit 2015: Program Overview
Building Technical Communities Through Entrepreneurship Activities in India - Amit Kumar - Ignite: Sections Congress 2017
5g Cellular: It Will Work!
Timesharing at MIT, segment 5 of 10, May 14th, 1983
Timesharing at MIT, segment 2 of 10
Timesharing at MIT, segment 3 of 10
Brooklyn 5G Summit 2014: Dr. Ali Sadri on the Evolution of the mmWave Technologies
Timesharing at MIT, segment 6 of 10
Timesharing at MIT, segment 1 of 10
With the development of Internet financing, the sharing economy model has been widely used in various fields. The resident appliance sharing service (RASS) is based on a pre-paid mode; the owner of an appliance provides equipment for those who need to use the appliance, and charges accordingly. Expenditure on the use of electrical appliances by users include purchase costs, use costs, and maintenance costs. Economic analysis is conducted, using electrical equipment purchase costs and user fees as economic indicators.This paper introduces the mechanism of RASS and analyzes the conditions for and constraints on the implementation of this mechanism. An economic benefit model of RASS is established and economic analysis of the appliance owner and user is conducted via a case study. The results show that the appliance owner can collect the cost of the equipment through a pay-per-click scheme, thereby recovering purchase costs and allowing the user to save the equipment purchase cost. This is ultimately shown to achieve a win-win outcome for appliance owners and users.
The emerging sharing economy has deeply changed our daily lives. Recently, there has been an increasing interest in exploiting the new business models in electricity sector. Most existing research focused on the arbitrage against two-tier Time-of-Use (ToU) pricing (namely, the ToU pricing only contains peak period and off-peak period). A simple greedy control policy can achieve the optimal performance. However, this greedy approach cannot be straightforwardly generalized to other types of ToU pricing. In this paper, we consider the optimal control policy for electricity storage to enable arbitrage against various three-tier ToU pricing. We offer both explicit expressions for the control policies and their economic insights. We believe our work is an essential attempt to exploit the possible opportunities for sharing economy in the electricity sector and will sharp our understanding on the impacts of three-tier ToU pricing.
Transportation companies nowadays facing a situation where operation costs arise and low utilization that cause fierce competition between transportation companies and force them to run an efficient operation. On the other hand, transportation companies are also dealing with a challenge to provide a competitive advantage. The sharing economy concept especially mobility sharing can be used to handle this situation. This concept has grown over the past few years where one party shares their underutilized transportation asset to the other parties. This is a trust-to-trust activity that is based on the sharing of information, knowledge, and value co-creation to all parties involved. This paper proposed a modern mobility sharing model using information system where information and knowledge sharing occurs using a mobile platform. The proposed model and the information system in this paper allows transportation companies that are having an underutilized capacity of trucks to interact with the other companies and create economic activity directly and easily.
The sharing economy is an emerging research field. The form of sharing economy that is emerged by using many information technologies such as the mobile Internet, the big data, the cloud computing, the block chain, etc. profoundly influences and changes the traditional economic form of human society with the emerging economic formats in the information age. Under the background of the new era, clarifying the basic connotation, performance characteristics and main functions of the sharing economy can attach a great significance on better promoting the high-quality development of the sharing economy and building a modern economic system. It is believed in this article that the connotation of the sharing economy can be grasped from the scope of development, motivation, ideas and models. The sharing economy has the characteristics of rapid development, diversified subjects, clear operating mechanism and differences in economic composition. We then derive 9 variables with almost equal importance which reflect the development of sharing economy through Factor Analysis. The development of sharing economy has entered a new era. While promoting the development of shared economy, we should promote the deep integration of new and old formats, foster the sharing of information and cultural genes, build a pragmatic and invasive system, apply an inclusive and prudent regulatory system, and create a social environment of joint construction and sharing. This article helps to deepen the understanding of the sharing economy and has certain reference value for theoretical research and practical development in this field.
During the last five years, the sharing economy has emerged as one of the main business models to offer goods and services. Indeed, delivery and transportation are industries for which “sharing” has had one of the biggest impacts, with companies such as: Uber, Lyft or Cabify. However, like in any traditional company, human resource management is an issue for sharing economy firms. Our work aims to infer patterns regarding the performance of human resources in this context. We used unsupervised classification techniques over employee records from a delivery company that uses a sharing economy business model. We propose an automatic and scalable framework to discover efficient groups of workers, using features from logistic, geographical and temporal information. Although previous similar works have presented promising results, unlike them, we do not use demographic information about the employees. Our results suggest that deliveries per day, the kilometers covered by the worker and the companies that occupy a delivery agent are important features to determine outstanding workers. The framework proposed can turn into a key point to keep the exponential growth of these kind of companies during the time.
