Search results

Expressing views on organizational information security (IS) by employees is vital for improving security processes, policies and trainings, while non-communication may conceal the true state of the human factor of IS and lead to security breaches. The purpose of this paper is to introduce the concept of opinion expressing about organizational IS, provide an explanatory model based on the theory of spiral of silence and offer its empirical validation.

Data from a web-based survey among the employees of one the universities in the European Union (n = 504) was analyzed with regression analysis to investigate the proposed hypotheses.

The study reveals that employees with positive opinions about IS will be more willing to share their opinions with coworkers and management. However, when employees perceive that their pro-IS opinions are not shared by other coworkers, they will remain silent, which increases the risk of problematic opinions spreading throughout the organization.

The study highlights the need to focus on the communication perspectives of organizational information security, an area often overlooked in the human factor of information security research.

The results highlight the need to examine the gap between the dominant climate of opinion about IS in the organization and the display of compliant IS behaviors in order to strengthen IS endeavors. Organizations are encouraged to facilitate open dialogue about IS processes, policies and training and implement mechanisms for considering employees’ feedback in order to improve the organization’s IS.

The study contributes to a growing body of research that moves beyond viewing employees merely as subjects of compliance, recognizing instead their agency in IS issues that can enhance organizational resilience. To the best of the authors’ knowledge, this is the first study to apply the spiral of silence theory in the IS field, thereby helping to overcome the lack of communication science perspectives in organizational IS research.

Market evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There exist a lot of weak expert-generated texts on the Internet of their own subjective evaluations of products. Analyzing these texts can indirectly extract the opinions of weak experts and transform them into decision-support information that assists product designers in understanding the market.

In social networks, a subset of users, termed “weak experts”, possess specialized knowledge and frequently share their product experiences online. This study introduces a comparative opinion mining framework that leverages the insights of “weak experts” to analyze user opinions.

An automotive product case study demonstrates that evaluations based on weak expert insights offer managerial insights with a 99.4% improvement in timeliness over traditional expert analyses. Furthermore, in the few-shot sentiment analysis module, with only 10% of the sample, the precision loss is just 1.59%. In addition, the quantitative module of specialization weighting balances low-specialization expert opinions and boosts the weight of high-specialization weak expert views. This new framework offers a valuable tool for companies in product innovation and market strategy development.

This study introduces a novel approach to opinion mining by focusing on the underutilized insights of weak experts. It combines few-shot sentiment analysis with specialization weighting and AHP, offering a comprehensive and efficient tool for product evaluation and market analysis.

Social network group decision-making (SNGDM) has rapidly developed because of the impact of social relationships on decision-making behavior. However, not only do social relationships affect decision-making behavior, but decision-making behavior also affects social relationships. Such complicated interactions are rarely considered in current research. To bridge this gap, this study proposes an SNGDM model that considers the interaction between social trust relationships and opinion evolution.

First, the trust propagation and aggregation operators are improved to obtain a complete social trust relationship among decision-makers (DMs). Second, the evolution of preference information under the influence of trust relationships is measured, and the development of trust relationships during consensus interactions is predicted. Finally, the iteration of consensus interactions is simulated using an opinion dynamics model. A case study is used to verify the feasibility of the proposed model.

The proposed model can predict consensus achievement based on a group’s initial trust relationship and preference information and effectively captures the dynamic characteristics of opinion evolution in social networks.

This study proposes an SNGDM model that considers the interaction of trust and opinion. The proposed model improves trust propagation and aggregation operators, determines improved preference information based on the existing trust relationships and predicts the evolution of trust relationships in the consensus process. The dynamic interaction between the two accelerates DMs to reach a consensus.

This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.

This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.

This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.

The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.

This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269

This paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.

The authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.

The findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.

The paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.

This study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.

This paper aims to determine whether audit opinions in Morocco, an emerging market, are value relevant to the stock market, through the investigation of the market reaction to the issuance of modified audit opinions (MAOs).

The event study approach is used. The data are derived from the financial reports of listed companies on the Casablanca Stock Exchange over a period of 10 years from 2010 to 2019.

This paper does not find evidence that the market reacts to the issuance of MAOs when grouped together. When partitioning the sample by types, there is an evidence of a stock market reaction to qualified audit opinions and the qualified audit opinions with observation paragraph when they are combined with a negative variation of earnings per share. Examination of the impact of different natures of qualifications shows no consistent results and that the market does not distinguish between natures of qualifications.

