{"title":"平衡工作、家庭和压力;使用nvivo -12对Covid-19大流行期间的职业妇女进行定性分析","authors":"S. Agarwal, Rekha Mewarfarosh","doi":"10.2174/2666082219666230816091032","DOIUrl":null,"url":null,"abstract":"\n\nThe world is struggling with the greatest health crisis for the last two and a half years and this has affected everyone''s life especially the working women. This paper is an endeavour to study the stress among working women working in various sectors amid this covid-19 pandemic. Constant juggling in different roles and responsibilities between kids, jobs, and domestic work has escalated the level of stress in their lives.\n\n\n\nThe condition of working women has worsened by bearing the heap of responsibilities of work, home, children, family, house, etc., which undoubtedly results in stress, frustration, and anger affecting the physical and mental health of women.\n\n\n\nThe authors have utilized qualitative data analysis techniques to address the issue with the help of computer-assisted qualitative data analysis software NVIVO. For analyzing the qualitative data, NVIVO 12 was used by applying the three tools Word Cloud Analysis, thematic analysis, and sentiments analysis.\n\n\n\n: For conducting the comprehensive study, a questionnaire was designed which consist of 14 questions excluding the demographic information namely Name, Age, Gender, Profession, Experience, etc. Questionnaires were floated to 60 working women under different job profiles. Convenience Sampling was used to collect the data. Out of a sample of 60, 50 women recorded their responses via Google Sheets, and 38 questionnaires were finally used for analysis.\n\n\n\nThe findings of the study show that working women are facing continuous challenges and are under stress due to multiple roles, responsibilities, and work demands since the onset of COVID-19. It is supported by Word Cloud Analysis, thematic analysis, and sentiments analysis. This qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.\n\n\n\nWomen are considered as nurturing sex and especially in patriarchal societies. The reflective insights of literature and result of this study shows that the society should provide the help hand to relieve the stress of working women by providing them support from their families (husband, parents, kids, and in-laws) and from work domain as well (Boss, colleague, and management). It this high time to create and cultivate an organizational culture that supports women employees to take advantage of working policies without any fear of penalty. Organization may have diversity and inclusion policies in practice, but the \"everyday behavior\" of employers reflects whether they actually believe in diversity or not. Supportive behaviour should initiate from homes by providing shoulders in household chores, caregiving and other domestic responsibilities. By promoting inclusive culture through flexible approach organizations can bring diversity at work place. This will help them to bloom sustainably; she will be able to manage both facets of her life gracefully.\n\n\n\nThis qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.\n","PeriodicalId":36711,"journal":{"name":"Current Psychiatry Research and Reviews","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Juggle between work, home, and stress; a qualitative analysis using NVIVO-12on working women during the Covid-19 pandemic\",\"authors\":\"S. Agarwal, Rekha Mewarfarosh\",\"doi\":\"10.2174/2666082219666230816091032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nThe world is struggling with the greatest health crisis for the last two and a half years and this has affected everyone''s life especially the working women. This paper is an endeavour to study the stress among working women working in various sectors amid this covid-19 pandemic. Constant juggling in different roles and responsibilities between kids, jobs, and domestic work has escalated the level of stress in their lives.\\n\\n\\n\\nThe condition of working women has worsened by bearing the heap of responsibilities of work, home, children, family, house, etc., which undoubtedly results in stress, frustration, and anger affecting the physical and mental health of women.\\n\\n\\n\\nThe authors have utilized qualitative data analysis techniques to address the issue with the help of computer-assisted qualitative data analysis software NVIVO. For analyzing the qualitative data, NVIVO 12 was used by applying the three tools Word Cloud Analysis, thematic analysis, and sentiments analysis.\\n\\n\\n\\n: For conducting the comprehensive study, a questionnaire was designed which consist of 14 questions excluding the demographic information namely Name, Age, Gender, Profession, Experience, etc. Questionnaires were floated to 60 working women under different job profiles. Convenience Sampling was used to collect the data. Out of a sample of 60, 50 women recorded their responses via Google Sheets, and 38 questionnaires were finally used for analysis.