Information and Knowledge Management using ArcGIS ModelBuilder

More documents

Recommendations

Info

Table 6: Person/s adding new features to EISs Elmarie Papageorgiou and Herman de Bruyn Person/s adding new features to EISs Marked Count Percentage Executive 19 29.2% Middle Management 12 18.5% Accountants 12 18.5% CEO 11 16.9% Auditors 0 0.0% Investors 0 0.0% Other users outside the company – MIS 1 1.5% Sub Total 25 38.5% Total 65 100.0% In Table 7 respondents from companies with an EIS could select more than one person responsible for ensuring the integrity of EISs in comparison with all the respondents to the questionnaire. The main persons involve are accountants (27.7%) followed closely by the executives (20.0%) to ensure the integrity of EISs. Only one CEO and five auditors were selected and no investors were selected for a person ensuring the integrity of EISs. Table 7: Person/s ensuring the integrity of EISs Person/s ensuring the integrity of EISs Marked Count Percentage Accountants 18 27.7% Executive 13 20.0% Middle Management 9 13.8% Auditors 5 7.7% Other users outside the company 1 1.5% CEO 1 1.1% Investors 0 0.0% Sub Total 25 38.5% Total 65 100.0% The respondents could select more than one person by stating ‘yes’ or ‘no’ to the person assuring ownership of EISs as per Table 8. Regarding the ownership of EISs, executives (84.0%) had the highest percentage followed by a group of persons nearly equally spread between CEOs (76.0%), Middle management (72.0%), IT persons (72.0%) and Accountants (68.0%). Table 8: Person/s assuring ownership of EISs Person/s assuring ownership of EISs Yes No Count % Count % Executive 21 84.0% 4 16.0% CEO 19 76.0% 6 24.0% Middle Management 18 72.0% 7 28.0% IT Persons 18 72.0% 7 28.0% Accountants 17 68.0% 8 32.0% Auditors 2 8.0% 23 92.0% 388
Elmarie Papageorgiou and Herman de Bruyn Person/s assuring ownership of EISs Yes No Count % Count % Non-management Staff 1 4.0% 23 96% Investors 0 0.0% 25 100.0% Other users outside the company 1 5.0% 18 95.0% Table 9 presents a rank ordered of financial information available on EISs. The respondents could select only one type of financial information available on their EISs. The six most important types of financial information that are upgraded on a regular basis are both Income statement and comparative figures (88.0%), followed by both Balance sheet and Cash flow statement (84.0%) then Actual versus budget figures (82.0%), and lastly both financial ratios and financial summary (72.0%). Table 9: Financial information available on EISs Financial information available on EISs Yes, regularly upgraded Yes, but not always upgraded Count % Count % Count % Income Statement 22 88.0% 1 4.0% 2 8.0% Comparative Figures 22 88.0% 1 4.0% 2 8.0% Balance Sheet 21 84.0% 1 4.0% 3 12.0% Cash flow Statement 21 84.0% 1 4.0% 3 12.0% Actual versus Budget figures for the company 20 80.0% 0 0.0% 5 20.0% Financial Ratios 18 72.0% 2 8.0% 5 20.0% Financial Summary 18 72.0% 4 16.0% 3 12.0% Management Report 17 68.0% 3 12.0% 5 20.0% Graphs on Financial Ratios / Budgets vs. actual of the company 16 64.0% 2 8.0% 7 28.0% Trend Analysis 16 64.0% 1 4.0% 8 32.0% Exchange Rates information 15 60.0% 0 0.0% 10 40.0% Drill down to Chart of Account level 13 52.0% 3 12.0% 9 36.0% 5-Year Review 12 48.0% 5 20.0% 8 32.0% Links to the JSE 12 48.0% 3 12.0% 10 40.0% On-time, real-time 12 48.0% 4 16.0% 9 36.0% Database Access 11 44.0% 2 8.0% 12 48.0% Report Writer for Formal Reports 10 40.0% 3 12.0% 12 48.0% Audit Report 10 40.0% 3 12.0% 12 48.0% Exception Reports 10 40.0% 3 12.0% 12 48.0% Interest Rates 9 36.0% 2 8.0% 14 56.0% Fixed Asset Register 7 28.0% 3 12.0% 15 60.0% Capability to do What-if-analysis 6 24.0% 3 12.0% 16 64.0% Investors Guide 6 24.0% 2 8.0% 17 68.0% VAT Reports 5 20.0% 1 4.0% 19 76.0% Taxation Enquiries 4 16.0% 1 4.0% 20 80.0% Other 3 12.0% 2 8.0% 20 80.0% 389 No
