Emerging Trends and Integrated Media Management Practice

Introduction and Context

Media management has moved beyond the administration of newspapers, broadcasters, film studios and advertising agencies. Contemporary media organisations operate within interconnected ecosystems involving streaming platforms, social networks, creators, data providers, cloud infrastructure, artificial intelligence, immersive interfaces and increasingly decentralised technologies. The manager’s task is therefore not simply to select a medium or control a production schedule. It is to design a sustainable system in which strategy, content, technology, finance, communication, analytics, governance and innovation reinforce one another.

The central challenge is integration. Immersive media may create richer experiences, but it also requires new production skills, hardware and safety controls. Artificial intelligence can improve efficiency, but it creates concerns about rights, bias, transparency and employment. Decentralised systems may redistribute ownership and value, but they introduce technical complexity, regulatory uncertainty and governance problems. Audience behaviour is also changing: people move between professional and user-generated content, expect personalisation, participate in communities and increasingly judge media brands by their social and ethical conduct.

This chapter develops a practical framework for managing these changes. It treats emerging technologies neither as automatic solutions nor as threats in themselves. Their value depends on whether they solve a clearly defined audience or organisational problem, whether the organisation can govern them responsibly, and whether the expected benefits justify the investment and risk.

Learning Objectives

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

1. Explain immersive media, spatial computing, decentralised media ecosystems and related technologies.
2. Assess changing audience behaviour and its implications for content, distribution and revenue.
3. Integrate strategic, financial, communicative, analytical and governance considerations in a media plan.
4. Evaluate emerging technologies using feasibility, value, risk and ethical criteria.
5. Construct a professional media management plan for an uncertain and rapidly changing environment.
6. Identify regulatory, privacy, intellectual-property and accountability issues associated with emerging media.

1. From Media Channels to Media Ecosystems

A channel is a route through which content reaches an audience. An ecosystem is a network of mutually dependent participants, technologies and rules. A contemporary media ecosystem may include creators, journalists, audiences, advertisers, platforms, telecommunications firms, app stores, payment providers, data brokers, regulators and civil-society organisations.

The ecosystem perspective changes managerial questions. Instead of asking, “Which platform should we use?”, a manager asks:

• What audience need are we addressing?
• Which combination of content, interface and community creates value?
• Who controls access, data, identity and revenue?
• Which partners and capabilities are essential?
• What risks are transferred to audiences, workers or society?

A useful value-chain distinction is between value creation, value delivery and value capture. Value creation includes reporting, storytelling, design and community participation. Value delivery includes distribution, search, recommendation and user experience. Value capture includes subscriptions, advertising, licensing, commerce, sponsorship, donations and data-enabled services. A technologically sophisticated product may create substantial value while capturing little of it if a platform controls discovery and takes most revenue.

Important terminology

Immersive media refers to media designed to create a strong sense of presence or participation, including virtual reality, augmented reality, mixed reality, 360-degree video and interactive spatial audio.

Spatial computing is an approach to computing in which digital information is anchored to, represented within or interacted with through physical space. It can involve head-mounted displays, sensors, cameras, hand tracking, spatial mapping and three-dimensional interfaces.

Extended reality (XR) is an umbrella term covering virtual reality (VR), augmented reality (AR) and mixed reality (MR).

Virtual reality places the user in a digitally generated environment, generally through a head-mounted display.

Augmented reality overlays digital information on the user’s view of the physical world.

Mixed reality allows physical and digital objects to coexist and interact in a spatial environment.

Decentralised media distributes control, storage, identity, transactions or governance across a network rather than concentrating them in one central intermediary.

Interoperability is the ability of systems, services or identities to exchange information and work together.

Platform governance consists of the rules, procedures, technical systems and enforcement mechanisms through which a platform manages participation and content.

Synthetic media is media generated or substantially altered by artificial intelligence, including synthetic audio, images, video and text.

2. Immersive Media and Spatial Computing

Immersive media changes the relationship between audience and content. Traditional video generally presents a framed sequence controlled by the producer. An immersive experience may give users a viewpoint, a navigable environment, an interactive object or a social space. The audience is not necessarily passive; it may choose where to look, what to inspect and how to respond.

