Mirija lectures Flashcards
Connected World model (Garrett & Richie 2018)
Basic:
What are the four key dimensions emphasized in the Connected World Model?
The four key dimensions of the Connected World Model are:
- Platforms: Digital ecosystems where users, businesses, and devices interact. Examples include app stores, cloud services, or data-sharing hubs.
- Partnerships: Strategic collaborations that enable businesses to share strengths and access new markets, as no single company can address all customer needs independently in a connected world.
- Data: The vast amount of information generated through connectivity, which companies analyze to drive innovation, improve customer engagement, and enhance operational efficiency.
- Digital Trust: The foundational assurance of security, privacy, and ethical behavior, ensuring the reliability and transparency necessary for trust in digital interactions.
Connected World model (Garrett & Richie 2018)
Intermediate:
Why is “Digital Trust” considered a critical dimension in the Connected World Model, and how can businesses build it?
Digital Trust is critical because in a hyper-connected world, customers and partners rely heavily on digital systems to manage interactions and transactions.
Without trust, users are less likely to engage, share data, or form partnerships. Trust is essential to ensure:
* Privacy: Protecting sensitive information.
* Security: Guarding against breaches and cyberattacks.
* Transparency: Ethical and honest business practices.
To build Digital Trust, businesses should:
1. Implement strong cybersecurity measures to protect data and systems.
2. Adopt transparent policies about data usage and ensure compliance with legal standards like GDPR.
3. Engage in ethical practices that promote fairness and accountability.
4. Communicate effectively with stakeholders to assure them of the organization’s commitment to security and privacy.
Connected World model (Garrett & Richie 2018)
Advanced:
Explain how platforms, as described in the Connected World Model, contribute to competitive success in a hyper-connected environment.
Platforms are a central component of the Connected World Model because they enable interactions between various stakeholders (users, businesses, and devices) and facilitate the exchange of goods, services, and data. They contribute to competitive success by:
- Creating Network Effects: The value of a platform increases as more users join, leading to exponential growth in utility and adoption. Examples include social media platforms and e-commerce marketplaces.
- Scaling Innovation: Platforms allow companies to integrate third-party innovations and continuously offer enhanced services to customers.
- Streamlining Interactions: By centralizing and simplifying complex processes, platforms enable more efficient and seamless interactions.
- Reducing Costs: Platforms reduce operational expenses by automating and optimizing processes like resource allocation, customer service, and data management.
For instance, platforms like Amazon’s marketplace have transformed traditional retail by providing a digital space where vendors and consumers interact directly, leading to unparalleled scalability and customer reach.
Connected World model (Garrett & Richie 2018)
Expert:
In the context of the Connected World Model, how does the shift from traditional business models to adaptive models impact a company’s value creation and ecosystem integration?
The shift from traditional to adaptive business models represents a transformative approach to value creation and ecosystem integration. This change impacts businesses in several ways:
- Leverage Platforms for Scalability: Adaptive models prioritize platforms as the foundation of their operations. This allows businesses to scale their services quickly by leveraging digital tools and fostering interactions among users, partners, and devices. For example, ride-sharing platforms like Uber thrive by connecting drivers and passengers efficiently.
- Focus on Ecosystems: Instead of creating standalone products, adaptive models focus on building ecosystems where their offerings complement and integrate with other products or services. For instance, Apple’s ecosystem integrates hardware, software, and services like iCloud, creating a seamless user experience.
- Continuous Innovation: Adaptive models embrace agility, relying on real-time feedback from users and data analytics to refine and innovate their offerings continuously. This ensures the company stays competitive and responsive to market changes.
- Customer-Centric Design: The shift emphasizes understanding and aligning with customer behavior, ensuring products and services integrate seamlessly into their daily lives. This approach enhances user satisfaction and loyalty.
Digital Offerings model, Ross et. al
Basic:
What is the primary goal of the Digital Offerings Model?
The primary goal of the Digital Offerings Model is to bridge the gap between what customers desire and what organizations can deliver through digital innovation. It emphasizes crafting offerings that are compelling, user-centric, and technologically advanced to enhance customer satisfaction and loyalty. By doing so, it ensures that businesses remain relevant in a competitive digital landscape.
Digital Offerings model, Ross et. al
Intermediate:
What are the two key elements that the Digital Offerings Model emphasizes to deliver value to customers?
The two key elements of the model are:
- Understanding Customer Desires and Needs: Businesses must actively engage with their customers to identify their preferences, pain points, and expectations. This requires thorough market research and customer feedback loops.
- Leveraging Technology-Driven Solutions: The model promotes the use of advanced technologies such as AI, IoT, and data analytics to design innovative solutions that address customer needs. This integration ensures that the offerings remain modern, efficient, and user-friendly.
Digital Offerings model, Ross et. al
Advanced:
How does the Digital Offerings Model help organizations innovate while maintaining customer satisfaction?
The Digital Offerings Model fosters innovation by encouraging businesses to use real-time data and customer insights to create solutions that are both relevant and forward-thinking. Key mechanisms include:
- Iterative Design: The model supports continuous improvement based on customer feedback, ensuring offerings evolve with user expectations.
- Personalization: By leveraging data, organizations can tailor products or services to individual needs, enhancing the overall customer experience.
- Seamless Integration: The model ensures that digital offerings are compatible with customers’ existing ecosystems, reducing friction and improving usability.
These principles help businesses achieve a balance between technological advancements and customer satisfaction.
Digital Offerings model, Ross et. al
Expert:
Explain how the Digital Offerings Model supports businesses in differentiating themselves from competitors in a highly digitalized market.
