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The Resource‐Based View of the Firm (RBV) has become an important stream of literature in strategic management. RDV's main prescription is that strategic assets are crucial determinants of sustainable competitive advantage and thus firm performance. Unfortunately, little empirical research has been occasioned to substantiate that prescription. Part of the difficulty in empirically testing RBV's main prescription lies in identifying resources capable of being strategic assets. This article combines RBV logic, the definition of strategic assets, Hall's studies, and the logic embodied in several streams of management literature to explain why strategic assets are intangible in nature, to show that not all intangible resources are strategic assets, and to demonstrate that company reputation, product reputation, employee knowhow, and organizational culture possess the characteristics of strategic assets. That is the foundation for the proposed hypotheses and proposed conceptual model presented in this paper for testing RBV's main prescription. We also discuss the practical, theoretical and empirical implications of this paper and make suggestions regarding empirical testing.

The aim of this paper is to advocate and implement cointegration methods for the estimation of interconnectedness of service quality and customer loyalty as intangible strategic assets within management decision.

Using longitudinal time series quarterly data on loyalty and service quality, the paper uses cointegration methods to empirically estimate the weight of interconnectedness of customer loyalty and service quality as intangible strategic assets.

The research evidence suggests that customer loyalty and service quality are interconnected intangible strategic assets that managers can develop, accumulate, estimate and deploy for superior competitive advantage.

To the extent that the global economies are increasingly service‐driven, managerial capability to estimate intangible strategic assets as drivers of superior competitive advantage will remain strategically important. Assumedly, this paper is the first to illustrate how cointegration methods can be used by managers to estimate interconnectedness of intangible strategic assets. In this sense, to the extent that this method is new to managers, it represents another toolkit of intangible strategic asset management for managers.

This study analyses the determinants of the value of a portfolio of real options and explores implications for strategic management. It focuses the analysis on four elements: the number of real options in the portfolio, constraints on the number of options that can be exercised, the volatility of underlying assets, and the correlation between underlying assets. These elements are articulated around a trade-off between growth options and switching options and are applied to different strategic situations of technological, market, and macroeconomic uncertainty.

This paper aims to address the use of modelling and simulation tools to enhance intangible process assets management by simulating and automating their characterization depending on their quality and impact on an organizational business goal.

The authors conducted a study comparing two simulation-based approaches to characterize intangible assets: system dynamics and agent-based simulation.

Strategic business studies have not yet considered the use of simulation techniques to characterize the intangible assets at length. The proposed solution introduces significant improvements for strategic data visualization, providing company stakeholders with a practical and helpful prism through which to view an easily adaptable, cheap and meaningful source of information about their company’s process assets, and their behaviour based on operation indicators.

This research offers decision-makers in knowledge-intensive organizations alternatives for effective strategic decision-making and for leveraging prospective views based on the specification of the organization’s knowledge. To do this, stakeholders will be able to use very promising low-cost simulation-based tools to create practical scenarios and potential situations that generate inputs for debate and decision-making by senior and middle management.

This paper reports an unprecedented comparative study of system dynamics and agent-based simulation to speed-up the characterization of the intangible process assets based on their quality and impact on strategic goals. It stresses the benefits and implications of the use of these techniques for better strategic management.

The purpose of this paper is to launch a dynamic strategic framework for a manufacturing firm for the digital age. The paper's dynamic capabilities‐ and strategic options‐based framework is comprised of the following key issues: how to sense the weak signals at the customer interface and how to formulate them as strategic options; how to exercise these options in the (often) intangible assets markets that are imperfect or even non‐existent; how to appropriate and/or share strategically relevant productive knowledge in order to obtain competitive advantage (CA) over the rivals, (iv) how to recognize the opportunities and threats of the underlying industrial structure, especially the economies of scale and scope and network externalities; and how to proactively reconfigure and reshape the existing knowledge base and capabilities in order to sustain the CA obtained.

The paradigm of creating CA is opened up in the context of knowledge‐based engineering and digital manufacturing. The Porterian five forces model, the resource‐based view and especially its dynamized extension, the dynamic capability view, are used as theoretical starting points. The modern strategic technology management literature will be complemented by means of the concepts of strategic options and related flexibility issues. Some illustrative examples will be offered as well.

In the author's view, the primary sources of sustainable CA in the digital manufacturing can be captured from active asset selection (strategic investments in both tangible and intangible assets), and efficient orchestrating of the global value net in “thin” intangible assets markets. The main determinants of CA are: the competitive nature of external environments, supply and demand conditions of the industry (economies of scale and scope and network externalities), renewal capacity of the organization, the dependence on complementary co‐specialized resources and capabilities, and the strategic role of the appropriability regime.

This paper tries to capture the critical elements of creating sustainable CA in the context of digital manufacturing and it is considered to be useful for strategic decision‐makers. The modern technology strategy management literature is synthesized in our framework and it tries to make the issues more applicable to the strategic management of the companies.

The purpose of this paper is to analyze the relationship between strategic assets and the launch of new products in technology-based incubators (TBIs) in Brazil.

The authors applied two surveys, one for the universe of TBIs’ managers in the state of Sao Paulo, Brazil, and the other to the incubated firms’ managers/owners. Two statistical techniques were used: correlation analysis and multiple linear regression.

