In developing countries, the role of women in miscellaneous occupations has kept its importance over the decades. So, it seems necessary to examine factors that may affect female job response. The purpose of this study was to investigate the effect of family emotional social support on both job satisfaction and turnover intention, as well as examine the moderating role of psychological capital, namely, hope, optimism, self-efficacy and resilience as an internal factor. Using a self-report questionnaire, a sample of 210 female respondents was selected. Data was analyzed using confirmatory factor analysis and PLS structural equation modeling. The results indicated that family emotional support affected both job satisfaction and turnover intention positively. The partial mediating role of psychological capital in the relationship between family emotional social support and job satisfaction was supported. This research considers the role of family emotional support and psychological capital on female employee job satisfaction and turnover intention. This research provides in-depth knowledge about the role of females in Iranian employment culture.
Keywords: Job satisfaction, Family emotional social support, Psychological capital, Turnover intention, Job response, Female employee.
JEL Classification: J28; J63; D91.
DOI: 10.20448/802.71.59.70
Citation | Seyedeh Fatemeh Ghasempour Ganji; Lester W. Johnson (2020). The Relationship between Family Emotional Support, Psychological Capital, Female Job Satisfaction and Turnover Intention. International Journal of Economics, Business and Management Studies, 7(1): 59-70.
Copyright: This work is licensed under a Creative Commons Attribution 3.0 License
Funding : This study received no specific financial support.
Competing Interests: The authors declare that they have no competing interests.
History : Received: 5 December 2019 / Revised: 13 January 2020 / Accepted: 20 February 2020 / Published: 18 March 2020 .
Publisher: Online Science Publishing
Highlights of this paper
|
Many studies have focused on the relationship between employee Job Response (JR), namely Job Satisfaction (JS) and Turnover Intention (TI); and internal factors, including personality, Psychological Capital (PsyCap) and emotional intelligence (e.g., Kaplan and Bickes (2013)) and external factors including working environment, company subculture, perceived support of family members and equal opportunity climate (e.g., (Ahmad & Omar, 2013; Estrada & Harbke, 2008; Park & Choi, 2009; Valentine, Greller, & Richtermeyer, 2006; Yang, 2010) ). This study used positive psychological capital as an internal factor influencing JS (Kaplan & Bickes, 2013; Kwok, Cheng, & Wong, 2015) and TI (Chaudhary & Chaudhari, 2015; Gu, 2016; Lee, 2012; Zhao & Gao, 2014) as a job response (JR). PsyCap, goes beyond human (‘what you know’) and social (‘who you know’) capital, and is a takeoff from economic capital (where resources are invested and leveraged for a future return). It is more directly concerned with ‘who you are’ and ‘who you are becoming’ or developing one’s actual self to become the possible self (Luthans et al., 2006). It is about hope, optimism, self-efficacy and resilience of any person. Serving as external factors, support from family, friends, coworkers, and supervisors influence JS and TI (Ahmad & Omar, 2013; Bakker, Emmerik, & Euwema, 2006; Baruch-Feldman, Brondolo, Ben-Dayan, & Schwartz, 2002; Kwok et al., 2015; Nohe & Sonntag, 2014; Park & Choi, 2009) . Among all sources of support, family support is particularly effective in decreasing exhaustion and buffering the effects of work stress from burnout as negative work-related outcomes (Cohen & Wills, 1985; Karatepe, 2010).
Despite some research that show there are no gender differences in the magnitude of perceived support from family members (Rosario, Shinn, Mørch, & Huckabee, 1988; Soloman & Rothblum, 1986; Vaux, 1985) some studies confirm stronger correlations between family support and depression and heart attack for girls than for boys (Knoll & Schwarzer, 2002; Slavin & Rainer, 1990). Despite all this, gender, as it is considered in this study, seems a variable that may correlate with JR (JS and TI) (Campbell, 2011; Emiroğlua, Akova, & Tanrıverdic, 2015; Negi, 2009; Watanabe, 2010) . Because gender and the type of organization can play a role as moderator in many organizational relationships (Mauno, Kinnunen, & Feldt, 2012) the present study aims to measure the relationship between Family Emotional Social Support (FESS) and job response (job satisfaction and turnover intention) with the mediating role of PsyCap among the female staff in a university in the northeast of Iran.
