Digital and emerging technologies (SACE Stage 2 Business Innovation)
“Analyse and evaluate the opportunities and challenges that digital and emerging technologies pose for a business.”
Digital and emerging technologies (e-commerce, social media, automation, artificial intelligence, data analytics) open opportunities to reach customers, cut costs and create new value, but they also bring challenges like cost, skills, competition, security and ethics. You need to analyse both sides and evaluate whether and how a venture should adopt a given technology.
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What this dot point is asking
You need to show balanced judgement: not just that technology is exciting, but where it genuinely helps your venture and what risks it brings.
Why this matters in Business Innovation
The course is about designing and transforming business in a fast-changing world, and technology is the biggest driver of that change. A venture that ignores relevant technology can be outcompeted; one that adopts technology badly wastes money. Markers want reasoned evaluation, not hype.
A new or rapidly developing technology, such as artificial intelligence, automation or advanced data analytics, whose business applications are still evolving and whose impact and risks are not yet fully understood.
Opportunities technology creates
- Reach - e-commerce and social media let a small venture sell beyond its local area cheaply.
- Efficiency - automation and software cut the cost and time of repetitive tasks.
- Insight - data analytics reveal customer behaviour and improve decisions.
- New value - AI and digital tools can power offers that were impossible before, such as personalisation at scale.
- Lower entry cost - cloud tools and platforms let ventures start without heavy upfront investment.
The same tools that let your venture start cheaply also let competitors do the same. Easy entry means crowded markets, so a clear value proposition matters more, not less, in a digital world.
Challenges and risks
- Cost and skills - adopting technology takes money and expertise a new venture may lack.
- Cyber security and privacy - holding customer data creates a duty to protect it and legal obligations.
- Dependence - relying on a platform exposes you to its fees and rule changes.
- Ethical concerns - automation can affect jobs, and AI can embed bias or mislead.
- Pace of change - today's tool can be obsolete quickly, so investment carries risk.
The refill-station venture evaluates technology rather than adopting blindly. A simple online booking and subscription system (opportunity: efficiency and recurring billing) is clearly worth it. Customer data from bookings could improve route planning (opportunity: insight) but raises a privacy duty (challenge), so the venture collects only what it needs. An AI marketing tool is judged premature: high cost, low payoff at small scale. The reasoning, not the gadget, earns the marks.
Digital disruption and business model innovation
Emerging technology does not just improve existing businesses; it can disrupt whole industries by enabling entirely new business models. Streaming displaced video rental, ride-sharing platforms reshaped transport, and online marketplaces changed retail, in each case because technology let a new entrant deliver value in a way incumbents could not easily copy. For a Business Innovation student, the lesson is that the most powerful use of technology is often not bolting a tool onto an old model but rethinking how value is created and captured. A venture should ask whether a technology lets it serve customers in a fundamentally better way (faster, cheaper, more personalised, more accessible) rather than merely digitising the current process. Recognising the difference between using technology to optimise and using it to innovate is a high-order evaluative point.
Evaluating adoption
A useful test asks: Does this technology improve the value proposition or the cost structure enough to justify its cost and risk for our stage? Pilot small, measure the effect, and scale only if it works, mirroring the build-measure-learn loop used for the whole venture.
Adding technology as decoration, claiming the venture "uses AI" or "is on social media" without explaining the benefit, cost or risk. Markers reward analysis that weighs a specific technology's opportunities against its challenges for your particular venture and reaches a justified decision.
Linking forward
Technology choices shape several Business Model Canvas blocks (channels, key resources, activities and costs) and the implementation section of your business plan. A balanced evaluation of digital and emerging technologies is an explicit SACE learning requirement and strengthens both the Business Growth Report and the external Business Plan.
Assessment-style questions
Questions on this dot point, each with a worked answer, written by ExamExplained. Business Innovation has no written exam, so use them to check your understanding before your assessment tasks.
Practice4 marksAnalyse two opportunities and two challenges that digital and emerging technologies pose for a new small venture.Show worked answer →
Two opportunities (any two, explained): reach - e-commerce and social media let a small venture sell beyond its local area cheaply; efficiency - automation and software cut the cost and time of repetitive tasks; insight - data analytics reveal customer behaviour to improve decisions; lower entry cost - cloud tools let ventures start without heavy upfront investment.
Two challenges (any two, explained): cost and skills - adopting technology takes money and expertise a new venture may lack; cyber security and privacy - holding customer data creates a legal and ethical duty to protect it; platform dependence - relying on a platform exposes the venture to its fees and rule changes; pace of change - tools can become obsolete, so investment carries risk.
Markers reward two genuine opportunities and two genuine challenges, each explained in relation to a small venture rather than just named.
Practice6 marksEvaluate how a new venture should decide whether to adopt an emerging technology such as artificial intelligence, referring to its stage, value proposition and the associated risks.Show worked answer →
A strong answer argues that adoption should be judged against a clear test: does the technology improve the value proposition or the cost structure enough to justify its cost and risk at the venture's current stage?
For an early-stage venture, the evaluation would weigh AI's potential opportunities (personalisation at scale, automating analysis, lower marginal cost of service) against real challenges (high cost and skills required, data-privacy and bias risks, and often low payoff at small scale). It would likely conclude that adopting AI is premature unless it directly strengthens the core value proposition, and recommend piloting small, measuring the effect, and scaling only if it works, mirroring the build-measure-learn loop.
The best responses reject adopting technology as decoration and reach a justified, stage-appropriate decision. Markers reward the cost-benefit-risk test, the link to stage and value proposition, the ethical/privacy dimension, and a clear recommendation.