Mohammad Olfat, Sajjad Shokouhyar, Sadra Ahmadi and Seyed Mohammad Mahdi Ghaderi
This study utilized “social cognitive theory” to compare the impacts of organizational members' hedonic and work-related use of public social networks (SNs) and enterprise social…
Abstract
Purpose
This study utilized “social cognitive theory” to compare the impacts of organizational members' hedonic and work-related use of public social networks (SNs) and enterprise social networks (ESNs) on job satisfaction.
Design/methodology/approach
The participants comprised 240 employees who were able to simultaneously use SNs and ESNs in the workplace with regard to both hedonic and work-related motives. The measurement and structural models were evaluated using partial least squares structural equations modeling (PLS-SEM).
Findings
The results show that organizational members' hedonic and work-related use of public SNs enhances job satisfaction. However, the hedonic and work-related use of ESNs has negative and positive impacts on job satisfaction respectively.
Originality/value
The main theoretical contribution of this study lies in showing that employees' use of social networks does not necessarily entail detrimental or beneficial consequences and depending on different factors the outcomes are different. Following a comprehensive review of the literature, users' incentives and platforms emerged as two different factors contributing to the outcomes arising from the use of social networks in the workplace. Although a few studies have explored the impacts of organizational members' use of social networks on job satisfaction, none have done so in relation to different user incentives and platforms.
Details
Keywords
Shahram Sedghi and Somayeh Ghaffari Heshajin
Genetics, a discipline of biology, is one of the most recent and rapidly advancing disciplines in science. This study aims to present a bibliometric analysis of the genetics…
Abstract
Purpose
Genetics, a discipline of biology, is one of the most recent and rapidly advancing disciplines in science. This study aims to present a bibliometric analysis of the genetics research output of Iranian authors, map the intellectual structure of these studies and investigate the development path of this literature and the interrelationships among the main topics.
Design/methodology/approach
This study searched the Web of Science database for documentation of Iranian-published genetics research published up to 2020. Further, this study used HistCite software to profile and analyze the most cited articles and references and to draw their historiographies.
Findings
A database search revealed 21,329 documents that created the study population. The highest cited publications based on the Global Citation Score (GCS) and Local Citation Score (LCS) achieved scores of 602 and 47, respectively. The publication growth rate study demonstrated consistent expansion over time. The scientific maps based on LCS and GCS had five and four clusters, respectively. Furthermore, journal articles emerged as the predominant type of publication.
Practical implications
The significance of this study is in its contribution to understanding the genetics research position in Iran, informing policymakers and researchers, helping scientific collaboration and its impact on public attitudes and quality of life. The results of the present study, with benefits for various groups of communities, such as policymakers, academic groups and public society, can bridge the gap between theoretical research and practical implications.
Social implications
The results of this study, by helping future advancement in health care, medical genetics and disease prevention, may have a direct and indirect positive influence on the quality of life. Furthermore, it may lead to more informed discussions on health care and biotechnology as well as influencing public attitudes and perceptions.
Originality/value
Ultimately, this study concludes that despite the proliferation of publications in terms of quantity and complexity, especially in areas such as disease diagnosis, prevention and treatment, there remains a need for more attention to other facets of genetics such as biology and biotechnology. Iranian publications are most related to population genetics, human genetics, molecular genetics, medical genetics, genomics, developmental genetics and evolutionary genetics out of 10 branches of genetics. This study reveals patterns in scientific outputs and authorship collaborations and plays an alternative and innovative role in revealing Iranian research trends in genetics.