The present study was undertaken to complement existing research on work-family relationships. In particular, the emphasis was on the family-to-work direction of influence. Most work–family research is on social support and it is based on matching domain relationships, that is, social support in the family domain is related to family interfering with work conflict and social support in the work domain and is related to work interfering with family conflict (Selvarajan, Cloninger, & Singh, 2013). Moreover, the specific focus of the study was the variable of family social support (King, Mattimore, King, & Adams, 1995). Two types of social support are: (a) emotional or socio-emotional, and (b) instrumental or tangible. Emotional social support is exemplified by sympathetic and caring behaviors (Beehr, 1985). Three primary sources of social support are: (a) from supervisors, (b) from coworkers, and (c) from extra-organizational sources, such as friends and family (Kaufmann & Beehr, 1986; King et al., 1995).
It is usual to define and measure positive job response by job satisfaction (JS) (Cheng, Yang, Wan, & Chu, 2013; Valentine., 2010). JS accounts for most work-related studies in the field of organizational and industrial psychology and organizational behavior (Jawahar & Hemmasi, 2006). It is defined as personal feelings about the job and its associated aspects (Zehir, Erdogan, & Basar, 2011). JS is an attitude towards ones' job while it is basically an affective, cognitive, and evaluative reaction towards a job (Jawahar & Hemmasi, 2006). JS could be measured at the individual or organizational level (Schneider, 1975). In this article JS is measured at the individual level. JS refers to the assessment of individual needs and value systems (Schneider, 1975) and includes individual development in response to people’s understanding of the job (Zehir et al., 2011) as well as their feeling of the organizational climate (Tsai, 2014).
In addition to JS, another common component to define positive job response is intention to stay (Cheng et al., 2013; Valentine., 2010). Among various definitions of turnover intention, it is described as the employees' will and action for leaving an organization (Cho & Sung, 2011). Although there is often temporal separation between intention to leave and actual exit (Mai, Ellis, Christian, & Porter, 2016) one of the most powerful predictors of actual turnover is turnover intentions (Griffeth, Hom, & Gaertner, 2000). Turnover intention is a cause of employee behavior with a casual model then leading to the actual turnover.
Psychological capital comes from the positive psychology movement that aims to shift the emphasis away from what is wrong to what is right with people and focuses on strengths instead of weaknesses, to be interested in resilience instead of vulnerability, and to be concerned with enhancing and developing wellness, prosperity and the good life instead of remediation of pathology (Luthans & Jensen, 2002; Luthans. & Youssef, 2007). In positive psychology, the term Positive Organizational Behavior (POB) intends to identify a newly arising focus on a positive approach to developing and managing human resources in today’s workplace (Luthans. & Youssef, 2007; Luthans.., Avolio, Avey, & Norman, 2007). It was the way that formally integrates positive psychology to the workplace (Avey., Luthans, & Youssef, 2010). An important construct that has emerged from the POB movement is PsyCap (Culbertson, Fullagar, & Mills, 2010). Luthans. and Youssef (2007) characterized PsyCap as: ” 1) Self Efficacy- having confidence to take on and put in the necessary effort to succeed at challenging tasks; 2) Optimism- making a positive attribution about succeeding now and in the future 3) Hope- persevering towards goals and, when necessary redirecting paths to goals; and 4) Resiliency- when beset by problems and adversity, sustaining and bouncing back and even beyond to attain success” (Luthans. & Youssef, 2007). In this research, these characteristics have been used.
Different studies have been conducted on the relationship between FESS and job response as well as the role of PsyCap in this relation. Reviewing some studies can help to understand the relationship.
PsyCap is a core construct that predicts satisfaction (Luthans..., Avey, Avolio, Norman, & Combs, 2006). Ahanchian and Ganji (2017) suggest the psychological aspects of the organization are vital for female staff because these aspects determine job satisfaction. Apart from positive psychological capital, family factors may also influence workers’ JS. Family often acts as the primary source of support, such as emotional sustenance and instrumental assistance (Adams, King, & King, 1996). Social support, in particular emotional support, helps reduce job dissatisfaction and workload dissatisfaction (Kaufmann. & Beehr, 1989). FESS has been especially important to JS in women employees (King et al., 1995). But the conceptual link between the FESS, as an external factor in the family domain, and job response as an individual factor may not be as simple and direct as some literature suggested. In order for an external factor to influence individual social attitudes, there may be an important role for a mediating variable that is specific to the individual (Kwok et al., 2015).
PsyCap was also shown to be a mediator between transformational leadership and followers’ job performance and satisfaction (Sui, Wang, Yue, & Fred, 2012). Lui (2011) demonstrate the mediating role of psychological capital in the relationship between positive emotions and JS. A supportive family may create the positive environment necessary for PsyCap to flourish and this consequently contributes to JS (Kwok et al., 2015). Drawing from all this, we hypothesize that:
Hypothesis 1. FESS has a positive effect on PsyCap.
