The contribution of knowledge management to smart cities for innovation: proposal for a prescriptive framework and a research agenda
DOI:
https://doi.org/10.5585/iji.v8i3.18543Keywords:
Smart cities, Knowledge management, Semi-systematic literature review.Abstract
Objective: To verify how Knowledge Management (KM) is being associated with Smart Cities (SC) initiatives, through the analysis of the scientific production of both themes in indexing journals in the last 10 years. This article has three research questions: 1. What are the methodological approaches adopted to investigate research problems on KM in SC. 2. What are the research topics investigated on KM in SC? and 3. How is research on KM characterized in SC?
Relevance/originality: This research analyzes how KM is associated with SC initiatives and proposes a research agenda on KM in SC.
Methodology/approach: The method used was a semi-systematic literature review.
Main results: The research found gaps concerning the adaptation of KM models in the context of SC, the selection of relevant variables for the analysis of KM in SC, the effect of KM on the results of SC initiatives, and how actions emerging issues of transparency and governance can influence or be influenced by KM.
Theoretical/methodological contributions: The article builds an overview of the collaboration of two fields in evidence today. In addition to the analysis of all articles in the sample, which includes quantitative data, the authors bring a proposed research agenda with the aim of promoting the maturation of the theme. The main theoretical contributions are in the proposal of the prescriptive framework and the research agenda.
Social/management contributions: In a context of excess knowledge, decision-making becomes complex. Thus, understanding how KM can act in the complex context of SC helps managers to visualize alternatives to problems, selection, and organization of knowledge that affect decision-making.
Downloads
References
Al-Ammary, J. (2014). The strategic alignment between knowledge management and information systems strategy: The impact of contextual and cultural factors. Journal of Information & Knowledge Management, 13(01), 1450006.
Angelidou, M. (2015). Smart cities: A conjuncture of four forces. Cities, 47, 95-106.
Ardito, L., Ferraris, A., Petruzzelli, A. M., Bresciani, S., & Del Giudice, M. (2019). The role of universities in the knowledge management of smart city projects. Technological Forecasting and Social Change, 142, 312-321.
Bakker, R. M; Cambré, B.; Korlaar, L.; Raab, J. (2010). Managing the project learning paradox: A set-theoretic approach toward project knowledge transfer. International Journal of Project Management. doi:10.1016/j.ijproman.2010.06.002.
Bardin, L. (2006). Análise de Conteúdo. Lisboa: Edições 70.
Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., ... & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481-518.
Bresciani, S., Ferraris, A., & Del Giudice, M. (2018). The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technological Forecasting and Social Change, 136, 331-338.
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of urban technology, 18(2), 65-82.
Carvalho, L., Santos, I. P., & Van Winden, W. (2014). Knowledge spaces and places: From the perspective of a “born-global” start-up in the field of urban technology. Expert Systems with Applications, 41(12), 5647-5655.
Colin, H., & Ian, A. D. (2011). A theory of smart cities. In Proceedings of the 55th Annual Meeting of the ISSS.
Dameri, R. P., & Ricciardi, F. (2015). Smart city intellectual capital: an emerging view of territorial systems innovation management. Journal of Intellectual Capital.
Deakin, M., & Al Waer, H. (2011). From intelligent to smart cities. Intelligent Buildings International, 3(3), 140-152.
Ferraris, A., Erhardt, N., & Bresciani, S. (2019). Ambidextrous work in smart city project alliances: unpacking the role of human resource management systems. The International Journal of Human Resource Management, 30(4), 680-701.
Gao, F., Ali, M. I., Curry, E., & Mileo, A. (2017). Automated discovery and integration of semantic urban data streams: The ACEIS middleware. Future Generation Computer Systems, 76, 561-581.
Kazantsev, N., & Zakhlebin, I. (2014). Measuring influence of internationalized universities on smart city development in terms of human capital and urban aspects. Knowledge Management & E-Learning: An International Journal, 6(4), 410-425.
Klein, R. H., Klein, D. B., & Luciano, E. M. (2018). Open Government Data: Concepts, Approaches and Dimensions Over Time. Revista Economia & Gestão, 18(49), 4-24.
Laurini, R. (2020). A primer of knowledge management for smart city governance. Land Use Policy, 104832.
Lima, M. (2020). Smarter organizations: insights from a smart city hybrid framework. International Entrepreneurship and Management Journal, 16(4), 1281-1300.
Mainka, A., Castelnovo, W., Miettinen, V., Bech‐Petersen, S., Hartmann, S., & Stock, W. G. (2016). Open innovation in smart cities: Civic participation and co‐creation of public services. Proceedings of the Association for Information Science and Technology, 53(1), 1-5.