Forms and managerial uses

Immersive storytelling requires a different grammar from conventional editing. A linear video directs attention through framing, cuts and sound design. An immersive experience must guide attention without eliminating agency. Lighting, movement, sound cues, environmental contrast, optional prompts and spatial sequencing become important. Managers must therefore include interaction design and user testing in the production process rather than treating them as late technical additions.

A practical decision rule is to use immersion when spatial understanding, emotional presence or active participation is central to the communication objective. A conventional video may be superior when the message depends on precise timing, broad accessibility, rapid production or low-bandwidth distribution. Immersion is not automatically more engaging; unnecessary novelty can increase cognitive load and reduce comprehension.

Spatial production workflow

An effective workflow normally includes:

1. Purpose definition: specify the audience problem and the desired behaviour or understanding.
2. Experience mapping: identify what the user sees, hears and does at each stage.
3. Technical prototyping: test tracking, sound, interaction, accessibility and device performance.
4. Pilot testing: observe users and record confusion, discomfort, abandonment and learning outcomes.
5. Production and quality assurance: verify content, performance, safety and compatibility.
6. Distribution planning: determine whether the experience is delivered through an app, browser, headset, mobile device or physical installation.
7. Measurement and iteration: compare outcomes with the original objective and improve the experience.

The organisation should budget not only for production but also for maintenance. Operating-system changes, device updates, security patches, content moderation and accessibility requirements can create continuing costs.

3. Decentralised Media Ecosystems

Decentralisation is often discussed as if it means the disappearance of intermediaries. In practice, most decentralised systems still contain service providers, developers, moderators, exchanges, wallet operators or infrastructure companies. The relevant question is not whether an intermediary exists, but where control and accountability are located.

Potential components include distributed ledgers, peer-to-peer distribution, decentralised identity, token-based transactions, community governance and interoperable social protocols. These components can support provenance records, creator payments, community membership and portable identity. They can also create speculative markets, irreversible mistakes, fraud, energy concerns, privacy problems and difficult legal questions.

A media manager should distinguish three claims:

• Technical decentralisation: data or computation is distributed across multiple nodes.
• Economic decentralisation: value and revenue are distributed among more participants.
• Governance decentralisation: decisions are made by a community or network rather than one organisation.

These forms do not necessarily occur together. A service may use a distributed ledger while remaining economically controlled by a single company. Conversely, a cooperative may distribute economic governance without using blockchain technology.

Managerial applications

Decentralised tools may be useful for:

• recording rights and licensing events;
• providing verifiable provenance for digital assets;
• enabling creator-to-audience payments;
• supporting portable memberships or identities;
• coordinating community ownership;
• reducing dependence on a single platform;
• preserving archives through distributed storage.

However, a ledger entry does not prove that the original information was true. It can establish that a record existed or was not altered after entry, but it cannot by itself verify authorship, consent or factual accuracy. Managers must therefore combine technical records with contractual, editorial and audit processes.

4. Artificial Intelligence, Automation and Synthetic Media

AI is increasingly embedded in recommendation, transcription, translation, moderation, audience analysis, advertising optimisation, editing and generative content. Its managerial value lies in augmenting human capability, not in removing responsibility.

A responsible AI workflow defines the task, identifies permitted data, tests performance, reviews outputs and assigns accountability. Human review is especially important when outputs affect reputation, employment, political communication, public safety or vulnerable audiences.

Key risks include:

• Bias: systems may reproduce unequal patterns in training data or design.
• Opacity: users may not understand why a recommendation or decision occurred.
• Hallucination: generative systems may produce plausible but false claims.
• Privacy exposure: personal data may be collected, inferred or reused without valid authority.
• Copyright conflict: training data and generated outputs may raise ownership and licensing questions.
• Labour displacement: automation may weaken employment, craft knowledge and bargaining power.
• Manipulation: synthetic audio or video may impersonate individuals or distort public debate.

A media organisation should maintain an AI register describing each system’s purpose, supplier, data sources, risk level, human owner, testing method and review date. Synthetic or substantially altered content should be labelled when disclosure is relevant to audience understanding. Editorial standards should prohibit fabricated evidence and require correction procedures.

5. Changing Audience Behaviour

Audience behaviour is increasingly fragmented, participatory and data-mediated. Individuals may discover a story through a recommendation feed, discuss it in a group chat, watch a creator’s response, verify it through another source and pay through a subscription or microtransaction. The distinction between producer and audience is less stable, although professional responsibility remains essential.

