the digital transformation - challenges and opportunities for is researchers - 12th contecsi
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Technische Universität München
© Prof. Dr. H. Krcmar
The Digital Transformation -Challenges and Opportunities
for IS researchers
Prof. Dr. Helmut KrcmarAIS President 2014-2015
Chair for Information Systems – www.winfobase.deVice Dean Informatics – www.in.tum.de
Academic Director EMBA Business and IT – tum.eec.deTU München – www.tum.edu
Institute for Public Information Management (IPIMA) – www.ipima.defortiss gGmbH, München - www.fortiss.org
Co-Founder Initiative Digital Transformation – idt.in.tum.de
Technische Universität München
3 © Prof. Dr. H. Krcmar
founded in 1994 4,128 members in 100+ countries and 36 chapters (Summer 2014)
• 1751 in Region 1 Americas• 1218 in Region 2 Europe• 1169 in Region 3 Pacific Asia
Countries with more than 100 members:• USA• China• Germany• Australia• Canada• South Korea
• www.aisnet.org
AIS serves society through
the advancement of knowledge and
the promotion of excellence in the practice and study of information systems.
Technische Universität München
4 © Prof. Dr. H. Krcmar
AIS conducts a wide range of activities• Research
– Conferences: ICIS AMCIS PACIS MWAIS SAIS– Journals: JAIS CAIS JITTA THCI TRR and more in the eLibrary– Special Interest Groups: 36 different topics – Research Conduct Committee: Research code of conduct
• Professional development– Early career: PhD Consortium, Jr. Faculty Consortium– Mid Career Workshop: “Tenure? Now what?”– Late Career: AMCIS 2014 – Panel on late career and retirement issues– Career spanning: Webinars and Colleges
• Advocacy– AIS as the Business “STEM” Discipline– AIS and Accreditation– Awareness in Industry: Global Sponsors, “AIS Bright ICT Initiative”
Technische Universität München
5 © Prof. Dr. H. Krcmar
What to expect from the AIS now that its 21?
• Continous Improvement from members for members
• Teaching and Undergraduate engagement– Education committee aims for a teaching materials repository– 74+ student chapters in all AIS regions with 200+ conference participants
• “Youth” movement: about 1/4 of AIS members are doctoral students– Support Activities at conferences
• Colleges to support issues that cut across– IS Women’s Network, Senior Scholars, Academic Leadership
• Member Recognition by Awards– Doctoral Student Service, Early Career, Continuing Contribution to AIS
As ,,ambassador of the possible” please get involved
Technische Universität München
8 © Prof. Dr. H. Krcmar
What now?
Picture: jokatoons, Ostrich No Solution, fotolia.com
How will you act as a leader if „industry 4.0“ meets „smart service world“?
Either... remain in the board room or ivory tower?
Or get to the technical details by yourself again?
Or demand that government policies guards your business against digital
competition?
Or let someone collect enough data, you never know if Big Data might make
it some day ?
Technische Universität München
10 © Prof. Dr. H. Krcmar
Digital Transformation Explanatory Model Leadership Behavior
Technische Universität München
11 © Prof. Dr. H. Krcmar
Trends – my selection
• Demographic change
• Urbanisation
• Serviceation
• Predictability
IT-Trends selection aka SMAC Social Media Mobility & Consumerization Analytics / Big Data Cloud Computing Cyber-Physical Service Systems (CPSS) Platform-based ecosystems
INTER-ACTIONProduction Customer’s
value creation
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
Technische Universität München
12 © Prof. Dr. H. Krcmar
Inevitable
Digital transformation Explanatory model Leadership behavior
Technische Universität München
13 © Prof. Dr. H. Krcmar
The innovator´s dilemma
• New techniques or business models get (at the beginning) poorer results (measured by traditional criteria), but are usually less expensive (at least later) and easier.
• Ignoring a disruptive techniques for a long time can lead to an insurmountable resistance to change within the company.
• Openness to disruptive technologies needs to be the goal of every company's culture of innovation.
