SlideShare a Scribd company logo
1 of 18
Work from Home
Feasibility, Impact and Outcome
Presented by:
Munjani Paresh
MBA (2019-21)
B.K. School of Management
Introduction
• With almost one third of the world on a lockdown, the offices
have now rapidly shifted to working from home.
• This research work aimed at analyzing the sentiments and
emotions of the people towards WFH concept during COVID-
19.
• Its feasibility for future and impact it has on employees.
Impact it has on
motivation and
performance levels
Analyzing the sentiments
and emotions towards
work-from-home
concept
Can it be
“New Normal”
Is it as effective as
being in office?
Objective of the Research
Research Methodology
• Data Collection
• Research Approach
• Sampling Design
• Sample Size - 115
• Data Analysis Tools/ Techniques
• Limitation of the research
Demographics Variable Category Frequency Percentage
Gender
Male 70 60.9
Female 45 39.1
Prefer not to say 0 0
Total 115 100
Age
18-30 87 75.7
30-45 25 21.7
45-60 3 2.6
More than 60 0 0
Total 115 100
Education Qualification
Less than SSC 0 0
SSC 2 1.7
HSC 3 2.6
Graduation 73 63.5
Post-graduation 37 32.2
Total 115 100
Frequency Distribution of Demographic Attributes
Field/Sector of Employees
Respondents Working from Home
during Pandemic
Respondents
missing
the
office
WFH
Availability of Dedicated Workspace Respondents missing the office
Respondents Who Worked from Prior To COVID 19 Respondents Working from Home during Pandemic
Factors that affect while working from home
12
6
7
13
13
32
33
44
52
21
21
22
21
16
19
40
48
35
32
52
10
6
8
2
10
0 20 40 60 80 100
Established Good Work Routine
More Productive than Office
Easy to Contibute in Team Meetings
Have All Equipment for WFH
Easy than being in Office
Agreement on Different Factor
Strongly Agree Agree Not Sure Disagree Strongly Disagree
Experience of Work from Home
17
11
15
10
16
34
38
39
35
45
21
36
30
38
28
36
27
26
29
23
7
3
5
3
3
5 25 45 65 85 105
Communication with Colleague
Comfort level than being in Office
To be Productive
Overall Experince of WFH
Keeping up with the Schedule
Very Uncomfortable Uncomfortable Neutral Comfortable Very Comfortable
Respondents willing to WFH after the Pandemic
Particular Result Cal – sig Decision
Gender with establishing
Good work routine during WFH
0.175 > 0.05 H0 not Rejected
Gender and productivity during WFH 0.027 < 0.05 H0 Rejected
Gender and their ability to contribute in team meetings
during WFH
0.062 > 0.05 H0 not Rejected
Gender and their comfort level during WFH 0.158 > 0.05 H0 not Rejected
Gender and their satisfaction while WFH 0.031 < 0.05 H0 Rejected
Gender and keep up with the schedule during WFH
0.009 < 0.05 H0 Rejected
Gender and their ability to return to office considering
dependent vulnerable
0.008 < 0.05 H0 Rejected
Gender and missing the office during WFH 0.155 > 0.05 H0 not Rejected
Gender and willingness to WFH after the pandemic.
0.023 < 0.05 H0 Rejected
t-Test – Gender and various factors
Inferential Analysis
ANOVA (F test) - With Age and various factors
Dimension F Cal. Sig. Decision
Establishment of good work routine
during WFH
1.364 0.260 > 0.05 H0 not Rejected
Ability to contribute in team meetings. 4.796 0.010 < 0.05 H0 Rejected
Comfortable with WFH 2.453 0.091 > 0.05 H0 not Rejected
Ability to keeping up with the
schedule
0.849 0.431 > 0.05 H0 not Rejected
Vulnerable dependents that would
affect their return to office
14.679 0.000 < 0.05 H0 Rejected
WFH after the Pandemic 1.179 0.311 > 0.05 H0 not Rejected
Chi-square Test
Chi-Square Tests
Value df Asymptotic Significance
(2-sided)
Pearson Chi-Square 10.145a 2 .006
Likelihood Ratio 10.109 2 .006
Linear-by-Linear Association 6.857 1 .009
N of Valid Cases 115
Findings: P value 0.006 < 0.05, So H0 Rejected
Hypothesis
H0: There is no association between respondents with different Gender and dependency that would
affect them to return back to office.
H1: There is association between respondents with different Gender and dependency that would affect
them to return back to office.
Hypothesis
H0: There is no association between respondents with different field of work and prior WFH experience.
H1: There is association between respondents with different field of work and prior WFH experience.
Chi-Square Tests
Value df Asymptotic Significance
(2-sided)
Pearson Chi-Square 35.758a 20 .016
Likelihood Ratio 42.186 20 .003
Linear-by-Linear Association 10.378 1 .001
N of Valid Cases 115
Findings: P value 0.016 < 0.05, So H0 Rejected
Findings
• Nearly 76% of respondents are assigned WFH. 58% of respondents never worked
from home prior to COVID 19 while 29.50% of respondents worked occasionally and
12% regularly worked from home before the pandemic.
• Significant association between different field of work and prior WFH experience.
• 41% of respondents experienced less productivity than being in office. 35% of
respondents were not able to establish a good work routine.
• 80% of respondents miss their office and office work culture while working at home.
Findings
• 51% of respondents not willing to work from home after the pandemic while 24% of
respondents are uncertain about it.
• Significant difference with gender and their productivity, Satisfaction with WFH,
Scheduling, return to office after pandemic and willingness to work from home after
the pandemic.
• there is an association between respondents with different gender and dependents
(i.e. children, Family Members) that would affect them to return back to the office.
Conclusion
 Significant change in work habit and employees.
 Major factors that emerged from the study:
 Individual preferences vary
 Levels of comfortableness and productivity
 Work-Life Balance
 Isolation from the workplace and work culture
 Positives and negatives surrounding motivation, comfortableness, productivity,
work-life balance of employees working from home.
Thank You

