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Article

Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country

1
Department of Applied Psychology, Lahore College for Women University, Lahore 54000, Pakistan
2
Department of Applied Psychology, The Islamia University of Bahawalpur, Bahawalpur 54500, Pakistan
3
Effat College of Business, Effat University, Jeddah P.O. Box 34689, Saudi Arabia
4
Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University, Manchester M15 6BH, UK
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(7), 2861; https://0-doi-org.brum.beds.ac.uk/10.3390/su12072861
Submission received: 12 March 2020 / Revised: 1 April 2020 / Accepted: 1 April 2020 / Published: 3 April 2020

Abstract

:
Considering the profound societal change taking place in several developing countries, the objective of this paper is to reflect on work-family conflict (WFC) both as a concept and a social phenomenon. Given that WFC is a concept rooted in academic debate focusing on developments in Western, largely individualistic, societies, this paper reconsiders WFC’s value added as applied in a context of a collectivist society in a developing country. The objective of this paper is thus threefold, i.e., (i) to assess WFC’s applicability in a context of a collectivist society in a developing country, where the position and role of women gradually changes; (ii) to develop a culturally adjusted/sensitive scale to measure the scope of WFC in Pakistan, whereby the latter is treated here as a case study; and (iii) to reflect on the possibility of devising a set of good practices that would allow a smooth inclusion of women in the formal workforce, while at the same time mitigating the scope and scale of WFC. The value added of this paper stems from these three objectives.

1. Introduction

Work-family conflict (WFC) is a concept well embedded in the academic literature [1,2,3,4,5]. In the burgeoning body of research on WFC, diverse facets of the challenge have been explored [6,7,8]. Essentially, the concept, and so the debate, have been born out of and revolve around the question of how to manage the increasingly demanding career and family life. Originating in academic debates in the Anglo-Saxon world, the WFC literature, to a great extent, mirrors developments specific to individualistic societies in the developed world. That is, traditionally, the WFC debate used to be concerned with the implications of progressive inclusion of women in the workforce for family life. For this reason, implicitly, especially early works on WFC exhibit a certain positive gender-bias, i.e., women, rather than men, and the strain women, rather than men, endure were at the center of researchers’ attention. Importantly, over the years, a number of factors such as increasing number of dual career couples and the resultant decrease in single income families, the rise in single-parent households, as well as gradual decoupling of wage from gender rendered it necessary that new angles and new insights were added to the WFC debate. Indeed, the most recent works on WFC uphold issues as diverse as gender-equality, strain that men endure, and others, including questions of WFC in connection to the LGBT communities [9,10].
The value added and the application of research exploring diverse facets of WFC is multifold [11,12,13]. This paper looks specifically at WFC in connection to human resource management and, in this context, in connection to talent management in the workplace. Knowledge and understanding of WFC and the specificity of the multiple challenges it signifies are necessary for efficient talent management at a company/organization level. Research suggests that several tools, including flexible working time and place, task-oriented appraisal to mention such a few [14,15,16,17], prove efficient in mitigating WFC. Nevertheless, all too frequently employers tend to ignore these insights. This in turn affects productivity, efficiency, and as a result, sustainability of a given organization/business. To add a twist to this approach, this paper applies WFC in a less obvious context, i.e., that of a collectivist developing country undergoing a process of profound societal change that includes gradual inclusion of women in formal workforce. The objective here is (i) to assess WFC’s applicability in a context of a collectivist society in a developing country, where the position and role of women gradually changes; (ii) to develop a culturally adjusted/sensitive scale to measure the scope of WFC in Pakistan, whereby the latter is treated as a case study; and (iii) to reflect on the possibility of devising a set of good practices that would allow a smooth inclusion of women in the workforce, while at the same time mitigating the scope and scale of WFC.
The argument in this paper is structured as follows. First, a structured literature review is conducted to make a case for the need of a more nuanced culturally sensitive approach to WFC. In what follows, by focusing on the case of Pakistan, a culturally adjusted, i.e., taking into account the collectivist nature of the society and its stage of development, scale to measure WFC is devised. It is then applied through surveys and semi-structured interviews. Quantitative and qualitative analysis of the survey outcomes follows. Discussion and recommendations complete the argument. The key message that this paper conveys is that the two-pronged process of empowering women and inducting them in the formal workforce has a price [18,19]. WFC is one of them. As in this respect, developing countries follow the path curved by others, it is important to use the opportunity to have everyone involved in the process of societal transition for the sake of mitigating the scale and scope of WFC as experienced by women, and increasingly also by other societal groups.

2. Literature Review: Work Family Conflict and Its Diverse Facets

Work, family and parenting hold the utmost psychological importance in one’s life [20]. With the passage of time and the changing demographic in the workforce, the notion of work-family conflict (WFC) established itself as one of key topics of interest for researchers, experts and policy makers. This is due to the significant increase in the number of women in the labor force over the past decades [21]. A growing number of studies report that women find it extremely challenging to deal with the demands of both work and family life. As a result, WFC is on the rise. In the past, work and family were considered unrelated entities [22], however, the diverse number of empirical researches negated the notion as just a myth [23,24]. Work and family are two essential spheres of one’s life, and they cannot be separated. Work is not only an essential source of income but also, ideally, a source of positive stimuli for one’s self-esteem, empowerment, etc. Family, ideally, should be the source of love, affection, and contentment. Ideally, therefore, keeping work and family simultaneously in balance will have positive effects on individuals’ well-being [25]. Reality suggests, however, that it is increasingly difficult for individuals/employees to maintain harmony between their respective family roles and professional responsibilities. Hence, the propensity of conflict between these two increases [26,27], which results in WFC.
In the academic debate on the issue, the theoretical backdrop used to explain the linkages between work and family has been the derived from role scarcity model [28] and role theory [29]. Both explicitly elucidate the relationship between work and family. The scarcity hypothesis posits that human energy resource is fixed and allocating resources to work and family simultaneously [28] produces negative affect [30], which undermines human health. Similarly, role theory [29] asserts that individuals in their life are confronted with multiple incompatible roles, and each role holds specific requirements and expectations which might unavoidably conflict in some way. This sort of conflict has been called inter-role conflict.
On the basis of scarcity theory and inter-role theory, researchers defined WFC as “a form of multiple conflicts in which the role pressures of the work and family domains are mutually incompatible in some respects” [31]. To put it differently, WFC occurs when demands between the work and family roles are mismatched with each other and affect one’s ability to deal with both roles. Elaborating further on WFC phenomena, researchers [31] proposed three types of pressures contribute to WFC: time, strain, and behavior-based pressures. Time-based pressure occurs in proportion to number of hours or time allocated in one role, making it arduous to allocate time to another role. Strain-based pressure occurs when strain resulting from one role negatively interferes in another role, e.g., being cranky and short tempered at home because of overload, maltreatment or bullying at workplace [15]. Behavior-based pressure occurs due to incompatibility of suitable or specific behavior required in work and family domains (e.g., being authoritative or strict at work may assist getting work done, but being strict at home may create tension at home).
Balancing work–family demands has become an increasingly exigent task for working personnel around the globe [16]. Work to family interference (WIF) factors tend to be related with job type, job involvement, job flexibility, work time commitment [17], inflexible working hours or schedules [32], overtime [33], and workplace bullying [34] considered as responsible of causing occupational stress among the workers [35]. A research conducted with working women reported that women tend to have a poor relationship with their spouses as a result of inflexible work schedule [36] and unfinished work [37]. On the other side of the coin, family to work interference factors involve the cultural role of parenting [38] predicted by the presence of younger children [39] or having more children [40], elderly care [41] marital tension or spending more time on household chores [42] unavailability of child care [43] family system [44] and spousal support [45] play an important role in family to work interference (FIW).

