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Purpose – Agribusiness is crucial for the Brazilian trade balance surplus. Innovation, not only that focused on technology or productivity, is a basic condition for its development. The context of the agribusiness activities in a developing country is dynamic and requires a multilevel and multifaceted view. This suggests that these features need to be incorporated both in the theories and methods. Therefore, we propose a method, from within the perspective of Configurations Theory, of capturing this dynamic multidimensionality. The method was applied in the context of the rice-farming business in Southern Brazil.

Methodology/approach – The proposed method, which we refer to as a Case Study Method with Multiple Units of Analysis and Mixed Methods, was applied in a research organization in an attempt to identify the evolution of innovation while considering a theoretical perspective based on multilevel rules.

Findings – Six different configurations in the temporal organization of research were identified. These six configurations describe the evolution of four emphases given to innovation, the drivers associated with the evolution of these emphases, and the changes that have occurred over time.

Social implications – The results may provide support for new public policies for rice farming and lead to improvements in the organization's strategies for innovation.

Originality/value of chapter – The combination of methods used (Case Study, Qualitative Comparative Analysis, Social Network Analysis, Path Dependence, and Patterns of Decision Making) to study configurations, together with the dynamic approach to innovation based on multilevel rule, is unique.

In organizational research the object of study is often a process, that is, a complex of events and activities that unfolds over time. In this chapter we focus on temporally ordered configurations, which can be defined as those configurations in which conditions occur in a specific temporal order. We illustrate the aims, characteristics, and limitations of several approaches that have been proposed as tools for the analysis of temporal order. Our illustration involves an analysis of the “gestation activities” of nascent entrepreneurs, that is, persons involved in the creation of a new firm. We aim to identify temporal sequences of gestation activities that generate or allow a successful outcome of the gestation process, while an occurrence of the same activities in another temporal order will not generate or allow that outcome. First we discuss Event Structure Analysis and Optimal Matching and conclude that these approaches cannot provide the kind of analysis that we are aiming at in this chapter. Then we discuss Temporal Qualitative Comparative Analysis, for which our analysis points to technical limitations that constrain its application. We then present and discuss an alternative approach, Temporal Necessary Condition Analysis.

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.

The growing literature on complementarities has drawn attention to how the effects of different organizational structures, practices, and institutions are interdependent. Rather than one best way of organizing, complementarities suggest that the effectiveness of one organizational element may be dependent on the presence or absence of another particular element. Consequently, organizational arrangements often display “multiple equilibria” or what is known as equifinality, whereby multiple pathways may lead to the same or similar outcomes. While being a source of theoretical innovation, the configurational nature of complementarities has posed a number of challenges. This chapter reviews the emerging literature on complementarities to identify a series of conceptual challenges related to understanding complementarities as organizational configurations, and examines the methodological challenges in studying how such elements combine to produce joint effects on performance. The chapter argues that new set-theoretic methods using Qualitative Comparative Analysis (QCA) may present a very useful methodological alternative to studying complementarities. The chapter illustrates this potential by re-analyzing past work by Aoki, Jackson, and Miyajima (2007) on relationships between ownership structure, board structure, and employment practices of listed firms in Japan to show evidence of complementarities associated with hybrid configurations that combine market and relational forms of organization.

This chapter shows how to construct and test case-based macro models. The chapter makes use of national data to examine influences on quality-of-life of national cultures as complex wholes and entrepreneurship activities in Brazil, Russia, India, China, Germany, and the United States (the six focal nations) plus Denmark (a small-size, economically developed, nation). The study tests McClelland’s (1961) and more recent scholars’ proposition that some cultural configurations nurture entrepreneur startups, while other cultures are biased toward thwarting startups. The study applies complexity theory to develop and empirically test a general theory of cultures’, entrepreneurship’s, and innovation’s impact on quality-of-life across nations. Because culture represents a complex whole of attitudes, beliefs, values, and behavior, the study applies a set-theoretic approach to theory development and testing of alternative cultural configurations. Each of 28 economical developed and developing nations is scored for the level of the national cultures for each of six focal countries. The study selected for the study enables multi-way comparisons of culture-entrepreneurship-innovation-QOL among large- and small-sized developing and developed nations. The findings graphically present the complex national cultural configuration (x-axis) with entrepreneur nurture/thwart (y-axis) of the 28 nations compared to the six focal nations. The findings also include recognizing national cultures (e.g., Switzerland, the United States) nurturing entrepreneurial behavior versus other national cultures (e.g., Brazil and India) thwarting entrepreneurial behavior. The study concludes with a call to recognize the implicit shift in culturally implicit thinking and behavior necessary for advancing national platforms designed to successfully nurture entrepreneurship. Entrepreneur strategy implications include the observation that actions nurturing firm start-ups by nations low in entrepreneurship will unlikely to be successful without reducing such nations’ high levels of corruption.

