Submitted:
28 June 2023
Posted:
29 June 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Impact of Teleworking
- Individual
- Organizational
- Social
1.2. Challenges to the implementation of telework
- Environmental: the economic uncertainty that accompanies the health crisis is a stressful factor, due to the fear of losing a job. Simultaneously, a technological change is taking place.
- Organizational: with the assumption of responsibilities, the work role of teleworkers is overloaded, while there is a lack of social support, space problems and distraction.
- Personal: this is the case of conflict of family-professional responsibilities.
- Physiological: e.g. headaches, high blood pressure, chronic diseases.
- Psychological: eg job dissatisfaction, depression, uncertainty about future prospects due to pandemic, insufficient conditions for well-being.
- Behavioral: e.g. nervousness, absenteeism.
- Exit.
- Voice.
- Loyalty.
- Neglect.
- Decreased productivity: as a result of low performance and deviant behavior at work due to lack of job satisfaction.
- Low degree of internal business communication/cooperation: given the work inclusion experienced in teleworking conditions, there is a high possibility of misunderstandings within the company and time delays.
- Poor services/products quality: as a consequence of the above problems such as low morale and the increase in the number of errors, the project provided may not meet the specifications of the company [98].
- Training: training in the form of seminars can help support and improve self-efficacy.
- Employee involvement: the employee must be involved in matters related to his/her job performance (eg making decisions or submitting proposals for improvements).
- Organizational communication: due to the isolation of the individual it would be useful to increase the formal organizational communication in order to properly manage issues and reduce stress.
- Leave and wellness programs: for exhausted employees, it is important to take leave for their rejuvenation and to have access to psychological support programs.
1.3. Telework and Sustainable Development
- No 3. Ensure healthy lives and promote well-being for all at all ages;
- No 4. Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all;
- No 5. Achieve gender equality and empower all women and girls;
- No 8. Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all;
- No 9. Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation;
- No 10. Reduce inequality within and among countries;
- No 11. Make cities and human settlements inclusive, safe, resilient and sustainable;
- No 12. Ensure sustainable consumption and production patterns;
- No 13. Take urgent action to combat climate change and its impacts.
1.4. Telework and the frame for sustainable behaviors
- No 1. End poverty in all its forms everywhere;
- No 2. End hunger, achieve food security and improved nutrition and promote sustainable agriculture;
- No 6. Ensure availability and sustainable management of water and sanitation for all;
- No 7. Ensure access to affordable, reliable, sustainable and modern energy for all;
- No 14. Conserve and sustainably use the oceans, seas and marine resources for sustainable development;
- No 15. Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss;
- No 16. Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels;
- No 17. Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development.
1.5. The role of leaders on remote work
2. Literature Review and Conceptual Framework
| Part 1: The individual/teleworkers’ perspectives | |
