How Much Home Office is Ideal? A Multi-Perspective Algorithm
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023. ed. / Susanne Boll; Anna Cox; Thomas Ludwig; Marta E. Cecchinato. New York: Association for Computing Machinery, Inc, 2023. 8 (ACM International Conference Proceeding Series).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - How Much Home Office is Ideal? A Multi-Perspective Algorithm
AU - Colley, Mark
AU - Jansen, Pascal
AU - Matthiesen, Jennifer
AU - Hoberg, Hanne
AU - Reger, Carmen
AU - Thiermann, Isabel
N1 - Conference code: 2
PY - 2023/9/20
Y1 - 2023/9/20
N2 - The COVID pandemic made home office organization a necessity. Even beyond COVID-19, many employees will want to continue working, at least part-time, from home. The home office trend has various advantages and drawbacks from both the employer's and the employee's perspectives. Therefore, determining the ideal proportion of home office work for each employee to balance this potential is important. However, what is the ideal proportion? While research on the organization of home office focused on identifying the jobs, tasks, or activities feasible at home, there is a research gap on how companies can use these categorizations to determine the proportion of home office, which leads to the most efficient work, saves resources and coincide with the preference of each employee. Therefore, this work presents an algorithm that considers multiple perspectives for determining the ideal proportion of home office on individual and company proportions. Three perspectives are taken into account: (i) the employer's point of view, (ii) the demographic and social factors of the employee, and (iii) the preferred proportion of home office from the employee. We combined the findings of several prior studies on the organization of home office and developed an algorithm that serves as a practical approach for determining the proportion of home office and can be used to identify potential discrepancies between the three perspectives.
AB - The COVID pandemic made home office organization a necessity. Even beyond COVID-19, many employees will want to continue working, at least part-time, from home. The home office trend has various advantages and drawbacks from both the employer's and the employee's perspectives. Therefore, determining the ideal proportion of home office work for each employee to balance this potential is important. However, what is the ideal proportion? While research on the organization of home office focused on identifying the jobs, tasks, or activities feasible at home, there is a research gap on how companies can use these categorizations to determine the proportion of home office, which leads to the most efficient work, saves resources and coincide with the preference of each employee. Therefore, this work presents an algorithm that considers multiple perspectives for determining the ideal proportion of home office on individual and company proportions. Three perspectives are taken into account: (i) the employer's point of view, (ii) the demographic and social factors of the employee, and (iii) the preferred proportion of home office from the employee. We combined the findings of several prior studies on the organization of home office and developed an algorithm that serves as a practical approach for determining the proportion of home office and can be used to identify potential discrepancies between the three perspectives.
KW - Algorithm
KW - Home office
KW - Ideal proportion
KW - Teleworkability
KW - Working from home
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85174038062&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/67223776-80fd-394e-87a5-5ba7e826dfe3/
U2 - 10.1145/3596671.3596672
DO - 10.1145/3596671.3596672
M3 - Article in conference proceedings
AN - SCOPUS:85174038062
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023
A2 - Boll, Susanne
A2 - Cox, Anna
A2 - Ludwig, Thomas
A2 - Cecchinato, Marta E.
PB - Association for Computing Machinery, Inc
CY - New York
T2 - 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work - CHIWORK 2023
Y2 - 13 June 2023 through 16 June 2023
ER -