by DAN CALLOWAY
Published 24 July 2010

Member of the ACM

WEAVERVILLE, NC - Three quantitative attributes or variables that I consider essential in representing what should be considered an effective leadership style in the professional area of Information Technology especially as it relates to my former local government organization are based, to a large degree, on model 1 of servant leadership as outlined in Russel and Stone (2002, figure 1, p. 147). These attributes are also referred to as the functional attributes or dependent variables of the model, and I have selected among them the three quantitative attributes of: vision, honesty & integrity, and credibility.

The central role of an effective IT leader is one of vision. By vision, I mean the ability to establish a strategic view of the business and the role that IT plays in that strategic viewpoint. A good IT leader is one who has the ability to foresee the future of the organization and to virtually know the unknowable (Russel & Stone, 2002, p. 147). Another important attribute of effective leadership that I believe is essential in any IT organization is that of honesty and integrity. Both honesty and integrity are integral parts of any effective leader and are essential if the followers in the organization are going to buy into what the leader proposes. The honesty and integrity of the leader is representative of his/her overall character and this attribute is critical to establishing the credibility of that leader (Russel & Stone, pp. 147-148). And, last but certainly not least, a third attribute of an effective IT leader whether it is in a local government organization or the corporate private sector is credibility. Credibility is defined by The American Heritage Dictionary of the English Language (1992) as “the quality, capability, or power to elicit belief” (Russel & Stone, p. 148). Both honesty and integrity facilitate interpersonal credibility; is an essential ingredient in good leadership; and, as Russel and Stone state in citing Kouzes and Posner (1995) is “how leaders earn the trust and confidence of their constituents” (p. xvii).

These functional attributes or dependent variables of servant leadership, which I have enumerated as being essential in the development of an effective IT leader are related to one another and stem from the accompanying attributes or moderating variables of communications, competence, stewardship, visibility, influence, and encouragement, just to name a few (Russel & Stone, 2002, p. 154). Furthermore, these accompanying attributes are related to the independent variables of servant leadership known as values, core beliefs, and principles (Russel & Stone, p. 154).

Within the IT department of the local government organization for which I once worked, the IT director’s values, core beliefs, and principles laid the foundation for the accompanying attributes or variables representing his communication skills, competence in leading his people, stewardship for the organization and for the County citizens whom he served, his visibility, influence and encouragement both within and without the organization that set the precedent for effective leadership and guidance of the IT director’s subordinates and the constituents with whom he worked. The IT director’s vision, honesty and integrity, and credibility allowed him to effectively lead his department to be successful in reaching the goals he had set for his department and for County government..


References

(The) American Heritage Dictionary of the English Language, 3rd ed., (1992). Redmond, WA: Houghton Mifflin Company, electronic version licensed from Intersoft International, Contained in Bookshelf, 1995/Office professional version 7.0.

Kouzes, J. M., & Posner, B. Z. (1995). The Leadership Challenge. San Francisco, CA: Jossey-Bass

Russel, R. F., & Stone, A. G. (2002). A review of servant leadership attributes: Developing a practical model. Leadership & Organization Development Journal, 23(3/4), 145-157. Retrieved from http://proquest.umi.com.library.capella.edu/pqdweb?index=0&did=265994061&SrchMode=1&sid=2&Fmt=4&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1279742744&clientId=62763.


Dan Calloway

Tagged with:
 

by DAN CALLOWAY
Published 20 June 2010

WEAVERVILLE, NC –  The following is an analysis of the article: “The Collaborate/Integrate Business Technology Strategy,” by Stephen J. Andriole.

Andriole (2006) discusses the importance for business management today to concentrate on their collaborative business future and how well technology can be integrated into the business before they invest in the technology. He sees collaborative business modeling and technology integration as the two strategic business technology investment priorities for businesses. Andriole defines the collaborative business modeling as the modeling of supply chain management, personalization, optimization, customization, automation, and transaction trust. Likewise, Andriole sees technology integration as the process of supporting the collaborative business modeling, including back-, front-, and virtual-office data and application integration, integrating communication infrastructures, and the development of cross-platform security architectures (p. 85).