This study aims to explore the relationship between IT and HRM in the context of manufacturing SMEs, more specifically the relationship between strategic HRM and e-HRM as well as the performance effects of this relationship. The conceptual framework is founded upon the resource-based view (RBV), specifically upon the strategic HRM and e-HRM capabilities of SMEs and upon the strategic alignment of these capabilities in the form of capability configurations or “gestalts.”

To answer the research questions, a questionnaire was constructed and mailed to 1854 manufacturing SMEs in the province of Quebec, Canada, producing 216 valid responses that were used for statistical analysis purposes. Capability configurations were identified through a cluster analysis of the e-HRM and strategic HRM capabilities developed by these firms.

Using structural equation modeling to validate the research model, a causal analysis confirmed a positive influence of the sampled SMEs’ strategic orientation upon their development of strategic HRM capabilities. More importantly, a higher level of alignment between the SMEs’ strategic HRM and e-HRM capabilities was associated to a higher level of strategic HRM performance.

To our knowledge, ours is the first study to show interest in the effect of the strategic alignment of HRM and IT capabilities upon HRM performance, by adopting a configurational perspective and considering organizational IT from a functional point of view. Given the specific context of SMEs, the focus was on e-HRM capabilities related to the IT infrastructure of these organizations and the IT competencies of individuals related to HRM.

This chapter sets forth a form of comparative analysis that is explicitly organizational, in the sense that it uses cross-level, contextual or compositional, analysis to explain organizational-level observations, especially comparisons between organizations. Inter-organizational comparisons often surface paradoxical results, in the form of unexpected differences among similar kinds of organizations, or unexpected similarities among different kinds of organizations. The value of using comparative analysis in these cases is that the information required to unravel organizational-level puzzling results is often located at a higher or lower levels. The proposed form of comparative analysis thus extends the conventional top-down, unidirectional form by adding a bottom-up component – making it bi-directional. In addition to introducing an organization-centered form of comparative analysis, the chapter offers suggestions for its practice and speculates about the potential benefits of its broad application within organizational studies.

The contrast of multilevel and comparative research may seem counterintuitive at first. After all, one might argue that comparative research on organizations by necessity spans several levels of analysis (Rokkan, 1966). Yet, multilevel and comparative research on organizations present rather distinct traditions in organization studies, each with its own epistemological assumptions and associated methods. Accordingly, an approach that aims to incorporate both multilevel and comparative ideas needs to start with taking inventory of these prior literatures to situate itself. In the following, we thus turn to the literatures on multilevel and comparative research as different traditions with surprisingly little overlap.

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial phenomena. We illustrate the potential for set-theoretic methods to inform this literature by offering best practices regarding how qualitative comparative analysis (QCA) can be used to explore research questions of interest to entrepreneurship scholars. Specifically, we introduce QCA, document how this approach has been used in management research, and provide step-by-step guidance to empower scholars to use this family of methods. We put a particular emphasis on the analytical procedures and offer solutions to dealing with potential pitfalls when using QCA-based methods and highlight opportunities for future entrepreneurship research.

The aim of this chapter is to: (1) model culture as a configuration of multiple values, (2) identify different culture archetypes across the globe, and (3) empirically demonstrate heterogeneity in culture archetypes within and across 52 countries. We use Schwartz values from the World Values Survey (WVS) and the archetypal analysis (AA) method to identify diverse culture archetypes within and across countries. We find significant heterogeneity in culture values archetypes within countries and homogeneity across countries, calling into question the assumption of uniform national culture values in economics and other fields. We show how the heterogeneity in culture values across the globe can be represented with a small number of distinctive archetypes. The study could be extended to include a larger set of countries, and/or cover a broader range of theoretically grounded values than those available in the Schwartz values model in the WVS. Research and practice often assume cultural homogeneity within nations and cultural diversity across nations. Our finding of different culture archetypes within countries and similar archetypes across countries demonstrates the important role of culture sharing and exchange as a source of reducing cultural conflicts between nations and enhancing creativity and innovation through interaction and integration in novel ways. We examine culture as a configuration of multiple values, and use a novel AA method to capture heterogeneity in culture values within and across countries.