PurposeThis study aims to enhance the understanding of competency requirements of supply chain planners and analysts (SCP&As) and identify different personal preferences of hiring managers toward job candidates’ competency profiles.Design/methodology/approachA total of 243 supply chain managers with hiring experience participated in an adaptive choice-based conjoint experiment to uncover the relative importance of six competency attributes, namely, analytical and problem-solving ability, interpersonal skills, general management skills, computer/IT skills, supply chain management (SCM) knowledge and industry experience.FindingsSCM knowledge and analytical and problem-solving ability were identified as the most important competencies and were considered three times more important than general management skills. Based on convergent cluster and ensemble analysis, two types of hiring managers were identified. The first group is characterized by a pronounced preference for job candidates with extensive SCM knowledge. In contrast, the second group’s members prefer candidates with a more balanced competency profile.Originality/valueThe authors’ findings help companies to facilitate a better person–job fit, a key determinant of employee performance and job satisfaction.
Purpose The purpose of this paper is to extend the understanding of supply chain management (SCM) competencies by splitting them into individual and organizational components and measuring their impact on SCM performance. Design/methodology/approach Hypothesized relationships are tested using structural equation modeling and bootstrapping mediation analysis based on a multi-national survey with 273 managers while drawing on the theory of knowledge management and literature streams of individual competencies in the fields of SCM and human resource management (HRM), respectively. Findings The analysis reveals that individual SCM competencies and organizational SCM knowledge positively influence SCM performance to a similar magnitude. Moreover, organizational learning enhances individual competencies and organizational knowledge significantly and equally while corporate training programs fall surprisingly short of expectations. The disentanglement of SCM competencies renders HRM's contribution to SCM visible by revealing the impact of HRM and learning practices on competencies, knowledge, and performance. Research limitations/implications To validate the findings, future research could apply different research methods such as case studies and focus on more countries to reduce potential methodological and regional biases. Practical implications The results suggest that corporate training programs need further development. Organizational learning's strong direct and indirect effects have two main implications: first, it should serve as motivation for organizations to constantly improve their learning capabilities. Second, these only tap its true potential for enhancing SCM performance if they first elevate individual competencies and organizational knowledge. Originality/value This is the first paper to distinguish between individual competencies and organizational knowledge on finely nuanced levels. While the organizational knowledge level effect on performance has been studied before, this paper extends this effect to also hold true for the individual level.
This exploratory study analyzes the careers of 307 supply chain executives (SCEs). Motivated by career theory, our findings create new knowledge about the educational backgrounds and career paths that lead to SCE positions. Based on an optimal matching analysis, we are able to distinguish among six career patterns for SCEs. They differ in terms of the individuals' previous professional experience, educational background, and the time they needed to arrive in an executive position. By characterizing the backgrounds and career paths of SCEs, we show that supply chain management (SCM) is truly a cross-functional profession. Our findings suggest that previous staff responsibility appears to be a more important hiring criterion than extensive SCM experience. While 56% of the executives had prior staff responsibility, only 12% of the cumulated careers were actually spent inside the SCM function.
Despite the spread of automation and new supply chain management paradigms, logistics remains dependent on a rather specific set of skills and competencies, whether for managerial, administrative, or blue-collar jobs, such as trucking or warehousing. This dependence implies that the logistical performance of businesses, industries, and nation states is strongly influenced by the quantity and quality of the workforce. Insufficient resources of a competent and properly trained workforce in logistics adversely affect the quality of service, reduce productivity in sectors dependent on logistics, and ultimately reduce trade competitiveness. While other interventions that affect logistics performance—such as international infrastructures, trade corridors, regulations, and services—have already been reviewed extensively, this report is the first to cover the contributions of human resources and explore how to develop skills and improve competencies, especially in developing countries. The study proposes a framework for the skills needed according to the logistics activity (such as transportation or warehousing) or the type and level of responsibility. Based on several sources, including recent surveys carried out by the World Bank and the Kuhne Logistics University, the report uncovers where the skills constraints are according to the type of job or countries. Findings include that logistics is an industry struggling to hire skilled workers, although with differences between developed countries (where trucker shortages are more acute) and developing economies (where managerial shortages are more widespread). Typically, blue-collar logistics jobs have lower status and lower pay than blue-collar jobs in other industries; they are thus less attractive for skilled workers. In developing countries with a potentially available workforce, lack of vocational preparation for careers in logistics means that less-skilled workers are not easily re-skilled. Logistics tasks at the upper end of the occupational hierarchy and those with high information technology content often require an upskilling of employees to keep pace with new technology. Yet the problem is not confined to recruitment. The surveys point to limited resources, money, and staff time allocated to training, especially in developing countries. Realizing the promise of quality jobs from the growth of logistics worldwide requires a coordinated effort by logistics companies, professional associations, training providers, and policy makers. Through a combination of facilitation, regulation, advice, financial instruments, and land use planning, governments can exert significant influence.