E-Commerce & Digital Entrepreneurship

Chapter 14
Law, Ethics, Governance and Responsible Commerce

Bachelors Program in Entrepreneurship
E-Commerce & Digital Entrepreneurship   •   Bachelor

Law, Ethics, Governance and Responsible Commerce

Introduction

Digital entrepreneurship creates value through data, software, platforms, networks, automated decisions and electronic transactions. These same features create legal and ethical responsibilities that do not arise, or do not arise in the same form, in conventional commerce. An online venture may sell to customers in several countries, process personal data through cloud services, rely on third-party platforms, use artificial intelligence to recommend products, and employ contractors across different legal systems. Its founders therefore need more than a creative idea and a functioning website: they need a system for lawful, fair, transparent and accountable commerce.

Law establishes enforceable rules. Ethics concerns what ought to be done, including conduct that may be legal but unfair or harmful. Governance provides the structures, processes and controls through which decisions are made, monitored and corrected. Responsible commerce integrates all three. It asks not only, “Can the business do this?” but also, “Should it do this, who may be affected, and how can the business demonstrate accountability?”

This chapter introduces the principal legal, ethical and governance issues facing digital entrepreneurs. Because laws differ by jurisdiction and change frequently, the discussion is conceptual and comparative rather than legal advice. Entrepreneurs must obtain current, jurisdiction-specific advice before launching or scaling a venture.

Learning Objectives

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

  1. Explain how consumer protection, contract, taxation and intellectual-property rules apply to e-commerce.
  2. Distinguish privacy, data protection and cybersecurity responsibilities.
  3. Analyse platform rules, cross-border compliance and the allocation of responsibility among digital actors.
  4. Evaluate algorithmic bias, dark patterns, inclusion and sustainability as responsible-commerce issues.
  5. Design a proportionate governance and accountability framework for a digital venture.
  6. Apply these ideas to a practical e-commerce case.

1. The Compliance Environment of Digital Entrepreneurship

A digital business usually operates within several overlapping relationships:

  • the relationship between the business and consumers;
  • the relationship between the business and suppliers, workers and contractors;
  • the relationship between the business and platforms, payment providers and cloud services;
  • the relationship between the business and governments or regulators; and
  • the relationship between the business and communities affected by its operations.

Compliance is therefore not a single document or annual exercise. It is a continuous operating capability. A useful approach is to map the venture’s activities across the following questions:

QuestionTypical issue
What is being sold?Product safety, licences, claims and consumer rights
Who is being served?Age, location, vulnerability and accessibility
How is the transaction formed?Electronic contracts, consent and records
What data is collected?Purpose, legal basis, security and retention
Which intermediaries are used?Platform rules, payment duties and outsourcing
Where do activities occur?Tax, jurisdiction, customs and cross-border rules
How are decisions automated?Bias, explainability, review and accountability
What impacts are created?Labour, environment, inclusion and community effects

A compliance register should identify each obligation, the responsible person, evidence of compliance, review frequency and escalation route. This transforms legal knowledge into an operational system.

2. Consumer Protection and Fair Digital Markets

Consumer protection law generally seeks to correct information asymmetry and unequal bargaining power. Online consumers cannot physically inspect products, may not understand complex terms, and can be influenced by interface design, reviews and personalised recommendations. Common legal requirements include truthful advertising, accurate pricing, disclosure of material terms, product safety, fair cancellation or refund processes, and protection against misleading or aggressive practices.

2.1 Transparency and truthful claims

A business should be able to substantiate claims such as “carbon neutral,” “clinically proven,” “best-selling,” “secure,” or “free.” The qualification, evidence and time period behind a claim matter. A headline statement can mislead even when a qualification appears elsewhere in small text. Entrepreneurs should maintain a claims file containing evidence, approval records and the date on which claims were reviewed.

Prices should disclose unavoidable charges at the relevant point of decision. Drip pricing—revealing mandatory fees only at checkout—can undermine informed choice and may violate consumer law. Reviews should reflect genuine customer experience. Incentivised reviews, fabricated testimonials and undisclosed endorsements damage both trust and legal compliance.

