Theoretical Framework - IT Management
This section is intended to describe the IT Management briefly in the context of the EA field,
the historical perspective, and timeframe. The responsibility of IT Management is multifaceted,
where quite a few transformational assignments are delegated since IT Management to a
certain degree is considered as transformational in itself. The Enterprise Architect is commonly
employed by the IT (department) domain, and by then, a member of this group.
IT Management is regularly considered as the coordinating management of the business and
IT development. IT Management is intended to cope with both the present and the future to
come. IT Management is often comprehended as dealing with complexity (Magoulas & Pessi,
1998). For some, the challenge comprises the complexity in the IT domain by the increased
number of concurrent systems utilized by the organization (Hausman, 2011). For others,
complexity in the business domain, such as globalization, is the main challenge (Baines &
Ursah, 2009). For some, IT Management is mainly to monitor and to be in control (Lazic,
2013) of the supportive function within the organization with a primary focus to lower the IT
related costs (Buchta et al., 2007) by issuing strategic maxims (Broadbent & Weill, 1997). For
others, the IT Management is considered as a driver for a future business to come (Ciborra,
2001). IT Management is expected to be a shared responsibility among the business and IT
leaders (Boynton et al., 1992). The borderline between local autonomy and centralized
ownership of data is always on the agenda to be discussed while the considerations about the
benefits and the costs are to be evaluated (Barton, 2003). The modern IT Management has
two major assignments: a) Take care of the IT operation in an aim for sustainable efficiency
and cost; and b) to assist the organization in strategic initiatives, involving guidance for
utilization of affordable technology and technology as a driver for organizational and business
development (Pessi, 2009).
After this brief orientation of the IT Management in general, the next subsection will position
the Information Technology and its management.
Management and IT - The Information Technology evolution
The IT is a relatively new to the business domain, considering a pronounced penetration of the
typical organization. New challenges in both social patterns and technology development have
forced organizations to update the organizational knowledge base. In the emerging light of
IS/IT impacting the society, business, and individuals, the function of EA has become more
crucial than in the past, where the Enterprise Architect has a dominating position in
coordinating this organizational knowledge in an evolutionary tradition and not least, the
consideration of how this knowledge could best serve the organization. The architect’s work
field is discovered to be frequently related to design patterns and interoperability.
The evolution of the computerized information technology has its roots in the 1960 decade
where the mainframe computing were introduced to organizations of scale (Panigrahy, 2010).
The organizational structure had that far been dominated by machine bureaucracy (Mintzberg,
1979). For the period to come from 1960 and on, the IT evolution could be distinguished
divided into three main eras: The Data Processing era from year 1960 to mid of 1980; the IT
or micro era from year 1980 to mid-1990; and the Network or Unified era from mid-1990 and
on (Austin et al., 2009). Other authors assign the big data era (Wang et al., 2015) to the
contemporary evolution of management of IT, anticipating a radical change in management
thinking (Nie, 2014).
Figure 1 is intended to depicture the effects of Information Technology on the organization
during the era of Data Processing, IT, Network, and Big data.
Information Technology impact on the organization in an evolutionary perspective
The information technology entrance in the business has evolved for about 50 years. The initial
step was faltering, and for 20 years, the impact on the organization was peripheral. If an
organization had computerized capacity, this force was dedicated a delimited number of users.
Since thirty years, the number of users has increased drastically, entering the IT era, where
the penetration of the technology had become significant. The impact of Information
Technology on stakeholder groups such as the senior management, the managers, and users
within the IT domain is expecting to evolve (Aerts et al., 2003) through the eras, where this
impact could be considered as core technology in most business entering the network era
(Mutsaers et al., 1998).
Table 1. Information Technology’s impact on stakeholder domains.
The ingress of the architecture in the field of IS/IT
The request to structure the IS/IT business was emerging in early 1980. Concurrently, the
emerging outlook to identify Information Technology as an enabler started to grow. While the
market structure was under reconstruction, splitting large units into divisions and business
units, the appearance of the business process re-engineering was established (Aerts et al.,
2003). The architecture in itself had been prevalent for a long time, although named
differently (Perks & Beveridge, 2004). J.A Zachman published in 1987 a pioneered
concept as the first release of the Enterprise Architecture in a journal (Zachman,
1987). Zachman’s vision was a holistic approach that should gain the ability for the
IS/IT and to support investment aims in increased value for the business due to better
business performance (Sessions, 2007).