Hypothesis 2. FESS has a positive effect on JS.
Hypothesis 3. PsyCap has a positive effect on JS.
Hypothesis 4. PsyCap has a mediating role on the relationship between FESS and JS.
Family is a great predictor of turnover intention (TI). Work–life conflict leads to deleterious health outcomes, absenteeism (Bolger, DeLongis, Kessler, & Wethington, 1989) and turnover (Timms et al., 2015). Nohe and Sonntag (2014) showed that family-to-work conflict is more important in predicting increases in TI than work-to-family conflict. On the other hand, a recent meta-analysis of 51 research studies showed significant relationships between PsyCap and employee attitudes such as JS, TI and employee behaviors such as job performance and citizenship behavior (Avey, Reichard, Luthans, & Mhatre, 2011). For TI, Avey. et al. (2010) suggested several reasons for how PsyCap could reduce job turnover intention. For example, resilience allowed individuals to bounce back when facing adversity and difficulty in work and performed positive coping and adaptation to the workplace environment instead of quitting. The component of hope helped widen one ‘s capacity in thinking of the pathways to achieve individual work goals successfully and reduced the needs to leave the job. As a result, PsyCap was negatively correlated with TI Avey. et al. (2010). Therefore, based on the arguments above and the available evidence, we hypothesize the following:
Hypothesis 5. PsyCap has a negative effect on TI.
Hypothesis 6. FESS has a negative effect on TI.
Hypothesis 7. PsyCap has a mediating role on the relationship between FESS and TI.
The relationship between JS and TI has been examined extensively in the literature and generally showed that higher JS results in reduced TI (Valentine...., Godkin, Fleischman, & Kidwell, 2011). Jaramillo, Mulki, and Solomon (2006); Jones, Kantak, Futrell, and Johnston (1996) and Egan, Yang, and Bartlett (2004) concluded that JS is associated with decreased intentions to leave. Tett and Meyer (1993) conducted a meta-analysis of 155 relevant studies when they suggested that JS is negatively associated with TI. Hence, we argue that JS will affect TI leading to the following hypothesis
Hypothesis 8. JS has a negative effect on TI.
The conceptual model, given these hypotheses, is showed in Figure 1.
Source: Adopted and Modified from Kwok et al. (2015) & Ahanchian and Ganji (2017).
We measured FESS using the 29-item emotional sustenance subscale within (King et al., 1995) Family Support Inventory. PsyCap was measured using the 24-item PCQ of Luthans.. et al. (2007) that was used in many papers such as Hodges (2010). Sapyaprapa, Tuicomepee, and Watakakosol (2013) tested the validity of this scale where the Cronbach alpha for self-efficiency was .87, for hope was .84, .87 for resilience and .80 for optimism. JS and TI were measured using the scale of Cheng et al. (2013) that was obtained from Seasfore, Lawler, Mirvis, and Cammann (1982): (for JS) 1) In general, I don’t like my job (reverse code).; 2) I like working where I do.; 3) I am comfortable in my job; 4) I am satisfied with my job. and: (for TI) 1) I think about moving to another organization; 2) I will leave the company in the next few year; 3) I expect to be with another company soon. All the measurement scales were based on a 5-point Likert scale (i.e., from 1= ‘strongly disagree’ to 5 = ‘strongly agree’).
The sample data was collected using a paper-based questionnaire. The population for this research comprised of all 315 female staff members at one of the biggest universities in north-east Iran. Participants were requested to complete a questionnaire at their leisure and return it directly to the investigator within a designated period of time. The response rate was 65%. 210 usable responses were received with an age range of 20–60 years (M = 36.21, SD = 14.12) and work experience of 2–30 years (M = 6.21, SD = 11.25).
The content validity of the scales was evaluated by an expert panel that consisted of 5 management professors who had over 5 years’ experience of providing work-place counseling services. All panel members generally agreed that the test items were valid. We used Cronbach's alpha, composite reliability, AVE and factor loadings for evaluating the questionnaire's reliability. The results are shown in Table 1.
