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Cross-national Heterogeneity in Online Advertising: A Panel Data Analysis of the Effect of Data Privacy Laws

2017 | Americas Conference on Information Systems | Citations: 0
Authors: Kshetri, Nir; Alcantara, Lailani

Abstract: There is large cross-country variation in the development of the online advertis ... Expand

Abstract: There is large cross-country variation in the development of the online advertising industry and market. This paper’s primary objective is to provide theoretical and empirical evidence demonstrating the role of the strictness of data privacy regulations on online ad spending. An empirical analysis of data for forty economies for a nine year period (2003-2011) indicated that the strictness of data privacy laws is negatively related to online ad spending. Further analyses indicate insignificant effects of the strictness of data privacy regulations on per capita ad spending across all media as well as on per capita non-online ad spending. Our findings thus suggest that strict data privacy laws influence online advertising in a way that is unique to this form of advertising. Collapse

Semantic filters: Data Protection Directive

Topics: marketing management online advertising information privacy law advertising management legal context

Methods: cross sectional research hierarchical linear modeling descriptive statistic longitudinal research survey
A systematic methodology for privacy impact assessments: a design science approach
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2014 | European Journal of Information Systems | Citations: 14
Authors: Oetzel, Marie Caroline; Spiekermann, Sarah

Abstract: For companies that develop and operate IT applications that process the personal ... Expand

Abstract: For companies that develop and operate IT applications that process the personal data of customers and employees, a major problem is protecting these data and preventing privacy breaches. Failure to adequately address this problem can result in considerable damage to the company’s reputation and finances, as well as negative effects for customers or employees (data subjects). To address this problem, we propose a methodology that systematically considers privacy issues by using a step-by-step privacy impact assessment (PIA). Existing PIA approaches cannot be applied easily because they are improperly structured or imprecise and lengthy. We argue that companies that employ our PIA can achieve ‘privacy-by-design’, which is widely heralded by data protection authorities. In fact, the German Federal Office for Information Security (BSI) ratified the approach we present in this article for the technical field of RFID and published it as a guideline in November 2011. The contribution of the artefacts we created is twofold: First, we provide a formal problem representation structure for the analysis of privacy requirements. Second, we reduce the complexity of the privacy regulation landscape for practitioners who need to make privacy management decisions for their IT applications. Collapse

Semantic filters: Data Protection Directive

Topics: privacy data protection radio frequency identification system development method legal context

Methods: action research design artifact design science qualitative interview unified modeling language

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Cross-national Heterogeneity in Online Advertising: A Panel Data Analysis of the Effect of Data Privacy Laws

A systematic methodology for privacy impact assessments: a design science approach