Page 1 and 2:
Proceedings of the 5th European Con
Page 3 and 4:
Contents Paper Title Author(s) Page
Page 5 and 6:
Paper Title Author(s) Page No. Cont
Page 7 and 8:
Preface The 5th European Conference
Page 9 and 10:
Dr Jorge Ricardo da Costa Ferreira
Page 11 and 12:
LSE while working at the British St
Page 13 and 14:
Minna Isomursu, PhD, is a research
Page 15 and 16:
Elmarie Papageorgiou is a Senior Le
Page 17 and 18:
Information and Knowledge Managemen
Page 19 and 20:
João Agrela et al. So modeling bec
Page 21 and 22:
João Agrela et al. ETRS 89 project
Page 23 and 24:
João Agrela et al. (accidents) tha
Page 25 and 26:
Figure 8: Final model João Agrela
Page 27 and 28:
João Agrela et al. outputs and res
Page 29 and 30:
System Integration Model Based on O
Page 31 and 32:
Kamsuriah Ahmad, Azwan Mohamed and
Page 33 and 34:
Kamsuriah Ahmad, Azwan Mohamed and
Page 35 and 36:
Building Virtual Communities on top
Page 37 and 38:
Cuneyt Gurcan Akcora, Barbara Carmi
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
References Cuneyt Gurcan Akcora, Ba
Page 45 and 46:
Karen Anderson, Göran Samuelsson a
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Developing a Model for Assessing IT
Page 55 and 56:
Mohammad Abooyee Ardakan et al. Fig
Page 57 and 58:
Mohammad Abooyee Ardakan et al. cor
Page 59 and 60:
Investigating the Relationship of M
Page 61 and 62:
Mohammad Abooyee Ardakan, Babak Soh
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Table 3: Goodness of fit indices Mo
Page 69 and 70:
Evaluation of ICT Investment in Hea
Page 71 and 72:
Figure 1: Search strategy for syste
Page 73 and 74:
A. Arviansyah, Egon Berghout and Ch
Page 75 and 76:
Managerial A. Arviansyah, Egon Berg
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
The Uses of Business Outcomes for I
Page 83 and 84:
Dawit Asmelash Measurability of th
Page 85 and 86:
Dawit Asmelash affected business pr
Page 87 and 88:
Business Units HR Sales Step 2 Iden
Page 89 and 90:
Dawit Asmelash In this case, at thi
Page 91 and 92:
Data Governance in Practice: The SM
Page 93 and 94:
Carolyn Begg and Tom Caira Our rese
Page 95 and 96:
Carolyn Begg and Tom Caira In the f
Page 97 and 98:
Carolyn Begg and Tom Caira Decision
Page 99 and 100:
Carolyn Begg and Tom Caira SMEs nee
Page 101 and 102:
Fergal Carton et al. The language u
Page 103 and 104:
Fergal Carton et al. 2008) to abstr
Page 105 and 106:
Payment integration (payment produc
Page 107 and 108:
Fergal Carton et al. Kim,C., Mirsob
Page 109 and 110:
Walter Castelnovo devised for, have
Page 111 and 112:
Walter Castelnovo the potential ris
Page 113 and 114:
Walter Castelnovo allow the informa
Page 115 and 116:
Walter Castelnovo Risk assessment,
Page 117 and 118:
Embedding Human Values Into Informa
Page 119 and 120:
Sunil Choenni, Peter van Waart and
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Evaluating the Role and Potential o
Page 127 and 128:
Renata Paola Dameri For these reaso
Page 129 and 130:
Final assessment and evaluation. Re
Page 131 and 132:
Renata Paola Dameri STRATEGIC GOALS
Page 133 and 134:
Renata Paola Dameri To clearly com
Page 135 and 136:
ICT and PA: A Marriage Made in Heav
Page 137 and 138:
Maria Concetta De Vivo, Alberto Pol
