beyond pricing decisions:
DESCRIPTION
PREPARED FOR: Open And User Innovation Workshop, Harvard. BUSINESS MODEL INNOVATION IN THE TWO SIDED MARKET OF AN OPEN INNOVATION INTERMEDIARY. Professor Dr. Frank Piller Dr. Dirk Lüttgens Andy Zynga. BEYOND PRICING DECISIONS:. 07.24.2014. WHY THIS TOPIC?. - PowerPoint PPT PresentationTRANSCRIPT
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BEYOND PRICING DECISIONS:
07.24.2014
PREPARED FOR: Open And User Innovation Workshop, Harvard
BUSINESS MODEL INNOVATION IN THE TWO SIDED MARKET OF AN OPEN INNOVATION INTERMEDIARY
Professor Dr. Frank PillerDr. Dirk LüttgensAndy Zynga
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WHY THIS TOPIC?
» The market for Intermediaries has become very competitive globally, forcing the established players to “reinvent” themselves
» Current literature on internal functioning of Intermediaries is light1, and Broadcast Search2 is looked at as a “black box”
» OI Intermediaries operate in two-sided markets3, and literature sees pricing as the primary variable for business model innovation4,5
» This essay is an opportunity to open the “black box” of Intermediaries and show how service quality is a MAJOR variable for success
1Howells, J., Intermediation and the role of intermediaries in innovation. Research Policy Journal, 35: 715-728, 20062Jeppesen, L.B., Lakhani, K.R., Marginality and problem solving effectiveness in broadcast search. Organization Science, 21:5, 1016-1033, 20103Holzmann, T., Sailera, K., Katzy, B.R., Matchmaking as multi-sided market for open innovation. Technology Analysis & Strategic Management, 26:6, 601-615, 20144Eisenmann, T., Parker, G., Van Alstyne, M.W., Strategies for two-sided markets. Harvard Business Review, 92-101, October 20065Kouris, I., Kleer, R., Business models in two-sided markets: an assessment of strategies for app platforms. International Conference on Mobile Business. Paper 22. http://aisel.aisnet.org/icmb2012/22. 2012
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THE RESEARCH QUESTION
How do business model changes impact the success of different market sides of
an open innovation intermediary that operates in
a two sided market?
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RESEARCH IMPLICATIONS
» Two Sided Market Success a function of Price AND service quality / process
» “Success” with Broadcast Search influenced by changes INSIDE the Intermediary – should not be seen as static!
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THE TWO SIDED MARKET OF AN OI INTERMEDIARY
Klassischer Transfer von Wissen aus der Grundlagenforschung
Transfer-Datenbank
Plattform fürOpen
Innovation
Ansatz des Open Innovation / Broadcast of Search
11 2 3Wissenschaftler Unternehmen
stellen Wissen ein
Suche nach Bestandteilen der Lösung
Broadcastingder Probleme
Broadcast of search
Motivation durch:
• Externe “Zwänge“
• Erwartungswert einer potentiellen Abfrage der Informationen durch ein Unternehmen
• Reputationserhöhung
Annahme über einen Lösungsweg:
• Zugriff nur auf bekannte Wissensbasis
• Unterliegt „local search bias“ bei Suche / Evaluation
• Motivation durch „Not Invented Here“ begrenzt
• Wissenschaftler screenen Probleme
• Reaktion nur wenn Lösung bekannt oder Lösungsweg “einfach“
• Übermittlung konkreter Lösungen
• Unternehmen übermitteln Fragestellung an Plattform
• Screening und Bewertung der Lösungen
• Belohnung des besten Beitragenden
33 2 1Wissenschaftler Unternehmen
Klassischer Transfer von Wissen aus der Grundlagenforschung
Transfer-Datenbank
Plattform fürOpen
Innovation
Ansatz des Open Innovation / Broadcast of Search
11 2 3Wissenschaftler Unternehmen
stellen Wissen ein
Suche nach Bestandteilen der Lösung
Broadcastingder Probleme
Broadcast of search
Motivation durch:
• Externe “Zwänge“
• Erwartungswert einer potentiellen Abfrage der Informationen durch ein Unternehmen
• Reputationserhöhung
Annahme über einen Lösungsweg:
• Zugriff nur auf bekannte Wissensbasis
• Unterliegt „local search bias“ bei Suche / Evaluation
• Motivation durch „Not Invented Here“ begrenzt
• Wissenschaftler screenen Probleme
• Reaktion nur wenn Lösung bekannt oder Lösungsweg “einfach“
• Übermittlung konkreter Lösungen
• Unternehmen übermitteln Fragestellung an Plattform
• Screening und Bewertung der Lösungen
• Belohnung des besten Beitragenden
33 2 1Wissenschaftler Unternehmen
Klassischer Transfer von Wissen aus der Grundlagenforschung
Transfer-Datenbank
Plattform fürOpen
Innovation
Ansatz des Open Innovation / Broadcast of Search
11 2 3Wissenschaftler Unternehmen
stellen Wissen ein
Suche nach Bestandteilen der Lösung
Broadcastingder Probleme
Broadcast of search
Motivation durch:
• Externe “Zwänge“
• Erwartungswert einer potentiellen Abfrage der Informationen durch ein Unternehmen
• Reputationserhöhung
Annahme über einen Lösungsweg:
• Zugriff nur auf bekannte Wissensbasis
• Unterliegt „local search bias“ bei Suche / Evaluation
• Motivation durch „Not Invented Here“ begrenzt
• Wissenschaftler screenen Probleme
• Reaktion nur wenn Lösung bekannt oder Lösungsweg “einfach“
• Übermittlung konkreter Lösungen
• Unternehmen übermitteln Fragestellung an Plattform
• Screening und Bewertung der Lösungen
• Belohnung des besten Beitragenden
33 2 1Wissenschaftler Unternehmen
Adapted from:Piller, F.T., From technology market places to problem places. Quebec Seeks Solutions. Quebec City, Canada, December 14, 2010
