Responsible, Sustainable and Inclusive Innovation

Introduction: Innovation as a Societal Responsibility

Innovation is often described as the successful implementation of a new or significantly improved product, process, service, business model or social practice. In entrepreneurship, however, novelty and commercial success are not sufficient tests of quality. An innovation can create revenue while increasing pollution, excluding users, weakening labour rights, intensifying surveillance or shifting risks to communities that have little power in the decision process.

Responsible, sustainable and inclusive innovation broadens the entrepreneur’s question from “Can we build and sell this?” to “For whom, under what conditions, with what consequences, and for how long?” It treats value as multidimensional: economic value must be considered alongside environmental integrity, social wellbeing, accessibility, fairness, accountability and long-term resilience.

This chapter integrates five complementary perspectives:

• Circular design, which seeks to eliminate waste and maintain materials and products at their highest useful value.
• Life-cycle thinking, which examines impacts from resource extraction through production, use and end-of-life.
• Accessibility and inclusive design, which seek meaningful participation by people with diverse abilities, identities, resources and contexts.
• Social innovation, which develops new arrangements that address social needs and redistribute capability or opportunity.
• Responsible innovation and ESG, which provide ethical and governance mechanisms for anticipating consequences, engaging stakeholders and making impacts accountable.

These perspectives are strategic rather than merely compliance-oriented. They can reduce risk, reveal underserved markets, improve legitimacy, stimulate new business models and strengthen an organisation’s capacity to adapt.

Learning Objectives

By the end of this chapter, students should be able to:

1. Explain the principles of responsible, sustainable, circular, inclusive and social innovation.
2. Apply life-cycle thinking to products, services and business models.
3. Distinguish accessibility from broader inclusive design.
4. Map stakeholders, impacts, dependencies and unintended consequences.
5. Evaluate ethical trade-offs using structured criteria rather than intuition alone.
6. Interpret ESG issues and design practical indicators of performance.
7. Propose an innovation approach that is commercially viable, socially legitimate and environmentally responsible.

1. From Innovation to Responsible Innovation

1.1 Four tests of a responsible innovation

A responsible innovation should be evaluated through four connected tests:

1. Desirability: Does it address a real and important need, as experienced by affected people?
2. Viability: Can it sustain an economically credible organisation or ecosystem?
3. Feasibility: Can it be produced, delivered and maintained with available capabilities and infrastructure?
4. Legitimacy: Is it consistent with rights, justice, ecological limits, professional duties and public expectations?

Traditional design-thinking models commonly emphasise desirability, feasibility and viability. Legitimacy adds a necessary fourth dimension. A technically feasible facial-recognition service, for example, may still be unacceptable if it produces discriminatory surveillance or lacks meaningful consent.

Responsible innovation is therefore a process of anticipation, inclusion, reflexivity and responsiveness. Anticipation asks what may happen, including second-order effects. Inclusion brings affected parties into relevant decisions. Reflexivity examines the assumptions, values and power relations embedded in the innovation. Responsiveness means changing direction when evidence, stakeholder experience or new risks require it.

1.2 Stakeholders and impact distribution

A stakeholder is any person, group or institution that affects, or is affected by, an innovation. Stakeholders may include customers, workers, suppliers, investors, regulators, local residents, future generations, ecosystems and people who are not intended users. The last category is important: bystanders and excluded groups can experience significant effects without having purchasing power or formal representation.

Stakeholder analysis should examine at least four questions:

• What benefits and harms may each stakeholder experience?
• What resources, knowledge or rights does each stakeholder possess?
• Who bears the risks, and who captures the value?
• Which voices are absent from the current design process?

A simple power–interest matrix can help prioritise engagement, but it must not become an excuse to ignore low-power groups. A community may have low bargaining power but a strong moral claim because it bears pollution or displacement.

2. Sustainable Innovation and Life-Cycle Thinking

2.1 Sustainability beyond “green” products

Sustainability concerns the ability of present systems to meet needs without undermining the ecological and social conditions required by future generations. Sustainable innovation may involve a cleaner product, but it may also involve reduced consumption, longer product life, fairer access, improved public services, regenerative production or a different revenue model.

Three dimensions are often used as a starting point:

The dimensions are interconnected. A low-carbon product that depends on forced labour is not sustainable in a complete sense. Similarly, a socially valuable service that requires an economically impossible subsidy may not endure without institutional support.