| + Autonomy / independence [22]. + Flexible working hours [22][19][67]. +Improving time management, professional flexibility [22]. +Saving time and travel expenses [22][26][84]. +Flexibility in organizing care for family members/relatives [22][40][20][73]. + Job satisfaction [38][8][69]. + Personalised workspace and chosen silence: it concerns workers with their own workplace, which promotes well-being, concentration and few distractions. It allows you to work from anywhere [12][42]. + Reduced stress from arriving late for work - Less travel time will reduce travel stress [20][74][40]. + Teleworkers were able to develop greater social support relationships with certain colleagues, especially other teleworkers, while simultaneously allowing them to distance themselves from negative work relationships [104]. |
- Reduced sense of belonging [22]. - Professional and social isolation, lack of face to face, in person interactions and emotional support from colleagues, negative effects on co-worker relationships, less visibility, observation [22][31][42][14][79]. - Hyperavailability Syndrome- Work-life imbalance - Employees struggle to separate work and home life[22][76][40][31]. - Need for self-discipline & motivation [22][31]. - Lack of professional support [22][80]. - Performance Control, loss of data security and equipment accountability [31][25]. -The increased use of electronic monitoring and surveillance methods by employers can increase employee anxiety and stress levels and increase the invasion of teleworkers' privacy [42][107][23]. - Legal issues, loss of legal rights (e.g. teleworkers' right to log off, unpaid overtime hours [2][45]. - Reduced employment opportunities - Teleworking negatively affects career aspirations due to inadequate managerial assessments [22][67][74][75]. - Lack of skills - Inadequate training [40][84]. - Technostress, digital exhaust, technology dependence and sedentary life as impacts on workers' mental and physical health and safety [42],[49][9][39]. - Long working hours and a lack of adequate work space and ergonomically adapted equipment and furniture at home can also increase risks to teleworkers' physical health [42],[49][9]. |
| Part 2: The organizational perspectives | |
| + Increase in productivity [22][31][78]. + Secure retention, strengthen organizational commitment and improve performance within the organization [78]. + Increased supply of human resources [22][31]. + Significant reduction in absenteeism and delays [22][31]. + Savings on direct costs [22][31]. + Increased motivation and satisfaction [22][72]. + Creation of a positive corporate image [22]. + Reductions in office space requirements, capital + Retention of rare skills and talents [31][72]. |
- Implementation difficulties for centrally managed organizations [22][72]. - Investments in training and new methods of supervision [22][72]. - Challenges for managers [22][72]. - Potential damage to engagement and identification with the organization due to complex communication [22][72]. - Changes in working methods [22][72]. - Costs associated with moving to teleworking [22]. - Legal issues [22][31]. - Internal HR Policies - If these policies are not designed and implemented, employees will only depend on the management support [24][38]. - Difficulties in selecting suitable work activities and people. -Teleworking may apply to some employees [22][20][73]. - Loss of data security and equipment accountability [31]. |
| Part 3: The societal & SDG perspectives | |