The business and managerial impact on Information Technology in evolution and
interaction
A business is built upon two important cornerstones: strategic identity and behavior (Enquist
et al., 2001) and could be described as a place where humans and technology in cooperation,
virtually or physically, will fulfill a particular goal (Burnes, 2009). To obtain this objective,
humans and technology are delegated tasks (Enquist et al., 2001). To coordinate these tasks,
a group of people is organized in teams to supervise actions taken to obtain the business’s
goal. Organizational management is primarily presumed to act stabilizing on the primary
target to maintain equilibrium for the organization, contrasting leadership with a certain
degree of destabilizing effort to obtain a business change (Burnes, 2009). The stable
organization has a substantial degree of transactional leadership, contrasting the rapidly
evolving business, which has the transformational leadership (Bass & Riggio, 2006). For the
IS/IT business, transformational management and leadership are essential (Cho et al., 2011),
likewise for the R&D innovation teams (Eisenbeiß & Boerner, 2010). In addition, the top
management style of leadership will affect and foster the organization in general in an
entrepreneurial manner (Chen et al., 2014) utilizing accurate communication channels in
strategic communication (Men, 2014). Miller’s (1993) research observes the successful
business to be stabilized through simplicity, neglecting to explore new knowledge, which over
time will revoke the business. In this light, the business identity and the managerial style will
request for a suitable mix of transformational and transactional leadership (Hambley et al.,
2007), obeying organizational learning (Argyris, 1977) and collaboration (Bhalla, 2011) in an
effort for new inventions and innovation (Roberts, 2007), and in particularly architectural
innovations (Henderson & Clark, 1990).
Table 2. Business & managerial impact on Information Technology.
In summary of this subsection, the impact of Information Technology has increased during the
last decades, which in addition have forced the business domain and IT domain, involving the
senior management of the business, to evaluate and behave differently. Subsequently, the
business has a certain impact on the Information Technology, requesting for new technology.
This new technology will in turn affect the IT Management, which the next subsection
describes.
1..
IT Management in an outlook
The future IT Management is expected to deal with several areas where the Enterprise
Architect is anticipated to participate. Thus, the variety of the architect’s knowledgebase is
considered as multi-disciplinary, complex, and challenging. Nevertheless, there is a certain
need for design pattern and interoperability requested mainly from the IS/IT infrastructure,
the challenges in human interactions should not be disregarded.
Some authors assess the IT domain as being assimilated by the organization itself within a
close future where no clear borderline, separating the business from the IT domain, is
anticipated in the future organization (Steiber, 2014). One challenge for the future
organization is to coordinate the business domain and IT domain in an effort to obtain cultural
assimilation (Langer & Yorks, 2013). At this state, the office politics is essential to be
interpreted correctly (Armstrong, 2014) to coordinate various groups and individuals’ mindset
regarding trends, ideas, shift in context and level of innovation (Langer & Yorks, 2013). As a
prediction of the future IT Management to come, where the IT Management has evolved into
executive technology leadership, has been envisaged by Langer & Yorks (2013) and will for
example, involve the following organizational areas to be considered, described in figure 8.
Figure 2, depicture the anticipated work field for the Enterprise Architect as a member of the
IT Management in a merged and interpreted forthcoming subjects, sourced by Langer & Yorks
(2013). The Enterprise Architect’s knowledgebase need to be a wide-ranging mix of knowledge
and experience from technology, business, and social interactions, in an aim to drive the
business forward, such as:
Technology-driven artefacts: Equipment & Infrastructure (Minoli, 2008; Weill & Broadbent,
2009); Internet of Things (daCosta, 2014); and Security and Intelligence (Bosworth et al.,
2009; Shostack, 2014; Woody, 2013).
Business-driven artefacts: Legal and regulatory compliances (Larouche & Cserne, 2013;
Varella, 2014); Shared Services in an effort to reduce cost/increase availability (Kris & Fahy,
2003; Mangano, 2010; Schwarz, 2014); Virtual Offices and Communications (Langer & Yorks,
2013), Strategic Information impacting sales, as BI (Laursen & Thorlund, 2010) or Big Data
(Heisterberg & Verma, 2014); and Business Process Integration (Langer & Yorks, 2013).
Social interactions: Talent Management (Goldsmith & Carter, 2010); Inventions, Co-creation of
innovation (Ozcan & Ramaswamy, 2014) and Architectural Innovation (Henderson & Clark,
1990); and Mobility (Andriessen & Vartiainen, 2006; Langer & Yorks, 2013).
Since IT Management is intended to transform in the future, the position of the Enterprise
Architect is essential involving a shift in social interaction companioned by business and
technology-driven artefacts. The next subsection will discuss IT Governance.
Enterprise Architecture as part of IT Management
Figure 1. The level of impact from
Information Technology in the evolutionary
perspective.
© Enterprise Architect, 2015.
Version 0.27, 2015-10-11
Figure 2. The concluded and anticipated
challenges of IT Management.
Page references:
Aerts, A., Goossenaerts, J. B. M., Hammer, D. K., & Wortman, J. C. (2003). Architectures in context: on the evolution of business, application software, and ICT
platform architectures. Information & Management, 41, pp. 781-794.