Variables |
Cronbach's alpha |
Composite reliability |
AVE |
FESS |
0.98 |
0.98 |
0.72 |
Psychological capital |
0.96 |
0.97 |
0.90 |
Job satisfaction |
0.93 |
0.95 |
0.83 |
Turnover intention |
0.88 |
0.91 |
0.77 |
Cronbach's α values for all constructs were higher than 0.8 Table 1 and so met the criterion of strong reliability. All the composite reliability values were higher than 0.8 Table 1 meeting the criterion for strong reliability suggested by Chin and Gopal (1995). The loading values of all items were above 0.7. Because the number questions was 60, these are not shown. The average variance extracted (AVE) values of all constructs were above 0.6 Table 1 meeting the criterion of discriminant validity (Fornell & Larcker, 1981).
Confirmatory factor analysis was conducted to validate the measurement model. The fit indices for the confirmatory factor analysis model using AMOS 16.0 were as follows: χ2= 967.59, df = 412, GFI = .89, AGFI = .84, CFI = .93, and RMSEA = 0.05. These values show an adequate level of overall model fit. All items in the model had significant parameter estimates with standardized estimates greater than .50. These results also suggest that data reflect satisfactory convergent validity for each subscale which was able to explain the items it measured better than other subscales (Doll, Xia, & Torkzadeh, 1994; Fornell & Larcker, 1981; Hair, Black, Babin, Anderson, & Tatham, 2006) .
Variables |
Mean |
SD |
1 |
2 |
3 |
4 |
|
1. Family emotional social support |
3.120 |
1.075 |
1 |
.951** .000 |
.944** .000 |
.291** .017 |
|
2. Psychological capital |
Self-efficiency |
3.233 |
1.137 |
.951** .000 |
1 |
.964** .000 |
-.265* .028 |
Optimism |
3.194 |
1.144 |
.932** .000 |
||||
Hope |
2.526 |
1.254 |
.948** .000 |
||||
Resilience |
3.662 |
.8678 |
.755** .000 |
||||
3. Job satisfaction |
2.752 |
1.098 |
.944** .000 |
.964** .000 |
1 |
-.407** .000 |
|
4. Turnover intention |
3.023 |
.9244 |
0.291** .017 |
-.265* .028 |
-.407** .000 |
1 |
Note: * p <.05 (two-tailed) ** p <.01 (two-tailed).
Among the variable's, turnover intention measures the negative aspect of the job response. For this variable the average above three is not good and shows that intention of the woman employees for leaving their job is higher than average (3).
Our study aimed at proposing and testing a research model Figure 1 that examined the mediating role of PsyCap in the association between FESS and job response. For analyzing the model, we used smartPLS 2. Since in this research, psychological capital was introduced as the mediator variable, we need to determine if there is partial mediation or full mediation. Results of this estimation are shown in Figure 2. All estimated paths are significant at the ).01 level of significance except for the path from PsyCap to TI which is insignificant.
The R2 for PsyCap, JS and TI were 0.906, 0.938 and 0.161 respectively. According to the level of R2 values, 90% of the variation in PsyCap are accounted for by the present model. This means that other variables also affect PsyCap that have not been addressed in the present study. However, FESS can be regarded as an important variable that affects psychological capital. 93% of JS variation are accounted for by the present model. This means FESS and PsyCap can be regarded as important variables that affect JS. Finally, 16% of TI variation are accounted for by the present model. This means that other variables also affect TI that have not been addressed in the present study.
According to the results of the structural equation model Figure 2 the results illustrated that FESS is positively related to PsyCap. Therefore, hypothesis 1 is supported. PsyCap significantly influenced JS so hypothesis 2 is supported. This relationship was supported by the research of Badran and Youssef-Morgan (2015) and Bergheim, Nielsen, Mearns, and Eid (2015). Hypothesis 3 is supported because FESS had a positive relationship with JS, which was inconsistent with the findings of Kwok et al. (2015); Luthans... et al. (2006) and Luthans.. et al. (2007) showing that family emotional support was a direct predictor of job satisfaction. For testing hypothesis 4, we note that the paths from FESS to JS and from FESS to PsyCap and PsyCap to JS are all significant implying partial mediation. so hypothesis 4 is partially supported. Hypothesis 5 is not supported and PsyCap did not have an influence on TI. These results suggest that PsyCap doesn't play a mediating role in the relationship between FESS and TI. Hence, hypothesis 7 is not supported. Hypothesis 6 is also not supported, because FESS had a positive relationship with TI. This result shows that emotional support increases turnover intention in the female staff. This result is contrary to the findings of the Kwok et al. (2015) research. This contradiction may result from the employees’ dissatisfaction with their workplace (2.752) in Table 2. It may also cause low level of female university employees’ hope with the average 2.526 as a part of psychological capital. This discrepancy may be due to the specific population, which is specifically restricted to the female employees of the university. Studies on the relationship between gender and turnover intention have led to conflicting results (Hayes, 2015). However, some studies have confirmed such association. For instance, the number of female employees’ turnover intention is twice the number of males (Cawmset, 2000). In contrast to these findings, some research like Wai and Robinson (1998); Miller and Wheeler (1992) and Berg (1991) found no relationship between gender and turnover rate. This contradiction result from Iranian culture, for example Iranian people culturally believe that it is the duty of the men, not the women’s responsibility, to support the family financially. And perhaps because of such emotional support, women are more likely to leave their jobs if they received a high level of support from their family. Finally, Hypothesis 8 is supported because JS showed a negative relationship with TI. This result similar to the results of the study conducted by Lui (2011).
