Information and Knowledge Management using ArcGIS ModelBuilder

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Graham Fletcher and Marie Cahillane Data was initially collected as hand written questionnaires and collected so that the participants were not aware of the study during its operation, but they become fully informed before agreeing to submit their results. Answers submitted by participants were coded so that it was not possible to identify individuals or to identify which subjects declined to include their results. A nine point likert scale was used for answers to all questions except 5 and 6 which have free form answers. An Independent analysis committee, blind to the hypotheses, performed a thematic analysis of the free form answers. The categories were then mapped to nine point likert scale answers by subject experts who were asked to score each category as indicative of an answer to the question “Is pair programming a worthwhile methodology?. Most of the themes were scored remarkably consistently by the expert panel as indicated by very low standard deviations. Where there was no consistent opinion of the meaning of a category, indicated by a standard deviation of above 1.5, the answers falling into this category were removed from the study. The following dependant variables were derived from the data gathered. Efficacy: The expressed opinion on the efficacy of pair programming as a technology. Calculated as the average likert score from questions 1 to 6. In the open questions (5 and 6) the Likert scores were derived by the thematic analysis and independent analysis. Confidence: The expressed confidence, on the same 9 point likert scale, of the validity of the subjects answers. Intent: The expressed intent to deploy pair programming on the projects or programme for which the subject is responsible. Responses are on the 9 point likert scale. Where no response was given then the subject was omitted from the study for the elements that require this variable. 2.2 Data analysis procedures In this section we detail our approach to analysing our data in preparation for and demonstrate how this data is used to answer our research hypotheses. The overall analysis procedure was to use statistical bootstrapping techniques to calculate the probability that the data sets gathered before and after exposure to systematic reviews were from different populations. This class of statistical resampling techniques provides a robust method of evaluating the statistical significance of any changes to the variables in the before and after populations. 2.2.1 Hypothesis 1: Exposure to a systematic review will change the opinion of knowledgeable participants In this question we are looking at the population of subjects. We wish to know if exposure to a systematic review has the power to change the opinion of the group by a measurable, significant amount. In this question we are dealing with perceived efficacy and confidence. I.e. we see a change of efficacy and confidence as equally important. Expressed and true efficacy values are assumed to differ according to a standard distribution, with the expressed value at the centre of the distribution and the confidence related to the deviation. The distributions are calculated using the probability density function for a standard distribution, normalised such that the probability falling in the likert range (1-9) is 1. Table 1 and Figure 1 set out the standard deviations used for each expressed certainty. The probability distributions of a population of participants can be summed to produce a graph representative of the whole population. Each of the individual graphs has an area under the curve of 1, summing n graphs gives a “probability distribution curve” representative of n answers with an area under the graph of n. Given 2 ”population curves” and integrating the absolute distances between them over the valid likert responses gives a distance between the populations as required by the statistical resampling. This technique has several major advantages. Two participants giving expressed efficacies of 5 and 6 will be much closer than responses of 1 and 9. A straight histogram would show them as equally distant. It also quantifies the difference between efficacies of 5 expressed at different confidences. 150
Graham Fletcher and Marie Cahillane 2.2.2 Hypothesis 2: Systematic reviews produce a narrower range of opinion than those formed by participants only exposed to primary material If exposure to a systematic review had an effect on opinion and more specifically that the opinions of participants become more consistent is tested. This prediction is based on the premise that if the participants find the evidential basis of a formalised review compelling then their opinions should migrate toward the findings of that review and thus become more consistent. Again the boot strapping approach is used in the analysis of this data. However in answering this question instead of looking at the absolute differences between the graphs we compare several measures of statistical deviation ( Standard deviation, Average deviation and Median average deviation). The distance measure being the sum of these deviation measures. 2.2.3 Hypothesis 3: Exposure to a professionally completed systematic review increases the perceived confidence participants have in their opinions This hypothesis relates to the effect of a systematic review on the strength of opinion and tests whether participants are more confident in their opinions after viewing a systematic review. I.e. Is the population of confidences after exposure to a systematic review different to the population of confidences before exposure? The data collated to test this hypothesis is prepared and analysed using the same boot strapping techniques, but applied solely to the expressed confidences. In this case the distance measure is the same three measures of statistical deviation but applied only to the expressed confidence. Table 1: The standard deviations implied by expressed certainties Expressed certainty 1 2 3 4 5 6 7 8 9 Implied normalised standard deviation 2.997 1.347 0.605 0.272 0.122 0.055 0.025 0.011 0.005 Implied standard deviation over 9 point likert scale 26.97 12.12 Figure 1: The probability density functions for an estimate of 5 based on expressed certainties of 4 for the flattest curve up to 8 for the steepest curve, certainties of 1 to 3 are not shown as they are indistinguishable from 4, 9 is also omitted as it is functionally equivalent to 8 151 5.45 2.45 1.10 0.49 0.22 0.10 0.04
