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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.

Literature sparsely documents the association between the deviant behavior of a firm and its financial policies. Trade credit is one of the most critical financial policies of a firm. In this study, the authors examine the association between strategic deviance and trade credit.

The authors explore a strategy-based explanation for trade credit by examining whether strategic deviance affects trade credit using a sample of 33 countries from 1996 to 2020. The authors test the hypothesis using static OLS regression models. To address autocorrelation and endogeneity issues, the authors use dynamic OLS models, lag models, and instrumental variable approach.

The authors find that an increase in strategic deviance reduces both demand and supply of trade credit, and the study’s results indicate that a one standard deviation increase in strategic deviance leads to a 1.34% decrease in the demand for trade credit. Also, a one standard deviation increase in strategic deviance leads to a 2.26% fall in the supply of trade credit.

This study facilitates managers to formulate trade credit policies when choosing a deviant strategy.

To the best of the authors’ knowledge, this is the first study to explore the association between strategic deviance and trade credit policies.

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 explore the concept of data assets and how companies can assetize their data. Using the literature review methodology, the paper first summarizes the conceptual controversies over data assets in the existing literature. Subsequently, the paper defines the concept of data assets. Finally, keywords from the existing research literature are presented visually and a foundational framework for achieving data assetization is proposed.

This paper uses a systematic literature review approach to discuss the conceptual evolution and strategic imperatives of data assets. To establish a robust research methodology, this paper takes into account two main aspects. First, it conducts a comprehensive review of the existing literature on digital technology and data assets, which enables the derivation of an evolutionary path of data assets and the development of a clear and concise definition of the concept. Second, the paper uses Citespace, a widely used software for literature review, to examine the research framework of enterprise data assetization.

The paper offers pivotal insights into the realm of data assets. It highlights the changing perceptions of data assets with digital progression and addresses debates on data asset categorization, value attributes and ownership. The study introduces a definitive concept of data assets as electronically recorded data resources with real or potential value under legal parameters. Moreover, it delineates strategic imperatives for harnessing data assets, presenting a practical framework that charts the stages of “resource readiness, capacity building, and data application”, guiding businesses in optimizing their data throughout its lifecycle.

This paper comprehensively explores the issue of data assets, clarifying controversial concepts and categorizations and bridging gaps in the existing literature. The paper introduces a clear conceptualization of data assets, bridging the gap between academia and practice. In addition, the study proposes a strategic framework for data assetization. This study not only helps to promote a unified understanding among academics and professionals but also helps businesses to understand the process of data assetization.

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.

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.