Peer-to-peer energy trading and next generation local energy market mechanisms are expected to provide new use cases and opportunities within the future sharing economy landscape. To this anticipation, we propose alternative incentive mechanisms as energy policy instruments that can be used by policy makers for directly supporting local energy producers, and hence indirectly the consumers, at current local energy markets using capabilities provided by contemporary distributed ledger technology. Under such peer-to-peer local market setting, we first detail market pricing and relevant market parameters thoroughly, and then we discuss fair incentive distribution to local producers in detail, by means of two distinct incentive systems what we call as the fixed stipend and the decaying stipend incentive mechanisms, respectively. We provide an analysis of market pricing and market parameters under German power market conditions, and an illustration of proposed support instruments with resorting to three scenarios experimented on a local energy market test bed that is equipped with realistic energy generation and consumption profiles for its participants.
A VUCA world! This popular acronym describes today's business environment with volatility, uncertainty, complexity and ambiguity. These constraints have made from “reaching sustainability” a tougher task to be achieved. This paper reinforces the literature on this subject and proposes a new way to follow using the possibilities that digitalization and digital strategies offer. The paper starts by defining the concept of sustainability and listing the most important factors that drive companies to look for this “Holy Grail”. Then it describes the most well-known tracks identified in order to sustain a given business. After, the paper introduces the emerging concept of digital strategies and discusses them as an alternative to the alignment of business and information technology (IT) strategies. We propose after a framework that unlocks the digitalization possibilities by explaining how to reach sustainability through digitalization. We apply the proposed framework on the telecom industry as a case study before concluding.
The sharing economy, which is based on the exchange, sale, donation or rental of products and services among strangers, raises questions about the security, privacy and motivations of users regarding interpersonal trust and platforms. In this context, this study aims to analyze the scientific production about the thematic trust in the sharing economy through bibliometric techniques. For this purpose, a search of the Scopus platform was carried out, which initially resulted in 145 publications, in later phases these studies were selected and analyzed with the aid of software. The bibliometric analysis allowed us to explore the literature about trust in the sharing economy between the years 2013 to 2018. The findings were categorized into annual publication of articles, origin and quantity of publications, methodological nature, instruments and techniques of data collection, association between authors by affiliation countries, occurrence of keywords and referenced authors to conceptualize the sharing economy. By considering the sharing economy a recent and changing subject, this mapping elucidates the advancement of publications and identifies the current research scenario. For future studies, it is suggested to analyze the various platforms based on topics such as familiarity, perceived risk, security, privacy and interaction and design in the digital platforms of the sharing economy.
In sharing economy, people offer idle social resources to others in a sharing manner. Through community-based online platforms, the people offering services can earn commission while others can enjoy a better life via renting social resources. Consequently, the value-in-use of services is expectedly strengthened within the unit time, although the total amount of social resources remains constant. Influenced by sharing economy, some famous companies have developed intelligent systems to analyze the most appropriate coincidence between citizens' idle supply and renting demand from numerous data sets. However, the big data analysis of the optimal service-demand matching usually runs on the traditional multiprocessors equipped in intelligent systems, so-called “system-on-chip.” In this paper, we design a novel computer architecture - the accelerator based on optical network-on-chip (ONoC) - to further speed up the matching between citizens' offer and demand in sharing economy. Our ONoC-based accelerator is able to quickly calculate the optimal service-demand matching by processing computation tasks on parallel cores, i.e., task-core mapping. In addition, to improve the accelerator reliability, the assorted task-core mapping algorithm is also designed. The extensive simulation results based on real trace file demonstrate the effectiveness of our system and algorithm. Note to Practitioners - Sharing economy is of great importance for realizing green consumption and sustainable development in our human society. Sharing economy enterprise calls for intelligent system design for service-demand matching in the current big data era. In this paper, we design the accelerator based on ONoC to further speed up the matching between citizens' offer and demand in sharing economy. By processing computation tasks on parallel cores using our algorithm, the task-core mapping can be performed with high speed and reliability. The simulation results - based on the trace file of Amazon Mechanical Turk - can well guide the practitioners to design a more clever and reliable product by quickly calculating the optimal service-demand matching.
This paper studies rooftop solar photovoltaic (PV) investment decisions of households. Two cases are considered: (a) the status quo of net-metering, and (b) a new sharing economy model. Under net-metering, households can sell back their excess generation to the utility at their retail tariff subject to the prevalent constraint that they cannot be net producers of electricity on an annual basis. In our sharing economy model, households can pool their excess PV generation and trade it in a spot market among themselves, but the collective cannot sell electricity back to the utility. Our objective in studying these two cases is that net-metering programs are under threat and being phased out, which places future residential PV investment at risk. In the event of this contingency, we argue that the sharing economy model offers a pathway to preserve and even accelerate residential PV investment. We derive expressions for the optimal investment decisions in each case assuming that households are rational and wish to minimize their costs. We characterize the random clearing price in the spot market for excess PV generation under the sharing model. We show that the optimal investment decisions are determined by a simple threshold policy. Households whose PV productivity metric exceeds this threshold invest the maximum possible, while those that fall below the threshold do not invest. We offer a convergent algorithm to compute this threshold. We close with a small-scale simulation study that reveals the favorable properties of the sharing economy model for residential PV investments.
No standards are currently tagged "Sharing Economy"