More Related Content

Similar to Work from Home - Feasibility, Impact, and Outcome

Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP, PUNE.
Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP,  PUNE.Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP,  PUNE.
Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP, PUNE.AMIT ZAWARE
 
Organizational culture project presentation using SPSS analysis
Organizational culture project presentation using SPSS analysisOrganizational culture project presentation using SPSS analysis
Organizational culture project presentation using SPSS analysisJim George Kurian
 
Covid office habits survey final slideshare
Covid office habits survey final   slideshareCovid office habits survey final   slideshare
Covid office habits survey final slideshareRosanna Stimson
 
2011_Job_Satisfaction_Sruvey.pdf
2011_Job_Satisfaction_Sruvey.pdf2011_Job_Satisfaction_Sruvey.pdf
2011_Job_Satisfaction_Sruvey.pdfSonReburiano
 
140904 presentation cathelijn waaijer sti 2014 slideshare
140904 presentation cathelijn waaijer sti 2014 slideshare140904 presentation cathelijn waaijer sti 2014 slideshare
140904 presentation cathelijn waaijer sti 2014 slideshareCWaaijer
 
Science-Based Hiring: An Actionable Guide
Science-Based Hiring: An Actionable GuideScience-Based Hiring: An Actionable Guide
Science-Based Hiring: An Actionable GuideNatasha Ouslis
 
Ignorance and misinformation wreak havoc canac2011
Ignorance and misinformation wreak havoc canac2011Ignorance and misinformation wreak havoc canac2011
Ignorance and misinformation wreak havoc canac2011COCQ-SIDA
 
Summary & Critique Final
Summary & Critique FinalSummary & Critique Final
Summary & Critique FinalStaci Muraske
 
Bigby et atl qualty of staff practice in group homes what makes a differnce...
Bigby et atl qualty of staff practice in group homes   what makes a differnce...Bigby et atl qualty of staff practice in group homes   what makes a differnce...
Bigby et atl qualty of staff practice in group homes what makes a differnce...Christine Bigby
 
The Top 5 Realities Physicians Wish Recruiters Knew
The Top 5 Realities Physicians Wish Recruiters KnewThe Top 5 Realities Physicians Wish Recruiters Knew
The Top 5 Realities Physicians Wish Recruiters KnewPracticeMatch
 
