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The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions.

First, several guiding rules demonstrating the contribution of system dynamics (SD) to the field of IC management are introduced. Second, evidence for modelling resource dynamics is provided across a knowledge-based industry, insurance. Third, a management problem of an insurance company is modelled and then simulated using SD tools to monitor and improve the alignment of key resources with the firm’s market growth strategy.

The modelling and further simulation practice demonstrated the advantages of applying SD for analysing resource management problems to identify the critical IC components, intervention points and decision rules that may stimulate value-creating loops. Specifically for the case of an insurance company’s failure in market growth, it led to recognising the critical role of agency sales productivity as a key component of company’s relational capital and the intellectual liabilities that can lead to value destruction.

Reducing causal ambiguity in IC value creation through modelling and simulating firm resource dynamics is the main contribution of this paper. It enables finding the best intervention points for developing IC-based initiatives to stimulate value-creation mechanisms, as well identifying possible points of value destruction.

The ratio between share price and current earnings per share, the Price Earning (PE) ratio, is widely considered to be an effective gauge of under/overvaluation of a corporation’s stock. Arguably, a more reliable indicator, the Cyclically Adjusted Price Earning ratio or CAPE, can be obtained by replacing current earnings with a measure of permanent earnings i.e. the profits that a corporation is able to earn, on average, over the medium to long run. In this study, we aim to understand the cross-sectional aspects of the dynamics of the valuation metrics across global stock markets including both developed and emerging markets. We use a time varying DCC model to exploit the dynamics in correlations, by introducing the notion of value spread between CAPE and the respective Market Index from 2002 to 2014 for 34 countries. Value spread is statistically significant during the 2008 crisis for asset allocation. The signal can be utilized for better asset allocation as it allows one to interpret the common movements in the stock market for under/overvaluation trends. These estimates clearly indicate periods of misvaluation in our sample. Furthermore, our simulations suggest that the model can provide early warning signs for asset mispricing in real time on a global scale and formation of asset bubbles.

The purpose of this study is to observe Intellectual Capital (IC) dynamics “in practice” through a temporal lens by considering IC as an on-going process, and thus taking into consideration its life cycle and how it changes over time.

A longitudinal case study has been investigated by adopting a participant observation approach to understand how the dynamics of IC are understood in practice.

This study spotlights three main conceptions of IC dynamics (value creation, IC activities and organizational change) which, although generally proposed in literature as separable concepts, do co-exist and interact, in practice as is reflected in the related managerial tools.

The main limitations of this study are twofold. The first is related to the methodology adopted and in particular, to the participant observation approach. The second is related to the specifics of the case study undertaken. This paper contributes to the literature on “Intellectual Capital in action” and “Intellectual Capital in practice” by enriching the understanding of IC dynamics.

By comparison to the extant literature in which the IC dynamics concepts are considered separately, this study combines the three different concepts and examines them in vivo, adopting a longitudinal perspective.

The purpose of this paper is to investigate the relevance of intellectual capital (IC) as a strategic resource and source of regional value creation dynamics. Adopting a knowledge‐based approach, the authors aim to argue that knowledge assets represent the IC's components, and the Knoware Tree and the Knoware Dashboard are proposed as frameworks to assess the IC within regions. For the global assessment of the IC, the Regional Intellectual Capital Index (RICI) is to be introduced and its application is proposed for the assessment of the IC within Italian regions. Finally, in order to explore the links between the IC ownership of a region and its value creation dynamics, the Value Creation Index (VCI) is adopted and linear correlations of the RICI and VCI are performed, providing first empirical evidences of the positive links between IC and value creation.

The paper integrates the results of an intensive literature review with a longitudinal empirical research applied to Italian regions.

The paper provides a knowledge‐based understanding of the IC, highlighting the existence of a positive correlation between IC and value creation of the Italian regions.

The adoption of linear correlation for analysing the empirical data set could be considered as a research limitation, since more rigorous statistical approaches, such as the robust canonical analysis and the structural equation modelling could be adopted.

The paper provides a methodology for assessing IC within regions.

The proposed frameworks for assessing IC within regions are original as well as the empirical results showing a positive links between IC ownership and value creation.

The purpose of this paper is to introduce a new conceptual framework for smallholder value chains based on complex adaptive systems.

The authors review the application of the framework to three case studies and explore their implications. The authors reflect on the value of a framework based on complex adaptive systems compared to alternative frameworks.

