The privacy calculus suggests that online self-disclosure is based on a cost-benefit trade-off. However, although companies progressively collect information to offer tailored services, the effect of both personalization and context-dependency on self-disclosure has remained understudied. Building on the privacy calculus, we hypothesized that benefits, privacy costs, and trust would predict online self-disclosure. Moreover, we analyzed the impact of personalization, investigating whether effects would differ for health, news, and commercial websites. Results from an online experiment using a representative Dutch sample (N = 1,131) supported the privacy calculus,

This study investigates the reciprocal relationships between the fluctuation of the closing prices of three companies listed on the Amsterdam exchange index, namely ING, Philips and Shell and online media coverage related to these firms for a period of two years (2014-2015). Automated content analysis methods were employed to analyze sentiment and emotionality and to identify corporate topics related to the companies. A positive relation of the amount of coverage and emotionality with the fluctuation of stock prices was detected for Shell and Philips. In addition, corporate topics were found to positively Granger cause stock price fluctuation, particularly for Philips. The study advances past research in showing that the prediction of stock price fluctuation based on media coverage can be improved by including sentiment, emotionality, and corporate topics. The findings inform strategic communication, and particularly investor relations, in suggesting that media attention, sentiment, and certain corporate topics are crucial when managing media relations and with regard to securing a fair evaluation of listed companies. Furthermore, the innovative research methods are useful for researchers and practitioners alike in showcasing how media coverage related to firms and their stock fluctuations can be identified and analyzed in a reproducible, hands-on and efficient manner.

Purpose The purpose of this paper is to provide insights into personalisation from a practitioner’s perspective to bridge the practitioner-academia gap and steer the research agenda. A wide scope of research has investigated personalisation from a consumer perspective. The current study aims at bridging the consumer and practitioner perspective by entering into a dialogue about the practical application of personalisation. It takes the personalisation process model by Vesanen and Raulas (2006) as the starting point. Design/methodology/approach Lead by the exploratory character of the study, semi-structured expert interviews were conducted with marketers, market researchers and online privacy specialists. Findings The results showcase how practitioners view the issues present in consumer research. First, they are overly positive about personalisation. Second, they are aware of constraining factors; findings showcase best practices to mitigate them. Finally, practitioners are aware of controversies surrounding personalisation and thus engage in ethical discussions on personalisation. Research limitations/implications This study shows that practitioners have somewhat different believes about the utility and appreciation of personalised marketing practices than consumers. It also shows awareness of some of the key concerns of consumers, and that such awareness translates into organisational and technological solutions that can even go beyond what is currently mandated by law. Six insights into personalised marketing as well as expectations for the future of the phenomenon are discussed to steer the research agenda. Practical implications Insights into the practice of personalisation contribute to a shared understanding of this phenomenon between involved actors, such as marketers, advertisers, and consumer representatives. In addition, implications for lawmakers are discussed, suggesting that the implementation of privacy laws needs more clarity and that actions aiming at improving consumer knowledge are needed. Originality/value The paper contributes to the literature first, by drafting a descriptive map of personalisation from a practitioners’ perspective and contrasting it with the perspective stemming from consumer research and, second, by offering insights into the current developments and direct implications for practice and future research.

To advance the emerging research field of computational advertising this article describes the new computational advertising ecosystem, identifies key actors within it and interactions among them, and discusses future research agendas. Specifically, we propose systematic conceptualization for the redefined advertising industry, consumers, government, and technology environmental factors, and discuss emerging and anticipated tensions that arise in the macro and exogenous factors surrounding the new computational advertising industry, leading to suggestions for future research directions. From multidisciplinary angles, areas of tension and related research questions are explored from advertising, business, computer science, and legal perspectives. The proposed research agendas include exploring transparency of computational advertising practice and consumer education; understanding the trade-off between explainability and performance of algorithms; exploring the issue of new consumers as free data laborers, data as commodity, and related consumer agency challenges; understanding the relationship between algorithmic transparency and consumers' literacy; evaluating the trade-off between algorithmic fairness and privacy protection; examining legal and regulatory issues regarding power imbalance between actors in the computational advertising ecosystem; and studying the trade-off between technological innovation and consumer protection and empowerment.

In the digital economy, consumer vulnerability is not simply a vantage point from which to assess some consumers’ lack of ability to activate their awareness of persuasion. Instead, digital vulnerability describes a universal state of defencelessness and susceptibility to (the exploitation of) power imbalances that are the result of the increasing automation of commerce, datafied consumer–seller relations, and the very architecture of digital marketplaces. Digital vulnerability, we argue, is architectural, relational, and data-driven. Based on our concept of digital vulnerability, we demonstrate how and why using digital technology to render consumers vulnerable is the epitome of an unfair digital commercial practice.