Workplace, Work and Well-being: Joining the Dots by Bridget Juniper
Workplace, Work and Well-being: Joining the Dots by Bridget JuniperWorkplace, Work and Well-being: Joining the Dots by Bridget Juniper
Workplace, Work and Well-being: Joining the Dots by Bridget JuniperWorkplace Trends
 
19Workplace bullying and harassment, Dr. Prathap Tharyan
19Workplace bullying and harassment, Dr. Prathap Tharyan19Workplace bullying and harassment, Dr. Prathap Tharyan
19Workplace bullying and harassment, Dr. Prathap Tharyanohscmcvellore
 
Professor Peter Fonagy - CYP IAPT National Clinical Lead
Professor Peter Fonagy - CYP IAPT National Clinical LeadProfessor Peter Fonagy - CYP IAPT National Clinical Lead
Professor Peter Fonagy - CYP IAPT National Clinical LeadCYP MH
 

Similar to Work from Home - Feasibility, Impact, and Outcome (20)

SM.pptx
SM.pptxSM.pptx
SM.pptx
 
ms.pptx
ms.pptxms.pptx
ms.pptx
 
Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP, PUNE.
Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP,  PUNE.Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP,  PUNE.
Rm ppt on A STUDY OF WORK LIFE BALANCE OF GENERATION Y AT THYSSENKRUPP, PUNE.
 
Organizational culture project presentation using SPSS analysis
Organizational culture project presentation using SPSS analysisOrganizational culture project presentation using SPSS analysis
Organizational culture project presentation using SPSS analysis
 
Covid office habits survey final slideshare
Covid office habits survey final   slideshareCovid office habits survey final   slideshare
Covid office habits survey final slideshare
 
2011_Job_Satisfaction_Sruvey.pdf
2011_Job_Satisfaction_Sruvey.pdf2011_Job_Satisfaction_Sruvey.pdf
2011_Job_Satisfaction_Sruvey.pdf
 
Hypothesis testng
Hypothesis testngHypothesis testng
Hypothesis testng
 
140904 presentation cathelijn waaijer sti 2014 slideshare
140904 presentation cathelijn waaijer sti 2014 slideshare140904 presentation cathelijn waaijer sti 2014 slideshare
140904 presentation cathelijn waaijer sti 2014 slideshare
 
Financial wellness survey results
Financial wellness survey resultsFinancial wellness survey results
Financial wellness survey results
 
Portfolio.
Portfolio.Portfolio.
Portfolio.
 
Science-Based Hiring: An Actionable Guide
Science-Based Hiring: An Actionable GuideScience-Based Hiring: An Actionable Guide
Science-Based Hiring: An Actionable Guide
 
Ignorance and misinformation wreak havoc canac2011
Ignorance and misinformation wreak havoc canac2011Ignorance and misinformation wreak havoc canac2011
Ignorance and misinformation wreak havoc canac2011
 
Summary & Critique Final
Summary & Critique FinalSummary & Critique Final
Summary & Critique Final
 
Bigby et atl qualty of staff practice in group homes what makes a differnce...
Bigby et atl qualty of staff practice in group homes   what makes a differnce...Bigby et atl qualty of staff practice in group homes   what makes a differnce...
Bigby et atl qualty of staff practice in group homes what makes a differnce...
 
The Top 5 Realities Physicians Wish Recruiters Knew
The Top 5 Realities Physicians Wish Recruiters KnewThe Top 5 Realities Physicians Wish Recruiters Knew
The Top 5 Realities Physicians Wish Recruiters Knew
 
147390592005
147390592005147390592005
147390592005
 
Workplace, Work and Well-being: Joining the Dots by Bridget Juniper
Workplace, Work and Well-being: Joining the Dots by Bridget JuniperWorkplace, Work and Well-being: Joining the Dots by Bridget Juniper
Workplace, Work and Well-being: Joining the Dots by Bridget Juniper
 
19Workplace bullying and harassment, Dr. Prathap Tharyan
19Workplace bullying and harassment, Dr. Prathap Tharyan19Workplace bullying and harassment, Dr. Prathap Tharyan
19Workplace bullying and harassment, Dr. Prathap Tharyan
 