2.2 Dark patterns

Dark patterns are interface designs that steer, pressure or deceive users into choices they might not otherwise make. Examples include:

  • preselected add-ons;
  • confusingly labelled consent buttons;
  • making subscription enrolment easy but cancellation difficult;
  • countdown timers that reset repeatedly;
  • hiding material terms behind ambiguous links; and
  • repeated prompts designed to wear down refusal.

The ethical issue is not simply whether a user technically clicked “accept.” Meaningful choice requires understandable information, reasonable alternatives and freedom from manipulation. A responsible design review asks whether the same interface would be acceptable if shown to a regulator, journalist or vulnerable customer.

2.3 Vulnerable consumers and accessibility

Children, older people, persons with disabilities, financially distressed consumers and users with limited digital literacy may face heightened risk. Accessibility should be treated as a design and governance responsibility, not as a late-stage technical adjustment. Clear language, keyboard navigation, adequate contrast, captions, screen-reader compatibility and accessible customer support broaden participation and often improve usability for everyone.

3. Electronic Contracts and Digital Transactions

A contract generally requires identifiable parties, an offer or sufficiently clear invitation, acceptance, consideration where applicable, legal capacity, lawful purpose and intention to create legal relations. The precise requirements vary by legal system. In e-commerce, the contract may be formed through a sequence of webpages, app screens, electronic messages and payment events.

The distinction between an advertisement, an invitation to treat and an offer can matter. Product listings are often invitations for customers to submit orders, while the seller accepts by confirmation or dispatch. The venture’s terms should clearly state when the contract is formed, how errors can be corrected, what happens if stock is unavailable, and which law and dispute process apply, subject to mandatory consumer protections.

Electronic records should be accessible, reproducible and protected against unauthorised alteration. Clickwrap agreements, in which users actively indicate acceptance, generally provide stronger evidence than passive browsewrap notices. Consent and contract acceptance should not be bundled unnecessarily with unrelated marketing permissions. Terms should be readable, proportionate and available before purchase.

Contract risk also exists in relationships with suppliers, developers, influencers and platforms. Important provisions commonly address intellectual property ownership, confidentiality, service levels, security, data processing, indemnities, termination, audit rights, business continuity and dispute resolution. A founder should not assume that a software contractor owns or transfers all relevant rights without an explicit written agreement.

4. Taxation, Payments and Financial Records

Digital business models complicate taxation because value may be created in one country, sold to customers in another and processed through infrastructure in a third. Relevant issues may include income or corporate taxation, value-added or sales taxes, digital-service taxes, customs duties, withholding taxes, payroll obligations and marketplace reporting rules. Tax treatment depends on the venture’s legal form, revenue model, customer location, permanent establishment, products and local thresholds.

The tax principle of substance over labels is important. Calling a worker an “independent contractor,” or describing a payment as a “platform fee,” does not necessarily determine its legal treatment. Entrepreneurs should maintain reliable records of invoices, transaction dates, customer locations, tax collected, refunds, fees, foreign exchange and remittances.

A basic transaction reconciliation can be expressed as:

Net remittance = Gross customer receipts − refunds − platform fees − payment fees − taxes withheld

Here, all terms must refer to the same accounting period and currency, or foreign-currency items must first be converted under a consistent documented policy. This is an accounting reconciliation, not a universal tax formula. Taxable income and tax liability require the rules of the relevant jurisdiction and may include deductions, exemptions and timing adjustments.

Payment compliance includes secure handling of payment information, authentication, fraud monitoring, chargeback management and clear communication about recurring billing. Using a regulated payment processor reduces some technical burden but does not eliminate the merchant’s responsibility to understand settlement, refund and dispute procedures.