Malhotra, N. K. (2001). Pesquisa de Marketing-: Uma Orientação Aplicada. Bookman Editora.
Manville, C., Cochrane, G., Cave, J., Millard, J., Pederson, J. K., Thaarup, R. K., & Kotterink, B. (2014). Mapping Smart Cities in the EU, Directorate General For Internal Policies Policy Department A: Economic And Scientific Policy. European Parliament’s Committee on Industry, Research and Energy (Available from http://www.europarl.europa.eu/RegData/etudes/etudes/join/2014/507480/IPOL-ITRE_ET).
Matos, F., Vairinhos, V. M., Dameri, R. P., & Durst, S. (2017). Increasing smart city competitiveness and sustainability through managing structural capital. Journal of Intellectual Capital.
Mordacchini, M., Passarella, A., Conti, M., Allen, S. M., Chorley, M. J., Colombo, G. B., ... & Whitaker, R. M. (2015). Crowdsourcing through cognitive opportunistic networks. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 10(2), 1-29.
Mushtaq, R., & Bokhari, R. H. (2011). Knowledge sharing: organizational culture and transformational leadership. Journal of Knowledge Management Practice, 12(2).
Nawab, S., Nazir, T., Zahid, M. M., & Fawad, S. M. (2015). Knowledge management, innovation and organizational performance. International Journal of Knowledge Engineering, 1(1), 43-48.
Nielsen, B. F., Baer, D., & Lindkvist, C. (2019). Identifying and supporting exploratory and exploitative models of innovation in municipal urban planning; key challenges from seven Norwegian energy ambitious neighborhood pilots. Technological forecasting and social change, 142, 142-153.
Orłowski, C., Ziółkowski, A., Orłowski, A., Kapłański, P., Sitek, T., & Pokrzywnicki, W. (2016). Smart Cities System Design Method Based on Case Based Reasoning. In Transactions on Computational Collective Intelligence XXV (pp. 43-58). Springer, Berlin, Heidelberg.
Ortiz-Fournier, L. V., Márquez, E., Flores, F. R., Rivera-Vázquez, J. C., & Colon, P. A. (2010). Integrating educational institutions to produce intellectual capital for sustainability in Caguas, Puerto Rico. Knowledge Management Research & Practice, 8(3), 203-215.
Osman, A. M. S. (2019). A novel big data analytics framework for smart cities. Future Generation Computer Systems, 91, 620-633.
Nd. Manual do Nvivo 9. Disponível em www.qrsinternational.com. Retrieved on 15th, Sep. 2019.
Sepasgozar, S. M., Hawken, S., Sargolzaei, S., & Foroozanfa, M. (2019). Implementing citizen-centric technology in developing smart cities: A model for predicting the acceptance of urban technologies. Technological Forecasting and Social Change, 142, 105-116.
Snyder, Hannah. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339.
Sotres, P., Lanza, J., Sánchez, L., Santana, J. R., López, C., & Muñoz, L. (2019). Breaking vendors and city locks through a semantic-enabled global interoperable internet-of-things system: A smart parking case. Sensors, 19(2), 229.
Takeuchi, H., & Nonaka, I. (2009). Gestão do conhecimento. Bookman Editora.
Tanaji, B. S. (2012). Benefits of knowledge management system for the banking sector. BENEFITS, 3(1), 133-137.
Tang, B., Chen, Z., Hefferman, G., Wei, T., He, H., & Yang, Q. (2015). A hierarchical distributed fog computing architecture for big data analysis in smart cities. In Proceedings of the ASE BigData & SocialInformatics 2015 (pp. 1-6).
Teixeira, E. K., Oliveira, M., & Curado, C. M. M. (2018). Knowledge management process arrangements and their impact on innovation. Business Information Review, 35(1), 29-38.
Van Waart, P., Mulder, I., & de Bont, C. (2016). A participatory approach for envisioning a smart city. Social Science Computer Review, 34(6), 708-723.
Wataya, E., & Shaw, R. (2019). Measuring the value and the role of soft assets in smart city development. Cities, 94, 106-115.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 International Journal of Innovation
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
The author(s) authorize the publication of the article in the journal.
The author(s) ensure that the contribution is original and unpublished and is not being evaluated in other journal(s).
The journal is not responsible for the opinions, ideas and concepts expressed in the texts because they are the sole responsibility of the author(s).
The publishers reserve the right to make adjustments and textual adaptation to the norms of APA.
Authors retain copyright and grant the journal right of first publication, with the work after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access) at http://opcit.eprints.org/oacitation-biblio.html
Authors are able to use ORCID is a system of identification for authors. An ORCID identifier is unique to an individual and acts as a persistent digital identifier to ensure that authors (particularly those with relatively common names) can be distinguished and their work properly attributed.