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Title: Advances in Business & Management
Sub-title: Volume 6
Edited by: William D Nelson
ISBN10-13: 1629487309 : 9781629487304
Format: Hardback
Size: 260x180mm
Pages: 169
Weight: .488 Kg.
Published: Nova Science Publishers, Inc (US) - March   2014
List Price: 163.99 Pounds Sterling
Availability: In Stock   Qty Available: 1
Subjects: Management & management techniques
This book presents research in the field of business and management from around the world. This book provides a meta-theoretical framework for understanding the nature of organisational wisdom based on learning traditions. The authors of this book also draw some guidelines that can be useful in approaching the concept of the business model in a well-structured way, providing an in-depth investigation of the various research streams and perspectives. Other chapters review the contemporary corporate governance framework in Chinese listed firms after the substantial financial reform in 2005; statistical tools developed to measure latent traits widely used in education and psychology, called Item Response Theory; the concept of brand promise and what it means to the consumer stakeholder; tourism consumption patterns in terms of economic development; and deterministic and stochastic business cycle models that incorporate consumption in specific ways.
Table of Contents:
Preface; Understanding Organisational Wisdom from the Perspective of Learning Networks; Mapping Business Model Components: Results from an Empirical Research; Chinese Corporate Governance Development: Related Party Transactions & their Governance; A New Perspective on Corporate Social Responsibility in Emerging Markets: An Empirical Study of Foreign Retail Firms in China; Measuring Latent Traits In E-Commerce with the Item Response Theory; Understanding the Consumer’s Meaning of Brand Promise: A Qualitative Interpretive Study; Large–Scale Tourism Development: An Investigation into the Likely Impacts of the Proposed Trump Golf Scotland Development; A Close Look to Consumption in Deterministic & Stochastic Business Cycle Models; Index.
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