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The field of research on resource-based competition is full of nuanced terminology and misunderstandings. This has led to confusion, and thus the authors offer a critical review, which provides a structure and clarity to this subject. The paper aims to discuss these issues.

This analysis structures the literature on resources, capabilities, and competences into three distinct schools of thought: the resource-based view (RBV) of the firm, the rational-equilibrium school; the dynamic capability-based view of the firm, the behavioural-evolutionary school; and the competence-based view of the firm, the social constructionist school.

The authors uncover 13 criticisms of the most widely adopted theoretical framework of the RBV of the firm – Valuable-Rare-Imperfectly imitable-Organisation (VRIO).

The misinterpretation and neglect of the classic scholarly work may help to explain why the VRIO framework has been elevated from a view to a theory and why it has received so much attention.

The authors show how the relative ease of measuring resources as compared to (dynamic) capabilities and (core) competencies has helped raise the profile of RBV.

This analysis contributes to management research by illustrating the deviation among the three schools of thought; the authors show how this has contributed to wide terminological confusion and offer a structure to help researchers situate their work within the relevant school of thought.

The purpose of this paper is to investigate the effect competition has on organizations’ use of high-performance work systems (HPWSs). Specifically, using the resource-based view (RBV) of the firm, it develops a logic for why firms will increase their use of an HPWS when competition increases. It investigates the direct effect of competition on HPWS use. Additionally, it takes a look at the impact market commonality and resource similarity have on the influence of competition on organizations’ use of an HPWS.

Survey method design was used to collect data about organizations from 127 alumni of two large Midwestern universities in the USA. Data were analyzed using OLS regression analysis.

The main finding of this paper is that competition increases the use of HPWSs. There was not statistical support for the effect of market commonality or resource similarity to influence the competition–HPWS relationship.

This study uses the RBV of the firm to understand how competition influences the adoption of HPWSs. Additionally, it also investigated the effect of market commonality and resource similarity, which has not previously been looked at.

As our world becomes increasingly more technology driven and global competition continues to intensify, the technology resource components available to a firm will be required to become more sophisticated in order to achieve and maintain a competitive advantage. Higher levels of sophistication are achieved through technological innovation that is effectively managed. But, to effectively manage technological innovation, we must first come to a clearer understanding of the resource components of technology. This paper describes the way various people perceive the meaning of technology, discusses the confusion that exists, and suggests a construct for classifying the components of technology to mitigate the confusion. Finally, a framework for benchmarking and technology assessment is presented to suggest a way for a firm to better manage its technology component sophistication level for global competition.

The paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).

The model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model.

The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

One very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author’s knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility.

Argues that operations strategy research should integrate recent theories from the resource‐based view of strategic management. Going beyond the model of Hayes and Wheelwright, this would call for the end of the market‐based view, where operations strategy merely follows the directions set by the marketing function. It would emphasize the dynamic development and leveraging of competencies and capabilities in order to set new business diversification strategies. A new paradigm of operations strategy could emerge, where “management fundamentals” such as learning and culture would be actively integrated within operations, in order to become key sources of competitive advantage. Accordingly, the operations function could progressively: take the leadership of strategy formulation; create “portfolios” of optional capabilities for strategies of organizational agility; and implement world‐class practices more effectively through evolutionary strategic frameworks.

This research aims to provide a theoretical framework for exploring how firms can respond to the growing threat of natural resource scarcity. Specifically, the role of closed‐loop supply chain management is examined as a means for creating resource advantages that can lead to marketplace competitive advantages.

The research extends previous theoretical research, integrating natural resource scarcity and closed‐loop supply chain management for the first time. Resource‐advantage theory is employed as the theoretical lens for the research model and propositions.

The findings deepen understanding of the forces that create natural resource scarcity conditions in the supply chain, and highlight the need for higher order closed‐loop capabilities that have the ability to mitigate natural resource scarcity.

The theoretical model and six research propositions suggest relationships between natural resource scarcity, closed‐loop capabilities, and firm level performance that need to be tested empirically. Future research opportunities and methodologies are suggested.

Growing natural resource scarcity is already having a major impact on many firms and industries; therefore, this research has significant managerial implications due to supply risks and potential disruptions caused by insufficient natural resources in current and future supply chains.

This paper seeks to increase discussion about natural resource scarcity and bring it into focus as a relevant supply chain topic related to closed‐loop supply chain capabilities and the internal firm level resources needed to ensure performance in a changing world.

Building on the resource-based view of the firm and complex systems theory, we argue that the effective utilization of knowledge-intensive teamwork (KITwork) can be a source of sustained competitive advantage for firms that pursue a variety of strategies and compete in a variety of industries. KITwork is a multi-dimensional, multi-level social process that promotes knowledge flows within and between organizations. Through KITwork, the knowledge resources of individual employees are transformed into a capability that contributes to the effectiveness of knowledge-based organizations. After introducing and explaining the concept of KITwork, we explore the challenges that organizations must address in order to design HRM systems that support and facilitate KITwork.

The resource‐based view of the firm (RBV) is an important, emerging theory of firm heterogeneity. It is well grounded in industrial economics and has benefited in its development from a multiplicity of contributions by management writers. But like any developing body of knowledge, it is not short of confusion, ambiguity and conceptual and empirical difficulties. This paper provides an integrated review of the resource‐based view of the firm in an effort to eliminate much of the ambiguity caused by weak taxonomies and the inconsistent and conflicting use of terminology. It provides a detailed insight into the logic of the RBV and illuminates its contributions to the debate on the nature of competitive advantage. The paper then evaluates the status of some ongoing debates that are germane to our understanding of competitive advantage and outlines prospective directions for the development of the resource‐based view.

Determining the strategic thrust of the firm, it may be argued, is the principal task of top management. This task is aided by recent theories of business and marketing strategy, including the normative imperatives based on industry factors, resource factors, competences, market orientation, and relationship marketing. Choosing wisely from among the various theories of strategy requires an accurate understanding of the contexts of competition. This article argues that resource‐advantage theory, an evolutionary, disequilibrium‐provoking process theory of competition, provides that understanding. That is, resource‐advantage theory grounds theories of business and marketing strategy.