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Fig. 1 Spatial Unit Fig. 3. By whom Fig. 5. Objectives Fig. 7. Behaviour Table 3. Service Classification Results 283 Fig. 2 Spatial facilities Fig. 4. For whom Fig. 6. Activities Fig. 8. Commonality
4. CONCLUSION This study empirically evaluated the appropriateness of a Uservice typology by applying 228 unit U-services to Jeong’s typology for the categorization of the services. As compared to the previous studies of u-service typologies which regarded it as meaningful to develop a theoretical framework for classification of U-services, it is important to note that this study found the problems with the present typology via empirical heuristic application and identified problem areas. Jeong’s typology was found to have high exhaustiveness and empirical workability when the system was analyzed from empirical and theoretical points of view. Since u-services are variable according to service categories, they can be newly developed or combined when the needs for them increase in future with technological or environmental changes. The high empirical workability of the typology used in this study can be explained by the fact that there was a consensus of 85.5% among experts in U-services when they categorized the services using the typology. High empirical workability helps reduce confusion in a process of service development as it allows U-services to be accurately classified. The results from an empirical analysis suggest that the classification criteria should be defined more clearly so that empirical workability is enhanced. However, Jeong’s U-service typology needs to be improved in terms of mutual exclusiveness, parsimony and theoretical fruitfulness. Such typology provides a foundation in building a U- Eco City and must be organized for extension to broadband services. This study is significant in that it attempted empirical and theoretical analyses of a U-service typology and came up with ways to evaluate and improve the typology, but on the other hand its research methodology was limited to qualitative approaches. In order to recover this limitation, future studies will need to build an improved typology through a quantitative analysis of contents. 5. ACKNOWLEDGMENTS This work was partially supported by Office of Research Affairs (2010-7-0571) at Yonsei University, Seoul, Republic of Korea. Authors also appreciate help and support of Ms. Hahyun Kim and Dr. Minjung Lee in preliminary analysis of this study. This research was partially supported by a grant (07High Tech A01) from High tech Urban Development Program funded by Ministry of Land, Transportation and Maritime Affairs of Korean Government. Preliminary results of this study have been reported, in Korean, in the Journal of Korean Society of IT Services, 11(1), pp. 325-340, in March 2012. 6. REFERENCES [1] Ministry of Land, Transport and Maritime Affairs, U-Space Construction Technology, 2010 [2] H.J. Woo, J.H. Lee, S.Y. Park, "Proposing User-Oriented u- Service Classification by Ubiquitous Characteristic", Journal of the Korea Society of IT Services, V.10 N.2, pp.119~139, 2011 284 [3] H. J. Roh, "Analysis on the u-City Conceptual Design Factors from Ubiquitous Computing Technology", Master Thesis, Yonsei University, 2005 [4] J. C. Kwon, "A study on Law and Institution environment for Development of U-city", National Information Society Agency (http://www.nia.or.kr/), 2006 [5] H. M. Oh, A study on Service Convergence Roadmap for Ubiquitous Environment, National Information Society Agency (http://www.nia.or.kr/), 2006 [6] K. S. Jeong, T. H. Moon, S. Y. Heo, "A Study on U-City Service Classification and the Service Framework for the Standardization of U-City Service", Korea Planners Association ,V.44, N.3, 2009 [7] Gu Kim, "A study on U-City service priorities and the spread strategy", JOURNAL OF KOREAN ASSOCIATION FOR REGIONAL INFORMATION SOCIETY, V11 No. 1, pp 127-148, 2008 [8] S. J. Ahn, D. H. Oh, "A Study on the Classification Criteria of U-city based on the Characteristics of U-city Services", Journal of The Korean Urban Management Association v.23 n.3, 2010 [9] W. S. Jeong, B. S. Cho, "A Study on Priorities of u-City Services Using Weighted Model", Korea Spatial Planning Review, V52 N.3,pp 93-214, 2007 [10] J.I. Oh, "Concept, Vision, and Vitalization Strategies of U- City", Journal of the Korean Information Science Sociaty, V.23. N.11, pp 21-26, 2005 [11] J.G. Lee, H.S. Uk, "A Study on the diffusion and advancement of U-city service model", National Information Society Agency(http://www.nia.or.kr), 2006 [12] C.S. Leem, E.J. Yu, B.G. Kim, N.S. Baek, Y.D. Son, "u-City PIPE Model", ITR report, IT Research & evaluation, 2008 [13] Y. H. Chun, "The Diversity of Policy Tolls: Issues and Evaluations of Tool Classifications", Journal of Governmental Studies, V.13 N.4, pp. 1-37, 2007 [14] K.S. Jeong, T.H. Moon, S.Y. Heo, "A Study on U-service Pool Evaluation and SRM Template for Development of U- City SRM", korea Planners Association, V.45 N.13, 2010 [15] W.S. Jeong, B.S. Jo, H.S. Jo, “U-City Industry and Service Classification Trends”, Korea Electronics Technology Institute, http://www.eic.re.kr, 2006.08, [16] Yong-Sik Lee, "Policy Instrument Typology and Applicationon Sports for All Policy , Korea Sport Science Institute, Korean Journal of Sport Science, , Vol. 21, No. 3, 1431-1440 2010. [17] J.W. Lee, S.H. Baik, C.H. Lee, "Building an Integrated Service Management Platform for Ubiquitous Ecological Cities", IEEE Computer Society, pp.56-63, 2011
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2012 ALBANY, NEW YORK UNITED STATES
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Foreword The 6 th International Con
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Table of Contents Forward .........
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Session 10: ICTs & Governance Trans
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o Revival of Farming Community with
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International Steering Committee Jo
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Jim DAVIES, Computing Laboratory, U
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Session 1 Open Government Data
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the combination of their moral sent
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involve the creation of a Network o
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approach [28] to expose indicators
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4. IMPLENTING PAR In order to come
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conclusions that might arise rom th
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6.3 Large Scale Implementation In r
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Implementation Framework for Open D
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2) Usage: Assessed by quantifying t
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Increasing Kenyan Open Data Consump
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insight into available data resourc
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New Perspectives for Electronic Gov
