Seminar Paper-1 “New normal” not so normal : Overcoming Virtual Work Challenges Presented By : Shailly Vats Roll No. :- 23-HR-29 Mentored By : Mr. Ajay Tondon Masters in Human Resource Development
1. Primary Research 2. Formulation of Hypothesis 3. Data Analysis 4. Results 5. Secondary Research 6. Best Practices in Industry CONTENTS
Purpose This study explores the challenges and proposes solutions for virtual and networked organizations (VNOs) to adapt and create a more positive and productive work experience for this growing demographic. Data was collected from 70 respondents in Mumbai. This research employs a descriptive survey design to investigate the challenges faced by young professionals (18-35 years old) Project Project Approach/Methodology: Objectives Primary Research To identify the main challenges faced by young professionals (18-30 years old) working in virtual and networked organizations. To explore how these challenges impact communication, collaboration, and overall work experience. To investigate potential strategies for mitigating challenges and improving the work experience for young professionals in VNOs.
Formulation of Hypothesis: 1. Chi-Square Test: Communication and Collaboration Challenges Hypothesis: · Null Hypothesis (H0): There is no significant association between difficulty understanding tone/body language in virtual communication and experiencing challenges collaborating with colleagues. · Alternative Hypothesis (H1): There is a significant association between difficulty understanding tone/body language in virtual communication and experiencing challenges collaborating with colleagues. 2. Correlation Analysis: Work-Life Balance and Feeling Isolated Hypothesis: · Null Hypothesis (H0): There is no significant correlation between feeling connected to the team and experiencing feelings of isolation or loneliness while working virtually. · Alternative Hypothesis (H1): There is a significant negative correlation between feeling connected to the team and experiencing feelings of isolation or loneliness while working virtually. 3 . REGRESSION ANALYSIS: FACTORS AFFECTING VIRTU A L WORK PRODUCTIVITY Hypothesis: · Null Hypothesis (H0): A combination of factors, including work-life balance satisfaction, comfort seeking help, and technical difficulty frequency, does not significantly predict overall productivity in a virtual work environment. · Alternative Hypothesis (H1): A combination of factors, including work-life balance satisfaction, comfort seeking help, and technical difficulty frequency, will significantly predict overall productivity in a virtual work environment.
Data Analysis:
In this context, the chi-square test was used to determine the association between difficulty understanding tone/body language in virtual communication and experiencing challenges collaborating with colleagues. Rejection of H0: Since H0 is rejected, we conclude that there is a statistically significant association between the two variables. This means that the difficulty in understanding tone/body language in virtual communication is significantly related to the challenges experienced in collaborating with colleagues. Actions : Communication Training Collaboration Tools Policy Changes Hypothesis H 1
R-squared (0.083979236): This value indicates that approximately 8.4% of the variability in overall productivity can be explained by the independent variables (work-life balance satisfaction, comfort seeking help, and technical difficulty frequency). This is relatively low, suggesting other factors might be influencing productivity. Reject the Null Hypothesis (H0): Based on the significance F value (0.045994821), we reject the null hypothesis. Accept the Alternative Hypothesis (H1): The combination of factors does significantly predict overall productivity, supporting the alternative hypothesis. Hypothesis H2: Work-Life Balance and Feeling Isolated (Correlation Analysis) Based on the correlation coefficient of -0.08675: The relationship between feeling connected to the team and experiencing feelings of isolation or loneliness while working virtually is very weak. The direction of the relationship is negative, indicating that higher connection to the team is associated with slightly less feelings of isolation. Hypothesis H2: Regression Analysis: Factors Affecting Virtual Work Productivity
Remote Work Statistics And Trends In 2024 The top industry for remote workers in 2024 is computer and IT Computer and IT Marketing Accounting and Finance Project Management Medical and Health HR and Recruiting Customer Service An accountant was the most common remote job posting in 2022 Key Remote Work Statistics Remote Work by Industry and Occupation Remote Work by Demographics By 2025, 60 to 90 million Indians will work remotely by 2025 98% of workers want to work remotely at least some of the time 93% of employers plan to continue conducting job interviews remotely 16% of companies operate fully remote The highest percentage of remote workers are aged 24 to 35 A higher percentage of men work remotely than women Remote workers on average, earn around INR $19,000 more than in-office workers
Remote Work Preferences (Surveys, Sentiment, etc.) 60% of companies use monitoring software to track remote employees 73% of executives believe remote workers pose a greater security risk 32% of hybrid workers report they would take a pay cut to work remotely full-time 57% of workers would look for a new job if their current company didn’t allow remote work 35% of remote employees feel more productive when working fully remote 65% report wanting to work remotely all of the time 71% of remote workers said remote work helps balance their work and personal life 69% of remote workers report increased burnout from digital communication tools Research shows that employers can save $11,000 per employee when switching to remote work 53% of remote workers say it’s harder to feel connected to their coworkers Remote workers say that flexible hours are the top benefits of working remotely