| + Reduction of environmental damage[22][31][106][41]. + Reduce traffic/congestion [22][31][106][41]. + Solutions for population groups with special needs or health problems [22]. + Reduces discrimination (i.g. gender, sexual orientation, religion, skin color or nationality). Perceived discrimination may be reduced since telecommuting, by definition, reduces physical, face-to-face interaction [44][36][74]. + Saving of infrastructure and energy [31][106][41]. +Regeneration for rural or marginal areas. Through Internet access and the trend of digital nomads, a town could get an economic boost [62][42][10]. +Benefits for the family. Parents can prioritize family and have more time for their children or themselves [20][23][73][40]. +Health living (i.e. lessens fast food consumption) [37][54]. +Telecommuting appears to be a community-friendly form of work, because telecommuters tend to report involvement in both volunteer and political/union activities [34]. +Benefits the military spouse population, which is an underutilized and underemployed group of educated or experienced professionals. Due to their frequent movements and need for flexibility, many remain unemployed [31][16]. +Extends career beyond retirement. It also allows retirees to maintain their savings while remaining professionally and physical active in giving back to their communities and families [67][40]. +Improves Public Health as it can help keep people healthy (e.g. during Covid-19) [8][49]. |
-Social distancing [22]. -The existence of socio-cultural barriers (e.g. particularly in autocraticasian societies) may hinder the utilization of the benefits of teleworking [25]. -Home energy consumption patterns may offset the benefits of teleworking[45,6][42][47]. -Dependency on technology [42]. -Effects on the mental and physical health and safety of workers may have an impact on society [42][25][50][45]. - Women who telecommute from home also face increased risks of digital harassment and domestic violence [42]. - Degradation of labor rights [45]. - It can lead to further urban sprawl and gentrification that would undermine environmental benefits. [45]. - Fragmentation of the workforce, individualization of employment relationships and the emergence of new inequalities in the labor market between those who can work remotely and those who cannot (e.g. because not everyone has access to broadband or the necessary equipment and space at home). These inequalities are closely related to socio-economic inequalities [42]. |
2.1. Individual / Teleworkers’ perspectives on telecommuting
2.2. Organizational perspective of telework
2.3. Societal & SDG perspectives of telework
3. Materials and Methods
3.1. Research Questions

3.2. Research Tool and Data Collection

3.3. Sampling and Participants
4. Results
4.1. Results of Descriptive Statistics
4.1.1. Demographic characteristics
| Distribution of answers regarding the sample (N=125): | ||||
| 1.1. Gender | ||||
| Frequency | Percent | Valid Percent | Cumulative Percent | |
| Female | 109 | 87.2 | 87.2 | 87.2 |
| Male | 16 | 12.8 | 12.8 | 100 |
| Total | 125 | 100 | 100 | |
| 1.2. Age | ||||
| 18-24 | 2 | 1.6 | 1.6 | 1.6 |
| 25-30 | 8 | 6.4 | 6.4 | 8 |
| 31-40 | 14 | 11.2 | 11.2 | 19.2 |
| 41-55 | 94 | 75.2 | 75.2 | 94.4 |
| 55+ | 7 | 5.6 | 5.6 | 100 |
| Total | 125 | 100 | 100 | |
| 1.3. Education Level | ||||
| Secondary education | 24 | 19.2 | 19.2 | 19.2 |
| Higher education | 54 | 43.2 | 43.2 | 62.4 |
| Master's degree holder | 42 | 33.6 | 33.6 | 96 |
| Holder of a Ph.D | 5 | 4 | 4 | 100 |
| Total | 125 | 100 | 100 | |
| 1.4.Years of service: Median=17.00 . Interquartile Range: 11.00 | ||||
| Frequency | Percent | Valid Percent | Cumulative Percent | |
| Citizen service office | 1 | 0.8 | 0.8 | 0.8 |
| Call center | 1 | 0.8 | 0.8 | 1.6 |
| Surgery warehouse | 1 | 0.8 | 0.8 | 2.4 |
| Secretariat | 40 | 32 | 32 | 34.4 |
| Office of Education | 1 | 0.8 | 0.8 | 35.2 |
| Program management office | 1 | 0.8 | 0.8 | 36 |
| Patient movement office | 5 | 4 | 4 | 40 |