3. Is the WFC Still Relevant If Applied to the Case of Pakistan?

The objective of this section is to reflect on WFC and its applicability in the context of Pakistan. The latter is treated here as a case-study in ‘Eastern’ collectivist society, a developing country undergoing a process of profound societal change. Considering the fact that the WFC was coined to allow examination of processes and developments specific to Western, individualistic societies in developed world, the question is to what extent and how WFC can be applied in context of Pakistan.
Social and economic structure of the eastern society is quite complex as compared to Western societies [46]. Powell et al. [16] acknowledged that work family literature lacks insights into societal and cultural factors shaping individuals’ experiences at the work-family interface. According to Hofstede [47] culture refers to “the collective programming of the human mind that distinguishes the members of one human group from those of another”. With strong family orientation and deeply rooted traditional family relations, Pakistani culture considered family as a nucleus and is considered as a source of contentment and peace in life. However, with the passage of time and the changing economy in terms of increasing inflation, people started realizing the need to share financial responsibilities by the participation of women in the workforce. However, changing trends in the work force did not bring much change to Pakistani women’s lives. That is, they still face culturally determined expectations and are expected to fulfill the traditional role of homemaker [48]. Pakistani women are still considered to be the only ones responsible for fulfilling the demands of children and family. In these circumstances, conflicts arise when the family, and especially the spouse, are not ready to cooperate in view of easing the burden endowed on women. This lack of readiness to support women results in strain among working women [46]. Therefore, it is important to address culturally related variables responsible for WFC. Moreover, literature [49] has suggested the fourth dimension of WFC, namely, psychologically based WFC. The latter depicts a situation of conflict that results from psychological preoccupation in one role domain, which then interferes with the ability to perform a role in another domain. Examples include being preoccupied or mentally distracted due to work responsibilities and thus underperforming at home, or conversely, being stressed or thinking about a sick child, thus undermining performance at work.
The nature of demands encountered in the work and family domains as well as the resources available in these domains in collectivistic cultures may be different from those in individualistic cultures. Hofstede et al. [50] noted that in collectivistic societies, individuals are expected to maintain harmonious relationships with extended family members. In Pakistan, there is a commitment to maintaining a long-term relationship to their extended families [51]. As such, family obligations often extend beyond responsibilities toward one’s own children and spouse; individuals often have financial and emotional obligations towards extended family relations [16]. Thus, extended family obligations may divert time and energy resources of employed parents in collectivistic societies. Literature suggests [52,53] that uneven or disproportionate domestic family duties and responsibilities are important factors that make it difficult for women to combine all their domestic responsibilities with their work life. A study conducted with Pakistani women reported that pressure from the employers and home roles put women under the burden of dual responsibilities, which resulted in mental, psychological, and emotional stress [54,55]. A study conducted with successful Pakistani professional women reported that participants had to work hard to balance their professional roles with the traditional demands of their culture, specifically their duties as wives and mothers [56,57]. Moreover, a similar study carried out with on Pakistani married female professionals concluded that working hours, inflexible schedule, high work demand, lack of spousal support and high family demands as contributing factor of WFC [58]. Furthermore, working women having younger children faced more distress over family issues and expressed more guilt for not giving proper time to their children, husbands, and family [58]. Moreover, a lack of social support, especially spousal support in the management of household responsibilities, could lead to FWC which further create stress and tension among working women [59].

4. How to Measure WFC in Context of Pakistan? Method and Methodology

Drawing on the discussion presented in the previous sections, this study makes a case for a culturally adjusted WFC sensitive to the specificities of Pakistan, i.e., a collectivist society in a developing country. To this end, in this section an indigenous scale to measure WFC, referred to as Work Family Conflict Strain Scale (WFCSS) is developed. The WFCSS is an indigenous tool designed to capture conflict that arises at the intersection of competing work and family obligations as experienced by married working women in Pakistan. The WFCSS is developed in Urdu language that has the suitable psychometric properties to account for nuanced, culturally-sensitive meanings.
The study consisted of four stages. In stage I, WFCSS items were generated through recommended combined method of inductive and deductive approaches [60]. In stage II, the exploratory factor analysis (EFA) was conducted on (N = 250) married working women aged ranged 25 to 60 years (M = 40.0, SD = 10.2). Using varimax rotation which yielded five factors (work interference with family, family interference with work, psychological spousal conflict, societal perception strain, and work strain) accounted for 60% of variance. In stage III, confirmatory factor analysis (CFA) was carried out to endorse the factors emerged through EFA. The CFA sample was consisted of an additional sample of married working women (N = 500) age ranged 25 to 60 years (M = 39.2, SD = 9.64) recruited through purposive sampling from Lahore city (Pakistan). Results of CFA showed a good fit with the data. The alpha coefficient for five factors ranged from 0.80 to 0.90 and 0.93 for the total WFCSS. In stage IV, the convergent (0.71) and discriminant validity (−0.64) was determined with the scores of psychological wellbeing and psychological distress subscales of Mental Health Inventory.

5. The Study and Its Results

5.1. Stage I—Item Generation of Work-Family Conflict Strain Scales (WFCSS) for Pakistani Women

The items were generated using an inductive as well as and deductive approach through relevant literature; five semi structured interviews; and three focus groups with working women, i.e., doctors, nurses, lecturers, schoolteachers, and bankers. Review of existing scales (see Appendix A) was conducted, and items relevant to Pakistan’s culture were highlighted. WFC factors are more or less similar among women globally. However, this study aimed to develop a more culturally sensitive scale. To this end, interviews were conducted and insights from focus groups were collected.
Informal interview protocol was prepared in coordination with the consultation of a psychology lecturer and psychologist to get in-depth, detailed, and comprehensive WFC variables. Semi structured interviews were carried out with five working women selected through purposive sampling strategy, with the age of respondents between 30 and 40 years (M = 34, SD = 3.4), working in a school, college, hospital or bank to elicit their experiences of WFC. The interviews were conducted in a one to one setting, and they were audiotaped with participant’s permission and transcribed later. Detailed probing was done to elicit maximum factors responsible for WFC in our culture. Similarly, three separate focus groups were conducted to reach to many participants at once and to get a rich source of information from working women in different professions. Using purposive sampling, the first focus group was comprised of female teachers (N = 3) aged between 30 and 40 years (M = 33, SD = 1.2) working in the banking sector. The second focus group comprised of four women working in hospital, two doctors and two nurses aged between 25 and 60 years (M = 33, SD = 3.4). The third focus group was comprised of three working women from the school and university sector aged between 30 and 40 years (M = 34, SD = 1.0). Participants were encouraged to share their experiences of work family interaction in terms of work, family, and cultural antecedents and how conflict among these affects their health. A prior permission and written consent were taken for audiotaping the discussion; afterwards, that discussion was transcribed, and relevant information was extracted. In order to retain the most appropriate items for scale, 40 statements were grouped together for endorsements from five experts to established content validity.

