Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2020 | OriginalPaper | Buchkapitel

1. Enterprise Systems for Networked Smart Cities

verfasst von : Naim Ahmad, Rashid Mehmood

Erschienen in: Smart Infrastructure and Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Smart city concept redefines the urban planning and development of the existing and new cities. It drives on economic, social, and environmental sustainability of a city and attracts citizens, professionals, and corporations to build sustainable living. It portrays a city that is operationally optimal and provides a space for innovation. This is achieved through state of the art physical, institutional, and digital infrastructure. This chapter addresses the challenges of the digital aspect of the smart city. Enterprise systems technology is widely used in the organizations and will be utilized in the Smart city systems conceptualization and implementation. Smart city systems definition has been derived by analyzing the smart city requirements. Enterprise systems technology has been explained and the latest ICT trends have been explored to develop the technological foundation of smart city systems. Finally, we introduce partial least square regression, a structural equation modeling method to explore interrelationships between different interdisciplinary constructs and show its application to studying smart city systems. From the digital perspective of smart city, it may be concluded that connectedness leads to integration and integration leads to dynamism and dynamism leads to smartness and cycle continues to realize the best in class smart city.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Nächstes Kapitel Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection
Literatur
1.
Komninos, N.: Intelligent cities: variable geometries of spatial intelligence. Intell. Build. Int. 3, 172–188 (2011)CrossRef
2.
Hall, R.E., Bowerman, B., Braverman, J., Taylor, J., Todosow, H.: The vision of a smart city. 2nd Int. Life Ext. Technol. Work. 7, (2000)
3.
Giffinger, R.: Smart cities ranking of European medium-sized cities. October. 16, 13–18 (2007)
4.
Hollands, R.G.: Will the real smart city please stand up? City. 12, 303–320 (2008)CrossRef
5.
Washburn, D., Sindhu, U., Balaouras, S., Dines, R.A., Hayes, N., Nelson, L.E.: Helping CIOs understand “Smart City” initiatives. Growth. 17, 1–17 (2009)
6.
Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for smarter cities. IBM J. Res. Dev. 54, 1–16 (2010)CrossRef
7.
Chen, T.: Smart grids, smart cities need better networks. Journals & Magazines. 24(1), 2–3 (2010)
8.
Caragliu, A., Del Bo, C., Nijkamp, P.: Smart cities in Europe. J. Urban Technol. 18, 65–82 (2011)CrossRef
9.
10.
Nam, T., Pardo, T. a.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference on Digital Government Innovation in Challenging Times - dg.o ‘11. p. 282 (2011)
11.
Thite, M.: Smart cities: implications of urban planning for human resource development. Hum. Resour. Dev. Int. 14, 623–631 (2011)CrossRef
12.
Rios, P.: Creating" The Smart City". 1–126 (2012)
13.
Thuzar, M.: Urbanization in Southeast Asia: developing smart cities for the future? Reg. Econ. Outlook. 96, 100 (2012)
14.
Barrionuevo, J.M., Berrone, P., Ricart, J.E.: Smart cities, Sustainable Progress. IESE Insight. 14, 50–57 (2012)CrossRef
15.
Telefónica, F., CRETU, G.L.: Smart cities design using event-driven paradigm and semantic web. Inform. Econ. 16, 57–67 (2012)
16.
Kourtit, K., Nijkamp, P.: Smart cities in the innovation age. Innov. Eur. J. Soc. Sci. Res. 25, 93–95 (2012)CrossRef
17.
Kourtit, K., Nijkamp, P., Arribas, D.: Smart cities in perspective – a comparative European study by means of self-organizing maps. Innov. Eur. J. Soc. Sci. Res. 25, 229–246 (2012)CrossRef
18.
Lazaroiu, G.C., Roscia, M.: Definition methodology for the smart cities model. Energy. 47, 326–332 (2012)CrossRef
19.
