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The revolution experienced in the banking industry over the last decade has led to a constant series of changes with banks attempting to adjust their internal organisation to suit the ever‐changing external environment. The author includes edited extracts from his research into this process of strategic formulation and the translation of marketing and planning concepts to meet the needs and character of the corporate market in Britain. Major issues influencing the development of a competitive strategy are examined, topics of strategic formulation, differentiation and the nature of transactions between banks and their customers are discussed, and the findings of market and industry analysis, outlining the practical use to which research findings have been put, is illustrated. Findings reveal that banks have been forced to identify the profitability and content of the constituent parts of their total business, and market segmentation is now seen as a necessary discipline. The current economic environment requires not only a more rapid adjustment to change, but to be effective must create within the organisation a culture which induces managers to act as agents of change.

The resource-based view (RBV) of the firm focuses on how firm-level assets and capabilities influence firm performance. Scholars have noted the need for studies grounded in the RBV to account for the role of the strategic group level, but uncertainty remains about how to do so. Random coefficients modeling (RCM) provide an appropriate technique to integrate these two levels of analysis, but its use has been limited in strategic management research to date. I review research integrating firm and strategic group levels and provide a roadmap for future research seeking to integrate these two levels’ influences on firm performance, and use RCM to illustrate the effects of firm resources on performance under three depictions of the strategic group level culled from strategic management research. Findings suggest that interpretations about the efficacy of resources’ influence on performance vary considerably across methodological specification. Next, I use RCM to illustrate how strategic management researchers can further integrate the firm and group levels by demonstrating how variables at the group level of analysis may interact with firm-level characteristics. I conclude with suggestions for future research using RCM to integrate the strategic group into multilevel studies predicting firm performance.

A central theme in the strategic groups literature is the theoretical relationship between groups and firm performance. The empirical evidence is conflicting, however. The aim of this research is to study this linkage through two analyses. Thus, the analysis that has been traditionally used – performance differences between groups – is complemented with an analysis of performance differences within each group. To set up strategic groups, we analyze firms operating in the construction industry, using specific variables associated with generic strategies.

Argues in favour of the convenience of using strategic groups analysis (SGA) as a business management tool that is especially useful for strategic marketing planning. To illustrate the great versatility offered by SGA, we take as a reference the results obtained from a study of the Spanish retail grocery sector. By way of this empirical work, we analyse how SGA responds to some of the information demands considered as essential for the design of the marketing strategy of every firm (the analysis of the environment and the main alternative strategies, the attractiveness of each strategy, the analysis of rivalry, the strengths and weaknesses of firms, the threats and opportunities offered by the market, etc.). In summary, the paper shows that SGA is a powerful tool which could help managers to concentrate the activity of their firms in solid strategic options.

The objective of this study is to explore the structural attributes of the pharmaceutical industry before the onset of the COVID-19 pandemic by examining the relationship between inventory and firm performance and developing a taxonomy of pharmaceutical firms based on the earns-turns matrix.

This study examines the inventory–firm performance linkage, considering both total inventory and its discrete inventory components in pharmaceutical firms. In addition, this research develops a new taxonomy of pharmaceutical firms based on the earns-turns matrix. A large panel dataset of firms in the US pharmaceutical industry was collected for the period 2000–2019.

The results reveal that strategic groups identified based on this taxonomy show different levels of profitability and inventory turns in the earns-turns matrix. Most pharmaceutical firms moved from the low-right to the top-left section in the earns-turns matrix, indicating that these firms have generally pursued profitability rather than effective inventory management.

This study explores the structural attributes of the pharmaceutical industry using the earns-turns matrix. This two-dimensional analysis may not, however, capture the full complexity of inventory–firm performance dynamics.

The mapping of strategic groups on the earns-turns matrix provides a useful tool for visual representations of the dynamics of strategic groups in terms of financial performance and inventory management performance. Practitioners can use the earns-turns matrix to benchmark their firm's position against their competitors.

This study broadens the scope of operations management research by introducing the earns-turns matrix as an empirical validation tool for operational and strategic management theories. This study emphasizes the effectiveness of the earns-turns matrix in analyzing strategic groups of pharmaceutical firms.

The analysis of strategic groups has important implications for marketing in order to identify a firm’s competitive position. Aims to analyse the development of the competence in an industry. Hypothesizes that the analysis of strategic groups is only meaningful when it is determined that the groupings obtained are not random events within a particular industry. Uses multivariate statistical tests to determine the stable sub‐periods, the strategic groups, and their dynamic characteristics over the years. Applies this technique to the Spanish banking sector and detects a relative intra‐industrial instability, and a significant change in the number and strategy of the identified groups with the passing of time.

This paper develops a new model for analysing industry competitive structure. The new model combines traditional strategic group analysis with stakeholder theory. Thus we have a model that incorporates all actors into the industry analysis. Company‐stakeholder clusters reveal the hidden, and often, crucial relationships that determine firm longevity. Using the new model, the small production canning industry is analysed.

Strategic groups research has been hampered by the poor alignment between theory and methods. This has been due in large part to the lack of significance tests for cluster analysis. Now that significance tests are available, the theoretical and methodological implications are discussed. The paper aims to discuss these issues.

The theory behind strategic groups is reframed to capitalize on the available significance tests. Subsequently, the significance tests are also modified to fit the proposed theory. Due to this integrative approach, this is both a theoretical and a methodological paper.

In lieu of significance tests, finding differences in performance emerged as the litmus test for the existence of discrete strategic groups. The concept of strategic groups gradually evolved to fit this requirement. Now that significance tests are available, these legacy effects of the structure-performance link can be removed. This reveals that three conflicting concepts have been sharing the label of strategic groups: strategic categories, interdependent strategic groups and strategic performance groups. The theory also reveals that the significance tests developed in ecological research need modifications for use in strategic groups research.

A theory is proposed for interdependent strategic groups and a significance test of external isolation is proposed as part of this integrative solution.

This integrative solution appears to resolve the historical mismatch between theory and methods that has plagued this field since its inception. This creates a variety of intriguing areas for future research.

The analysis of strategic groups has important implications in marketing in the identification of a firm’s competitive position. The aim of this study is to demonstrate that differences in the performance between the strategic groups within an industry exist. The initial hypothesis is that mobility barriers between the groups mean that their members have a relative advantage over other participants in the sector as far as expenses regarding imitation are concerned. Therefore, differences in profits tend to be maintained on a medium‐ and long‐term basis. However, the majority of empirical studies do not show the differences in the perfomance in a clear way. The methodology used consists of different multivariant statistical techniques. On their application to the Spanish savings banks, a limited support for this relation is obtained for some variables.

The purpose of this paper is to integrate aspects of the literature on strategic and performance groups and explicitly derive strategic/performance groups which exhibit differences with respect to both strategy and performance, as well as display associations and potential interrelationships between the two sets of variables.

A two‐way clusterwise bilinear spatial model was formulated (e.g. a scalar products or vector multidimensional scaling model (MDS)) for the analysis of two‐way strategic and performance data which simultaneously performs MDS and cluster analysis. An efficient alternating least‐squares procedure was devised that estimates conditionally globally optimum estimates of the model parameters within each iterate in analytic, closed‐form expressions.

This bilinear MDS methodology was deployed in the context of strategic/performance group estimation using archival data for public banks in the NY‐NJ‐PA tri‐state area. For this illustration, four strategic/performance groups and two underlying dimensions were found.

Consideration of both strategy and performance data should be employed in describing the heterogeneity amongst firms competing in the same industry.

The paper provides a new spatial methodology to derive strategic/performance groups in any given industry to more completely summarize intra‐industry heterogeneity.