Open Access
Issue |
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
|
|
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Article Number | 05001 | |
Number of page(s) | 15 | |
Section | Digital Innovation through Smart Services | |
DOI | https://doi.org/10.1051/itmconf/20224105001 | |
Published online | 08 February 2022 |
- H. Chen, R. H. L. Chiang, V. C. Storey, Business intelligence and analytics: From big data to big impact. MIS Quarterly 36, 1165–1188 (2012) [CrossRef] [Google Scholar]
- K. Kesorn, W. Juraphanthong, A. Salaiwarakul, Personalized attraction recommendation system for tourists through check-in data. IEEE access 5, 26703–26721 (2017) [CrossRef] [Google Scholar]
- Y. Yin, L. Chen, J. Wan, Location-aware service recommendation with enhanced probabilistic matrix factorization. IEEE Access 6, 62815–62825 (2018) [CrossRef] [Google Scholar]
- A. Chianese, F. Piccialli, A smart system to manage the context evolution in the Cultural Heritage domain. Computers Electrical Engineering 55, 27–38 (2016) [CrossRef] [Google Scholar]
- C. Lim, P. P. Maglio, Data-driven understanding of smart service systems through text mining. Service Science 10(2), 154–180 (2018) [CrossRef] [Google Scholar]
- A. Medina-Borja, Editorial Column—Smart Things as Service Providers: A Call for Convergence of Disciplines to Build a Research Agenda for the Service Systems of the Future. Service Science 7(1), ii-v (2015) [CrossRef] [Google Scholar]
- D. Beverungen, M. Matzner, C. Janiesch: Information systems for smart services. In. Springer, (2017) [Google Scholar]
- J. C. Spohrer, H. Demirkan, Introduction to the smart service systems: Analytics, cognition, and innovation minitrack. 2015 48th Hawaii International Conference on System Sciences, (IEEE, 2015) [Google Scholar]
- D. T. Le, T. T. P. Thi, C. Pham-Nguyen, Towards a Context-Aware Knowledge Model for Smart Service Systems. International Conference on Computational Collective Intelligence, (Springer, 2020) [Google Scholar]
- J. Annas, An introduction to Plato's Republic. (1981) [Google Scholar]
- I. Nonaka, I. o Nonaka, N. Ikujiro, H. Takeuchi, The knowledge-creating company: How Japanese companies create the dynamics of innovation, vol. 105. OUP USA, (1995) [Google Scholar]
- M. Abzari, M. Shojaei, B. Forouzan, Designing of conceptual model of motivation in knowledge management implementation case study: Gas company in Isfahan province. European Journal of Economics, Finance and Administrative Sciences 45, 26–38 (2012) [Google Scholar]
- T. Le Dinh, L. Rinfret, L. Raymond, B. T. D. Thi, Towards the reconciliation of knowledge management and e-collaboration systems. Interactive Technology and Smart Education (2013) [Google Scholar]
- R. Garud, On the distinction between know-how, know-what, and know-why. Advances in strategic management 14, 81–102 (1997) [Google Scholar]
- T. Le Dinh, T. H. Van, T. S. Nomo, A framework for knowledge management in project management offices. The Journal of Modern Project Management 3(3) (2016) [Google Scholar]
- H. Cleveland, Information as a resource. Futurist 16(6), 34–39 (1982) [Google Scholar]
- J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, A. Hung Byers, Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute, (2011) [Google Scholar]
- S. Batra, Big data analytics and its reflections on DIKW hierarchy. Review of Management 4(1/2), 5 (2014) [Google Scholar]
- K. C. Laszlo, A. Laszlo, Evolving knowledge for development: the role of knowledge management in a changing world. Journal of Knowledge Management (2002) [Google Scholar]
- J. Rowley, The wisdom hierarchy: representations of the DIKW hierarchy. Journal of information Science 33(2), 163–180 (2007) [CrossRef] [Google Scholar]
- P. P. Maglio, C.-H. Lim, Innovation and big data in smart service systems. Journal of Innovation Management 4(1), 11–21 (2016) [CrossRef] [Google Scholar]
- T. L. Dinh, N. A. K. Dam, Towards Smart Customer Knowledge Management Systems. International Conference on Computational Collective Intelligence, (Springer, 2021) [Google Scholar]
- C.-H. Lim, K.-J. Kim, IT-enabled information-intensive services. IT Professional 17(2), 26–32 (2015) [CrossRef] [Google Scholar]
- A. Intezari, S. Gressel, Information and reformation in KM systems: big data and strategic decision-making. Journal of Knowledge Management 21(1), 71–91 (2017) [CrossRef] [Google Scholar]
- J. R. Vest, S. J. Grannis, D. P. Haut, P. K. Halverson, N. Menachemi, Using structured and unstructured data to identify patients’ need for services that address the social determinants of health. International journal of medical informatics 107, 101–106 (2017) [CrossRef] [Google Scholar]
