An Applied Integrated Management Course on Business Disruption in the Digital Age

This paper describes an Applied Integrated Management course developed as part of an MBA degree program offered at a regional, public university. The course is focused on business disruption in the digital age and seeks to develop integrative thinking in MBA students. Material from the academic disciplines of economics, statistics, information systems, and organizational behavior provide the foundation for an indepth exploration of course topics including human decision making and machine learning; robotics, digitization, and innovation; productivity, economic effects, and technological innovation; platforms and network effects; platform architecture and disruption; monetization and openness of platforms; the crowd, expertise, and prediction markets; the sharing economy, blockchain and economic impacts; and regulation, work, and labor in the sharing economy. The MBA program, course design, course materials, and assignments are described. Faculty at institutions interested in combating a ‘silo’ approach in the design and delivery of MBA programs and university instruction generally may wish to adopt the approach described in the paper

Sharing Economy or Skimming Economy? A Review on the Sharing Economy\u27s Impact

During the last years, the Sharing Economy with its prominent trailblazers like Airbnb and Uber has become ubiquitous in our daily lives, enabling us to enjoy new and less expensive means of transportation, accommodation, and other goods and services. With the increasing success comes an increasing headwind from the media, unions, and legislators, claiming negative impacts like precarious employment situations or the promotion of tax evasion. These circumstances provide an uncertain environment for researchers or practitioners developing new sharing services. Conducting a systematic literature review, a comprehensive overview of claimed positive and negative impacts of the Sharing Economy is given. Based on this overview, guidelines are derived that are supposed to help address these issues during the development of the new sharing services and underlying information systems

Sharing economy development paths in non-urban areas. The case of hospitality product in Polish national parks

Although the recent rise of sharing economy platforms revolutionized hospitality market around the world, its impact is unevenly distributed, as a majority of new P2P accommodation providers emerged in urban areas. The aim of this study is to provide sharing economy development paths in areas surrounding all 23 national parks in Poland. This study is conducted basing on data from online observation of 2 sharing economy platforms development with data gathered from official census. Results show that (1) sharing economy is still in its nascent stage in non-urban areas; (2) there is a strong positive relationship between sharing economy accommodation establishments and both the population density and income per capita, (3) population density and income per capita have no effect on the ratio between the number of traditional and sharing economy accommodation establishments. This study contributes to existing literature in following areas: (1) it assesses the sharing economy phenomenon in areas with natural attractions, (2) it validates the relationship between area population density and sharing economy proliferation, (3) it examines the connection between area economic performance and sharing economy proliferation

Sharing Means Renting?: An Entire-marketplace Analysis of Airbnb

Airbnb, an online marketplace for accommodations, has experienced a staggering growth accompanied by intense debates and scattered regulations around the world. Current discourses, however, are largely focused on opinions rather than empirical evidences. Here, we aim to bridge this gap by presenting the first large-scale measurement study on Airbnb, using a crawled data set containing 2.3 million listings, 1.3 million hosts, and 19.3 million reviews. We measure several key characteristics at the heart of the ongoing debate and the sharing economy. Among others, we find that Airbnb has reached a global yet heterogeneous coverage. The majority of its listings across many countries are entire homes, suggesting that Airbnb is actually more like a rental marketplace rather than a spare-room sharing platform. Analysis on star-ratings reveals that there is a bias toward positive ratings, amplified by a bias toward using positive words in reviews. The extent of such bias is greater than Yelp reviews, which were already shown to exhibit a positive bias. We investigate a key issue---commercial hosts who own multiple listings on Airbnb---repeatedly discussed in the current debate. We find that their existence is prevalent, they are early-movers towards joining Airbnb, and their listings are disproportionately entire homes and located in the US. Our work advances the current understanding of how Airbnb is being used and may serve as an independent and empirical reference to inform the debate.Comment: WebSci '1

A Review of How Firms Strategically Lead by Innovating Technology Within the Sharing Economy – A Case of Opportunities, Disruptions, Criticisms and Regulations

This article reviews how firms strategically lead by innovating technology within the sharing economy; highlighting the opportunities, disruptions, criticisms, and regulations associated with innovative technology. The article begins by defining sharing economy and its scale. Sharing economy is a complex phase with countless consequences that is adopted to define economic activities made possible through online transactions. To take a fair share of the market, companies use innovative technology. For example, eBay and Amazon utilize technologies such as Web 2.0 and mobile Apps to rid of market intermediaries, streamline transactions, and bring goods and services near people. Uber also allows customers to use a mobile application to reach drivers and this facilitates the sense of nearness. The use of technology in the sharing economy has many advantages. However, it carries with it some corrosive effects on the business community and society at large. Critics of technology are championing for stricter regulations. The sharing economy witnesses some pertinent disruptions caused by companies that innovate technology. They include unfair competition, lower entry barrier, regulations, quality standards, and financial sector risks. Keywords: Sharing Economy, Sharing Platform, Mobile Application, Chicken and Egg Strategy, Porter's Five Forces, Force Field Analysis, Technology, e-Business DOI: 10.7176/EJBM/11-12-01 Publication date: April 30th 201

Why People Participate in the Sharing Economy: A Social Exchange Perspective

We empirically analyze the competitive benefits of sharing economy services to understand why people participate in the sharing economy. We employ the social exchange theory to examine the participation intention in sharing over owning. We emphasize on the importance of service platform as a trusted third party and its influence on reducing the perceived risk of sharing economy. The research model includes the key antecedents to trust and relative advantages of sharing economy services. The model will be tested with the Airbnb users’ data. The research results are expected to contribute to researchers and practitioners to understand the sharing economy

Airbnb and Noise in New York City: An Empirical Investigation of Home-sharing and Noise-related Externalities

While communities and neighbourhoods place a premium on quiet living areas, home-sharing platforms bring tourism to ordinary homes. Noise has serious negative implications for public mental health and overall wellness. However, when residential neighbourhoods host sharing platform guests, their character may change to reflect the activities of short-stay, touristic inhabitants. To study the noise-related externalities generated by home-sharing platforms, this short paper empirically examines the relationship between Airbnb listings in the city of New York, and frequency of residential noise complaints made. First estimations using negative binomial specifications on a panel dataset of NYC boroughs shows a higher number of Airbnb listings, higher occupancy and commercial use is associated with noisy boroughs, whereas noise complaints are lesser in boroughs with expensive listings. We outline steps for future work and development. This study speaks to IS literature on platform negative externalities disrupting community life, and offers insights for remedial public policy