5. Intellectual Property in Digital Ventures

Intellectual property (IP) allows creators and businesses to control or commercialise intangible assets. The principal categories relevant to e-commerce are:

IP categoryTypical digital-business assetMain protection or control
CopyrightCode, photographs, videos, text and designRights arise under applicable law; licences and assignments are essential
TrademarkName, logo, slogan and distinctive brandingRegistration and consistent brand use
PatentQualifying technical inventionApplication before public disclosure in many systems
Trade secretSource code, pricing logic and confidential methodsSecrecy controls and contractual obligations
Design rightsProduct appearance or interface elementsRegistration or automatic protection depending on law
Database rightsStructured collections of informationCopyright, sui generis or contractual protection depending on jurisdiction

Ownership should be traced through the venture’s employees, founders, contractors, open-source components, stock-media licences and customer contributions. Open-source software is not “free of obligations.” Licences may require attribution, disclosure of modified source code, preservation of notices or restrictions on redistribution. A software bill of materials and licence review process can reduce risk.

Brand protection requires more than registering a domain name. Entrepreneurs should search for conflicting marks, register strategically, monitor misuse and avoid implying affiliation with another business. Copyright notices do not create ownership where rights were never acquired. A content policy should specify permissions for user-generated content, takedown procedures and responses to infringement claims.

6. Privacy, Data Protection and Cybersecurity

Privacy concerns people’s ability to control information about themselves; data protection regulates how organisations collect, use, share, retain and secure personal data. Personal data may include names, contact details, identifiers, location, browsing records, purchase history, inferred preferences and device information. Sensitive categories often receive additional protection.

A responsible data programme begins with a data inventory:

  1. What data is collected?
  2. From whom and by what method?
  3. For which specific purposes?
  4. On what legal basis or authority?
  5. With whom is it shared?
  6. How long is it retained?
  7. How is it secured and deleted?
  8. How can individuals exercise their rights?

Common principles include lawfulness, fairness, transparency, purpose limitation, data minimisation, accuracy, storage limitation, integrity, confidentiality and accountability. The exact rights and legal bases differ across regimes. Depending on the jurisdiction, individuals may have rights of access, correction, deletion, portability, objection, restriction or review of automated decisions.

Privacy notices should explain material practices in clear language. Consent should be specific, informed, freely given and withdrawable where consent is the applicable basis. A business should not collect excessive data merely because storage is inexpensive. Retention schedules should connect each category of data to a business or legal purpose.

Security is a risk-management obligation rather than a promise of perfect protection. Controls may include multi-factor authentication, least-privilege access, encryption, secure development, patching, backups, logging, vendor assessment, staff training and incident-response exercises. A breach plan should identify decision-makers, technical containment steps, evidence preservation, customer communication and regulatory notification duties. “We use a third-party cloud provider” does not transfer all accountability to that provider.

7. Platform Rules and Intermediary Governance

Marketplaces, app stores, social networks, advertising systems and payment platforms act as private regulators. Their terms may govern ranking, seller verification, prohibited products, account suspension, content moderation, advertising, data access and dispute resolution. A venture can be legally compliant under public law and still lose access to a platform for violating contractual rules.

Platform dependence creates concentration risk. Entrepreneurs should identify critical platforms, review their policies regularly, maintain records of compliance, avoid unjustified dependence on one channel and preserve an independent customer relationship where lawful. They should understand whether the platform is acting as agent, marketplace operator, payment intermediary, data processor or another legally recognised role.

Platform governance should include notice of enforcement actions, an internal appeal route, evidence preservation and a plan for business continuity. Fairness is particularly important where ranking or suspension decisions are automated. Sellers need understandable reasons and a meaningful opportunity to correct errors, while platforms need controls against fraud and harmful content.

8. Cross-Border Compliance

Cross-border commerce raises questions of jurisdiction, applicable law, consumer rights, tax, customs, product standards, export controls, sanctions, employment, data transfers and dispute enforcement. A website accessible globally does not always mean the business has the same obligations everywhere, but deliberate targeting of a market may create legal connections.

