Muutke küpsiste eelistusi

E-raamat: Value of Innovation: Knowing, Proving, and Showing the Value of Innovation and Creativity

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Dec-2017
  • Kirjastus: Wiley-Scrivener
  • Keel: eng
  • ISBN-13: 9781119242420
  • Formaat - EPUB+DRM
  • Hind: 86,39 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Raamatukogudele
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Dec-2017
  • Kirjastus: Wiley-Scrivener
  • Keel: eng
  • ISBN-13: 9781119242420

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Innovation is the life blood of practically every organization. Innovation drives growth, development, and prosperity for many organizations and geographical areas.  Sometimes, innovation thrives within a certain geographical location or in certain organizations that are known for their innovative approaches. This outstanding new volume will demonstrate how to measure the success of innovation in all types of organizations. 

In the last decade, there have been tremendous investments in creativity and innovations sponsored by companies, cities, states, countries, universities, NGO’s, and even non-profits. With the magnitude of emphasis on creativity and innovation, the sponsors and key stakeholders will demand to know the value of these programs. The Value of Innovation: Measuring the Impact and ROI in Creativity and Innovation Programs will show step-by-step how to measure the impact and the ROI of innovation and creativity programs. The process collects six types of data: reaction, learning, application, impact, ROI, and intangibles. Data are collected analyzed and reported using a systematic, logic model. Conservative standards create results that are both CEO and CFO friendly. This proven process has been used now in 5000 organizations and this new book adapts the method directly to this critical area of innovation, showing examples and case studies.

Preface xix
Acknowledgements xxiii
About the Authors xxv
1 The Importance and Challenges of Innovation
1(18)
Innovation Hype
2(2)
Articles
2(1)
Books
2(1)
Jobs
3(1)
Speeches
3(1)
Experience
3(1)
The Realities of Innovation
4(5)
Innovation is Not New
4(1)
Innovation is Necessary for Survival
5(1)
Innovation is Equated with Success
5(1)
Innovation is Truly Global
6(1)
Consumers and Investors Expect Innovation
6(1)
Innovation is Often Disruptive
6(1)
Innovation is Not a Single Event
7(1)
Little Ideas Often Make a Big Difference
7(1)
Innovation Comes in Many Types and Forms
8(1)
Innovation Spans Many Different Horizons
8(1)
Trouble in Paradise: The Misconceptions
9(3)
Misconception 1 Small Companies are More Innovative
10(1)
Misconception 2 Uncontested Markets are Good for Innovation
10(1)
Misconception 3 Spending More on R&D Increases Innovation
10(1)
Misconception 4 Companies Need More Radical Innovation
10(1)
Misconception 5 Open Innovation Turbocharges R&D
11(1)
Misconception 6 R&D Needs to be More Relevant
11(1)
Misconception 7 Wall Street Rewards Innovation
11(1)
Innovation Challenges
12(5)
Innovation is Expensive
12(1)
Managing Innovation is Difficult
13(1)
An Innovation Culture is Necessary for Success
13(1)
Innovation Requires Many Personas
14(2)
Innovation Success Rates Need to Improve
16(1)
The Value of Innovation is Unclear
16(1)
Final Thoughts
17(2)
2 Status and Concerns about Innovation Measurement
19(16)
Innovation: Definition, Models, and Measures
20(1)
Sources of Innovation
21(2)
Measurement Shifts
23(4)
Measurement Shifts are Common
23(1)
Value Perception
24(1)
The Search for Money
24(1)
Hoping, Knowing, Proving, and Showing Value
25(1)
Innovation is Systematic
25(2)
Macro View of Measurement
27(5)
Industry Level Measures
29(1)
Company Level
30(1)
Concerns about Company Level Measures
30(2)
Micro View of Measurement
32(2)
Final Thoughts
34(1)
3 The Case for a New System
35(24)
Innovation: A Cost or an Investment?
36(2)
The Value of Innovation: A Summary
38(3)
Intangibles and the Fear of not Investing
38(1)
Relationship Between Variables
39(2)
ROI Studies
41(1)
Types of Data
41(4)
Inputs
41(1)
Reaction and Planned Action
42(1)
Learning
43(1)
Application and Implementation
43(1)
Impact
44(1)
Return on Investment
44(1)
How Does Your Current System Stack Up?