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Proceedings of the 5th European Con
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Cont
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Preface The 5th European Conference
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Dr Jorge Ricardo da Costa Ferreira
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LSE while working at the British St
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Minna Isomursu, PhD, is a research
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Elmarie Papageorgiou is a Senior Le
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Information and Knowledge Managemen
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João Agrela et al. So modeling bec
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João Agrela et al. ETRS 89 project
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João Agrela et al. (accidents) tha
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Figure 8: Final model João Agrela
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João Agrela et al. outputs and res
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System Integration Model Based on O
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Kamsuriah Ahmad, Azwan Mohamed and
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Kamsuriah Ahmad, Azwan Mohamed and
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Building Virtual Communities on top
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Cuneyt Gurcan Akcora, Barbara Carmi
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References Cuneyt Gurcan Akcora, Ba
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Karen Anderson, Göran Samuelsson a
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Developing a Model for Assessing IT
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Mohammad Abooyee Ardakan et al. Fig
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Mohammad Abooyee Ardakan et al. cor
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Investigating the Relationship of M
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Mohammad Abooyee Ardakan, Babak Soh
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Table 3: Goodness of fit indices Mo
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Evaluation of ICT Investment in Hea
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Figure 1: Search strategy for syste
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A. Arviansyah, Egon Berghout and Ch
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Managerial A. Arviansyah, Egon Berg
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The Uses of Business Outcomes for I
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Dawit Asmelash Measurability of th
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Dawit Asmelash affected business pr
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Business Units HR Sales Step 2 Iden
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Dawit Asmelash In this case, at thi
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Data Governance in Practice: The SM
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Carolyn Begg and Tom Caira Our rese
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Carolyn Begg and Tom Caira In the f
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Carolyn Begg and Tom Caira Decision
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Carolyn Begg and Tom Caira SMEs nee
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Fergal Carton et al. The language u
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Fergal Carton et al. 2008) to abstr
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Payment integration (payment produc
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Fergal Carton et al. Kim,C., Mirsob
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Walter Castelnovo devised for, have
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Walter Castelnovo the potential ris
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Walter Castelnovo allow the informa
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Page 125 and 126: Evaluating the Role and Potential o
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Page 131 and 132: Renata Paola Dameri STRATEGIC GOALS
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Page 135 and 136: ICT and PA: A Marriage Made in Heav
Page 137 and 138: Maria Concetta De Vivo, Alberto Pol
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Page 149 and 150: References Jan Devos, Hendrik Van L
Page 151 and 152: Luciana Duranti and Adam Jansen Dig
Page 153 and 154: Luciana Duranti and Adam Jansen A
Page 155 and 156: References Luciana Duranti and Adam
Page 157 and 158: Kate Dymoke-Bradshaw and Ann Brown
Page 165: Graham Fletcher and Marie Cahillane
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Page 171 and 172: Graham Fletcher and Marie Cahillane
Page 173 and 174: How Open Source Software Products:
Page 175 and 176: Chiara Friso, Valentina Lenarduzzi,
Page 179 and 180: Il giornale elettronico (Trivella,
Page 183 and 184: Yuwanuch Gulatee and Barbara Combes
Page 185 and 186: Table 1: Wholly online participants
Page 191 and 192: Florian Hamel, Thomas Ph. Herz, Fal
Page 199 and 200: Martin Hill, John Salt and Graham F
Page 205 and 206: Transforming Information to Knowled
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Page 215 and 216: 3. Theoretical discussion 3.1 Green
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Grant Howard and Sam Lubbe 3.6 Envi
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Grant Howard and Sam Lubbe Easterbr
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Evaluating ICT Based Services for O
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Minna Isomursu and Marja Harjumaa t
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4.2 Challenges with research method
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Minna Isomursu and Marja Harjumaa b
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The Geography of Criminality - Info
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Intelligence Paulo João, Jorge Fer
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4.1 Crime hot-spots Paulo João, Jo
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Paulo João, Jorge Ferreira and Jos
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Mobile Virtual Network Operator Inf