A market-entry assessment should examine:

  • customer location and targeting methods;
  • local registration or licensing requirements;
  • consumer cancellation, warranty and language rules;
  • indirect-tax registration and reporting;
  • import duties, product labelling and safety standards;
  • restrictions on payment, encryption, content or exports;
  • transfer mechanisms for personal data;
  • local representatives and complaint handling; and
  • enforceability of terms and dispute mechanisms.

Geographic blocking, local pricing and delivery restrictions can reduce exposure but may also create discrimination or consumer-law concerns. A venture should not promise worldwide availability until it has assessed whether its products, data practices and contracts can lawfully operate in each target market.

9. Algorithmic Bias, Automation and Artificial Intelligence

Algorithms influence search rankings, credit decisions, fraud detection, prices, recommendations, hiring and customer support. Bias can enter through historical data, unrepresentative samples, proxy variables, measurement choices, optimisation targets or feedback loops. Even if a model does not use a protected characteristic directly, variables such as postcode, language or device type may act as proxies.

A practical algorithmic accountability process includes:

  1. Define the decision and the people affected.
  2. Identify the lawful and ethical purpose.
  3. Test data quality, representativeness and relevant error patterns.
  4. Evaluate disparate impacts across appropriate groups.
  5. Document model design, assumptions and limitations.
  6. Provide human review for significant or contested decisions.
  7. Monitor outcomes after deployment.
  8. Establish correction, appeal and shutdown procedures.

No single fairness metric is universally correct. Statistical parity, equalised error rates and individual fairness can conflict, particularly when base rates differ. The choice of metric must follow the decision’s context, legal requirements and ethical purpose rather than being selected to produce a convenient result.

Generative AI creates additional risks: inaccurate outputs, confidential-data leakage, copyright disputes, impersonation, discriminatory content and overreliance on automated advice. Human oversight must be substantive, not merely a nominal approval step. High-impact uses require stronger validation, transparency, documentation and escalation.

10. Sustainability, Inclusion and Responsible Design

Responsible commerce considers externalities: costs imposed on workers, communities, ecosystems or future generations that are not reflected in the transaction price. E-commerce may increase convenience while generating packaging waste, delivery emissions, returns waste, energy demand and precarious labour conditions.

Sustainability claims should be specific, evidence-based and comparable. A business should distinguish between reducing emissions in its own operations, financing reductions elsewhere and purchasing offsets. Life-cycle thinking considers extraction, production, transport, use, returns and end-of-life. Practical measures include right-sized packaging, repair and resale programmes, consolidated delivery, supplier standards and transparent impact reporting.

Inclusion concerns who can access, afford, understand and benefit from the service. It includes disability access, language, connectivity, payment options, geographic coverage, cultural respect and fair treatment of marginalised groups. Inclusive design should involve affected users in testing rather than assuming that a single design serves everyone.

Ethical responsibility extends through the supply chain. Supplier codes should address forced labour, child labour, wages, working time, safety, environmental performance and grievance mechanisms. Audits alone are insufficient if suppliers are pressured by unrealistic prices or delivery times. Purchasing practices must be consistent with the standards the venture claims to uphold.

11. Governance and Accountability Framework

Governance converts principles into authority, evidence and consequences. Even a small venture can establish a proportionate framework with the following elements:

Governance elementPractical question
Purpose and principlesWhat values guide commercial decisions?
RolesWho owns privacy, security, tax, safety and customer fairness?
PoliciesWhat conduct and controls are required?
Risk assessmentWhat could harm customers, workers or the venture?
DocumentationWhat evidence shows that controls operated?
MonitoringWhich indicators reveal emerging problems?
ReportingWho receives complaints, incidents and audit results?
RemedyHow are errors corrected and affected people compensated?
ReviewWhen are policies and models reassessed?

A useful accountability chain is: decision owner → risk owner → review or approval → monitoring → incident escalation → remedy → learning. The chain prevents “everyone is responsible” from becoming “no one is accountable.” Boards and founders should receive meaningful information rather than only technical activity measures. For example, the number of privacy notices issued says little about whether customers understood data practices.

