How Much Home Office is Ideal? A Multi-Perspective Algorithm

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

How Much Home Office is Ideal? A Multi-Perspective Algorithm. / Colley, Mark; Jansen, Pascal; Matthiesen, Jennifer et al.
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/worksArticle in conference proceedingsResearchpeer-review

Harvard

Colley, M, Jansen, P, Matthiesen, J, Hoberg, H, Reger, C & Thiermann, I 2023, How Much Home Office is Ideal? A Multi-Perspective Algorithm. in S Boll, A Cox, T Ludwig & ME Cecchinato (eds), Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023., 8, ACM International Conference Proceeding Series, Association for Computing Machinery, Inc, New York, 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work - CHIWORK 2023, Hybrid, Oldenburg, Lower Saxony, Germany, 13.06.23. https://doi.org/10.1145/3596671.3596672

APA

Colley, M., Jansen, P., Matthiesen, J., Hoberg, H., Reger, C., & Thiermann, I. (2023). How Much Home Office is Ideal? A Multi-Perspective Algorithm. In S. Boll, A. Cox, T. Ludwig, & M. E. Cecchinato (Eds.), Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023 Article 8 (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc. https://doi.org/10.1145/3596671.3596672

Vancouver

Colley M, Jansen P, Matthiesen J, Hoberg H, Reger C, Thiermann I. How Much Home Office is Ideal? A Multi-Perspective Algorithm. In Boll S, Cox A, Ludwig T, Cecchinato ME, editors, Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023. New York: Association for Computing Machinery, Inc. 2023. 8. (ACM International Conference Proceeding Series). doi: 10.1145/3596671.3596672

Bibtex

@inbook{32bbfb8f0bc64564b5f97cc86335a6b9,
title = "How Much Home Office is Ideal? A Multi-Perspective Algorithm",
abstract = "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.",
keywords = "Algorithm, Home office, Ideal proportion, Teleworkability, Working from home, Informatics",
author = "Mark Colley and Pascal Jansen and Jennifer Matthiesen and Hanne Hoberg and Carmen Reger and Isabel Thiermann",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work - CHIWORK 2023, CHIWORK 2023 ; Conference date: 13-06-2023 Through 16-06-2023",
year = "2023",
month = sep,
day = "20",
doi = "10.1145/3596671.3596672",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery, Inc",
editor = "Susanne Boll and Anna Cox and Thomas Ludwig and Cecchinato, {Marta E.}",
booktitle = "Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023",
address = "United States",
url = "https://dl.acm.org/doi/pdf/10.1145/3596671, https://chiwork.org/23/",

}

RIS

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 -

DOI