Technische Universität München
14 © Prof. Dr. H. Krcmar
Disruptive innovations often add up over time
Efficient and personalized communication incl. personal
meetings
Technische Universität München
15 © Prof. Dr. H. Krcmar
Disruption, not immediate destruction enables innovation and efficiency
time
perfo
rman
ce 100%
t1 t2
30%
70%
New 100%
more&
different
„Don´t confuse slow and declining with not needed,
unnecessary, not being reinvented“.
Ginni Rometty,14-05-2014 FT
Technische Universität München
16 © Prof. Dr. H. Krcmar
Internet-milieus in selected population groups Germany
Source: DIVSI 2013b
Technische Universität München
17 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Digital transformation Explanatory model Leadership behavior
Technische Universität München
18 © Prof. Dr. H. KrcmarPhoto: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Papal election 2005
Photo: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Technische Universität München
19 © Prof. Dr. H. KrcmarPhoto: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Papal election 2013
Photo: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Technische Universität München
20 © Prof. Dr. H. KrcmarPhoto: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Papal election 2005
Photo: AP/DPA - Source: Der Spiegel: Digitale Erleuchtung 2013
Technische Universität München
21 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Digital transformation Explanatory model Leadership behavior
Technische Universität München
22 © Prof. Dr. H. Krcmar
2005: On whom would you lay your bets on?
Founded in 2003(Tom Anderson)
Founded in 2004(Zuckerberg et al.)
Founded in 2005(Dariani/Behmann)
Technische Universität München
23 © Prof. Dr. H. Krcmar
2005: On whom would you lay bets on?
Source: statista.de
Technische Universität München
24 © Prof. Dr. H. Krcmar
2005: On whom would you lay your bets on?2014: It‘s obvious2023: ?
Source: statista.de
Technische Universität München
25 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation Explanatory model Leadership behavior
Technische Universität München
26 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation
Service Dominant Logic
Explanatory model Leadership behavior
Technische Universität München
27 © Prof. Dr. H. Krcmar
Production and value creation
INTER-ACTIONProduction Customer’s
value creation
”Value Facilitation”(Grönroos, 2008)
Production perspective
Added value perspective
“Joint production process: the Customerparticipates as co-producer of resources
and processes with the provider”(Eiglier & Langeard, 1975; Grönroos, 1978)
“Joint value creation process: the Provider participates as co-creator of value (value-
in-use) with the customer”(Grönroos, 2008; Grönroos & Ravald, 2011)
Grönroos (2011)
Technische Universität München
28 © Prof. Dr. H. Krcmar
Disruption by Xaas: Release of existing industrial silos by service ecosystems
• Smart Service World: From business-centric processes through to event-centered process assistance
• Industry 4.0: From office-centered processes (coordinated centrally) through to workpiece-centered production (self-organized)
Sour
ce: S
mar
t Ser
vice
Wel
t, 20
14, S
. 18
Technische Universität München
29 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation
Service dominant logic
Ambidexterity
Explanatory model Leadership behavior
30
Innovation process: Exploitation and exploration
Exploitation
Utilization of existing potential in order to ensure efficient operations.
Refinement, optimization, selection, implementation and execution
Exploration
Generating alternative potentials to be able to react more flexibly to changing environmental requirements
Search, variation, risk recording, experimentation, play, flexibility, discovery and research
March 1991
“It was the best of times, it was the worst of times, ...” Dickens, C. 1859
Technische Universität München
31 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation
Service dominant logic
Ambidexterity
Open innovation on platforms
Explanatory model Leadership behavior
Technische Universität München
32 © Prof. Dr. H. Krcmar
Open innovation from the perspective of platform
Open innovation(Gassmann/Enkel, 2004)
• Inside-out• Outside-in• Coupled-Process
Fit to Service Ecosystems(Gassmann 2006)
• Reuse
• Knowledge exploitation• New business models
Technische Universität München
33 © Prof. Dr. H. Krcmar
„My individual service is my commodity”„My individual service will be assembled through your commodity“
Consumer
Linkage layer
Producer
Effective use of platform for companies(Efficiency, innovation, strategy, survival, ...)