Lombardi, P., Giordano, S., Farouh, H., Yousef, W.: Modelling the smart city performance. Innov. Eur. J. Soc. Sci. Res. 25, 137–149 (2012)CrossRef
20.
Bakici, T., Almirall, E., Wareham, J.: A Smart City initiative: the case of Barcelona. J. Knowl. Econ. 4, 135–148 (2013)CrossRef
21.
Zygiaris, S.: Smart City reference model: assisting planners to conceptualize the building of Smart City innovation ecosystems. J. Knowl. Econ. 4, 217–231 (2013)CrossRef
22.
Marsal-Llacuna, M.: Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative. Forecast. Soc. (2015)
23.
Albino, V., Berardi, U., Dangelico, R.M.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22, 3–21 (2015)CrossRef
24.
Mehmood, R., Alam, F., Albogami, N.N., Katib, I., Albeshri, A., Altowaijri, S.: UTiLearn: a personalised ubiquitous teaching and learning system for smart societies. IEEE Access. 3536, 1–22 (2017)
25.
Muhammed, T., Mehmood, R., Albeshri, A., Katib, I.: UbeHealth: a personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access. 6, 32258–32285 (2018)CrossRef
26.
Gomolski, B., Grigg, J., Potter, K.: IT spending and staffing survey results. Stamford, CT (2001)
27.
Carr, N.G.: IT doesn’t matter. Educ. Rev. 38, 24–38 (2003)
28.
Terry Anthony Byrd, D.E.T.: Measuring the flexibility of information technology infrastructure: Exploratory analysis of a construct. J. Manag. Inf. Syst. 17, 167–208 (2000)
29.
Chanopas, A., Krairit, D., Ba Khang, D.: Managing information technology infrastructure: a new flexibility framework. Manag. Res. News. 29, 632–651 (2006)CrossRef
30.
Weill, P., Subramani, M., Broadbent, M.: Building IT infrastructure for strategic agility. MIT Sloan Manag. Rev. 44, 57–65 (2002)
31.
Davenport, T.H.: Putting the enterprise into the enterprise system. Harv. Bus. Rev. 76, 121–131 (1998)
32.
Xue, Y., Liang, H., Boulton, W.R., Snyder, C.A.: ERP implementation failures in China: case studies with implications for ERP vendors. Int. J. Prod. Econ. 97, 279–295 (2005)CrossRef
33.
Hwa Chung, S., Snyder, C.A.: ERP adoption: a technological evolution approach. Int. J. Agil. Manag. Syst. 2, 24–32 (2000)CrossRef
34.
Davenport, T.H., Brooks, J.D.: Enterprise systems and the supply chain. J. Enterp. Inf. Manag. 17, 8–19 (2004)CrossRef
35.
Møller, C.: ERP II: a conceptual framework for next-generation enterprise systems? J. Enterp. Inf. Manag. 18, 483–497 (2005)CrossRef
36.
Klaus, H., Rosemann, M., Gable, G.G.: What is ERP? Inf. Syst. Front. 2, 141–162 (2000)CrossRef
37.
Sathish, S., Pan, S., Raman, K.: A stakeholder perspective of enterprise systems. In: PACIS 2003 Proceedings. pp. 669–682. , Adelaide, South Australia (2003)
38.
Davenport, T.H.: Process Innovation: Reengineering Work through Information Technology. Harvard Business Press, Boston, MA (1993)
39.
van Slooten, K., Yap, L.: Implementing ERP information systems using SAP. In: AMCIS 1999 proceedings. p. 81. Milwaukee (1999)
40.
Motiwalla, L.F., Thompson, J.: Enterprise systems for management. Pearson, Boston, MA (2012)
41.
Ahmad, N., Mehmood, R.: Enterprise systems: are we ready for future sustainable cities. Supply Chain Manag. 20, 264–283 (2015)CrossRef
42.
Davenport, T.H., Short, J.E., others: The new industrial engineering: information technology and business process redesign. Sloan Manage. Rev. 11–27 (1990)
43.