2.2 Life-cycle thinking

Life-cycle thinking follows impacts and resource flows across stages rather than evaluating only the point of sale. A typical product system includes:

1. Raw-material extraction and processing.
2. Component manufacture and assembly.
3. Transport and distribution.
4. Use, maintenance and repair.
5. Reuse, remanufacture, recycling or disposal.

For services and digital ventures, the analysis also includes data centres, devices, energy use, staff work, procurement and the impacts of access or exclusion.

A simplified impact model is:

Here, I_total is the total estimated impact across life-cycle stages, and Iᵢ is the impact assigned to stage i. The summation is useful for organising an assessment, but it does not mean that all impacts can be reduced to one number. Carbon emissions, toxicity, labour exploitation and loss of cultural heritage may require different indicators and cannot automatically be traded away against one another.

In a formal life-cycle assessment (LCA), results are related to a functional unit, such as “one thousand hours of lighting” or “one meal delivered,” rather than merely one product. This prevents misleading comparisons. A durable lamp should be compared with the service provided by another lamp over the same period, not simply with one disposable unit.

A simplified carbon calculation is:

Aⱼ is the quantity of activity or material j (for example, kilowatt-hours or kilograms), and EFⱼ is its emission factor in kilograms of carbon-dioxide equivalent per unit. The units must be compatible. This estimate assumes that the selected emission factors are appropriate to the geography, technology and time period. It is an approximation, not a complete LCA; it may omit land use, water, toxicity and indirect rebound effects.

2.3 Rebound and burden shifting

An improvement in one stage can create a new problem elsewhere. A highly efficient appliance may lower the cost of use, encouraging more frequent use—a rebound effect. Replacing plastic with a heavier material may reduce visible plastic waste but increase transport emissions. Moving production to a supplier with lower unit costs may shift environmental or labour risks to a less regulated region.

Entrepreneurs should therefore test claims against the whole system:

• What does the innovation replace?
• What new resource demand does it create?
• What behaviour might it encourage?
• Which impacts move outside the firm’s boundary?
• What happens if the innovation scales tenfold or one hundredfold?

3. Circular Design and Circular Business Models

3.1 Linear and circular systems

The conventional linear model follows “take, make, use and dispose.” It depends on continuous extraction and often treats waste as an unavoidable output. Circular design seeks to keep products, components and materials in useful cycles while reducing virgin resource demand and preventing pollution at the design stage.

Circular strategies are not equally valuable. In general, retaining a product’s function through prevention, sharing, maintenance and reuse preserves more value than destroying it for material recovery. A practical hierarchy is:

1. Avoid unnecessary demand.
2. Reduce material and energy intensity.
3. Design for durability, repair and upgrade.
4. Enable sharing, resale and refurbishment.
5. Remanufacture components.
6. Recycle materials.
7. Recover energy or dispose only as a last resort.

The hierarchy should not be applied mechanically. Reuse may be unsafe for medical equipment, and recycling may be preferable when repair is technically impossible. The decision requires evidence about safety, quality, transport and actual user behaviour.

3.2 Circular design principles

Important design principles include:

• Modularity: components can be replaced or upgraded independently.
• Repairability: fasteners, diagnostics, manuals and spare parts support repair.
• Durability: materials and construction withstand expected use.
• Disassembly: products can be separated without excessive damage or hazardous processes.
• Material transparency: suppliers and material composition are documented.
• Safe material cycles: materials are non-toxic and suitable for future recovery.
• Product-service systems: customers purchase access or performance rather than ownership.

Circular business models include leasing, take-back schemes, repair subscriptions, peer-to-peer sharing, remanufacturing and “product as a service.” They change incentives: a manufacturer that retains ownership has a reason to design for long life and low maintenance, although it may also create data, lock-in or affordability concerns.

3.3 Measuring circular performance

There is no single universally sufficient circularity score. Possible indicators include product lifetime, repair success rate, proportion of recycled or responsibly sourced input, return rate, utilisation rate and share of revenue from repair or reuse. Each indicator requires a clear denominator and boundary.

For example, a return rate can be defined as:

N_returned is the number of products returned through the intended channel and N_sold is the number sold during the same cohort or period. The measure is meaningful only when the time window, product population and definition of “returned” are specified. A high return rate does not prove circularity if returned products are discarded.