A risk register can rank issues using qualitative categories such as low, medium and high, supported by evidence. If numerical scoring is used, the scale and assumptions must be documented; a score does not convert uncertainty into objective truth. Material risks should have preventive controls, detective controls and corrective actions.

12. Illustrative Case: GreenCart Marketplace

Background

GreenCart is a fictional online marketplace for household products marketed as sustainable. It uses a recommendation engine, contracts independent delivery partners and sells to customers in three countries. Its founders rely on a major marketplace platform for traffic and use a cloud provider to store customer data.

Problem

GreenCart advertises products as “zero-impact,” preselects an environmental contribution at checkout and makes subscription cancellation difficult to find. Its recommendation model ranks products with higher commission rates more prominently. The company collects precise location data for all users, retains abandoned-cart records indefinitely and has no documented process for responding to data requests. A supplier provides recycled-content claims without reliable evidence. The platform later suspends GreenCart after detecting misleading environmental claims.

Analysis

Several risks interact. The environmental claims may be misleading if “zero-impact” is not defined and substantiated. The preselected contribution and difficult cancellation may constitute dark patterns and unfair commercial conduct. Ranking based on commission may be permissible if disclosed and governed, but presenting paid placement as neutral recommendation undermines transparency. Indefinite retention conflicts with data minimisation and storage limitation principles unless a documented purpose justifies it. The absence of a data-rights process creates operational and legal exposure. Finally, platform suspension demonstrates that private platform rules can be commercially decisive even before a public regulator acts.

Approach and solution

GreenCart should first pause unsupported claims and label sponsored ranking clearly. It should redesign checkout so that contributions and subscriptions require an affirmative, informed choice, with cancellation available through an equally simple path. It should conduct a data inventory, remove unnecessary precise location collection, define retention periods and appoint a responsible person for rights requests and incidents.

The recommendation model should separate commercial promotion from organic relevance, document ranking factors and test whether certain suppliers or consumer groups are systematically disadvantaged. Customers should receive an understandable explanation of sponsored placement and a route for complaints. Supplier contracts should require evidence for environmental claims, audit access and corrective action. GreenCart should create a platform-compliance checklist and an appeal file containing relevant records.

For cross-border sales, the company should assess tax registration, consumer remedies, product rules and international data transfers in each target market. It should also establish a governance dashboard covering complaints, refunds, claim substantiation, accessibility defects, security incidents, model reviews and supplier performance.

Outcome

In this illustrative case, GreenCart cannot guarantee that every risk disappears. However, the redesigned controls make choices more meaningful, claims more defensible, data practices more proportionate and algorithmic decisions more reviewable. The company also becomes more resilient because it is less dependent on undocumented assumptions and a single platform relationship.

Learning points

  1. Legal, ethical and commercial risks often arise from the same design decision.
  2. Transparency must appear at the moment of choice, not only in a long policy.
  3. Third-party suppliers and platforms do not eliminate the entrepreneur’s accountability.
  4. Responsible AI requires monitoring and remedy, not only model development.
  5. Governance is valuable because it creates evidence, ownership and learning.

13. Implementation Roadmap for Entrepreneurs

A practical start-up roadmap can proceed in stages:

Before launch: identify the legal entity and markets; map products and data; secure IP rights; draft terms and privacy information; assess tax, safety and licensing duties; select vendors carefully; test accessibility and checkout fairness.

During launch: monitor complaints, refunds, failed payments, security alerts, misleading-content reports and platform notices. Keep evidence for claims, consent, contracts and supplier checks.

During growth: appoint accountable owners; conduct privacy and algorithmic impact assessments where appropriate; formalise incident response; diversify critical platforms; review cross-border obligations; audit suppliers and update customer communications.

After incidents: contain harm, preserve evidence, notify relevant parties where required, provide remedy, investigate root causes and revise controls. A defensive response that blames users or contractors often increases reputational and regulatory damage.

