Group Size
?
1.) Small group (teams of 4-6)
2.) Individual Task
3.) Large Group
4.) Any
Any
Learning Environment
?
1.) Lecture Theatre
2.) Presentation Space
3.) Carousel Tables (small working group)
4.) Any
5.) Outside
6.) Special
Carousel Tables (small working group)
QAA Enterprise Theme(s)
?
1.) Creativity and Innovation
2.) Opportunity recognition, creation and evaluation
3.) Decision making supported by critical analysis and judgement
4.) Implementation of ideas through leadership and management
5.) Reflection and Action
6.) Interpersonal Skills
7.) Communication and Strategy
1Creativity and Innovation
2Opportunity recognition‚ creation and evaluation
3Decision making supported by critical analysis and judgement
6Interpersonal Skills
7Communication and Strategy
0Digital and Data Skills
This 20 credit level 7 module covers the fundamental principles of technology innovation, and the core knowledge required to run a technology start-up. The module provides a systematic and practical framework for the development of new high-technology ventures, with a particular focus on product development, intellectual property, technology commercialisation and venture capital. The student doesn’t have to be an engineer or a scientist to understand and analyse technological venture opportunities. The module is based on the principle that finding a purpose for a particular technology or set of resources and matching it to the right business model is what transforms ideas into economic outputs such as sales and profit.
The module runs over 8 weeks in a trimester. The module is run as 4-hour (half day) workshops each week. In addition to four units (topics), there are three venture labs that provide an opportunity for formative assessment. The summative assessment (report 100% weight) is due two weeks after week 8. Students are split into groups of 4-5 students for their assessments in the first week. The final report should be a living, breathing manual on the technological opportunity, and will be absolutely vital if students ever need to further develop the technology, product, or business, or seek funding from an investor.
The weekly schedule of content and activities is as follows:
Week 1: Unit 1 - Basics of Technology Innovation and Entrepreneurship
Key Sources: OECD (2005), Diaconu (2011), Runge (2014)
This unit satisfies Objective 1.
Week 2: Venture Lab 1 - Opportunity Identification and Analysis
This venture lab satisfies part of objective 2 (Identifying Customer needs) and allows them to choose most suitable technologies (using knowledge and understanding of barriers to technology commercialisation from module 1) that will solve the customer problem.
Week 3: Unit 2A - New Product Development 1(NPD 1) - Students learn to use a multi-criterion decision making method “AHP or Analytical Hierarchy Process” (Saaty, 1987) to turn consumer needs into numerical weights and then compare competitive products to rank the innovations. Using the example of technology products, work with them to show how AHP works. For example, you could choose Bluetooth ear buds as an example. The workings can be demonstrated by building Microsoft excel worksheets in the classroom as you progress through the various steps or one could also demonstrate using free online semi-automatic tools such as easyAHP (http://www.easyahp.com/).
This unit satisfies Objective 2.
Week 4: Unit 2B - New Product Development 1(NPD 2) - Students screen for exceptional opportunities and integrate opportunity screening with QFD (Quality Function Deployment) (Erdil and Arani, 2019) method. QFD is a system for translating consumer requirements into appropriate company requirements at each stage, from research and product development to engineering and manufacturing to marketing/sales and distribution.
This unit satisfies Objective 2.
Week 5: Unit 3 - Intellectual Property (IP) – Patents
Key Sources: Shear and Kelley (2003), EUIPO (2014), UKIPO (2015)
This unit satisfies Objective 3.
Week 6: Unit 4 - Commercialising Innovations + Venture Capital (VC)
Key Sources for Commercialisation: Kline and Rosenberg (2010), Auerswald and Branscomb (2003)
Key Sources for Venture Capital: Cremades (2018), Lord and Mirabile (2018), Alford (2017), Crunchbase (2019)
This unit satisfies Objective 1 and Objective 4.
Week 7: Venture Lab 2 (Customer led product development) : Students must continue to work in their assessment groups and conduct analysis of customers, competition, and product (using AHP and QFD) in the lab with tutor support.
A. Customers. Before the lab, it is expected that students must have researched and conducted preliminary analysis of customers based on the following guidance. They are expected to refine their analysis in the lab with tutor support.