These results may be due to the fact that some investors have information about the audit opinion long before it is made public, due to privileged access to audit opinions, or that investors underestimate audit opinions relative to other financial indicators.

This study contributes to the existing literature by investigating an emerging market, not previously tested, after the introduction of several regulatory reforms in Moroccan market aimed at enhancing transparency in financial reporting. It refines the market reaction models used in previous studies by using both ordinary least squares and the Scholes–Williams techniques that correct for the effect of thin trading on the market index. In addition, special attention is given to studying the market reaction to each type of MAOs and to each natures of qualifications.

The outbreak of COVID-19 has become a major public health emergency worldwide. How to effectively guide public opinion and implement precise prevention and control is a hot topic in current research. Mining the spatiotemporal coupling between online public opinion and offline epidemics can provide decision support for the precise management and control of future emergencies.

This study focuses on analyzing the spatiotemporal coupling relationship between public opinion and the epidemic. First, based on Weibo information and confirmed case information, a field framework is constructed using field theory. Second, SnowNLP is used for sentiment mining and LDA is utilized for topic extraction to analyze the topic evolution and the sentiment evolution of public opinion in each coupling stage. Finally, the spatial model is used to explore the coupling relationship between public opinion and the epidemic in space.

The findings show that there is a certain coupling between online public opinion sentiment and offline epidemics, with a significant coupling relationship in the time dimension, while there is no remarkable coupling relationship in space. In addition, the core topics of public concern are different at different coupling stages.

This study deeply explores the spatiotemporal coupling relationship between online public opinion and offline epidemics, adding a new research perspective to related research. The result can help the government and relevant departments understand the dynamic development of epidemic events and achieve precise control while mastering the dynamics of online public opinion.

Our study aims to focus on the application of knowledge mapping to provide pedagogically-structured learners' competences.

We conducted an experiment examined the associations between the pedagogical quality of students’ pedagogically-informed knowledge (PIK) maps, class assignment scores and perceptions of PIK mapping’s uses.

The results showed that higher assignment scores were significantly predicted by higher quality PIK maps, ratings for PIK mapping were significantly higher than other mappings, and the learners’ experience of PIK mapping led to a significant change of attitude towards mapping as a learning activity and to a positive opinion of the value of PIK mapping in particular. Interestingly, there was no significant relation between learners’ opinion ratings of the uses of PIK mapping in learning and their assignment scores.

Questions remain on the generalizability of the findings, and on the features of a PIK map which are particularly useful to a learner. This study investigated the value of PIK mapping in the context of a practical class on the building of simple DIY (do-it-yourself) holographic projectors; it may be thought that the applied nature of the topic was more suited to the PIK mapping of learner competences and intended learning outcomes than a more theoretic classroom topic on holography. A future study is planned to address this issue.

Audit consortium of joint and dual audits is one of the most controversial mechanisms aimed at improving audit quality and resolving several related debatable issues. This study aims to empirically investigate the impact of audit consortium on audit quality assessment in Egypt. It specifically examines whether audit opinion modification level is triggered by joint and dual audits existence and whether it is influenced by the relative importance of the auditor pair combination types.

A sample of companies listed on the Egyptian Stock Exchange constituting the EGX 30 index is examined over a period of five years, from 2016 to 2020. A quantitative research methodology is used, using content analysis of companies’ audit reports and carrying out longitudinal panel ordinary least squares multiple regression tests.

Results show that audit quality is significantly enhanced by conducting joint and dual audits of Egyptian companies’ financial statements. Findings indicate that both joint and dual audits significantly increase auditors’ propensity to modify audit opinions as compared to companies that engage in single audits. However, this increase in audit quality is not supported by the presence of Big 4 joint auditors or affiliated joint auditors, while the impact of Big 4 dual auditors cannot be confirmed. Nevertheless, such a potential increase in audit opinion modification is boosted by the presence of affiliated dual auditors, which appears to translate into higher quality.

The study has important implications for researchers, corporates, those charged with governance, financial statement users, auditors, regulators and standard setters, who might be interested in whether an audit consortium and a particular auditor pair combination are associated with superior audit quality. It provides empirical evidence that might contribute to the continuous challenge of promoting the quality and effectiveness of the external audit.

This study adds to the relatively limited and challenging literature on the potential contribution of audit consortium, using audit opinion modification level as a direct assessment of audit quality. It extends the scope of prior research by examining the existence of joint and dual audits and the relative importance of joint and dual auditor pair combination types. The study provides key insights from a distinctive and complex emerging audit market.