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

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by DAN CALLOWAY
Published 23 July 2010

Dan Calloway, Member of the ACM

WEAVERVILLE, NC — For the purposes of this discussion, I chose two disparate sources that I felt represented either end of the data completeness and accuracy continuum. What I was looking for, in the two sources I chose that represented data completeness and accuracy, was the degree to which the data findings were statistically presented in the respective reports and the accuracy with which the data was measured (Vogt, 2007)⁠.

The first source I identified was Pignon, Bourhis, Domenge, and Designe (2000), which was a meta-analysis of a study conducted by Dr. J. P. Pignon, MD, of the Department of Biostatistics and Epidemiology at the Institut Gustav-Roussy in Villejuif, France. In this study, 70 randomized trials were conducted, the results of which indicated a small significant survival benefit in favor of chemotherapy on non-metastatic head and neck squamous-cell carcinoma and also indicated the routine use of chemotherapy as treatment of these carcinomas to be debatable. The meta-analysis study was very complete and accurate in that the findings listed a statistical analysis of 63 trials (10,741 patients), which reported a pooled hazard ratio of death of 0.90 with a Confidence Interval (CI) of 95% (range of 0.85 – 0.94) with a p-value < 0.0001 and corresponding to an absolute survival of 4% at two to five years in favor of chemotherapy. Moreover, the meta-analysis of six trials (861 patients), which compared neoadjuvant chemotherapy in addition to radiotherapy with concomitant or alternating radiochemotherapy yielded a hazard ratio of 0.91 (range of 0.79 – 1.06) in favor of concomitant or alternating radiochemotherapy. And, finally, three larnyx preservation trials (602 patients) compared radiotherapy with neoadjuvant chemotherapy with radical surgery in responders and radical surgery and radiotherapy in non-responders. The hazard ratio of death in the chemotherapy group as compared to the control group was 1.19 (range of 0.97 – 1.46). Throughout the report, the results of the meta-analysis study were analyzed statistically indicating the mean, SD, and variance between the control and non-control-group data, which is a clear indication that the study represented the data with accuracy and completeness. Pignon, et al. often reported the mean, SD, and variance along with the sample size (N) of each group of trials that were studied. This source was considered a high-value source of information and represented a good example of the proper use of descriptive statistics in analyzing the relationships between the various data variables.

In stark contrast, the second source I identified was a multidisciplinary study of the disease burden in the diseases of the most impoverished conducted by Deen, von Seidlein, and Clemens (2004). This study failed to capture actual disease-burden data, which was apparently unavailable from many under-developed countries and, instead, relied primarily on morbidity and mortalilty estimates that had been made. The reliability and accuracy of these estimates was questionable and the extent of the disease-burden data was the number of cases and deaths. Modeling methods used in the study are also deemed unreliable since they were based on baseline approximations rather than actual data being analyzed. Nowhere in the nine-page study of Deen, von Seidlein, and Clemens was there any statistical analysis conducted on the data that had been gathered and conclusions in the report were based on qualitative judgments that had been made by the authors. Furthermore, since no statistical analysis was forthcoming in this study, this study represented a low-value source of information and was not representative of descriptive statistics at all, since none were provided.

References:
Deen, J. L., von Seidlein, L., & Clemens, J. D. (2004). Multidisciplinary studies of disease burden in the diseases of the most impoverished programme. Journal of Health, Population, and Nutrition, 22(3), 232-239. Retrieved from http://proquest.umi.com.library.capella.edu/pqdlink?Ver=1&Exp=07-21-2015&FMT=7&DID=1943620931&RQT=309.

Pignon, J. P., Bourhis, J., Domenge, C., & Designe, L. (2000). Chemotherapy added to locoregional treatment for head and neck squamous-cell carcinoma: Three meta analyses of updated individual data. The Lancet, 355(9208), 949-955. Retrieved from http://proquest.umi.com.library.capella.edu/pqdweb?index=0&did=51586916&SrchMode=1&sid=1&Fmt=4&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1279826825&clientId=62763.

Vogt, W. P. (2007). Quantitative Research Methods for Professionals (Custom., p. 334). Boston: Pearson Education, Inc.

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

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by DAN CALLOWAY
Published 16 June 2010

