All Publications
Manufacturing firms face complex after-sales challenges, including spare part shortages. While additive manufacturing (AM) offers a solution by minimizing costs and complexity, not all firms adopt AM equally, and research on differences in AM adoption in the context of spare part shortages is surprisingly scarce. To close this knowledge gap, we apply the awareness-motivation-capability (AMC) perspective. Our comparative case study of AM applications in 17 firms identifies three approaches how firms adopt AM—the corrective, preventive, and anticipatory approach. We find that the specific configuration of contextual factors related to a spare part shortage determines the approach firms follow. Using the AMC perspective, we discover and explain why firms differ in adopting AM despite suitable spare part characteristics and similar contexts. Through uniquely analyzing spare part shortages, our study contributes to AM research by challenging the assumption that economic justification is the sole driver of AM adoption and instead revealing that it is a context-dependent process, with awareness and motivation serving as critical yet underexplored antecedents.
Researchers often turn to linear mediation models to understand the complex causal processes inherent within innovation and entrepreneurship phenomena. However, these models are not always the most appropriate methods for increasing our understanding of these phenomena. This is because linear models depend on the principle of reductionism – which separates causal processes into their independent components – and overlooks systemwide attributes. To advance research findings that do not adequately address complex causal processes, we advocate using set-theoretic mediation models that offer analytical features better suited for holistically uncovering interdependent and intervening pathways. This method enables investigating complex causal processes associated with the conjunction, equifinality, and asymmetry that can occur with multiple interdependent variables. We provide researchers with practical guidance on constructing and testing set-theoretic mediation models using widely available software while demonstrating these procedures with an illustrative analysis. In doing so, we seek to guide researchers interested in integrating these models into their studies and recommend best practices for implementation. We argue that set-theoretic meditation models can be utilized in various contexts, as they offer new research opportunities for exploring unified necessity and sufficiency relational systems in ways existing methods have yet to address.
In the past 20 years, researchers have significantly advanced various management fields by examining organizational phenomena through a configurational lens, including competitive strategies, corporate governance mechanisms, and innovation systems. Qualitative comparative analysis (QCA) has emerged as a primary method for empirically investigating organizational configurations. However, QCA has traditionally struggled to capture the temporal aspects of configurational phenomena. In this paper, we present configurational comparative process analysis (C2PA), which merges QCA with sequence analysis. We introduce the concept of configurational themes—recognizable temporal patterns of recurring combinations of explanatory conditions—to identify and track the temporal dynamics among these phenomena. We also outline configurational matching—a method for empirically identifying these themes by distinguishing theme-defining from theme-supporting conditions. C2PA allows researchers to explore the temporal dynamics of configurational phenomena, such as their stability, emergence, and decline at critical junctures. We illustrate the application of C2PA through a study of shareholder value orientation and discuss its potential for addressing key questions in management research.
The transition toward the circular economy requires stakeholders to collaborate along value chains. Yet, such collaborations are considerably challenging. Given the paradigmatic change, stakeholders face high levels of uncertainty and also need to align on a common way forward. We extend research on interorganizational sensemaking and the circular economy by exploring the process of interorganizational alignment in a European consortium of over 150 companies representing the value chain for flexible packaging with the objective to transform the value chain from linear to circular. We find that the interorganizational sensemaking process unfolds across three levels—organization, value chain, and ecosystem—which provide different reference frames for the process. We provide insights into how these frames, power dynamics, and identity considerations influence this process. Our findings highlight the importance of considering interdependencies between stakeholders and a collective reconceptualization of the established value chain to successfully transition toward a circular one.
Companies that seek to improve their operational performance by adopting new practices often report disappointing adoption rates. The literature concerning practice adoption has tended to focus on efficacy and legitimacy drivers at the organizational level. However, there exists convincing evidence that practice adoption largely depends on the commitment of those managers involved in the adoption of a given practice. Thus, we investigate what prompts operations managers to commit to practice adoption. We draw on the theory of planned behavior to explore the cognitive foundations of 76 operations managers' commitment to new operational practices. Using fuzzy-set qualitative comparative analysis, we identify three belief configurations associated with high levels of commitment—“the Follower,” “the Pragmatist,” and “the Reformer.” We contribute a behavioral operations perspective to the literature on practice adoption by providing an individual-level and configurational view of managerial commitment to change.
