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J.E. Cairnes School of Business and Economics
Running while Standing Still:
Rethinking ICT Business Model
Decisions for the New Cloud Economy
29th Bled eConference, June 20th 2016:
Dr. Trevor Clohessy, Dr. Thomas Acton and Dr. Lorraine Morgan
Information Systems Departments,
National University of Ireland Galway and Maynooth, Ireland
Presentation Agenda
Trevor Clohessy
J.E. Cairnes School of Business and Economics
• Research Motivation
• Research Approach
• Research Findings
• Implications for Research
• Implications for Practice
Research Motivation
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Business Model
Academic and Practitioner
Interest
$217 billion ICT adoption
revenue by 2017
(Gartner, 2013)
New and Innovative
Business Models
Weindardt et al., 2009; Leimeister et al.,
2010; Brynjolfsson et al., 2010.
Special Journal Issues, Interest Groups,
Conference Tracks, Workshops, Investments.
Research Gap –
IT Cloud Supply-Side
BM Perspective
Armbrust et al., 2009; Marston et al., 2011;
Morgan and Conboy 2013; Dammsgard et al.,
2014.
Research Motivation
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Cloud Computing
Mediating Device
Early Stage
Digital Technologies
Cloud Maturity –
Ripe for IS Business
Model Research
Christensen, 1997; Chesbrough and
Rosenbloom, 2002; Melville et al., 2004.
Dubosson-Torbay et al., 2002; Teece, 2009;
Zott et al., 2011.
Academic and
Practitioner Interest
Marston et al., 2011; Iyer and Henderson,
2012; Wilcocks et al., 2013.
Digital Dexterity Challenges:
Running while Standing Still?
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Research Process
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Research Framework: Morris et al., (2005)
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Research Approach:
Trevor Clohessy
J.E. Cairnes School of Business and Economics
• “Alpha” are an established large multi-national business model mature ICT service
provider who has been at the forefront of the advancement and provision of cloud
computing technologies for the past five years
• Case study research approach
• Semi-structured Interviews with senior managers
• Data collection took place between January 2015 and August 2015
• Supplementary evidence in the form of archival documents and published materials
sourced from the ICT providers’ websites (e.g. white papers, specific case studies,
brochures, reports) was also analysed
Large Business Model Mature IT Service Providers
Trevor Clohessy
J.E. Cairnes School of Business and Economics
The Past
The Future
Research Findings:
Business Model Transformation
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Research Findings:
Business Model Decision Making Evolution
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Research Findings:
Business Model Decision Making Evolution
Trevor Clohessy
J.E. Cairnes School of Business and Economics
Contributions to Research
Trevor Clohessy
J.E. Cairnes School of Business and Economics
1. Cloud computing concept
2. Business model concept
3. Research approach (e.g. empirical settings, networking, interviewees, case
study access)  Anchoring the study in extant theoretical perspectives in
order to generate an intellectual account which facilitated the elucidation of
the research objective.
4. New business model decision making perspective can be used to assess the
impact of emerging IS/ICTs (3D printing, augmented and virtual reality etc.)
across industries.
Research Gap  Study’s Findings  Knowledge
Contributions to Practice
Trevor Clohessy
J.E. Cairnes School of Business and Economics
1. Demystify the transformative capability of cloud computing on business
models from a IT supply-side perspective -> open, customer led innovation
practices.
2. Demystify the benefits and inhibitors from a IT supply-side perspective as
a result of operationalising cloud-enabled business models.
3. Empirical evidence of how a successful large ICT providers’ business
models decision making process has transformed and evolved over time
(e.g. five years post-provision) as a result of cloud computing technology.
You are welcome to Galway anytime
Trevor Clohessy
J.E. Cairnes School of Business and Economics

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Rethinking ICT Business Model Decisions for the New Cloud Economy

