HUMAN RESOURCE MANAGEMENT: GAINING A COMPETITIVE ADVANTAGE (13版)

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Human Resource Management: Gaining a Competitive Advantage作  /  譯    者 ：Raymond A. Noe,John R. Hollenbeck,Barry Gerhart,Patrick M. WrightI S B N -  13 ：9781265064013I S B N -  10 ：1265064016類             別：人力資源管理 版             次：13 版年             份：2023規             格：791 頁出     版     商：McGraw Hill Education 內容簡介 Human Resource Management: Gaining a Competitive Advantage 13e offers comprehensive coverage of HRM concepts that teach students how to strategically overcome challenges and gain competitive advantage in the workplace. Based on the authors' diverse research, teaching and consulting experiences, this product has incredibly strong depth and breadth that is current in research and practice simply not found in other texts. 目錄 Ch 1 Human Resource Management: Gaining a Competitive Advantage PART I: THE HUMAN RESOURCE ENVIRONMENT Ch 2 Strategic Human Resource Management Ch 3 The Legal Environment: Equal Employment Opportunity and Safety Ch 4 The Analysis and Design of Work PART II: ACQUISITION AND PREPARATION OF HUMAN RESOURCES Ch 5 Human Resource Planning and Recruitment Ch 6 Selection and Placement Ch 7 Training PART III: ASSESSMENT AND DEVELOPMENT OF HUMAN RESOURCES Ch 8 Performance Management Ch 9 Employee Development Ch10 Employee Separation and Retention PART IV: COMPENSATION OF HUMAN RESOURCES Ch11 Pay Structure Decisions Ch12 Recognizing Employee Contributions with Pay Ch13 Employee Benefits PART V: SPECIAL TOPICS IN HUMAN RESOURCE MANAGEMENT Ch14 Collective Bargaining and Labor Relations Ch15 Managing Human Resources Globally Ch16 Strategically Managing the HRM Function

Electromagnetic Theory and Computation a Topological Approach

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Although topology was recognized by Gauss and Maxwell to play a pivotal role in the formulation of electromagnetic boundary value problems, it is a largely unexploited tool for field computation. The development of algebraic topology since Maxwell provides a framework for linking data structures, algorithms, and computation to topological aspects of three-dimensional electromagnetic boundary value problems. This book attempts to expose the link between Maxwell and a modern approach to algorithms. The first chapters lay out the relevant facts about homology and cohomology, stressing their interpretations in electromagnetism. These topological structures are subsequently tied to variational formulations in electromagnetics, the finite element method, algorithms, and certain aspects of numerical linear algebra. A recurring theme is the formulation of and algorithms for the problem of making branch cuts for computing magnetic scalar potentials and eddy currents. Appendices bridge the gap between the material presented and standard expositions of differential forms, Hodge decompositions, and tools for realizing representatives of homology classes as embedded manifolds.