Interest in platforms has rapidly proliferated during the last decade. Yet, research has thus far exclusively focused on purely digital platforms and has failed to offer insights into so-called cyber-physical platform that integrate the digital space with the physical world. In this paper, we introduce the notion of cyber-physical platforms and contribute to research on platforms by asking what cyber-physical platforms are. Additionally, through an in-depth case study of Yourban, the Enel X cyber-physical platform for municipalities and public administrations to integrate and manage smart city services, we explore how their essential features influence the technological architecture, competitive dynamics and ecosystem management of cyber-physical platforms. Our findings show how the physical components pose a significant entry barrier, protecting incumbents while limiting the growth potential of cyber-physical platforms. We also explain why density rather than network effects appear to be more important for cyber-physical platforms than for digital platforms and why platform openness is a necessity rather than a choice for platform providers. Together, our article provides contributions to research on platforms and outlines possible directions for future research.
Decentralized renewable energy systems (DRES) integrate renewable energy sources with energy-efficient building technologies and represent an important instrument for a sustainable built environment. Given their technological complexity, DRES also include comprehensive monitoring systems that offer important opportunities to optimize energy flows and increase energy efficiency. For these reasons, research has developed a range of automated optimization models and algorithms, such as association rule mining or fault detection diagnosis. To date, however, it remains unclear under what conditions these advanced and automated technologies may best be integrated to optimize DRES. This paper provides a complementary industry perspective, drawing on an in-depth case study of the optimization activities within one of the most advanced DRES in Switzerland. Over the course of five years, some of the optimization measures helped reduce energy consumption by 55–60%. Yet, the optimization potential of other measures remained unclear. The case study shows that, while technical aspects have given rise to optimization potential, organizational aspects have prevented, or at least delayed, the application of scientific algorithms, and have thus obstructed the realization of this optimization potential. These findings call for researchers to better integrate the technical and operational aspects into the optimization of energy systems and also offer important recommendations for policymakers, investors, and energy planners.
There is a need to conduct more diverse cross-case analyses in the Multiple Streams Approach (MSA) literature which originated in the United States, to show how key concepts, such as a windows-of-opportunity and the role of policy entrepreneurs, manifest in different political contexts. We apply Qualitative Comparative Analysis for a cross-case analysis of a unique dataset representing 20 countries from four continents. This approach allows us to highlight distinct pathways to influencing policies. We identify four configurations for expanding civic spaces and two configurations for changing policies. We identify three findings novel to MSA: there are two distinctive policy entrepreneur roles involving local and international civil society actors; effective entrepreneurship is conditional on strengthening civic voice and creating civic space conducive to advocacy; and, therefore, effective entrepreneurs often must focus on expanding the civic space to discuss policy problems and the technical and political feasibility of policy solutions.
During the last decade, qualitative comparative analysis (QCA) has become an increasingly popular research approach in the management and business literature. As an approach, QCA consists of both a set of analytical techniques and a conceptual perspective, and the origins of QCA as an analytical technique lie outside the management and business literature. In the 1980s, Charles Ragin, a sociologist and political scientist, developed a systematic, comparative methodology as an alternative to qualitative, case-oriented approaches and to quantitative, variable-oriented approaches. Whereas the analytical technique of QCA was developed outside the management literature, the conceptual perspective underlying QCA has a long history in the management literature, in particular in the form of contingency and configurational theory that have played an important role in management theories since the late 1960s. Until the 2000s, management researchers only sporadically used QCA as an analytical technique. Between 2007 and 2008, a series of seminal articles in leading management journals laid the conceptual, methodological, and empirical foundations for QCA as a promising research approach in business and management. These articles led to a “first” wave of QCA research in management. During the first wave—occurring between approximately 2008 and 2014—researchers successfully published QCA-based studies in leading management journals and triggered important methodological debates, ultimately leading to a revival of the configurational perspective in the management literature. Following the first wave, a “second” wave—between 2014 and 2018—saw a rapid increase in QCA publications across several subfields in management research, the development of methodological applications of QCA, and an expansion of scholarly debates around the nature, opportunities, and future of QCA as a research approach. The second wave of QCA research in business and management concluded with researchers’ taking stock of the plethora of empirical studies using QCA for identifying best practice guidelines and advocating for the rise of a “neo-configurational” perspective, a perspective drawing on set-theoretic logic, causal complexity, and counterfactual analysis. Nowadays, QCA is an established approach in some research areas (e.g., organization theory, strategic management) and is diffusing into several adjacent areas (e.g., entrepreneurship, marketing, and accounting), a situation that promises new opportunities for advancing the analytical technique of QCA as well as configurational thinking and theorizing in the business and management literature. To advance the analytical foundations of QCA, researchers may, for example, advance robustness tests for QCA or focus on issues of endogeneity and omitted variables in QCA. To advance the conceptual foundations of QCA, researchers may, for example, clarify the links between configurational theory and related theoretical perspectives, such as systems theory or complexity theory, or develop theories on the temporal dynamics of configurations and configurational change. Ultimately, after a decade of growing use and interest in QCA and given the unique strengths of this approach for addressing questions relevant to management research, QCA will continue to influence research in business and management.
