Purpose – The purpose of this conceptual and exploratory paper is to explore and discuss possible solutions\ud
to integrate the concepts of Smart City (SC) and Intellectual Capital Management (ICM), especially referring\ud
to Structural Capital. Based on this we propose a theoretical framework that highlights the relevance of\ud
Structural Capital for strategic and operational planning of smarter cities.\ud
Design/methodology/approach – Using a neuropsychologic analogy, we assume that the development of\ud
smart cities corresponds to the development of a sensorial or even a nervous system for cities based on their\ud
Structural Capital, and the development of City Intellectual Capital (CIC) corresponds to a further phase of\ud
the cities’ mind development. We propose a practical framework that combines the concepts of city nervous\ud
system and city mind. It can be used as an instrument for project management. In this model, sensorial data -\ud
associated with the implementation of cities’ sensorial systems - should naturally contribute with open data\ud
to the development of higher abstract functions that in turn supports the creation of CIC.\ud
Findings –This paper highlights the interrelations between IC (especially its structural component) and SC\ud
and their synergic capability of improving both a smart city’s competitiveness and sustainability, and by this\ud
illustrates the benefits of combining both concepts in a common theoretical framework.\ud
Research limitations/implications – Given the paper’s theoretical nature, the empirical validation of the\ud
proposed framework is missing. This limitation will be addressed in forthcoming empirical research.\ud
Originality and implications – By proposing a framework that combines the concepts of SC and IC, the\ud
paper contributes to theory development regarding the strategic management of cities and the application of\ud
IC
The global transformation of the economy, driven by digital transformation and sustainability challenges, is placing its focus on the evaluation of companies’ intangible assets. Thus, if the report of those intangible assets, namely intellectual capital (IC) management, is endowed with credible metrics, recognized, and accepted, it can work as a guarantee, ensuring the reliability and sustainability of an organization. The aim of this research is to propose a data-driven Intellectual Capital Management Scoring System to be used in the auditing of the IC management of organisations. This paper presents one of the first attempts to use Path Modelling and the Partial Least Squares (PLS) Methodology, combined with Biplots, to define and validate Intellectual Capital Scoring Systems. This system relies on a model estimated using the PLS Path Modelling methodology and uses data from two independent random samples of Portuguese small and medium-sized enterprises (SMEs), which, in turn, was used to obtain two independent model estimates. The results obtained with the mentioned methodology show a good consistency both in performance and very similar parameters estimates, suggesting the validity of the associated scoring function.
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