Important behavioural shifts include:

1. From scheduled consumption to on-demand access: audiences expect content across time zones and devices.
2. From mass exposure to personalised discovery: recommendation systems influence visibility.
3. From ownership to access: streaming and cloud services often replace permanent possession.
4. From individual consumption to networked participation: comments, remixing, live chat and fan communities add value.
5. From single-screen use to multi-device behaviour: mobile, television, wearable and spatial interfaces interact.
6. From attention scarcity to trust scarcity: audiences may encounter abundant content but struggle to identify credible sources.
7. From anonymous reach to identity-based membership: communities, subscriptions and authenticated experiences become more important.

Managers should avoid treating “the audience” as a single market. Segmentation may consider needs, behaviours, accessibility requirements, willingness to pay, trust relationships and privacy expectations. Behavioural data should not be confused with audience understanding. A click can indicate curiosity, accidental exposure or disagreement; it does not automatically indicate satisfaction or learning.

6. Regulation, Ethics and Governance

Emerging media intensifies the relationship between innovation and regulation. Relevant areas commonly include data protection, consumer protection, intellectual property, competition, advertising standards, accessibility, labour law, child safety, election communication, platform accountability and sector-specific broadcasting rules. The exact legal obligations vary by jurisdiction, so managers must obtain current legal advice rather than rely on general summaries.

A governance framework should answer five questions:

1. Who is responsible? Assign named owners for editorial, technical, data, safety and compliance decisions.
2. What is permitted? Establish policies for data use, AI, sponsorship, moderation, rights and disclosure.
3. How is risk assessed? Evaluate likelihood, impact, affected groups and mitigation measures before launch.
4. How can people challenge decisions? Provide complaints, correction, appeal and redress mechanisms.
5. How is performance audited? Record decisions, test systems and review outcomes periodically.

Privacy and data governance

Data minimisation means collecting only data that is necessary for a defined purpose. Purpose limitation requires that data not be repurposed incompatibly without an appropriate legal and ethical basis. Managers should consider consent quality, retention periods, access controls, vendor contracts, cross-border transfers and deletion procedures. Spatial devices create particularly sensitive data, including movement patterns, gaze, voice, biometric signals and room layouts.

Accessibility and inclusion

Immersive products can exclude users with visual, auditory, motor, cognitive or financial barriers. Good practice includes captions, transcripts, audio description, adjustable controls, seated modes, alternative interfaces, clear motion warnings and non-immersive equivalents where feasible. Inclusion should be designed at the beginning rather than added after launch.

Content governance

Moderation systems should combine clear rules, trained human reviewers, escalation procedures and transparent explanations. Automated moderation can support scale but may misunderstand satire, dialect, context or reclaimed language. Governance must also address creator safety, harassment, misinformation and coordinated manipulation.

7. The Integrated Media Management Framework

An integrated plan connects six managerial domains:

1. Strategy: mission, target audiences, positioning and competitive advantage.
2. Content and communication: message, format, editorial standards, brand voice and engagement design.
3. Technology and operations: platforms, workflows, interoperability, security and production capability.
4. Finance: investment, operating costs, revenue, cash flow and scenario planning.
5. Analytics: objectives, indicators, experiments, interpretation and learning.
6. Governance and innovation: rights, ethics, regulation, risk, experimentation and organisational learning.

These domains should be evaluated together. A strategic opportunity is weak if the organisation cannot produce it reliably. A technically excellent product is unsustainable if unit economics are negative. A profitable service is unacceptable if it systematically violates privacy or excludes users.

Strategic and financial evaluation

A basic project budget separates fixed and variable costs. Fixed costs do not change directly with the number of units in the relevant range, while variable costs change with users, transactions or outputs. A simple contribution calculation is:

If a service has fixed costs of £120,000, average revenue per paying user of £18 and variable cost per user of £6, its break-even number of users is:

This calculation assumes constant prices and variable costs, all users are comparable, and fixed costs remain fixed over the relevant range. It excludes tax, financing costs, churn timing and capacity constraints; therefore it is a planning approximation, not a forecast.

For projects with cash flows at different times, net present value can support investment decisions:

Here, C₀ is the initial investment, C_t is net cash flow in period t, r is the discount rate per period, and n is the number of periods. The calculation assumes cash flows and the discount rate are estimated consistently and that the decision-maker can compare projects on a common risk basis. A positive NPV indicates value creation relative to the selected discount rate, but it does not resolve ethical, strategic or regulatory questions.