5.1.1. Empirical Validation through Experts

In this step, content validity of WFCSS was established by approaching four experts (two psychologists and two social workers) having at least three years of professional experience. Content validity is the extent to which it is pertinent to construct the instrument [61]. Experts were asked to rate each item in terms of relevance to its construction, clarity, and readability on a 4 point rating scale ranging from 1 = Not relevant to 4 = Most highly relevant with the construct.
Expert rating served as basis to establish the content validity index (CVI) (Table 1). According to research findings, when the number of experts is equal to 5 or less, CVI should be not be less than 1 [62]. In order to calculate each item CVI (I-CVI) index, the rule of thumb is dividing the number of agreements by the total number of experts. The scale Content Validity Index (S-CVI) “Scale CVI = Total Item CVIs/Total No. of items”. The WFCSS scale content validity is calculated as follows: S-CVI = 0.32/40 = 0.80.
According to [62,63], acceptable criteria of S-CVI is 0.80 and above. Thus, indigenous WFCSS has acceptable scale content validity. The chosen items were closely scrutinized for their content as well. Suggestions from the participants on wording were incorporated, and rephrasing was done before presenting them in the final version of the questionnaire having 32 items.

5.1.2. Pilot Study

In order to determine the clarity and level of difficulty of WFCSS, a pilot study was carried out. Purposive sampling strategy was employed on (N = 30) working women in different professions with ages ranging between 25 and 60 years (M = 34, SD = 7.3). They were encouraged to report any ambiguity in understanding of items. However, none of them reported any ambiguity in terms of understanding the items content, and 32 items were listed for further analysis.

5.2. Stage II—Factor Structure, Construct Validity and Internal Consistency of the Scale

In Stage II, factor analysis was followed by a pilot study, which revealed no ambiguity in terms of items understandability and comprehensibility. To establish construct validity of the current scale, exploratory factor analysis (EFA) was carried out using Varimax rotation. An independent sample was taken through purposive sampling strategy (N = 250), and sample size was decided according to recommended criteria of at least five participants per item [64]. Sample comprised of working women from different professions (school, universities, hospitals, and banking) aged between 25 and 60 years (M = 40.0, SD = 10.2) The majority of women were from the medical profession (37%) and the school sector (37%), whereas 22% belonged to higher education and 4% to the banking sector. Women facing challenges such as separation, divorce, and infertility were not included in the sample.

5.2.1. Procedure

Permission from concerned authorities (schools, hospitals, banks, and universities) were taken prior to administrating the present protocol. Adequate information regarding the purpose of the study was commutated and written consent was taken from the participants. Furthermore, instructions regarding filling the scale were clearly mentioned in writing as well as verbally. The confidentiality of information was assured, and completion of scale was followed by thanking the participants for their time and cooperation.

5.2.2. Results

EFA was run after examining the factor analysis assumptions. The varimax rotation method was used to extract Principal components. Analysis generated 5 mutually inclusive factors showing eigenvalue greater than 1 (see Table 2). All factors were clear, well defined, and selected on the basis of theoretical assumptions along with screen plot, and eigenvalue greater than 1.0. Moreover, significant amount of variance (60%) was accounted for 5 factors. Factor 1 comprised of seven items related to family variables’ interference with work domain (responsibilities, children, unpleasant/tension at home); therefore, it was labeled as “family interference with work (FIW)”. The items no. 9, 10, 11, 17, 18, 26, and 27 showed loadings on the first factor and explained 38% of the variance (Appendix B). Factor 2 comprised seven items related to work variables that interfere with the family domain (nature, time, responsibilities, etc.), and was therefore labeled as “work interference with family” (WIF). Items no. 1, 2, 3, 4, 19, 20, and 21) loaded on this factor and accounted for 7.65% of variance. Factor 3 comprised of six items (14, 15, 16, 28, 29, and 30) related to spousal conflict over managing work and family responsibilities encounter by working women which cause psychological strain on women (e.g., lack of appreciation, criticism for being an irresponsible wife, etc.) This factor was labeled as “psychological strain due to spouse” (PSS), which accounted for 5.54% of variance. Factor 4 composed of six items (5, 6, 7, 8, 12, and 13) related to societal perception and expectations from working women that cause strain in addition to WFC (e.g., eldercare, expected guests, traditional expectations etc.) Therefore, this factor was labeled “psychological strain due to societal perception strain” (PSSP) and accounted for 5.18% of variance. Factor 5 comprised six items (22, 23, 24, 25, 31, and 32) related to strain caused by work domain (e.g., bringing assignments home, senior attitudes, unequal distribution of work responsibilities, etc.), which cause additional strain on working women. Therefore, the fifth factor was labeled “psychological strain due to work” (PSW) which accounted for 4.38% of variance.
Table 3 showed that WFCSS is internally consistent measure, as all the subscales of WFCSS showed positive correlation with other and above all with total scores of WFCSS.

5.3. Stage III-Confirmatory Analysis

5.3.1. Sample

Using purposive sampling strategy, an additional (N = 500) working women aged between 25 and 60 years (M = 39.2, SD = 9.64) were approached from different institutions and organizations (i.e., 3 schools, 3 colleges/universities, 3 hospitals, and 2 banks) where the majority of women participants could be found. Only married working women with at least one child were included in the sample.

5.3.2. Instrument

Work family conflict strain scale (WFCSS) developed in Stage I was used. The scale comprised five subscales named family interference in work, work interference with family, psychological strain due to spouse, psychological strain due to societal perception, and psychological strain due to work.

5.3.3. Procedure

Before administering the indigenously developed WCSS, permissions were taken from all institutions and organizations by explicitly communicating the purpose of the study. In the following step, the participants were informed about the scope and objectives of the research. Then participants were requested to fill the consent forms. The confidentiality of their personal details was assured. The completion of the questionnaire was followed by thanking the participants for their time and cooperation. A total of 650 questionnaires were distributed from which 550 questionnaires were returned. Among them, 50 forms were incomplete, while the rest of 500 questionnaires were retained for the CFA.

5.3.4. Results

In order to confirm the measurement model of WFCSS, confirmatory factor analysis was conducted. Furthermore, AMOS-21 was used to confirm the factors retained in the EFA. CFA showed a good fit to the data with Chi square = 1085.072, df = 485, p = 0.000, RMSEA = 0.050, CFI = 0.91, TLI = 0.90, and GFI = 0.93. In CFA, chi square value is recommended non-significant, but in a larger sample, it is usually significant. Therefore, it is generally recommended to divide the chi square by degree of freedom, and it should be less than 3, which represents a good model fit [65]. In the current CFA, chi square value is divided by degree of freedom yield 2.23, which is within recommended limit.

5.4. Stage IV—Convergent and Discriminant Validity

To further establish psychometric properties of the indigenously developed WFCSS, convergent and discriminant validities were assessed.

5.4.1. Sample

An additional sample of (N = 50) working women aged 25 to 60 years (M = 39.6, SD = 9.16) were approached through purposive sampling from different professions.