4. Accessibility and Inclusive Design

4.1 Accessibility as a right and design requirement

Accessibility concerns whether people with disabilities can perceive, understand, navigate and use a product, service or environment. It includes physical, sensory, cognitive, communication and digital dimensions. Accessibility is not a niche feature: temporary injuries, ageing, language differences, low bandwidth and stressful conditions can affect almost anyone.

A product that requires a mouse excludes a keyboard-only user. A service that communicates only through dense text may exclude people with visual, cognitive or language-related barriers. Accessibility should be built into requirements, procurement, testing and maintenance rather than added after launch.

4.2 Inclusive design

Inclusive design is broader than disability access. It seeks to account for variation in age, gender, culture, race, income, language, geography, education, physical ability and technological access. It asks who is represented in research, who is missing from personas, and whose assumptions define “normal” use.

Inclusive design does not mean creating one average design for everyone. It often means providing flexibility and choice. Examples include adjustable interfaces, multiple communication channels, captions, plain language, offline alternatives, low-cost access and culturally appropriate service delivery.

The process should include:

1. Recruit diverse participants early, including people with lived experience.
2. Identify barriers in context rather than relying on demographic labels.
3. Co-design alternatives with affected users and community organisations.
4. Test with assistive technologies and realistic constraints.
5. Measure differential outcomes across groups.
6. Maintain accessibility after updates, procurement changes and scaling.

Participation must be ethical. Communities should not be asked to provide unpaid expertise indefinitely, disclose sensitive information unnecessarily or endorse a solution before risks are understood.

4.3 Universal design and reasonable adaptation

Universal design aims to make environments usable by the widest range of people without special adaptation. Yet universal design cannot remove every individual need. Personalisation, assistive technologies and reasonable accommodations remain essential. Inclusive innovation therefore combines common accessible foundations with support for particular circumstances.

5. Social Innovation and Impact-Oriented Entrepreneurship

Social innovation refers to new ideas, relationships, practices or institutional arrangements that address social needs more effectively, fairly or sustainably than existing alternatives. It may be led by a social enterprise, public body, nonprofit, cooperative, community or commercial firm.

Social innovation differs from charity in its focus on changing conditions, capabilities and systems rather than only relieving symptoms. It may involve affordable finance, community energy, cooperative ownership, inclusive employment, new models of care or locally governed digital services.

A social enterprise must manage a dual or multiple mission. Revenue is necessary for continuity, but financial performance can crowd out the social purpose. Governance mechanisms can help: mission locks, stakeholder boards, transparent impact reporting, fair pricing policies and reinvestment commitments.

A useful theory-of-change sequence is:

Inputs → Activities → Outputs → Outcomes → Longer-term impact

For example, trained staff and accessible software are inputs; delivering a service is an activity; the number of users served is an output; improved employment capability is an outcome; increased economic inclusion is a longer-term impact. The links are hypotheses, not proof. External factors may produce the observed outcome, and negative effects may occur alongside positive ones.

6. Ethical Trade-offs and Unintended Consequences

Ethical decision-making begins by identifying values in conflict. Common trade-offs include:

• affordability versus worker wages;
• privacy versus personalisation;
• speed to market versus safety testing;
• open access versus intellectual-property protection;
• convenience versus resource consumption;
• automation efficiency versus employment and human dignity;
• investor return versus long-term community benefit.

A defensible process does not pretend that every conflict has a technical solution. It makes assumptions explicit, identifies non-negotiable rights, compares alternatives and documents who decided.

Useful ethical lenses include:

• Consequentialism: Which option produces the best overall outcomes? Consider distribution, probability and severity, not only aggregate benefit.
• Rights and duties: Does the option respect consent, privacy, safety, equality and professional obligations?
• Justice: Are benefits, risks and decision-making power distributed fairly?
• Care ethics: Does the option recognise dependency, relationships and vulnerability?
• Virtue and character: Does the organisation act with honesty, courage, humility and practical wisdom?

A risk register can record hazard, affected stakeholders, likelihood, severity, controls, residual risk, owner and review date. Risk scoring is useful for prioritisation but must not convert serious rights violations into an acceptable average score.

7. ESG, Governance and Accountability

Environmental, social and governance (ESG) is a framework for organising information about how an organisation affects and is affected by environmental, social and governance conditions. Environmental issues include emissions, energy, water, materials and biodiversity. Social issues include labour, human rights, customers, communities, health and inclusion. Governance includes board accountability, ethics, anti-corruption, controls, transparency and stakeholder oversight.

