Information and Knowledge Management using ArcGIS ModelBuilder

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Fergal Carton et al. There are both practical and theoretical aspects to the relevance of the framework. Firstly, it facilitates discussion of the nature of information required by consumers and merchants and the associated value they may place on the automation and visibility afforded by payment integration. It can be understood, for example, that visibility of settlement information requires a level of real-time interaction with the funding accounts which will have significant technical design implications. By the same token, budget visibility could be extremely valuable for consumers but may equally imply sophisticated design scenarios. Where settlement is itself a virtual process (for example, via a PayPal account), this visibility is provided automatically and is of significant value for consumers, so much so that they are prepared to pay a hefty premium for the service. The visibility provided by traditional credit card networks for both consumers and merchants is significantly less automated, but merchants will sacrifice margins for the convenience afforded to consumers, who in turn are prepared to pay for the line of credit. Secondly, the interfaces between the quadrants, represented by the arrows, are points where integration decisions may be conceptualised. The use of cash versus direct debits versus online payment can be positioned along the payment integration axis. The question of mobile payments involving settlement from a bank account, credit card account or carrier account could also be represented on this axis. Crucially the related visibility of the payment transactions may be discussed, where the consumer perception of value of a given mobile payment scenario may be classified in terms of control and visibility. Thirdly, the framework provides an overview of the contribution of payment integration to the value proposition to buyers. On the one hand, mobile payment solution providers offer convenience based services to consumers, and, on the other, consumers have control and visibility requirements related to planning for and making payments. The framework allows for the consideration of both these dimensions, and in so doing, provides a unique approach to the evaluation of integration decisions. The framework is meaningful for the players in the payments ecosystem: financial institutions, payment solution providers, mobile network operators and, ultimately, consumers. Using the framework, the evaluation of innovative payment technologies can take place in the context of actual customer value. The framework is developed to conceptualise the driving forces in the mobile payments industry, in that sense it builds on the existing body of theoretical work (for example, Au and Kauffman, 2008; Ondrus et al., 2005, Mallat, 2007, and Kim et al., 2010). Furthermore, it is felt that the framework brings to center stage the notion of customer value dicussed in such literature. Further research on this topic should entail validating the framework empirically on a range of different emergent and traditional payment scenarios. Such research should aim to clarify the collaboration decisions for players in the market for mobile payments. On the basis of these collaboration decisions, real progress in the provision of consumer oriented payment services that leverage the “anytime, anywhere” visibility and control of the mobile phone might be envisaged. Acknowledgements This work was carried with the support of Copenhagen Finance IT Region (www.cfir.dk) and was funded by the Danish Enterprise and Construction Authority grant number ERDFH-09-0026. Any opinions, findings, interpretations, conclusions or recommendations expressed in this paper are those of its authors and do not represent the views of the funding agencies. References Au, Y.A. and Kauffman, R.J. (2008), The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application, Electronic Commerce Research and Applications, (7), pp. 141–164. Christensen, M. (1997), The Innovator’s Dillemma, Harvard Business School Press, Cambridge, MA. Contini, D., Crowe, M., Merritt, C., Oliver, R. and Mott, S. (2011), Mobile Payments in the United States, Mapping Out the Road Ahead, in proceedings of the Mobile Payments Industry Workshop, Federal Reserve Banks. Dahlberg, T., Mallat N., Ondrus, J. and Zmijewska, A. (2008), Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2): pp. 165-181. Dahlberg, T. and Mallat, N. (2002), Mobile payment service development-managerial implications of consumer value perceptions, Citeseer. Glaser, B.G. (1978), Theoretical sensitivity. Mill Valle: Sociology Press. Gumpp, A. and Pousttchi, K. (2005), The ‘‘mobility-M’’ framework for the application of mobile technology in business processes, GI Jahrestagung Informatik, Bonn, Germany, September. Hedman, J. and Kalling, T. (2003), The Business Model Concept: Theoretical Underpinnings and Empirical Illustrations, European Journal of Information Systems, 12(1), pp. 49–59. Kauffman, R.J. and Walden, E. (2001), Economics and electronic commerce: survey and directions for research, International Journal of Electronic Commerce, 5(4), pp. 5–116. 90
Fergal Carton et al. Kim,C., Mirsobit, M. and Lee, I. (2010), An empirical examination of factors influencing the intention to use mobile payment, Computers in Human Behavior, 26, pp. 310–322. Lee, C.P., Warkentin, M. and Choi, H. (2004), The Role of Technological and Social Factors on the Adoption of Mobile Payment Technologies, proceedings of the 10th Americas Conference on Information Systems (AMCIS), New York, August, pp. 2781-2786. Mallat, N. (2007), Exploring consumer adoption of mobile payments - A qualitative study, The Journal of Strategic Information Systems, 16(4), pp. 413-432. Mallat, N., M. Rossi, and V.K. Tuunainen (2004), Mobile banking services, Communications of the ACM, 47(5), pp. 42-46. Ondrus, J., Camponovo, G. and Pigneur, Y. (2005), A Proposal for a Multi-perspective Analysis of the Mobile Payment Environment, proceedings of the International Conference on Mobile Business, ICMB’05. Ondrus, J. and Pigneur, Y. (2006),Towards a holistic analysis of mobile payments: a multiple perspectives approach, Electronic Commerce Research and Applications, 5(3), pp. 246-257. Ondrus, J. and Pigneur, Y. (2007), An assessment of NFC for future mobile payment systems, proceedings of the International Conference on Mobile Business (ICMB’07),Toronto, July, pp. 43-53. Osterwalder, A., Pigneur, Y. and Tucci, C.L. (2005), Clarifying Business Models: Origins, Present, and Future of the Concept, Communications of the Association for Information Systems, 16(1), pp. 1-25. Plouffe, C.R., Vandenbosch, M., and Hulland, J. (2001), Intermediating technologies and multi-group adoption: A comparison of consumer and merchant adoption intentions toward a new electronic payment system, The Journal of Product Innovation Management, (18), pp. 65-81. Pousttchi, K. (2003), Conditions for Acceptance and Usage of Mobile Payment Procedures, conference proceedings of the Second International Conference on Mobile Business, Vienna, pp. 201-210. Webster J. and Watson R.T. (2002), Analyzing the Past to Prepare for the Future: Writing a Literature Review, MIS Quarterly, 26(2), pp. xiii – xxiii. 91
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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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Page 83 and 84: Dawit Asmelash Measurability of th
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Page 131 and 132: Renata Paola Dameri STRATEGIC GOALS
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Kate Dymoke-Bradshaw and Ann Brown
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Graham Fletcher and Marie Cahillane
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How Open Source Software Products:
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Chiara Friso, Valentina Lenarduzzi,
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Il giornale elettronico (Trivella,
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Yuwanuch Gulatee and Barbara Combes
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Table 1: Wholly online participants
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Florian Hamel, Thomas Ph. Herz, Fal
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Martin Hill, John Salt and Graham F
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Transforming Information to Knowled
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Vered Holzmann and Ben Holzmann Tot
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Vered Holzmann and Ben Holzmann kno
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Vered Holzmann and Ben Holzmann Prz
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Grant Howard and Sam Lubbe High-lev
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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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The Specification of Competency Que
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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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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 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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