Shen, H., Wall, B., Zaremba, M., Chen, Y., Browne, J.: Integration of business modelling methods for enterprise information system analysis and user requirements gathering. Comput. Ind. 54, 307–323 (2004)CrossRef
44.
Curran, T., Keller, G., Ladd, A.: SAP R/3 Business Blueprint: Understanding the Business Process Reference Model. Prentice-Hall, Inc., Englewood Cliffs, NJ (1997)
45.
46.
Ahmad, N.: Cloud computing: Technology, security issues and solutions. In: Anti-Cyber Crimes (ICACC), 2017 2nd International Conference on. pp. 30–35 (2017)
47.
Alazawi, Z., Altowaijri, S., Mehmood, R., Abdljabar, M.B.: Intelligent disaster management system based on cloud-enabled vehicular networks. In: ITS Telecommunications (ITST), 2011 11th International Conference on. pp. 361–368 (2011)
48.
Suciu, G., Vulpe, A., Halunga, S., Fratu, O., Todoran, G., Suciu, V.: Smart cities built on resilient cloud computing and secure internet of things. In: Control Systems and Computer Science (CSCS), 2013 19th International Conference on. pp. 513–518 (2013)
49.
50.
Arfat, Y., Aqib, M., Mehmood, R., Albeshri, A., Katib, I., Albogami, N., Alzahrani, A.: Enabling Smarter Societies through Mobile Big Data Fogs and Clouds. In: Procedia Computer Science (2017), 109, 1128
51.
Tawalbeh, L.A., Bakhader, W., Mehmood, R., Song, H.: Cloudlet-based mobile cloud computing for healthcare applications. In: 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings (2016)
52.
Tawalbeh, L.A., Mehmood, R., Benkhlifa, E., Song, H.: Mobile cloud computing model and big data analysis for healthcare applications. IEEE Access. 4, 6171–6180 (2016)CrossRef
53.
Bassi, A., Horn, G.: Internet of things in 2020: a roadmap for the future. Eur. Comm. Inf. Soc. Media. 22, 97–114 (2008)
54.
Minerva, R., Biru, A., Rotondi, D.: Towards a definition of the internet of things (IoT). IEEE Internet Initiat. 1, 1–86 (2015)
55.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE Internet Things J. 1, 22–32 (2014)CrossRef
56.
Irfan, M., Ahmad, N.: Internet of Medical Things: Architectural Model, Motivational Factors and Impediments. In: 2018 15th Learning and Technology Conference (L&T). pp. 6–13 (2018)
57.
Alam, F., Mehmood, R., Katib, I., Albeshri, A.: Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT). In: Procedia Computer Science. pp. 437–442 (2016)CrossRef
58.
Alam, F., Mehmood, R., Katib, I., Albogami, N.N., Albeshri, A.: Data fusion and IoT for smart ubiquitous environments: a survey. IEEE Access. 5, 9533–9554 (2017)CrossRef
59.
Muhammed, T., Mehmood, R., Albeshri, A.: Enabling reliable and resilient IoT based smart city applications. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol 224. pp. 169–184. Springer, Cham (2018)
60.
Mehmood, R., Alam, F., Albogami, N.N., Katib, I., Albeshri, A., Altowaijri, S.M.: UTiLearn: a personalised ubiquitous teaching and learning system for smart societies. IEEE Access. 5, 2615–2635 (2017)CrossRef
61.
Mehmood, R., Faisal, M.A., Altowaijri, S.: Future networked healthcare systems: a review and case study. In: Boucadair, M., Jacquenet, C. (eds.) Handbook of Research on Redesigning the Future of Internet Architectures, pp. 531–558. IGI Global, Hershey, PA (2015)CrossRef
62.
Mehmood, R., Graham, G.: Big data logistics: a health-care transport capacity sharing model. Procedia Comput. Sci. 64, 1107–1114 (2015)CrossRef
63.