ESG is not identical to sustainability. ESG reporting may improve visibility and investor decision-making, but a disclosure exercise can become superficial if it measures only what is easy to report. Organisations should connect indicators to strategy, decisions and incentives.

Examples of useful indicators include:

Avoid greenwashing, social-washing and impact-washing. Claims should be specific, evidence-based, comparable and proportionate. Independent assurance, grievance channels, whistleblower protection and public correction of errors strengthen accountability.

AI and data-intensive innovation require additional governance. Entrepreneurs should assess data provenance, consent, privacy, security, model performance across groups, explainability, human oversight and avenues for appeal. A model with high average accuracy may still impose unacceptable error rates on a minority group. Automated decisions should not eliminate meaningful human responsibility.

8. A Practical Framework for Responsible Innovation

The following eight-stage process can be integrated into design thinking:

1. Frame the system: Define the need, boundaries, functional unit and affected groups.
2. Investigate context: Conduct field research, accessibility audits, supply-chain inquiry and environmental screening.
3. Map stakeholders and value flows: Show who contributes, benefits, pays, bears risk and makes decisions.
4. Generate alternatives: Include circular, low-resource, accessible and community-governed options.
5. Screen risks and rights: Identify foreseeable harms, vulnerable groups, legal duties and unacceptable uses.
6. Prototype responsibly: Test not only desirability but safety, accessibility, repairability, privacy and real-world impacts.
7. Measure and learn: Use life-cycle indicators, distributional outcomes, user feedback and grievance data.
8. Govern and adapt: Assign accountability, publish material limitations, review outcomes and change or stop the innovation when evidence requires it.

A decision matrix can compare alternatives, but weighted scores should not hide moral priorities. The team should state weights, evidence quality and uncertainty. Deliberative workshops with affected stakeholders can complement quantitative analysis.

9. Worked Application: A Refillable Household-Cleaning Service

Consider an illustrative venture, LoopHome, proposing concentrated cleaning tablets delivered in reusable aluminium containers. Customers dissolve tablets in tap water and return containers through local collection points.

Background and problem

The existing market uses single-use plastic bottles, transport of diluted water and complex mixtures of materials. The proposed model aims to reduce packaging and transport while creating recurring revenue through subscriptions.

Analysis

A life-cycle review identifies potential benefits: less packaging, lower transport mass and repeated container use. It also identifies risks: customers may not return containers; reverse logistics may be energy-intensive; tablets may be inaccessible to people with limited hand strength or visual impairments; and subscription pricing may exclude low-income households.

Stakeholders include customers, cleaning workers, container manufacturers, delivery partners, retailers, local waste authorities, people with disabilities, children exposed to the product and communities near manufacturing sites.

The team defines a functional unit as “cleaning one standard household surface area to the specified performance level,” rather than comparing one tablet with one bottle. It estimates operational emissions using CO₂e = Σⱼ Aⱼ × EFⱼ, records assumptions and tests alternative return distances.

Approach and solution

LoopHome pilots three return options: collection points, postal return and retailer take-back. It introduces large-print and tactile labels, easy-open packaging, plain-language instructions, fragrance-free alternatives and a non-subscription purchase option. Containers use standardised components and are inspected before reuse. The company publishes return rates, damaged-container rates, accessibility findings and supplier standards.

It also discovers an unintended consequence: some customers dissolve tablets in unsuitable containers, creating dosing and safety concerns. The company revises instructions, provides a stable measuring cap and adds a child-safety warning. It does not claim that the model is impact-free; instead, it reports where evidence remains uncertain.

Outcome

The pilot should be judged by multiple outcomes: verified reduction in material use per functional unit, safe cleaning performance, actual container cycles, return participation, affordability, accessibility test results, worker conditions and customer retention. Subscription growth alone would be an inadequate success measure.

Learning points

The case demonstrates that circularity is a system property, not simply a material choice. Accessibility changes both product design and business model. A responsible venture treats data, complaints and failed assumptions as inputs to iteration. It also shows why an apparently sustainable innovation may create new risks that must be governed rather than concealed.

10. Challenges and Limitations

Responsible innovation faces practical constraints. Life-cycle data may be incomplete, supplier conditions may be opaque and social outcomes may be difficult to attribute. Small ventures may lack specialist expertise or bargaining power. Stakeholder participation takes time and can slow launch. Some users may prefer convenience over circular practices, while investors may prioritise rapid growth.