The authors argue that the dynamics of smallholder value chains have received insufficient attention.

By focusing on these dynamics and on the capacity for adaptation among value chain actors the framework provides a new perspective on smallholder value chains.

Complex adaptive systems provide a useful framework for analyzing value chain dynamics.

This paper aims to provide a snapshot of various countries’ contributions to value produced along global value chains (GVCs). It focusses on manufacturing activities and their evolution over time, in the context of GVC regionalisation.

The Trade in Value Added (TiVA) and World Integrated Trade Solution databases for the period of 2005-2015 were used to explore the case of Italy and its industries’ specialisations (Made in Italy): fashion, furniture, automotive and machinery traditionally organised into clusters. Various analyses were used to show the dynamics of gross import–export and imported–exported value-added. Moreover, the revealed comparative advantage index was computed to test whether the Made in Italy sector remains a source of competitive advantage for Italy within GVCs.

The results highlight how the geography of value-added is changing over time, with growing importance placed on the countries close to Italy and with a different pace according to each considered GVC.

The paper applied new methods to compare trade and analyse value-added dynamics through a recent database released by the Organization for Economic Co-operation and Development within the TiVA initiative that is useful for scholars and policymakers.

The purpose of this study is firm value management through corporate finance policy design and scenario analysis to maximize the firm value.

The study develops a system dynamics model for an oil firm and incorporates the financial and physical processes to perform the firm valuation. The model is simulated under the current and alternative investment, capital structure and dividend policies of the case firm, assuming different oil and gas price and tax rate scenarios to identify which combination of policies maximizes the firm value.

The simulation results suggest that lowering the volume of investments, increasing the debt ratio and reducing the dividend payments from the current level increases the share price, given increased oil and gas price expectations and lower tax rates. However, the total firm value outperforms with increased investments toward the end of the simulation period. In case of decreased oil and gas price expectations, lower volume of investments, lower debt ratio and lower dividend payments increase the share prices, given lower taxes.

This study entails significance as it provides a comprehensive financial planning model for an oil firm, which incorporates the complex interactions of key financial and physical processes of the firm. The study contributes to debates on corporate finance policies by integrating multiple theories, accounting for accumulation processes and feedback loops and their non-linear interactions. The study proposes the consideration of combined impact of policies for firm value management.

The purpose of this paper is to analyse the knowledge dimensions grounding regional development dynamics.

The paper first provides a knowledge‐based interpretation of regional development and afterwards the knowledge assets categories at the basis of value creation dynamics at regional level are discussed. The aim is to define a conceptual framework addressing the knowledge assets categories affecting the development dynamics of regions and territories. To support these arguments, the paper integrates the conceptual framework with the analysis of a case study of an Italian region. The paper provides the case example of Basilicata region, which has planned and implemented policies aimed to activate and support regional strategic development by focusing on knowledge assets dimensions. The paper combines a deductive approach with an inductive one. The knowledge assets dimensions grounding regional development dynamics are identified through a review of the literature. Then, the conceptual framework is integrated by the analysis of a case study aimed to enrich the proposed conceptual arguments with empirical evidences.

The paper highlights the strategic relevance of knowledge capital in sustaining and driving regional development dynamics. The knowledge assets dimensions grounding regional development are discussed, providing insights for both research and practice.

This paper contributes to further develop the knowledge‐based view of the regional development dynamics. The paper provides implications for future research and useful insights for policy making.

By reviewing the literature, this paper explores the current priorities and future directions of alliance post-formation dynamics research.

This paper collects and analyzes empirical studies on alliance post-formation dynamics that were published between 1990 and 2021.

Current research on alliance post-formation dynamics can be structured as antecedents and outcomes of dynamics and their moderating effects. Among these topics, antecedents of dynamics have been addressed in a large body of research encompassing diverse theoretical mechanisms and levels of analysis. However, there remain debates regarding the outcomes of alliances post-formation dynamics.

First, this paper enriches the theoretical plurality of the field by integrating the antecedents and outcomes of dynamics and their moderating effects. Second, this paper proposes a new scholarly perspective – “alliance dynamic capabilities” – to address the “disruption vs adaption” debates regarding the outcomes of alliance post-formation dynamics in current research. Third, this paper presents several promising future research directions with the aim to advancing the literature on alliance post-formation dynamics.