A Dynamic Competence-Portfolio Model for Modern Secretarial Roles

Thesis Abstract

This study addresses the gap in understanding how modern secretarial roles can be operationalized through a dynamic competence-portfolio that aligns individual capabilities with evolving organizational needs in knowledge-intensive environments. The problem centers on the mismatch between traditional job specifications and the rapid diversification of competencies required by executive support professionals in corporate, academic, and public-sector settings, which impedes career progression, performance, and strategic value addition. The aim is to develop a dynamic competence-portfolio model that captures, aggregates, and deploys core competencies, adaptive skills, and contextualized behaviors to support executive workflows in volatile environments. Specific objectives are to (i) identify a comprehensive set of core, supplementary, and adaptive competencies for modern secretaries; (ii) theorize a dynamic portfolio framework that links individual competencies to organizational outcomes; (iii) examine the role of continuous learning and reflective practice in portfolio evolution; (iv) validate the model through empirical testing across diverse sectors; and (v) provide evidence-based guidance for curriculum design, professional development, and performance appraisal. The study adopts a mixed-methods, sequential design anchored in organizational competence theory and the dynamic capabilities framework. In the qualitative phase, 40 in-depth interviews are conducted with senior executive assistants, personal assistants, and secretarial managers across finance, healthcare, academia, and government sectors to elicit nuanced competency domains, deployment contexts, and portfolio evolution mechanisms. The quantitative phase involves a cross-sectional survey of 320 secretarial professionals drawn via stratified random sampling to ensure representation by sector, tenure, and organizational size. Instruments include a structured competency inventory developed from prior literature and interview findings, a portfolio-configuration questionnaire, and a performance impact scale aligned with key outcomes such as efficiency, error rates, stakeholder satisfaction, and adaptability. Validity is established through expert panel reviews and content validity indices, while reliability is assessed via Cronbach’s alpha and composite reliability measures (target >0.80). Data analysis employs descriptive statistics, exploratory and confirmatory factor analysis to identify latent competency dimensions, and structural equation modeling (SEM) to test the hypothesized relationships among portfolio dynamics, competency deployment, and performance outcomes. Thematic analysis is applied to qualitative transcripts to triangulate quantitative findings and refine the portfolio model. Multigroup SEM tests potential sectoral moderations, while time-series insights are explored through retrospective portfolio-change narratives to illustrate dynamic trajectories. Key expected findings include (a) a multi-dimensional competency taxonomy comprising core technical-skill, interpersonal-managerial, digital-analytic, and contextual-adaptive competencies; (b) a dynamic portfolio architecture with modular components that individuals add, retire, or reconfigure in response to task complexity and strategic priorities; (c) evidence that continuous learning practices and reflective action underpin portfolio evolution and correlate positively with efficiency, stakeholder satisfaction, and error reduction; (d) sector-specific variations in portfolio emphasis driven by organizational demands and governance structures; and (e) validation of a structurally sound model where portfolio alignment mediates the relationship between individual capability development and organizational performance. The study contributes to knowledge by (i) operationalizing a theoretically grounded, dynamic competence-portfolio for secretarial roles, integrating dynamic capabilities with competence theory; (ii) providing an empirically validated framework that links portfolio configuration to measurable performance outcomes; (iii) offering a scalable instrument for career development, curriculum design, and performance appraisal; and (iv) informing human resource practices on succession planning and strategic resource allocation for executive support functions. The main conclusion anticipates that secretarial effectiveness hinges on deliberate, adaptable portfolio configurations underpinned by continuous learning, with measurable impacts on organizational agility and executive productivity. Practical recommendations include implementing portfolio management software for real-time tracking, embedding reflective practice in professional development, designing sector-tailored competency curricula, and incorporating portfolio-based metrics into appraisal systems to recognize adaptive expertise and contribution to strategic objectives.