Analytics and measurement

A useful measurement system connects an objective to an indicator and a decision. For example:

A conversion rate can be expressed as:

The numerator and denominator must be defined consistently. If 800 of 20,000 eligible visitors subscribe, the rate is 4%. The metric is meaningful only if exposure is measured without double-counting and the desired action is clearly specified.

Managers should use a balanced dashboard rather than optimise one metric. Excessive focus on watch time can reward sensationalism; excessive focus on clicks can encourage misleading headlines. Measures should include quality, trust, inclusion, financial performance, employee wellbeing and compliance.

8. Innovation Portfolio and Decision-Making Under Uncertainty

Emerging-media investment should be managed as a portfolio. A practical portfolio may contain:

• Core improvements: low-risk changes to existing products;
• Adjacent innovations: new formats or audiences using existing capabilities;
• Transformational experiments: uncertain initiatives that may create new business models.

Each proposal should be assessed against audience value, strategic fit, technical feasibility, financial potential, ethical acceptability, regulatory exposure and organisational readiness. A stage-gate process can release limited resources at first and require evidence before scaling:

1. problem validation;
2. concept and risk review;
3. prototype;
4. controlled pilot;
5. evaluation against pre-set criteria;
6. scale, redesign or termination.

This approach reduces sunk-cost bias and protects the organisation from adopting technologies merely because they are fashionable. Failure in a controlled experiment can be productive if the learning is documented and shared.

Illustrative Case: Horizon Public Media Lab

Background

Horizon Public Media is a fictional regional organisation producing local news, cultural programmes and educational content. Its younger audiences increasingly discover information through short-form video and social platforms, while its traditional broadcast audience is ageing. Horizon has access to a small innovation fund and proposes an immersive local-history project using AR, mobile video and community participation.

Problem

The initial proposal focuses on purchasing headsets and building a visually impressive application. It does not identify a measurable public-service outcome, a maintenance budget or a plan for users without compatible devices. It also proposes collecting location data continuously, creating privacy risks.

Analysis

The management team reframes the project around the objective: improve young residents’ understanding of local migration history and encourage respectful intergenerational dialogue. Audience research identifies three groups: mobile-first students, older residents with archival knowledge and schools seeking curriculum resources. The team concludes that a headset-only product would exclude too many users. A mobile AR experience, short documentary series and classroom web version are selected instead.

Risks include inaccurate historical claims, unauthorised use of family photographs, location tracking, harassment in public comments and high content-maintenance costs. The team establishes an editorial review panel, obtains permissions, minimises location collection, provides an offline alternative and creates a moderation policy.

Approach and solution

The project uses a six-month pilot in two neighbourhoods. Local residents contribute oral histories, but all submissions are checked for consent and factual context. AR markers reveal archival images at selected locations; the same stories appear in accessible video and text formats. A school dashboard reports aggregate participation without exposing individual student identities.

The financial plan separates development, rights clearance, community facilitation, hosting, moderation and evaluation. The project proceeds only if the pilot demonstrates learning value, acceptable cost per participant, low complaint levels and evidence of sustained use. The organisation does not assume that high engagement alone proves public value.

Outcome

The fictional pilot produces strong school participation and increases visits to the organisation’s local-history collection. However, some users experience difficulty with older phones, and several archival images require additional permissions. Rather than scale immediately, Horizon improves compression, expands non-AR access, revises its rights workflow and repeats testing with accessibility groups.

Learning points

The case demonstrates that successful innovation begins with a communication and public-value problem, not a device purchase. It also shows that audience inclusion, rights management, privacy, finance and evaluation must be designed simultaneously. The best outcome may be a portfolio of connected formats rather than one technologically spectacular product.