Work Life Balance of women
Work Life Balance of womenWork Life Balance of women
Work Life Balance of women
 
Professor Peter Fonagy - CYP IAPT National Clinical Lead
Professor Peter Fonagy - CYP IAPT National Clinical LeadProfessor Peter Fonagy - CYP IAPT National Clinical Lead
Professor Peter Fonagy - CYP IAPT National Clinical Lead
 

Recently uploaded

LPC Operations Review PowerPoint | Operations Review
LPC Operations Review PowerPoint | Operations ReviewLPC Operations Review PowerPoint | Operations Review
LPC Operations Review PowerPoint | Operations Reviewthomas851723
 
Day 0- Bootcamp Roadmap for PLC Bootcamp
Day 0- Bootcamp Roadmap for PLC BootcampDay 0- Bootcamp Roadmap for PLC Bootcamp
Day 0- Bootcamp Roadmap for PLC BootcampPLCLeadershipDevelop
 
CEO of Google, Sunder Pichai's biography
CEO of Google, Sunder Pichai's biographyCEO of Google, Sunder Pichai's biography
CEO of Google, Sunder Pichai's biographyHafizMuhammadAbdulla5
 
Fifteenth Finance Commission Presentation
Fifteenth Finance Commission PresentationFifteenth Finance Commission Presentation
Fifteenth Finance Commission Presentationmintusiprd
 
Reflecting, turning experience into insight
Reflecting, turning experience into insightReflecting, turning experience into insight
Reflecting, turning experience into insightWayne Abrahams
 
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual serviceanilsa9823
 
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...AgileNetwork
 
Board Diversity Initiaive Launch Presentation
Board Diversity Initiaive Launch PresentationBoard Diversity Initiaive Launch Presentation
Board Diversity Initiaive Launch Presentationcraig524401
 
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...Pooja Nehwal
 
LPC Warehouse Management System For Clients In The Business Sector
LPC Warehouse Management System For Clients In The Business SectorLPC Warehouse Management System For Clients In The Business Sector
LPC Warehouse Management System For Clients In The Business Sectorthomas851723
 
crisiscommunication-presentation in crisis management.pptx
crisiscommunication-presentation in crisis management.pptxcrisiscommunication-presentation in crisis management.pptx
crisiscommunication-presentation in crisis management.pptxSamahhassan30
 
VIP Kolkata Call Girl Rajarhat 👉 8250192130 Available With Room
VIP Kolkata Call Girl Rajarhat 👉 8250192130  Available With RoomVIP Kolkata Call Girl Rajarhat 👉 8250192130  Available With Room
VIP Kolkata Call Girl Rajarhat 👉 8250192130 Available With Roomdivyansh0kumar0
 
Introduction to LPC - Facility Design And Re-Engineering
Introduction to LPC - Facility Design And Re-EngineeringIntroduction to LPC - Facility Design And Re-Engineering
Introduction to LPC - Facility Design And Re-Engineeringthomas851723
 

Recently uploaded (17)

LPC Operations Review PowerPoint | Operations Review
LPC Operations Review PowerPoint | Operations ReviewLPC Operations Review PowerPoint | Operations Review
LPC Operations Review PowerPoint | Operations Review
 
Rohini Sector 16 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
Rohini Sector 16 Call Girls Delhi 9999965857 @Sabina Saikh No AdvanceRohini Sector 16 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
Rohini Sector 16 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
 
Day 0- Bootcamp Roadmap for PLC Bootcamp
Day 0- Bootcamp Roadmap for PLC BootcampDay 0- Bootcamp Roadmap for PLC Bootcamp
Day 0- Bootcamp Roadmap for PLC Bootcamp
 
CEO of Google, Sunder Pichai's biography
CEO of Google, Sunder Pichai's biographyCEO of Google, Sunder Pichai's biography
CEO of Google, Sunder Pichai's biography
 
Fifteenth Finance Commission Presentation
Fifteenth Finance Commission PresentationFifteenth Finance Commission Presentation
Fifteenth Finance Commission Presentation
 
Reflecting, turning experience into insight
Reflecting, turning experience into insightReflecting, turning experience into insight
Reflecting, turning experience into insight
 
Becoming an Inclusive Leader - Bernadette Thompson
Becoming an Inclusive Leader - Bernadette ThompsonBecoming an Inclusive Leader - Bernadette Thompson
Becoming an Inclusive Leader - Bernadette Thompson
 
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Charbagh Lucknow best sexual service
 
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...
ANIn Gurugram April 2024 |Can Agile and AI work together? by Pramodkumar Shri...
 
