Fuzzy-set Qualitative Comparative Analysis Research Articles

Synergy between multidimensional intellectual capital and digital knowledge management: Uncovering innovation performance complexities

This paper aims to deepen our understanding of the contingency and complex interrelations between multidimensional intellectual capital (IC), technology-based knowledge management (KM), and innovation outcomes in the rapidly changing business environment. More particularly, we investigate causal recipes for high innovation performance consisting of traditional IC components (human capital, structural capital, relational capital), the three more recently emerging IC dimensions (renewal capital, entrepreneurial capital, trust capital), and digital KM practices. This study adopts neo-configurational perspective and fuzzy-set qualitative comparative analysis (fsQCA) to explore multiple conjunctural causations of innovation performance using survey data collected from 102 publicly listed enterprises in Taiwan. Although the four identified archetypes (causal recipes) indicate that all IC dimensions and digital KM are potential collaborators contributing to high innovation performance, they also emphasize the critical role of digital KM in leveraging relational and trust capital for superior innovation performance. Human, structural, entrepreneurial, and renewal capital seems to be a supporting chorus for open and collaborative innovations in the digital era.

Configurations of institutional enablers that foster inclusive entrepreneurship: A fuzzy-set qualitative comparative analysis

Inclusive entrepreneurship, which represents an integrated approach to entrepreneurship and social inclusion, has increasingly received attention for its expected capacity to simultaneously foster economic growth and mitigate inequality. This study examines how the configuration of institutional enablers, which encompass several characteristics involving markets, finance, policy, education, and knowledge, fosters inclusive entrepreneurship outcomes. The results of a fuzzy-set qualitative comparative analysis using 69 country cases indicate that institutional enablers—excluding market openness—jointly affect inclusive entrepreneurship outcomes. This study provides evidence that such effects vary depending on the level of a country's economic development. As one of the first to explore the topic of inclusive entrepreneurship, this study has significant implications for academics, practitioners, and policymakers.

Navigating uncertainty: configurations of entrepreneurial behaviors for new venture performance

Purpose The entrepreneurial process often cannot be explained by a single entrepreneurial theory. Instead, it is more likely the result of the interaction between various entrepreneurial behavior patterns and different environmental conditions. However, existing research has frequently overlooked the complexity inherent in the entrepreneurial phenomenon. Building on a configurational perspective, this study aims to examine how new ventures can use different behavioral configurations to achieve high performance amid various uncertain environments. Design/methodology/approach Based on the survey data from 143 new start-ups in China’s software industry, this study uses fuzzy-set qualitative comparative analysis (fsQCA). Findings This study jointly considers multiple entrepreneurial behaviors − causation, effectuation and entrepreneurial bricolage and different types of environmental uncertainty − state uncertainty, effect uncertainty and response uncertainty. The findings reveal three behavioral configurations for high/nonhigh new venture performance. Originality/value This study expands previous insights into the relationship between entrepreneurial behaviors and new venture performance from the perspective of configurational theory. Moreover, it offers new insights into the types of uncertainty, further refining our understanding of the uncertainties inherent in entrepreneurial activities.

Examining consumers' perceptions of relationship value with retailers: a multi-method approach

PurposeThis study employs a multi-method approach to investigate how perceived relationship marketing investment affects perceived relationship value and consumer gratitude, influencing consumer involvement, word-of-mouth intentions, and long-term relationships across three retail consumer types.Design/methodology/approachThe study analyses a model involving 542 consumers, employing structural equation modeling and fuzzy-set qualitative comparative analysis to identify distinctive factor configurations across public, semi-public, and private retail organizations.FindingsA retailer’s investment in relationship marketing significantly enhances relationship value and consumer gratitude, leading to increased engagement and word-of-mouth intentions. Perceived benevolence moderates the effect of relationship marketing on gratitude. However, gratitude alone does not ensure long-term relationships. Using fsQCA, we identify four distinct consumer configurations, providing nuanced insights.Research limitations/implicationsRetail organizations broaden relationship marketing strategies to boost perceived value and elicit consumer gratitude, influencing consumer performance outcomes.Practical implicationsRetail organizations should broaden relationship marketing strategies to boost perceived value and elicit consumer gratitude, influencing consumer performance outcomes.Social implicationsManagers should develop strategies that lead to consumer gratitude toward the firm, such as journey mapping can help visualize retail delivery. Grateful consumers may contribute to firms’ profitability by influencing current and potential consumers in their social networks and communicating their expertise through review/feedback for improvement. Therefore, various strategies are needed to stimulate positive comments from grateful consumers about the firm’s excellent performance.Originality/valueThis study builds on Lawler’s affect theory, highlighting how relationship value and consumer gratitude profoundly influence exchange process outcomes. It introduces new psychological mechanisms to explain the impact of perceived relationship marketing investment on performance outcomes. Integrating these elements provides a comprehensive understanding of retailer–consumer dynamics, revealing how emotional and psychological factors shape marketing strategies and business performance. This contribution enriches theoretical frameworks and offers practical insights for enhancing relationship marketing practices.