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Hallur Leivsgarð Joensen and Torbe
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Björn Johansson and Linda Bergkvis
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A Fair Partnership Model by Sharing
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Ghassan Kbar 2. Partnership and VC
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Ghassan Kbar Entering state of the
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Ghassan Kbar Saudi-chamber, (2011)
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Ghassan Kbar and Abdul Aziz AlDusar
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Dong-Hyun Kim and Hyun-Joo Kim We i
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Dong-Hyun Kim and Hyun-Joo Kim As a
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Dong-Hyun Kim and Hyun-Joo Kim We m
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Erdem Kirkbesoglu and Gizem Ogutcu
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Portfolio Management in Non-Profit
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Bert Kleersnijder and Egon Berghout
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Why is an IS Project Late? - A Case
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2. The project 2.1 Background and r
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Juha Kontio Phase In stallation Ope
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Table 2: Identified reason of the p
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Juha Kontio There are also reasons
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2. Performance review model for NDP
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Misoo Kwon Among the review indicat
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Type Average time saved Misoo Kwon
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Luigi Lavazza In conclusion, when a
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Luigi Lavazza The former can be de
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Luigi Lavazza For each process, we
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6. Conclusions Luigi Lavazza When e
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eBusiness Model Design and Evaluati
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Monika Magnusson categories of busi
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Monika Magnusson Business Model Ele
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5.2 Guiding questions Monika Magnus
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Monika Magnusson Hay, M. and Kamsha
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Monika Magnusson and Marie-Therese
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4.3 Goals at the project level Moni
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Alignment in Enterprise Architectur
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Thanos Magoulas, Aida Hadzic, Ted S
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3.4 Infological alignment Thanos Ma
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Panagiotis Manolitzas et al. to Gov
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Panagiotis Manolitzas et al. Anothe
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Table 1: Criteria weights and satis
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Panagiotis Manolitzas et al. Satisf
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Understanding the Impact of Knowled
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Magdeline Mashilo and Tiko Iyamu Ac
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Magdeline Mashilo and Tiko Iyamu Cu
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Magdeline Mashilo and Tiko Iyamu Th
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Magdeline Mashilo and Tiko Iyamu Ho
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2. Literature review 2.1 The Batik
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Nor Laila Md Noor and Ariza Nordin
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Nor Laila Md Noor and Ariza Nordin
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Isolated Strategies Nor Laila Md No
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HOT-fit Evaluation Framework: Valid
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Maryati Mohd Yusof In order to vali
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Maryati Mohd Yusof Further framewor
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Maryati Mohd Yusof Kaplan, B., and
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Gunilla Myreteg social context (Orl
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Gunilla Myreteg needed routine. Ano
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Gunilla Myreteg used, which in turn
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Environmental Scanning Practice of
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Roslina Othman and Siti Rohimi Hame
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5. Conclusion Roslina Othman and Si
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Understanding Financial and non-Fin
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Elmarie Papageorgiou and Herman de
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Type of non-financial information a
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Shabnam Pasandide, Abbas Toloie Esh
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Can eGovernment Systems Bridge the
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Higher quality of services Elias Pi
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Elias Pimenidis, Lazaros Iliadis, a
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Elias Pimenidis, Lazaros Iliadis, a
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Contributions to the Measurement an
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Rui Alexandre Pires and Maria do C
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assessment Rui Alexandre Pires and
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Rozilawati Razali and Mahamsiatus K
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Figure 1: Research design 3.2 Phase
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David Sammon, Tadhg Nagle and John
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Teresa Santos, Ségio Freire and Jo