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Not without reason therefore that t
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Another principle adopted by this s
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access to public information, chang
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Open Government 2.0: Citizen Empowe
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As a third finding, we also found a
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Session 2 E-democracy & Participati
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two polarized (optimistic or utopia
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through aggregating, shaping, and c
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in-depth expert interviews, and wer
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government made of citizens’ cont
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[8] Putman, R.D. 1994. Making Democ
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The third stream of studies reviewe
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interests, gaining access to inform
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2. THEORETICAL FOUNDATION 2.1 The P
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epresentatives from the three main
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While letters to the editor could b
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person. Table 5: Public sphere char
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[32] Yang, S., H. Lee, and S. Kurni
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In March 2000, just a couple of mon
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society the gap will close [2]. The
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A New Roadmap for Next-Generation P
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needs and the activities of policy-
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[18] Moss, S., (2010). Policy Model
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2.1. National digital inclusion exp
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advanced initiatives specifically d
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involved later [22]. Several instit
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among lecturers and students parall
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2. COMPARATIVE E-GOVERNMENT IN LATI
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governments can innovate or be disc
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2. E-GOVERNMENT AS IS 2.1. E-Govern
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ankings on the formation of nationa
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Framework for Useful Transparency W
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are doing a good job overall in reg
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The Circular Continuum of Agencies,
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continue to rely on dial-up Interne
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this time the authors continue to w
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government agencies should consider
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The critical success factors for we
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include customers and competitors,
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Websites or columns for MFWs In thi
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According to our investigation, the
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Construction of Inter-regional Publ
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The Development of Public Smart Pho
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Stage Description 1 st stage (Simpl
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Understanding Citizens’ Perceptio
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performance compared to those provi
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Session 5 Information Sharing, Mode
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arising as a result of these two bi
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forms for the system. At the same t
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further investigation of the relati
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5.3.10 Commitment Both personal and
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law. Virginia Journal of Internatio
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available to others” [5]. Informa
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conflict around information sharing
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for understanding information polic
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primarily on the information flows
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On Public Service Provision Informa
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employs workflow management technol
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o Information. Represents any infor
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common documents repository at the
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Figure 15. Full model of Passport I
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142
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policies to prevent government agen
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ecause the majority of the shared i
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A Patent System Ontology for Facili
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uilt on top of the semantics of RDF
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dynamically derive relevancy based
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Figure 6. Cross-‐Reference betw
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Category II: After identifying some
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[8] De Nicola, A., Missikoff, M. an
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oral option, it also allows for a m
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mapping of citizens would ensure un
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Here the authors wish to extend the
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http://www.ecp.gov.pk/Reports/SPStr
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will enable to assess and confront
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The underlying DeLP process is as f
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Preparing for Digital Curation Gove
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semester hours. Nine of the forty-f
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REGNET: Regulatory Information Mana
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Search Terms/ Concepts References D
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4. COMPARATIVE STUDIES OF REGULATOR
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1105.4 [6] Content of Section 1105.