There are also conceptual limits. Sustainability indicators can encourage optimisation of what is measurable rather than what matters. Carbon reduction does not automatically establish justice. Inclusion can become tokenistic if affected people are consulted but cannot influence decisions. Circular business models can create surveillance through usage tracking or lock customers into proprietary systems.

These limitations do not justify inaction. They require transparency about uncertainty, precaution where potential harm is severe, staged experimentation, independent challenge and continuous improvement. Entrepreneurs should distinguish between “impact not measured,” “impact measured and low,” and “impact absent.”

11. Strategic and Employability Implications

Graduates who can integrate responsibility into innovation are valuable in start-ups, corporations, public agencies, consultancies, impact-investment organisations and civil-society ventures. Relevant capabilities include stakeholder interviewing, accessibility testing, supply-chain analysis, LCA interpretation, impact measurement, ethical reasoning, facilitation and sustainability reporting.

Strategically, responsible innovation can:

• reduce regulatory, reputational and operational risk;
• identify underserved customers and new partnerships;
• improve resource productivity and resilience;
• support employee attraction and retention;
• strengthen trust and customer loyalty;
• create differentiated business models;
• prepare the organisation for changing environmental and social expectations.

The strategic case must not replace the ethical case. A practice should not be defended only because it improves brand value. Responsible entrepreneurship recognises obligations to people and ecological systems even when the immediate financial return is uncertain.

Best-Practice Checklist

Before launch or major scale-up, an entrepreneurial team should be able to answer:

• Have we identified affected non-customers and future stakeholders?
• Have we examined the full life cycle and possible rebound effects?
• Is the solution accessible, tested with diverse users and maintained over time?
• Can products, materials or data be repaired, reused, transferred or deleted appropriately?
• Who bears the risks, and who captures the benefits?
• What rights or harms cannot be traded away through a weighted score?
• Are claims supported by transparent evidence and stated boundaries?
• Is there an accountable owner, grievance process and independent challenge?
• What evidence would cause us to redesign, pause or stop?

Chapter Summary

Responsible, sustainable and inclusive innovation expands entrepreneurial success beyond novelty and revenue. It requires attention to ecological limits, social justice, accessibility, stakeholder power and institutional accountability. Life-cycle thinking prevents narrow improvements from shifting burdens elsewhere, while circular design seeks to retain product and material value through prevention, durability, repair, reuse and recovery. Accessibility addresses barriers faced by people with disabilities, and inclusive design responds to human diversity more broadly through participation, flexibility and equitable outcomes. Social innovation changes practices or systems to meet social needs and often requires new governance and ownership arrangements.

Responsible innovation is supported by anticipation, inclusion, reflexivity and responsiveness. ESG can organise relevant environmental, social and governance information, but meaningful accountability requires credible boundaries, evidence, stakeholder oversight and action—not merely reporting. Entrepreneurs should combine qualitative ethical reasoning with appropriate quantitative indicators, test unintended consequences, disclose uncertainty and maintain the capacity to revise or stop an innovation. The central strategic lesson is that responsible design is not an obstacle to innovation; when practised seriously, it is a source of resilience, legitimacy and long-term value.

Key Terms

Responsible innovation: Innovation governed by anticipation, inclusion, reflexivity and responsiveness to societal consequences.

Sustainable innovation: Innovation that supports long-term environmental, social and economic wellbeing.

Circular design: Designing products and systems to prevent waste and retain material and functional value.

Life-cycle thinking: Evaluating impacts across extraction, production, distribution, use and end-of-life.

Life-cycle assessment: A structured method for quantifying environmental impacts associated with a defined product system and functional unit.

Functional unit: The quantified service or performance basis used for comparing life-cycle impacts.

Rebound effect: Increased consumption or use that partly offsets efficiency gains.

Accessibility: The extent to which people, including people with disabilities, can use a product, service or environment.

Inclusive design: Designing with and for diversity in ability, identity, resources, culture and context.

Universal design: Designing environments and products to be usable by the widest range of people without special adaptation.

Social innovation: New practices, relationships or arrangements that address social needs more effectively or fairly.

Stakeholder: A person, group or institution that affects or is affected by an innovation.

Theory of change: A reasoned account linking activities to outputs, outcomes and longer-term impact.

ESG: Environmental, social and governance factors used to assess organisational impacts, risks and accountability.

Greenwashing: Misleading presentation of environmental performance or benefits.

Materiality: The significance of an issue to decisions, impacts or stakeholders within a stated context.

Rebound effect: Demand growth caused by lower cost or greater efficiency that reduces expected benefits.