45(4)
Focus of Use
45(2)
Standards
47(1)
Types of Data
47(1)
Dynamic Adjustments
47(1)
Connectivity
48(1)
Approach
48(1)
Conservative Nature
48(1)
Simplicity
48(1)
Theoretical Foundation
49(1)
Acceptance
49(1)
Using Design Thinking to Deliver and Measure Results
49(6)
Start with Why: Aligning Projects with the Business
50(1)
Make it Feasible: Selecting the Right Solution
51(1)
Expect Success: Designing for Results
52(1)
Make it Matter: Designing for Input, Reaction, and Learning
52(1)
Make it Stick: Designing for Application and Impact
53(1)
Make it Credible: Measuring Results and Calculating ROI
53(1)
Tell the Story. Communicating Results to Key Stakeholders
54(1)
Optimize the Results: Using Black Box Thinking to Increase Funding
54(1)
Requirements for the Value of Innovation: A Measurement Process
55(1)
ROI Measurement Methodology™
56(1)
Terminology: Projects, Solutions, Participants...
57(1)
Final Thoughts
57(2)
4 Introducing the ROI Methodology
59(22)
The ROI Methodology
60(1)
Types of Data
60(3)
The Initial Analysis
63(2)
The ROI Process Model
65(10)
Planning the Evaluation
66(1)
Evaluation Purpose
66(1)
Feasibility
67(1)
Data Collection Plan
68(1)
ROI Analysis Plan
68(3)
Project Plan
71(1)
Collecting Data
71(1)
Isolating the Effects of the Project
72(1)
Converting Data to Monetary Values
72(1)
Identifying Intangible Benefits
73(1)
Tabulating Project Costs
74(1)
Calculating the Return on Investment
74(1)
Reporting
75(1)
Operating Standards and Philosophy
75(1)
Implementing and Sustaining the Process
76(1)
Benefits of This Approach
76(5)
Aligning with Business
77(1)
Validating the Value Proposition
77(1)
Improving Processes
77(1)
Enhancing the Image and Building Respect
78(1)
Improving Support
78(1)
Justifying or Enhancing Budgets
78(1)
Building a Partnership with Key Executives
79(1)
Earning a Seat at the Table
79(1)
Final Thoughts
79(2)
5 Aligning Innovation Projects to the Organization
81(26)
Creating Business Alignment
83(3)
The Purpose of Alignment
83(1)
Disciplined Analysis
84(2)
Determining the Potential Payoff
86(4)
Obvious Versus not-so-obvious Payoff
87(2)
The Cost of a Problem
89(1)
The Value of an Opportunity
90(1)
To Forecast or not to Forecast?
90(1)
Determining Business Needs
90(5)
The Opportunity
91(1)
Hard Data Measures
91(1)
Soft Data Measures
92(1)
Tangible versus Intangible Benefits: A Better Approach
93(1)
Impact Data Sources
94(1)
Determining Performance Needs
95(1)
Analysis Techniques
95(1)
A Sensible Approach
95(1)
Determining Learning Needs
96(1)
Determining Preference Needs
97(1)
Case Study: Southeast Corridor Bank
98(4)
Payoff Needs
98(1)
Business Needs
99(1)
Performance Needs
99(1)
The Solution
100(1)
Learning Needs
101(1)
Preference Needs
102(1)
Developing Objectives for Innovation Projects
102(4)
Reaction Objectives
102(1)
Learning Objectives
103(1)
Application and Implementation Objectives
103(1)
Impact Objectives
104(1)
ROI Objectives
105(1)
Final Thoughts
106(1)
6 Collecting Data Along Chain of Impact with a Toolbox of Methods
107(32)
Questionnaires and Surveys
109(11)
Types of Questions and Statements
109(1)
Design Issues
110(1)
A Detailed Example
111(2)
Improving the Response Rate for Questionnaires and Surveys
113(7)
Using Interviews
120(2)
Types of Interviews
121(1)
Interview Guidelines
121(1)
Using Focus Groups
122(2)
Applications for Evaluation
122(1)
Guidelines
123(1)
Measuring with Tests
124(1)
Measuring with Simulation
124(1)
Task Simulation
124(1)
Role-Playing/Skill Practice
125(1)
Using Observation
125(3)
Guidelines for Effective Observation
125(2)
Observation Methods
127(1)
Using Action Plans
128(6)
Using Action Plans Successfully
129(3)
Advantages/Disadvantages of Action Plans
132(1)
Using Performance Contracts
133(1)
Monitoring Business Performance Data
134(1)
Existing Measures
134(1)
Developing New Measures
135(1)
Selecting the Appropriate Method for Each Level
135(3)
Type of Data
135(1)
Participants' Time for Data Input
136(1)
Manager Time for Data Input
136(1)
Cost of Method
137(1)
Disruption of Normal Work Activities
137(1)
Accuracy of Method
137(1)
Utility of an Additional Method
137(1)
Cultural Bias for Data Collection Method
138(1)
Final Thoughts
138(1)
7 Measuring Reaction and Perceived Value
139(10)
Why Measure Reaction and Perceived Value?