WEAVERVILLE, NC – Most computer-based information systems and especially those involving large system development projects in the past several decades have involved the business sector – especially for large businesses – or have been associated with the business sector in some way. These information systems have been collectively referred to as Enterprise Resource Planning (ERP) systems. Hoffer, George, and Valacich (2011) define ERP as “a system that integrates individual business functions into a series of modules so that a single transaction occurs seamlessly within a single information system rather than several separate systems” (p. 529). Umble, E. J., Haft, and Umble, M. (2003) describe the evolution of the ERP beginning in the 1960s when the focus on the manufacturing process was on inventory control, through the development of Materials Requirement Planning (MRP) in the 1970s when businesses discovered they could no longer maintain just-in-time inventories on-hand to satisfy customer requirements, and on into the 1980s when companies realized they could take advantage of the increased power and affordability of available technology and were able to combine the movement of inventory with the coincident financial activity within the business (p. 242). This latter movement spawned the development of MRP II systems, which involved the incorporation of the financial accounting system and the financial management system along with the materials management and manufacturing systems within the business sector that allowed companies to have a more integrated business. This new integrated business system derived the material and capacity requirements associated with the desired operations plan, allowed for the input of detailed activities, translated this information into a financial statement, and suggested a strategy to address those actions that were not in balance with the desired operations plan. By the early 1990s, technological advances allowed MRP II to be expanded to include all the resources and planning for those resources within the business organization. Additional areas such as product design, materials planning, information warehousing, capacity planning, communications systems, human resources, finance, and project management could be combined with MRP II to include the entire Enterprise and, thus, the term ERP was coined (E. J. Umble et al, p. 242).

E. J. Umble et al. (2003) cites a case study of a successful implementation of an ERP system by Huck International, Inc., a designer, manufacturer, and distributer of a wide range of commercial, industrial, and aerospace fastening systems, during 1998 and 1999. The E. J. Umble et al. study attributes the success of Huck International, Inc. as the degree to which they adhered to the critical success factors, system selection guidelines, and implementation procedures of the ERP system – elements of a successful ERP that are not practiced by typical business organizations worldwide and, as a consequence, result in implementation failures. E. J. Umble et al. in citing a survey by Information Week of IT managers, goes on to state that the top three reasons for failures of IT projects and information systems implementation within the business are: (1) Poor planning or poor management [cited by 77%], (2) Change in business goals during the project [cited by 75%], and (3) Lack of business management support [cited by 73%]. Furthermore, as a direct consequence, most of the Information Systems implementation projects fall short of their potential payback, and 26% are canceled before completion. In many of the completed projects, technology is implemented in a vacuum and many users resist them. E. J. Umble et al. (citing Langenwalter, 2000) claims that as many as 40% – 60% or higher of ERP systems implementations can be classified as failures.

Based on the extensive studies conducted by E. J. Umble et al. (2003), the list of reasons for the implementation failures of ERP systems within business can be classified into the following ten categories:

  1. Strategic goals are not clearly defined whereby the organization has not clearly thought through the goals, expectations, and deliverables
  2. Top management is not committed to the system, does not see the profound changes that it engenders, and/or does not actively participate in the implementation process
  3. Implementation project management is poor wherein the organization underestimates the scope, size, and complexity of the systems implementation projects
  4. The organization is not committed to change
  5. A good implementation team is not chosen
  6. Inadequate education and training results in users of the system who are unable to run it properly
  7. Data accuracy is not ensured
  8. Performance measures are not adapted to ensure that the organization changes
  9. Multi-site issues are not properly resolved; and,
  10. Technical difficulties, such as bugs in the software, problems interfacing with existing systems, and hardware issues can lead to implementation failure.

References:

Hoffer, J., George, J., & Valacich, J. (2011). Modern Systems Analysis and Design (6 ed.). Upper Saddle River, New Jersey: Prentice Hall.

Langenwalter, G. (2000). Enterprise Resources Planning and Beyond: Integrating Your Entire Organization. Boca Raton, FL: St. Lucie Press.

Umble, E. J., Haft, R., & Umble, M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146(2), 241-257. Retrieved from http://www.sciencedirect.com.library.capella.edu/science?_ob=ArticleURL&_udi=B6VCT-47G3XP2-3&_user=4421785&_coverDate=04%2F16%2F2003&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=

c&_acct=C000063116&_version=1&_urlVersion=0&_userid=4421785&md5=7106269fe40a527a34ce488e5c7dea6e.


Dan Calloway

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by JILL LASTER, The Chronicle of Higher Education
Published 27 January 2010 @ 14:44 UTC

WASHINGTON, DC – A nonprofit corporation created to find new uses of information technology in education debuted on Monday.

Congress authorized the creation of the National Center for Research in Advanced Information and Digital Technologies in 2008. The New York Times reports that the center could be giving out grants by fall.

The center received $500,000 in funds from the Department of Education–far less than the $50-million that advocates requested when Congress authorized the center in 2008. The center also plans to solicit private funds.

Lawrence K. Grossman, former president of NBC News and PBS, and Newton N. Minow, former chairman of the Federal Communications Commission, recommended a multibillion-dollar trust that would function as a “venture capital fund” to do research on learning technology in 2001, according to the Times.

The center was included in the reauthorization of the Higher Education Act and was endorsed by several higher-education associations. It wants to finance projects such as three-dimensional simulations of abstract concepts.

The Federation of American Scientists is excited about the new project, said Melanie Stegman, the group’s director of educational technologies.

“We think there’s a lot more to be learned on how to use technology in education most effectively,” she said. “We also think this center for research in education goes hand-in-hand with training teachers.”

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