Efficient advice on the use of and development on the platform(Supplier, composition, safety, ...)
Long-term development and maintenance of reliable, large application environments and platforms(Cost-efficient production and delivery, ...)
34
Success of platforms: Governance as part of the operating model of the technical platform
Legal factors Technicalfactors
socio-economicfactors
Competitive factors
Stakeholder behavior
Platform provider
Platform
Third-party supplier
Consumer
PlatformPlatform
Platform
Technische Universität München
35 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation
Service dominant logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory model Leadership behavior
Technische Universität München
36 © Prof. Dr. H. Krcmar
1 1
• Management flexibilities: also allows a partial realization of projects
• Options entitle to, but not obligate to buy or sell a specified asset for a payment of an agreed price
Hull (2009)
Picture: www.strategispartners.com.au/real-options-for-tomorrows-growth/
• Expected cash flows are interest-bearing with the market rate at the time of investment
• Usually assumes one single future scenario
From DCF (Discounted Cash flow) … to real options
Technische Universität München
37 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital transformation
Service dominant logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory model Leadership behavior
Technische Universität München
38 © Prof. Dr. H. Krcmar
Shift of the innovation limit
80s
Today
Competition uber industrial structuresCompetition via business modelsIT enables the use of Ubiquitous
ComputingProduct- und process innovations
process efficiencyStrategic Information Systems
Any use of IT
Smart Service WorldCyber Physical Service SystemsIT/IS ecosystemsIS as platformIT ecosystemsProprietary ISProprietary IT
Technische Universität München
39 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
Act „Value in use“
Live Exploit & Explore
Speed-on&Stability-inthe platforms
Explore options
Leadership Behavior
Technische Universität München
40 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
Act „Value in use“
Live Exploit & Explore
Speed-on&Stability-inthe platforms
Explore options
Leadership Behavior
Towards a culture of (digital) transformation: people and technologies matter!
Technische Universität München
41 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
Act „Value in use“
Live Exploit & Explore
Speed-on&Stability-inthe platforms
Explore options
Leadership Behavior
Towards a culture of (digital) transformation: people and technologies and law matter
Privacy
CyberSecurity
Trust
Principles
Requirements until now
Technische Universität München
42 © Prof. Dr. H. Krcmar
Disruptive platform-based innovation
• Co-evolution in the entire-supply-ecosystem of single suppliers, solution developers and operators in the service ecosystem (in multilateral governance structure)
• Co-evolution in the supply-demand-ratio of single suppliers, solution developers, operators and users throughout the ecosystem service (for multilateral governance structure)
• Concept-context changes via (Re-)regulation
Technische Universität München
43 © Prof. Dr. H. Krcmar
„new digital life“
“In face-to-face encounters, our interactions are "private by default, public through effort."
With mediated technologies, the defaults are inverted. Interactions are
"public by default, private through effort.“
danah boyd 2011. in (co://llaboratory,Gleichgewicht und Spannung zwischen digitaler Privatheit und Öffentlichkeit, 2011, p. 113)
Technische Universität München
44 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
Act „Value in use“
Live Exploit & Explore
Speed-on&Stability-inthe platforms
Explore options
Leadership Behavior
Towards a culture of (digital) transformation: people and society, technologies and law matter
Privacy and individualized services
CyberSecurity and convenience
Trust by regulation and markets
Principles and discourse
Requirements today
Technische Universität München
45 © Prof. Dr. H. Krcmar
And now ? - a managerial view
• Design smart services• on platforms existing and new• in co-innovation with customers, suppliers, and competitors• in agile steps• by starting today
Technische Universität München
46 © Prof. Dr. H. Krcmar
And now ? - a managerial view
“Any technology company not focused on speed will be disrupted from its position. Wal-Mart as a technology company and innovator will be a tale told on speed.” (Karenann Terrell, CIO Wal-Mart, 2015-May-6)
• Design smart services• on platforms existing and new• in co-innovation with customers, suppliers, and competitors• in agile steps• by starting today
Technische Universität München