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Pollution Prevention Guide for Vehi
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From Information-Poor to Informatio
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To address the divide, specific gov
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ICT for Development and the MuNet P
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competencies and skills, contributi
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ICT Policy in Africa - A Comparativ
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essential and necessary to guide th
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Kenya it is the minister for Inform
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of existing Public Internet Access
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the policy process e.g. formulation
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Laggards or Victims of Socioeconomi
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Figure 3. Facilities & Services Enj
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Promoting user uptake of e-governme
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It was also decided that it was nec
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Session 8 Measurement 1
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technology (IT) projects by governm
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Gap = 5; The weak and unreliable In
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6. ACKNOWLEDGEMENT We are grateful
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aspects are hardly discussed as the
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service level agreements. The inter
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concensus of all participants, the
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Furthermore, it is understood from
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Mobile Technologies on the Internet
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of mothers. Based on this reason, w
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5.1.4 Precedence Plots Based on com
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3 indicators are similar but not th
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Latitude 10°�S 9°�S 8°�S 7
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7. CONCLUSION According to ORDIT an
Page 268 and 269: include but not limited to: payment
Page 270 and 271: Categories Only XSS (%) Table 2: Di
Page 272 and 273: From table 3, it can be deduced tha
Page 274: Session 9 Social Media in Governmen
Page 277 and 278: 1. What kind of social media servic
Page 279 and 280: 4.2.1 Facebook Usage Figure 3. Perc
Page 281 and 282: Government Crisis Communication on
Page 283 and 284: estoration theory. He termed it as
Page 285 and 286: Table 3. Strategies for Pre-crisis
Page 287 and 288: accounts, among which seven message
Page 289 and 290: information in the crisis event sta
Page 291 and 292: Government Official Microblogs: An
Page 293 and 294: It is worth mentioning that, while
Page 295 and 296: Managing Chinese Government Microbl
Page 297 and 298: due to their tremendous influence,
Page 299 and 300: 3. ACKNOWLEDGEMENT This research is
Page 301 and 302: 3) Established year: to specify the
Page 303 and 304: Figure 6. Language used in Hong Kon
Page 306 and 307: E-Government and Transformation of
Page 308 and 309: and domestic as well as internation
Page 310 and 311: 4.6 Computerisation of Railway Tick
Page 312 and 313: abysmally low (2.25). In addition t
Page 314 and 315: Evaluating and Assessing a Typology
Page 316 and 317: Exhaustiveness indicates that all c
Page 320 and 321: SUPPLEMENTARY TABLE 1. RESULT OF SE
Page 322 and 323: Explaining the eGovernment Paradox:
Page 324 and 325: eGovernment services to a large ext
Page 326 and 327: policy agenda, as Heeks [10] says,
Page 328 and 329: Implementation Plan’s outcomes an
Page 330 and 331: Conference on eGovernment (pp. 90-9
Page 332 and 333: Investigating the Relationships bet
Page 334 and 335: hybrid or authoritarian regime. Bov
Page 336 and 337: Technologies, Tools and Web 2.0 in
Page 338 and 339: with resources, peers and experts w
Page 340 and 341: cluster were: Court Clerks; Court,
Page 342 and 343: (8 questions) and the third subpart
Page 344 and 345: http://ux.brookdalecc.edu/governanc
Page 346 and 347: the examination of the 311 program
Page 348 and 349: 3. CASE STUDY METHOD This study use
Page 350 and 351: discuss departmental performance at
Page 352 and 353: or laptop computers. Internet conne
Page 354 and 355: [2] Anavitarte, L. and Tratz-Ryan,
Page 357 and 358: A Literature Review: IT Governance
Page 359 and 360: Interviewees Useful? Table 3. Inter
Page 361 and 362: Assessment of Success Factors of e-
Page 363 and 364: In view of different theoretical ap
Page 365 and 366: approximate figure of 60% of intern
Page 367 and 368: difference between its priority and
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Computer Supported Contractor Selec
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(2) conduction of the public auctio
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E-Government Success Factors in the
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creating different incentives and p
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American and the Caribbean Institut
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* Note: A 7-points Likert scale was
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showed to be useful, for collecting
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Public CIO, Figurehead or Decision-
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4.2 Operative CIO The Operative CIO
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Session 12 Implementation & Impact
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NYSED is responsible for collecting
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considered markers that are able to
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many of the MDGs. The direct impact
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strongly believed that local govern
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Goal Variables Measurements 2 3 Com
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Hypothesis Variables Endogenous Exo
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[16] Joreskog, K.G., and Sorbom, D.