  • 1. J.E. Cairnes School of Business and Economics Running while Standing Still: Rethinking ICT Business Model Decisions for the New Cloud Economy 29th Bled eConference, June 20th 2016: Dr. Trevor Clohessy, Dr. Thomas Acton and Dr. Lorraine Morgan Information Systems Departments, National University of Ireland Galway and Maynooth, Ireland
  • 2. Presentation Agenda Trevor Clohessy J.E. Cairnes School of Business and Economics • Research Motivation • Research Approach • Research Findings • Implications for Research • Implications for Practice
  • 3. Research Motivation Trevor Clohessy J.E. Cairnes School of Business and Economics Business Model Academic and Practitioner Interest $217 billion ICT adoption revenue by 2017 (Gartner, 2013) New and Innovative Business Models Weindardt et al., 2009; Leimeister et al., 2010; Brynjolfsson et al., 2010. Special Journal Issues, Interest Groups, Conference Tracks, Workshops, Investments. Research Gap – IT Cloud Supply-Side BM Perspective Armbrust et al., 2009; Marston et al., 2011; Morgan and Conboy 2013; Dammsgard et al., 2014.
  • 4. Research Motivation Trevor Clohessy J.E. Cairnes School of Business and Economics Cloud Computing Mediating Device Early Stage Digital Technologies Cloud Maturity – Ripe for IS Business Model Research Christensen, 1997; Chesbrough and Rosenbloom, 2002; Melville et al., 2004. Dubosson-Torbay et al., 2002; Teece, 2009; Zott et al., 2011. Academic and Practitioner Interest Marston et al., 2011; Iyer and Henderson, 2012; Wilcocks et al., 2013.
  • 5. Digital Dexterity Challenges: Running while Standing Still? Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 6. Research Process Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 7. Research Framework: Morris et al., (2005) Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 8. Research Approach: Trevor Clohessy J.E. Cairnes School of Business and Economics • “Alpha” are an established large multi-national business model mature ICT service provider who has been at the forefront of the advancement and provision of cloud computing technologies for the past five years • Case study research approach • Semi-structured Interviews with senior managers • Data collection took place between January 2015 and August 2015 • Supplementary evidence in the form of archival documents and published materials sourced from the ICT providers’ websites (e.g. white papers, specific case studies, brochures, reports) was also analysed
  • 9. Large Business Model Mature IT Service Providers Trevor Clohessy J.E. Cairnes School of Business and Economics The Past The Future
  • 10. Research Findings: Business Model Transformation Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 11. Research Findings: Business Model Decision Making Evolution Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 12. Research Findings: Business Model Decision Making Evolution Trevor Clohessy J.E. Cairnes School of Business and Economics
  • 13. Contributions to Research Trevor Clohessy J.E. Cairnes School of Business and Economics 1. Cloud computing concept 2. Business model concept 3. Research approach (e.g. empirical settings, networking, interviewees, case study access)  Anchoring the study in extant theoretical perspectives in order to generate an intellectual account which facilitated the elucidation of the research objective. 4. New business model decision making perspective can be used to assess the impact of emerging IS/ICTs (3D printing, augmented and virtual reality etc.) across industries. Research Gap  Study’s Findings  Knowledge
  • 14. Contributions to Practice Trevor Clohessy J.E. Cairnes School of Business and Economics 1. Demystify the transformative capability of cloud computing on business models from a IT supply-side perspective -> open, customer led innovation practices. 2. Demystify the benefits and inhibitors from a IT supply-side perspective as a result of operationalising cloud-enabled business models. 3. Empirical evidence of how a successful large ICT providers’ business models decision making process has transformed and evolved over time (e.g. five years post-provision) as a result of cloud computing technology.
  • 15. You are welcome to Galway anytime Trevor Clohessy J.E. Cairnes School of Business and Economics

Hinweis der Redaktion

  1. Special issue (business payoffs, transformation, innovation), Tracks, workshops, special interest groups.
  2. Multifaceted and polymorphous concept. Knowledge gap originates from my own review of the literature, calls for further research and from a practitioner perspectives giving lacklustre performances. Cloud is inherently complex and encompasses nuanced intricacies which mean we have not reached a level of research saturation where all aspects of cloud have been researched. A lot of the cloud computing stakeholder ecosystems is held up by an oligarich of main stakeholders. Dominoe effect if one was to fall, all might fall. A lack of in-depth case study research
  3. The song's title phrase originated from Bono asking his brother how his struggling business was going, and the brother responding, "It's like running to stand still."
  4. The song's title phrase originated from Bono asking his brother how his struggling business was going, and the brother responding, "It's like running to stand still."
  5. 1. Bounded the cloud computing concept, identfied a research gap and the study has compared the findings which 2. (1) The study coalesced and critically analysed the extant business model literature (2) transformative impact of a new diital technology and (3) demonstrate the usefulness of the business models as an analytical lens and (4) and the synergy between IS and business model research -> springboard for furture research . (5) answers recent IS research calls to how digital technologies can transform business models 4. One of the weaknesses is how the characteristics of the technology impacts the coping mechanism. Also lays out foundation for future research.