| Supply office | 3 | 2.4 | 2.4 | 42.4 |
| Telemedicine design and development office | 1 | 0.8 | 0.8 | 43.2 |
| Dietetics department | 2 | 1.6 | 1.6 | 44.8 |
| Human resources management | 1 | 0.8 | 0.8 | 45.6 |
| Material Management Department | 1 | 0.8 | 0.8 | 46.4 |
| Hospital director | 3 | 2.4 | 2.4 | 48.8 |
| Quality control department | 1 | 0.8 | 0.8 | 49.6 |
| Medical service | 1 | 0.8 | 0.8 | 50.4 |
| Social service | 1 | 0.8 | 0.8 | 51.2 |
| Accounting department | 30 | 24 | 24 | 75.2 |
| Payroll | 1 | 0.8 | 0.8 | 76 |
| Nursing department | 2 | 1.6 | 1.6 | 77.6 |
| Economics Department | 4 | 3.2 | 3.2 | 80.8 |
| Pathological clinic | 1 | 0.8 | 0.8 | 81.6 |
| Order Office | 1 | 0.8 | 0.8 | 82.4 |
| Nursing service | 1 | 0.8 | 0.8 | 83.2 |
| Department of receipt of sanitary material | 1 | 0.8 | 0.8 | 84 |
| Information technology department | 6 | 4.8 | 4.8 | 88.8 |
| Protocol Department | 2 | 1.6 | 1.6 | 90.4 |
| Human ressources Department | 8 | 6.4 | 6.4 | 96.8 |
| Quality control service | 1 | 0.8 | 0.8 | 97.6 |
| Pharmacy | 1 | 0.8 | 0.8 | 98.4 |
| Psychiatric clinic | 2 | 1.6 | 1.6 | 100 |
| Total | 125 | 100 | 100 |
4.1.2. Descriptions for the main research part
| Frequency | Percent | Valid Percent | Cumulative Percent | |
| I absolutely disagree | 2 | 1.6 | 1.6 | 1.6 |
| Disagree | 3 | 2.4 | 2.4 | 4 |
| I neither agree nor disagree | 18 | 14.4 | 14.4 | 18.4 |
| Agree | 50 | 40 | 40 | 58.4 |
| Strongly Agree | 52 | 41.6 | 41.6 | 100 |
| Total | 125 | 100 | 100 | |
| Median=4 . Interquartile Range=1 | ||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| No | 109 | 87.2 | 87.2 | 87.2 | |
| yes | 16 | 12.8 | 12.8 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Νο | 47 | 37.6 | 37.6 | 37.6 | |
| Yes | 78 | 62.4 | 62.4 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Νο | 44 | 35.2 | 35.2 | 35.2 | |
| Yes | 81 | 64.8 | 64.8 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 13 | 10.4 | 10.4 | 10.4 | |
| Disagree | 14 | 11.2 | 11.2 | 21.6 | |
| I neither agree nor disagree | 43 | 34.4 | 34.4 | 56.0 | |
| Agree | 32 | 25.6 | 25.6 | 81.6 | |
| Strongly Agree | 23 | 18.4 | 18.4 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=3.Interquartile Range=4 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 14 | 11.2 | 11.2 | 11.2 | |
| Disagree | 22 | 17.6 | 17.6 | 28.8 | |
| I neither agree nor disagree | 34 | 27.2 | 27.2 | 56.0 | |
| Agree | 29 | 23.2 | 23.2 | 79.2 | |
| Strongly Agree | 26 | 20.8 | 20.8 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=3.Interquartile Range=2 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 4 | 3.2 | 3.2 | 3.2 | |
| Disagree | 5 | 4.0 | 4.0 | 7.2 | |
| I neither agree nor disagree | 28 | 22.4 | 22.4 | 29.6 | |
| Agree | 45 | 36.0 | 36.0 | 65.6 | |
| Strongly Agree | 43 | 34.4 | 34.4 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=2 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | I absolutely disagree | 4 | 3.2 | 3.2 | 3.2 |
| Disagree | 12 | 9.6 | 9.6 | 12.8 | |
| I neither agree nor disagree | 17 | 13.6 | 13.6 | 26.4 | |
| Agree | 47 | 37.6 | 37.6 | 64.0 | |
| Strongly Agree | 45 | 36.0 | 36.0 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=2 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 6 | 4.8 | 4.8 | 4.8 | |
| Disagree | 6 | 4.8 | 4.8 | 9.6 | |
| I neither agree nor disagree | 19 | 15.2 | 15.2 | 24.8 | |
| Agree | 46 | 36.8 | 36.8 | 61.6 | |
| Strongly Agree | 48 | 38.4 | 38.4 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=2 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Νο | 6 | 4.8 | 4.8 | 4.8 | |
| Yes | 119 | 95.2 | 95.2 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 3 | 2.4 | 2.4 | 2.4 | |
| Disagree | 16 | 12.8 | 12.8 | 15.2 | |