Page 139 and 140:
Page 141 and 142:
Page 143 and 144:
Jan Devos, Hendrik Van Landeghem an
Page 145 and 146:
Page 147 and 148:
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 159 and 160:
Page 161 and 162:
Page 163 and 164:
Page 165 and 166:
Graham Fletcher and Marie Cahillane
Page 167 and 168:
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
How Open Source Software Products:
Page 175 and 176:
Chiara Friso, Valentina Lenarduzzi,
Page 177 and 178:
Page 179 and 180:
Il giornale elettronico (Trivella,
Page 181 and 182:
Page 183 and 184:
Yuwanuch Gulatee and Barbara Combes
Page 185 and 186:
Table 1: Wholly online participants
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
Florian Hamel, Thomas Ph. Herz, Fal
Page 193 and 194:
Page 195 and 196:
Page 197 and 198:
Page 199 and 200:
Martin Hill, John Salt and Graham F
Page 201 and 202:
Page 203 and 204:
Page 205 and 206:
Transforming Information to Knowled
Page 207 and 208:
Vered Holzmann and Ben Holzmann Tot
Page 209 and 210:
Vered Holzmann and Ben Holzmann kno
Page 211 and 212:
Vered Holzmann and Ben Holzmann Prz
Page 213 and 214:
Grant Howard and Sam Lubbe High-lev
Page 215 and 216:
3. Theoretical discussion 3.1 Green
Page 217 and 218:
Grant Howard and Sam Lubbe 3.6 Envi
Page 219 and 220:
Grant Howard and Sam Lubbe Easterbr
Page 221 and 222:
Evaluating ICT Based Services for O
Page 223 and 224:
Minna Isomursu and Marja Harjumaa t
Page 225 and 226:
4.2 Challenges with research method
Page 227 and 228:
Minna Isomursu and Marja Harjumaa b
Page 229 and 230:
The Geography of Criminality - Info
Page 231 and 232:
Intelligence Paulo João, Jorge Fer
Page 233 and 234:
4.1 Crime hot-spots Paulo João, Jo
Page 235 and 236:
Paulo João, Jorge Ferreira and Jos
Page 237 and 238:
Page 239 and 240:
Page 241 and 242:
Mobile Virtual Network Operator Inf
Page 243 and 244:
Hallur Leivsgarð Joensen and Torbe
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Björn Johansson and Linda Bergkvis
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
A Fair Partnership Model by Sharing
Page 261 and 262:
Ghassan Kbar 2. Partnership and VC
Page 263 and 264:
Ghassan Kbar Entering state of the
Page 265 and 266:
Ghassan Kbar Saudi-chamber, (2011)
Page 267 and 268:
Ghassan Kbar and Abdul Aziz AlDusar
Page 269 and 270:
Page 271 and 272:
Page 273 and 274:
Page 275 and 276:
Dong-Hyun Kim and Hyun-Joo Kim We i
Page 277 and 278:
Dong-Hyun Kim and Hyun-Joo Kim As a
Page 279 and 280:
Dong-Hyun Kim and Hyun-Joo Kim We m
Page 281 and 282:
Erdem Kirkbesoglu and Gizem Ogutcu
Page 283 and 284:
Page 285 and 286:
Page 287 and 288:
Portfolio Management in Non-Profit
Page 289 and 290:
Bert Kleersnijder and Egon Berghout
Page 291 and 292:
Page 293 and 294:
Page 295 and 296:
Why is an IS Project Late? - A Case
Page 297 and 298:
2. The project 2.1 Background and r
Page 299 and 300:
Juha Kontio Phase In stallation Ope
Page 301 and 302:
Table 2: Identified reason of the p
Page 303 and 304:
Juha Kontio There are also reasons
Page 305 and 306:
2. Performance review model for NDP
Page 307 and 308:
Misoo Kwon Among the review indicat
Page 309 and 310:
Type Average time saved Misoo Kwon
Page 311 and 312:
Luigi Lavazza In conclusion, when a
Page 313 and 314:
Luigi Lavazza The former can be de
Page 315 and 316:
Luigi Lavazza For each process, we
Page 317 and 318:
6. Conclusions Luigi Lavazza When e
Page 319 and 320:
eBusiness Model Design and Evaluati
Page 321 and 322:
Monika Magnusson categories of busi
Page 323 and 324:
Monika Magnusson Business Model Ele
Page 325 and 326:
5.2 Guiding questions Monika Magnus
Page 327 and 328:
Monika Magnusson Hay, M. and Kamsha
Page 329 and 330:
Monika Magnusson and Marie-Therese
Page 331 and 332:
Page 333 and 334:
4.3 Goals at the project level Moni
Page 335 and 336:
Page 337 and 338:
Alignment in Enterprise Architectur
Page 339 and 340:
Thanos Magoulas, Aida Hadzic, Ted S
Page 341 and 342:
Page 343 and 344:
3.4 Infological alignment Thanos Ma
Page 345 and 346:
Page 347 and 348:
Page 349 and 350:
Panagiotis Manolitzas et al. to Gov
Page 351 and 352:
Panagiotis Manolitzas et al. Anothe
Page 353 and 354: Table 1: Criteria weights and satis
Page 355 and 356: Panagiotis Manolitzas et al. Satisf
Page 357 and 358: Understanding the Impact of Knowled
Page 359 and 360: Magdeline Mashilo and Tiko Iyamu Ac
Page 361 and 362: Magdeline Mashilo and Tiko Iyamu Cu
Page 363 and 364: Magdeline Mashilo and Tiko Iyamu Th
Page 365 and 366: Magdeline Mashilo and Tiko Iyamu Ho
Page 367 and 368: 2. Literature review 2.1 The Batik
Page 369 and 370: Nor Laila Md Noor and Ariza Nordin
Page 371 and 372: Nor Laila Md Noor and Ariza Nordin
Page 373 and 374: Isolated Strategies Nor Laila Md No
Page 375 and 376: HOT-fit Evaluation Framework: Valid
Page 377 and 378: Maryati Mohd Yusof In order to vali
Page 379 and 380: Maryati Mohd Yusof Further framewor
Page 381 and 382: Maryati Mohd Yusof Kaplan, B., and
Page 383 and 384: Gunilla Myreteg social context (Orl
Page 385 and 386: Gunilla Myreteg needed routine. Ano
Page 387 and 388: Gunilla Myreteg used, which in turn
Page 389 and 390: Environmental Scanning Practice of
Page 391 and 392: Roslina Othman and Siti Rohimi Hame
Page 397 and 398: 5. Conclusion Roslina Othman and Si
Page 399 and 400: Understanding Financial and non-Fin
Page 401 and 402: Elmarie Papageorgiou and Herman de
Page 403: Elmarie Papageorgiou and Herman de
Page 407 and 408: Type of non-financial information a
Page 409 and 410: Elmarie Papageorgiou and Herman de
Page 411 and 412: Shabnam Pasandide, Abbas Toloie Esh
Page 419 and 420: Can eGovernment Systems Bridge the
Page 421 and 422: Higher quality of services Elias Pi
Page 423 and 424: Elias Pimenidis, Lazaros Iliadis, a
Page 425 and 426: Elias Pimenidis, Lazaros Iliadis, a
Page 427 and 428: Contributions to the Measurement an
Page 429 and 430: Rui Alexandre Pires and Maria do C
Page 433 and 434: assessment Rui Alexandre Pires and
Page 437 and 438: Rozilawati Razali and Mahamsiatus K
Page 439 and 440: Figure 1: Research design 3.2 Phase
Page 445 and 446: David Sammon, Tadhg Nagle and John
Page 453 and 454: Teresa Santos, Ségio Freire and Jo
Page 455 and 456:
Teresa Santos, Ségio Freire and Jo
Page 457 and 458:
Teresa Santos, Ségio Freire and Jo
Page 459 and 460:
Reflections on the Role of the Lect
Page 461 and 462:
3. Reflective practice Elsje Scott,
Page 463 and 464:
Elsje Scott, Peter Weimann and Nata
Page 465 and 466:
Page 467 and 468:
Page 469 and 470:
Elena Serova traditional ERP manage
Page 471 and 472:
Elena Serova Increase in percentag
Page 473 and 474:
9. Conclusion Elena Serova At prese
Page 475 and 476:
Sharina Tajul Urus, Alemayehu Molla
Page 477 and 478:
4.2 Description of feral systems Sh
Page 479 and 480:
Sharina Tajul Urus, Alemayehu Molla
Page 481 and 482:
Type Sharina Tajul Urus, Alemayehu
Page 483 and 484:
Open Source Disease Control Softwar
Page 485 and 486:
Jose Teixeira and Reima Suomi do no
Page 487 and 488:
Jose Teixeira and Reima Suomi from
Page 489 and 490:
Jose Teixeira and Reima Suomi Futur
Page 491 and 492:
Value of Knowledge Management Syste
Page 493 and 494:
Nelly Todorova Human capital repres
Page 495 and 496:
Nelly Todorova IT value from pure f
Page 497 and 498:
Nelly Todorova unique and inimitabl
Page 499 and 500:
Accountability and the Reconstructi
Page 501 and 502:
Geert-Jan van Bussel cluding the pr
Page 503 and 504:
Geert-Jan van Bussel (e.g., Wijnhov
Page 505 and 506:
Geert-Jan van Bussel complementary,
Page 507 and 508:
The Question of Selecting Appropria
Page 509 and 510:
Bartosz Wachnik We can discern two
Page 511 and 512:
Bartosz Wachnik Table 1: Criteria o
Page 513 and 514:
Tasks in an ERP implementation proj
Page 515 and 516:
Bartosz Wachnik Tests’ recapitul
Page 517 and 518:
PhD Research Papers 501
Page 519 and 520:
Information Systems for Production
Page 521 and 522:
Denisa Ferenčíková 3. Correctly
Page 523 and 524:
Denisa Ferenčíková method requir
Page 525 and 526:
Denisa Ferenčíková mentioned typ
Page 527 and 528:
1.2 Service oriented architecture A
Page 529 and 530:
Antonio Hidalgo Landa, Ian Owens an
Page 531 and 532:
Page 533 and 534:
Page 535 and 536:
Page 537 and 538:
Hesbon Nyagowa, Dennis Ocholla and
Page 539 and 540:
Page 541 and 542:
Page 543 and 544:
Page 545 and 546:
Page 547 and 548:
The Specification of Competency Que
Page 549 and 550:
Yadary Ortega-González et al. Figu
Page 551 and 552:
Yadary Ortega-González et al. merg
Page 553 and 554:
Yadary Ortega-González et al. Comp
Page 555 and 556:
Yadary Ortega-González et al. Lysa
Page 557 and 558:
Michal Pivnička to (Collis 2008),
Page 559 and 560:
Figure 2: List of scorecards window
Page 561 and 562:
Michal Pivnička A Custom view (fig
Page 563 and 564:
Michal Pivnička necessary calculat
Page 565 and 566:
Michal Pivnička combines two or mo
Page 567 and 568:
Michal Pivnička When any informati
Page 569 and 570:
Challenges in Business Case Develop
Page 571 and 572:
Bart-Jan van Putten, Franziska Brec
Page 573 and 574:
Page 575 and 576:
Page 577 and 578:
Page 579 and 580:
Bart-Jan van Putten and Markus Schi
Page 581 and 582:
Page 583 and 584:
Page 585 and 586:
Page 587 and 588:
Mohamad Norzamani Sahroni and Marya
Page 589 and 590:
Table 1: Type of medical error Moha
Page 591 and 592:
Mohamad Norzamani Sahroni and Marya
Page 593 and 594:
Non Academic Papers 577
Page 595 and 596:
Management of Waiting List for Surg
Page 597 and 598:
Rita Cristóvão and Pedro Gomes In
Page 599 and 600:
Figure 4: Circuit of the patient in
Page 601 and 602:
Rita Cristóvão and Pedro Gomes Fi
Page 603 and 604:
Rita Cristóvão and Pedro Gomes ne
Page 605 and 606:
Rita Cristóvão and Pedro Gomes Fi
Page 607 and 608:
Rita Cristóvão and Pedro Gomes T
Page 609 and 610:
Work in Progress Papers with Poster
Page 611 and 612:
Information Management Enabling Col
Page 613 and 614:
Maria Bergenstjerna Data will be co
Page 615 and 616:
2. Methodology Giovanni Camponovo R
Page 617 and 618:
Giovanni Camponovo separate concept
Page 619 and 620:
Giovanni Camponovo A graphical summ
Page 621 and 622:
Giovanni Camponovo 3.5 Motivations
Page 623 and 624:
Giovanni Camponovo Butler, B., Spro
Page 625 and 626:
An Enterprise Ontology Approach for
Page 627 and 628:
Bernardo Gomes, André Vasconcelos
Page 629 and 630:
Page 631 and 632:
Page 633 and 634:
Soudabeh Khodambashi and Maryati Mo
Page 635 and 636:
National ICT Strategy and its Imple
Page 637 and 638:
Ermelinda Kordha and As. Kozeta Sev
Page 639 and 640:
João Soares, José Tribolet and An
Page 641:
João Soares, José Tribolet and An
show all

Information and Knowledge Management using ArcGIS ModelBuilder

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?