5.4.2. Instrument

Work Family Conflict Strain Scale for Pakistani Women (WFCSS)

Work Family Conflict Strain Scale for Pakistani Women was developed in Stage I of the current research. It is a 32-item, 7-point rating scale ranging from 1 (strongly disagreed) to 7 (strongly agreed). It comprises five subscales and has alpha Coefficient 0.93 (see Appendix B).

Mental Health Inventory (MHI)

Mental health inventory developed by Veit and Ware [66], Urdu version [67], was used to establish the convergent and discriminant validity. MHI is a 38-item inventory having a 6-point rating scale where all of the time is rated as 1 and none of the time as 6. MHI has two global scales, viz., psychological well-being and psychological distress. As WFCSS measures the strain and psychological stress encountered by the working women in balancing the work and family responsibilities, MHI was used for convergent and discriminant validity.

Psychological Distress Subscale

Psychological distress subscale of MHI [67] was used for convergent validity. Psychological Distress, which elucidates negative mental health condition, comprised 24 items, having 6-point rating format and scores ranging from 22 to 132. Moreover, the alpha coefficient of the psychological distress subscale is (α = 0.94). The hypothesis was that a positive association between WFCSS and psychological distress subscale of MHI exists. Furthermore, it was assumed that the correlation between the latent constructs of two scales was close or equal to the value of 1.00.

Psychological Wellbeing Subscale

Psychological well-being subscale of MHI [67] was used for discriminant validity. Psychological well-being elucidates positive mental health status, which measures emotional stability and life satisfaction. It comprised 14 items and scores ranging from 16 to 96. Overall alpha coefficient of psychological wellbeing is (α = 0.90). The hypothesis was that a negative association between WFCSS and psychological wellbeing subscale of MHI exists. Moreover, it was assumed that the correlation between the latent constructs of two scales was less close to 1.00.

5.4.3. Procedure

The same procedural protocol used in Phase II and III was followed for validation study as well. WFCSS, along with psychological distress and psychological wellbeing subscales of MHI, was administered on the 50 working women. It took 12 to 18 minutes to complete the questionnaire protocol, and participants were acknowledged for their time and effort. To establish the convergent and discriminant validity, correlation analysis was calculated between WFCSS and MHI.

5.4.4. Results

In order to established convergent validity, positive correlation between WFCSS and psychological distress subscale of MHI was hypothesized. Using Pearson correlation findings revealed that total, and all subscales of MWFCC had positive significant correlation with psychological distress subscale. Similarly, for discriminant validity, negative correlation between WFCSS and psychological wellbeing subscale of MHI was hypothesized. Using Pearson correlation, findings revealed that total, and all subscales of MWFCC had negative significant correlation with psychological wellbeing subscale (see Table 4).

6. Discussion

Numerous scales have been developed to capture WFC and its related types but, to our best knowledge, none of them appropriately measure the underlying cultural expectations related to the position and role of women in so called Eastern societies. According to Hofstede’s cultural framework [46], Western societies practice individualism whereas collectivism is the most dominant culture of Pakistani society. Pakistani working women face multiple roles due to prevailing cultural expectations from them. They are not just an employee, a daughter, a wife, a mother but also a daughter in law, sister in law, etc. They are not only supposed to look after their children and spouse but also look after aging in-laws and other family members. Their responsibilities when compared to those of Western women are much broader, and consequently, their family-to-work conflict scenarios are very different from those in Western society. Therefore, keeping in view the dire need to have cultural coherent measure, the current study stepped forward to develop culturally appropriate and psychometrically sound scale capturing conflict and strain occurred due to interaction work and family related variables.
The present study yielded strong preliminary evidence for the validity and reliability of the WFCSS. The indigenously developed scale displayed a sound factorial structure, as well as satisfactory convergent, discriminant, and internal properties. The items for the WFCSS were thoroughly generated and tested through content and construct validity. EFA using varimax rotation method was executed, which yielded five distinctive factors having 32 items. The alpha coefficient of overall and five factors showed high internal consistency and significant inter correlations among factors (see Table 3).
To cross validate the EFA results, CFA was undertaken on an additional sample (N = 500). The final model depicts excellent fit indices (see Figure 1) having 32 items. Together, these results offer strong support for the five discrete meaningful factor structure of the WFCSS (family interference with work, work interference with family, psychological strain due to spouse, psychological strain due to societal perception strain, and psychological strain due to work). The coefficient alpha was used to check the internal consistency of each of the five factors, and reliability of each factor was over the level of acceptance of 0.70 [68,69].
Moreover, current study further highlights the convergent and discriminant validity of the indigenous WFCSS. As the current scale measures the conflict, and strain occurs as a result of interactions of work and family related variables mental health inventory was used which also measures distress and strain. The WFCSS total scores were correlated substantially with a psychological wellbeing and psychological distress subscales of mental health inventory. As hypothesized, positive meaningful associations were obtained among the subscale of the psychological distress subscale and WFCSS. Similarly, negative association was found among the psychological wellbeing subscale and WFCSS. These findings further supported that indigenously developed WFCSS has strong construct validity.

7. Limitations

Notwithstanding the cultural uniqueness of the current study, limitations exist. First, the sample was selected randomly. Accordingly, since purposive sampling method was used, the generalizability of findings may be somewhat limited. Secondly, the scale has been particularly devised keeping in view the married working women WFC scenario. This may limit the generalizability of the scale to single, divorced, widowed, or childless women. Future research should incorporate Western scale WFC dimensions in the indigenous WFCSS in order to have magnified perspective on antecedents and consequences of the WFC.

8. Conclusions and Recommendations

Against the backdrop of profound societal change taking place in several developing countries, the objective of this paper was to reflect on work-family conflict (WFC) as a concept and a social phenomenon. Considering that WFC is a concept rooted in an academic debate focusing on developments in Western, largely individualistic, societies, this paper reconsidered WFC’s value added as applied in a context of a developing country. The objective of this paper was threefold, i.e., (i) to assess WFC’s applicability in a context of a collectivist society in a developing country, where the position and role of women gradually changes; (ii) to develop a culturally-adjusted, sensitive scale to measure the scope of WFC in Pakistan, treated as a case study; and (iii) to reflect on the possibility of devising a set of good practices that would allow a smooth inclusion of women in the formal workforce while at the same time mitigating the scope and scale of WFC.
The findings of research presented in this paper suggest that regardless of the few limitations mentioned earlier, an indigenously developed WFCSS for Pakistani women is culturally coherent. It holds reliable construct validity, which in turn proves helpful in assessing the effects of WFC comprehensively. WFCSS developed is a novel tool that has great application potential not only for researchers but also for experts, social workers, and human resource managers. This paper sought to highlight that developing countries follow a path of growth and development comparable, but not identical, to that of the developed economies. Therefore, a focus on and a thorough understanding of issues such as WFC in its nascent phase might allow to develop preventive measures. These might include measures, on the one hand, aimed at increasing the society’s awareness of the phenomenon and, on the other hand, introduction of incentives for employers to allow certain measures known for reducing the WFC [14,15,16,17]. More work needs to be done to develop a set of recommendations that might eventually feed into the decision-making process with a view to promoting policies and best practices aimed at mitigating WFC. Indeed, this is the scope of research our team embarked on already. In this vein, we plan to extend this work by, on the one hand incorporating more textual and non-textual data [70,71,72,73,74] and, on the other hand, by applying the findings in diverse contexts [75]. Apart from offering direct insights into respective policy considerations, these might then also be the useful in context of natural language processing models [76,77,78,79,80] and optimization techniques [81,82].

