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The world is in a constant state of flux, and this influences the operations of every business and organisation. Business Management: A Contemporary Approach deals with these changes by covering the functions of a business or an organisation and then addressing the contemporary issues that affect them. These issues include globalisation, corporate entrepreneurship and citizenship, credit, diversity and HIV/AIDS. Every student of business and business manager needs to understand the importance of these issues and their influence on the operations of a business. Business Management: A Contemporary Approach also highlights the interdependency between the various business functions. This interdependency is very important for a business or organisation to operate as a whole.
An entrepreneur is different from a manager of a small business in many respects, but largely in attitude and approach. And the right approach hinges on appropriate entrepreneurial skills. Professor Nieuwenhuizen has brought together several experts in the field of entrepreneurship to describe the skills necessary for successful entrepreneurship. The entrepreneurial skills covered in this book include: achievement orientation; creativity and innovation; self-confidence and a positive attitude; goal-setting; assertiveness; time management; networking; leadership and teamwork; creative problem-solving; and, strategies for dealing with conflict and confrontation. This is a guide to success factors for students of business, as well as entrepreneurs starting up a business and those already running an enterprise.
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Business Management for Entrepreneurs introduces entrepreneurs and managers of small and medium-sized businesses to all the functions needed to manage these organizations successfully. This is an essential guide to the small business management competencies that are essential for the success of a smaller business.
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to un...
Classified list with author and title index.