Mobile app users' privacy concerns: different heuristics for privacy assurance statements in the EU and China

PurposeAs mobile apps request permissions from users, protecting mobile users' personal information from being unnecessarily collected and misused becomes critical. Privacy regulations, such as General Data Protection Regulation in the European Union (EU), aim to protect users' online information privacy. However, one’s understanding of whether these regulations effectively make mobile users less concerned about their privacy is still limited. This work aims to study mobile users' privacy concerns towards mobile apps by examining the effects of general and specific privacy assurance statements in China and the EU.Design/methodology/approachDrawing on ecological rationality and heuristics theory, an online experiment and a follow-up validation experiment were conducted in the EU and China to examine the effects of privacy assurance statements on mobile users' privacy concerns.FindingsWhen privacy regulation is presented, the privacy concerns of Chinese mobile users are significantly lowered compared with EU mobile users. This indicates that individuals in the two regions react differently to privacy assurances. However, when a general regulation statement is used, no effect is observed. EU and Chinese respondents remain unaffected by general assurance statements.Originality/valueThis study incorporates notions from fast and frugal heuristics end ecological rationality – where seemingly irrational decisions may make sense in different societal contexts.

Estimating Dietary Intake from Grocery Shopping Data—A Comparative Validation of Relevant Indicators in Switzerland

In light of the globally increasing prevalence of diet-related chronic diseases, new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards hereby promise to serve as an objective and automatically traceable digital marker for individual food choice behavior and do not require users to manually log individual meal items. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their shopping data in a machine-readable form, representing a historic chance to leverage shopping data for scalable monitoring of food choices. Multiple quantitative indicators for evaluating the nutritional quality of food shopping have been suggested, but so far, no comparison has validated the potential of these alternative indicators within a comparative setting. This manuscript thus represents the first study to compare the calibration capacity and to validate the discrimination potential of previously suggested food shopping quality indicators for the nutritional quality of shopped groceries, including the Food Standards Agency Nutrient Profiling System Dietary Index (FSA-NPS DI), Grocery Purchase Quality Index-2016 (GPQI), Healthy Eating Index-2015 (HEI-2015), Healthy Trolley Index (HETI) and Healthy Purchase Index (HPI), checking if any of them performs differently from the others. The hypothesis is that some food shopping quality indicators outperform the others in calibrating and discriminating individual actual dietary intake. To assess the indicators’ potentials, 89 eligible participants completed a validated food frequency questionnaire (FFQ) and donated their digital receipts from the loyalty card programs of the two leading Swiss grocery retailers, which represent 70% of the national grocery market. Compared to absolute food and nutrient intake, correlations between density-based relative food and nutrient intake and food shopping data are stronger. The FSA-NPS DI has the best calibration and discrimination performance in classifying participants’ consumption of nutrients and food groups, and seems to be a superior indicator to estimate nutritional quality of a user’s diet based on digital receipts from grocery shopping in Switzerland.

Platform Revenue Strategy Selection Considering Consumer Group Data Privacy Regulation

In the era of big data, consumer group privacy has become an important source of revenue for the digital platform. Considering the situation that the platform collects consumer group data privacy to generate business revenue, we explore how the service matching level and commission rate affect the platform revenue, social welfare, and seller benefits. Based on the theory of group privacy, the three-party equilibrium evolution is solved by constructing a sequential game model including platform, seller, and consumer alliance. It is found that when the service matching level of the platform is greater than the threshold value, there are two main situations: on the one hand, if using the data privacy of a consumer group is subject to market regulation, the platform will set a high commission rate and service matching level in order to maximize profit. However, social welfare and seller’s business benefit both reach a minimum in this case, and the three-party game cannot attain equilibrium. On the other hand, when the market governor relaxes the platform’s regulation on the use of consumer group privacy data and data revenue efficiency is high enough, the platform can maximize the revenue by increasing the service matching level and reducing the commission rate. The optimal commission rate depends on the data revenue efficiency of the platform. Moreover, when the platform sets the highest commission rate and the service matching level is at a medium level, a stable partial equilibrium among the three-party will be achieved. These conclusions can give some insights into platform’s business model choice decision.