Author Contributions

M.A. conceived the idea; M.A., A.M. and A.V. planned the study, performed statistical analysis and drafted the manuscript. A.A. and R.N. edited analysis and critically revised the manuscript. A.V critically revised the manuscript and supervised the study. R.N. oversaw the project. All authors equally contributed to the submission of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The paper received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Principal measures of work-life conflict.
Table A1. Principal measures of work-life conflict.
ScourceMeasure
Burke, Weir, & DuWors, 1979General W-F (+ personal life)
Holahan & Gilbert, 1979 Role Conflict (job, conjugal, parental, personal in terms of self realization)
Boben & Viveros-Long, 1981W→F and F→W, time and strain
Kopelman, Greenhaus & Connolly, 1983W→F, time and strain
Wiley, 1987W→F, strain
Loerch, Russel, & Rush, 1989 W→F, behavior
Small & Riley, 1990 W→F, spillover
Gutek et al., 1991 W→F e F→W, time and strain
Rice et al., 1992 W→F, strain
Frone, Russel, & Cooper, 1992 W→F and F→L, time
Matsui, Ohsava & Onglatco, 1995 W→F, time and strain
Netemeyer et al., 1996W→F and F→W, time and strain
Stephens & Sommer, 1996 W→F, time, strain, and behavior
Carlson et al., 2000W→F e F→W time, strain and behavior
Source: Adapted from Colombo, L. [69].

Appendix B

The following items have been seen as common conflicts due to work-family interaction. Carefully read the items and circle any number of points 1 to 7 that closely applied to you over the past year.
Table A2. Work Family Conflict Strain Scale for Pakistani Women (Translated into English).
Table A2. Work Family Conflict Strain Scale for Pakistani Women (Translated into English).
Family Interference in work
1. Family related responsibilities keep me preoccupied during working (office) hours.
2. Thoughts about my children often distract my attention from work.
3. Despite extreme efforts, family responsibilities hinder my professional abilities.
4. Family responsibilities related to in-laws often get on my nerves to an extent that colleagues complain about my absent mindedness.
5. I often do not pay proper attention at work due to tension/unpleasantness at home.
6. During office hours, I often manage family responsibilities on phone (e.g., calling home/school, eldercare) due to which I feel distressed in front of others.
7. Family responsibilities holdback my professional progress.
Work interference in family
8. The nature of my job makes it difficult for me to spend time with my family.
9. My working hours (or work schedule) make it hard to spend sufficient time with family.
10. Due to job tasks, I often cannot fulfill my home responsibilities.
11. Responsibilities at work often make me feel physically drained to look after my family.
12. Job fatigue often creates stress between my husband and me.
13. Due to work commitments, I often ignore responsibilities towards in-laws, which results in tension between my husband and me.
14. I often ignore responsibilities towards my children while fulfilling job assignments.
Psychological strain due to spouse
Reason behind my psychological strain:
15. Husband criticism on giving priority to work over family responsibilities.
16. Being a working woman, husband often considers me an irresponsible wife.
17. Being a working woman, husband often complains about not giving sufficient time to in-laws.
18. An imbalance between work and family responsibilities often results in husband’s criticism on my management skills.
19. My husband ignores my financial needs because of my earnings.
20. Lack of appreciation from husband over efforts to balance work and family responsibilities.
Psychological Strain due to societal perception
In our Society—Reason behind my psychological strain:
21. Working hours of women are considered a source of recreation.
22. Despite affordability, often families do not arrange house help for working women, which causes psychological strain on women.
23. Looking after an older person is an added responsibility, which results in psychological discomfort.
24. Working women are considered inefficient at household chores.
25. Our society holds traditional expectations in household chores from working women.
26. Inviting guests on weekends without informing, often disturbs a week’s planning. This results in a psychological strain in working women.
Psychological strain due to work
27. My senior’s unrealistic attitude often makes me feel disturbed throughout the day.
28. Inequitable responsibilities at work often make me feel agitated at home.
29. Due to workload, I often get bitter with my colleagues, which results in mental disconcertment/distress.
30. Work responsibilities often instigate melancholy/gloominess.
31. Work related thoughts often keep me worried at home.
32. My attitude is often aggressive at home due to job responsibilities.