B. Competition and Positioning. Before the lab, it is expected that students must have researched and conducted preliminary analysis of customers based on the following guidance. They are expected to refine their analysis in the lab with tutor support.
5. Who else serves this customer need? Who might attempt to serve this market in the future?
6. What advantages and weaknesses do these competitors and would-be competitors have?
7. What share of the market do specific competitors serve?
8. Are the major competitors' sales growing, declining, or steady?
9. What are the barriers to entry for you? What are the barriers to entry for additional competitors?
10. How could partners and allies best help you overcome competition from established enterprises or other start-ups ?
C. AHP and QFD Analysis. Student teams must evaluate what technical attributes (and technologies) can meet or exceed customer needs more effectively compared to competing alternatives.
This venture lab satisfies Objectives 2 and 4.
Week 8: Venture Lab 3 (Commercialisation / Business modelling) : Students must continue to work in their assessment groups and conduct intellectual property and financial analysis in the lab with tutor support, and then visualise their commercialisation pathway and business model.
A. Analysis (IP, Financial and Risks) - Before the lab, it is expected that students must have researched and conducted preliminary analysis of customers based on the following guidance. They are expected to refine their analysis in the lab with tutor support.
B. Visualisation tasks
5. Draw a commercialisation roadmap of their opportunity. Student can use online product roadmap tools, for e.g., from Lucidchart (https://www.lucidchart.com/pages/templates/product-roadmap).
6. Draw a visual business model. Students can use online tools such as the Board of Innovation tool on Miro (https://miro.com/miroverse/the-business-model-kit/).
This venture lab satisfies Objectives 3,4 and 5.
The module bridged the technical challenge for students who did not have a science or engineering background. One student mentioned “I found the module interesting as I come from a non-tech or non-IT background, so this was new and challenging at the same time. I had some basic theoretical knowledge but as a result of completing this module I was able to implement some of the tech theories. The teaching methods adopted were effective and the interactive seminars made it easy for me to understand”. Another student with a background in sociology commented “Within my MBA at LBU I completed a Technological Entrepreneurship module, where I learnt about various tools including QFD. This tool facilitated my learning within the module as well as a project I was involved in with Leeds City Council, by enabling me to assess how proposed technology – a digital red bag – could meet the requirements of beneficiaries and stakeholders, but also make comparison to other existing technology.”
Technology entrepreneurship has an interdisciplinary nature requiring the coordination of actors from different disciplines; therefore, it should be accessible to students with non-tech background as well. Due to availability of limited resources during the initial stages of venture creation, an entrepreneur may have to wear several hats of Marketing, Operation (Technical/Non-Technical), Finance etc.. Someone with an engineering or science background can do all the other functions, but it could quickly consumer most of their time. The smartest engineers and scientists team up with visionary business- people who understand how technology can solve human problems. The best example is that of Apple; although Steve jobs understood technology, the inventive work was done by his co-founder Steve Wozniak.
Many start-up founders are passionate engineers, designers or business people who want to build amazing things - apps, platforms, robots and more. Many engineers and scientists build great technologies but fail to identify the right problem and end up joining the start-up graveyard. The real talent in entrepreneurship, not only for technology start-ups, is finding the right problem, not building the right solution. In solving the right problem, one can combine existing technologies to come up with product(s) or service(s) concepts and designs, and create opportunities with ‘commercial’ potential. One therefore does not have to build a new piece of technology to be a technology entrepreneur. The module encourages non-scientists and non-engineers to pursue technology entrepreneurship by giving them tools and techniques to identify the right problem and opportunity, and team up with the right people.
Future Professional Value
“Tools in the tech entrepreneurship module were a lot useful, tools like AHP, QFD not only helped me out in the project but also in my own business to filter out the weightage of attributes and make the decision making easy. “
Strategic Thinking
“The experimenting with different ideas added up to knowledge base of mine about different business, what strategies can work out, what vision do different business carry and overall it opened up the business mind of mine.”
Environmental Sustainability
“The major learning was that there is much that can be done to make useful products out of waste and help towards the keeping the environment healthy.”
Research Skills
“I had a really great time doing this particular module and how we as a team did interviews/questionnaire and other research and came up with a business idea/plan.”