Social Welfare Analysis under Different Levels of Consumers’ Privacy Regulation

With the rapid development of information technology, digital platforms can collect, utilize, and share large amounts of specific information of consumers. However, these behaviors may endanger information security, thus causing privacy concerns among consumers. Considering the information sharing among firms, this paper constructs a two-period duopoly price competition Hotelling model, and gives insight into the impact of three different levels of privacy regulations on industry profit, consumer surplus, and social welfare. The results show that strong privacy protection does not necessarily make consumers better off, and weak privacy protection does not necessarily hurt consumers. Information sharing among firms will lead to strong competitive effects, which will prompt firms to lower the price for new customers, thus damaging the profits of firms, and making consumers’ surplus higher. The level of social welfare under different privacy regulations depends on consumers’ product-privacy preference, and the cost of information coordination among firms. With the cost of information coordination among firms increasing, it is only in areas where consumers have greater privacy preferences that social welfare may be optimal under the weak regulation.

Consumer Consent and Firm Targeting After GDPR: The Case of a Large Telecom Provider

The general data protection regulation (GDPR) represents a dramatic shift in global privacy regulation. We focus on GDPR’s enhanced consumer consent requirements that aim to provide transparent and active elicitation of data allowances. We evaluate the effect of enhanced consent on consumer opt-in behavior and on firm behavior and outcomes after consent is solicited. Utilizing an experiment at a large telecommunications provider with operations in Europe, we find that opt-in for different data types and uses increased once GDPR-compliant consent was elicited. However, consumers did not uniformly increase data allowances and continued to generally restrict permissions for more sensitive or tangential uses of their personal information. We also find that sales, the efficacy of marketing communications, and contractual lock-in increased after consumers provided new data allowances. Additional analysis suggests that these gains to the firm emerged because new data allowances enabled them to increase their use of targeted marketing for households that were amenable to these marketing efforts. These results have significant implications for firms and policymakers and suggest that enhanced consent provided via GDPR may be effective for increasing consumer privacy protection while also allowing firms reliant on consumers’ personal information to improve outcomes. This paper was accepted by Chris Forman, information systems.

Office relocation: changes in privacy fit, satisfaction and fatigue

Purpose The purpose of this study was to examine the effect of an office move (and associated changes in settings, protocols and autonomy) on changes in privacy fit, privacy-related coping appraisal as well as changes in satisfaction and fatigue. The study builds on Altman’s (1975) privacy regulation model and the cognitive appraisal theory as a transactional model of stress. Design/methodology/approach Data was collected over two points of measurement from 61 office workers who moved from a standard open-plan office to an office that is activity based. The first questionnaire was distributed six weeks prior to the office move and the follow-up questionnaire approximately eight months after. With its longitudinal design, this study extends past research by demonstrating the changing nature of privacy fit and revealing predictors of change in privacy fit and coping appraisal. Findings Cross-lagged autoregression analysis of change confirmed suggested predictors such as increase in variety of settings and in adherence of others to protocols that positively influenced post-move privacy fit. Further, change in coping appraisal post move was predicted by an increase in perceived environmental and behavioural flexibility. Changes in privacy fit and appraisal were associated with increases in job and workplace satisfaction and decreases in emotional and mental work fatigue post move. Originality/value Results could inform physical workplace design as well as cultural interventions in organisations. To the best of authors’ knowledge, this is the first study investigating the psychological process of privacy experience by using a transactional model of stress.

A Conceptual Foundation for Blockchain Development: The Contribution of Ibn Khaldun

Blockchain is a game-changing technology that has the ability to solve plenty of real-world issues in the digital age. Blockchain is a subject of huge interest in many industries and academia in terms of discovering technology and classifying challenges and innovative practical application for the industry. This study addresses the challenges that are of main concern in designing a Blockchain platform. In this regard, the problems such as privacy, regulation, security, lack of adequate skill sets, energy consumption, inefficient technology design, the criminal connection, scalability, energy consumption, and public view are discovered to be important. Due to such challenges, the blockchain technologies have emitted a negative impression due to its incapability to be successfully applied while, at the same time, its benefits could not be fully gained by its investors. The objective of this study, hence, is to assess the blockchain advantages and growth in light of the eight foundations for economic development as advocated by Ibn Khaldun. Expending Ibn Khaldun’s philosophy, each challenge is deliberated and investigated to find the answers and solutions for addressing and overcoming the afore-mentioned challenges.