Word-of-Mouth Engagement in Online Social Networks: Influence of Network Centrality and Density

Anastasiei, Bogdan; Dospinescu, Nicoleta; Dospinescu, Octavian

doi:10.3390/electronics12132857

Cited by 35 publications

(34 citation statements)

References 76 publications

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“…Although our results may be effective under certain conditions, they were derived from only one case of predicting skilled nurses. There are a lot of issues in management science contexts to solve: social networks [41] and multiple source data fusion for management decision-making systems in the data transformation era [42]. Therefore, our results should be applied with caution.…”

Section: Discussionmentioning

confidence: 89%

Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Watanuki,

Nomura,

Kiyota

et al. 2023

Applied Sciences

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Although a multimodal data analysis, comprising physiological and questionnaire survey data, provides better insights into addressing management science concerns, such as challenging the predictions of consumer choice behavior, studies in this field are scarce because of two obstacles: limited sample size and information privacy. This study addresses these challenges by synthesizing multimodal data using deep generative models. We obtained multimodal data by conducting an electroencephalography (EEG) experiment and a questionnaire survey on the prediction of skilled nurses. Subsequently, we validated the effectiveness of the synthesized data compared with real data regarding the similarities between these data and the predictive performance. We confirmed that the synthesized big data were almost equal to the real data using the trained models through sufficient epochs. Conclusively, we demonstrated that synthesizing data using deep generative models might overcome two significant concerns regarding multimodal data utilization, including physiological data. Our approach can contribute to the prevailing combined big data from different modalities, such as physiological and questionnaire survey data, when solving management issues.

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Section: Discussionmentioning

confidence: 89%

Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Watanuki,

Nomura,

Kiyota

et al. 2023

Applied Sciences

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“…This collaboration facilitates open and transparent communication, allowing employees to share their ideas, thoughts, and creative insights easily. Indeed, utilizing online social networks, including electronic word of mouth (eWOM), has been demonstrated to possess significant potential in influencing and modifying individuals' behaviors [56]. Therefore, by harnessing digital platforms, online social networks, and tools, digital leaders can promote brainstorming, idea sharing, and collaborative problem-solving, thus fostering a culture of innovation and creativity within the organization [20].…”

Section: Effects Of Digital Leadership On Individual Creativitymentioning

confidence: 99%

Digital Leadership’s Influence on Individual Creativity and Employee Performance: A View through the Generational Lens

Öngel,

Günsel,

Gençer Çelik

et al. 2023

Behavioral Sciences

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Today’s digitalized business atmosphere places significant emphasis on digital leadership, as digital transformation can only be successful for leaders who are capable of overseeing the entire digitalization process. In this study, we examine the employee-level outputs of digital leadership in terms of individual creativity and employee performance. Based on the data of 348 employees and by using PLS-SEM, we find that (i) digital leadership is a significant antecedent of individual creativity, and (ii) individual creativity fully mediates the relationship between digital leadership and employee performance. When digital leadership abilities are a matter of concern, it becomes necessary to mention the importance of generational differences between those leaders, as OB studies also underline the generational differences toward new technologies. Hence, we also conducted a multigroup analysis (MGA) to determine if those interrelationships among digital leadership, individual creativity, and employee performance differ due to the generations of the managers. Surprisingly, the MGA results reveal minor differences. The findings of this study highlight the importance of embracing digital leadership in fostering a creative and high-performing work environment and provide insights for organizations aiming to harness the unique strengths and talents of their multigenerational workforce. Digital leaders who foster a culture of innovation, adaptability, and open communication can inspire employees to think creatively and come up with novel ideas. By leveraging digital tools and providing a supportive environment, digital leaders can also enhance employee creativity and performance.

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“…According to Anastasiei et al (2023), network centrality and density have a significant impact on the likelihood of participating in electronic word-of-mouth (eWOM) in online social networks. The authors found that individuals with higher network centrality and density were more likely to engage in both positive and negative eWOM.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Culture, Knowledge, and Commitment to Digital Transformation and Its Impact on the Competitiveness of Portuguese Organizations

Cardoso,

Pereira,

Sá

et al. 2023

Administrative Sciences

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This study aimed to understand the impact of digital culture on companies’ knowledge and constant commitment to digital transformation, as well as its impact on organizations as a whole. Secondly, it aimed to explore the impact of digital technology adoption on organizational performance and competitiveness. Finally, the study investigated the role of knowledge management during digital transformation. A quantitative study was developed using a descriptive design. A questionnaire was developed on pre-test was carried out withon 15 participants and since no doubts or difficulties were detected, it was made available on the internet between January and April 2022. A total of 291 questionnaires were collected and validated. Data were imported from Google Forms for analysis in SPSS, version 25.0, andSmartPLS® 4.0 software. The questionnaire revealed good internal consistency (α = 0.922). Ten of the twelve hypotheses were confirmed, that is, the existence of positive and significant relationships between digital culture (DC) and knowledge of digital transformation (KDT); DC and adoption of digital technologies (ADT); DC and knowledge management (KM); commitment (C) and KDT; C and productivity (P); KDT and ADT; ADT and KM; ADT and P; ADT and C; and P and C. The results of regression analyses showed that the variables that contributed to the model (“competitiveness of organizations”) were productivity, the adoption of digital technologies, commitment to digital technologies, and knowledge management. The variables CD and KDT (Knowledge of digital transformation) presented lower and non-significant values.

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Word-of-Mouth Engagement in Online Social Networks: Influence of Network Centrality and Density

Cited by 35 publications

References 76 publications

Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Applying a Method for Augmenting Data Mixed from Two Different Sources Using Deep Generative Neural Networks to Management Science

Digital Leadership’s Influence on Individual Creativity and Employee Performance: A View through the Generational Lens

Digital Culture, Knowledge, and Commitment to Digital Transformation and Its Impact on the Competitiveness of Portuguese Organizations

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