| I neither agree nor disagree | 43 | 34.4 | 34.4 | 49.6 | |
| Agree | 33 | 26.4 | 26.4 | 76.0 | |
| Strongly Agree | 30 | 24.0 | 24.0 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=1 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 5 | 4.0 | 4.0 | 4.0 | |
| Disagree | 17 | 13.6 | 13.6 | 17.6 | |
| I neither agree nor disagree | 34 | 27.2 | 27.2 | 44.8 | |
| Agree | 46 | 36.8 | 36.8 | 81.6 | |
| Strongly Agree | 23 | 18.4 | 18.4 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=1 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 4 | 3.2 | 3.2 | 3.2 | |
| Disagree | 12 | 9.6 | 9.6 | 12.8 | |
| I neither agree nor disagree | 28 | 22.4 | 22.4 | 35.2 | |
| Agree | 39 | 31.2 | 31.2 | 66.4 | |
| Strongly Agree | 42 | 33.6 | 33.6 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=2 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 10 | 8.0 | 8.0 | 8.0 | |
| Disagree | 20 | 16.0 | 16.0 | 24.0 | |
| I neither agree nor disagree | 31 | 24.8 | 24.8 | 48.8 | |
| Agree | 34 | 27.2 | 27.2 | 76.0 | |
| Strongly Agree | 30 | 24.0 | 24.0 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=1 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| I absolutely disagree | 4 | 3.2 | 3.2 | 3.2 | |
| Disagree | 12 | 9.6 | 9.6 | 12.8 | |
| I neither agree nor disagree | 35 | 28.0 | 28.0 | 40.8 | |
| Agree | 48 | 38.4 | 38.4 | 79.2 | |
| Strongly Agree | 26 | 20.8 | 20.8 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Median=4.Interquartile Range=1 | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Νο | 51 | 40.8 | 40.8 | 40.8 | |
| Yes | 74 | 59.2 | 59.2 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Νο | 96 | 76.8 | 76.8 | 76.8 |
| Yes | 29 | 23.2 | 23.2 | 100.0 | |
| Total | 125 | 100.0 | 100.0 | ||
4.2. Results of Inductive Statistics
4.2.1. Relationship between main research part questions and age
| Questions | Age | N | Mean Rank | Sum of Ranks |
| 1) Have there been management difficulties in your hospital service during the time of COVID-19 that led to the implementation of telework? | <41 years old | 24 | 44.85 | 1076.50 |
| 41 years and older | 101 | 67.31 | 6798.50 | |
| U=776.5 P=0.003 | ||||
| 2) Telecommuting can improve my job satisfaction and commitment to the hospital where I work. | <41 years old | 24 | 67.65 | 1623.50 |
| 41 years and older | 101 | 61.90 | 6251.50 | |
| U=1100.5 P=0.47 | ||||
| 3) Telecommuting can improve my work performance. | <41 years old | 24 | 69.92 | 1678.00 |
| 41 years and older | 101 | 61.36 | 6197.00 | |
| U=1046.0 P=0.286 | ||||
| 4) Telecommuting could reduce stress e.g. due to flexible working hours or reducing the spread of the virus. | <41 years old | 24 | 69.48 | 1667.50 |
| 41 years and older | 101 | 61.46 | 6207.50 | |
| U=1056.5 P=0.305 | ||||
| 5) Telecommuting could reduce burnout e.g. because of the time savings due to not commuting. | <41 years old | 24 | 69.52 | 1668.50 |
| 41 years and older | 101 | 61.45 | 6206.50 | |
| U=1055.5 P=0.300 | ||||
| 6) Telecommuting could reduce my days away from work because of the flexibility it offers. | <41 years old | 24 | 58.04 | 1393.00 |
| 41 years and older | 101 | 64.18 | 6482.00 | |
| U=1093.0 P=0.429 | ||||
| 7) Telecommuting can lead to social and professional isolation from the hospital where I work. | <41 years old | 24 | 63.40 | 1521.50 |
| 41 years and older | 101 | 62.91 | 6353.50 | |
| U=1202.5 P=0.951 | ||||
| 8)Telecommutinggives reduced opportunities to share information. | <41 years old | 24 | 60.08 | 1442.00 |
| 41 years and older | 101 | 63.69 | 6433.00 | |
| U=1142.0 P=0.648 | ||||
| 9) Telecommuting presents difficulties in separating the boundaries between work and personal time. | <41 years old | 24 | 61.31 | 1471.50 |
