Privacy and platform competition

Dimakopoulos, Philipp D.; Sudaric, Slobodan

doi:10.1016/j.ijindorg.2018.01.003

Cited by 25 publications

(12 citation statements)

References 19 publications

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“…Although the platform economy has received extensive attention, limitations remain. Relevant research has focused mainly on trading platforms that connect bilateral and multilateral markets (Dimakopoulos and Sudaric, 2018). Research on internal platform enterprises (Intrapreneurship mechanism) that have transformed from traditional manufacturing and service-oriented enterprise groups is inadequate (Chen et al, 2020;Wan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Intrapreneurship in the digital era: driven by big data and human resource management?

Wan

Liu

2021

CMS

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Purpose This study aims to investigate whether big data enabling (BDE) and empowerment-focused human resource management (EHRM) can effectively promote employee intrapreneurship and their effects on platform enterprises’ innovation performance. The paper also examines the contexts under which employee intrapreneurship may affect business performance. Design/methodology/approach Data were collected from 155 platform enterprises in China in the form of questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises’ information. Findings The results indicated that BDE, EHRM and their synergy positively influenced employee intrapreneurship, which could potentially extend to enterprise performance. Specifically, employee intrapreneurship played a partial mediating role between BDE, EHRM and performance, and a whole mediating role between synergy and performance. Finally, platform strategic flexibility played a positive moderating role between employee intrapreneurship and performance. Practical implications Platform enterprises should focus on the construction and utilization of big data and EHRM to stimulate organizational vitality. They also need to encourage employees to start businesses and build more flexible strategies to adapt to the dynamic economic environment. Originality/value This is an empirical study on the effect mechanism of big data and HRM on employee intrapreneurship and platform enterprises’ performance in China. The paper combined big data, HRM and employee intrapreneurship, which broke through the previous research on enterprise entrepreneurship and social entrepreneurship. The findings guide platform enterprises to stimulate organizational vitality and achieve better performance in the digital era.

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Section: Introductionmentioning

confidence: 99%

Intrapreneurship in the digital era: driven by big data and human resource management?

Wan

Liu

2021

CMS

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“…For the basic service, the platform can allocate a subset of the advertisers

\sum \subseteq ([],, σ, 1)

, under which consumers are informed of all advertisers with a matching probability over

σ

. Following Crampes et al (2009) and Dimakopoulos and Sudaric (2018), we assume that the total number of advertisements that a consumer sees is denoted by

∣ normalΣ ∣ = 1 - σ

(i.e., the Lebesgue measure of

\sum

). Meanwhile, referring to Jones and Mendelson (2011), digital content usually has high fixed production costs, but once developed, it has negligible reproduction and distribution costs, so the marginal cost can be zero.…”

Section: Modelmentioning

confidence: 99%

Fee or subsidy? Pricing strategies for digital content platforms with different content and advertising

Mei

Wang

2023

Manage Decis Econ

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The practice of offering basic and premium services with different content and advertising on digital content platforms has gained popularity. The challenge of balancing subscription fees and advertising fees to maximize revenue has led some platforms to charge consumers for the basic service, while others subsidize it. Therefore, this study aims to examine whether consumers should be charged or subsidized for the basic service, which includes lower‐quality content and advertisements. By utilizing an optimization model, we discover that when there is a significant surplus of advertising or a slight surplus of advertising with a minimal profit to advertisers, the platform should charge. However, when the surplus of advertising is low and the profit to advertisers is high, the platform should subsidize. Furthermore, under partial market coverage, when the surplus of advertising is low and the profit to advertisers is moderate, the platform should initially charge and then subsidize as the content quality difference increases. Surprisingly, the intuition that the pricing of the basic service and advertising should decrease with the nuisance of advertising and increase with the surplus of advertising may not always hold true. This study led to a novel approach to exploring differentiated pricing for digital content platforms, taking into account the advertising information value from a bilateral market perspective.

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“…The corresponding theoretical work mostly presumes that more market power comes on average with more data collection by companies (Casadesus-Masanell and Hervas-Drane, 2015; Dimakopoulos and Sudaric, 2018). In this line of research, data is assumed to be valuable for firms, be it for targeted advertisement, the implementation of user-specific pricing, or as a direct possibility for revenue generation by selling the data to third parties.…”

Section: Related Literaturementioning

confidence: 99%

Competition and Privacy in Online Markets: Evidence from the Mobile App Industry

2020

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Policy makers are increasingly concerned about the combination of market power and massive data collection in digital markets. This concern is fueled by the theoretical prediction that more market power causes firms to collect ever more data from their users. We investigate the relationship between market power and data collection empirically. We analyze data about more than 1.5 million mobile applications in several thousand submarkets of Google's Play Store. We observe these data for over two years and combine information on an app's data collection with information about its competitive environment. Our analysis highlights a robust positive relationship between market power and data collection. We find that more data are being collected in concentrated markets, and apps with higher market shares collect more data. This pattern robustly emerges across a series of cross-sectional and panel regressions as well as a series of specifications that exploit exogenous variation.

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Privacy and platform competition

Cited by 25 publications

References 19 publications

Intrapreneurship in the digital era: driven by big data and human resource management?

Intrapreneurship in the digital era: driven by big data and human resource management?

Fee or subsidy? Pricing strategies for digital content platforms with different content and advertising

Competition and Privacy in Online Markets: Evidence from the Mobile App Industry

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