47 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model Research Challenges
Technische Universität München
48 © Prof. Dr. H. Krcmar
Some starting considerations• You can count innovations only after they are conceived
– and the often come in Singularity• Reality poses problems
– for those that see them– it does no pose methods– IS/IT might be one of the solutions
• Researchers research– We all have our likes and skills
• IT/IS is an artifact– which needs to be built and designed, and well to work
based on Briggs, R.; Krcmar, H.: The Simple Elegance of Scientific Inquiry in a Technical Field. Workshop held at HICSS 2012
Technische Universität München
49 © Prof. Dr. H. Krcmar
The context of IS research has changed
• The IT/IS-artefact is different today than just ten years ago– the first iPhone was released on June 29, 2007
• People, organizations, and society use IT/IS-artefacts as embedded tools and do not even call it “computing” anymore– ubiquitous computing, ambient computing
• The users of today are consumers and organizational IS-users alike- Any restrictiveness of user interfaces is easilyrecognized
• The companies of today are engulfed in their digital transformation– AND THE DIGITAL CHALLENGERS ARE EVERYWHERE
Our knowledge is context based
Technische Universität München
50 © Prof. Dr. H. Krcmar
New contexts – new topics – more interdisciplinarity while„focussing“ on the individual, the organization, and society
Leimeister et al 2014 (DOI: 10.1007/s12525-014-0174-6)
Technische Universität München
51 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
People first, but holistically
Research Challenges
Technische Universität München
52 © Prof. Dr. H. Krcmar
Outsourcing through the times –From “Buyer-Beware” to “Expertise-Aware”
• What if the assumptions that informed outsourcing researchover the past decades do not hold (anymore)?
• Today we know – In mature outsourcing markets client capabilities rather than vendor
capabilities are the primary drivers of BPO performance– Vendor offerings converge, which requires that clients are flexible and adapt
themselves to the service offerings• That means
– These Results challenge the assumptions that informed the early outsourcing research (‘buyer-beware’ framing)
• Which other IS-(Management) knowledge is similarly situated?
Technische Universität München
53 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
People first, but holistically
revisit&reframe
Research Challenges
Technische Universität München
54 © Prof. Dr. H. Krcmar
What is Design Research?
• Design Research tries to develop Artifacts that fulfill a certainpurpose
• „devising artifacts to attain goals“ (Simon, 1969)
• Design Research can be defined as identifying a unique orinnovative solution for a previously unsolved problem
• Revolutionary• Evolutionary• Not intuitive (Briggs, 2006)
Natural andBehavioral Science
Design Science
artificialobjects andphenomena
observe create
Technische Universität München
55 © Prof. Dr. H. Krcmar
What are possible results of Design Science Research?
Theory Theory(Cause-Effect-Relationships)
Terminology Terminology(Concepts, language)
Technology(Goal-Means-Relationship) Models Methods Systems
Design Theories and Principles(Goal-Means-Relationship)
Technische Universität München
56 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
People first, but holistically
revisit&reframe
Design Principles
Research Challenges
Technische Universität München
57 © Prof. Dr. H. Krcmar
Singularity of each Digital Transformation Process
• Singular, context-rich, dynamically complex and situated– Sometimes all different and revolutionary, sometimes all similar and
evolutionary• Implementation dominates DT effects
– contexts might be too diverse for contingency based approaches
• Researchers might need– to act as ethnograpers to explore the details of the technical and
organizational implementation– to perform documentation to start multicase surveys for EBM – to design different technological solutions for different organizations
Technische Universität München
58 © Prof. Dr. H. Krcmar
Inevitable
Irreversible
Tremendously fast
Uncertain in the execution
Digital Transformation
Service Dominant Logic
Ambidexterity
Open innovation on platforms
Real Options in the portfolio
Explanatory Model
People first, but holistically
revisit&reframe
Design Principles
Individual dynamics of transformation
processes
Research Challenges
Technische Universität München
59 © Prof. Dr. H. Krcmar
Now, what could be the impact of DT research
Technische Universität München
60 © Prof. Dr. H. Krcmar
Now, what could be the impact of DT research
• More papers
Technische Universität München
© Prof. Dr. H. Krcmar61
Why do we want to do research?
