Dynamics of Organizational Citizenship Behaviour and Performance with TQM & Knowledge Management - Anisa, H.
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In this era of globalization, liberalization, and knowledge driven economy, Human Resources Management (HRM) has gained importance more than ever before. This is because organizations have realized that the most precious resource today is the human resource, and accordingly, one of the most popularly used concept today in HRM is Organizational Citizenship Behaviour (OCB). Although the concept has extended beyond the organization to Inter-Organizational Behaviour (Autry et al., 2008) and Global Citizenship Behaviour (DGIS, 2009), the concept is still practiced in its true sense as OCB with the…mehr

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Produktbeschreibung
In this era of globalization, liberalization, and knowledge driven economy, Human Resources Management (HRM) has gained importance more than ever before. This is because organizations have realized that the most precious resource today is the human resource, and accordingly, one of the most popularly used concept today in HRM is Organizational Citizenship Behaviour (OCB). Although the concept has extended beyond the organization to Inter-Organizational Behaviour (Autry et al., 2008) and Global Citizenship Behaviour (DGIS, 2009), the concept is still practiced in its true sense as OCB with the same set of dimensions with very little changes. This book describes a research which is an interdisciplinary research with areas such as Organizational Citizenship Behaviour (OCB), Total Quality Management (TQM), Knowledge Management (KM), and Overall Performance of the organization (PERF). The literature is full of research undertakings on various aspects of Human Resource Management (HRM) and addresses how it can influence the performance of an organization and provide the competitive advantage through value addition to the employees. The OCB has been considered as one of the key components of HRM and several researchers have directly linked it to the Overall Performance (PERF) of the organization. But many of these researchers have either overlooked, or ignored the fact that along with OCB, there are also other enablers which concurrently contribute to the overall performance of the organization. So, there is no clear empirical evidence on whether this performance enhancement is purely due to the OCB, or through a collective effort of several management initiatives which are operating concurrently towards performance enhancement. TQM and KM emerge out as the two major contributors to performance and the present research draws attention to these two variables.This book covers the influence of OCB, KM, TQM on PERF of select knowledge intensive service organizations, with special emphasis on the direct as well as moderating influences. It also: (1) Identifies the dimensions which constitute the OCB, KM, TQM, and PERF as relevant to knowledge intensive service organizations, (2) Develops a metric to measure research variables and validate it, (3) Develops a structural research model through meta-analysis of literature so as to relate the above variables, (4) Develops research propositions to address the interrelationships of these variables, (5) Collects and analyzes the data from the select knowledge intensive service organizations to obtain the empirical evidence for the inter-relationships between the research variables and (6) Draws implications and make suggestions to the organizations to enhance the overall performance of the organization. There is literature evidence that OCB is contributing to the overall performance of the organizations. While most of them are theoretical and use deductive model of reasoning, very few of them provide empirical evidence to support the relationship. So, it is necessary to seek further empirical evidence to justify the initiatives taken by the organization to strengthen the OCB. This research adopts the use of Structural Equation Modelling (SEM) with Partial Least Square Method (PLSM). The rationale for this choice is the simple fact that partial least square path modelling is an analytic technique that runs Principal Component Analysis (PCA) and Regression Analysis (RA) simultaneously and is most effective in defining multicolinearity. The book describes an empirical study based on the questionnaire survey. The main objective of the book is to seek interrelationships between the research variables. At the end, the outline of the entire work has been given for ease of reading.