This study offered three major contributions. First, it answers the question of how family emotional support influences job response (JS and TI) by investigating the moderating role of PsyCap. Second, the study identifies and examines the effect of psychological capital as an internal factor and family emotional support as an external factor on JS and TI. Third, it provides evidence in Iran, a non-western cultural country, enriching the existing body of studies, which sample exclusively from western culture.
Adams, G. A., King, L. A., & King, D. W. (1996). Relationships of job and family involvement, family social support, and work–family conflict with job and life satisfaction. Journal of Applied Psychology, 81(4), 411-420. Available at: https://doi.org/10.1037/0021-9010.81.4.411.
Ahanchian, M., & Ganji, S. F. G. (2017). The effect of perceptions of ethical context on job satisfaction with emphasis on work values: The case of female staff at an Iranian university. International Journal of Work Organisation and Emotion, 8(2), 118-130. Available at: https://doi.org/10.1504/ijwoe.2017.10007609.
Ahmad, A., & Omar, Z. (2013). Informal workplace family support and turnover intention: Testing a mediation model. Social Behavior and Personality, 41(4), 555-556. Available at: https://doi.org/10.2224/sbp.2013.41.4.555.
Avey, J. B., Reichard, R. J., Luthans, F., & Mhatre, K. H. (2011). Meta-analysis of the impact of positive psychological capital on employee attitudes, behaviors, and performance. Human Resource Development Quarterly, 22(2), 127-152. Available at: https://doi.org/10.1002/hrdq.20071.
Avey., J. B., Luthans, F., & Youssef, C. M. (2010). The additive value of positive psychological capital in predicting work attitudes and behaviors. Journal of Management, 36(2), 430-452. Available at: https://doi.org/10.1177/0149206308329961.
Badran, M. A., & Youssef-Morgan, C. M. (2015). Psychological capital and job satisfaction in Egypt. Journal of Managerial Psychology, 30(3), 354–370.
Bakker, A. B., Emmerik, H. v., & Euwema, M. C. (2006). Crossover of burnout and engagement in work teams. Work and Occupations, 33(4), 464-489. Available at: https://doi.org/10.1177/0730888406291310.
Baruch-Feldman, C., Brondolo, E., Ben-Dayan, D., & Schwartz, J. (2002). Sources of social support and burnout, job satisfaction, and productivity. Journal of Occupational Health Psychology, 7(1), 84–93. Available at: https://doi.org/10.1037/1076-8998.7.1.84.
Beehr, T. (1985). The role of social support in coping with organizational stress. In: Beehr, T. A. and Bhagat, R. S. (Eds.), human stress and cognition in organizations: An integrated perspective (pp. 375-398). New Yotk: Wiley.
Berg, T. R. (1991). The importance of equity perception and job satisfaction in predicting employee intent to stay at television stations. Group & Organization Studies, 16(3), 268-284. Available at: https://doi.org/10.1177/105960119101600303.
Bergheim, K., Nielsen, M. B., Mearns, K., & Eid, J. (2015). The relationship between psychological capital, job satisfaction, and safety perceptions in the maritime industry. Safety Science, 74(1), 27-36. Available at: https://doi.org/10.1016/j.ssci.2014.11.024.
Bolger, N., DeLongis, A., Kessler, R., & Wethington, E. (1989). The contagion of stress across multiple roles. Journal of Marriage and the Family, 51(1).
Campbell, D. (2011). Diversity and job satisfaction: Reconciling conflicting theories and findings. International Journal of Applied Management and Technology, 10(1), 1-15.
Cawmset. (2000). Land of plenty: Diversity as America’s competitive edge in science, Engineering and technology. Washington DC: Congressional Commission on the Advancement of Woman and Minorities in Science, Engineering and Technology Development.