Challenges and Limitations

Compliance is difficult because legal rules differ, technologies change faster than legislation, and ethical concepts such as fairness and sustainability involve competing values. Small ventures may lack specialist staff and may depend on powerful platforms whose terms they cannot negotiate. Excessive compliance bureaucracy can also slow experimentation and exclude small entrants.

The answer is proportionality, not neglect. Businesses should prioritise risks according to potential severity, likelihood, affected populations and reversibility. They should seek expert advice for high-impact decisions, document uncertainty and avoid claiming certainty where evidence is incomplete. Responsible governance is not a guarantee of perfect outcomes; it is a demonstrable commitment to anticipation, transparency, accountability and remedy.

Chapter Summary

Digital entrepreneurship operates within a network of public law, private contracts, platform rules and ethical expectations. Consumer protection requires truthful claims, fair pricing, meaningful choice, accessible design and effective remedies. Electronic contracts should make formation, terms, records and dispute processes clear. Tax and payment obligations depend on the venture’s structure, transaction flows and jurisdictions, requiring disciplined records and professional advice.

Intellectual-property governance requires ownership tracing, appropriate licensing and protection of code, content, brands, inventions and confidential information. Privacy and data protection demand purpose limitation, minimisation, transparency, security, retention controls and individual rights processes. Platform rules can determine market access, while cross-border operations create additional consumer, tax, customs, data-transfer and product obligations.

Responsible commerce goes beyond formal legality. Entrepreneurs must evaluate dark patterns, algorithmic bias, accessibility, sustainability, supply-chain conditions and the effects of automation. Effective governance assigns roles, documents decisions, monitors outcomes and provides correction and remedy. The central strategic lesson is that responsible conduct is not merely a cost of compliance: it supports trust, resilience, market access and durable digital value creation.

Key Terms

Consumer protection: Rules and practices that safeguard buyers against harm, deception and unfair treatment.

Electronic contract: A legally recognised agreement formed or recorded through electronic communications.

Clickwrap: An agreement requiring a user to actively indicate acceptance of terms.

Dark pattern: An interface design that manipulates or obstructs a user’s free and informed choice.

Personal data: Information relating to an identified or identifiable person.

Data minimisation: Collecting only data that is relevant and necessary for a stated purpose.

Privacy notice: A communication explaining how an organisation handles personal data.

Data controller: An entity that determines relevant purposes and means of processing, where that legal category applies.

Data processor: An entity that processes data on behalf of another entity, where that legal category applies.

Intellectual property: Legal rights protecting creations, inventions, brands, designs and confidential information.

Trademark: A sign capable of distinguishing the goods or services of one undertaking from another.

Trade secret: Confidential commercially valuable information protected through secrecy measures.

Platform governance: Rules, processes and enforcement mechanisms used by a digital intermediary.

Algorithmic bias: Systematic and unjustified disadvantage produced or amplified by an automated system.

Human oversight: Meaningful human ability to understand, review, intervene in or stop an automated process.

Sustainability claim: A statement about environmental or social performance that should be accurate and substantiated.

Accountability: The obligation to explain decisions, demonstrate compliance and provide remedy.

Cross-border compliance: Meeting legal and ethical obligations across multiple jurisdictions.

Governance: Structures and processes for directing, monitoring and controlling an organisation.

Review Questions

Short Answer Questions

  1. Why is compliance in digital entrepreneurship a continuous operating capability rather than a one-time document?
  2. Define a dark pattern and give two examples.
  3. What is the difference between data minimisation and data retention?
  4. Identify four intellectual-property categories relevant to an online venture.
  5. Why can a business be legally compliant yet still violate a platform’s rules?

Long Answer Questions

  1. Explain how consumer protection principles should influence the design of an online checkout process.
  2. Discuss the principal legal and operational challenges of cross-border e-commerce.
  3. Explain how a digital venture can establish a proportionate privacy and cybersecurity programme.
  4. Analyse the relationship between algorithmic bias, transparency and human oversight.
  5. Discuss why sustainability and inclusion should be treated as governance issues rather than merely marketing concerns.