Digitalization and digital technologies are buzzwords in today's building industry. Because of their promising opportunities to improve (among others) the sustainability footprint of the built environment, they have emerged as an important topic for policymakers, managers, and researchers. Yet, the debate is dominated by references to Building Information Modelling (BIM) and to the success of digital businesses in other industries; it thereby fails to consider other promising digital building technologies and ignores that—in the building industry—many digital technologies require alignment with buildings' physical components. For these reasons, it is unclear how the implications of digital transformation of the building industry for policy and business. In this paper, we develop a typology of digital building technologies, and categorize and assess 29 important building technologies. The substantive differences among different types of building technologies provide valuable insights into how digital building technologies affect the functioning, structure, and competition in the building industry and where digital building technologies offer opportunities to remedy the industry's sustainability footprint. Based on our findings, we offer recommendations to policy makers, companies, and researchers interested in digital building technologies.
Expatriation research has been intrigued by the question of how to prevent the unplanned return of expatriates to their home country. Although a majority of studies have focused on assigned expatriates (AEs), only recently have researchers expanded the scope of analysis by focusing on self-initiated expatriates (SIEs). For SIEs, research has identified job embeddedness as a key explanatory concept for early repatriation without yet acknowledging its potential to also explain the early expatriation of AEs. However, because AEs and SIEs differ in important motivational and behavioral aspects, the lack of comparative studies prohibits a deeper understanding of the mechanisms through which job embeddedness influences early repatriation. We build on belongingness theory to conceptualize early repatriation as a compensatory reaction of expatriates to an inhibited need to belong. Using a unique sample of 345 expatriates from 40 countries, we show that off-the-job embeddedness is more important for explaining the repatriation intention of AEs than of SIEs, whereas on-the-job embeddedness is more important for explaining the repatriation of SIEs compared to AEs. Our integrative model carries important theoretical implications for expatriation research and provides managerial implications for recruiting and retaining AEs and SIEs.
Scholarly and managerial interest in corporate sustainability has increased significantly in the past two decades. However, the field is increasingly criticized for failing to effectively contribute to sustainable development and for its limited impact on managerial practice. We argue that this criticism arises due to a fundamental ambiguity around the nature of corporate sustainability. To address the lack of concept clarity, we conduct a systematic literature review and identify 33 definitions of corporate sustainability. Adopting the Aristotelian perspective on definitions, one that promotes reducing concepts to their essential attributes, we discern four components of corporate sustainability. These components offer a conceptual space of inquiry that, while being parsimonious, offers nuanced understanding of the dimensions along which definitions of corporate sustainability differ. We discuss implications for research and practice and outline several recommendations for how advancements in construct clarity may lead to a better scholarly understanding of corporate sustainability.
High-performance work systems (HPWS) are important conceptual instruments in the human resource management literature. Yet our current understanding of the complementarities within HPWS remains limited for two reasons: First, the dominant theoretical perspectives on HPWS provide a landscape of theoretical possibilities rather than an understanding of different possibilities through which HPWS generate positive effects on performance; and second, the literature on HPWS merely proposes several seemingly equally important HR practices. This article explores the internal nature of HPWS by integrating a configurational perspective of core, peripheral, and nonessential HR practices with a typology of complementarities. Analyzing 530 UK-based firms using fuzzy set qualitative comparative analysis (fsQCA), I identify four frequently implemented HPWS consistently associated with high labor productivity. The complementarities within all HPWS combine pairs of core HR practices with sets of peripheral HR practices. Moreover, the complementarities within three of the four HPWS rely on firms’ avoidance of implementing certain HR practices. The results suggest that the synergies of HPWS arise from efficient complementarities and virtuous overlaps, and reveal the significance of achieving high performance by not implementing HR practices. This article thus advances a new perspective on HPWSs, highlighting the challenges involved in successfully designing HPWS. © 2016 Wiley Periodicals, Inc.
