Exploring the best HRM practices-performance relationship: an empirical approach

摘要

Purpose - This paper aims to empirically examine the linkages between best human resource (HRM) practices, knowledgemanagement, organisational learning, organisational capabilities and organisational performance. The proposed framework and findings intend to add to the understanding of the specific processes that mediate between best HRM practices and organisational performance. Design/methodology/approach - To carry out this research a survey research strategy was followed. The sample frame for this study consisted of Greek firms that belong to the tertiary (services and commerce) sector, employing at least 50 employees. The final research sample consisted of 242 questionnaires. Descriptive statistics as well as structural equation modelling (SEM) techniques were used to analyse the data. Findings - This paper proposes an answer to "how" best HRM practices can influence performance. Results indicate that service and commercial firms pursuing best HRM practices achieve better performance through the interaction of these practices with knowledge management and organisational learning capability and the creation of organisational capabilities. Research limitations/implications - Possible limitations of the study include the relatively small sample size, the use of subjective performance indicators and the measurement of organisational capabilities. Practical implications - The paper can help human resource practitioners and/or managers to understand better the importance of organisational learning and knowledge management processes and the way best HRM practices, through the integration of these two processes, lead to superior and sustainable performance. Originality/value - This paper attempts to shed some light on the processes through which human resource management practices influence performance. Moreover, the value of the human factor in knowledge management and organisational learning initiatives, as well as on organisational capabilities, is explored. While this has already been underlined in the past, there is still no complete model simultaneously describing and testing all those relationships.