1,720,955 research outputs found
Developing guidelines for business intelligence modules in information technology programmes at universities using critical systems heuristics
Full text linkMSc (Computer Science) - North-West University, Vaal Triangle Campus, 2016.Data warehousing (DW)/ Business intelligence (BI) is continually being implemented across many industries; however, universities in South Africa face a variety of challenges in training the next generation of DW/BI workers. The complexity of the situation arises from the different goals of the involved and affected stakeholders. The problem addressed by this study is the difficulty traditional universities experience to provide the DW/BI industry with graduates that are able to contribute to the organisation without substantial further training.
A systems approach is recommended and applied to determine how, in this changing environment of DW/BI education practice and with different stakeholders’ perspectives, we can improve our understanding of it. Two systems methodologies are chosen as instruments to be used in the research problem. A research paradigm is chosen; the process of how to develop guidelines is also presented to bring clarity on what is a guideline is, and how it is used.
Research aspects are extracted from the DW/BI literature review, and from current DW/BI programmes at universities. These research aspects are used to formulate an interpretive questionnaire leading to an empirical study. A purposeful selection of participants is conducted for this interpretive study. The required information is the understanding of the former students, lecturers, and industry experts. Interpretive coding and cross case analysis are selected as applicable methods for this study. The results of data analysis are used to create guidelines for DW/BI module.
Four sets of guidelines concerning the content and development process for a DW/BI module are presented as findings of this study. The significance of the findings reflects on the current DW/BI problem situation, as well as the ideal.
Further study, recommendations, as well as assumptions and limitations of the study are also presented.Master
INDUSTRY NEEDS FOR DATA WAREHOUSING STUDENTS: USING SSM AS HERMENEUTIC DATA ANALYSIS TOOL FOR INTERPRETIVE INTERVIEW DATA
No full textThe soft systems methodology was developed by Peter Checkland over an extended period of time to assist organisational improvements. It provides tools to assist different stakeholders to articulate their perspectives on the best action to be taken in problem environments. It is grounded in the ideas of soft systems thinking, where systems are viewed as conceptual models to make sense of a messy real world environment. The original focus of soft systems methodology is organisational use rather than academic use. In this paper we demonstrate how the soft systems methodology can be used to guide and analyse interpretive interviews with participants in an academic research project in the context of interpretive research methodology.We reflect on the hermeneutic nature of interpretive qualitative data collection and analysis and then we show that an activity diagram as used in the soft systems methodology, is a valid data analysis technique in terms of the epistemological context of interpretive data analysis.We demonstrate our proposal by means of the data analysis of interpretive interviews of data warehouse practitioners on their perspectives of the required skills of information technology students majoring in data warehousing. We compiled activity diagrams and used them in communication with our participants, thus enabling our participants to verify our data analysis and enhance our understanding of their perspectives. We show how different perspectives can be represented and reflected upon after compiling activity diagrams and how different perspectives can be accommodated to develop a single strategy for change.Our main contribution is to demonstrate the suitability of the soft systems methodology in data collection and analysis in interpretive cases studies where strategies for changes are studied.The paper is organised in four main sections, starting with a discussion on the ontological and epistemological assumptions of interpretive case studies in order to show that it is possible to use the soft systems methodology from an interpretive research perspective. The second section provides a very brief discussion of the soft systems methodology. Our main contribution is in section three, providing justification and guidance for using the soft systems methodology to guide data collection and analysis in the context of interpretive research methodology. We demonstrate our proposal in the fourth section, where we show how we analysed interpretive interview data. Our paper concludes with reflection and recommendations
Industry needs for data warehousing students: using SSM as hermeneutic data analysis tool for interpretive interview data
No full textThe soft systems methodology was developed by Peter Checkland over an extended period of time to assist organisational improvements. It provides tools to assist different stakeholders to articulate their perspectives on the best action to be taken in problem environments. It is grounded in the ideas of soft systems thinking, where systems are viewed as conceptual models to make sense of a messy real world environment. The original focus of soft systems methodology is organisational use rather than academic use. In this paper we demonstrate how the soft systems methodology can be used to guide and analyse interpretive interviews with participants in an academic research project in the context of interpretive research methodology.
We reflect on the hermeneutic nature of interpretive qualitative data collection and analysis and then we show that an activity diagram as used in the soft systems methodology, is a valid data analysis technique in terms of the epistemological context of interpretive data analysis.
We demonstrate our proposal by means of the data analysis of interpretive interviews of data warehouse practitioners on their perspectives of the required skills of information technology students majoring in data warehousing. We compiled activity diagrams and used them in communication with our participants, thus enabling our participants to verify our data analysis and enhance our understanding of their perspectives. We show how different perspectives can be represented and reflected upon after compiling activity diagrams and how different perspectives can be accommodated to develop a single strategy for change.
Our main contribution is to demonstrate the suitability of the soft systems methodology in data collection and analysis in interpretive cases studies where strategies for changes are studied.
The paper is organised in four main sections, starting with a discussion on the ontological and epistemological assumptions of interpretive case studies in order to show that it is possible to use the soft systems methodology from an interpretive research perspective. The second section provides a very brief discussion of the soft systems methodology. Our main contribution is in section three, providing justification and guidance for using the soft systems methodology to guide data collection and analysis in the context of interpretive research methodology. We demonstrate our proposal in the fourth section, where we show how we analysed interpretive interview data. Our paper concludes with reflection and recommendation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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