A model for evaluating the paradoxical impacts of organizational members’ social use of SNSs on destructive voice

Tabarsa, Gholam Ali; Olfat, Mohammad; Shokouhyar, Sajjad

doi:10.1108/jibr-05-2018-0156

Cited by 12 publications

(25 citation statements)

References 62 publications

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“…Previous research has shown that factors such as occupational stress have a negative effect on job satisfaction (Steinhardt et al , 2003), and the factors such as freedom to act in one’s job, the richness and motivation for the job, independence in the job, timely feedback, and other features associated with the nature of the job positively influence the job satisfaction (Christen et al , 2006). Job satisfaction has a positive and significant effect on other variables such as job performance (Moqbel et al , 2013), organizational citizenship behaviors (Ilies et al , 2009; Schappe, 1998), organizational commitment (Tabarsa et al , 2018), and constructive voice behavior (Tabarsa et al , 2019).…”

Section: Literature Review and Research Backgroundmentioning

confidence: 99%

Disclosing the bright side of SNs in the workplace

Olfat

Tabarsa

Ahmadi

et al. 2019

JEIM

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Purpose The purpose of this paper is twofold: first, to document that employees’ use of social networks (SNs) does not necessarily bring negative consequences and can indirectly benefit organizations and second, to compare the roles of public SNs and enterprise social networks (ESNs) in bringing benefits to organizations. Consequently, this study, on the basis of stimulus‒organism‒response theory, directly investigated and compared the roles of public SNs and ESNs in promoting employees’ organizational commitment from affective, normative, and continuance dimensions with regard to the mediating role of job satisfaction. Design/methodology/approach For this purpose, 240 employees of Asia-Tech Company, one of the high-speed internet service providers in Iran, who had joined Skype for Business ESN, were included in this study. Partial least squares (PLS) method was used to examine the validity of the measurement and structural models. To this end, Warp-PLS software (version 5.0) was employed. Findings The results of the study suggested that public SNs have a positive impact on affective and normative commitment; however, no significant impact was observed for continuance commitment. ESNs directly affect none of the dimensions of organizational commitment. Although both types of SNs have impacts on job satisfaction, the greater impact was found for the public SNs. Job satisfaction also has a positive effect on all three dimensions of organizational commitment. Originality/value To the best of authors’ knowledge, no study has directly investigated and compared the roles of ESNs and public SNs in promoting organizational commitment from affective, continuance and normative dimensions with regard to the mediating role of job satisfaction. The most important theoretical contribution of the present research was to document that the employees’ use of SNs does not necessarily entail the waste of resources and has various advantages, such as strengthening organizational commitment (in affective, normative and continuance dimensions) and job satisfaction. In fact, this study disclosed the bright side of SNs in the workplace.

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Section: Literature Review and Research Backgroundmentioning

confidence: 99%

Disclosing the bright side of SNs in the workplace

Olfat

Tabarsa

Ahmadi

et al. 2019

JEIM

Self Cite

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“…Following this line of research, Wu and Wu [33] investigated the impact of the increase in the number of students willing to become entrepreneurs and to create a startup on the Chinese society. The authors highlighted the importance of the technology component of these new entrepreneurial projects (See Tabarsa et al [34]).…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying Startups Business Opportunities from UGC on Twitter Chatting: An Exploratory Analysis

Saura

Reyes-Menéndez

Matos

et al. 2021

JTAER

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The startup business ecosystem in India has experienced exponential growth. The amount of investment in Indian startups in the last decade demonstrates the strong interest of the technology industry to these business models based on innovation. In this context, the present study aims to identify investment opportunities for investors in Indian startups by identifying key indicators that characterize the startup ecosystem in India. To this end, a three steps data mining method is developed using data mining techniques. First, a sentiment analysis (SA), a machine learning approach that classifies the topics into groups expressing feelings, is applied to a dataset. Next, we develop a Latent Dirichlet Allocation (LDA) model, a topic-modeling technique that divides the sample of n = 14.531 tweets from Twitter into topics, using user-generated content (UGC) as data. Finally, in order to identify the characteristics of each topic we apply textual analysis (TA) to identify key indicators. The originality of the present study lies in the methodological process used for data analysis. Our results also contribute to the literature on startups. The results demonstrate that the Indian startup ecosystem is influenced by areas such as fintech, innovation, crowdfunding, hardware, funds, competition, artificial intelligence, augmented reality and electronic commerce. Of note, in view of the exploratory approach of the present study, the results and implications should be taken as descriptive, rather than determining for future investments in the Indian startup ecosystem.

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“…The goodness of fit (GOF) is an index showing the overall fit between the measurement and the structural models (Tabarsa et al, 2019). The value of GOF, which is calculated based on Equation (1), must be greater than 0.36 (Tabarsa et al, 2019).…”

Section: Model Fitmentioning

confidence: 99%

“…Second, although previous studies have referred to some of the positive implications and benefits of the non-work-related use of ESN (Aboelmaged, 2018;Luo et al, 2018), one cannot conclude that this type of use leads to maximizing the benefits of the ESN for the company. This is because earlier studies have rarely mentioned the probable detrimental consequences that the non-work-related use of ESN might bring about, including the emergence of interpersonal conflict (Moqbel and Kock, 2018), tension (Chen and Wei, 2019), destructive voice (Tabarsa et al, 2019) and staff turnover (Yingjie et al, 2019). Thus, we can argue that ESN brings the most benefits to the organizations when the employees use the technology for work or the way that the managers wish.…”

Section: Introductionmentioning

confidence: 96%

Organizational commitment and work-related implementation of enterprise social networks (ESNs): the mediating roles of employees' organizational concern and prosocial values

Olfat

Shokouhyar

Ahmadi

et al. 2020

OIR

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PurposeThis study, based on the cognitive dissonance and commitment theories, aims to show that employees with high organizational commitment take more advantage of enterprise social networks (ESNs) due to work-related motivations. Furthermore, this study used the tricomponent attitude model to show that the employees' organizational concern and prosocial values mediate the impact of the organizational commitment on the work-related use of an ESN.Design/methodology/approachIn all, 361 employees from seven Iranian companies using different ESN software packages were surveyed. The validity of the hypotheses was evaluated using partial least square–structural equation modeling (PLS-SEM).FindingsThe results of this study confirm that the employees' organizational commitment has a positive impact on their work-related use of the relevant ESN directly and through the mediating roles of their organizational concern and prosocial values.Originality/valuePrevious studies have carefully addressed the role of organizational commitment in the implementation of conventional information systems. However, this is among the few studies addressing the role of commitment in the work-related implementation of ESNs. The results of this study shed light on how employees with a high level of commitment toward the organizations for which they work take advantage of ESNs due to a work-related motivation for the accomplishment of their duties, for bringing benefits into the organization and for helping their coworkers.

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A model for evaluating the paradoxical impacts of organizational members’ social use of SNSs on destructive voice

Cited by 12 publications

References 62 publications

Disclosing the bright side of SNs in the workplace

Disclosing the bright side of SNs in the workplace

Identifying Startups Business Opportunities from UGC on Twitter Chatting: An Exploratory Analysis

Organizational commitment and work-related implementation of enterprise social networks (ESNs): the mediating roles of employees' organizational concern and prosocial values

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