Analysing Uber in Social Media — Disruptive Technology or Institutional Disruption?

Laurell, Christofer; Sandström, Christian

doi:10.1142/9781786347602_0017

Cited by 23 publications

(39 citation statements)

References 9 publications

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“…Scholars who researched the sharing economy mainly took Airbnb and Uber as cases. Guttentag [15], Laurell and Sandström [16], Bashir and Verma [17], Laurell [18], Ferrell et al [3], Guttentag and Smith [19], and Kim et al [20] regarded Airbnb and Uber as forms of sharing economies to disrupt the traditional accommodation and transportation market through the lens of disruptive innovation theory. As typical disruptive innovations, Airbnb and Uber often were cheaper than traditional industries [15,21].…”

Section: Research On the Sharing Economymentioning

confidence: 99%

Effects of the Sharing Economy on Sequential Innovation Products

2019

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The emergence of the sharing economy has affected consumers and traditional manufacturers. We focus on product sharing and analyze its impacts on the manufacturer that offers sequential innovation products. We develop a two-period model in which a monopoly manufacturer sells an old product and introduces a new product in each period; in the same period, an owner who bought a product for self-use from the manufacturer in the previous period may rent the product out because of the low self-use value in this period. Our analysis reveals that the sharing market increases or decreases the manufacturer’s profit, and this is mainly determined by the moral hazard cost and the salvage value of sharing products. Furthermore, the sharing market has an insignificant effect on the upgrading of products, but there is a bumping-down effect on old products’ sales. Finally, the effect of the sharing market on the revenue of the owner and the sharing platform mostly depends on the risk of moral hazard, and it also affects the manufacturer’s product rollover strategy.

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Section: Research On the Sharing Economymentioning

confidence: 99%

Effects of the Sharing Economy on Sequential Innovation Products

2019

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“…He stresses that each type of innovation has different implications for incumbents and how they should respond. This is supported by Laurell and Sandström () who outline that Uber is more prevalent as an “institutional disruptor.”…”

Section: Literature Reviewmentioning

confidence: 74%

Evaluating the impact of Uber on London's taxi service: A critical review of the literature

Skok

Baker

2018

Knowl Process Manag

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Uber is a very well-funded operation that has made innovative use of smartphone technology in the highly regulated and bureaucratic market of international taxi cab operations. The company has often adopted an aggressive approach when entering the marketplace in a given city, so the question arises as to how should the incumbent taxi trade react to such fierce competition that is popular with the public. This paper describes a literature review related to the taxi and private hire industry inLondon that provides a foundation to answer this question. A second paper will present recommendations to help organisations prepare a response to the new competition.From the collated journals, various themes emerged, and their reference lists were analysed to review recurring authors. The literature was organised into a thematic analysis grid to critique the content and analyse the implications for a project to evaluate the possible way forward for the taxi trade in response to Uber's aggressive approach. Six key themes were identified: disruptive innovation, sharing economy, business model, historical context, regulations, and labour.The literature review was extended to include studies of the same area in the United States. Caution was exercised, as the U.S. market operates different ground transportation services and regulations. Nonetheless, comparisons were drawn regarding factors that were similar.The identification of the six key themes will aid the taxi trade as well as researchers who wish to investigate the impact of Uber as and when it moves into new international markets.

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“…• Text cleaning. This includes removing each URL link, mentions, numbers, non-Arabic letters, emoticons, multi-spaces, special characters and punctuation marks [20], [21].…”

Section: B Text Classification Phasementioning

confidence: 99%

“…For example, replacing the same letters that occur in different forms by one of them, or removing non letters (e.g., Arabic diacritics). Table 1 shows most Arabic normalization conditions [20]- [22].…”

Section: B Text Classification Phasementioning

confidence: 99%

Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter

et al. 2020

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Social Media (SM) platforms, particularly Twitter, have become useful tools for startup companies (henceforth startups) which use the latter to support most of their business activities. As a result, there is a need to gauge the performance of specific business initiatives vis-à-vis public sentiment, or more specifically the spread of such initiatives based on Twitter user-generated content. Previous research which makes use of Twitter analysis to analyze the business activities of startups is minimal, especially for Twitter user content in the Arabic language. Consequently, this paper proposes an analytics-based framework called Startup Initiatives Response Analysis (SIRA) designed to assess the performance of initiatives launched by startups via text classification, sentiment analysis, and statistical analysis techniques. To provide empirical evidence for the viability of the proposed research framework, this paper examined the case of an Arab transportation network startup, carrying out a SIRA analysis of an initiative undertaken by Careem to empower women by encouraging them to work for the company. The results confirm the effectiveness of the proposed framework for statistically measuring the initiative spread and the public feedback based on the user-generated content on the Twitter social platform.

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Analysing Uber in Social Media — Disruptive Technology or Institutional Disruption?

Cited by 23 publications

References 9 publications

Effects of the Sharing Economy on Sequential Innovation Products

Effects of the Sharing Economy on Sequential Innovation Products

Evaluating the impact of Uber on London's taxi service: A critical review of the literature

Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter

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