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Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers.

Tracing the relationship between pathological personality traits and insider cyber sabotage.

Malicious insider attacks affect all sectors, economies, and organizations of the world, with insider cyber-sabotage causing significant damage. Key findings from previous research on malicious insider threats underscore a need for prevention and detection programs that are broadly based. Current risk management administrative and technical mitigation techniques often include indicators of potential malicious insiders in the form of personal factors and observable behaviors. However, these need empirical validation in the context of cyber-sabotage. This article builds on previous research on insider threats and investigates the relationship between motives, behavioral indicators, and insider cyber-sabotage. We examine 74 actual cases of convicted insider threat attacks using a logistic regression model. The results confirm hypotheses that revenge (one of the motives), addiction (one of the observable behavioral indicators), and poor work performance increase the likelihood of insider sabotage. The findings provide empirical validation of cyber-sabotage specific indicators for insider threat programs. Implications and future research are discussed.

Contest-based intermediary crowdsourcing represents a powerful new business model for generating ideas or solutions by engaging the crowd through an online competition. Prior research has examined motivating factors such as increased monetary reward or demotivating factors such as project requirement ambiguity. However, problematic issues related to crowd contest fitness have received little attention, particularly with regard to crowd strategic decision-making and contest outcomes that are critical for success of crowdsourcing platforms as well as implementation of crowdsourcing models in organizations. Using Expectation-Confirmation Theory (ECT), we take a different approach that focuses on contest level outcomes by developing a model to explain contest duration and performance. We postulate these contest outcomes are a function of managing crowdsourcing participant contest-fitness expectations and disconfirmation, particularly during the bidding process. Our empirical results show that contest fitness expectations and disconfirmation have an overall positive effect on contest performance. This study contributes to theory by demonstrating the adaptability of ECT literature to the online crowdsourcing domain at the level of the project contest. For practice, important insights regarding strategic decision making and understanding how crowd contest-fitness are observed for enhancing outcomes related to platform viability and successful organizational implementation.

Recognizing the global need for cybersecurity professionals and shedding light on the employers' preference of skills give educators the opportunity to improve their process to prepare future generations for the workforce. The goal of this paper is to acquire a collection of skills employers value when hiring for a new cybersecurity position. Our research plan is split into three phases. First, we will develop an initial list of cybersecurity skills by using a systematic literature review to assess what past research has found. Next, we will validate the importance of these skills through a ratings-based survey of employers. Finally, we will refine and prioritize the validated skills using two preference capturing studies - rank order survey and conjoint analysis. Discussion and implications for future research and academic departments in cybersecurity are provided.

A key challenge resulting from the rapid growth of the information technology (IT) industry is finding enough qualified workers to fill available positions. In this paper, Holland’s Theory of Occupational Themes, Social Cognitive Career Theory, and Career Construction Theory are used to investigate how job-related beliefs, career planning perceptions, and occupational congruence work together to influence students’ career decisions, major satisfaction, and academic performance. Using 210 student responses, we empirically test a theoretically derived research model. Our findings suggest that job security is a strong predictor of both IT career optimism and career planning ability. In addition, career optimism and career planning ability are important antecedents of students’ IT career commitment, which significantly influences satisfaction with academic major. A modest portion of academic performance was explained by the model. Most notably, occupational congruence was found to be a poor predictor ...

Anglo and Hispanic ethnic groups perceive biometric privacy issues differently.Use of biometric systems may alleviate some, but not all, types of privacy concerns.Anglo and Hispanic ethnic groups reacted differently after exposure to system.Biometric data vulnerability concerns of Anglos were lower than Hispanics after use.Hispanics had higher accountability concerns related to biometrics prior to use. Biometric technology is rapidly gaining popularity as an access control mechanism in the workplace. In some instances, systems relying on biometric technology for access control have not been well received by employees. One potential reason for resistance may be perceived privacy issues associated with organizational collection and use of biometric data. This research draws on previous organizational information handling and procedural fairness literature to frame and examine these underlying privacy issues. Perceived accountability, perceived vulnerability, and distrust were distilled from the previous literature as the primary dimensions of employee privacy concerns related to biometric technology. This study assesses the effects of these privacy concerns, how they vary based on the cultural influences of Anglos and Hispanics.Fire ground accountability is a critical management objective in the firefighting domain. In multi-unit or multi-agency crisis response scenarios, the on-scene incident commander tracks and accounts for each first responder. This research designed and deployed a new fire ground accountability system that tracked firefighters through finger pattern-based biometric logins to their assigned positions on the firefighting apparatus. An instrument measuring level of privacy concern on three underlying dimensions and demographic data was developed, validated and administered in a quasi-experimental field study. A pre-test-post-test survey methodology was employed to detect potential differences in privacy concerns as familiarity with the system increased. The study shows that Anglo and Hispanic subjects frame privacy issues differently associated with use of biometric technology in a fire ground accountability system. Finally, the study showed that some privacy concerns such as distrust and perceived vulnerability can be alleviated through system use with changes in post-use privacy concerns moderated by ethnic affiliation.

“Insiders” remain a significant threat to organizations—evidenced by recent cases involving Robert Hansen, Bradley Manning, and Edward Snowden—even in light of significant movement toward neutralizing the threat through detection and prevention. Insiders pose detection challenges for security professionals because they often have legitimate access and intimate organizational knowledge. Nonetheless, past insider threat detection research has predominantly focused on signature-based detection of digital indicators of insider activity and behavioral profiling. This article develops a novel relationship between addiction theory and the insider threat from an information systems perspective. This discussion introduces seven propositions concerning this relationship, addiction antecedents, and the factors moderating the relationship between addiction and the insider threat. This model has significant implications for the insider threat detection challenge, as it provides new signals that may be useful for detec...

Efforts to understand what goes on in the mind of an insider have taken a back seat to developing technical controls, yet insider threat incidents persist. We examine insider threat incidents with malicious intent and propose an explanation through a relationship between Dark Triad personality traits and the insider threat. Although Dark Triad personality traits have emerged in insider threat cases and deviant workplace behavior studies, they have not been labeled as such and little empirical research has examined this phenomenon. This paper builds on previous research on insider threat and introduces ten propositions concerning the relationship between Dark Triad personality traits and insider threat behavior. We include behavioral antecedents based on the Theory of Planned Behavior and Capability Means Opportunity (CMO) model and the factors affecting those antecedents. This research addresses the behavioral aspect of the insider threat and provides new information in support of academics and practitioners.