Different identifications cause different types of voice: A role identity approach to the relations between organizational socialization and voice

Wu, Wen-Lan; Tang, Fen; Dong, Xiaoyu; Liu, Chunlei

doi:10.1007/s10490-014-9384-x

Cited by 41 publications

(32 citation statements)

References 104 publications

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“…The discriminant validity was evaluated by using AMOS 22.0 software. According to the nested confirmatory factor analytic models by Wu et al, 52 we established and compared six nested models based on the research model ( Fig. 1) and ensured whether the six factors were distinct from each other.…”

Section: Discussionmentioning

confidence: 99%

Impact of Personal Trust Tendency on Patient Compliance Based on Internet Health Information Seeking

Zhang

et al. 2020

Telemedicine and e-Health

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Background: Personal trust tendency is an individual characteristic that can affect one's evaluation of others, behavior and its related outcomes. It may significantly affect one's health information seeking behavior and compliance. Therefore, this article aims at figuring out how personal trust tendency influences patient compliance through the internet health information seeking and patient satisfaction with it. Methods: Data were collected from 336 valid participants through an online survey in China. There are two independent variables: (1) cognition-based trust tendency and (2) affectbased trust tendency, three intervening variables (emerging internet health information seeking, conservative internet health information seeking, and satisfaction with internet health information), one dependent variable (patient compliance), and control variables. We performed confirmative factor analysis and structural equation modeling to test the hypotheses. Results: The cognition-and affect-based trust tendency positively affects patient compliance through the mediation of emerging and conservative internet health information seeking and satisfaction with internet health information. Surprisingly, strong positive relationships between affect-based trust tendency and emerging and conservative internet health information seeking were found, which are contrary to our initial hypothesis. Conclusions: Health information is considerably important when regarding health-related issues for individuals with cognition-and affect-based trust tendency. Physicians should encourage patients to seek health information on the internet and guide them to use internet health information that suits them. Information exchange and correlations should be involved in doctor-patient interactions. By following the suggestions just cited, better patient compliance can likely be obtained.

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Section: Discussionmentioning

confidence: 99%

Impact of Personal Trust Tendency on Patient Compliance Based on Internet Health Information Seeking

Zhang

et al. 2020

Telemedicine and e-Health

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“…Examining the discriminant validity of constructs, we established six nested confirmatory factor analytic models based on the research model and compared their fits to the data [36]. Model 1 was a six-factor model treating each of the variables as separate factors; model 2 was a five-factor model treating performance expectancy and effort expectancy as the first factor, treating social influence as the second factor, treating attitude toward using technology as the third factor, treating behavioral intention as the fourth factor, and treating usage behavior as the fifth factor; model 3 was a four-factor model treating performance expectancy, effort expectancy, and social influence as the first factor, treating attitude toward using technology as the second factor, treating behavioral intention as the third factor, and treating usage behavior as the fourth factor; model 4 was a three-factor model treating performance expectancy, effort expectancy, social influence, and attitude toward using technology as the first factor, treating behavioral intention as the second factor, and treating usage behavior as the third factor; model 5 was a two-factor model treating performance expectancy, effort expectancy, social influence, attitude toward using technology, and behavioral intention as the first factor, and treating usage behavior as the second factor; and model 6 was a one-factor model treating all six factors as one factor.…”

Section: Discussionmentioning

confidence: 99%

An Empirical Study on Patients’ Acceptance of Physician-Patient Interaction in Online Health Communities

Zhang

Zhu

2019

IJERPH

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In China, the utilization of medical resources is contentious, and a large of hospitals are seriously congested because of the huge population and uneven distribution of medical resources. Online health communities (OHCs) provide patients with platforms to interact with physicians and to get professional suggestions and emotional support. This study adopted the unified theory of acceptance and use of technology to identify factors influencing patients' behavioral intention and usage behavior when interacting with physicians in OHCs. An investigation involving 378 valid responses was conducted through several Chinese OHCs to collect data. Confirmatory factor analysis and structural equation modelling were utilized to test hypotheses. Both the reliability and validity of the scales were acceptable. All five hypotheses were supported, and behavioral intention played a significant mediating role between independent variables and dependent variables. This study clarified the mechanism by which performance expectancy, effort expectancy, social influence and attitude toward using technology affect usage behavior through the mediation of behavioral intention in OHCs. These findings suggest that OHCs can change the actions of websites such as adopting some incentives to promote patients' intention of interaction. Physicians should understand patients' actual attitudes toward OHCs and try to guide patients in their interactions, improving the quality of physician-patient interaction.

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“…Within the sub-theme of employee representation, employee voice behavior is depicted as being influenced by organizational socialization (Wu, Tang, Dong, & Liu, 2015), with associated grievance management systems also influenced by the history and ownership form of the firm, and contributing to productivity and enhanced relationships (Cooke & Saini, 2015). More nascent theorizing on conflict avoidance demonstrates that employees with high closure needs demonstrate greater tendency towards conflict avoidance (Zhang, Wei, Chao, & Zheng, 2017).…”

Section: Ethics Management and Contextual Factorsmentioning

confidence: 99%

An overview of social responsibility dimensions in international business

Sinkovics¹,

Sinkovics²,

Archie-Acheampong³

2019

Socially Responsible International Business

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This chapter aims at taking stock of business-responsibility-related studies in international business (IB) research. Key features of this literature review include (1) a broad search strategy capturing both positive and negative aspects of responsibility, (2) not imposing any constraints on the time period, and (3) extending the search to all IB journals included in the Web of Science database. By incorporating both responsible and irresponsible behavior in the search strategy, we are able to provide a holistic map of responsibility-related research in IB.

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Different identifications cause different types of voice: A role identity approach to the relations between organizational socialization and voice

Cited by 41 publications

References 104 publications

Impact of Personal Trust Tendency on Patient Compliance Based on Internet Health Information Seeking

Impact of Personal Trust Tendency on Patient Compliance Based on Internet Health Information Seeking

An Empirical Study on Patients’ Acceptance of Physician-Patient Interaction in Online Health Communities

An overview of social responsibility dimensions in international business

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