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Existing research demonstrates that consumers prefer advertising that aligns with their values and beliefs but can also be distrustful of claims of corporate social responsibility. The purpose of this paper is to explore consumers’ perceptions of femvertising in relation to their worldview. Femvertising is defined as “advertising that employs pro-female talent, messages, and imagery to empower women and girls” (Skey, 2015).

A survey of US adults (n = 419) was used to investigate attitudes toward femvertising as they relate to gender, age, support for women’s rights, feminist self-identification, political affiliation and trust in advertising.

Structural equation modeling revealed several antecedents and consequences of attitude toward femvertising. The findings suggest that women’s rights supporters and self-identifying feminists seem highly receptive of femvertising.

Taken together, the findings clarify how femvertising can be an effective strategy for marketers and how it fits within the current advertising literature.

The purpose of the current research is to present an explanatory framework for how people selectively attend to privacy-related news information about LBA depending on the extent to which they know about LBA already as well as their appraisals of privacy threats and efficacy.

The proposed model was tested using structural equation modeling based on a total of 522 useable responses obtained from an online survey.

The results revealed two different approaches to information exposure: (1) people choose to seek out privacy-related news articles when their persuasion knowledge and perceived threat level are high, whereas (2) they tend to avoid such information when perceived threats accompany fear as well as psychological discomfort, or when they believe that they are knowledgeable about LBA practices and highly capable of protecting their privacy.

With the development of real-time location-tracking technologies, the practice of LBA is becoming increasingly popular. As such, however, concerns about data collection and privacy are also on the rise, garnering a great deal of media attention. Despite the importance and constant stream of news reports on the subject, a comprehensive understanding of consumers' privacy assessments and information consumption remains underexamined. By incorporating the persuasion knowledge model and extended parallel process model, the current research presents an explanatory framework for consumers' privacy perceptions and information choice.

The purpose of this paper is to examine how information load, consumers’ regulatory focus, and prior attitudes interact to influence consumers’ response to firm crisis in the context of online discussion forum. By doing this, this study presents the solving strategy for unintended criticism in online space.

Based on selective exposure and regulatory focus theory, the author proposes that consumers’ regulatory focus and prior attitudes toward a focal firm influence the relationship between information load and selective exposure phenomenon. The data for this study are obtained from an experimental research design. Data were collected from 165 college students who have an experience with an online discussion forum.

The author finds that selective exposure is likely to occur when information load is high (vs low). More importantly, this selective exposure is influenced by regulatory focus. Prevention-focussed consumers with favorable (vs unfavorable) prior attitudes toward the target firm tend to evaluate it less favorably, whereas promotion-focussed consumers with unfavorable (vs favorable) prior attitudes are likely to evaluate it more favorably when information load is high.

Evidence is found that consumers’ regulatory focus moderates the effect of information quantity on confirmatory information search, and induces different response strategies to firm crisis information.

The purpose of this paper is to investigate how non‐finance departmental involvement in the management of exchange rate risks impacts the extent of foreign exchange speculation in non‐financial firms.

Non‐financial firms in a small open economy (Denmark) are surveyed to investigate the extent of foreign exchange speculation and how it is related to the degree of nonfinance departmental involvement in the management of exchange rate risks. The authors employ binary and ordered probit regression analysis.

A positive link is found between the extent to which departments other than the finance department are involved in the management of exchange rate risks; and second, the extent to which the firm is likely to speculate – whether in the form of selective hedging or active speculation – on the foreign exchange market.

The findings indicate that the trend towards a more integrated risk management approach in which the finance department is not the only department responsible for risk management may have the (unforeseen) consequence that foreign exchange speculation increases.

The paper's findings are important because the link between the extent of foreign exchange speculation and a more integrated risk management approach has not been addressed previously.

The purpose of this study is to examine, in the context of online news use, the predictive values of two factors: perceived bias in traditional media and preference for partisan news.

This study used data collected as part of the Pew Internet and American Life Project between December 28, 2009, and January 19, 2010. The data were analyzed using linear regression analysis.

The findings provide evidence of the values of two potentially significant predictors of online news use: a perception of bias in traditional media and preference for partisan news. In addition, higher levels of political partisanship were shown to intensify the positive effect of perceived bias in traditional media on online news use in new media outlets, reinforcing the impact of preference for partisan news on participatory online news use.

Depending on individual decisions, the internet can either help to empower deliberative democracy (where diverse and different voices coexist) or lead to an extremely polarized society.

