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We used social network analysis to examine a theoretical model exploring why, and under what circumstances, the perpetrators' ostracizing behaviors are accurately perceived by the target employees. In turn, these perceptions of ostracism lead to the target employees' counterproductive work behaviors. Adopting perspectives from both perpetrators and targets, we directly measured the ostracizing behaviors by all potential perpetrators (coworkers) and perceived workplace ostracism by target employees. We integrate Social information processing theory and conservation of resource theory to propose a moderated mediation model, and found that employees who have a high level of need to belong are more likely to capture coworkers' ostracizing behaviors, and those with low political skill are more likely to engage in counter-productive work behavior as their reaction to perceived workplace ostracism. Theoretical and practical implications are discussed.

\"Shoshana Zuboff, named \"the true prophet of the information age\" by the Financial Times, has always been ahead of her time. Her seminal book In the Age of the Smart Machine foresaw the consequences of a then-unfolding era of computer technology. Now, three decades later she asks why the once-celebrated miracle of digital is turning into a nightmare. Zuboff tackles the social, political, business, personal, and technological meaning of \"surveillance capitalism\" as an unprecedented new market form. It is not simply about tracking us and selling ads, it is the business model for an ominous new marketplace that aims at nothing less than predicting and modifying our everyday behavior--where we go, what we do, what we say, how we feel, who we're with. The consequences of surveillance capitalism for us as individuals and as a society vividly come to life in The Age of Surveillance Capitalism's pathbreaking analysis of power. The threat has shifted from a totalitarian \"big brother\" state to a universal global architecture of automatic sensors and smart capabilities: A \"big other\" that imposes a fundamentally new form of power and unprecedented concentrations of knowledge in private companies--free from democratic oversight and control\"-- Provided by publisher.

Purpose Employees’ knowledge management, which influences creativity, is a pivotal resource in organizational innovation activities, as it helps activate the knowledge resource pool and improves knowledge flow. Using social information processing theory, this study aims to construct a cross-level model to examine how knowledge hiding plays a role in the relationship between leader–member exchange differentiation (LMXD) and employee creativity. Design/methodology/approach This study surveyed 754 leader–employee matching samples from 127 teams in China innovation enterprises at two time points. Confirmatory factor analysis, convergent analysis, hierarchical regression analysis and bootstrapping method by SPSS and AMOS were used to test the hypotheses. Findings The empirical results demonstrate the cross-level model’s efficiency and reveal the following findings: Team-level LMXD is negatively related to employee creativity, whereas it is positively related to knowledge hiding; knowledge hiding is negatively associated with employee creativity; thus, knowledge hiding plays a mediating role in the relationships between them. Originality/value Based on the knowledge-hiding perspective, this study analyzed an underlying mechanism between LMXD and employee creativity, thereby further enriching the literature on the influence of knowledge management. This proposed connection has not been established previously. Moreover, the findings respond to the reasons for the inconsistent conclusions of previous literature on the cross-level relationship between LMXD and employee creativity based on the social information processing theory. It thus clarifies the cross-level influence path, as well as provides a theoretical basis for further research on the relationship between the two.

The internet has become a major mean for acquiring health information; however, Web-based health information is of mixed quality and may markedly affect patients' health-related behavior and decisions. According to the social information processing theory, patients' trust in their physicians may potentially change due to patients' health-information-seeking behavior. Therefore, it is important to identify the relationship between internet health information and patient compliance from the perspective of trust. The objective of our study was to investigate the effects of the quality and source of internet health information on patient compliance using an empirical study based on the social information processing theory and social exchange theory. A Web-based survey involving 336 valid participants was conducted in China. The study included independent variables (internet health information quality and source of information), 2 mediators (cognition-based trust [CBT] and affect-based trust [ABT]), 1 dependent variable (patient compliance), and 3 control variables (gender, age, and job). All variables were measured using multiple-item scales from previously validated instruments, and confirmative factor analysis as well as structural equation modeling was used to test hypotheses. The questionnaire response rate was 77.16% (375/486), validity rate was 89.6% (336/375), and reliability and validity were acceptable. We found that the quality and source of internet health information affect patient compliance through the mediation of CBT and ABT. In addition, internet health information quality has a stronger influence on patient compliance than the source of information. However, CBT does not have any direct effect on patient compliance, but it directly affects ABT and then indirectly impacts patient compliance. Therefore, the effect of ABT seems stronger than that of CBT. We found an unexpected, nonsignificant relationship between the source of internet health information and ABT. From patients' perspective, internet health information quality plays a stronger role than its source in impacting their trust in physicians and the consequent compliance with physicians. Therefore, patient compliance can be improved by strengthening the management of internet health information quality. The study findings also suggest that physicians should focus on obtaining health information from health websites, thereby expanding their understanding of patients' Web-based health-information-seeking preferences, and enriching their knowledge structure to show their specialization and reliability in the communication with patients. In addition, the mutual demonstration of care and respect in the communication between physicians and patients is important in promoting patients' ABT in their physicians.

This study’s aim was to examine whether there are negative increasing cycles of peer victimization and rejection sensitivity over time. Drawing from Social Information Processing Theory, we hypothesized that victimization leads to higher levels of rejection sensitivity, which would put adolescents at risk for higher future victimization. Data were collected in a four-wave study with 233 Dutch adolescents starting secondary education ( M age = 12.7 years), and a three-wave study with 711 Australian adolescents in the last years of primary school ( M age = 10.8 years). Random-intercept cross-lagged panel models were used to disentangle between-person from within-person effects. In each sample, a significant between-person association was found: adolescents with higher levels of victimization as compared to their peers also reported higher levels of rejection sensitivity. At the within-person level, all concurrent associations between individual fluctuations of victimization and rejection sensitivity were significant, but there were no significant cross-lagged effects (except in some sensitivity analyses). These findings demonstrate that victimization and rejection sensitivity are interrelated, but there may not be negative victimization-rejection sensitivity cycles during the early-middle adolescent years. Possibly, cycles establish earlier in life or results are due to shared underlying factors. Further research is needed examining different time lags between assessments, age groups, and contexts.

This open access book contributes to the creation of a cyber ecosystem supported by blockchain technology in which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of permanent data can be stored on the Internet in a decentralized manner. The decentralization of the recording process is expected to significantly economize the cost of transactions. Creating a ledger on data, a blockchain makes it possible to designate the owner of each piece of data, to trade data pieces, and to market them. This book examines the formation of markets for various types of data from the theory of market quality proposed and developed by M. Yano. Blockchains are expected to give data itself the status of a new production factor. Bringing ownership of data to the hands of data producers, blockchains can reduce the possibility of information leakage, enhance the sharing and use of IoT data, and prevent data monopoly and misuse. The industry will have a bright future as soon as better technology is developed and when a healthy infrastructure is created to support the blockchain market.

This study examined the effect of social cues and interactivity in social media on journalists’ credibility based on literature of journalists’ credibility, social information processing theory (SIPT), and social presence theory. Results from a mixed-design experiment showed participants rated highly interactive journalists to be more credible than those who are less interactive in social media. Findings are discussed in terms of theoretical implications for journalists’ credibility in social media and practical applications for journalists seeking to utilize social media to engage with their audiences.