| 41 years and older | 101 | 63.40 | 6403.50 | |
| U=1171.5 P=0.791 | ||||
| 10) Telecommuting can force telecommuters to work overtime to prove their worth and lead to burnout. | <41 years old | 24 | 53.46 | 1283.00 |
| 41 years and older | 101 | 65.27 | 6592.00 | |
| U=983.0 P=0.140 | ||||
| 11) The operation of technologies and virtual meetings is not always an easy task | <41 years old | 24 | 59.75 | 1434.00 |
| 41 years and older | 101 | 63.77 | 6441.00 | |
| U=1134.0 P=0.609 | ||||
| Variables | Categories | Age | x2 (1) | p | |
| <41 years old | 41+ years old | ||||
| n (%) | n (%) | ||||
| 1) Before COVID-19. did you work remotely? | Νο | 19 | 90 | 1.72 | 0.190 |
| 79.2% | 89.1% | ||||
| Yes | 5 | 11 | |||
| 20.8% | 10.9% | ||||
| 2) Would you like to work remotely? | Νο | 7 | 40 | 0.90 | 0.343 |
| 29.2% | 39.6% | ||||
| Yes | 17 | 61 | |||
| 70.8% | 60.4% | ||||
| 3) During the time of COVID-19. did you work remotely? | Νο | 8 | 36 | 0.045 | 0.831 |
| 33.3% | 35.6% | ||||
| Yes | 16 | 65 | |||
| 66.7% | 64.4% | ||||
| 4) As a telecommuter. do you have an office or co-working space in your home? | Νο | 10 | 41 | 0.009 | 0.923 |
| 41.7% | 40.6% | ||||
| Yes | 14 | 60 | |||
| 58.3% | 59.4% | ||||
| 5) As a telecommuter. did you receive the required technology support from your hospital? | Νο | 21 | 75 | 1.909 | 0.167 |
| 87.5% | 74.3% | ||||
| Yes | 3 | 26 | |||
| 12.5% | 25.7% | ||||
4.2.2. Relationship between main research part questions and educational level
| Questions | Education level | N | Mean Rank |
| 1) Were there any management difficulties in your hospital service during the COVID-19 era that led to the implementation of telework? | Secondary education | 24 | 64.08 |
| Higher education | 54 | 54.05 | |
| Master's/PhD holder | 47 | 72.73 | |
| x2(2) = 7.796 p = 0.020 | |||
| 2) Telecommuting can improve my job satisfaction and commitment to the hospital where I work. | Secondary education | 24 | 49.31 |
| Higher education | 54 | 64.21 | |
| Master’s/PhD holder | 47 | 68.60 | |
| x2(2) = 4.934 p = 0.085 | |||
| 3) Telecommuting can improve my work performance. | Secondary education | 24 | 52.06 |
| Higher education | 54 | 64.16 | |
| Master’s/PhD holder | 47 | 67.26 | |
| x2(2) = 3.038 p = 0.219 | |||
| 4) Telecommuting could reduce stress e.g. due to flexible working hours or reducing the spread of the virus. | Secondary education | 24 | 60.10 |
| Higher education | 54 | 60.28 | |
| Master’s/PhD holder | 47 | 67.61 | |
| x2(2) = 1.351 p = 0.509 | |||
| 5) Telecommuting could reduce burnout e.g. because of the time savings due to not commuting. | Secondary education | 24 | 56.27 |
| Higher education | 54 | 63.56 | |
| Master’s/PhD holder | 47 | 65.79 | |
| x2(2) = 1.248 p = 0.536 | |||
| 6) Telecommuting could reduce my days away from work (e.g. for special leave for parents and vulnerable social groups) because of the flexibility it offers. | Secondary education | 24 | 57.44 |
| Higher education | 54 | 57.64 | |
| Master’s/PhD holder | 47 | 72.00 | |
| x2(2) = 5.224 p = 0.073 | |||
| 7) Telecommuting can lead to social and professional isolation from the hospital where I work. | Secondary education | 24 | 67.92 |
| Higher education | 54 | 65.36 | |
| Master’s/PhD holder | 47 | 57.78 | |
| x2(2) = 1.782 p = 0.410 | |||
| 8) Telecommutinggives reduced opportunities to share information. | Secondary education | 24 | 70.31 |
| Higher education | 54 | 62.61 | |
| Master’s/PhD holder | 47 | 59.71 | |
| x2(2) = 1.488 p = 0.475 | |||
| 9) Telecommuting presents difficulties in separating the boundaries between work and personal time. | Secondary education | 24 | 61.54 |
| Higher education | 54 | 65.47 | |