140(3)
Customer Satisfaction
141(1)
Immediate Adjustments
141(1)
Predictive Capability
141(1)
Important but not Exclusive
142(1)
Sources of Data
143(2)
Participants
143(1)
Participant Managers
143(1)
Other Team Members
143(1)
Internal or External Customers
144(1)
Project Leaders and Team Members
144(1)
Sponsors and Senior Managers
144(1)
Records and Previous Studies
144(1)
Areas of Feedback
145(1)
Data Collection Timing
146(1)
Data Collection Methods
146(1)
Questionnaires and Surveys
146(1)
Interviews
147(1)
Focus Groups
147(1)
Using Reaction Data
147(1)
Final Thoughts
148(1)
8 Measuring Learning
149(14)
Why Measure Learning and Confidence?
150(3)
The Importance of Intellectual Capital
151(1)
The Learning Organization
152(1)
The Compliance Issue
152(1)
The Use and Development of Competencies
152(1)
The Role of Learning in Innovation Projects
153(1)
The Challenges and Benefits of Measuring Learning
153(2)
Challenges
154(1)
The Benefits of Measuring Learning
154(1)
Measurement Issues
155(2)
Project Objectives
155(1)
Typical Measures
155(1)
Timing
156(1)
Data Collection Methods
157(3)
Questionnaires and Surveys
157(1)
Performance Tests
157(1)
Technology and Task Simulations
158(1)
Case Studies
159(1)
Role-Playing and Skill Practice
159(1)
Informal Assessments
159(1)
Administrative Issues
160(2)
Reliability and Validity
160(1)
Consistency
161(1)
Pilot Testing
161(1)
Scoring and Reporting
161(1)
Using Learning Data
162(1)
Final Thoughts
162(1)
9 Measuring Application and Implementation
163(14)
Why Measure Application and Implementation?
165(2)
Information Value
165(1)
Project Focus
166(1)
Problems and Opportunities
166(1)
Reward Effectiveness
167(1)
Challenges
167(2)
Linking with Learning
168(1)
Building Data Collection into the Project
168(1)
Ensuring a Sufficient Amount of Data
168(1)
Addressing Application Needs at the Outset
169(1)
Measurement Issues
169(2)
Methods
169(1)
Objectives
170(1)
Areas of Coverage
170(1)
Data Sources
170(1)
Timing
170(1)
Responsibilities
171(1)
Data Collection Methods
171(3)
Using Questionnaires to Measure Application and Implementation
172(1)
Using Interviews, Focus Groups, and Observation
172(1)
Using Action Plans
172(2)
Barriers to Application
174(1)
Application Data Use
174(1)
Final Thoughts
175(2)
10 Measuring Impact
177(16)
Why Measure Business Impact?
178(2)
Higher-Level Data
178(1)
A Business Driver for Projects
179(1)
"The Money" for Sponsors
179(1)
Easy to Measure
180(1)
Collecting Effective Impact Measures
180(3)
Data Categories
180(1)
Metric Fundamentals
181(1)
Identifying Specific Measures Linked to Projects
182(1)
Business Performance Data Monitoring
183(2)
Identify Appropriate Measures
184(1)
Convert Current Measures to Usable Ones
184(1)
Develop New Measures
184(1)
Data Collection Methods
185(5)
Using Action Plans to Develop Business Impact Data
185(2)
Using Performance Contracts to Measure Business Impact
187(2)
Using Questionnaires to Collect Business Impact Measures
189(1)
Measuring the Hard to Measure
190(2)
Everything Can Be Measured
190(1)
Perceptions are Important
191(1)
Every Measure Can Be Converted to Money, but not Every Measure Should Be
191(1)
Special Emphasis on Intangibles
192(1)
Final Thoughts
192(1)
11 Isolating the Effects of Innovation
193(22)
Why the Concern over this Issue?
