10,341 research outputs found

    Industry Self-Regulation of Consumer Data Privacy and Security, 32 J. Marshall J. Info. Tech. & Privacy L. 15 (2015)

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    Industry self-regulation of consumer data privacy and security has been proposed as a flexible alternative and compliment to traditional government regulation. This study analyzes whether different types of existing industry-led standards improve online privacy and security. This paper examines which types of firms join voluntary standards and whether there is a difference in outcomes between trade association memberships (like the Digital Advertising Alliance) and certification programs (like TRUSTe). Results suggest that more trafficked websites are more likely to adopt standards, and that trade association member-ship does not have an effect on privacy and security performance. This article highlights the need for a valid privacy metric for robust empirical study of data privacy and security

    System Dynamics in Food Quality Certifications: Development of an Audit Integrity System

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    Due to the complex structure of certification schemes the risk of flaws and scandals is generally high. It has further increased by several developments during the last years. With regard to their potential effects, it is questionable whether the certification approaches are actually able to detect deficiencies within the system and thus prevent crises which may lead to its breakdown. Hence, the ability of a standard to meet its objectives of food quality and safety needs to be enforced. In this contribution we launch the implementation of a controlling tool which automatically monitors audit quality based on information of the respective data bases. By analysing possible negative influences, opportunistic behaviour can thus be detected.certification, quality assurance systems, risk oriented auditing approach, Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

    Signaling Mechanisms and Survival of Service Providers in an Electronic Market

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    This research studies the survival of software implementation service providers in an electronic market (or e-market), and the role that vendor characteristics such as reputation, education, experience, ‘preferred provider’ status, and references play in predicting which service providers will exit the e-market after it (the e-market) implements trust enhancing mechanisms. Using theories from asymmetric information, signaling, and trust literatures, we propose a model to examine the relation between firm characteristics and survival. Our empirical results support the key role played by these signals in inducing the separating equilibrium that leads to the shakeout among software service providers in an e-market

    The Benefits of Human Resource Certification: A Critical Analysis and Multi-Level Framework for Research

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    Despite the huge success of marketing certification to human resources (HR) professionals, does it benefit individuals, employers, and the field of HR? We know very little about whether certification has an impact on any important individual- and organizational-level outcomes. This article provides a brief history of HR certification and its purported benefits. Then we review the literature on perceptions of HR certification, including a survey we conducted with about 190 HR professionals. Finally, we present a multi-level model of hypothesized HR certification effects. In this conceptual framework, which unifies both micro and macro levels of analyses (i.e., individual, unit, organization, and profession), we derive 13 testable propositions to guide future research on the benefits of HR certification.HR certification, Multi-Level Framework for Research

    Consumer Preferences for Cheese Products with Quality Labels: The Case of Parmigiano Reggiano and Comté

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    Simple Summary A number of food quality schemes may be associated with dairy products, promoting specific production methods (e.g., organic) as well as products obtained from a narrow area of origin (e.g., protected designation of origin, PDO). The coexistence of multiple labels is less investigated in the literature, even if its role in consumer studies could reveal interesting hints for both the stakeholders in the production chains (e.g., to target marketing strategies) and for consumers, who could access more precise information about the origin and the production processes. In this study, we provide evidence of consumers' preferences and willingness to pay for cheese products (Comte and Parmigiano Reggiano) in two EU countries (France and Italy, respectively). We found how consumers' choices varied by combining the PDO label with other quality features (i.e., the organic label in France, and the Mountain Product label in Italy). Still, price remained the most important factor influencing consumers' decisions; however, we found how combined food quality labels could influence consumers' choices. We found different market segments in the two countries presenting more positive attitudes towards quality-labeled food products, thus providing stakeholders with helpful information on how to develop tailored marketing strategies. The paper examined the potential demand for a food specialty dairy product, cheese, with alternative multiple labels. A random-parameter logit model was applied to interpret the results of online discrete choice experiments (DCE) for the elicitation of the preference of the cheese consumers surveyed in two European countries, France (n = 400) and Italy (n = 408). We analyzed consumers' choices of quality-labeled cheeses, i.e., protected-designation-of-origin (PDO)-labeled Parmigiano Reggiano and Comte. Other features were tested, such as organic (Comte) and Mountain Product (Parmigiano Reggiano) labels, companies' brands and price. The paper contributes to the literature on credence attributes by examining consumers' willingness to pay (WTP) for differentiated cheese products in two EU countries, and by identifying the effects of personal characteristics, in terms of socio-demographics and level of product involvement, on the differences in preferences. The results show that price was the most important attribute in both countries, followed by the PDO quality label, particularly when paired with the second quality feature. Two cheese consumer segments were identified via latent class models in each country, helping producers to improve their marketing of agri-food products with a high gastronomic value and differentiation potential