Mixed methods systematically combine multiple research approaches—either in basic parallel, sequential, or conversion designs or in more complex multilevel or integrated designs. Multilevel mixed designs are among the most valuable and dynamic. Yet current multilevel designs, which are rare in the mixed methods literature, do not strongly integrate qualitative and quantitative approaches for use in one study. This lack of integration is particularly problematic for research in the organization sciences because of the variety of multilevel concepts that researchers study. In this article, we develop a multilevel mixed methods technique that integrates qualitative comparative analysis (QCA) with hierarchical linear modeling (HLM). This technique is among the first of the multilevel ones to integrate qualitative and quantitative methods in a single research design. Using Miles and Snow’s typology of generic strategies as an example of organizational configurations, we both illustrate how researchers may apply this technique and provide recommendations for its application and potential extensions. Our technique offers new opportunities for bridging macro and micro inquiries by developing strong inferences for testing, refining, and extending multilevel theories of organizational configurations.
Because the extent to which multinational companies (MNCs) benefit from foreign subsidiaries depends on how effectively MNCs manage their foreign subsidiaries' workforce, the international management literature has long focused on how MNCs transfer Human Resource Management (HRM) practices. However, the literature has only vaguely dealt with institutional differences between host and home countries, often simplifying these differences under the umbrella of institutional or cultural distance. This article investigates how MNCs use expatriates to adjust subsidiaries' employment modes to different market economies. We define employment modes as bundles of HRM and industrial relations (IR) practices implemented at the firm level and examine the employment modes of 76 subsidiaries of US MNCs in a coordinated market economy (Germany), a hybrid market economy (Switzerland) and a liberal market economy (UK). Our results reveal substantial differences in the expatriation strategies of MNCs that depend not only on the international focus of the MNC but also on the differences in IR between the parent and subsidiary's environment. Our findings qualify the role of expatriates in adjusting subsidiaries' employment modes to different market economies and highlight the boundary conditions of integrating HRM with IR practices in the management of foreign subsidiaries.
Multi-energy systems combine different energy vectors (e.g. electricity, heat, cooling) and operate at different levels (e.g. building, district, and region). Although in theory, multi-energy systems should allow for lower carbon impacts compared to systems in which single energy vectors are considered individually, implementation of multi-energy systems is often difficult due to the number of technologies and actors involved and the complexity of their interactions. In this article, we conduct a bibliometric analysis based on over 20,000 articles from the Web of Science to investigate how knowledge on two important multi-energy systems, Microgrids and Smart Grids, has developed. Our findings identify areas that have been under-researched to date, offer a means of transferring learning between different multi-energy systems and provide practical guidance for the implementation of multi-energy systems.
Systematically combining quantitative and qualitative research approaches offers the potential for a more comprehensive and nuanced understanding of social scientific phenomena. With their strong opportunities for building, qualifying, and testing social scientific theories, methodological integrations thus enable researchers to make substantive contributions that would not have been possible with one method alone. In this article we demonstrate how the integration of Qualitative Comparative Analysis (QCA) and conventional statistical analysis offers researchers new opportunities for contributing to the social sciences. Whereas statistical analysis is variable-oriented and relies on correlational analysis to make comparisons across cases, QCA is based on set theory, is case oriented, and relies on Boolean algebra to make comparisons between cases. Drawing on the literature on the interdependency between theoretical contribution and methodology, we review studies that integrate QCA and statistical analysis to explain how the specific combination of these two approaches allows researchers to strengthen the theoretical contribution of their research. From our review we identify common challenges and provide solutions for integrating QCA and statistical analysis.
Expatriation research has predominantly focused on company-backed expatriates (CBEs), who are sent abroad by their employer, and on examining how their levels of on-the-job embeddedness affect their intention to prematurely repatriate. Yet, most expatriates are not CBEs but self-initiated expatriates (SIEs). In this article we hypothesize that for their behavioral and demographic features, CBEs and SIEs differ substantially in their levels of on-the job and off-the-job embeddedness. Moreover, these difference lay ground for moderating effects resulting in different explanations for the repatriation intention of CBEs and SIEs. Drawing on a unique sample of 345 expatriates from 40 different countries we show that while SIEs experience a higher degree of off-the-job embeddedness than CBEs, the two expatriate types do not differ in their levels of on-the-job embeddedness. Also, off-the-job embeddedness is more important for explaining the repatriation intention of CBEs than of SIEs. Most importantly, whereas for SIEs low levels of on-the-job embeddedness increase their intention to repatriate, for CBEs high-not low-levels increase their intention to repatriate. Our findings carry important theoretical implications for research on expatriates and provide managerial implications related to the choice, hiring criteria, and support programs for expatriates.