Chaudhary, S., & Chaudhari, S. (2015). Relationship between psychological capital, job satisfaction and turnover intention of bank employees. Indian Journal of Health & Wellbeing, 6(8), 816-819.
Cheng, P.-Y., Yang, J.-T., Wan, C.-S., & Chu, M.-C. (2013). Ethical contexts and employee job responses in the hotel industry: The roles of work values and perceived organizational support. International Journal of Hospitality Management, 34, 108-115. Available at: https://doi.org/10.1016/j.ijhm.2013.03.007.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. Data Base Advertising, 26(2), 42–64.
Cho, D. H., & Sung, H. N. (2011). Factors affecting the turnover intentions of small and medium construction IT workers, Grid and distributed computing. Communications in Computer and Information Science, 261(3), 300-308. Available at: https://doi.org/10.1007/978-3-642-27180-9_37.
Cohen, S., & Wills, T. A. (1985). Social support and the buffering hypothesis. Psychol. Bull, 98, 310-357. Available at: https://doi.org/10.1037/0033-2909.98.2.310.
Culbertson, S. S., Fullagar, C. J., & Mills, M. J. (2010). Feeling good and doing great: The relationship between psychological capital and well-being. Journal of Occupational Health Psychology, 15(4), 421-433. Available at: https://doi.org/10.1037/a0020720.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 453–461. Available at: https://doi.org/10.1111/j.1540-5414.2003.02428.x.
Egan, T. M., Yang, B., & Bartlett, K. R. (2004). The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention. Human Resource Development Quarterly, 15(3), 279-301. Available at: https://doi.org/10.1002/hrdq.1104.
Emiroğlua, B. D., Akova, O., & Tanrıverdic, H. (2015). The relationship between turnover intention and demographic factors in hotel businesses: A study at five star hotels in Istanbul (Vol. 207). 11th International Strategic Management Conference 2015, Procedia - Social and Behavioral Sciences.
Estrada, A. X., & Harbke, C. R. (2008). Gender and ethnic differences in perceptions of equal opportunity climate and job outcomes of US Army Reserve component personnel. International Journal of Intercultural Relations, 32(5), 466-478.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39–50.
Griffeth, R. W., Hom, P. W., & Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26(3), 463-488. Available at: https://doi.org/10.1177/014920630002600305.
Gu, B. (2016). Effects of psychological capital on employee turnover intentions: A study based on Hai Di Lao Hot Pot. Journal of Global Tourism Research, 1(1), 21-28. Available at: https://doi.org/10.37020/jgtr.1.1_21.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed.). Englewood Cliffs, NJ: Prentice Hall.
Hayes, T. M. (2015). Demographic characteristics predicting employee turnover intentions. Doctoral Dissertation, Walden University.
Hodges, T. D. (2010). An experimental study of the impact of psychological capital on performance, engagement, and the contagion effect" Dissertations and Theses from the college of business administration. Lincoln: University of Nebraska
Jaramillo, F., Mulki, J. P., & Solomon, P. (2006). The role of ethical climate on salesperson’s role stress, job attitudes, turnover intention, and job performance. Journal of Personal Selling & Sales Management, 26(3), 271-282. Available at: https://doi.org/10.2753/pss0885-3134260302.
Jawahar, I. M., & Hemmasi, P. (2006). Perceived organizational support for women's advancement and turnover intentions: The mediating role of job and employer satisfaction. Women in Management Review, 21(8), 643 – 661.
Jones, E., Kantak, D. M., Futrell, C. M., & Johnston, M. W. (1996). Leader behavior, work-attitudes, and turnover of salespeople: An integrative study. Journal of Personal Selling & Sales Management, 16(2), 13-23.
Kaplan, M., & Bickes, D. (2013). The relationship between psychological capital and job satisfaction: A study of hotel businesses in Nevşehir. Paper presented at the Yönetim ve Ekonomi, 20 th National Management and Organization Conference, Dokuz Eylül University Faculty of Business.
Karatepe, O. M. (2010). The effect of positive and negative work-family interaction on exhaustion: Does work social support make a difference? International Journal of Contemporary Hospitality Management, 22(2), 836–856. Available at: https://doi.org/10.1108/95961191080000537.
Kaufmann, G. M., & Beehr, T. A. (1986). Interactions between job stressors and social support: Some counterintuitive results. Journal of Applied Psychology, 71(3), 522-526. Available at: https://doi.org/10.1037/0021-9010.71.3.522.