Andriessen, J. H. E., & Vartiainen, M. (2006). Mobile virtual work: a new paradigm? New York; Berlin: Springer.
Argyris, C. (1977). Double loop learning in organizations. Harvard Business Review, Sep/Oct 1977, Vol. 55, Issue 5, pp. 115-125.
Armstrong, M. (2014). How to be an even better manager: a complete A-Z of proven techniques and essential skills, ninth edition. London; Philadelphia: Kogan Page.
Austin, R. D., O'Donnell, S., & Nolan, R. L. (2009). The adventures of an IT leader. Boston, Mass: Harvard Business Press.
Baines, H. V., & Ursah, J. R. (2009). Globalization: understanding, management, and effects. New York: Nova Science Publishers, Inc.
Barton, R. A. (2003). Global IT management: a practical approach.
Bass, B. M., & Riggio, R. E. (2006). Transformational leadership. Mahwah, N.J; London: Lawrence Erlbaum Associates.
Bhalla, G. (2011). Collaboration and Co-creation: New Platforms for Marketing and Innovation: Springer Science + Business Media.
Bosworth, S., Kabay, M. E., & Whyne, E. (2009). Computer security handbook. Hoboken, N.J: John Wiley & Sons.
Boynton, A. C., Jacobs, G. C., & Zmud, R. W. (1992). Whose Responsibility Is IT Management? Sloan management review, 33(4), pp. 32-38.
Broadbent, M., & Weill, P. (1997). Management by Maxim: How business and IT Managers Can Create IT Infrastructures. pp. 77-92.
Buchta, D., Eul, M., & Schulte-Croonenberg, H. (2007). Strategic IT Management: Increase value, control performance, reduce costs. Wiesbaden:
Betriebswirtschaftlicher Verlag Dr. Th. Gabler / GWV Fachverlage GmbH, Wiesbaden.
Burnes, B. (2009). Managing Change, 5th edition. Essex: Prentice Hall.
Chen, Y., Tang, G., Jin, J., Xie, Q., & Li, J. (2014). CEOs' transformational leadership and product innovation performance: the roles of corporate entrepreneurship and
technology orientation. The journal of product innovation management, 31(S1), pp. 2-17. doi: 10.1111/jpim.12188.
Cho, J., Park, I., & Michel, J. W. (2011). How does leadership affect information systems success?: the role of transformational leadership. Information & Management,
48(7), pp. 270-277. doi: 10.1016/j.im.2011.07.003.
Ciborra, C. U. (2001). From control to drift: the dynamics of corporate information infrastructures. Oxford: Oxford Univ. Press.
daCosta, F. (2014). Rethinking the Internet of Things: A Scalable Approach to Connecting Everything: Apress.
Eisenbeiß, S. A., & Boerner, S. (2010). Transformational leadership and R&D innovation: taking a curvilinear approach. Creativity and innovation management, 19(4),
pp. 364-372. doi: 10.1111/j.1467-8691.2010.00563.x.
Enquist, H., Magoulas, T., Bergenstjerna, M., & Holmqvist, M. (2001). DELTA Meta Architecture for Proactive Management of Coordinated Development In Complex
Enterprises and Information Systems. Göteborg: Göteborgs Universitet.
Esposito, A., & Rogers, T. (2013). Ten steps to ITSM success: a practitioner's guide to enterprise IT transformation. Ely, Cambridgeshire: IT Governance Publishing.
Evans, B. (2009). CEO-To-CIO Mandate: Quantify Business Value Of IT. InformationWeek(1228), pp. 8-8.
Goldsmith, M., & Carter, L. (2010). Best practices in talent management: how the world's leading corporations manage, develop, and retain top talent. West Palm
Beach, Fla.; San Francisco, Calif: Pfeiffer.
Grembergen van, W., & Haes de, S. (2009). Enterprise governance of information technology: achieving strategic alignment and value. New York: Springer.
Hambley, L. A., O’Neill, T. A., & Kline, T. J. B. (2007). Virtual team leadership: The effects of leadership style and communication medium on team interaction styles
and outcomes. Organizational Behavior and Human Decision Processes, 2007 Vol. 103, Issue 1, pp. 1-20.
Hausman, K. K. (2011). Sustainable enterprise architecture. Boca Raton, Fla: CRC Press.
Heisterberg, R., & Verma, A. (2014). Creating Business Agility: How Convergence of Cloud, Social, Mobile, Video, and Big Data Enables Competitive Advantage.
Somerset, NJ, USA: Wiley.
Henderson, R. M., & Clark, K. B. (1990). Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms.
Administrative Science Quarterly, 35(1), pp. 9-30.
