Applying change management models to the revalidation of an undergraduate Accounting & Finance programme – a study in the UK higher education
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 166
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJFMA-2-8_001
تاریخ نمایه سازی: 13 آذر 1400
Abstract:
Obtaining exemptions from professional bodies’ examinations has become important for institutions in the higher education sector and there is a growing attention to provide such exemptions to graduating students. However, incorporating necessary changes to the teaching syllabus and meeting the required changes in assessments and other areas of teaching and the related syllabus, can be difficult, hence learning from cases will add to the body of knowledge. This paper uses several change management (CM) models to analyse the context and then highlights the CM problem, which was ‘resistance’ to a major curriculum change programme experienced in a higher education institution in the UK. Key stakeholders were identified in this process together with potential outcomes and salient conclusions. Despite resistance and refocusing, the eventual outcome was a new accounting programme which simultaneously satisfied. Faculty requirements and offered future students potentially nine professional exemptions (the maximum exemptions available) from the Association of Chartered Certified Accountants (ACCA) UK and the opportunity to pursue conceptual accounting studies, which would improve their skills and employability.
Keywords:
Change management , accounting education and curriculum , professional body accreditation , change management models
Authors
Faisal Sheikh (FCCA)
Salford University, Salford Business School, UK (Corresponding author)
Brian Leigh
Salford University, Salford Business School, UK
Hassan Yazdifar
Salford University, Salford Business School, UK
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :