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A conceptual typology of multitasking behavior and polychronicity preferences

Author

Listed:
  • Giovanni Circella

    (Institute of Transportation Studies, University of California, Davis)

  • Patricia L. Mokhtarian

    (Department of Civil and Environmental Engineering and Institute of Transportation Studies, University of California, Davis)

  • Laura K. Poff

    (Institute of Transportation Studies, University of California, Davis)

Abstract

This paper introduces a conceptual framework for the systematic analysis of multitasking behavior, and the corresponding degree of preference for doing multiple activities simultaneously (polychronicity). A typology of multitasking is developed along the two dimensions “share of time” and “share of resources” allocated to each task. We discuss the heterogeneous nature of resources and the importance of the time scale and time granularity used for measuring multitasking, among other considerations. An illustrative library of examples of multitasking situations is provided. Finally, we discuss the measurement of polychronicity as a time- and context-dependentvector, rather than as a single score.

Suggested Citation

  • Giovanni Circella & Patricia L. Mokhtarian & Laura K. Poff, 2012. "A conceptual typology of multitasking behavior and polychronicity preferences," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 9(1), pages 59-107, November.
    • Handle: RePEc:leu:journl:2012:vol9:issue1:p59-107
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    Citations

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    Cited by:

    1. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    2. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
    3. Imre Keseru & Cathy Macharis, 2018. "Travel-based multitasking: review of the empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 162-183, March.
    4. Pudāne, Baiba & Correia, Gonçalo, 2020. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey – A comment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 324-328.
    5. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders & Adiredja, Lili Somantri, 2015. "Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 231-246.
    6. Choi, Sungtaek & Mokhtarian, Patricia L., 2020. "How attractive is it to use the internet while commuting? A work-attitude-based segmentation of Northern California commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 37-50.
    7. Aliaksandr Malokin & Giovanni Circella & Patricia L. Mokhtarian, 2021. "Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters," Transportation, Springer, vol. 48(5), pages 2787-2823, October.
    8. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2017. "Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 64(C), pages 1-12.
    9. Muhamad Rizki & Tri Basuki Joewono & Dimas B. E. Dharmowijoyo & Prawira Fajarindra Belgiawan, 2021. "Does multitasking improve the travel experience of public transport users? Investigating the activities during commuter travels in the Bandung Metropolitan Area, Indonesia," Public Transport, Springer, vol. 13(2), pages 429-454, June.
    10. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    11. Shamshiripour, Ali & Rahimi, Ehsan & (Kouros) Mohammadian, Abolfazl & Auld, Joshua, 2020. "Investigating the influence of latent lifestyles on productive travels: Insights into designing autonomous transit system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 469-484.
    12. Tang, Jia & Mokhtarian, Patricia L. & Zhen, Feng, 2020. "How do passengers allocate and evaluate their travel time? Evidence from a survey on the Shanghai–Nanjing high speed rail corridor, China," Journal of Transport Geography, Elsevier, vol. 85(C).
    13. Erin Lentz & Rachel Bezner Kerr & Raj Patel & Laifolo Dakishoni & Esther Lupafya, 2019. "The Invisible Hand that Rocks the Cradle: On the Limits of Time Use Surveys," Development and Change, International Institute of Social Studies, vol. 50(2), pages 301-328, March.
    14. F. Atiyya Shaw & Aliaksandr Malokin & Patricia L. Mokhtarian & Giovanni Circella, 2021. "Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes," Transportation, Springer, vol. 48(1), pages 395-429, February.
    15. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.

    More about this item

    Keywords

    Multitasking; polychronicity; time use; personality; attitudes;
    All these keywords.

    JEL classification:

    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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