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GoN has addressed the challenge to
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Figures 6 and 7. Computer classes a
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ICT-enabled Delivery of Maternal He
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3. E-HEALTH 3.1 ICTs and Health Com
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Chart 1 [40] GHANA - Total Telephon
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change their behaviour, improve the
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activities such as the MoTeCH partn
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If We Build it Will They Come? A Mi
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The methodology contains inherent l
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information about their broadband s
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Session 13 E-democracy & Participat
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attempt to influence future behavio
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Evidence shows that cognitive facto
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success factors for eParticipation[
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structure of the forum as well as t
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government as well as augmenting di
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Figure 1: Message content 4.3 Messa
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Figure 6: Associated levels 4.10 At
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improve the government management e
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Session 14 Information Structure
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2. HEALTHCARE IN RURAL INDIA Health
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Cloud Data Center Internet Service
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Reliability of data: data collected
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Information System (NHIS). A Nation
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charge are either not aware of the
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from this medium. Additional securi
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attacks require the adversary to ma
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actions with yet unknown recipients
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Session 15 Measurement 2
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2. LITERATURE REVIEW 2.1 Electronic
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Among the main limitations and chal
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Furthermore, our study demonstrates
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E-Government Portals in Central Ame
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13 Guadaloupe 31.74 14.19 14 Aruba
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Evolving e-Government Benchmarking
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judgments are made about the qualit
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percentage of online availability o
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methodology, and few national gover
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integrating them worth it? Because
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Impacts of the Public Procurement R
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Not all the municipalities have the
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3. HYPHOTESIS AND RELEVANT QUESTION
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58% of the buyers believe that the
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A strategy of evolution of the mark
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Posters
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Russian Federation legislative prop
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Figure 1. Document Flow and E-DRM P
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We further assume that each key tar
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egion that is more representative o
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2.2 C-DAC C-DAC’s PARAM series of
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The Metropolitan Area Planning Coun
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expanded functionality in three are
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For each case, semi-structured inte
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Figure 1. Comparative analysis on t
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projects and their on-site images.
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key challenges of Enterprise System
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5. PART THREE: E GOVERNMENT APPLICA
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Following the research objectives,
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From Inter-Agency Information Shari
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479
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more and more valuable with the gro
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Implementation of Integrated Tax Sy
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Information Sharing in Inter-depart
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Interagency Collaboration in Provid
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489
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noted. The list of basic e-services
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the description of procedure for mo
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Opportunities for Improving eGovern
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Prioritization and Geo-Spatiotempor
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[4] R.Bruggemann and Ganapati P. Pa
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equirements. A direct communication
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Stage - 2: Here the actual software
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membership associations, recreation
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Fig 1 : Agriculture Revolution 3. P
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sector, private sector, and civil s
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System For Measuring e-Gov: A Multi
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The Digital Divide’s Devaluing of
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[3] Coursey, D., & Norris, D.F. (20
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In Brazil, electronic accessibility
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2) The areas to which mobile and wi
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2. OVERVIEW OF DISTRICT MAPPING The
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3.4 Driving License Driving License
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and socio-economic backgrounds. The
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Figure - 2: eGovernment Implementat
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Tutorial: Digital Curation for Publ
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ut also provide sufficient detail o
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ABM is known as a bottom-up simulat
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5.2 Relation to Empirics “Where d
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Larson, Elizabeth .................
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