Arfat, Y., Mehmood, R., Albeshri, A.: Parallel shortest path graph computations of United States road network data on apache spark. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 323–336. Springer, Cham (2018)
64.
Mehmood, R., Meriton, R., Graham, G., Hennelly, P., Kumar, M.: Exploring the influence of big data on city transport operations: a Markovian approach. Int. J. Oper. Prod. Manag. 37, 75–104 (2017)CrossRef
65.
Alsulami, Mashael; Mehmood, R.: Sentiment Analysis Model for Arabic Tweets to Detect Users’ Opinions about Government Services in Saudi Arabia: Ministry of Education as a case study. In: Al Yamamah Information and Communication Technology Forum. pp. 1–8. , Riyadh (2018)
66.
Suma, S., Mehmood, R., Albugami, N., Katib, I., Albeshri, A.: Enabling Next Generation Logistics and Planning for Smarter Societies. Procedia - Procedia Comput. Sci. 1–6 (2017)
67.
Suma, S., Mehmood, R., Albeshri, A.: Automatic Event Detection in Smart Cities Using Big Data Analytics. In: International Conference on Smart Cities, Infrastructure, Technologies and Applications SCITA 2017: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 111–122. Springer, Cham (2018)
68.
Arfat, Y., Aqib, M., Mehmood, R., Albeshri, A., Katib, I., Albogami, N., Alzahrani, A.: Enabling smarter societies through Mobile big data fogs and clouds. Procedia Comput. Sci. 109, 1128–1133 (2017)CrossRef
69.
Alotaibi, S., Mehmood, R.: Big data enabled healthcare supply chain management: Opportunities and challenges. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST), Volume 224. pp. 207–215. Springer, Cham (2018)
70.
Aqib, M., Mehmood, R., Albeshri, A., Alzahrani, A.: Disaster management in smart cities by forecasting traffic plan using deep learning and GPUs. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 139–154 (2018)
71.
Alazawi, Z., Alani, O., Abdljabar, M.B., Altowaijri, S., Mehmood, R.: A smart disaster management system for future cities. In: Proceedings of the 2014 ACM international workshop on Wireless and mobile technologies for smart cities - WiMobCity ‘14. pp. 1–10. ACM Press, New York, New York, USA (2014)
72.
Mehmood, R., Lu, J.A.: Computational Markovian analysis of large systems. J. Manuf. Technol. Manag. 22, 804–817 (2011)CrossRef
73.
Alyahya, H., Mehmood, R., Katib, I.: Parallel sparse matrix vector multiplication on intel MIC: Performance analysis. In: Smart Societies, Infrastructure, Technologies and Applications, SCITA 2017, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 306–322. Springer, Cham (2018)
74.
Usman, S., Mehmood, R., Katib, I.: Big data and HPC convergence: The cutting edge and outlook. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 11–26. Springer, Cham (2018)
75.
Rob Farber: The Convergence of Big Data and Extreme-Scale HPC
76.
Alazawi, Z., Abdljabar, M.B., Altowaijri, S., Vegni, A.M., Mehmood, R.: ICDMS: An intelligent cloud based disaster management system for vehicular networks. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS, Volume 7266. pp. 40–56. Springer, Vilnius, Lithuania (2012)
77.
Alazawi, Z., Alani, O., Abdljabar, M.B., Mehmood, R.: Transportation evacuation strategies based on VANET disaster management system. Procedia Econ. Financ. 18, 352–360 (2014)CrossRef
78.
Alazawi, Z., Alani, O., Abdljabar, M.B., Mehmood, R.: An intelligent disaster management system based evacuation strategies. In: 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014. pp. 673–678 (2014)
79.
Alomari, E., Mehmood, R.: Analysis of tweets in Arabic language for detection of road traffic conditions. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. pp. 98–110. Springer, Cham (2018)
80.
Alam, F., Mehmood, R., Katib, I.: D2TFRS: An object recognition method for autonomous vehicles based on RGB and spatial values of pixels. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 155–168. Springer, Cham (2018)
81.