Board Diversity Initiaive Launch Presentation
Board Diversity Initiaive Launch PresentationBoard Diversity Initiaive Launch Presentation
Board Diversity Initiaive Launch Presentation
 
Call Girls Service Tilak Nagar @9999965857 Delhi 🫦 No Advance VVIP 🍎 SERVICE
Call Girls Service Tilak Nagar @9999965857 Delhi 🫦 No Advance  VVIP 🍎 SERVICECall Girls Service Tilak Nagar @9999965857 Delhi 🫦 No Advance  VVIP 🍎 SERVICE
Call Girls Service Tilak Nagar @9999965857 Delhi 🫦 No Advance VVIP 🍎 SERVICE
 
sauth delhi call girls in Defence Colony🔝 9953056974 🔝 escort Service
sauth delhi call girls in Defence Colony🔝 9953056974 🔝 escort Servicesauth delhi call girls in Defence Colony🔝 9953056974 🔝 escort Service
sauth delhi call girls in Defence Colony🔝 9953056974 🔝 escort Service
 
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...
Pooja Mehta 9167673311, Trusted Call Girls In NAVI MUMBAI Cash On Payment , V...
 
LPC Warehouse Management System For Clients In The Business Sector
LPC Warehouse Management System For Clients In The Business SectorLPC Warehouse Management System For Clients In The Business Sector
LPC Warehouse Management System For Clients In The Business Sector
 
crisiscommunication-presentation in crisis management.pptx
crisiscommunication-presentation in crisis management.pptxcrisiscommunication-presentation in crisis management.pptx
crisiscommunication-presentation in crisis management.pptx
 
VIP Kolkata Call Girl Rajarhat 👉 8250192130 Available With Room
VIP Kolkata Call Girl Rajarhat 👉 8250192130  Available With RoomVIP Kolkata Call Girl Rajarhat 👉 8250192130  Available With Room
VIP Kolkata Call Girl Rajarhat 👉 8250192130 Available With Room
 
Introduction to LPC - Facility Design And Re-Engineering
Introduction to LPC - Facility Design And Re-EngineeringIntroduction to LPC - Facility Design And Re-Engineering
Introduction to LPC - Facility Design And Re-Engineering
 

