Information and Knowledge Management using ArcGIS ModelBuilder

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Martin Hill, John Salt and Graham Fletcher automatically conveying detailed pictures are not always beneficial. In particular, attempting to build single universal pictures across large organisations can heavily distract individuals from their tasks, create vulnerabilities to exposure, increase the logistics load, reduce the agility of the organisation to locally adapt to changing picture needs, and offers little practical benefit. It can be tempting to assume that improving information technology will solve problems with information sharing; we hope we have shown that in some circumstances more communications technology does not only not improve situation awareness but can detract from it. By describing characteristics about information sharing, information managers and exploiters can make a more informed decision about the suitable extent and form to which that information should be shared and aggregated. References Adler R, Ewing J, Taylor P (2008), Citation Statistics, Joint Committee on Quantitative Assessment of Research, http://www.mathunion.org/fileadmin/IMU/Report/CitationStatistics.pdf Endsley, M.R. (1995) Toward a theory of situation awareness, Human Factors 37 Checkland P (1981) Rich Pictures, Soft Systems Methodology Hill, M and Salt, J (2010) Life & Death Decisions using Sparse, Unreliable Evidence, ECIME 2010 proceedings, http://www.martinhill.me.uk/pubs/LifeAndDeathWithSparseUnreliable.pdf Kirke, Charles (2009) Group Cohesion, Culture and Practice Armed Forces & Society, http://afs.sagepub.com/content/35/4/745.abstract Kirke, Charles (2004) Organisational Culture - The Unexpected Force Journal of Battlefield Technology Kramer, J Cohesion and Disintegration: American Forces in Vietnam, Strategy & Tactics #25 Klein, G (1999) Sources of Power: How people make decisions, MIT Press Reason J (2000) Human error: models and management BMJ Paul M. Salmon; Neville A. Stanton; Guy H. Walker; Daniel P. Jenkins; Laura Rafferty (2010) Is it really better to share? Distributed situation awareness and its implications for collaborative system design. Theoretical Issues in Ergonomics Science. Stanton, McIlroy (2010) Designing mission communication planning: the role of Rich Pictures and Cognitive Work Analysis. Theoretical Issues in Ergonomics Science Jay A, Lynn J et al (1980) Yes Minister, Series 1 Episode 6 “The Right to Know”. BBC Television. 188
Transforming Information to Knowledge is the Current Platform for a Successful Political Campaign Vered Holzmann and Ben Holzmann Tel Aviv University, Tel-Aviv, Israel veredhz@post.tau.ac.il benami1@post.tau.ac.il Abstract: This paper utilizes the data management systems of a political campaign to present a process that transforms structured and unstructured information into knowledge and discusses the various aspects of such a process in the world of political campaigns. A political campaign is a unique type of project that runs normally for a period of several months. It peeks on Election Day, and at the end of the day the project is abruptly terminated and its success, or its failure, is officially published. The project is considered a success if the candidate who is its sole customer has obtained the majority of the votes casted. An official database that contains basic information about the eligible voting electorate is issued to every contestant at the beginning of the campaign. This original database is enriched during the project with information related to the voters, volunteers, budgets, events and analyses results thus providing the corner stone for the knowledge structure supporting most of the project’s managerial decisions. In the quest to understand the nature of knowledge management and its roots we limited our research to the specific arena of political campaigns, where we investigated the impact of the quality of the original data on the desired knowledge management tools derived from the various data analyses. Another issue we confronted dealt with the procedures of learning associated with the production of political campaign related knowledge, where we adopted the concept that knowledge management is a continuous and dynamic process which analyzes archived data from debriefings of past events in order to better understand current trends and incidents for the purpose of supporting a constant improvement of managerial decision making habits (Neef, 2005). We further maintain that the efficiency of the knowledge management contribution to the decision making procedures depends heavily on the accuracy of the original debriefing process of every single incident (Roth and Kleiner, 1998). The paper focuses on the analysis of a specific type of project, using a detailed description of a case study to present the nature of its unique characteristics and associated various problems. We hope that our research may contribute a minute addition to the body of knowledge of the two disciplines: information management and project management, and might encourage managers of political campaigns to instigate event debriefings and develop effective learning procedures in order to create a knowledge structure that could be utilized in future campaigns. Keywords: knowledge management; political campaigns; clustering; learning; 1. Introduction The notion that an election is the modern democratic method, by which the majority of the members of any community exercise their power to choose their governing representatives and secure their preferences, is a fairy tale. In reality an election is decided by those who actually bothered to go to their assigned polling locations and actually casted their vote. Normally only a part of the eligible voting body plays the game. Thus, the outcome of the election represents the preferences of the majority of merely one segment of the total population, the segment that actually voted. Hence, every political campaign is in essence a fast track project designed to achieve two objectives. The first objective is to convince as many eligible voters as possible, that the particular candidate shares most of their views, and will best represent their preferences while in office. The second objective is to collect and maintain a dynamic database containing all the necessary information to mobilize the entire body of team members, during Election Day, to persuade every supporter to go to his pre assigned polling station and actually cast his vote for the candidate. A political campaign is extremely complicated to manage due to its rigid schedule, unstable budget frame, but mostly because of the nature of its employees that are traditionally volunteers. Only a few professionals can be hired to participate in the project, due to widespread constrains imposed on the project’s financing system which depends mostly on donations that are controlled by particularly rigid laws. While these chosen ones are assigned to perform unique political and managerial tasks, the bulk of the legwork is carried out by the volunteers who depend on accurate detailed information identifying the individuals they must convince to perform their voting duty. Political campaigns are driven by three engines, the density of the related media, the determination of the project’s foot soldiers and the quality of the project’s information management system. Alas, this paper investigates only the issue of the information management aspects and their part in the knowledge structure that provides the managerial tools for the campaign management. 189
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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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Walter Castelnovo Risk assessment,
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Embedding Human Values Into Informa
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Sunil Choenni, Peter van Waart and
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Evaluating the Role and Potential o
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Renata Paola Dameri For these reaso
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Final assessment and evaluation. Re
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Renata Paola Dameri STRATEGIC GOALS
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Renata Paola Dameri To clearly com
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ICT and PA: A Marriage Made in Heav
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Maria Concetta De Vivo, Alberto Pol
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Jan Devos, Hendrik Van Landeghem an
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References Jan Devos, Hendrik Van L
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Luciana Duranti and Adam Jansen Dig
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Page 157 and 158: Kate Dymoke-Bradshaw and Ann Brown
Page 165 and 166: 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
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Page 207 and 208: Vered Holzmann and Ben Holzmann Tot
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Page 225 and 226: 4.2 Challenges with research method
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Page 231 and 232: Intelligence Paulo João, Jorge Fer
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Björn Johansson and Linda Bergkvis
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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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Mohamad Norzamani Sahroni and Marya
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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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