Design thinking: a cognitive resource for improving workforce analytics and training evaluation

Natasha Zafar; Muhammad Ali Asadullah; Muhammad Zia Ul Haq; Ahmad Nabeel Siddiquei; Sajjad Nazir

doi:10.1108/EJTD-09-2021-0150

Design thinking: a cognitive resource for improving workforce analytics and training evaluation

Natasha Zafar
, Muhammad Ali Asadullah
, Muhammad Zia Ul Haq^*
, Ahmad Nabeel Siddiquei
, Sajjad Nazir

^*Corresponding author for this work

Bond Business School

Research output: Contribution to journal › Article › Research › peer-review

17 Citations (Scopus)

659 Downloads (Pure)

Abstract

Purpose

The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR) professionals' design thinking (DT) mindset strengthens the set of TEPs using predictive workforce analytics (PWAs).

Design/methodology/approach

The authors used SPSS computational named MLMED to test the proposed relationships by collecting data from 180 management professionals serving in subsidiaries of multinational corporations in Pakistan.

Findings

The statistical results demonstrated that DT is not directly related to firms' TEPs. However, the statistical results supported the mediating role of firms' use of PWAs between DT and TEPs.

Originality/value

The findings offer a new perspective for firms to use HR professionals' DT mindset for modernizing the set of existing HR practices.

Original language	English
Pages (from-to)	653-675
Number of pages	23
Journal	European Journal of Training and Development
Volume	47
Issue number	5-6
Early online date	26 Apr 2022
DOIs	https://doi.org/10.1108/EJTD-09-2021-0150
Publication status	Published - 26 May 2023

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10.1108/EJTD-09-2021-0150

Design thinking: a cognitive resource for improving workforce analytics and training evaluationAccepted author manuscript, 654 KBLicence: Other

Cite this

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title = "Design thinking: a cognitive resource for improving workforce analytics and training evaluation",

abstract = "Purpose The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR) professionals' design thinking (DT) mindset strengthens the set of TEPs using predictive workforce analytics (PWAs). Design/methodology/approach The authors used SPSS computational named MLMED to test the proposed relationships by collecting data from 180 management professionals serving in subsidiaries of multinational corporations in Pakistan. Findings The statistical results demonstrated that DT is not directly related to firms' TEPs. However, the statistical results supported the mediating role of firms' use of PWAs between DT and TEPs. Originality/value The findings offer a new perspective for firms to use HR professionals' DT mindset for modernizing the set of existing HR practices.",

author = "Natasha Zafar and Asadullah, \{Muhammad Ali\} and \{Ul Haq\}, \{Muhammad Zia\} and Siddiquei, \{Ahmad Nabeel\} and Sajjad Nazir",

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doi = "10.1108/EJTD-09-2021-0150",

language = "English",

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T1 - Design thinking: a cognitive resource for improving workforce analytics and training evaluation

AU - Zafar, Natasha

AU - Asadullah, Muhammad Ali

AU - Ul Haq, Muhammad Zia

AU - Siddiquei, Ahmad Nabeel

AU - Nazir, Sajjad

PY - 2023/5/26

Y1 - 2023/5/26

N2 - Purpose The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR) professionals' design thinking (DT) mindset strengthens the set of TEPs using predictive workforce analytics (PWAs). Design/methodology/approach The authors used SPSS computational named MLMED to test the proposed relationships by collecting data from 180 management professionals serving in subsidiaries of multinational corporations in Pakistan. Findings The statistical results demonstrated that DT is not directly related to firms' TEPs. However, the statistical results supported the mediating role of firms' use of PWAs between DT and TEPs. Originality/value The findings offer a new perspective for firms to use HR professionals' DT mindset for modernizing the set of existing HR practices.

AB - Purpose The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR) professionals' design thinking (DT) mindset strengthens the set of TEPs using predictive workforce analytics (PWAs). Design/methodology/approach The authors used SPSS computational named MLMED to test the proposed relationships by collecting data from 180 management professionals serving in subsidiaries of multinational corporations in Pakistan. Findings The statistical results demonstrated that DT is not directly related to firms' TEPs. However, the statistical results supported the mediating role of firms' use of PWAs between DT and TEPs. Originality/value The findings offer a new perspective for firms to use HR professionals' DT mindset for modernizing the set of existing HR practices.

UR - https://www.scopus.com/pages/publications/85130029121

U2 - 10.1108/EJTD-09-2021-0150

DO - 10.1108/EJTD-09-2021-0150

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EP - 675

JO - European Journal of Training and Development

JF - European Journal of Training and Development

IS - 5-6

ER -

Design thinking: a cognitive resource for improving workforce analytics and training evaluation

Abstract

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