Basics of qualitative research: Grounded theory procedures and techniques

Data Mining - Concepts and Techniques.

According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

Bowling alone: The collapse and revival of American community

From the Publisher: 
A Question of Identity 
Life on the Screen is a fascinating and wide-ranging investigation of the impact of computers and networking on society, peoples' perceptions of themselves, and the individual's relationship to machines. Sherry Turkle, a Professor of the Sociology of Science at MIT and a licensed psychologist, uses Internet MUDs (multi-user domains, or in older gaming parlance multi-user dungeons) as a launching pad for explorations of software design, user interfaces, simulation, artificial intelligence, artificial life, agents, "bots," virtual reality, and "the on-line way of life." 
Turkle's discussion of postmodernism is particularly enlightening. She shows how postmodern concepts in art, architecture, and ethics are related to concrete topics much closer to home, for example AI research (Minsky's "Society of Mind") and even MUDs (exemplified by students with X-window terminals who are doing homework in one window and simultaneously playing out several different roles in the same MUD in other windows). Those of you who have (like me) been turned off by the shallow, pretentious, meaningless paintings and sculptures that litter our museums of modern art may have a different perspective after hearing what Turkle has to say. 
This is a psychoanalytical book, not a technical one. However, software developers and engineers will find it highly accessible because of the depth of the author's technical understanding and credibility. Unlike most other authors in this genre, Turkle does not constantly jar the technically-literate reader with blatant errors or bogus assertions about how things work. Although I personally don't have time or patience for MUDs,view most of AI as snake-oil, and abhor postmodern architecture, I thought the time spent reading this book was an extremely good investment.

스크린 위의 삶 = Life on the screen : identity in the age of the internet

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success The study followed a two-stage qualitative approach Firstly, the authors utilised the Delphi method to conduct three rounds of studies The study develops a CSFs framework crucial for BI systems implementation Next, the framework and the associated CSFs are delineated through a series of case studies The empirical findings substantiate the construct and applicability of the framework More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results

/pdf/critical-success-factors-for-business-intelligence-systems-4k7ges2bxv.pdf

Critical Success Factors for Business Intelligence Systems

is prohibited. a b S tra C t The implementation of a BI system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of CSFs for management reference. This article represents a first step of fill ing in the research gap. The authors utilized the Delphi method to conduct three rounds of studies with 15 BI system experts in the domain of engineering asset management organizations. The study develops a CSFs framework that consists of seven factors and associated contextual elements crucial for BI systems implementation. The CSFs are committed management support and sponsorship, business user-oriented change management, clear business vision and well-established case, business-driven methodology and project management, business-centric championship and balanced project team composition, strategic and extensible technical framework, and sustainable data quality and governance framework. This CSFs framework allows BI stakeholders to holistically understand the critical factors that influence implementa tion success of BI systems.

/pdf/managing-the-implementation-of-business-intelligence-systems-1lgu1q71m4.pdf

Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework

What exactly is the difference between data and information? What is the difference between data quality and information quality; is there any difference between the two? And, what are knowledge and wisdom? Are there such things as knowledge quality and wisdom quality? As these primitives are the most basic axioms of information systems research, it is somewhat surprising that consensus on exact definitions seems to be lacking. This paper presents a theoretical and empirical exploration of the sometimes directly quoted, and often implied Data, Information, Knowledge, Wisdom (DIKW) hierarchy and its quality dimension. We first review relevant literature from a range of perspectives and develop and contextualise a theoretical DIKW framework through semiotics. The literature review identifies definitional commonalities and divergences from a scholarly perspective; the theoretical discussion contextualises the terms and their relationships within a semiotic framework and proposes relevant definitions grounded in that framework. Next, rooted in Wittgenstein’s ordinary language philosophy, we analyse 20 online news articles for their uses of the terms and present the results of an online focus group discussion comprising 16 information systems experts. The empirical exploration identifies a range of definitional ambiguities from a practical perspective.

/pdf/data-information-knowledge-wisdom-dikw-a-semiotic-20qb3cf2r0.pdf

Data, Information, Knowledge, Wisdom (DIKW): A Semiotic Theoretical and Empirical Exploration of the Hierarchy and its Quality Dimension

How Do Students Use Their Mobile Devices to Support Learning? A Case Study from an Australian

Data Quality (DQ) is seen as critical to effective business decision-making. However, maintaining DQ is often acknowledged as problematic. Asset data is the key enabler in gaining control of assets. The quality asset data provides the foundation for effective Asset Management (AM). Researches have indicated that achieving AM DQ is the key challenge engineering organisations face today. This paper investigates the DQ issues emerging from the unique nature of engineering AM data. It presents an exploratory research of a large scale national-wide DQ survey on how Australian engineering organisations address DQ issues, and proposes an AM specific DQ framework.

Andy Koronios

Papers

Critical Success Factors for Business Intelligence Systems

Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework

Data, Information, Knowledge, Wisdom (DIKW): A Semiotic Theoretical and Empirical Exploration of the Hierarchy and its Quality Dimension

How Do Students Use Their Mobile Devices to Support Learning? A Case Study from an Australian

Developing a data quality framework for asset management in engineering organisations