References

  1. Allen, T.D.; Herst, D.E.L.; Bruck, C.S.; Sutton, M. Consequences associated with work-to family conflict. J. Occup. Health Psychol. 2000, 5, 278–308. [Google Scholar] [CrossRef] [PubMed]
  2. Carvalho, V.S.; Chambel, M.J.; Neto, M.; Lopes, S. Does Work-Family Conflict Mediate the Associations of Job Characteristics with Employees’ Mental Health Among Men and Women? Front. Psychol. 2018, 9, 966. [Google Scholar] [CrossRef] [PubMed]
  3. Shockley, K.M.; Shen, W.; DeNunzio, M.M.; Arvan, M.L.; Knudsen, E.A. Disentangling the relationship between gender and work–family conflict: An integration of theoretical perspectives using meta-analytic methods. J. Appl. Psychol. 2017, 102, 1601–1635. [Google Scholar] [CrossRef] [PubMed]
  4. Soomro, A.; Breitenecker, R.; Shah, S. Relation of work-life balance, work-family conflict, and family-work conflict with the employee performance-moderating role of job satisfaction. S. Asian J. Bus. Stud. 2018, 7, 129–146. [Google Scholar] [CrossRef]
  5. Mansour, S.; Tremblay, D.-G. Work–family conflict/family–work conflict, job stress, burnout and intention to leave in the hotel industry in Quebec (Canada): Moderating role of need for family friendly practices as “resource passageways.”. Int. J. Hum. Resour. Manag. 2016, 29, 1–33. [Google Scholar] [CrossRef]
  6. Cohen, A.; Liani, E. Work-family conflict among female employees in Israeli hospitals. Pers. Rev. 2009, 38, 124–141. [Google Scholar] [CrossRef]
  7. Huffman, A.H.; Olson, K.; O’Gara, T.C., Jr.; King, E.B. Gender role beliefs and fathers’ work-family conflict. J. Manag. Psychol. 2014, 29, 774–793. [Google Scholar] [CrossRef]
  8. Nauman, S.; Zheng, C.; Naseer, S. Job insecurity and work–family conflict. Int. J. Confl. Manag. 2020. [Google Scholar] [CrossRef]
  9. King, E.B.; Huffman, A.H.; Peddie, C.I. LGBT Parents and the Workplace. In LGBT-Parent Families; Goldberg, A., Allen, K., Eds.; Springer: Berlin/Heidelberg, Germany, 2013. [Google Scholar]
  10. Languilaire, J.-C.E.; Carey, N. LGBT voices in work-life: A call for research and a research community. Community Work. Fam. 2017, 20, 1–13. [Google Scholar] [CrossRef] [Green Version]
  11. Chen, C.; Zhang, Z.; Jia, M. Effect of stretch goals on work–family conflict: Role of resource scarcity and employee paradox mindset. Chin. Manag. Stud. 2020. [CrossRef]
  12. Karatepe, O.M. The effects of work overload and work-family conflict on job embeddedness and job performance. Int. J. Contemp. Hosp. Manag. 2013, 25, 614–634. [Google Scholar] [CrossRef]
  13. Zhou, S.; Da, S.; Guo, H.; Zhang, X. Work–Family Conflict and Mental Health among Female Employees: A Sequential Mediation Model via Negative Affect and Perceived Stress. Front. Psychol. 2018, 9, 544. [Google Scholar] [CrossRef] [PubMed]
  14. Magnini, V.P. Understanding and Reducing Work-Family Conflict in the Hospitality Industry. J. Hum. Resour. Hosp. Tour. 2009, 8, 119–136. [Google Scholar] [CrossRef]
  15. Anjum, A.; Muazzam, A.; Manzoor, F.; Visvizi, A.; Nawaz, R. Mediating Bullying and Strain in Higher Education Institutions: The Case of Pakistan. Sustainability 2019, 11, 2244. [Google Scholar] [CrossRef] [Green Version]
  16. Powell, G.N.; Francesco, A.M.; Ling, Y. Toward culture-sensitive theories of the work-family interface. J. Organ. Behav. 2009, 30, 597–616. [Google Scholar] [CrossRef]
  17. Ahmad, A. Job, Family and Individual Factors as Predictors of Work-Family Conflict. J. Hum. Resour. Adult Learn. 2008, 4, 57–65. [Google Scholar]
  18. Visvizi, A.; Lytras, M.D.; Sarirete, A. Guest editorial. Int. J. Gend. Entrep. 2019, 11, 373–378. [Google Scholar] [CrossRef] [Green Version]
  19. Ejaz, B.; Muazzam, A.; Anjum, A.; Pollock, G.; Nawaz, R. Measuring the Scale and Scope of Social Anxiety among Students in Pakistani Higher Education Institutions: An Alternative Social Anxiety Scale. Sustainable 2020, 12, 2164. [Google Scholar] [CrossRef] [Green Version]
  20. Noor, N. Work-Family Conflict, Work- and Family-Role Salience, and Women’s Well-Being. J. Soc. Psychol. 2004, 144, 389–406. [Google Scholar] [CrossRef]
  21. Akkas, M.A.; Hossain, M.I.; Rhaman, S. Causes and Consequences of Work-Family Conflict (WFC) among the Female Employees in Bangladesh: An Empirical Study. J. Bus. Econ. 2015, 6, 2063–2071. [Google Scholar] [CrossRef]
  22. Kanter, R.M. Work and Family in the United States: A Critical Review and Agenda for Research and Policy. Fam. Bus. Rev. 1989, 2, 77–114. [Google Scholar] [CrossRef]
  23. Edwards, J.R.; Rothbard, N.P. Mechanisms Linking Work and Family: Clarifying the Relationship Between Work and Family Constructs. Acad. Manag. Rev. 2000, 25, 178–199. [Google Scholar] [CrossRef] [Green Version]
  24. Greenhaus, J.H.; Allen, T.D.; Spector, P.E. Health Consequences of Work–Family Conflict: The Dark Side of the Work–Family Interface. Health Consequences of Work–Family Conflict: The Dark Side of the Work–Family Interface. New Dev. Theor. Concept Approaches Job Stress 2005, 5, 61–98. [Google Scholar] [CrossRef]
  25. Rothbard, N.P. Enriching or Depleting? The Dynamics of Engagement in Work and Family Roles. Adm. Sci. Q. 2001, 46, 655. [Google Scholar] [CrossRef] [Green Version]
  26. Frone, M.R.; Russell, M.; Cooper, M.L. Antecedents and outcomes of work^family conflict: Testing a model of the work^family interface. J. Appl. Psychol. 1992, 77, 65–78. [Google Scholar] [CrossRef] [PubMed]
  27. Netemeyer, R.G.; Boles, J.S.; McMurrian, R. Development and validation of work-family conflict and family-work conflict scales. J. Appl. Psychol. 1996, 81, 400–410. [Google Scholar] [CrossRef]
  28. Goode, W.J. A Theory of Role Strain. Am. Sociol. Rev. 1960, 25, 483. [Google Scholar] [CrossRef]
  29. Kahn, R.L.; Wolfe, D.M.; Quinn, R.P.; Snoek, J.D.; Rosenthal, R.A. Organizational Stress: Studies in role conflict and ambiguity. In Organizational Stress: Studies in Role Conflict and Ambiguity; Wiley: New York, NY, USA, 1964. [Google Scholar]
  30. Marks, S.R. Multiple Roles and Role Strain: Some Notes on Human Energy, Time and Commitment. Am. Sociol. Rev. 1977, 42, 921–936. [Google Scholar] [CrossRef]
  31. Greenhaus, J.H.; Beutell, N.J. Sources of Conflict between Work and Family Roles. Acad. Manag. Rev. 1985, 10, 76–88. [Google Scholar] [CrossRef]
  32. Herman, J.B.; Gyllstrom, K.K. Working Men and Women: Inter- and Intra-Role Conflict. Psychol. Women Q. 1977, 1, 319–333. [Google Scholar] [CrossRef]
  33. Pleck, J.H. The Work-Family Role System. Soc. Probl. 1977, 24, 417–427. [Google Scholar] [CrossRef]
  34. Anjum, A.; Muazzam, A.; Manzoor, F.; Visvizi, A.; Pollock, G.; Nawaz, R. Measuring the Scale and Scope of Workplace Bullying: An Alternative Workplace Bullying Scale. Sustainability 2019, 11, 4634. [Google Scholar] [CrossRef] [Green Version]