The business technology investment priorities model illustrated in Andriole (2006) outlines an approach to collaboration and the integration of technology into the business that any business should take and, by doing so, the decision to invest and integrate technology into the business should be carefully analyzed prior to the investment. According to Andriole, if collaboration and integration are low, the company should not invest in or attempt integrating the technology; if both collaboration and integration within the company are mediocre, the company should carefully assess whether they should invest in and integrate the technology into the business; and, if both collaboration and integration are high, the company should definitely invest in the technology and pursue its integration into the business plan as soon as possible.

One important conclusion reached by Andriole (2006) is that even though business collaboration and technology integration are two crucial investment priorities for the business, the specifics of these two priorities will differ from company to company, and the degree of success for each company will depend greatly on the company’s ability to fully understand the business collaboration models they need to support integrated technology.

Andriole’s (2006) discussion of business technology investment and collaboration priorities enhances the concept of the business strategy as set forth in Ward and Peppard (2002) wherein they stress the importance of assessing, identifying, and defining the business needs and opportunities as a necessary requirement if the IS/IT strategy for the business is to have any significant worth (p. 297). Andriole establishes the relative priorities for IS/IT investments and offers a guideline for the SBU to determine whether investment in technology and its integration into the business should be undertaken. Strategic Information Systems Planning (SISP) is crucial to the enterprise because, according to Ward et al., it begins with identifying the needs of the business. Objectives, priorities, and authorization for IS projects must be formalized to the extent that everyone understands them, but flexible enough so that priorities can be adjusted if necessary. The business investment collaboration and integration concept of Andriole helps the business to determine whether an investment in technology should be undertaken and if so, how this technology should be integrated into the business to effect the greatest benefit to the business entity. Andriole was chosen because it helped to solidify in my mind, from a decidely different perspective, how a company should go about making the right decisions on if and when to invest in technology, how the integration of that technology should be undertaken into the business, and in what fashion that technology should take, so that the technology will benefit it most.


References:

Andriole, S. (2006). The Collaborate/Integrate Business Technology Strategy. Communications of the ACM, 49(5), 85-90.

Ward, J., & Peppard, J. (2002). Strategic Planning for Information Systems (3rd.). Cranfield, Bedfordshire, UK: John Wiley and Sons, Ltd.


Dan Calloway

Tagged with:
 

By DAN CALLOWAY
Published 15 November 2009

ITandtheBusinessSectorWEAVERVILLE, NC - Reich and Benbasat (2000) argue that the establishment of a strong long-term alignment between IT and organizational objectives received its greatest influence from shared domain knowledge between the two factions.  Here, shared domain knowledge is defined by Reich and Benbasat (2000) “as the ability of IT and business executives, at a deep level, to understand and be able to participate in others’ key processes and to respect each other’s unique contribution and challenges” (p. 86).  Research conducted years later by Luftman and Kempaiah (2007) appeared to modify the findings of Reich and Benbasat (2000) by indicating that there are three reasons why attaining IT-business alignment has been so elusive: (1) the definition of alignment is frequently focused only on how IT aligns with the business organization; (2) organizations have often looked for a silver bullet wherein mature alignment cannot be attained without effective and efficient execution and a demonstration of value, but this is not sufficient; and (3) there has not been an effective tool with which to measure the maturity of IT-business alignment—one that can provide a descriptive assessment and a prescription on how to improve.  Luftman and Kempaiah (2007) went on to identify six components of alignment maturity: (1) communications, (2) value, (3) governance, (4) partnership, (5) scope and architecture, and (6) skills.  Furthermore, they identified five levels of alignment maturity within organizations: (1) Level One – initial or ad-hoc processes, (2) Level Two – committed processes, (3) Level Three – established focused processes, (4) Level Four – Improved managed processes, and (5) Level Five – optimized processes.  They determined through their research that the majority of organizations are at Level Three on their alignment maturity scale.