196(2)
Reality
196(1)
Myths
196(2)
Preliminary Issues
198(2)
Chain of Impact
198(1)
Identify other Factors: A First Step
199(1)
Isolation Methods
200(14)
Control Groups
200(3)
Trend Line Analysis
203(2)
Mathematical Modeling
205(1)
Estimates
206(1)
Participants' Estimate of Impact
206(3)
Managers Estimate of Impact
209(1)
Customer Estimates of Project Impact
209(1)
Internal or External Expert Estimates
210(1)
Estimate Credibility: The Wisdom of Crowds
210(2)
Calculate the Impact of other Factors
212(1)
Select the Technique
213(1)
Final Thoughts
214(1)
12 Converting Data to Money
215(26)
Why Convert Data to Monetary Values?
217(5)
Value Equals Money
217(1)
Impact is More Understandable
217(1)
Converting to Monetary Values is Similar to Budgeting
218(1)
Monetary Value is Vital to Organizational Operations
218(1)
Monetary Values are Necessary to Understand Problems and Cost Data
219(1)
Key Steps in Converting Data to Money
219(3)
Standard Monetary Values
222(7)
Converting output Data to Money
222(1)
Calculating the Cost of Quality
223(4)
Converting Employee Time Using Compensation
227(1)
Finding Standard Values
228(1)
When Standard Values are not Available
229(5)
Using Historical Costs from Records
229(1)
Time
229(1)
Availability
230(1)
Access
230(1)
Accuracy
230(1)
Using Input from Experts
230(1)
Using Values from External Databases
231(1)
Linking with other Measures
232(1)
Using Estimates from Participants
233(1)
Using Estimates from the Management Team
233(1)
Using Project Staff Estimates
234(1)
Technique Selection and Finalizing Value
234(5)
Choose a Technique Appropriate for the Type of Data
235(1)
Move from Most Accurate to Least Accurate
235(1)
Consider Source Availability
235(1)
Use the Source with the Broadest Perspective on the Issue
236(1)
Use Multiple Techniques When Feasible
236(1)
Apply the Credibility Test
236(2)
Consider the Possibility of Management Adjustment
238(1)
Consider the Short-Term/Long-Term Issue
238(1)
Consider an Adjustment for the Time Value of Money
239(1)
Final Thoughts
239(2)
13 Addressing Intangibles
241(14)
Why Intangibles are Important
244(2)
Intangibles are the Invisible Advantage
244(1)
We are Entering the Intangible Economy
245(1)
More Intangibles are Converted to Tangibles
245(1)
Intangibles Drive Innovation Projects
246(1)
The Magnitude of the Investment
246(1)
Measuring and Analyzing Intangibles
246(7)
Measuring the Intangibles
247(2)
Converting to Money
249(2)
Identifying and Collecting Intangibles
251(1)
Analyzing Intangibles
252(1)
Final Thoughts
253(2)
14 Measuring ROI
255(18)
Why Monitor Costs and Measure ROI?
258(1)
Fundamental Cost Issues
259(4)
Fully Loaded Costs
259(1)
Costs Reported without Benefits
260(1)
Develop and Use Cost Guidelines
261(1)
Sources of Costs
262(1)
Prorated versus Direct Costs
262(1)
Employee Benefits Factor
263(1)
Specific Costs to Include
263(2)
Initial Analysis and Assessment
264(1)
Development of Project Solutions
264(1)
Acquisition Costs
264(1)
Implementation Costs
264(1)
Maintenance and Monitoring
265(1)
Support and Overhead
265(1)
Evaluation and Reporting
265(1)
The ROI Calculation
265(5)
Benefits/Costs Ratio
266(1)
ROI Formula
267(2)
ROI Objective
269(1)
Other ROI Measures
270(2)
Payback Period (Breakeven Analysis)
270(1)
Discounted Cash Flow
271(1)
Internal Rate of Return
271(1)
Final Thoughts
272(1)
15 Forecasting Value, Including ROI
273(28)
Why Forecast ROI?