  35. Malik, N.A.A.; Björkqvist, K.; Österman, K. Factors Associated with Occupational Stress among University Teachers in Pakistan and Finland. J. Educ. Health Community Psychol. 2017, 6. [Google Scholar] [CrossRef]
  36. Muazzam, A.; Mubeen, A.; Batool, S. Identification of stressors among female university teachers in Pakistan. Int. J. Educ. Enq. Reflect. 2017, 2, 72–87. [Google Scholar]
  37. Saher, N.; Matloob, T.; Tahreen, F.; Ali, S.S.; Sulim, G.H.A. Work-family conflict in Pakistan: Juggling of activities on personal values and commitments. Middle East J. Manag. 2013, 1, 28. [Google Scholar] [CrossRef]
  38. Rehman, R.R.; Waheed, A. work-family conflict and Organizational commitment: Study of Faculty members in Pakistani Universities. Pak. J. Soc. Clin. Psychol. 2012, 10, 23–26. [Google Scholar]
  39. Kazmi, R.; Muazzam, A. Development and Validation of Adjustment problem scale for college /University students. Pak. J. Soc. Clin. Psychol. 2017, 15, 20–26. [Google Scholar]
  40. Mukarram, A.; Akbar, S.; Jan, Z.; Gul, A. Work-life conflict impact on female’s job performance: A study of primary level female school teachers in Pakistan. Eur. J. Bus. Manag. 2012, 4. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.734.7249&rep=rep1&type=pdf (accessed on 2 April 2020).
  41. Reskin, B.; Padavic, I. Woman and Men at Work; Pine Gorge Press: Thousand Oaks, CA, USA, 1994. [Google Scholar]
  42. Grzywacz, J.; Marks, N.F. Reconceptualizing the work-family interface: An ecological perspective on the correlates of positive and negative spillover between work and family. J. Occup. Health Psychol. 2000, 5, 111–126. [Google Scholar] [CrossRef]
  43. Pattanaik, J.; Worley, V.; De Guzman, M.; Das, A.; Das, D. Job Expectation, Adjustment, and Coping Mechanisms among Women in Two Police Forces in India. Evol. Polic. 2013, 205–218. [Google Scholar] [CrossRef]
  44. Aamir, N. The Plight of Working Mothers in PAKISTAN: Advantages and Disadvantages of Joint Family System; Asia Research Institute & Development of Sociology, National University of Singapore: Singapore, 2004. [Google Scholar]
  45. Erdwins, C.J.; Buffardi, L.C.; Casper, W.J.; O’Brien, A.S. The Relationship of Women’s Role Strain to Social Support, Role Satisfaction, and Self-Efficacy. Fam. Relat. 2001, 50, 230–238. [Google Scholar] [CrossRef]
  46. Kausar, G.; Anwar, D. Stress in Pakistani Working Women. J. Cult. Soc. Dev. 2015, 5. Available online: https://pdfs.semanticscholar.org/9589/e5e4a98b07bacd25bcfdbce5e5f2dd06ec41.pdf (accessed on 2 April 2020).
  47. Hofstede, G. Review Article: Geert Hofstede: Culture’s Consequences: International Differences in Work Related Values. Organ. Stud. 1983, 4, 390–391. [Google Scholar] [CrossRef]
  48. Mauzzam, A.; Qayyum, F. Experiences of Sexual Harassment: Interplay of Working Environment, Depression and Self-Esteem in Pakistani Women. Pak. J. Soc. Clin. Psychol. 2016, 14, 42–46. [Google Scholar]
  49. Carlson, D.S. Relation of behavioral and psychological involvement to a new four-factor conceptualization of work-family interference. J. Bus. Psychol. 2003, 17, 515–535. [Google Scholar] [CrossRef]
  50. Hofstede, G.; Hofstede, G.H.; Minkov, M. Cultures and Organization: Intercultural Corporation and its Importance for Survival, 3rd ed.; McGraw Hill: New York, NY, USA, 2010. [Google Scholar]
  51. Islam, N. Sifarish, Sycophants, Power and Collectivism: Administrative Culture in Pakistan. Int. Rev. Adm. Sci. 2004, 70, 311–330. [Google Scholar] [CrossRef]
  52. Cross, C.; Linehan, M. Barriers to advancing female careers in the high-tech sector: Empirical evidence from Ireland. Women Manag. Rev. 2006, 21, 28–39. [Google Scholar] [CrossRef]
  53. Matthew, V.R.; Panchanathan, N. An exploratory study on the work-life balance of women entrepreneurs in South India’. Asian Acad. Manag. J. 2011, 16, 77–105. [Google Scholar]
  54. Sadiq, R.; Ali, A.Z. Dual Responsibility: A Contributing Factor to Psychological Ill-being in Married Working Women. Acad. Res. Int. 2014, 5, 300–308. [Google Scholar]
  55. Shamim, A.; Muazzam, A. Positive Emotions and Compliance as Predictors in the Management of Type II Diabetes. Pak. J. Soc. Clin. Psychol. 2018, 16, 27–33. [Google Scholar]
  56. Haeri, S. No Shame for Sun: Lives of Professional Pakistani Women; Oxford University Press: Karachi, Pakistan, 2004. [Google Scholar]
  57. Jalil, T.; Muazzam, A. Emotional intelligence and martial adjustment in fertile & infertile couples. Int. J. Psychol. Res. 2013, 2, 45–58. [Google Scholar]
  58. Khursheed, A.; Mustafa, F.; Arshad, I.; Gill, S. Work-Family Conflict among Married Female Professionals in Pakistan. Manag. Stud. Econ. Syst. (Mses) 2019, 4, 123–130. [Google Scholar]
  59. Ansari, S.A. Gender difference: Work and family conflicts and family-work conflicts. Pak. Bus. Rev. 2011, 13, 315–331. [Google Scholar]
  60. DeVellis, R.F. Scale Development: Theory and Applications, 2nd ed.; Sage Publications: Newbury Park, CA, USA, 2003. [Google Scholar]
  61. Haynes, S.N.; Richard, D.C.S.; Kubany, E.S. Content validity in psychological assessment: A functional approach to concepts and methods. Psychol. Assess. 1995, 7, 238–247. [Google Scholar] [CrossRef]
  62. Lynn, M.R. Determination and quantification of content validity. Nurs. Res. 1986, 35, 382–385. [Google Scholar] [CrossRef] [PubMed]
  63. Wynd, C.A.; Schmidt, B.; Schaefer, M.A. Two quantitative approaches for estimating content validity. West. J. Nurs. Res. 2003, 25, 508–518. [Google Scholar] [CrossRef]
  64. Bryman, A.; Cramer, D. Quantitative Data Analysis with SPSS for Windows; Routledge: London, UK, 1997. [Google Scholar]
  65. Hatcher, L. A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling, Cary, NC: The SAS Institute. Technometrics 1996, 38, 296. [Google Scholar]
  66. Veit, C.; Ware, J. The structure of psychological distress and well-being in general populations. J. Consult. Clin. Psychol. 1983, 51, 730–742. [Google Scholar] [CrossRef]
  67. Khan, M.; Hanif, R.; Tariq, N. Translation and Validation of Mental Health Inventory. Pak. J. Psychol. Res. 2015, 30, 65–79. [Google Scholar]
  68. Nunnally, J.C. Psychometric Theory, 2nd ed.; McGraw-Hill: New York, NY, USA, 1978. [Google Scholar]
  69. Colombo, L.; Ghislieri, C. The work to family conflict: Theories and measures. TPM 2008, 15, 35–55. [Google Scholar]
  70. Hassan, S.-U.; Imran, M.; Iqbal, S.; Aljohani, N.R.; Nawaz, R. Deep context of citations using machine-learning models in scholarly full-text articles. Scientometrics 2018, 117, 1645–1662. [Google Scholar] [CrossRef]