    Trustworthy Privacy Indicators: Grades, Labels, Certifications, and Dashboards

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    Despite numerous groups’ efforts to score, grade, label, and rate the privacy of websites, apps, and network-connected devices, these attempts at privacy indicators have, thus far, not been widely adopted. Privacy policies, however, remain long, complex, and impractical for consumers. Communicating in some short-hand form, synthesized privacy content is now crucial to empower internet users and provide them more meaningful notice, as well as nudge consumers and data processors toward more meaningful privacy. Indeed, on the basis of these needs, the National Institute of Standards and Technology and the Federal Trade Commission in the United States, as well as lawmakers and policymakers in the European Union, have advocated for the development of privacy indicator systems. Efforts to develop privacy grades, scores, labels, icons, certifications, seals, and dashboards have wrestled with various deficiencies and obstacles for the wide-scale deployment as meaningful and trustworthy privacy indicators. This paper seeks to identify and explain these deficiencies and obstacles that have hampered past and current attempts. With these lessons, the article then offers criteria that will need to be established in law and policy for trustworthy indicators to be successfully deployed and adopted through technological tools. The lack of standardization prevents user-recognizability and dependability in the online marketplace, diminishes the ability to create automated tools for privacy, and reduces incentives for consumers and industry to invest in privacy indicators. Flawed methods in selection and weighting of privacy evaluation criteria and issues interpreting language that is often ambiguous and vague jeopardize success and reliability when baked into an indicator of privacy protectiveness or invasiveness. Likewise, indicators fall short when those organizations rating or certifying the privacy practices are not objective, trustworthy, and sustainable. Nonetheless, trustworthy privacy rating systems that are meaningful, accurate, and adoptable can be developed to assure effective and enduring empowerment of consumers. This paper proposes a framework using examples from prior and current attempts to create privacy indicator systems in order to provide a valuable resource for present-day, real world policymaking. First, privacy rating systems need an objective and quantifiable basis that is fair and accountable to the public. Unlike previous efforts through industry self-regulation, if lawmakers and regulators establish standardized evaluation criteria for privacy practices and provide standards for how these criteria should be weighted in scoring techniques, the rating system will have public accountability with an objective, quantifiable basis. If automated rating mechanisms convey to users accepted descriptions of data practices or generate scores from privacy statements based on recognized criteria and weightings rather than from deductive conclusions, then this reduces interpretive issues with any privacy technology tool. Second, rating indicators should align with legal principles of contract interpretation and the existing legal defaults for the interpretation of silence in privacy policy language. Third, a standardized system of icons, along with guidelines as to where these should be located, will reduce the education and learning curve now necessary to understand and benefit from many different, inconsistent privacy indicator labeling systems. And lastly, privacy rating evaluators must be impartial, honest, autonomous, and financially and operationally durable in order to be successful

    Strategies to Mitigate Losses from Product-Harm Crises in the Agri-Food Industry

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    Some agri-food managers of United States-based companies use strategies to mitigate product-harm crises.The loss of brand and corporate sustainability increases for companies not utilizing mitigating strategies to reduce losses from agri-food product-harm crisis.The purpose of this multiple case study was to explore the strategies managers use to mitigate losses from agri-food product-harm crises. Coombs\u27 situational crisis communication theory served as the conceptual framework for this study. A sample of 3 managers from 3 agri-food companies in the southern United States shared their mitigating strategies to reduce losses from a product-harm crisis. Methodological triangulation assisted in reviewing and analyzing information from semistructured interviews, relevant company documents, and journal notes. The use of alphanumeric coding, discovering, and identifying themes, selecting relevant themes, organizing themes in hierarchical order, and linking themes to the phenomenon under study indicated four main themes supporting the benefits of mitigating strategies to reduce losses from an agri-food product-harm crisis. The main themes included the use of pre-crisis mitigating strategies, mid-crisis mitigating strategies, post-crisis mitigating strategies, and high pressure pasteurization (HPP). Findings from this study indicated that agri-food managers use strategies to mitigate product-harm crises, but the added expense of some mitigating strategies often precludes their use. The study findings may contribute to social change by increasing the awareness of agri-food managers, consumers, and company leadership to use mitigating strategies to reduce the number of illnesses and deaths associated with a product harm crisis

    A Design Theory for Certification Presentations

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    Prior information system research remains inconsistent of the effects of system certifications. In their current use, certifications are often reduced to graphical seals. This approach fails to incorporate detailed assurance information emanating from the certification process. To address this gap, we adopt a design science approach and deploy a four-phase research design to clarify how to design impactful IS certification presentations. First, we identify sources of users’ limited understanding of seals and formulate a design proposal for a certification presentation by drawing upon the elaboration likelihood model. In the second phase, we formulate and validate a set of design meta- requirements and guidelines to improve certification presentation, using cognitive load theory and Toulmin’s model of argumentation as kernel theories. In the third phase, new certification presentations that comply with the proposed guidelines are developed and evaluated for their effectiveness. We show that presentations that augment seal-based certification presentations with richer assurance information improve certification effectiveness. This increases users’ assurance and trust perceptions when the presentations align with the users’ cognitive information processing needs in ways that reduce their cognitive load and enhance argument quality of assurance information
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