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: translating strategy into action. Boston, Mass: Harvard Business School Press.
Kris, A., & Fahy, M. (2003). Shared service centres: delivering value from more effective finance and business processes. London: FT Prentice Hall.
Langer, A. M., & Yorks, L. (2013). Strategic IT: Best Practices for Managers and Executives. New Jersey: John Wiley & Sons, Inc.
Larouche, P., & Cserne, P. (2013). National Legal Systems and Globalization: New Role, Continuing Relevance. The Hague, The Netherlands: T. M. C. Asser Press.
Laursen, G. H. N., & Thorlund, J. (2010). Business analytics: taking business intelligence beyond reporting. Hoboken, N.J: Wiley.
Lazic, M. (2013). The Impact of Information Technology Governance on Business Performance: Informationstechnologie und Ökonomie Band 49. DE: Peter Lang Ag.
Magoulas, T., & Pessi, K. (1998). Strategic IT Managment. Göteborgs Universitet, Göteborg.
Mangano, J. (2010). The Next Generation Shared Service Center - What Have We Learned? , 16(4), pp. 5.
Men, L. R. (2014). Strategic Internal Communication: Transformational Leadership, Communication Channels, and Employee Satisfaction. Management
Communication Quarterly, 28(2), pp. 264-284.
Miller, D. (1993). The Architecture of Simplicity. The Academy of Management Review, 18(1), pp. 116-138.
Minoli, D. (2008). Enterprise Architecture A to Z: Frameworks, Business Process Modeling, SOA, and Infrastructure Technology. Hoboken: Auerbach Publications.
Mintzberg, H. (1979). The structuring of organizations: a synthesis of the research. Englewood Cliffs, N.J: Prentice-Hall.
Mutsaers, E.-J., Zee van der, H., & Giertz, H. (1998). The evolution of information technology. Information Management & Computer Security, 6(3), pp. 115-126. doi:
10.1108/09685229810225001.
Nie, S. H. (2014). Analysis of Computer Information Processing Technology in Era of Big Data. Applied Mechanics and Materials, 687-691, pp. 2772-2775. doi:
10.4028/scientific.net/AMM.687-691.2772.
Niemann, K. (2006). From Enterprise Architecture to IT Governance: Vieweg.
Ozcan, K., & Ramaswamy, V. (2014). Co-Creation Paradigm. Stanford, Calif: Stanford University Press.
Panigrahy, R. L. (2010). Information Technology: Global Media.
Perks, C., & Beveridge, T. (2004). Guide to Enterprise IT Architecture. New York: Springer.
Pessi, K. (2009). IT Management: Göteborgs universitet / Chalmers tekniska högskola.
Roberts, E. B. (2007). Managing Invention and Innovation. Research-Technology Management, 50(1), pp. 35-54.
Ross, J. W., Weill, P., & Robertson, D. C. (2006). Enterprise architecture as strategy: creating a foundation for business execution. Boston, Mass: Harvard Business
School.
Schwarz, G. (2014). Public Shared Service Centers: Management, Organisation und ökonomische Analyse 15. DE: Springer Verlag.
Shostack, A. (2014). Threat modeling: designing for security. Indianapolis, IN: John Wiley and Sons.
Steiber, A. (2014). The Google Model: Managing Continuous Innovation in a Rapidly Changing World. Cham: Springer International Publishing.
Wang, H., Qi, H., Che, W., Qiu, Z., Kong, L., Han, Z., Lin, J., & Lu, Z. (2015). Intelligent Computation in Big Data Era: International Conference of Young Computer
Scientists, Engineers and Educators, ICYCSEE 2015, Harbin, China, January 10-12, 2015. Proceedings (Vol. 503). Berlin, Heidelberg: Springer Berlin Heidelberg.
Varella, M. D. (2014). Internationalization of Law: Globalization, International Law and Complexity. Berlin, Heidelberg: Springer Berlin Heidelberg.
Weill, P., & Broadbent, M. (2009). Leveraging the new infrastructure: how market leaders capitalize on information technology. Boston, Mass: Harvard Business School
Press.
Weill, P., & Ross, J. W. (2004). IT Governance on One Page. Massachusetts: CISR WP No. 349 and Sloan WP No. 4516-04.
Weill, P., & Woodham, R. (2002). Don’t Just Lead, Govern: Implementing Effective IT Governance. Cambridge Massachusetts: CISR WP No. 326. MIT Cambridge
Massachusetts. April 2002.
Woody, A. (2013). Enterprise security: a data-centric approach to securing the enterprise: a guide to applying data-centric security concepts for securing enterprise
data to enable an agile enterprise. Birmingham: Packt Pub.
Zachman, J. A. (1987). A framework for information systems architecture. IBM Systems Journal, 25(3), pp. 276-292.