Analytical / Application Questions

  1. An online retailer preselects insurance, hides mandatory delivery charges until the final screen and requires three steps to cancel a subscription. Analyse the consumer-protection and ethical risks and propose a redesign.
  2. A recommendation system gives higher rankings to sellers paying larger commissions, but the website describes rankings as “best matches for you.” Identify the governance issues and design a fairer disclosure and monitoring process.
  3. A start-up plans to sell wearable health devices in four countries while storing location and health-related data with an overseas cloud provider. Prepare a compliance-assessment plan covering privacy, contracts, product obligations, taxation and cross-border risk.

Multiple Choice Questions with Answers

Question 1

Which practice is most clearly an example of a dark pattern?

A. Showing a clear summary of delivery charges before payment

B. Making subscription cancellation substantially harder than enrolment

C. Providing an accessible privacy notice

D. Allowing customers to compare products

Correct Answer: B. Making subscription cancellation substantially harder than enrolment

Question 2

What is the principal purpose of data minimisation?

A. To collect all data that might become useful

B. To retain data permanently for analytics

C. To collect only data relevant and necessary for a stated purpose

D. To avoid documenting data-processing activities

Correct Answer: C. To collect only data relevant and necessary for a stated purpose

Question 3

Which document is most useful for demonstrating the basis of an environmental marketing claim?

A. A competitor’s advertisement

B. A substantiation file containing evidence and review records

C. An unsigned internal slogan list

D. A customer’s unrelated product review

Correct Answer: B. A substantiation file containing evidence and review records

Question 4

Why should an e-commerce venture review open-source software licences?

A. Open-source software has no conditions of use

B. Licences may impose obligations such as attribution or source-code disclosure

C. Open-source software cannot be used commercially

D. Licences apply only to physical products

Correct Answer: B. Licences may impose obligations such as attribution or source-code disclosure

Question 5

Which governance measure most directly supports accountability for automated decisions?

A. Removing all human involvement

B. Documenting decision ownership, monitoring outcomes and providing appeal or correction

C. Using the most complex model available

D. Keeping model limitations confidential

Correct Answer: B. Documenting decision ownership, monitoring outcomes and providing appeal or correction

Question 6

What is the best description of cross-border compliance?

A. Applying only the law of the entrepreneur’s home country

B. Avoiding all sales outside the home country

C. Assessing obligations arising across the relevant markets and jurisdictions

D. Using a global website without reviewing local rules

Correct Answer: C. Assessing obligations arising across the relevant markets and jurisdictions

Question 7

Which item is typically part of a cybersecurity incident-response plan?

A. Deleting all evidence immediately

B. Identifying containment, communication and notification responsibilities

C. Disabling customer complaints

D. Publishing unverified technical details

Correct Answer: B. Identifying containment, communication and notification responsibilities

Question 8

A platform describes paid product placement as an organic recommendation. What is the primary responsible-commerce concern?

A. Lack of transparency about a material commercial influence

B. Excessive accessibility testing

C. Overuse of copyright notices

D. Too much disclosure of sponsorship

Correct Answer: A. Lack of transparency about a material commercial influence

Question 9

Which action best reflects inclusive digital design?

A. Testing only with expert users

B. Requiring visual-only interaction for checkout

C. Providing accessible navigation, readable content and multiple support options

D. Offering one language regardless of market

Correct Answer: C. Providing accessible navigation, readable content and multiple support options

Question 10

Using the chapter’s reconciliation, if gross receipts are 10,000, refunds are 800, platform fees are 600 and payment fees are 200, what is the net remittance before any separate tax withholding?

A. 8,400

B. 8,600

C. 9,200

D. 9,800

Correct Answer: A. 8,400

E-Commerce & Digital Entrepreneurship
Chapter 14 of 15