Kaufmann., G. M., & Beehr, T. A. (1989). Occupational stressors, individual strains, and social supports among police officers. Human Relations, 42(2), 185–197. Available at: 10.1177/001872678904200205.
King, L. A., Mattimore, L. K., King, D. W., & Adams, G. A. (1995). Family support inventory for workers: A new measure of perceived social support from family members. Journal of Organizational Behavior, 16(3), 235-258. Available at: https://doi.org/10.1002/job.4030160306.
Knoll, N., & Schwarzer, R. (2002). Gender and age differences in social support: A study on East German refugees. In G. Weidner, M. Kopp, & M. Kristenson (Eds.), Heart disease: Environment, stress, and gender. NATO science series, Series I: Life and behavioural sciences (Vol. 327, pp. 198-210). Amsterdam: IOS Press.
Kwok, S. Y., Cheng, L., & Wong, D. F. (2015). Family emotional support, positive psychological capital and job satisfaction among Chinese white-collar workers. Journal of Happiness Studies, 16(3), 561-582. Available at: https://doi.org/10.1007/s10902-014-9522-7.
Lee, T. H. (2012). Gender differences in voluntary turnover: Still a paradox? International Business Research, 5(10), 19-28. Available at: https://doi.org/10.5539/ibr.v5n10p19.
Lui, C. L. (2011). A study of positive emotions and turnover intention among Hong Kong police officers: The mediating role of psychological Capital and Work Well-Being. Thesis, Master of Philosophy in Social Sciences (Psychology), Lingnan University.
Luthans, F., & Jensen, S. M. (2002). Hope: A new positive strength for human resource development. Human Resource Development Review, 1(3), 304-322. Available at: https://doi.org/10.1177/1534484302013003.
Luthans., F., & Youssef, C. M. (2007). Emerging positive organizational behavior. Journal of Management, 33(3), 321-349.
Luthans.., F., Avolio, B. J., Avey, J. B., & Norman, S. (2007). Positive psychological capital: Measurement and relationship with performance and satisfaction. Personnel Psychology, 60(3), 541-572. Available at: https://doi.org/10.1111/j.1744-6570.2007.00083.x.
Luthans..., F., Avey, J. B., Avolio, B. J., Norman, S. M., & Combs, G. M. (2006). Psychological capital development: Toward a micro-intervention. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 27(3), 387-393. Available at: https://doi.org/10.1002/job.373.
Mai, K. M., Ellis, A. P., Christian, J. S., & Porter, C. O. (2016). Examining the effects of turnover intentions on organizational citizenship behaviors and deviance behaviors: A psychological contract approach. Journal of Applied Psychology, 101(8), 1067. Available at: https://doi.org/10.1037/apl0000115.
Mauno, S., Kinnunen, U., & Feldt, T. (2012). Work-family culture and job satisfaction: Does gender and parenting status alter the relationship? Community, Work & Family, 15(1), 101-129. Available at: https://doi.org/10.1080/13668803.2011.598733.
Miller, J. G., & Wheeler, K. G. (1992). Unraveling the mysteries of gender differences in intentions to leave the organization. Journal of Organizational Behavior, 13(5), 465-478. Available at: https://doi.org/10.1002/job.4030130504.
Negi, N. (2009). Gender, race, job satisfaction and the social services, Professional development. The International Journal of Continuing Social Work Education, 12(1), 18 - 26.
Nohe, C., & Sonntag, K. (2014). Work–family conflict, social support, and turnover intentions: A longitudinal study. Journal of Vocational Behavior, 85(1), 1-12. Available at: https://doi.org/10.1016/j.jvb.2014.03.007.
Park, J.-H., & Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in online learning. Journal of Educational Technology & Society, 12(4), 207-217.
Rosario, M., Shinn, M., Mørch, H., & Huckabee, C. B. (1988). Gender differences in coping and social supports: Testing socialization and role constraint theories. Journal of Community Psychology, 16(1), 55-69. Available at: https://doi.org/10.1002/1520-6629(198801)16:1<55::aid-jcop2290160108>3.0.co;2-u.
Sapyaprapa, S., Tuicomepee, A., & Watakakosol, R. (2013). Validation of psychological capital questionnaire in Thai employees. Paper presented at the The Asian Conference on Psychology & the Behavioral Sciences, Osaka, Japan.
Schneider, B. (1975). Organizational climate: An essay. Personal Psychology, 28(4), 477 – 479.
