LU03 Flashcards

(23 cards)

1
Q

VUCA Environment

A

Volatile, Uncertain, Complex, Ambiguous

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2
Q

Human-centered development of innovations - 3 Methods

A

Design Thinking
Lean Venture
Value Proposition Canvas

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3
Q

Design Thinking Def

A

Innovative method that delivers user- and customer-oriented results based on an iterative to solve complex problems

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4
Q

DT principles & Vorgehensweise

A

Customer-centricity, iterative and prototyping
1. Discover  2. Define  3. Develop  4. Deliver

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5
Q

DT: What and Why

A

 Understanding people’s daily experience
 Identifying themes
 Understanding casual influences
 Mapping who’s involved

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6
Q

DT: How

A

 Seeking feedback from users
 Measuring impact
 Refining the business model
 Rapid testing of ideas

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7
Q

Lean Start-Up def

A

Methodology fo reducing market risk when developing business and products.
Based on hypothesis-driven experimentation, iterative product testing and releases and “validated learning

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8
Q

Lean Start-Up Vorgehensweise

A

Build –> Measure –> Learn
 Identification of User Problem
 MVP
 Test MVO with sample of potential users
 Include results in prototypes
 Test and adapt prototype

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9
Q

Lean Venture Principles

A

 Human-centricity: every design focused on user
 Ambiguity: elaborate different options that can be tested
 Re-design: search and use existing solutions
 Tangibility: prototypes for communication with user

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10
Q

Value creation
/ value added

A

use of organizational resources and capabilities to create a value for users which is worth more than the resources alone

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10
Q

Similarities
between DT, LV, VPC

A

 Systematic integration of customer needs to identify viable business opportunities & create value for customers
 Translation of customer needs into business models to capture value for the company
 Rapid development of corresponding products/ services through prototyping

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11
Q

Customer Value (B2C)  User Value

A

What users get (benefits, quality, worth, utility) from the purchase and from the use of a product relative to what they have to give up or pay (price, costs, sacrifice), thus resulting in an attitude or an emotional bond towards the product

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12
Q

Digitalisation changed view on value creation from an internal perspective …

A

to an external perspective
Value Chain  Service-ecosystem

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13
Q

Value creation through AI

A

Efficiency and cost reduction
Revenue and growth

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14
Q

Value creation through AI - Efficiency and cost reduction through:

A

 Improvement/ refinement of already existing operations
 No revolutionary change in value
 Improved cost efficiency and time spent on activities

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15
Q

Value creation through AI - Revenue and growth through:

A

 Value through support in decisions and improved outcomes
 Information gaps filles with information
 Enables human and technology which are supported with more accurate information

16
Q

Value capture

A

Process of retaining some percentage of the provided value in every transaction. Selling price/ collected data determines amount of value captures by firm, contributing to firm’s profit

17
Q

Value capture through AI
Pricing model types

A

Cost-based pricing:
Value-based Pricing

18
Q

Cost-based pricing

A

 Acquire value with necessary costs + margin for profitability
 Challenge: Neglect customer perception, reduce provider incentives for improvement and innovation

19
Q

Value-based pricing:

A
  • Customer-focused value perception, often overlooking delivery costs
  • Challenges: Value assessment and communication
20
Q

Value capture through AI
contract types

A

Outcome-based:
 Contracts mediate provider-customer value capture conditions (like Rolls-Royce’s “power-by-the-hour)
 Challenge: Parties must share gains and pains

Licensing models/ patents / Ips:
 Effortless value capture with GPTs, tapping into diverse sources for additional revenue streams without extra workload

21
Q

Thermomix Cookidoo  IoT enabled ecosystem-approach
Success factors

A

 Integration of market intelligence in patent process
 Design of IP along customer value and benefits  secure exclusivity of perceived customer value
 Thinking IP from customer decision (what competencies + performance features are perceived by customer?)
 Usage of impact data for continuous improvement of IP Designs