Scott Ross Advisor Clio Andris Penn State University Outline Project Objectives Why telework matters Definition of telework Literature review Proposed methodology Timeline Anticipated results ID: 733823
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Environmental, POPULATION, AND POLICY FACTORS INFLUENCING TELEWORK
Scott RossAdvisor: Clio AndrisPenn State UniversitySlide2
Outline
Project ObjectivesWhy telework mattersDefinition of teleworkLiterature reviewProposed methodology
TimelineAnticipated results
Source: www.readytalk.com 2015 used with permissionSlide3
Project Objectives
Determine the strength of spatial relationships for variables correlated with telework Education level Population density Commute time ICT infrastructure Determine if there is a tendency for states with policies promoting telework to have higher rates of teleworkSlide4
Why Telework matters
Part of the growth of flexible work options designed to: Retain and attract skilled workers (Forbes, 2013) Reduce operating costs (Singh et al, 2012) Increase access to work (Koeplinger, 2007) Decrease traffic congestion and emissions (
Khau 2012)The following states have telework programs: NV, CA, AZ, VA, GA, WA, othersSlide5
Telework currently
Efforts to push telework globally, especially EU, ChinaTelework enhancement act 2010 (US fed Govt workers)Data from global workplace analyticsForbes – 30M work from home at least once a week, 3M work exclusively at home, number may increase to 63% of workforceWorld at work – 98% of surveyed organizations maintaining or increasing telework options.Definite challenges – especially engagement Slide6
Source: Global workplace Analytics. Used with permission.Slide7
Definitions of Teleworker
Definitions can be tricky and vary based on following factors: Full-time or part time Self employed or not Number of days remote Work from home, remote, telework center Part of routine or ad-hocDifferent data sources have different qualifications for who is a teleworkerSlide8
Literature review
Education (Worldatwork 2014) othersPopulation density (Singh et al, 2012)ICT availability (Tayyaran, Khan, 2003) Computer ownership (Perez et al 2004) Broadband availability (Koeplinger
2007)Commute time (Singh et a, 2012)Slide9
Data Sources
ACS data (2010-2014) by zip code Total employed workforce educated population by degree level average commute time number of people who work from home sector and industry Slide10
Data Sources continued
National broadband map Telework jobs being advertised online Descriptions of different state programs to encourage telework
Source: National Broadband mapSlide11
Proposed methodologySlide12
Proposed methodology
Collect telework dataPrepare and map data in arcGIS, calculate correlation coefficientsDisplay correlation by zip codeIdentify areas with higher than national average rates of “work from home”. Correct for variation based on known correlations (develop a model)Identify the impact of state regulationsIdentify unusual clusters of teleworkSlide13
Timeline
January – Collect and Prepare all dataFebruary – Correlate Data and Create a modelMarch – Validate Model, Identify OutliersApril – June Prepare for presentationSlide14
Anticipated results
Correlation coefficients and map of relationships for each variable with telework ratesA best fit model that accounts for education, population density, commute time, and ICT infrastructureIdentify if states where a positive deviation from the model exists could be due to legislation.Hypothesis: There will be a slight but measurable effect of favorable telework legislation on the overall rates of telework in certain states.Slide15
Conferences
June 6-8 2016 Total Rewards Conference – San Diego29 Mar- 2 Apr Association of American Geographers (AAG)Possible conferences with Global workplace analytics, Slide16
Work Cited
Broadband Statistics. (n.d.). Retrieved December 15, 2015, from http://www.broadbandmap.gov/analyze Flickess, J. (2014). The 411 on Telework Technology. Retrieved December 15, 2015, from http://www.worldatwork.org/adimComment?id=74452 Lister, K. (2015, September 29). Latest Telecommuting Statistics | Global Workplace Analytics. Retrieved December 15, 2015, from http://globalworkplaceanalytics.com/telecommuting-statisticsPerez, M., Sanchez, A., Carnicer, P., & Jimenez, M. (2004). A Technology Acceptance Model of Innovation Adoption: The case of Teleworking.
European Journal of Innovation Management, 7(4), 280-291. doi:10.1108 Slide17
Work Cited
Rapoza, K. (2013). One In Five Americans Work From Home, Numbers Seen Rising Over 60%. (2013, February 18). Retrieved December 15, 2015, from http://www.forbes.com/sites/kenrapoza/2013/02/18/one-in-five-americans-work-from-home-numbers-seen-rising-over-60/ Khau, J. (2012, September 17). The Rise of Telework and What it Means. Retrieved December 15, 2015, from http://www.newgeography.com/content/003082-the-rise-telework-and-what-it-means Koeplinger, N. (2007). Telecommuting Satisfaction, Lifestyle Choice and Geography: Evidence from a Fortune 500 Firm. Retrieved December 16, 2015, from https://libres.uncg.edu/ir/uncg/f/umi-uncg-1392.pdf Slide18
Work Cited
Singh, P., Paleti, R., Jenkins, S., & Bhat, C. (2012, June 13). On Modeling Telecommuting Behavior: Option, Choice, and Frequency. Retrieved December 16, 2015, from http://www.caee.utexas.edu/prof/bhat/ABSTRACTS/Telecommuting_Paper_13June2012.pdf Tayyaran, M., & Khan, A. (2003). The Effects of Telecommuting and intelligent Transportation Systems on Urban Development. Journal of Urban Technology, 10(2), 87-100. doi:10.1080