Navigating evolving complexity in the apparel industry: employer expectations for managerial talent—evidence from Bangladesh

As the global apparel industry navigates increasing sourcing complexity, digital transformation, and evolving tariff structures, apparel firms are under growing pressure to recruit managerial talent capable of coordinating cross-functional operations and global supply chain demands. Against this backdrop, this study investigates employer expectations for managerial roles in Bangladesh’s apparel industry, the world’s second-largest exporter of ready-made garments. Drawing on Kunz’s (1995) Behavioural Theory of Apparel Firms, this study analysed 508 managerial job advertisements using content analysis, point-biserial correlation, and one-way ANOVA. Findings show that professional experience, communication skills, and digital proficiency are consistently prioritised across managerial categories, while technical educational degrees are not significantly associated with broader job responsibilities. Significant differences also emerged across job categories, with finance, marketing, and executive management roles exhibiting greater breadth of responsibilities than merchandising and operations. The study offers implications for recruitment, workforce development, and curriculum alignment in export-oriented and globally integrated apparel industries.

Authors

Institutions

Publication Details

Journal
International Journal of Fashion Design Technology and Education
Published
2026-06-27
DOI
https://doi.org/10.1080/17543266.2026.2688322
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating evolving complexity in the apparel industry: employer expectations for managerial talent—evidence from Bangladesh

Ishtehar Sharif Swazan, Debanjan Das, Xun Sun
International Journal of Fashion Design Technology and Education
Human Resource and Talent Management
article

Navigating evolving complexity in the apparel industry: employer expectations for managerial talent—evidence from Bangladesh

Ishtehar Sharif Swazan, Debanjan Das, Xun Sun
article en

Abstract

As the global apparel industry navigates increasing sourcing complexity, digital transformation, and evolving tariff structures, apparel firms are under growing pressure to recruit managerial talent capable of coordinating cross-functional operations and global supply chain demands. Against this backdrop, this study investigates employer expectations for managerial roles in Bangladesh’s apparel industry, the world’s second-largest exporter of ready-made garments. Drawing on Kunz’s (1995) Behavioural Theory of Apparel Firms, this study analysed 508 managerial job advertisements using content analysis, point-biserial correlation, and one-way ANOVA. Findings show that professional experience, communication skills, and digital proficiency are consistently prioritised across managerial categories, while technical educational degrees are not significantly associated with broader job responsibilities. Significant differences also emerged across job categories, with finance, marketing, and executive management roles exhibiting greater breadth of responsibilities than merchandising and operations. The study offers implications for recruitment, workforce development, and curriculum alignment in export-oriented and globally integrated apparel industries.

International Journal of Fashion Design Technology and Education
West Virginia University (US), East Carolina University (US), Illinois State University (US)
Decent work and economic growth
Openalex Percentile: Top 3%
Human Resource and Talent Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.