Al-dhubhani, Raed; Al Shehri, Waleed; Mehmood, Rashid; Katib, Iyad; Algarni, Abdullah; Altowaijri, S.: Smarter Border Security: A Technology Perspective. In: 1st International Symposium on Land and Maritime Border Security and Safety, Saudi Arabia. pp. 131–143. , Jeddah (2017)
82.
Alamoudi, E., Mehmood, R., Albeshri, A., Gojobori, T.: DNA profiling methods and tools: A review. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 216–231 (2018)
83.
Khanum, A., Alvi, A., Mehmood, R.: Towards a semantically enriched computational intelligence (SECI) framework for smart farming. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 247–257. Springer, Cham (2018)
84.
Al-Dhubhani, R., Mehmood, R., Katib, I., Algarni, A.: Location privacy in smart cities era. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST Volume 224. pp. 123–138. Springer, Cham (2018)
85.
Tawalbeh, L., Basalamah, A., Mehmood, R., Tawalbeh, H.: Greener and Smarter Phones for Future Cities: Characterizing the Impact of GPS Signal Strength on Power Consumption. IEEE Access. PP, 1–1 (2016)
86.
Graham, G., Mehmood, R.: The strategic prototype “crime-sourcing” and the science/science fiction behind it. Technol. Forecast. Soc. Change. 84, 86–92 (2014)CrossRef
87.
Ahmad, N., Mehmood, R.: Enterprise systems and performance of future city logistics. Prod. Plan. Control. 27, 500–513 (2016)CrossRef
88.
Büscher, M., Coulton, P., Efstratiou, C., Gellersen, H., Hemment, D., Mehmood, R., Sangiorgi, D.: Intelligent mobility systems: Some socio-technical challenges and opportunities. In: Communications Infrastructure. Systems and Applications in Europe, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST 16. pp. 140–152 (2009)
89.
Schlingensiepen, J., Nemtanu, F., Mehmood, R., McCluskey, L.: Autonomic Transport Management Systems—Enabler for Smart Cities, Personalized Medicine, Participation and Industry Grid/Industry 4.0. In: Intelligent Transportation Systems – Problems and Perspectives, Volume 32 of the series Studies in Systems, Decision and Control. pp. 3–35. Springer International Publishing (2016)
90.
Schlingensiepen, J., Mehmood, R., Nemtanu, F.C.: Framework for an autonomic transport system in smart cities. Cybern. Inf. Technol. 15, 50–62 (2015)
91.
Schlingensiepen, J., Mehmood, R., Nemtanu, F.C., Niculescu, M.: Increasing sustainability of road transport in European cities and metropolitan areas by facilitating autonomic road transport systems (ARTS). In: Wellnitz, J., Subic, A., Trufin, R. (eds.) Sustainable Automotive Technologies 2013 Proceedings of the 5th International Conference ICSAT 2013, pp. 201–210. Springer International Publishing, Ingolstadt, Germany (2014)CrossRef
92.
Mehmood, R., Nekovee, M.: Vehicular AD HOC and grid networks: Discussion, design and evaluation. In: 14th World Congress on Intelligent Transport Systems, ITS 2007. pp. 1555–1562 (2007)
93.
Gillani, S., Shahzad, F., Qayyum, A., Mehmood, R.: A Survey on Security in Vehicular Ad Hoc Networks. Springer, Berlin (2013)CrossRef
94.
Alvi, A., Greaves, D., Mehmood, R.: Intra-vehicular verification and control: A two-pronged approach. In: 7th IEEE International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010. pp. 401–405 (2010)
95.
Nabi, Z., Alvi, A., Mehmood, R.: Towards standardization of in-car sensors. In: lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). LNCS Volume. 6596, 216–223 (2011)
96.