Glen (2003) argues that an IT leader’s responsibilities of furnishing external representation for geeks and the organization in which they work are to acquire information, establish and maintain alignment between IT and the business organization, obtain sufficient resources for IT, manage expectations, project prominence, protect the geeks, insulate the geeks, and attract more geeks to work for IT.  When an organization pursues the goal of shared domain knowledge, as defined by Reich and Benbasat (2000), then the organization seeks to acquire equally the knowledge pertaining to future business plans; the political landscape; the technological landscape; the attitudes of clients, their expectations, and impressions; and the sociopolitical and economic environment surrounding the business.  Furthermore, in seeking shared domain knowledge, this allows the organization and IT to share in the resources that they need to be successful, such as the budget, people, equipment, physical space, test data, and client attention.

When an organization has attained the goal of shared domain knowledge, the IT leader’s role within the organization is then further enhanced by his/her responsibility to establish and maintain an alignment between IT and the business organization (as seen by Reich and Benbasat (2000)) through a mutually supportive relationship among the technologies, goals, and processes of that organization that reaching this goal affords.  Some of the factors that must be aligned are: (1) business problems being solved or opportunities being exploited; (2) technical solutions to business problems; (3) budgets, schedules, and quality constraints on projects;  (4) goals of client constituencies; (5) future applicability of the solutions; and (6) implementation approaches.  The geek leader’s external representation role, at this point in the alignment, is to be the advocate for the contributions that the geeks and technology bring to the overall organizational strategy decisions (Glen, 2003).

References:

Glen, P. (2003). Leading Geeks: How to manage and lead people who deliver technology. San Francisco: Jossey-Bass.

Luftman, J., & Kempaiah, R. (2007). An Update on Business-IT Alignment: “A Line” Has Been Drawn. MIS Quarterly Executive , 6 (3), 165-177.

Reich, B. H., & Benbasat, I. (2000). Factors that Influence the Social Dimension of Alignment Between Business and Information Technology Objectives. MIS Quarterly , 24 (1), 81-113.

by DAN CALLOWAY
Published August 23, 2009 at 12:15 EST; www.dancalloway.com

Dan Calloway

Dan Calloway

WEAVERVILLE, NC – Despite the explosion of Information Technology world wide over the past 20 years, little has been accomplished in the way of forming definitive literature that adequately addresses the ethical thinking of students, scholars, and practitioners as it applies to Information Technology. Even though there have been some pioneers that have explored the outer regions of IT ethics, no systematic literature has been forthcoming in this field as has been developed for business ethics, and the medical and legal ethics arenas.

Various assumptions that are made with regard to ethics and legality in Information Technology center on the area of computer security and privacy in the home, workplace and on the Internet.

Laudon (1995) describes four distinct rules of ethical thinking that have emerged over the years, which are classified as: (1) The collective rule-based way of thinking, (2) The individual rule-based way of thinking, (3) The collective consequentialist way of thinking, and (4) The individual consequentialist way of thinking. The collective rule-based school argues that the rules of ethical behavior should be followed by everyone and the rules apply universally. The individual rule-based school argues that the individual will eventually come to know what is right by looking inward at the universal and timeless truths derived from religious beliefs, intuitions, and self analysis. In contrast, the third and fourth schools of ethical thinking tell us that we should develop our ethical and legal ideals based on empirical understanding of the real world rather than relying on “rules” given to us for the situations that we face. The third school—that of collective consequentialist—began with Aristotle, who argued that by studying the actions, laws, and mores of differing people and cultures inductively, we could arrive at a universal set of actions, laws, and mores for everyone. And, lastly, the fourth school—that of individual consequentialist—tells us that good acts on the parts of individuals in any given situation have good consequences, wherein individuals examine one’s situation and maximize one’s potential after calculating one’s options and taking the best option.

(more…)

Tagged with:
 
Get Adobe Flash playerPlugin by wpburn.com wordpress themes

SEO Powered by Platinum SEO from Techblissonline