Circular business model: A model that maintains products, components or materials in productive use through strategies such as repair, leasing or remanufacturing.

Impact distribution: The pattern of who receives benefits and who bears costs or risks.

Review Questions

Short Answer Questions

1. What are the four tests of responsible innovation?
2. Why is a functional unit important in life-cycle assessment?
3. Distinguish accessibility from inclusive design.
4. State three principles of circular design.
5. What is the purpose of a theory of change?

Long Answer Questions

1. Explain how life-cycle thinking can reveal burden shifting and rebound effects.
2. Discuss the relationship between circular business models and product-service systems.
3. Compare consequentialist, rights-based and justice-based approaches to an innovation trade-off.
4. Explain why ESG reporting does not necessarily demonstrate responsible innovation.
5. Describe how an entrepreneur could integrate accessibility and inclusive design throughout the innovation process.

Analytical / Application Questions

1. A start-up proposes an AI recruitment tool that reduces hiring time but produces lower selection rates for applicants from one demographic group. Analyse the stakeholder impacts, ethical issues, governance controls and evidence required before deployment.
2. Design a circular business model for a commonly discarded product. Specify its life-cycle stages, stakeholders, revenue logic, accessibility provisions, risks and performance indicators.
3. A company claims that replacing plastic packaging with glass is automatically more sustainable. Evaluate the claim using functional units, life-cycle boundaries, transport, reuse assumptions and possible social impacts.

Multiple Choice Questions with Answers

Question 1

Which additional test extends the traditional desirability–feasibility–viability model for responsible innovation?

A. Legitimacy

B. Popularity

C. Automation

D. Aesthetic appeal

Correct Answer: A. Legitimacy

Question 2

Why is a functional unit used in life-cycle assessment?

A. To compare products based only on purchase price

B. To compare equivalent services or performance

C. To eliminate the need for emission factors

D. To measure employee satisfaction

Correct Answer: B. To compare equivalent services or performance

Question 3

Which strategy generally retains the highest level of product value?

A. Disposal

B. Energy recovery

C. Preventing unnecessary demand and extending product life

D. Downcycling all components immediately

Correct Answer: C. Preventing unnecessary demand and extending product life

Question 4

A rebound effect occurs when

A. a product is repaired successfully

B. efficiency gains encourage increased use or consumption

C. a stakeholder joins a design workshop

D. a product is made accessible

Correct Answer: B. efficiency gains encourage increased use or consumption

Question 5

Which statement best distinguishes accessibility from inclusive design?

A. Accessibility concerns usability barriers, while inclusive design addresses broader human diversity as well

B. Accessibility applies only to physical products, while inclusive design applies only to software

C. Accessibility is optional, while inclusive design is legally mandatory everywhere

D. They are unrelated concepts

Correct Answer: A. Accessibility concerns usability barriers, while inclusive design addresses broader human diversity as well

Question 6

In a theory of change, which sequence is correct?

A. Outcomes → inputs → activities → outputs

B. Inputs → activities → outputs → outcomes → impact

C. Impact → outputs → activities → inputs

D. Activities → impact → inputs → outcomes

Correct Answer: B. Inputs → activities → outputs → outcomes → impact

Question 7

Which practice most directly strengthens accountability for an AI innovation?

A. Removing all human oversight

B. Publishing only the average accuracy score

C. Providing monitoring, appeal routes and review of differential outcomes

D. Keeping data sources confidential from all stakeholders

Correct Answer: C. Providing monitoring, appeal routes and review of differential outcomes

Question 8

In the simplified equation CO₂e = Σⱼ Aⱼ × EFⱼ, what does EFⱼ represent?

A. The total number of products sold

B. The emission factor for activity or material j

C. The financial return on investment

D. The product’s functional unit

Correct Answer: B. The emission factor for activity or material j

Question 9

Which is an example of social innovation?

A. Changing a logo colour

B. Introducing a community-governed cooperative energy arrangement

C. Increasing packaging layers without changing access

D. Reducing a product’s warranty period

Correct Answer: B. Introducing a community-governed cooperative energy arrangement

Question 10

Why can a weighted risk score be insufficient for ethical decision-making?

A. It always produces a negative result

B. It may hide serious rights violations by averaging them with other factors

C. It cannot contain numerical values

D. It eliminates the need for stakeholder engagement

Correct Answer: B. It may hide serious rights violations by averaging them with other factors