| Literature DB >> 35720050 |
Fynnwin Prager1, Mohja Rhoads2, Jose N Martínez1.
Abstract
The COVID-19 lockdown has increased the use of flexible workplace practices (FWP) especially work from home, demonstrating their importance to the resilience of transportation systems and regional economies. This study compares experiences and perceptions of FWP and related policy interventions before and during the COVID-19 shutdown, using a mixed-methods approach focusing on the South Bay region of Los Angeles County, to inform projections about the use of FWP and policy implications post-COVID. Pre-shutdown surveys and focus groups interviews confirmed that major obstacles to FWP expansion were a combination of managerial and executive resistance, alongside occupational constraints. Pre-shutdown interviews suggested that costs associated with manager training and cultural transition are major concerns for executives. A small sample of follow-up interviews with executives, managers, and staff, conducted during the shutdown period has revealed some of the practical issues with full-time FWP such as work-life balance, childcare, productivity, IT hardware and software, and network connectivity. Although organizations have been forced into flexible arrangements, many are considering continuing to utilize the practices after the pandemic settles down. In terms of policy interventions, pre-COVID participants perceived government subsidies and incentives as the most desirable government programs. However, in a resource-constrained post-COVID world, policy makers might instead focus on training programs and promotional campaigns tied to public health messaging, and the implications of reduced commuting for transportation system design and commercial zoning and land use.Entities:
Keywords: COVID-19; Flexible workplace practices; Resilience; Telecommuting
Year: 2022 PMID: 35720050 PMCID: PMC9192284 DOI: 10.1016/j.tranpol.2022.06.004
Source DB: PubMed Journal: Transp Policy (Oxf) ISSN: 0967-070X
Fig. 1Percent of Los Angeles County Residents Working At Home by Zip Code
Source: US Census American Community Survey
Legend
Orange: Values greater than the 2012 mean; darker as value increases; range 0–15%
Purple: Values less than the 2012 mean; darker as value decreases; range 0 to −5%. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2County of Los Angeles COVID-19 cases, policy, and travel behavior, March 2020–August 2021. Source: Authors' calculations based on LA Times (2021) and Google Mobility data (2021).
South Bay Employment by Sector
| Industry Sector | Proportion of Workers Per Sector | |
|---|---|---|
| California Employment Division Department data for the South Baya | Survey and focus group participant responsesb | |
| Natural Resources | 0.3% | 0.0% |
| Construction | 3.1% | 1.9% |
| Manufacturing | 13.6% | 13.5% |
| | ||
| | ||
| Wholesale Trade | 4.8% | 0.0% |
| Retail Trade | 9.4% | 0.0% |
| Transportation/Utilities | 10.4% | 3.8% |
| | ||
| | ||
| Information | 2.1% | 1.0% |
| Financial Activities | 4.4% | 1.9% |
| Professional/Business Services | 15.0% | 22.1% |
| Educational Services | 1.5% | 15.4% |
| Health Care | 11.8% | 4.8% |
| Leisure and Hospitality | 12.1% | 8.7% |
| | ||
| | ||
| Other Services | 3.3% | |
| | 4.8% | |
| Government | 8.3% | 18.3% |
aData in this column adds up to 100.1% due to rounding error.
bItalicized data in this column are sub-sectors and hence only non-italicized values should be added for overall calculations. Values do not add up to 100% as some participants selected “other” industry.
Focus Group Participant Workplace Use of FWP by Sector
| Industry Sector | Respondent Workplace Use of FWP | Total | |
|---|---|---|---|
| Count | % | ||
| Aerospace and Defense | 6 | 75.0% | 8 |
| Manufacturing | 4 | 66.7% | 6 |
| Entertainment | 2 | 40.0% | 5 |
| Sports Management | 1 | 100.0% | 1 |
| Arts | 2 | 40.0% | 5 |
| Health Care | 4 | 80.0% | 5 |
| Education | 9 | 56.3% | 16 |
| International Trade | 1 | 100.0% | 1 |
| Natural Resources | 0 | 0.00% | 0 |
| Professional/Business Services | 16 | 69.6% | 23 |
| Government | 15 | 78.9% | 19 |
| Technical Services | 1 | 100.0% | 1 |
| Retail Trade | 0 | 0.00% | 0 |
| Tourism and Hospitality | 2 | 66.7% | 3 |
| Real Estate | 0 | 0.00% | 0 |
| Construction | 1 | 50.0% | 2 |
| Wholesale Trade | 0 | 0.00% | 0 |
| Transportation and Utilities | 2 | 66.7% | 3 |
| Financial Activities | 2 | 100.0% | 2 |
| Other (please specify) | 19 | 76.0% | 25 |
| Total | 72 | 57.6% | 125 |
Focus Group Participant Use of FWP by Occupation Level
| Occupation Level | Response % | Yes | No | ||
|---|---|---|---|---|---|
| Count | % | Count | % | ||
| Business Owner | 12.8% | 11 | 15.1% | 2 | 6.5% |
| Executive | 6.9% | 6 | 8.2% | 1 | 3.2% |
| Manager | 19.6% | 16 | 21.9% | 3 | 9.7% |
| HR or Personnel | 17.7% | 9 | 12.3% | 7 | 22.6% |
| Employee | 31.4% | 18 | 24.7% | 13 | 41.9% |
| Other | 16.7% | 13 | 17.8% | 5 | 16.1% |
| Total Responses | 107 | 73 | 100.0% | 31 | 100.0% |
Perceived obstacles to expansion of telework at workplaces with FWP.