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Reflections on the Role of the Lect
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3. Reflective practice Elsje Scott,
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Elsje Scott, Peter Weimann and Nata
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Elena Serova traditional ERP manage
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Elena Serova Increase in percentag
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9. Conclusion Elena Serova At prese
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Sharina Tajul Urus, Alemayehu Molla
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4.2 Description of feral systems Sh
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Sharina Tajul Urus, Alemayehu Molla
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Type Sharina Tajul Urus, Alemayehu
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Open Source Disease Control Softwar
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Jose Teixeira and Reima Suomi do no
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Jose Teixeira and Reima Suomi from
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Jose Teixeira and Reima Suomi Futur
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Value of Knowledge Management Syste
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Nelly Todorova Human capital repres
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Nelly Todorova IT value from pure f
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Nelly Todorova unique and inimitabl
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Accountability and the Reconstructi
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Geert-Jan van Bussel cluding the pr
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Geert-Jan van Bussel (e.g., Wijnhov
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Geert-Jan van Bussel complementary,
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The Question of Selecting Appropria
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Bartosz Wachnik We can discern two
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Bartosz Wachnik Table 1: Criteria o
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Tasks in an ERP implementation proj
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Bartosz Wachnik Tests’ recapitul
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PhD Research Papers 501
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Information Systems for Production
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Denisa Ferenčíková 3. Correctly
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Denisa Ferenčíková method requir
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Denisa Ferenčíková mentioned typ
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1.2 Service oriented architecture A
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Antonio Hidalgo Landa, Ian Owens an
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Hesbon Nyagowa, Dennis Ocholla and
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The Specification of Competency Que
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Yadary Ortega-González et al. Figu
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Yadary Ortega-González et al. merg
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Yadary Ortega-González et al. Comp
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Yadary Ortega-González et al. Lysa
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Michal Pivnička to (Collis 2008),
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Figure 2: List of scorecards window
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Michal Pivnička A Custom view (fig
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Michal Pivnička necessary calculat
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Michal Pivnička combines two or mo
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Michal Pivnička When any informati
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Challenges in Business Case Develop
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Bart-Jan van Putten, Franziska Brec
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Bart-Jan van Putten and Markus Schi
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Mohamad Norzamani Sahroni and Marya
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Table 1: Type of medical error Moha
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Non Academic Papers 577
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Management of Waiting List for Surg
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Rita Cristóvão and Pedro Gomes In
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Figure 4: Circuit of the patient in
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Rita Cristóvão and Pedro Gomes Fi
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Rita Cristóvão and Pedro Gomes ne
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Rita Cristóvão and Pedro Gomes Fi
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Rita Cristóvão and Pedro Gomes T
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Work in Progress Papers with Poster
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Information Management Enabling Col
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Maria Bergenstjerna Data will be co
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2. Methodology Giovanni Camponovo R
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Giovanni Camponovo separate concept
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Giovanni Camponovo A graphical summ
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Giovanni Camponovo 3.5 Motivations
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Giovanni Camponovo Butler, B., Spro
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An Enterprise Ontology Approach for
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Bernardo Gomes, André Vasconcelos
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Soudabeh Khodambashi and Maryati Mo
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National ICT Strategy and its Imple
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Ermelinda Kordha and As. Kozeta Sev
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João Soares, José Tribolet and An
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João Soares, José Tribolet and An
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