Affiliations: [a] China University of Labor Relations, Beijing, China
| [b] Department of Management, Qorveh Branch, Islamic Azad University, Qorveh, Iran
Correspondence:
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Corresponding author: Pei-Lin Chen, China University of Labor Relations, Beijing 100048, China. E-mail: [email protected].
Abstract: BACKGROUND:Nowadays, social networks become so famous and attract a lot of users. In recent eras, the increase of online social networks and the digitization of communication types have meant that online social networks have become a significant part of social network examination. OBJECTIVE:In this paper, we investigate the social networks to study the desire of women for fertility. The study has delivered new visions into the elements of reproductive behavior and has discussed the development of increasingly refined and realistic theories of fertility desire. METHODS:A questionnaire is intended for evaluating the elements of the model. Questionnaires were reviewed by experts with significant experiences in this domain. From 384 users of Telegram as an important social network in Iran, data are collected. For statistical examination, the SPSS 22 and SMART- PLS 3.2 software are also utilized. RESULTS:Results confirmed the validity of the model for assessing of the desire of women for fertility. The outcomes have indicated that the social network has a negative effect on the desire of women for fertility. Besides, the results have shown that the role of social networks on social learning is significant and positive. Furthermore, the role of social learning and supportive policies on the desire of women for fertility is positive and significant. CONCLUSIONS:According to findings, managers have enough precision in training women and daughters through social networks and social learning to enhance the desire for fertility. Finally, it is significant to note that since data are self-reported, they could be affected by rationalization and may not correlate with fertility behavior. In future studies, by gathering a comprehensive sample, other important elements can be considered that cause the desire of women for fertility.
Keywords: Human, social network, social learning, supportive policies, desire, women, fertility