9. Professional Media Management Plan

A professional plan should be concise enough to guide action and detailed enough to support accountability. The following structure is suitable for an advanced diploma project or organisational proposal:

1. Situation analysis: audience research, market conditions, competitors, partners, capabilities and regulatory context.
2. Strategic intent: mission, objectives, positioning and public or commercial value proposition.
3. Audience and stakeholder map: segments, needs, access barriers, influence and communication preferences.
4. Content and experience design: formats, editorial proposition, participation model, accessibility and brand standards.
5. Technology architecture: platforms, data flows, interoperability, cybersecurity, suppliers and fallback arrangements.
6. Operating model: roles, skills, workflow, commissioning, quality assurance, moderation and maintenance.
7. Financial model: capital costs, operating costs, revenue assumptions, scenarios, break-even analysis and funding requirements.
8. Marketing and communication: launch, partnerships, community engagement, crisis communication and internal communication.
9. Measurement framework: objectives, indicators, data sources, reporting frequency and decision thresholds.
10. Governance and risk: rights, privacy, safety, AI policy, accessibility, legal review, complaints and incident response.
11. Innovation roadmap: experiments, milestones, stage gates, learning objectives and scale criteria.
12. Review process: scheduled evaluation and mechanisms for changing the plan when evidence or regulation changes.

The plan should include assumptions explicitly. For example, a forecast may assume a particular conversion rate, advertising yield, retention rate or cloud cost. Scenario analysis can then show how results change under optimistic, expected and adverse conditions. Precision should not be confused with certainty.

Challenges and Limitations

Emerging media management faces several structural limitations. Technology access is unequal, and innovation can widen social divisions. Platform dependence may reduce bargaining power and make audiences difficult to reach independently. Measurement systems can privilege what is easy to count rather than what is socially valuable. Personalisation can narrow exposure and reinforce existing preferences. Decentralised systems may distribute technical control without distributing meaningful power. AI may increase productivity while weakening professional judgement if organisations remove human expertise too aggressively.

There are also environmental costs. Data centres, devices, network traffic and hardware replacement consume energy and materials. Responsible planning should consider device longevity, efficient formats, repairability, carbon reporting and whether an immersive feature provides enough value to justify its resource use.

Finally, regulation often develops more slowly than technology. Organisations must therefore act beyond minimum legal compliance by applying principles of fairness, transparency, safety, accountability and proportionality. Ethical governance is not a substitute for legal advice, but legal compliance alone is not a complete management philosophy.

Best-Practice Principles

• Start with audience and public or commercial value, not technological novelty.
• Treat data, rights and accessibility as design requirements.
• Maintain human accountability for consequential editorial and automated decisions.
• Test prototypes with diverse users before committing to scale.
• Use balanced metrics that include quality, trust, inclusion and financial sustainability.
• Separate experimentation from production-critical systems.
• Document assumptions, decisions, incidents and lessons learned.
• Design alternatives for users with limited devices, bandwidth or ability.
• Build exit strategies so the organisation is not trapped by one vendor or platform.
• Review strategy continuously because audience behaviour, technology and regulation change together.

Chapter Summary

Emerging media management requires an ecosystem perspective. Immersive media and spatial computing can deepen presence and participation, but their value depends on purpose, usability, accessibility and sustainable operations. Decentralised systems may improve provenance, portability and community participation, yet technical distribution does not automatically produce economic or governance fairness. AI can support production, discovery and analysis, but synthetic media, bias, privacy, copyright and accountability require strong human oversight.

Audience behaviour is increasingly on-demand, personalised, participatory, multi-device and trust-sensitive. Managers must therefore connect content design with community, data governance and platform strategy. An integrated media plan combines strategy, communication, technology, finance, analytics, governance and innovation. Break-even and NPV calculations can inform investment, but they must be interpreted alongside ethical, legal and public-value considerations. The most reliable approach is staged experimentation: define the problem, prototype, test with diverse users, measure balanced outcomes, govern risks and scale only when evidence supports the decision.

Key Terms

Immersive media: Media that creates a strong sense of presence, participation or environmental involvement.

Spatial computing: Computing that represents and responds to digital information in physical space.

Extended reality: The collective category covering virtual, augmented and mixed reality.

Virtual reality: A digitally generated environment that surrounds or immerses the user.

Augmented reality: Digital content layered onto a view of the physical world.

Mixed reality: An environment in which physical and digital elements coexist and interact.

Decentralised media: Media systems in which control, storage, identity or governance is distributed across a network.

Interoperability: The capacity of different systems or services to exchange information and operate together.

Synthetic media: Content generated or substantially altered by artificial intelligence.

Platform governance: Rules, procedures and technical mechanisms regulating participation on a platform.

Value creation: Activities that produce benefits for audiences, creators, communities or partners.

