A mathematical optimization approach to account for career development, job security, and job satisfaction in human resource planning in construction organizations

Shahbazi, Babak (2020) A mathematical optimization approach to account for career development, job security, and job satisfaction in human resource planning in construction organizations. PhD thesis, University of New South Wales, Australia.

Abstract

The construction industry as a major global employment market momentously contributes to the world's Gross Domestic Product (GDP). Human Resource (HR) planning is a key planning stage in construction projects which has traditionally involved identifying and recruiting the required skill resources as well as allocating the project tasks to individual employees and crews to maintain the maximum productivity. However, apart from these traditional objectives, the increasing importance of corporate social responsibility calls for HR planning to also account for social aspects including workers' future needs as well as employees retention and development. This requires developing workforce planning models that ensure construction workforce develops the skills and capabilities needed for the future while enjoying social benefits including career development opportunities and job satisfaction.Three major challenges of workforce management in construction industry including career development, job security, and job satisfaction are addressed in this thesis. The above social sustainability factors are mathematically incorporated in construction HR planning in order to strengthen the current workforce planning approach. The thesis starts by addressing the imbalance between employee and employer objectives which focus overly on corporate objectives such as maximizing productivity at the expense of workers' career development needs. A mathematical formulation is developed to enable managers to optimize the relationship between these interdependent corporate priorities which resulted in significant improvements in employees' career development opportunities. The thesis continues by proposing a HR sharing model to maximize the job tenure of employees, as a well-emphasized social objective in HR management, by sharing idle employees with required skills between several construction organizations. The model is designed to minimize the impact of trained workers loss and the associated productivity costs of participating organizations.In its last section, the focus of thesis is placed on maximizing employees job satisfaction through proposing a mathematical optimization model for job allocation in construction organization with the objective of maximizing an aggregate job satisfaction function consisting of salary and over-hour working factors. The thesis concludes by outlining the key findings and practical implications of this work in the conclusion chapter as well as providing directions for future works in this area.

Item Type: Thesis (Doctoral)
Thesis advisor: Rey, D and Akbar Nezhad, A
Uncontrolled Keywords: mathematical modelling; human resource management; workforce planning; construction organizations
Index terms: productivity, employment, aggregate, job satisfaction, construction organization, retention, gross domestic product, construction industry, corporate social responsibility, tenure, social sustainability, mathematical modelling, workforce planning, human resource management, manager, social benefit, social aspect, career, human resource, construction project
Subjects: communities and social development, theoretical framing, production management, health safety and environment, analytical methods, economic analysis, organization, materials science, practitioner, sociology, industry analysis, management, professional development, real estate economics
Topics: Urban Studies, Human Resources, Business Strategy, Research Practice, Information Management, Stakeholder Management, Roles and Professions, Health and Safety, Project Management, Engineering Principles
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here