With the explosive growth of the internet as a news source, media scholars have explored the factors that encourage people to rely on the internet for news and information. Nevertheless, certain attributes of online news consumption originating from individual attitudes about and perceptions of the media environment remain underspecified. This research helps advance an understanding of the types of people who seek news online and how they use various sources.

The purpose of this paper is to explore the role of four cognitive biases, namely, selective perception, exposure to limited alternatives, adjustment and anchoring, and illusion of control in anticipating and responding to Distributed-Denial-of-Service (DDoS) attacks.

The paper is based on exploratory case study research and secondary data on decision making in the Australian Bureau of Statistics (ABS) in regards to planning and managing DDoS attacks on Census day in 2016.

Cognitive biases limited the ABS’s awareness of the eCensus system’s vulnerabilities, preparation for and management of DDoS attacks. Cyberattacks are on the increase, and managers should expect and be prepared to deal with them.

Due to the sensitivity of the topic, it was not possible to interview relevant stakeholders. Analysis is based on high-quality secondary data that includes comprehensive government reports investigating the events on Census day.

Cyberattacks are inevitable and not an aberration. A checklist of actions is identified to help organisations avoid the failures revealed in the case study. Managers need to increase their awareness of cyberattacks, develop clear processes for dealing with them and increase the robustness of their decision-making processes relating to cybersecurity.

This the authors believe that it is the first major study of the DDoS attacks on the Australian census. DDoS is a security reality of the twenty-first century and this case study illustrates the significance of cognitive biases and their impact on developing effective decisions and conducting regular risk assessments in managing cyberattacks.

Are you certain that your judgements are unbiased and your decision‐making as unclouded as it should be? If not it may be due to a comparatively unknown phenomenon called cognitive dissonance which may have lessened your ability to manage.

Social media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.

Data were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.

The results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.

This study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.

The purpose of this paper is to provide a network analysis of Twitter discussions about Myung-Bak Lee, a former president of South Korea, to gain a better understanding of the dynamics of the public opinion exchange on Twitter.

Opinion leaders in the discussion network were identified by considering the longitudinal distribution of tweets containing the former president’s name, and three types of messages (“followings,” “mentions,” and “retweets”) were analyzed using data collected from November 1, 2011, to April 20, 2012. The sample included 26,150 Twitter users and 892,034 relationships reflecting three types of messages.

The results indicate that the discussion about President Myung-Bak Lee was dominated by liberal Twitter users who already had considerable influence both online and offline. In addition, Twitter users were unlikely to interact with other users with opposing political views.

Almost all of the opinion leaders identified in the study held liberal political views, and liberal Twitter users dominated the discussion network. In addition, the Korean Twitter network showed the presence of the homophily phenomenon, implying that opinion leaders’ influence within the Twitter network was limited to other users sharing the same political views. Further, political views of opinion leaders were skewed toward a particular political stance without necessarily representing the opinion of the general public, possibly hindering the democratic process.

This study tests the homophily thesis in the context of Twitter users in Korea and contributes to the literature on Twitter-based political discourse by identifying opinion leaders in Korean Twitter networks and examining the phenomenon of homophily within those networks.

In the context of increasing interdisciplinarity in academia and professional practice, the purpose of this paper is to focus on the contribution of information science (IS) to education and practice in social work (SW), specifically in the area of disabilities at the workplace. As a case in point, a work environment of academia and faculty members with disabilities and their managers are chosen. The paper also stands to improve interdisciplinary understanding between IS and SW.

Combining SW and IS perspectives and building off selective exposure, cognitive dissonance and uncertainty management theories, the paper looks at one of the root-causes of continuous workplace discrimination against and bullying of people with disabilities – information avoidance (IA).

The paper conceptualises discrimination and bullying as an inherently information problem, for which an SW solution could be proposed. Two types of information are noted to be avoided: information about disabilities and information about the effect of discrimination and bullying on employees with disabilities. The paper distinguishes between defensive and deliberate IA, each of which poses different challenges for social workers who are likely to intervene in the cases of bullying and discrimination in their capacity as workplace counsellors and advisors.

It is the first known paper that explores the intellectual and practice-based synergy between SW and IS in application to change-related interventions and preventative plans that counteract discrimination against people with disabilities at the workplace. It proposes creative solutions for intervention, including bibliotherapy. It also opens up a broader conversation on how critical the knowledge of IS is for social workers.