278(4)
Expensive Projects
279(1)
High Risks and Uncertainty
279(1)
Postproject Comparison
279(1)
Compliance
280(1)
The Trade-offs of Forecasting
280(2)
Preproject ROI Forecasting
282(11)
Basic Model
282(1)
Basic Steps to Forecast ROI
283(4)
Sources of Expert Input
287(1)
Securing Input
287(1)
Conversion to Money
288(1)
Estimate Project Costs
288(1)
Case Study
289(4)
Forecasting with a Pilot Program
293(1)
Forecasting with Reaction Data
293(3)
Case Study: Forecasting ROI from Reaction Data
294(1)
Use of the Data
295(1)
Forecasting Guidelines
296(3)
Final Thoughts
299(2)
16 Reporting Results
301(22)
The Importance of Communicating Results?
303(1)
Communication is Necessary to Make Improvements
303(1)
Communication is Necessary to Explain the Contribution
303(1)
Communication is a Politically Sensitive Issue
304(1)
Different Audiences Need Different Information
304(1)
Principles of Communicating Results
304(3)
Communication Must Be Timely
305(1)
Communication Should Be Targeted to Specific Audiences
305(1)
Media Should Be Carefully Selected
305(1)
Communication Should Be Unbiased and Modest in Tone
305(1)
Communication Must Be Consistent
306(1)
Make the Message Clear
306(1)
Testimonials Must Come from Respected Individuals
306(1)
The Audience's Bias of the Project Will Influence the Communication Strategy
306(1)
Storytelling is Essential
307(1)
The Process for Communicating Results
307(1)
The Need for Communication
308(1)
The Communication Plan
309(1)
The Audience for Communications
309(3)
Basis for Selecting the Audience
311(1)
Information Development: The Impact Study
312(1)
Media Selection
312(4)
Meetings
312(2)
Interim and Progress Reports
314(1)
Routine Communication Tools
315(1)
E-mail and Electronic Media
316(1)
Project Brochures and Pamphlets
316(1)
Case Studies
316(1)
Delivering the Message
316(6)
Routine Feedback on Project Progress
317(2)
Storytelling
319(1)
Presentation of Results to Senior Management
320(2)
Reactions to Communication
322(1)
Final Thoughts
322(1)
17 Implementing and Sustaining ROI
323(20)
Why is this Important?
324(3)
Resistance is Always Present
326(1)
Implementation is the Key to Success
326(1)
Consistency is Needed
326(1)
Efficiency
326(1)
Value is Maximized
326(1)
Implementing the Process: Overcoming Resistance
327(1)
Review Current Results
328(1)
Developing Roles and Responsibilities
328(3)
Identifying a Champion
329(1)
Developing the ROI Leader
329(1)
Establishing a Task Force
329(1)
Assigning Responsibilities
330(1)
Establishing Goals and Plans
331(1)
Setting Evaluation Targets
331(1)
Developing a Plan for Implementation
332(1)
Revising or Developing Policies and Guidelines
332(2)
Preparing the Project Team
334(1)
Involving the Project Team
334(1)
Using ROI as a Learning and Project Improvement Tool
334(1)
Teaching the Team
334(1)
Initiating ROI Studies
335(1)
Selecting the Initial Project
335(1)
Developing the Planning Documents
335(1)
Reporting Progress
336(1)
Establishing Discussion Groups
336(1)
Preparing the Sponsors and Management Team
336(1)
Removing Obstacles
337(2)
Dispelling Myths
337(1)
Delivering Bad News
338(1)
Using the Data
338(1)
Monitoring Progress
339(1)
Final Thoughts
340(3)
References 343(8)
Index 351
Jack J. Phillips, PhD is Chairman of ROI Institute and a world-renowned expert on measurement and evaluation. Phillips provides consulting services for Fortune 500 companies and workshops for major conference providers worldwide. Phillips is also the author or editor of more than a hundred books and hundreds of articles. His work has been featured in the Wall Street Journal, Bloomberg Businessweek, Fortune, and on CNN.

Patricia Pulliam Phillips, PhD is an internationally recognized author, consultant, and President and CEO of ROI Institute, Inc. Phillips provides consulting services to organizations worldwide. She helps organizations build capacity in the ROI Methodology by facilitating the ROI certification process and teaching the ROI Methodology through workshops and graduate level courses. She has been an author or editor of more than a hundred books and numerous journals.