The main finding of this paper is that TBIs’ strategies focusing on the supply of knowledge assets and the creation of relationship assets are more effective than strategies focused only on the supply of physical infrastructure for firms located in incubators.

Because the sample of 100 respondents of incubated companies was the result of a non-probabilistic convenience sampling, the outcomes also cannot be generalized.

For managers of TBIs, there is a challenge to focus on the supply of intangible and high value added assets for incubated firms. For managers/owners of incubated firms, the authors provide an orientation to what they should seek or demand when deciding where to place their business in a TBI. For the government, the results of this research may help to formulate public policies to support and incentivize TBIs. For investors, the results can help to define where to seek the most innovative projects.

Innovation and entrepreneurship are understood as sources of wealth creation and social development.

The authors propose in this paper that there is a theoretical gap between traditional theories of innovation and entrepreneurship and the strategic behavior and performance of business incubators and their interconnected stakeholders. Here the authors seek to bridge this gap.

The purpose of this paper is to present the strategic intangible process assets characterization (SIPAC) methodology illustrated by an example of its application to the field of information technology (IT). This is a pioneering methodology for characterizing the impact and quality of intangible process assets and intellectual capital as levers to achieve organizational objectives. This strategic intellectual capital approach will help to identify both intangible assets and indicators geared to meeting organizational objectives. This is of vital importance since the success of an organization can be construed in terms of goal achievement.

The paper illustrates an example of the step-by-step application of the proposed methodology at an IT company. The aim is to describe its use in a real case so that other companies can benefit from the replication of the methodology used.

The proposed methodology (SIPAC) that the authors have designed and applied has been found to be useful and provide an insightful new point of view for strategic decision making in the IT industry taking into account intangible process assets.

The proposed methodology has been exemplified in a real case. This should help organizations to use the methodology to replicate the results.

Each and every organization has know-how represented by intangible assets. This paper meets an identified need to use intangible process assets as levers to help organizations achieve their business goals.

This paper aims to investigate the relationship between strategic asset-seeking intent and firms’ entry strategies of foreign investment in the context of emerging market firms.

This study is based on survey data of 392 Chinese foreign direct investment projects. Structural equation modelling is used for data analysis.

With stronger strategic asset-seeking intent, emerging market multinational enterprises are likely to locate their subsidiaries in developed countries, use a wholly owned subsidiary mode and invest with greater intensity, while they do not have a clear preference in entry timing.

The strategic asset-seeking intent applies not only to emerging market firms but also to small and medium firms in general that have limited resources and a need to catch up with stronger competitors. This study therefore provides guidance to these firms.

This study contributes by investigating how the strategic asset-seeking intent affects firms’ strategies. The findings have practical implications for strategic managerial decisions that lead to sustained competitive advantage and improved firm performance.

Property is a key investment asset class that offers considerable benefits in a mixed-asset portfolio. Previous studies have concluded that property allocation should be within the 10-30 per cent range. However, there seems to be wide variation in theory and practice. Historical Australian superannuation data shows that the level of allocation to property asset class in institutional portfolios has remained constant in recent decades, restricted at 10 per cent or lower. This is seen by many in the property profession as a subjective measure and needs further investigation. The purpose of this paper is to compare the performance of the AU$431 billion industry superannuation funds’ strategic balanced portfolio against ten different passive and active investment strategies.

The analysis used 20 years (1995-2015) of quarterly data covering seven benchmark asset classes, namely: Australian equities, international equities, Australian fixed income, international fixed income, property, cash and alternatives. The 11 different asset allocation models are constructed within the modern portfolio theory framework utilising Australian ten-year bonds as the risk free rate. The Sharpe ratio is used as the key risk-adjusted return performance measure.

The ten different asset allocation models perform as well as the industry fund strategic approach. The empirical results show that there is scope to increase the property allocation level from its current 10-23 per cent. Upon excluding unconstrained strategies, the recommended allocation to property for industry funds is 19 per cent (12 per cent direct and 7 per cent listed). This high allocation is backed by improved risk-adjusted return performance.

The constrained optimal, tactical and dynamic models are limited to asset weight, no short selling and turnover parameters. Other institutional constraints that can be added to the portfolio optimisation problem include transaction costs, taxation, liquidity and tracking error constraints.

The 11 different asset allocation models developed to evaluate the property allocation component in industry superannuation funds portfolio will attract fund managers to explore alternative strategies (passive and active) where risk-adjusted returns can be improved, compared to the common strategic approach with increased allocation to property assets.

The research presents a unique perspective of investigating the optimal allocation to property assets within the context of active investment strategies, such as tactical and dynamic models, whereas previous studies have focused mainly on passive investment strategies. The investigation of these models effectively contributes to the transfer of broader finance and investment market theories and practice to the property discipline.

In this paper the impact of the top management team’s (TMT) cognitive and demographic characteristics on the firm’s strategic assets management performance is evaluated. Strategic assets are those assets as defined by the resource‐based value of the firm, also often referred to as core competencies. The performance measure used is relative efficiency in converting the firm’s strategic assets into firm performance measured by return on investment and return on sales. The technique used to measure relative efficiency is data envelopment analysis. Of the 13 TMT characteristics evaluated about half were statistically significant. The study was performed on firms in the domestic airline industry.