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James Cook University Subject Handbook - 2024

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

BX3173 - Innovation Driven Entrepreneurship

Credit points:03
Year:2024
Student Contribution Band:Band 4
Prerequisites:18 CP OF SUBJECTS
Administered by:College of Business, Law & Governance

Subject Description

    Innovation driven entrepreneurship explores strategy and entrepreneurship presenting these integrated areas in a theoretical, applied and experiential manner based on key themes. These include mainstream and social entrepreneurship identifying commonalities and differences between each category. Moving between strategy and operations it illustrates the links between the two areas and explains how both are necessary for entrepreneurial success. The subject achieves this through discussion of the agile design methodology in customer development and the lean venture with analysis of numerous theoretical and empirical examples in developing a competitive business.

Learning Outcomes

  • explain the nature of entrepreneurship and its importance economically and socially in an international, national & regional context
  • identify the types of entrepreneurs and their activities; traditional & social; ethnic & indigenous
  • analyse the role played between innovation and entrepreneurial activity to sustain a viable business
  • develop strategic entrepreneurial skills by identifying and analysing opportunities demonstrating feasibility
  • explain and examine functions of a business model and demonstrate the skills in developing a viable model to exploit entrepreneurial opportunity

Subject Assessment

  • Written > Case study analysis - (25%) - Individual
  • Written > Project report - (40%) - Group
  • PART 1: Innovation Proposal (20%) PART 2: Elevator Pitch (15%) - (35%) - Individual

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Inadmissible Subject Combinations:  MG3735 MG3713 BX3072 BX3073

Availabilities

Cairns Nguma-bada, Trimester 1, Internal

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
MS Julie Edwards
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Seminars
  • 10 Hours - Online activity - Recordings, online activities and self-directed learning

JCU Brisbane, Trimester 1, Internal

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
MR Luke Spiller
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising session
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Brisbane, Trimester 2, Internal

Census date:Thursday, 13 Jun 2024
Study Period Dates:Monday, 20 May 2024 to Saturday, 24 Aug 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
MR Luke Spiller
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising session
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Brisbane, Trimester 3, Internal

Census date:Thursday, 10 Oct 2024
Study Period Dates:Monday, 16 Sep 2024 to Saturday, 14 Dec 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
MRS Jennifer Ah Fock
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 10 Hours - Tutorials - Synthesising session
  • 10 Hours - Online activity - Recordings, online activities & self-directed learning

JCU Singapore, Trimester 2, Internal

Census date:Thursday, 13 Jun 2024
Study Period Dates:Monday, 20 May 2024 to Saturday, 24 Aug 2024
Coordinator(s):
DR Adrian Bradshaw
Lecturer(s):
MR Paul Singh
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU

JCU Singapore, Trimester 3, Internal

Census date:Thursday, 10 Oct 2024
Study Period Dates:Monday, 16 Sep 2024 to Saturday, 14 Dec 2024
Coordinator(s):
DR Adrian Bradshaw
Professor Adrian Kuah
Lecturer(s):
MR Paul Singh
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU

Townsville Bebegu Yumba, Trimester 1, External

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
DR Leonie Cassidy
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Online activity - Recordings, online activities and self-directed learning
  • 10 Hours - Online Tutorials - Online Collaborate sessions
Method of delivery:WWW - LearnJCU

Townsville Bebegu Yumba, Trimester 1, Internal

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
DR Leonie Cassidy
Lecturer(s):
MR Alec Spencer
MR Nisbat Ali
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 30 Hours - Seminars
  • 10 Hours - Online activity - Recordings, online activities and self-directed learning