| Not Important | Slightly Important | Moderately Important | Important | Very Important | Total | Avg | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Current Obstacle | # | % | # | % | # | % | # | % | # | % | ||
| No formal policy in place | 18 | 26.5% | 10 | 14.7% | 3 | 4.4% | 15 | 22.1% | 22 | 32.4% | 68 | 3.19 |
| Lack of prior success | 21 | 31.8% | 14 | 21.2% | 13 | 19.7% | 14 | 21.2% | 4 | 6.1% | 66 | 2.48 |
| Lack of awareness | 15 | 23.1% | 9 | 13.9% | 15 | 23.1% | 15 | 23.1% | 11 | 16.9% | 65 | 2.97 |
| Lack of interest | 20 | 30.3% | 15 | 22.7% | 11 | 16.7% | 13 | 19.7% | 7 | 10.6% | 66 | 2.58 |
| Lack of training | 13 | 19.7% | 11 | 16.7% | 10 | 15.2% | 18 | 27.3% | 14 | 21.2% | 66 | 3.14 |
Averages are calculated using the following scale: 1 = Not important, 2 = Slightly important, 3 = Moderately important, 4 = Important, 5 = Very important. These averages are used to compare responses to each factor, and should not imply that ordinal factors are appropriate for averaging in general.
Perceived obstacles to expansion of telework at workplaces without FWP.
| Not Important | Slightly Important | Moderately Important | Important | Very Important | Total | Avg | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Current Obstacle | # | % | # | % | # | % | # | % | # | % | ||
| Executive resistance | 1 | 3.9% | 2 | 7.7% | 4 | 15.4% | 4 | 15.4% | 15 | 57.7% | 26 | 4.15 |
| Manager resistance | 2 | 8.0% | 2 | 8.0% | 7 | 28.0% | 5 | 20.0% | 9 | 36.0% | 25 | 3.68 |
| HR/Personnel resistance | 5 | 20.8% | 1 | 4.2% | 4 | 16.7% | 7 | 29.2% | 7 | 29.2% | 24 | 3.42 |
| Worker resistance | 6 | 26.1% | 5 | 21.7% | 3 | 13.0% | 3 | 13.0% | 6 | 26.1% | 23 | 2.91 |
| Not feasible given occupations within company | 0 | 0.0% | 5 | 20.0% | 4 | 16.0% | 4 | 16.0% | 12 | 48.0% | 25 | 3.92 |
| No interest | 4 | 16.7% | 9 | 37.5% | 4 | 16.7% | 2 | 8.3% | 5 | 20.8% | 24 | 2.79 |
| Too expensive to implement | 3 | 13.0% | 4 | 17.4% | 9 | 39.1% | 1 | 4.4% | 6 | 26.1% | 23 | 3.13 |
Averages are calculated using the following scale: 1 = Not important, 2 = Slightly important, 3 = Moderately important, 4 = Important, 5 = Very important. These averages are used to compare responses to each factor, and should not imply that ordinal factors are appropriate for averaging in general.
Perceived impact of potential government programs and incentives to expand telework.
| Program or Incentive | No Impact | Low Impact | Moderate Impact | High Impact | Total # | Avg | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| # | % | # | % | # | % | # | % | ||||
| Publicity campaign | 15 | 25 | 23 | 28 | 91 | 2.70 | |||||
| Public co-working spaces | 19 | 20 | 22 | 32 | 93 | 2.72 | |||||
| Training Programs | 13 | 15 | 31 | 34 | 93 | 2.92 | |||||
| Free cost audits | 15 | 20 | 31 | 24 | 90 | 2.71 | |||||
| Free managerial audits | 12 | 27 | 24 | 27 | 90 | 2.73 | |||||
| Free employee surveys | 15 | 19 | 28 | 26 | 88 | 2.74 | |||||
| Tax credits, or stipends | 11 | 8 | 23 | 48 | 90 | 3.20 | |||||
| Regulations | 13 | 11 | 31 | 36 | 91 | 2.99 | |||||
Averages are calculated using the following scale: 1 = No impact, 2 = Low impact, 3 = Moderate impact, 4 = High impact. These averages are used to compare responses to each factor, and should not imply that ordinal factors are appropriate for averaging in general.
Perceived cost of potential government programs and incentives to expand telework.
| Program or Incentive | Not Costly | Slightly Costly | Moderately Costly | Costly | Very Costly | Total # | Avg | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | % | # | % | # | % | # | % | # | % | |||
| Publicity campaign | 29 | 16 | 17 | 17 | 9 | 88 | 2.56 | |||||
| Public co-working spaces | 21 | 11 | 20 | 21 | 14 | 87 | 2.95 | |||||
| Training Programs | 12 | 13 | 34 | 14 | 11 | 84 | 2.99 | |||||
| Free cost audits | 28 | 24 | 18 | 9 | 4 | 83 | 2.24 | |||||
| Free managerial audits | 33 | 22 | 19 | 8 | 4 | 86 | 2.16 | |||||
| Free employee surveys | 28 | 20 | 25 | 3 | 7 | 83 | 2.29 | |||||
| Tax credits, or stipends | 26 | 15 | 18 | 16 | 8 | 83 | 2.58 | |||||
| Regulations | 10 | 14 | 24 | 18 | 19 | 85 | 3.26 | |||||
Averages are calculated using the following scale: 1 = Not costly, 2 = Slightly costly, 3 = Moderately costly,4 = Costly, 5 = Very costly. These averages are used to compare responses to each factor, and should not imply that ordinal factors are appropriate for averaging in general.
Summary of interviews conducted during COVID-19 pandemic.
| 28 interviews with employees in health care, education, utilities, non-profits, government administration, tourism, biotech, public safety, human resources, social work, retail, supply chain management, advertising, information technology, and insurance | |
| Most workplaces moved from little or no working-from-home to full-time, especially early in the lockdown. Some remained as full-time telework, while others combined with flexible scheduling to allow social distanced office use | |
| Most executives and managers supportive of telework. Most workplaces maintained productivity levels. Around half expected telework to continue following pandemic. However, a significant minority saw productivity levels decrease and one in four did not expect telework to continue. | |
| Around half of workplaces had at least considered lease renewals, created new internal telework policies, or modified insurance policies. Layoffs and furloughs had impacted work flow for some. | |
| Broader implementation of telemedicine in healthcare and digitization of documentation. Customer and client service calls in other sectors moved online. Meditation and other wellness programs used to help manage employee stress and anxiety. | |
| Most interviewees had experienced time management, work-life balance, and designated space challenges, either personally or among colleagues. Some experienced hardware, software, or connectivity challenges. Little or no training was provided to most. |
Summary of COVID-19 impacts on FWP and future trends by transport policy issue area.
| Transport policy issue area | Impact of COVID-19 | Impact of FWP increase | Future Trends |
|---|---|---|---|
| Significant reduction in travel, especially public transit. | Telework offsets commutes for 45–56% of more privileged jobs ( | New commuting patterns and fear of public transit will likely stick for many. Some will return to offices, but less frequent, further commutes. | |
| Significant initial reduction in emissions, but offset by increases in private vehicle use instead of public transit. | Literature shows unclear emissions impact of FWP. Increase in local errands and home heating may offset reduce commute emissions ( | Long-term impacts may be influenced by land use and transport system factors for suburban residences of teleworkers ( | |
| Lockdowns and social distancing requirements reduce demand for commercial real estate. City rents decline as desire for more space reduces demand for dense urban areas ( | Organizations look to downsize, end leases, or repurpose workplaces. Telework enables privileged employees to move further away from workplace ( | While demand denser urban areas will return, lasting telework and FWP will see suburban and satellite locations increase in importance. | |
| Unprecedented disruption to workplaces through unemployment and telework. | Most telework-compatible jobs likely to continue with FWP. | High demand for workers means companies offering FWP to hire and retain. | |
| Health and unemployment disproportionately affects poor and communities of color ( | Teleworkers are wealthier, whiter, more senior; poor and minority employees more likely to work in person ( | Benefits of telework and FWP experienced by more workers, especially as new graduates enter workforce. However, inequalities will remain. |