Frontline employee empowerment: Scale development and validation using Confirmatory Composite Analysis
Saradhi Motamarri,
Shahriar Akter and
Venkata Yanamandram
International Journal of Information Management, 2020, vol. 54, issue C
Abstract:
Empowerment has been argued as a viable strategy to enable frontline employees (FLEs) to manage the complexities of service encounters. Organisations must cascade insights from analytics to frontlines for dynamic (re)bundling of service elements while serving customers. However, very little is known on how FLEs are empowered in analytics-driven services. This study addresses these research gaps, drawing on a systematic literature review and in-depth interviews (n = 30), followed by conceptualisation and validation of an empowerment scale through a pilot (n = 50) and the main study (n = 304). This research confirms empowerment as a second-order construct consisting of six dimensions namely, decision making, discretionary skills, information access, knowledge, tools and training. The predictive power of the scale is validated through PLSc and PLSpredict (k = 10) using a training sample (n = 274) and a holdout sample (n = 30). Theoretically, this work extends FLE empowerment to analytics-driven services. Practically, the study informs managers to complement their investments in technology with an internal orientation program to empower FLEs to effectively link with customers and seize opportunities.
Keywords: Frontline employees; Information empowerment; Scale development; Dynamic capabilities; Analytics-driven services; PLS-SEM; Confirmatory composite analysis (CCA) (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401219317694
Full text for ScienceDirect subscribers only
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:eee:ininma:v:54:y:2020:i:c:s0268401219317694
DOI: 10.1016/j.ijinfomgt.2020.102177
Access Statistics for this article
International Journal of Information Management is currently edited by Yogesh K. Dwivedi
More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().