| Master’s/PhD holder | 47 | 60.90 | |
| x2(2) = 0.487 p = 0.784 | |||
| 10) Telecommuting can force telecommuters to work overtime to prove their worth and lead to burnout. | Secondary education | 24 | 60.38 |
| Higher education | 54 | 61.76 | |
| Master’s/PhD holder | 47 | 65.77 | |
| x2(2) = 0.490 p = 0.783 | |||
| 11) The operation of technologies and virtual meetings is not always an easy task. | Secondary education | 24 | 64.19 |
| Higher education | 54 | 66.73 | |
| Master’s/PhD holder | 47 | 58.11 | |
| x2(2) = 1.597 p = 0.450 | |||
| Education level | Mean Rank | U | P | |
| Have there been management difficulties in your hospital service …? | Secondary education | 43.54 | ||
| Higher education | 37.70 | |||
| 551.000 | 0.264 | |||
| Secondary education | 33.04 | |||
| Master’s/PhD holder | 37.51 | |||
| 493.000 | 0.341 | |||
| Higher education | 43.84 | |||
| Master’s/PhD holder | 59.22 | |||
| 882.500 | 0.004 |
- A statistically significant relationship is found between educational level and the variable "Would you like to work remotely?" (x2 (2) =8.46. p=0.015). In particular, the majority of participants who held a master's degree/doctorate (72.3%) wished to work remotely, as did the majority of participants who were graduates of higher education (64.8%). However, the majority of participants who were secondary school graduates did not wish to work remotely (62.5%).
- A statistically significant relationship is found between educational level and the variable "As teleworkers, did you receive the required technological support from your hospital?" (x2 (2) =10.01. p=0.007). In particular, the majority of participants who held a Master's/PhD (72.3%) stated that they had an office or friendly workspace at home. as did the majority of participants who were graduates of higher education (59.3%). However, the majority of participants who were secondary school graduates stated that they did not have an office or a friendly workspace at home (66.7%).
| Education level | ||||||
| Secondary education | Higher education | Master’s/PhD holder | ||||
| 1)Before COVID-19. did you work remotely? | Νο | Count | 20 | 49 | 40 | 109 |
| % within Education level | 83.3% | 90.7% | 85.1% | 87.2% | ||
| Yes | Count | 4 | 5 | 7 | 16 | |
| % within Education level | 16.7% | 9.3% | 14.9% | 12.8% | ||
| x2 (2) =1.113, p=0.573 | ||||||
| 2)Would you like to work remotely? | Νο | Count | 15 | 19 | 13 | 47 |
| % within Education level | 62.5% | 35.2% | 27.7% | 37.6% | ||
| Yes | Count | 9 | 35 | 34 | 78 | |
| % within Education level | 37.5% | 64.8% | 72.3% | 62.4% | ||
| x2 (2) =8.46, p=0.015) | ||||||
| 3)During the time of COVID-19. did you work remotely? | Νο | Count | 12 | 21 | 11 | 44 |
| % within Education level | 50.0% | 38.9% | 23.4% | 35.2% | ||
| Yes | Count | 12 | 33 | 36 | 81 | |
| % within Education level | 50.0% | 61.1% | 76.6% | 64.8% | ||
| x2 (2) =5.494.p=0.064 | ||||||
| 4)As a telecommuter. do you have an office or co-working space in your home? | Νο | Count | 16 | 22 | 13 | 51 |
| % within Education level | 66.7% | 40.7% | 27.7% | 40.8% | ||
| Yes | Count | 8 | 32 | 34 | 74 | |
| % within Education level | 33.3% | 59.3% | 72.3% | 59.2% | ||
| x2 (2) =10.01, p=0.007 | ||||||
| 5)As a telecommuter. did you receive the required technology support from your hospital? | Νο | Count | 22 | 39 | 35 | 96 |
| % within Education level | 91.7% | 72.2% | 74.5% | 76.8% | ||
| Yes | Count | 2 | 15 | 12 | 29 | |
| % within Education level | 8.3% | 27.8% | 25.5% | 23.2% | ||
| x2 (2) =3.756, p=0.153 | ||||||
5. Discussion
5.1. Recommendations for future research
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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