Value capture: The process through which an organisation converts created value into revenue or other organisational benefit.

Data minimisation: Collecting and retaining only data necessary for a defined purpose.

Accessibility: Designing media so that people with different abilities and access conditions can use it.

Conversion rate: The percentage of eligible exposures that produce a specified desired action.

Break-even point: The level of activity at which revenue equals relevant total costs.

Net present value: The present value of future cash flows less the initial investment.

Stage-gate innovation: A process that requires evidence-based review before an experiment receives further resources.

Review Questions

Short Answer Questions

1. Distinguish immersive media from conventional linear media.
2. What is the difference between technical, economic and governance decentralisation?
3. Identify three risks associated with synthetic media.
4. Why should audience engagement metrics be interpreted cautiously?
5. State two purposes of a media governance framework.

Long Answer Questions

1. Explain how spatial computing may alter media production, distribution and audience experience.
2. Discuss the relationship between platform dependence, value capture and media sustainability.
3. Evaluate the opportunities and limitations of decentralised media ecosystems.
4. Describe how an integrated media management plan connects strategy, finance, analytics and governance.
5. Discuss why accessibility and privacy should be treated as design requirements rather than post-launch additions.

Analytical / Application Questions

1. A proposed AR news service requires substantial location and gaze data. Develop a governance and privacy approach that preserves useful functionality while reducing unnecessary data collection.
2. A media start-up has fixed costs of £90,000, average revenue per user of £25 and variable cost per user of £10. Calculate its break-even number of users and state the assumptions behind your calculation.
3. Design a stage-gated pilot for an AI-generated local-history service. Specify the audience problem, success indicators, human review controls, financial decision criteria and conditions under which the project would be stopped.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes an ecosystem from a media channel?

A. An ecosystem is only a physical distribution route

B. An ecosystem includes interdependent participants, technologies and rules

C. An ecosystem excludes audiences from value creation

D. An ecosystem is limited to one content format

Correct Answer: B. An ecosystem includes interdependent participants, technologies and rules

Question 2

Which technology overlays digital information onto the user’s view of the physical world?

A. Virtual reality

B. Augmented reality

C. Linear television

D. Distributed storage

Correct Answer: B. Augmented reality

Question 3

A ledger record can establish that information was entered and not altered later, but it cannot by itself establish what?

A. The existence of a timestamp

B. The number of network nodes

C. The truth or authorship of the original information

D. The format of a digital file

Correct Answer: C. The truth or authorship of the original information

Question 4

Which is an example of economic decentralisation?

A. Distributing revenue among creators and participants

B. Using one central server for all data

C. Restricting decisions to one executive

D. Removing all contractual relationships

Correct Answer: A. Distributing revenue among creators and participants

Question 5

What is a central risk of generative AI in editorial media?

A. It always produces physically large files

B. It cannot process any language

C. It may generate plausible but false claims

D. It eliminates the need for governance

Correct Answer: C. It may generate plausible but false claims

Question 6

Which practice best reflects data minimisation?

A. Collecting all available user data indefinitely

B. Collecting only data necessary for a defined purpose

C. Selling data before defining its purpose

D. Using sensitive data without access controls

Correct Answer: B. Collecting only data necessary for a defined purpose

Question 7

A project has fixed costs of £120,000, revenue per user of £18 and variable cost per user of £6. What is the approximate break-even number of users?

A. 5,000

B. 8,000

C. 10,000

D. 12,000

Correct Answer: C. 10,000

Question 8

Which metric is most directly designed to measure the proportion of eligible exposures producing a desired action?

A. Conversion rate

B. Downtime

C. Carbon intensity

D. Editorial diversity

Correct Answer: A. Conversion rate

Question 9

What is the main purpose of a stage-gate innovation process?

A. To guarantee that every experiment becomes a full product

B. To release resources progressively based on evidence

C. To avoid testing products with users

D. To replace governance with marketing activity

Correct Answer: B. To release resources progressively based on evidence

Question 10

Why is a balanced media dashboard preferable to optimising watch time alone?

A. Watch time is never measurable

B. Balanced measures include quality, trust, inclusion and sustainability

C. Financial performance is unrelated to audience behaviour

D. Balanced dashboards eliminate all uncertainty

Correct Answer: B. Balanced measures include quality, trust, inclusion and sustainability