Penn State College of Communications

About: Penn State College of Communications is a based out in . It is known for research contribution in the topics: Relay & Cognitive radio. The organization has 2106 authors who have published 2119 publications receiving 24693 citations.

Privacy Concerns and Consumer Willingness to Provide Personal Information

Abstract: The authors examine potential relationships among categories of personal information, beliefs about direct marketing, situational characteristics, specific privacy concerns, and consumers’ direct marketing shopping habits. Furthermore, the authors offer an assessment of the trade-offs consumers are willing to make when they exchange personal information for shopping benefits. The findings indicate that public policy and self-regulatory efforts to alleviate consumer privacy concerns should provide consumers with more control over the initial gathering and subsequent dissemination of personal information. Such efforts must also consider the type of information sought, because consumer concern and willingness to provide marketers with personal data vary dramatically by information type.

Atravesando Fronteras/Border Crossings: A Critical Ethnographic Exploration of the Consumer Acculturation of Mexican Immigrants

Abstract: This article critically examines the consumption experiences of Mexican immigrants in the United States. An empirical model of Mexican immigrant consumer acculturation is derived that consists of movement, translation, and adaptation processes leading to outcomes of assimilation, maintenance, resistance, and segregation. By drawing attention to the ways in which international movements of people, companies, and products intersect within existing subcultural relations, this research provides a more satisfactory account of the complex dynamic processes through which Mexican immigrants adapt to the consumer environment in the United States.

A survey of machine learning for big data processing

Abstract: There is no doubt that big data are now rapidly expanding in all science and engineering domains. While the potential of these massive data is undoubtedly significant, fully making sense of them requires new ways of thinking and novel learning techniques to address the various challenges. In this paper, we present a literature survey of the latest advances in researches on machine learning for big data processing. First, we review the machine learning techniques and highlight some promising learning methods in recent studies, such as representation learning, deep learning, distributed and parallel learning, transfer learning, active learning, and kernel-based learning. Next, we focus on the analysis and discussions about the challenges and possible solutions of machine learning for big data. Following that, we investigate the close connections of machine learning with signal processing techniques for big data processing. Finally, we outline several open issues and research trends.

A Work‐In‐Process Literature Review: Incorporating Social Media in Risk and Crisis Communication

Abstract: This work-in-process literature review gives an overview of recent insight in the incorporation of social media in risk and crisis communication By marrying literature and examples of social media use with best practices in risk and crisis communication, this study demonstrates how communicators can embrace social media tools to better manage a risk or crisis Best practices in risk and crisis communication are summarized, examples of social media tools used to manage risks and crises are expounded, and recommendations for practitioners are provided to incorporate social media tools in risk and crisis communication

Dimensions of Privacy Concern Among Online Consumers

Abstract: The Federal Trade Commission (FTC) is one of many organizations studying influences on consumer privacy online. The authors investigate these influences, taking into consideration the current body of literature on privacy and the Internet and the FTC’s core principles of fair information practice. The authors analyze these influences to assess the underlying factors of privacy concern online. The authors examine the current recommendations and actions of the FTC in light of the results of an e-mail survey of online consumers in the United States that assessed their attitudes toward privacy online. The authors find that the FTC’s core principles address many of online consumers’ privacy concerns. However, two factors not directly incorporated in the five principles, the relationships between entities and online users and the exchange of information for appropriate compensation, may influence consumers’ privacy concerns.