The Digital Offerings Model enables differentiation by focusing on customer-centric innovation and technology integration. It supports businesses by:
- Harnessing Data-Driven Insights: Companies can analyze customer behavior and preferences to anticipate future needs and develop unique solutions.
- Creating Unique Experiences: By using advanced technologies like augmented reality, AI, or blockchain, businesses can deliver experiences that are memorable and difficult to replicate.
- Building a Strong Brand Identity: Consistently offering tailored and innovative digital solutions strengthens a company’s reputation as a leader in its market.
- Enhancing Value Propositions: The model ensures that offerings are not only technologically advanced but also aligned with customer values, fostering loyalty and trust.
By leveraging these strategies, businesses can stand out in a crowded market, making it challenging for competitors to compete on the same level.
IOT-model, Garrett & Richie
Basic:
What are the five stages of integration described in the IoT Model?
The five stages are:
1. Intra-Product Integration
2. Inter-Brand Product Integration
3. Intra-Brand Touchpoint Integration
4. Intra-Industry Integration
5. Inter-Industry Integration.
IOT-model, Garrett & Richie
Intermediate:
How does “Intra-Product Integration” differ from “Inter-Brand Product Integration”?
- Intra-Product Integration:
Involves a single product working seamlessly within itself, such as a smartwatch tracking steps and heart rate using internal systems. - Inter-Brand Product Integration:
Refers to products from the same brand working together, like an Apple Watch syncing with an iPhone.
IOT-model, Garrett & Richie
Advanced:
Why is “Inter-Industry Integration” considered the most complex stage in the IoT Model?
Inter-Industry Integration requires products from entirely different industries to work together, creating seamless user experiences. For example, a smart car syncing with a smart home or a wearable device coordinating with healthcare providers. This stage demands interoperability across diverse technological standards and industries, making it the most complex.
IOT-model, Garrett & Richie
Expert:
How can businesses leverage the progression of integration stages to enhance customer experience and gain a competitive advantage?
Businesses can:
- Evolve Beyond Product Focus: Transition from standalone products to interconnected ecosystems to deliver added value.
- Utilize Interoperability: Collaborate with partners across industries to create integrated solutions, like smart homes connected with energy-efficient systems.
- Enhance Data Utility: Leverage data from integrated devices to provide personalized services, predictive maintenance, and proactive customer support.
- Foster Trust: Prioritize data security and transparency, ensuring trust in highly integrated systems.
Two types of Product-in-use data, Garrett & Richie
Basic:
What are the two types of product-in-use data described by Garrett & Richie?
The two types are:
- Direct Usage Data: Measurable data collected directly from the product during its operation.
- Contextual Data: Data from the broader context in which the product is used, including environmental, situational, and behavioral factors.
Two types of Product-in-use data, Garrett & Richie
Intermediate:
How can Direct Usage Data contribute to product improvement?
Direct Usage Data provides factual insights into the product’s performance and interaction with users. It includes telemetry data, device metrics, and user inputs, enabling companies to identify operational issues and refine product features.
Two types of Product-in-use data, Garrett & Richie
Advanced:
Why is Contextual Data crucial for understanding the customer experience, and how does it complement Direct Usage Data?
Contextual Data offers insights into the environmental, situational, and behavioral factors surrounding product use, such as user mood, location, or complementary interactions. It complements Direct Usage Data by providing a richer, holistic understanding of how and why customers use the product.
Two types of Product-in-use data, Garrett & Richie
Expert:
How can businesses integrate insights from both Direct Usage Data and Contextual Data to enhance their products and services?
Businesses can:
- Combine Data Sources: Integrate direct performance metrics with contextual insights to identify patterns and optimize product design.
- Enhance Ecosystem Fit: Develop features that adapt to user environments or behaviors, creating seamless integration with other products.
- Personalize Customer Experience: Use comprehensive insights to tailor services and provide solutions that align with individual needs and contexts.
- Predict Future Trends: Leverage combined data for predictive analytics to anticipate customer preferences and innovate proactively.
Current Customer Experience, Lemon & Verhoef 2016
Basic:
What are the three stages of the customer journey in the Current Customer Experience Model?
The three stages are:
- Pre-Purchase (Awareness, research, and consideration).
- Purchase (Decision-making and transaction).
- Post-Purchase (Usage, feedback, and loyalty).
Current Customer Experience, Lemon & Verhoef 2016
Intermediate:
What are the four types of touchpoints described in the model, and who controls them?
- Brand-Owned Touchpoints: Controlled by the firm (e.g., websites, apps).
- Partner-Owned Touchpoints: Controlled by intermediaries (e.g., retailer displays).
- Customer-Owned Touchpoints: Internal deliberation or preferences driven by the customer.
- Social/External Touchpoints: Influences from social networks, reviews, or societal trends.
Current Customer Experience, Lemon & Verhoef 2016
Advanced:
How do contextual factors shape the customer experience according to Lemon & Verhoef?
Contextual factors include:
- Social and Cultural Contexts: Peer influence, societal norms, and cultural preferences.
- Situational Contexts: Specific environments, times, or moods affecting interactions.
- Firm’s Strategic Actions: Efforts to align touchpoints and ensure consistent experiences.
Current Customer Experience, Lemon & Verhoef 2016
Expert:
How can firms use feedback from the Current Customer Experience Model to refine their strategies and enhance customer satisfaction?
Firms can:
- Analyze Feedback Across Touchpoints: Identify pain points in the journey.
- Optimize Touchpoint Alignment: Ensure a seamless experience across owned and partner touchpoints.
- Leverage Social/External Data: Use customer reviews and social signals to enhance credibility and make real-time adjustments.
- Adapt Contextually: Incorporate situational and cultural insights into marketing and service design to resonate with target audiences.