- T. Le Dinh, T.-C. Phan, T. Bui, M. C. Vu, Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era. International Journal of Intelligent Information Technologies 14(4), 24–38 (2018) [CrossRef] [Google Scholar]
- P. Bellini, P. Nesi, M. Paolucci, I. Zaza, Smart city architecture for data ingestion and analytics: Processes and solutions. 2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService), (IEEE, 2018) [Google Scholar]
- P. Mikalef, J. Krogstie, I. O. Pappas, P. Pavlou, Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management 57(2), 103169 (2020) [CrossRef] [Google Scholar]
- T. Le Dinh, N. A. K. Dam, Smart data as a service. Proceedings of the International conference on exploring service science (IESS) 2.1, (2021) [Google Scholar]
- T. Le Dinh, T. H. Le, Towards an Approach for Modeling Interoperability of Information Systems. 2007 IEEE International Conference on Research, Innovation and Vision for the Future, (IEEE, 2007) [Google Scholar]
- D. T. Le, T. T. P. Thi, C. Pham-Nguyen, L. N. H. Nam, Towards a context-aware knowledge model for smart service systems. International Conference on Computational Collective Intelligence, (Springer, 2020) [Google Scholar]
- M. Alavi, D. E. Leidner, Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 107–136 (2001) [CrossRef] [Google Scholar]
- E. Begoli, J. Horey, Design principles for effective knowledge discovery from big data. 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, (IEEE, 2012) [Google Scholar]
- J. P. Shim, M. Warkentin, J. F. Courtney, D. J. Power, R. Sharda, C. Carlsson, Past, present, and future of decision support technology. Decision support systems 33(2), 111–126 (2002) [CrossRef] [Google Scholar]
- N. A. K. Dam, T. Le Dinh, W. Menvielle, Towards a Conceptual Framework for Customer Intelligence in the Era of Big Data. International Journal of Intelligent Information Technologies (IJIIT) 17(4), 1–17 (2021) [CrossRef] [Google Scholar]
- N. A. K. Dam, T. Le Dinh: A Literature Review of Recommender Systems for the Cultural Sector. Paper presented at the Proceedings of the 22nd International Conference on Enterprise Information, Czech Republic, [Google Scholar]
- J. R. Saura, D. Palacios-Marqués, D. Ribeiro-Soriano, Digital marketing in SMEs via data-driven strategies: Reviewing the current state of research. Journal of Small Business Management, 1–36 (2021) [CrossRef] [Google Scholar]
- J. Borràs, A. Moreno, A. Valls, Intelligent tourism recommender systems: A survey. Expert Systems with Applications 41(16), 7370–7389 (2014) [CrossRef] [Google Scholar]
- N. M. Villegas, C. Sánchez, J. Díaz-Cely, G. Tamura, Characterizing context-aware recommender systems: A systematic literature review. Knowledge-Based Systems 140, 173–200 (2018) [CrossRef] [Google Scholar]
- S. Erevelles, N. Fukawa, L. Swayne, Big Data consumer analytics and the transformation of marketing. Journal of Business Research 69(2), 897–904 (2016) [CrossRef] [Google Scholar]
- S. L. France, S. Ghose, Marketing analytics: Methods, practice, implementation, and links to other fields. Expert Systems with Applications 119, 456–475 (2018) [Google Scholar]
- A. Rawson, E. Duncan, C. Jones, The Truth About Customer Experience. Harvard Business Review (2013) [Google Scholar]
- N. A. K. Dam, T. Le Dinh, W. Menvielle, A Service-based Model for Customer Intelligence in the Age of Big Data. Proceedings of Americas Conference on Information Systems 9 (2020) [Google Scholar]
- S. Fan, R. Y. K. Lau, J. L. Zhao, Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Big Data Research 2(1), 28–32 (2015) [CrossRef] [Google Scholar]
- M. Holmlund, Y. Van Vaerenbergh, R. Ciuchita, A. Ravald, P. Sarantopoulos, F. V. Ordenes, M. Zaki, Customer experience management in the age of big data analytics: A strategic framework. Journal of Business Research (2020) [Google Scholar]
- D. Lafrenière, Digital transformation: start with the customer, not IT! Les Affaires (2020) [Google Scholar]
- T. Hong, E. Kim, Segmenting customers in online stores based on factors that affect the customer’s intention to purchase. Expert Systems with Applications 39(2), 2127–2131 (2012) [CrossRef] [Google Scholar]
- S. Galhotra, U. Khurana, Semantic Search over Structured Data. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, (2020) [Google Scholar]
- N. A. K. Dam, T. Le Dinh, W. Menvielle, Marketing Intelligence From Data Mining Perspective – A Literature Review. International Journal of Innovation, Management and Technology (2019) [Google Scholar]
- T. Le Dinh, M. Léonard, Towards coordination-ready information systems: the Information System Component approach. Proceeding of AISTA, Luxembourg (2004) [Google Scholar]
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