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NINESIGMA IN TWO-SIDED MARKET
Innovation
Seekers(Clients)
Global InnovationCommunity
NineSigmaOI
Proposal Proposal
Contract RFP
Transfer Agreement (IP)
$» Client contract fees
changed
» Project selection step introduced
» Solution Provider evaluation introduced
$
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EVOLUTION OF THE TECHNOLOGY SEARCH PROCESS AT NINESIGMA
2000 2005 2006-present
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DATA EXTRACTION & ANALYSIS OVERVIEW
Data Source How Used Specifics Results
Project Data (from database)
Extract deal rates for selected clients
Project Selection: 128 projects / 5years
SP Evaluation: 93 projects / 5 years
Correlation between service changes and deal rates
Staff Interviews Understand timing and extent of service changes
Management Team & Founder
Correlation between service changes and deal rates
Staff InterviewsDetermine which client examples to choose for review
Service Delivery VP Selected two major client cases
Internal Memos Follow decision making on business model changes 2001 – 2011 Established decision timing
NineSigma P&L Determine transaction fee revenues evolution 2009 – 2013 Understand timing of fee
decline
Client communication documents
Determine basis for business model change decisions
2001 – 2011Checked timing and impact of decisions on selected clients
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2009 2010 2011 2012 20130
20
40
60
80
100
120
140
160
Trans Fees # RFPs Overall Revenue
% o
f va
lue
wrt
20
09
TREND IN TRANSACTION FEE VOLUME VS OVERALL REVENUE
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INDICATIVE EFFECT OF PROJECT SELECTION STEP OF ONE CLIENT
2001 2002 2003 2004 2005 2006 2007 200805
101520253035404550
0
10
20
30
40
50
No of projects % deal closed
Num
ber o
f Pro
ject
s
% d
eals
clos
ed
Introduced project selection
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Increase in average number of proposals per search INTRODUCTION OF PROJECT SELECTION
2005 2006 2007 2008 20090
5
10
15
20
25
Ave
rag
e N
um
be
r o
f Pro
po
sals
R
ece
ive
d
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SOLUTION PROVIDER EVALUATION SUPPORT PROCESS
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EFFECT OF SOLUTION PROVIDER EVALUATION STEP ON PROJECT SUCCESS AS ONE CLIENT
2005 2006 2007 2009 20110
5
10
15
20
25
30
35
Deals
Clo
sed
(%
)
Introduced evaluation support
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BUSINESS MODEL CHANGES & IMPACT ON ALL SIDES
Business Model Change Impact on Seeker SideImpact on Solution
Provider Side Impact on NineSigma
Elimination of Transaction Fee
• Easier budgeting of projects due to fixed price
• More new clients
• More interest in submitting due to higher possible asking prices (no additional fees)
• More Solution Providers due to more clients
• Better cash flow due to higher fees early on
• Higher overall fees per RFP
• More revenue overall due to more clients
Introduction of Project Selection
• Fewer projects overall, but more fully funded RFPs
• Higher close rates increase interest in submitting, and more Solution Providers will sign up
• Better credibility with clients leads to higher client satisfaction and repeat clients
Introduction of Solution Provider Evaluation Support
• Faster process leads to higher client satisfaction/repeat clients
• NineSigma value addition more visible
• Faster process leads to higher satisfaction
• More touch points with NineSigma, better understanding of value, better reputation, more Solution Providers signing up
• More deals closed, more repeat clients, more revenues
• Higher fees per RFP, more revenue
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RESULTS HIGHLIGHTS
RESULT IMPACT
• Fee (price) changes on Seeker side. Has impact on Solution Providers & OI Intermediary
• Confirms existing literature – pricing = major variable of business model changes
• Service/Process changes impact all sides
• Service quality = MAJOR additional variable to be considered in two-sided markets
• Service/Process changes influence Broadcast Search success
• Studies on Broadcast Search success need to consider changes INTERNAL to OI Intermediary for comparison of results
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LEARNINGS
» Service/Process changes are relevant to both research on two-sided markets as well as success with Broadcast Search.
» OI Intermediaries are not static, due to pressures both external AND internal they tend to evolve, and with them the entire business model.
» Findings may not be representative for other OI Intermediaries, especially for those who do not practice Broadcast Search.
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KEY REFERENCES
» Boudreau, K. J., Lakhani K. R., How to manage outside innovation. MIT Sloan Management Review, 50: 69-76, 2009
» Chesbrough, H.W. A better way to innovate. Harvard Business Review, July 2003
» Chesbrough, H.W., Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business School Press, 2003
» Eisenmann, T., Parker, G., Van Alstyne, M.W., Strategies for two-sided markets. Harvard Business Review, 92-101, October 2006
» Jeppesen, L.B., Lakhani, K.R., Marginality and problem solving effectiveness in broadcast search. Organization Science, 21:5, 1016-1033, 2010