Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach
Madhukar Patil () and
M. Suresh ()
Additional contact information
Madhukar Patil: Amrita School of Business
M. Suresh: Amrita School of Business
Global Journal of Flexible Systems Management, 2019, vol. 20, issue 2, No 4, 157-175
Abstract:
Abstract IoT projects can be categorized as high technology with an extremely dynamic product development lifecycle. To be a leader under such conditions, organizations need to focus priorities on achieving shorter product development cycle along with organization agility and workforce agility. Many researchers have tried to identify the enablers that affect workforce agility in different segments, but none has really looked into the IoT project environment. In this paper, efforts are taken to model the enablers of workforce agility in IoT projects and to understand the interrelationship among enablers using total interpretive structural modelling. The current study makes an attempt to provide a hierarchical structure representing the driving enablers and the dependent enablers and to give the order of enablers with respect to influence on workforce agility. Results indicate that employee proactivity, innovativeness, resiliency skills and ownership or self-motivation bring agility in the workforce. These enablers help employees to act in all decision-making situations to achieve IoT organization goals faster.
Keywords: Agility; Internet of Things projects; Project agility; Total interpretive structural modelling; Workforce agility (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)
Downloads: (external link)
http://link.springer.com/10.1007/s40171-019-00208-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:gjofsm:v:20:y:2019:i:2:d:10.1007_s40171-019-00208-7
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/40171
DOI: 10.1007/s40171-019-00208-7
Access Statistics for this article
Global Journal of Flexible Systems Management is currently edited by Sushil
More articles in Global Journal of Flexible Systems Management from Springer, Global Institute of Flexible Systems Management
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().