  71. Thompson, P.; Nawaz, R.; McNaught, J.; Ananiadou, S. Enriching news events with meta-knowledge information. Lang. Resour. Eval. 2016, 51, 409–438. [Google Scholar] [CrossRef] [Green Version]
  72. Nawaz, R.; Thompson, P.; Ananiadou, S. Identification of Manner in Bio-Events; LREC: Baton Rouge, LA, USA, 2012; pp. 3505–3510. [Google Scholar]
  73. Ananiadou, S.; Thompson, P.; Nawaz, R. Enhancing search: Events and their discourse context. In Proceedings of the International Conference on Intelligent Text Processing and Computational Linguistics, Samos, Greece, 24–30 March 2013; pp. 318–334. [Google Scholar]
  74. Shardlow, M.; Batista-Navarro, R.; Thompson, P.; Nawaz, R.; McNaught, J.; Ananiadou, S. Identification of research hypotheses and new knowledge from scientific literature. Bmc Med. Inform. Decis. Mak. 2018, 18, 46. [Google Scholar] [CrossRef] [PubMed]
  75. Okulicz-Kozaryn, A. Happiness research for public policy and administration. Transforming Government: People. Process Policy 2016, 10, 196–211. [Google Scholar]
  76. Batista-Navarro, R.T.; Kontonatsios, G.; Mihăilă, C.; Thompson, P.; Rak, R.; Nawaz, R.; Korkontzelos, I.; Ananiadou, S. Facilitating the analysis of discourse phenomena in an interoperable NLP platform. In Proceedings of the International Conference on Intelligent Text Processing and Computational Linguistics, Samos, Greece, 24–30 March 2013; pp. 559–571. [Google Scholar]
  77. Wang, X.; Rak, R.; Restificar, A.; Nobata, C.; Rupp, C.J.; Batista-Navarro, R.T.; Nawaz, R.; Ananiadou, S. Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature. BMC Bioinform. 2011, 12, S11. [Google Scholar] [CrossRef] [Green Version]
  78. Nawaz, R.; Thompson, P.; McNaught, J.; Ananiadou, S. Meta-Knowledge Annotation of Bio-Events; LREC: Baton Rouge, LA, USA, 2010; pp. 2498–2507. [Google Scholar]
  79. Thompson, P.; Nawaz, R.; Korkontzelos, I.; Black, W.; McNaught, J.; Ananiadou, S. News search using discourse analytics. In Proceedings of the 2013 Digital Heritage International Congress (DigitalHeritage), Marseille, France, 28 October–1 November 2013. [Google Scholar]
  80. Nawaz, R.; Thompson, P.; Ananiadou, S. Negated bio-events: Analysis and identification. BMC Bioinform. 2013, 14, 14. [Google Scholar] [CrossRef] [Green Version]
  81. Anwaar, F.; Iltaf, N.; Afzal, H.; Nawaz, R. HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items. J. Comput. Sci. 2018, 29, 9–18. [Google Scholar] [CrossRef]
  82. Ayyaz, S.; Qamar, U.; Nawaz, R. HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence. PLoS ONE 2018, 13, e0204849. [Google Scholar] [CrossRef] [Green Version]
Figure 1. WFCSS Final Model.
Figure 1. WFCSS Final Model.
Sustainability 12 02861 g001
Table 1. Experts (E) ratings, No. of agreements and I-CVIs for Work Family Conflict Strain Scale (WFCSS) for Pakistani women.
Table 1. Experts (E) ratings, No. of agreements and I-CVIs for Work Family Conflict Strain Scale (WFCSS) for Pakistani women.
Sr#E1E2E3E4E5# of AgreementsI-CVI
14344451
24444451
34444451
43444451
54243451
64433351
74444451
83444451
94334351
103434451
114444451
123443451
134344351
143344351
153333351
162233330.60
174433451
184444451
194434451
203344451
214444451
224444451
23434444 1
24444445 1
25344444 1
263433331
27344345 1
28444345 1
29344345 1
30333345 1
31443445 1
32443345 1
333322330.60
34433445 1
35323323 0.60
36322333 0.60
37343323 0.60
382332330.60
393322230.60
404443420.40
Note: I-CVI below 1 is not incorporated for S-CVI.
Table 2. Factor loading of 32 items of WFCSS (N = 250).
Table 2. Factor loading of 32 items of WFCSS (N = 250).
Item12345Item Total Correlation
WIF1-0.740.20-0.100.30 **
WIF20.100.69---0.30 **
WIF30.130.76-0.120.140.50 **
WIF40.120.560.48-0.330.70 **
PSSP50.15-0.190.68-0.51 **
PSSP60.10--0.730.170.80 **
PSSP7--0.120.76-0.40 **
PSSP8--0.120.720.120.41 **
FIW90.660.260.160.130.330.52 **
FIW100.61-0.250.150.100.32 **
FIW110.65-0.140.130.200.61 **
PSSP12-0.16-0.73-0.60 **
PSSP13-0.130.130.69-0.58 **
PSS140.250.220.690.11-0.80 **
PSS15-0.190.770.250.200.51 **
PSS160.17-0.740.160.170.50 **
FIW170.72-0.18-0.320.62 **
FIW180.670.230.170.170.230.80 **
WIF190.120.62--0.270.53 **
WIF200.170.51-0.12-0.70 **
WIF210.300.690.28-0.460.70 **
PSW220.240.220.140.150.650.43 **
PSW230.300.110.180.120.650.60 **
PSW240.350.210.30-0.620.61 **
PSW250.290.370.210.140.650.32 **
FIW260.720.110.25--0.42 **
FIW270.740.130.27-0.190.61 **
PSS280.270.320.630.16-0.30 **
PSS290.190.120.690.11-0.50 **
PSS300.190.240.760.170.130.63 **
PSW310.220.13-0.180.690.30 **
PSW320.440.400.16-0.710.44 **
** p < 0.01 Note. Items less than 0.40 loading were excluded.
Table 3. Alpha coefficient, inter-correlations for five subscales, and total scores of work family conflict strain scale (N = 250).
Table 3. Alpha coefficient, inter-correlations for five subscales, and total scores of work family conflict strain scale (N = 250).
Factors123456α
1. FIW-0.52 **0.53 **0.30 **0.62 **0.81 **0.90
2. WIF--0.50 **0.30 **0.74 **0.83 **0.83
3. PSS---0.50 **0.60 **0.81 **0.87
4. PSSP----0.40 **0.64 **0.85
5. PSW-----0.82 **0.82
6. WFCSS TOTAL------0.93
** p < 0.01 Note. FIW = family interferences with work, WIF = work interference with family, PSS = psychological strain due to spouse, PSSP = psychological strain due to societal perception, PSW = psychological strain due to work.
Table 4. Correlation matrix for the work family conflict stress strain (WFCSS), mental health inventory (MHI)-psychological distress and MHI-psychological wellbeing.
Table 4. Correlation matrix for the work family conflict stress strain (WFCSS), mental health inventory (MHI)-psychological distress and MHI-psychological wellbeing.
Sr. no.Scales123
1WFCSS Total-0.71 **−0.64 **
2MHI-Psychological Distress
3MHI-Psychological Wellbeing
** p < 0.01 Note. Work family conflict stress strain for Pakistani women (WFCSS).

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Ahmad, M.; Muazzam, A.; Anjum, A.; Visvizi, A.; Nawaz, R. Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country. Sustainability 2020, 12, 2861. https://0-doi-org.brum.beds.ac.uk/10.3390/su12072861

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Ahmad M, Muazzam A, Anjum A, Visvizi A, Nawaz R. Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country. Sustainability. 2020; 12(7):2861. https://0-doi-org.brum.beds.ac.uk/10.3390/su12072861

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Ahmad, Mahira, Amina Muazzam, Ambreen Anjum, Anna Visvizi, and Raheel Nawaz. 2020. "Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country" Sustainability 12, no. 7: 2861. https://0-doi-org.brum.beds.ac.uk/10.3390/su12072861

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