Alignment with Assessment
“One thing that I would like to highlight is the activities you made us do during seminars for example how to use analytical tool such as AHP. It was a great initiative as you never learn something unless you do it on your own. This helped me during my final assessment as well. The other concepts such as stage gate, Patent analyses were of significance to my final project as well.”
Theory / Practice bridge
“Everything we did in the module became clearer when we got the full understanding, when we had those lab sessions with you. You were able to let us know that you can start off something and it doesn’t mean it is going to work, it might work, it might not work, you can change the journey, the route, and what can make the project or the vision realisable. From there we were able to understand what we were doing. You were very good at breaking down the processes, so it was a very nice moment.“
New Product Development tools
Patent Searches
Commercialisation roadmaps
Business Modelling
‘Board of Innovation’s’ business model toolkit on Miro offers an excellent ecosystem of icons: https://miro.com/miroverse/the-business-model-kit/
ALFORD, H. 2017. How Angel Investors Value Pre-Revenue Startups (Part I) -Scorecard Valuation Method [Online]. Available: https://medium.com/humble-ventures/how-angel-investors-value-pre-revenue-startups-250b5fdcd1e6 [Accessed 02 April 2023].
AUERSWALD, P. E. & BRANSCOMB, L. M. 2003. Valleys of death and Darwinian seas: Financing the invention to innovation transition in the United States. The Journal of technology transfer, 28, 227-239.
CREMADES, A. 2018. How Venture Capital Works [Online]. Available: https://www.forbes.com/sites/alejandrocremades/2018/08/02/how-venture-capital-works/?sh=33cfbb5c1b14 [Accessed 02 April 2023].
CRUNCHBASE. 2019. The Ultimate Guide to Raise Capital for a Startup [Online]. Available: http://about.crunchbase.com/wp-content/uploads/2019/10/Ultimate-guide-raising-startup-capital.pdf [Accessed 02 April 2023].
DETAND, J., VERVISCH, T., CHRISTIAENS, Y., DETAND, J. & RUXU, D. 2018. The design of a composite folding bike to improve the user experience of commuters. MATEC Web of Conferences, 167.
DIACONU, M. 2011. Technological Innovation: Concept, Process, Typology and Implications in the Economy. Theoretical & Applied Economics, 18.
ERDIL, N. O. & ARANI, O. M. 2019. Quality function deployment: more than a design tool. International Journal of Quality and Service Sciences, 11, 142-166.
EUIPO. 2014. IP Advanced Part I - Patents, utility models and designs. Intellectual Property Teaching Kit.
KLINE, S. J. & ROSENBERG, N. 2010. An overview of innovation. Studies on science and the innovation process: Selected works of Nathan Rosenberg, 173-203.
KUKUTAI, A., FUNG, I. & PLACE, J. 2020. Agrifood investment trends in the COVID-19 era [Online]. Available: https://pitchbook.com/news/articles/agrifood-investment-trends-in-the-covid-19-era [Accessed 01 April 2023].
LORD, H. & MIRABILE, C. 2018. Venture Capital: A Practical Guide to Fund Formation and Management. Available: https://seraf-investor.com/compass/article/dividing-pie-how-venture-fund-economics-work-part-i [Accessed 02 April 2023].
OECD. 2005. The measurement of scientific and technological activities. Proposed Guidelines for Collecting an Interpreting Technological Innovation Data.
RUNGE, W. 2014. Technology entrepreneurship. A Treatise on Entrepreneurs and Entrepreneurship for and in Technology Ventures, 2, 1069.
SAATY, R. W. 1987. The analytic hierarchy process—what it is and how it is used. Mathematical modelling, 9, 161-176.
SCAROTT, B. 2023. The best true wireless earbuds 2023: top AirPods alternatives today [Online]. Available: https://www.techradar.com/news/best-true-wireless-earbuds-the-best-airpod-alternatives-around [Accessed 01 April 2023].
SHEAR, R. H. & KELLEY, T. E. 2003. A researcher's guide to patents. Plant Physiol, 132, 1127-30.
UKIPO. 2015. The Patent Guide - A handbook for analysing and interpreting patent data, Second Edition.