\\n\\n\\n\\nThe findings of the study show that working women are facing continuous challenges and are under stress due to multiple roles, responsibilities, and work demands since the onset of COVID-19. It is supported by Word Cloud Analysis, thematic analysis, and sentiments analysis. This qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.\\n\\n\\n\\nWomen are considered as nurturing sex and especially in patriarchal societies. The reflective insights of literature and result of this study shows that the society should provide the help hand to relieve the stress of working women by providing them support from their families (husband, parents, kids, and in-laws) and from work domain as well (Boss, colleague, and management). It this high time to create and cultivate an organizational culture that supports women employees to take advantage of working policies without any fear of penalty. Organization may have diversity and inclusion policies in practice, but the \\\"everyday behavior\\\" of employers reflects whether they actually believe in diversity or not. Supportive behaviour should initiate from homes by providing shoulders in household chores, caregiving and other domestic responsibilities. By promoting inclusive culture through flexible approach organizations can bring diversity at work place. This will help them to bloom sustainably; she will be able to manage both facets of her life gracefully.\\n\\n\\n\\nThis qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.\\n\",\"PeriodicalId\":36711,\"journal\":{\"name\":\"Current Psychiatry Research and Reviews\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Psychiatry Research and Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2666082219666230816091032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Psychiatry Research and Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2666082219666230816091032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Juggle between work, home, and stress; a qualitative analysis using NVIVO-12on working women during the Covid-19 pandemic
The world is struggling with the greatest health crisis for the last two and a half years and this has affected everyone''s life especially the working women. This paper is an endeavour to study the stress among working women working in various sectors amid this covid-19 pandemic. Constant juggling in different roles and responsibilities between kids, jobs, and domestic work has escalated the level of stress in their lives.
The condition of working women has worsened by bearing the heap of responsibilities of work, home, children, family, house, etc., which undoubtedly results in stress, frustration, and anger affecting the physical and mental health of women.
The authors have utilized qualitative data analysis techniques to address the issue with the help of computer-assisted qualitative data analysis software NVIVO. For analyzing the qualitative data, NVIVO 12 was used by applying the three tools Word Cloud Analysis, thematic analysis, and sentiments analysis.
: For conducting the comprehensive study, a questionnaire was designed which consist of 14 questions excluding the demographic information namely Name, Age, Gender, Profession, Experience, etc. Questionnaires were floated to 60 working women under different job profiles. Convenience Sampling was used to collect the data. Out of a sample of 60, 50 women recorded their responses via Google Sheets, and 38 questionnaires were finally used for analysis.
The findings of the study show that working women are facing continuous challenges and are under stress due to multiple roles, responsibilities, and work demands since the onset of COVID-19. It is supported by Word Cloud Analysis, thematic analysis, and sentiments analysis. This qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.
Women are considered as nurturing sex and especially in patriarchal societies. The reflective insights of literature and result of this study shows that the society should provide the help hand to relieve the stress of working women by providing them support from their families (husband, parents, kids, and in-laws) and from work domain as well (Boss, colleague, and management). It this high time to create and cultivate an organizational culture that supports women employees to take advantage of working policies without any fear of penalty. Organization may have diversity and inclusion policies in practice, but the "everyday behavior" of employers reflects whether they actually believe in diversity or not. Supportive behaviour should initiate from homes by providing shoulders in household chores, caregiving and other domestic responsibilities. By promoting inclusive culture through flexible approach organizations can bring diversity at work place. This will help them to bloom sustainably; she will be able to manage both facets of her life gracefully.
This qualitative study is a useful reflective on the challenges faced by working women due to work demand from personal and professional front. Authors have collected the data from women working in different sectors and utilized computer assisted qualitative data analysis techniques NVIVO to address this issue.