Ayres, G., Mehmood, R.: On discovering road traffic information using virtual reality simulations. In: 11th International Conference on Computer Modelling and Simulation, UKSim 2009. pp. 411–416 (2009)
97.
Mehmood, R.: Towards understanding intercity traffic interdependencies. In: 14th World Congress on Intelligent Transport Systems, ITS 2007. pp. 1793–1799 (2007)
98.
Ayres, G., Mehmood, R.: LocPriS: A security and privacy preserving location based services development framework. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 566–575. Springer (2010)
99.
Suma, S., Mehmood, R., Albugami, N., Katib, I., Albeshri, A.: Enabling next generation logistics and planning for smarter societies. Procedia Comput. Sci. 109, 1122–1127 (2017)CrossRef
100.
Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds.): Smart Societies, Infrastructure, Technologies and Applications, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Volume 224. Springer International Publishing, Cham (2018)
101.
Haenlein, M., Kaplan, A.M.: A beginner’s guide to partial least squares analysis. Underst. Stat. 3, 283–297 (2004)CrossRef
102.
Gefen, D., Straub, D., Boudreau, M.-C.: Structural equation modeling and regression: guidelines for research practice. Commun. Assoc. Inf. Syst. 4, 7 (2000)
103.
Diamantopoulos, A.: Modelling with LISREL: a guide for the uninitiated. J. Mark. Manag. 10, 105–136 (1994)CrossRef
104.
Bagozzi, R.P., Phillips, L.W.: Representing and testing organizational theories: a holistic construal. Adm. Sci. Q. 27, 459–489 (1982)CrossRef
105.
Freeze, R.D., Raschke, R.L.: An Assessment of Formative and Reflective Constructs in IS Research. In: ECIS. pp. 1481–1492 (2007)
106.
Fornell, C., Bookstein, F.L.: Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. J. Mark. Res. 19, 440–452 (1982)CrossRef
107.
Chin, W.W., Marcolin, B.L., Newsted, P.R.: A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 14, 189–217 (2003)CrossRef
108.
Ismail, I.R., Hamid, R.A., Idris, F.: PLS application in Journals of Operations Management: a review. In: Proceedings of Global Conference on Operations and Supply Chain Management. pp. 1–6 (2012)
109.
Henseler, J., Ringle, C.M., Sinkovics, R.R.: The use of partial least squares path modeling in international marketing. In: New challenges to international marketing. pp. 277–319. Emerald Group Publishing Limited (2009)
110.
Jnr, H.J.F., Money, A.H., Samouel, P., Page, M.: Research Methods for Business, UK Edition. Wiley, West Sussex, England (2007)
111.
Diamantopoulos, A., Siguaw, J.A.: Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Br. J. Manag. 17, 263–282 (2006)CrossRef
112.
Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Date Analysis with Readings, (Engleweood Cliffs, NJ). Prentice Hall, Englewood Cliffs, NJ (1995)
113.
Chin, W.W.: The partial least squares approach to structural equation modeling. Mod. Methods Bus. Res. 295, 295–336 (1998)
114.
Ahmad, N.: Adoption, Implementation and Usage of Enterprise System: An Empirical Study, (2012)
115.
Abbasi, M., Abduli, M.A., Omidvar, B., Baghvand, A.: Forecasting municipal solid waste generation by hybrid support vector machine and partial least square model. Int. J. Environ. Res. 7, 27–38 (2013)
116.
Liu, Y., Yang, Y., Wei, J., Wang, X.: An examination on RFID innovation diffusions in Chinese public intelligent transportation services. Int. J. Mob. Commun. 13, 549–566 (2015)CrossRef
Metadaten
Titel
Enterprise Systems for Networked Smart Cities
verfasst von
Naim Ahmad
Rashid Mehmood
Copyright-Jahr
2020
Buch
Smart Infrastructure and Applications

Print ISBN: 978-3-030-13704-5

Electronic ISBN: 978-3-030-13705-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-13705-2_1

Neuer Inhalt

    Bildnachweise