The multi-dimensional space of the futures of work

被引:3
|
作者
Sawyer, Steve [1 ]
Carmel, Erran [2 ]
机构
[1] Syracuse Univ, Sch Informat Studies, Syracuse, NY 13244 USA
[2] Amer Univ, Kogod Coll Business, Washington, DC 20016 USA
基金
美国国家科学基金会;
关键词
Knowledge workers; Case study; Exploratory framework; Societal; Theoretical perspective; Marketplace; TECHNOLOGIES; LEADERSHIP;
D O I
10.1108/ITP-12-2020-0857
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose The authors present nine dimensions to provide structure for the many Futures of Work (FoW). This is done to advance a more sociotechnical and nuanced approach to the FoW, which is too-often articulated as singular and unidimensional. Futurists emphasize they do not predict the future, but rather, build a number of possible futures - in plural - often in the form of scenarios constructed based on key dimensions. Such scenarios help decision-makers consider alternative actions by providing structured frames for careful analyses. It is useful that the dimensions be dichotomous. Here, the authors focus specifically on the futures of knowledge work. Design/methodology/approach Building from a sustained review of the FoW literature, from a variety of disciplines, this study derives the nine dimensions. Findings The nine FoW dimensions are: Locus of Place, Locus of Decision-making, Structure of Work, Technologies' Roles, Work-Life, Worker Expectations, Leadership Model, Firm's Value Creation and Labor Market Structure. Use of the dimensions is illustrated by constructing sample scenarios. Originality/value While FoW is multi-dimensional, most FoW writing has focused on one or two dimensions, often highlighting positive or negative possibilities. Empirical papers, by their nature, are focused on just one dimension that is supported by data. However, future-oriented policy reports tend are more often multi-faceted analyses and serve here as the model for what we present.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 50 条
  • [31] Multi-Source Skyline Queries Processing in Multi-Dimensional Space
    Li, Cuiping
    He, Wenlin
    Chen, Hong
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I, PROCEEDINGS, 2010, 6118 : 471 - 479
  • [32] Towards multi-dimensional measurement and improvement of VDU-work
    Stary, C
    RieseneckerCaba, T
    Kalkhofer, M
    Flecker, J
    ADVANCES IN OCCUPATIONAL ERGONOMICS AND SAFETY 1997, 1997, : 433 - 436
  • [33] Does Religious Education Work? A multi-dimensional Investigation.
    Schweitzer, Friedrich
    JOURNAL OF EMPIRICAL THEOLOGY, 2015, 28 (01) : 136 - 137
  • [34] Uncertain Location based Range Aggregates in a multi-dimensional space
    Zhang, Ying
    Lin, Xuemin
    Tao, Yufei
    Zhang, Wenjie
    ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2009, : 1247 - +
  • [35] Multi-Dimensional Research and Progress in Parking Space Detection Techniques
    Wang, Xi
    Miao, Haotian
    Liang, Jiaxin
    Li, Kai
    Tan, Jianheng
    Luo, Rui
    Jiang, Yueqiu
    ELECTRONICS, 2025, 14 (04):
  • [36] Managing Software Processes with the Multi-Dimensional Resource Space Model
    Rafi, Muhammad Adnan
    2018 14TH INTERNATIONAL CONFERENCE ON SEMANTICS, KNOWLEDGE AND GRIDS (SKG), 2018, : 76 - 83
  • [37] Nonlinear Fusion of Multi-Dimensional Densities in Joint State Space
    Klumpp, Vesa
    Hanebeck, Uwe D.
    FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2009, : 2044 - 2051
  • [38] Using space-filling curves for multi-dimensional indexing
    Lawder, JK
    King, PJH
    ADVANCES IN DATABASES, 2000, 1832 : 20 - 35
  • [39] Non-degeneracy of extremal points in multi-dimensional space
    CHENG ChongQing
    ZHOU Min
    ScienceChina(Mathematics), 2015, 58 (11) : 2255 - 2260
  • [40] Non-degeneracy of extremal points in multi-dimensional space
    Cheng ChongQing
    Zhou Min
    SCIENCE CHINA-MATHEMATICS, 2015, 58 (11) : 2255 - 2260