|Faculty:||Bond Business School|
The first of an innovative, two-subject sequence, Business Model Generation leads students through a systematic process to invent, design and implement new business models. It is an adaptive, iterative and collaborative approach that can be used to create value for customers, organisations and society. Despite the emphasis on business models, the process is equally useful in a variety of contexts from non-profit ventures to organisational change. A primary focus of this subject is on applying the tools and techniques needed to design, test and validate a business model to meet an identified real need, opportunity or problem. Within this context, students have the opportunity to develop their creativity, communication, collaboration and related skills while fostering a comprehensive business perspective integrating a broad range of disciplinary knowledge from previous studies in marketing, accounting, management, finance, information technology and other areas. At the end of this subject, you will be part of a team primed to take a specific business through its life cycle of launching through to shutting down in the next subject, Business Model Execution.
- Define what a business model is, describing its key elements and how they interrelate.
- Apply the tools and techniques of business model generation (e.g., customer empathy map, ideation techniques, visual thinking tools, prototyping, storytelling) to discover customer needs and develop validated products and services to meet those needs.
- Evaluate the strengths and weaknesses of a given business model and consider its economic, social and environmental implications.
- Demonstrate interpersonal skills and teamwork in the design and validation of a business model.
- Deliver a persuasive presentation of your validated business model using appropriate visual aids.
- Create various written documents using appropriate style, tone and format for a given audience.
- Demonstrate the ability to reflect on, evaluate and extract insights and new learning from your experiences.
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
This subject is not available to
Students must have successfully completed 120 credit points of their program prior to undertaking this subject.
This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.
- May 2023 [Standard - Standard [May 2023]]
- January 2023 [Standard - Standard [January 2023]]
- September 2022 [Standard - Standard [September 2022]]
- May 2022 [Standard - Standard [May 2022]]
- January 2022 [Standard - Standard [January 2022]]
- September 2021 [Standard - Standard [September 2021]]
- May 2021 [Standard - Standard [May 2021]]
- January 2021 [Standard - Standard [January 2021]]
- September 2020 [Standard - Standard [September 2020]]
- May 2020 [Standard - Standard [May 2020]]
- January 2020 [Standard - Standard [January 2020]]
- September 2019 [Standard - Standard [September 2019]]
- May 2019 [Standard - Standard [May 2019]]
- January 2019 [Standard - Standard [January 2019]]
Standard Offering Enrolment opens: 17/07/2022 Semester start: 12/09/2022 Subject start: 12/09/2022 Cancellation 1: 26/09/2022 Cancellation 2: 03/10/2022 Last enrolment: 25/09/2022 Withdraw - Financial: 08/10/2022 Withdraw - Academic: 29/10/2022 Teaching census: 07/10/2022
Standard Offering Enrolment opens: 13/11/2022 Semester start: 16/01/2023 Subject start: 16/01/2023 Cancellation 1: 30/01/2023 Cancellation 2: 06/02/2023 Last enrolment: 29/01/2023 Withdraw - Financial: 11/02/2023 Withdraw - Academic: 04/03/2023 Teaching census: 10/02/2023
Standard Offering Enrolment opens: 19/03/2023 Semester start: 15/05/2023 Subject start: 15/05/2023 Cancellation 1: 29/05/2023 Cancellation 2: 05/06/2023 Last enrolment: 28/05/2023 Withdraw - Financial: 10/06/2023 Withdraw - Academic: 01/07/2023 Teaching census: 09/06/2023
|Withdraw - Financial:||08/10/2022|
|Withdraw - Academic:||29/10/2022|
|Withdraw - Financial:||11/02/2023|
|Withdraw - Academic:||04/03/2023|
|Withdraw - Financial:||10/06/2023|
|Withdraw - Academic:||01/07/2023|