Work from Home - Feasibility, Impact, and Outcome

  • 1. Work from Home Feasibility, Impact and Outcome Presented by: Munjani Paresh MBA (2019-21) B.K. School of Management
  • 2. Introduction • With almost one third of the world on a lockdown, the offices have now rapidly shifted to working from home. • This research work aimed at analyzing the sentiments and emotions of the people towards WFH concept during COVID- 19. • Its feasibility for future and impact it has on employees.
  • 3. Impact it has on motivation and performance levels Analyzing the sentiments and emotions towards work-from-home concept Can it be “New Normal” Is it as effective as being in office? Objective of the Research
  • 4. Research Methodology • Data Collection • Research Approach • Sampling Design • Sample Size - 115 • Data Analysis Tools/ Techniques • Limitation of the research
  • 5. Demographics Variable Category Frequency Percentage Gender Male 70 60.9 Female 45 39.1 Prefer not to say 0 0 Total 115 100 Age 18-30 87 75.7 30-45 25 21.7 45-60 3 2.6 More than 60 0 0 Total 115 100 Education Qualification Less than SSC 0 0 SSC 2 1.7 HSC 3 2.6 Graduation 73 63.5 Post-graduation 37 32.2 Total 115 100 Frequency Distribution of Demographic Attributes
  • 7. Respondents Working from Home during Pandemic Respondents missing the office WFH Availability of Dedicated Workspace Respondents missing the office Respondents Who Worked from Prior To COVID 19 Respondents Working from Home during Pandemic
  • 8. Factors that affect while working from home 12 6 7 13 13 32 33 44 52 21 21 22 21 16 19 40 48 35 32 52 10 6 8 2 10 0 20 40 60 80 100 Established Good Work Routine More Productive than Office Easy to Contibute in Team Meetings Have All Equipment for WFH Easy than being in Office Agreement on Different Factor Strongly Agree Agree Not Sure Disagree Strongly Disagree
  • 9. Experience of Work from Home 17 11 15 10 16 34 38 39 35 45 21 36 30 38 28 36 27 26 29 23 7 3 5 3 3 5 25 45 65 85 105 Communication with Colleague Comfort level than being in Office To be Productive Overall Experince of WFH Keeping up with the Schedule Very Uncomfortable Uncomfortable Neutral Comfortable Very Comfortable
  • 10. Respondents willing to WFH after the Pandemic
  • 11. Particular Result Cal – sig Decision Gender with establishing Good work routine during WFH 0.175 > 0.05 H0 not Rejected Gender and productivity during WFH 0.027 < 0.05 H0 Rejected Gender and their ability to contribute in team meetings during WFH 0.062 > 0.05 H0 not Rejected Gender and their comfort level during WFH 0.158 > 0.05 H0 not Rejected Gender and their satisfaction while WFH 0.031 < 0.05 H0 Rejected Gender and keep up with the schedule during WFH 0.009 < 0.05 H0 Rejected Gender and their ability to return to office considering dependent vulnerable 0.008 < 0.05 H0 Rejected Gender and missing the office during WFH 0.155 > 0.05 H0 not Rejected Gender and willingness to WFH after the pandemic. 0.023 < 0.05 H0 Rejected t-Test – Gender and various factors Inferential Analysis
  • 12. ANOVA (F test) - With Age and various factors Dimension F Cal. Sig. Decision Establishment of good work routine during WFH 1.364 0.260 > 0.05 H0 not Rejected Ability to contribute in team meetings. 4.796 0.010 < 0.05 H0 Rejected Comfortable with WFH 2.453 0.091 > 0.05 H0 not Rejected Ability to keeping up with the schedule 0.849 0.431 > 0.05 H0 not Rejected Vulnerable dependents that would affect their return to office 14.679 0.000 < 0.05 H0 Rejected WFH after the Pandemic 1.179 0.311 > 0.05 H0 not Rejected
  • 13. Chi-square Test Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 10.145a 2 .006 Likelihood Ratio 10.109 2 .006 Linear-by-Linear Association 6.857 1 .009 N of Valid Cases 115 Findings: P value 0.006 < 0.05, So H0 Rejected Hypothesis H0: There is no association between respondents with different Gender and dependency that would affect them to return back to office. H1: There is association between respondents with different Gender and dependency that would affect them to return back to office.
  • 14. Hypothesis H0: There is no association between respondents with different field of work and prior WFH experience. H1: There is association between respondents with different field of work and prior WFH experience. Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 35.758a 20 .016 Likelihood Ratio 42.186 20 .003 Linear-by-Linear Association 10.378 1 .001 N of Valid Cases 115 Findings: P value 0.016 < 0.05, So H0 Rejected
  • 15. Findings • Nearly 76% of respondents are assigned WFH. 58% of respondents never worked from home prior to COVID 19 while 29.50% of respondents worked occasionally and 12% regularly worked from home before the pandemic. • Significant association between different field of work and prior WFH experience. • 41% of respondents experienced less productivity than being in office. 35% of respondents were not able to establish a good work routine. • 80% of respondents miss their office and office work culture while working at home.
  • 16. Findings • 51% of respondents not willing to work from home after the pandemic while 24% of respondents are uncertain about it. • Significant difference with gender and their productivity, Satisfaction with WFH, Scheduling, return to office after pandemic and willingness to work from home after the pandemic. • there is an association between respondents with different gender and dependents (i.e. children, Family Members) that would affect them to return back to the office.
  • 17. Conclusion  Significant change in work habit and employees.  Major factors that emerged from the study:  Individual preferences vary  Levels of comfortableness and productivity  Work-Life Balance  Isolation from the workplace and work culture  Positives and negatives surrounding motivation, comfortableness, productivity, work-life balance of employees working from home.