The holy grail
Practically useful Scientifically useful
Relevatory
Incremental
Originality
Utilityadapted from Corley, K. G., & Gioia, D. A. (2011). Building Theory About Theory Building: What Constitutes A Theoretical Contribution? Academy of Management Review, 36(1), 12-32.
Technische Universität München
© Prof. Dr. H. Krcmar62
Why do we want to do research?
The holy grail
Practically useful Scientifically useful
Relevatory
Incremental
Originality
Utilityadapted from Corley, K. G., & Gioia, D. A. (2011). Building Theory About Theory Building: What Constitutes A Theoretical Contribution? Academy of Management Review, 36(1), 12-32.
Technische Universität München
© Prof. Dr. H. Krcmar63
Why do we want to do research?
The holy grail
Practically useful Scientifically useful
Relevatory
Incremental
Originality
Utility
adapted from Corley, K. G., & Gioia, D. A. (2011). Building Theory About Theory Building: WhatConstitutes A Theoretical Contribution? Academy of Management Review, 36(1), 12-32.
Technische Universität München
64 © Prof. Dr. H. Krcmar
Now, what could be the impact of DT research
• More papers• More citations• Change in the perception of actors (in academia and
practice, suppliers and customers, …)• New product features, implementation processes, …• New suppliers (Startups, Spinoffs, Business units, …) • …
Technische Universität München
65 © Prof. Dr. H. Krcmar
How to go about research in DT• Technology oriented:
– design theory based research (DSR)
• Organizationally oriented: – exploratory and confirmatory (work centered) research with
a longitudinal orientation
• Societally oriented: – „culture changes“ from digital ignorants to digital natives,
from departmental orientation towards process orientation, – new generations and paradigms come into play, yet it takes
a while to get a hold of those shifts
Technische Universität München
66 © Prof. Dr. H. Krcmar
UnexplainedEffects
Avenues of Enquiry
ExploratoryResearch
ExperimentalResearch
AppliedResearch /Engineering
TheoreticalResearch
TreatmentsControls
Design Guidelines
All Modes of Scientific Inquiryfor rigor AND relevance
From: Briggs, R.O., Schwabe, G. (2011) On Expanding the Scope of Design Science Research. In H. Jain, A.P. Sinha, and P. Vitharana (Eds.): Proceedings of Design Science Research in Information Systems and Technologies: DESRIST 2011, LNCS 6629, pp. 92–106, 2011.
Technische Universität München
67 © Prof. Dr. H. Krcmar
Some Implications
• Collobaration in and with the „theatre of action“ – „in and out of the ivory tower“ with shared data sets
• With many cycles and on many levels over extended time– „concatenated exploration“ (Stebbins, 2001,p.12)
• with different skills needed for each mode of scientific inquiry– Methodological plurality and tolerance
• and different pitfalls to avoid for each mode of scientific inquiry– Often spanning different academic communities
• In research programmes with an overarching question– „How to make Digital Transformation work“
A non-trivial balancing act over time as research programmes are reality-driven, projectsare funding-driven, publications are outlet driven for each Knowledge nugget
based on individual researcher´s perspectives and motivation instead of just followinggenerally prescribed research as as craft prescriptions
Technische Universität München
68 © Prof. Dr. H. Krcmar
“Everything can look like a failure in the middle.
Every new idea runs into trouble before it reaches fruition, and the possibilities for trouble increase with the number
of ways the venture differs from current approaches.”
(Kanter 2001, S. 274).
Ambassadors of the Possible
enjoy, research, and engage!
Prof. Dr. Helmut Krcmar, Dean, TU München, Director SAP UCC Munich November 11, 2011
SAP University Competence Centers Educational Service Providers
TUM. The Entrepreneurial University.
“Talents are our assets, reputation is our return“
IDT Initiative for Digital Transformation
An initiativeto analyze, understand and support the design of
leadership, innovation, and motivationin the Digital Transformation
Co-FoundersGert Oswald, SAP
Helmut Krcmar, TUM & fortiss