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This paper aims to identify the archetypes of marketing mix standardization-adaptation in MNC subsidiaries and to examine the relationships between MNC subsidiary strategy, environment and performance through the theoretical lenses of fit and equifinality.

The authors use a mail survey to collect data from MNC subsidiary business units located in multiple countries. They apply a novel archetypal analysis method to identify the diverse archetypes of marketing mix standardization-adaptation in MNC subsidiaries. Finally, through cross-tabulation and regression analysis, they examine the relationships between MNC strategy, environment and performance.

They identify four archetypes of MNC subsidiary standardization-adaptation including a new archetype that is not recognized in the literature. This analysis finds partial support for both fit and equifinality, suggesting complementarity between the two theories.

The study could be extended with longitudinal data to examine the dynamics in MNC marketing mix strategy and performance in response to the changing business environment.

The findings suggest that MNC subsidiary managers could deploy a broader set of international marketing strategy configurations than those currently prescribed to enhance performance.

The authors use a novel configuration-based archetypal analysis method and extend the theoretical typology of international marketing strategies pursued by MNC subsidiaries. The partial support for both fit and equifinality expands the theoretical lens through which we can examine the relationships between MNC marketing strategy, environment and performance.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

This chapter shows how configurational approaches can be a valuable inquiring system for examining and understanding complex messy phenomena in the area of digital business strategy in turbulent environments such as digital ecodynamics. Digital ecodynamics is defined as the holistic confluence among environmental turbulence, dynamic capabilities, and IT systems – and their fused dynamic interactions unfolding as an ecosystem. With fuzzy-set qualitative comparative analysis (fsQCA) we analyze firm-level field survey data and describe how IT systems, organizational dynamic capability and environmental turbulence simultaneously combine to result in multiple configurations, which have different causal structures to produce competitive firm performance. This equifinality shows how configurational approaches can create new practical insights in digital ecodynamics by suggesting multiple strategic options from which organizations can choose the best solution that fits their context.

This chapter acknowledges the difficulties in the empirical study of social ventures – broadly defined as market-driven ventures that produce social change – that arise from the vast differences among social venture firms in terms of missions, goals, identities, strategies, and structures. In an effort to improve research in this area and advance the field of social entrepreneurship, the authors advocate approaching social ventures from a configurational perspective.

This chapter begins with a discussion of what social ventures are and why organizational configurations – sets of firms that are similar across key characteristics – may be an appropriate perspective to utilize. Then, two methods – cluster analysis and set-theoretic analysis – are discussed in detail as ways to approach the study of social venture configurations. Details include descriptions of the techniques, instructions for use, examples, and limitations for each.

This chapter identifies research opportunities using configurations approaches in social venture research. Substantial possibilities for multilevel and temporally based research are discussed in depth.

A configurational approach can address the incongruence and non-findings in current social venture research and offers new opportunities for future research.

Configurational theory can significantly enhance understanding of organisational strategy and diversity. Despite this, there have been limited efforts to examine the value and utility of configurational research as a method for realising manufacturing strategies. This paper introduces a strategic management framework based on configurational theory and an evolutionary classification method (cladistics). Focusing on agile manufacturing concepts, the framework provides a system for collecting and organising information on manufacturing routines and capabilities. This facilitates the processes of strategic analysis, strategic choice and strategic information.

While innovative service systems may create substantial value for certain stakeholders, they often destroy value for others. This value paradox frequently leads to unsustainable service systems. The purpose of this paper is to explore the use of multiple theories to pinpoint and explain these value paradoxes, build a framework allowing potentially more sustainable value configuration of service systems and develop an agenda for future research. The framework is illustrated with examples from the hospitality industry.

The paper draws on prevalent theories and approaches, including service-dominant logic, business modeling, transaction cost economics, stakeholder theory, configuration theory and set theory, to develop a value configuration framework.

In a service system, the configuration of resources and relationships between these resources (i.e. the set of value propositions for various stakeholders of the system) determines which stakeholders will gain and which will lose and to what extent. For that reason, insight into the range of possible service configurations – or business models – will help decision makers consider the effects on various stakeholders, and, where possible, set their priorities right and make their businesses more sustainable. The research produces a rich research agenda.

Examples from hospitality allow an in-depth examination of a range of dynamic configurational and technological innovations, but some idiosyncratic characteristics of the context may impede the wider applicability of the conceptual framework. Future research could complement this work by studying other service sectors.

The paper aims to provide decision makers in the service industry with a conceptual tool to explore, diagnose and, if needed, adjust the value configuration of their service operations. In practice, this tool may help explicate the service system configuration, thus helping managers determine their organizations’ desired positioning in terms of value creation and destruction, and to choose strategic directions by adapting configurations.

Legislation and regulations are being adapted to various new service configurations. This paper attempts to – at least conceptually – distinguish different service configurations, allowing policy makers to identify the value trade-offs between stakeholders, including society at large.

Previous research focused primarily on value creation by innovative services and business models. Value creation for one stakeholder, however, could lead to value destruction for another. Taking this paradox into consideration may result in more open service ecosystems that explicitly consider sustainability and value implications in multiple dimensions and for a broader group of stakeholders.

The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance.

Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within- and cross-case analyses to examine seven LMSNs, employing a configuration approach.

The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance.

The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency.

This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.

On 10 September 2007 the world was stunned by the news that Anita Roddick – the founder of The Body Shop – was dead at the age of 64. Everyone recognizes the success of The Body Shop, but it is not easily explained using traditional strategic thinking. This paper aims to shed new light on Anita Roddick's entrepreneurial and managerial flair, as well as on her legacy to the field of management.

Configuration as a quality is an intriguing and intuitively appealing new idea. The main innovation is the premise that organizational elements form common gestalts such that each can be best understood in relation to the other elements in the configuration. This paper probed the conceptual notion of configuration as a quality in an empirical sense by revisiting one of the classic Harvard Business School (HBS) case studies: The Body Shop International.

The paper shows The Body Shop as a good example of a comprehensive configuration that allows immediate intuitive apprehension of the new idea of configuration as a quality.

The main issue is the limited depth of analysis that has been achieved through the single HBS case as the main source of evidence. As such, although the propositions put forward seem highly plausible, the supplementary explanation still remains incomplete, opening opportunities for further research.

Re‐visiting classic case studies such as the HBS Body Shop International can stimulate the debate and fuel the process of theory building through the amalgamation of diversified old and new perspectives of the same phenomenon.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

Design approaches to innovation are booming in both the academic and practitioner worlds. Tech giants are proposing different methodologies to develop technological innovation leveraging design principles, for example, Amazon with working backward and Google with Design Sprint. However, little is known on the role of these methodologies in managing the knowledge translation among different stakeholders. This paper aims to investigate how Design Sprint approaches can face digital challenges and foster collaborations.

Through interviews and participatory observations of ten exploratory cases of SME adoption of the Design Sprint methodology, data were collected, organized, clustered and then validated. Furthermore, by adopting a configuration theory perspective, the data have been processed to contribute to the emergence of two Design Sprint organizational taxonomy.

Competences, type of design challenge and the process followed emerge from the cases as key drivers of different Design Sprint configurations. Moreover, the configuration theory helped in identifying two Design Sprint taxonomies named Willing and Wondering configurations. Finally, the paper provides managers with practical guidelines on how to leverage these configurations to make this approach more effective for SMEs and how this method helps the knowledge translation.

The value and originality of the paper are in defining Design Sprint from a theoretical point of view and offering practical guidelines on how to adapt it to the particular context of collaborative digital environments of SMEs. Moreover, it contributes to enlarging the relevance of configurational theory in the creative industries.