Seasfore, S. E., Lawler, I., Mirvis, P. H., & Cammann, C. (1982). Observing and measuring organizational change: A guide to field practice. New Work: Wiley.
Selvarajan, T., Cloninger, P. A., & Singh, B. (2013). Social support and work–family conflict: A test of an indirect effects model. Journal of Vocational Behavior, 83(3), 486-499. Available at: https://doi.org/10.1016/j.jvb.2013.07.004.
Slavin, L. A., & Rainer, K. L. (1990). Gender differences in emotional support and depressive symptoms among adolescents: A prospective analysis. American Journal of Community Psychology, 18(3), 407-421. Available at: https://doi.org/10.1007/bf00938115.
Soloman, L. J., & Rothblum, E. D. (1986). Stress, coping and social support in women. Behavior Therapist, 9(10), 199-204.
Sui, Y., Wang, H., Yue, Y.-N., & Fred, L. (2012). The effect of transformational leadership on follower performance and satisfaction: The mediating role of psychological capital and the moderating role of procedural justice. Acta Psychologica Sinica, 44(9), 1217-1230. Available at: https://doi.org/10.3724/sp.j.1041.2012.01217.
Tett, R. P., & Meyer, J. P. (1993). Job satisfaction, organizational commitment, turnover intention, and turnover: path analyses based on meta-analytic findings. Personnel Psychology, 46(2), 259-293. Available at: https://doi.org/10.1111/j.1744-6570.1993.tb00874.x.
Timms, C., Brough, P., O'Driscoll, M., Kalliath, T., Siu, O. L., Sit, C., & Lo, D. (2015). Flexible work arrangements, work engagement, turnover intentions and psychological health. Asia Pacific Journal of Human Resources, 53(1), 83-103. Available at: https://doi.org/10.1111/1744-7941.12030.
Tsai, C.-l. (2014). The organizational climate and employees’ job satisfaction in the Terminal Operation Context of Kaohsiung Port. The Asian Journal of Shipping and Logistics, 30(3), 373-392. Available at: https://doi.org/10.1016/j.ajsl.2014.12.007.
Valentine, S., Greller, M. M., & Richtermeyer, S. B. (2006). Employee job response as a function of ethical context and perceived organizational support. Journal of Business Research, 59(5), 582 – 588. Available at: https://doi.org/10.1016/j.jbusres.2005.06.004.
Valentine., S. (2010). Human resource management, ethical context, and personnel consequences: A commentary essay. Journal of Business Research, 63(8), 908-910. Available at: https://doi.org/10.1016/j.jbusres.2009.02.029.
Valentine...., S., Godkin, L., Fleischman, G. M., & Kidwell, R. (2011). Corporate ethical values, group creativity, job satisfaction and turnover intention: The impact of work context on work response. Journal of Business Ethics, 98(3), 353-372. Available at: https://doi.org/10.1007/s10551-010-0554-6.
Vaux, A. (1985). Variations in social support associated with gender, ethnicity, and age. Journal of Social issues, 41(1), 89-110. Available at: https://doi.org/10.1111/j.1540-4560.1985.tb01118.x.
Wai, T. T. C., & Robinson, C. D. (1998). Reducing staff turnover: A case study of dialysis facilities. Health Care Management Review, 23(4), 21-42. Available at: https://doi.org/10.1097/00004010-199802340-00003.
Watanabe, M. (2010). Gender and race differences in job satisfaction and commitment among STEM Faculty: The influence of network integration and work-family balance, Sociology theses University of Nebraska - Lincoln.
Yang, J.-T. (2010). Antecedents and consequences of job satisfaction in the hotel industry. International Journal of Hospitality Management, 29(4), 609-619. Available at: https://doi.org/10.1016/j.ijhm.2009.11.002.
Zehir, C., Erdogan, E., & Basar, D. (2011). The relationship among charismatic leadership, ethical climate, job satisfaction and organizational commitment in companies. Journal of Global Strategic Management, 5(2), 49-59. Available at: https://doi.org/10.20460/jgsm.2011515797.
Zhao, C., & Gao, Z. (2014). Why do they leave? The mechanism linking employees’ psychological capital to their turnover intention. Paper presented at the Proceedings of the Eighth International Conference on Management Science and Engineering Management, Volume 281 of the series Advances in Intelligent Systems and Computing.
Online Science Publishing is not responsible or answerable for any loss, damage or liability, etc. caused in relation to/arising out of the use of the content. Any queries should be directed to the corresponding author of the article. |