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SAGE Publishing launches SAGE Business Cases -

Academic publisher SAGE Publishing has announced the launch of SAGE Business Cases, the first comprehensive business case collection created specifically for the library market. The discipline-wide collection of case studies enables students and researchers to analyse real-world challenges and take on the roles of decision-makers in all types and sizes of businesses.

SAGE Business Cases is launching with 1,000 case studies across the business and management spectrum, including marketing, operations management, small business & entrepreneurship, international business, human resource management and many more. The cases come in a variety of formats and lengths and can be used for a range of pedagogical needs, from illustrating core business and management skills in the classroom to independent student projects. Many cases include instructor-only teaching notes to ensure effective classroom use while saving time for faculty.

To meet the needs of global business faculty and students, the collection comes from a variety of sources: proprietary SAGE cases; specially commissioned peer-reviewed cases from leading academics, and cases from key university and association partnerships.

The collection can be accessed by students and faculty campus-wide, providing a simpler alternative to complex per-case purchases and licensing agreements. Offered on SAGE's digital library platform, SAGE Knowledge, the cases are integrated with SAGE's journal, book, video, and reference content, enhancing discovery. SAGE Business Cases is also complementary to other SAGE Business & Management content, such as SAGE Business Stats, a statistical database that supports research and curricula, and SAGE Business Researcher, a biweekly collection of in-depth reports on the most pressing topics in business and management.

SAGE Business Cases will expand to include 2,500 cases by 2018.

Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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