Exploring the synergy of logistics, finance, and technology on innovation

As global environmental challenges intensify, manufacturing firms face increasing pressure to innovate sustainably. Green innovation, characterized by the development of environmentally friendly products, processes, and technologies, has become essential for firms striving to remain competitive. This study aims to investigate the influence of key factors—green logistics, green finance, and green technology—on green innovation within manufacturing firms, while exploring the mediating role of green technology in these relationships. A multi-method approach was employed, combining partial least squares structural equation modeling, fuzzy-set qualitative comparative analysis, and necessity condition analysis. 447 responses were collected from manufacturing companies in Dhaka city, Bangladesh, using structured questionnaires. The analysis revealed that green logistics and green finance have a significant positive impact on green innovation, while the influence of the green work environment was found to be positive but statistically insignificant. Additionally, green technology was identified as a significant mediator in the relationships between green finance, green logistics, and green innovation. This study offers a comprehensive green innovation model while green technology is a mediator. Furthermore, this study advances the resource-based view theory by integrating green technology as a pivotal resource that enhances a firm's competitive advantage in sustainable markets. By adopting a multi-method approach, this research provides a rigorous examination of the research questions, offering a comprehensive understanding of the dynamic interactions between green finance, green logistics, and green technology in driving innovation. Thus, this research has thought provoking implications to prioritize investments in green finance, logistics, and technology, manufacturing firms can enhance their competitiveness, improve operational efficiency, and meet evolving environmental regulations and consumer preferences.

Investigating the Drivers of Firm Internationalisation: A Fuzzy Set Analysis Using Global Entrepreneurship Development Index Data

Firm internationalisation, a key driver of global economic growth, is influenced by various entrepreneurial resources. This study explores the relationships between human capital, risk capital, risk acceptance, opportunity perception, and firm internationalisation using cross-national data from the Global Entrepreneurship Development Index (GEDI). Employing fuzzy set qualitative comparative analysis (fsQCA), this study analyzes data from 137 countries. The findings highlight two primary configurations driving internationalisation: (1) risk acceptance and opportunity perception, and (2) risk capital and opportunity perception. Opportunity perception emerges as a critical factor in both configurations, while human capital is not found to be a necessary condition. These results contribute to a better understanding of the factors that foster firm internationalisation and inform policies aimed at promoting global entrepreneurial ecosystems.

Configurational risks and innovation performance of complex product systems development: A fsQCA lens

Complex products and systems (CoPS) development demands effective risk management, which is frequently impeded by a lack of clarity regarding the impact of risks on performance. This study aims to investigate how multiple risks jointly affect innovation performance in CoPS projects. Based on the configurational theory and WSR framework, we use fuzzy set qualitative comparative analysis (fsQCA) with data from 97 CoPS projects and examine the combined effects of risks on innovation performance. We identify two types leading to high innovation performance and four patterns causing low innovation performance. The results verify the asymmetrical causality of the influence of risks on innovation performance in CoPS projects. The findings contribute to broadening the relationship studies of risk and innovation performance by adopting an empirical method in the context of CoPS. Moreover, our study can help managers implement flexible risk management activities within CoPS projects, by addressing several equivalent and distinctive paths.

A Configurational Perspective on the Quality of Managers’ Counterfactual Reflections

Counterfactual reflection (CFR)—thinking about “what might have been if”—can enhance learning from experience, but only if the CFR is high-quality. Yet, what shapes differences in CFR quality remains largely unknown. Because managers typically reflect on experiences by concomitantly considering relevant factors and their collective interdependencies, we suggest that CFR quality is causally complex. To investigate this possibility, we interviewed 129 managers. In these interviews, they reflected on recently concluded business-to-business negotiations. Using fuzzy-set qualitative comparative analysis, we find three equifinal configurations of negotiation factors associated with high-quality CFR and eight associated with low-quality CFR. Drawing on the interviews, we identify managers’ ability to disentangle causal linkages in their past negotiation and their motivation for high-quality CFR in the present as plausible mechanisms underlying differences in CFR quality. We find high-quality CFR only following experiences where managers possess high levels of both situation-specific ability and motivation. In contrast, experiences that leave managers feeling unable or unmotivated due to high satisfaction, indifference, or defensiveness, are linked to low-quality CFR. Overall, our study advances understanding of why there are differences in CFR quality by linking past experiences with managers’ abilities and motivation. From a managerial perspective, we suggest that organizations avoid “one size fits all” approaches to CFR. Instead, we recommend actionable measures for both reflecting managers and their supervisors to address the specific reasons that prevent managers from engaging in high-quality CFR after their negotiation experiences.

Factors Influencing University Students’ Continuance Intentions towards Self-Directed Learning Using Artificial Intelligence Tools: Insights from Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis

This study investigates the intricate causal mechanisms of university students’ sustained use of artificial intelligence (AI) tools for self-directed learning (SDL) within the theoretical framework of self-determination theory (SDT). Employing a convenience sampling strategy, 387 university students from China were included in the study. Methodologically, we employed structural equation modeling (SEM) for the measurement and causal analysis, and we employed fuzzy-set qualitative comparative analysis (fsQCA) for the configurational analysis. The research results emphasize several important insights. Perceived usefulness, intrinsic motivation, and satisfaction play important roles in encouraging university students’ continuance intentions. Satisfaction emerges as a pivotal mediator, bridging the connection between perceived usefulness, intrinsic motivation, and continuance intention. The system quality, the information quality, and social interaction have significant positive influences on perceived usefulness. Perceived autonomy and perceived competence display strong correlations with both intrinsic motivation and satisfaction. Moreover, the results from the fsQCA show five configurations, in which the key factors collectively shape students’ continuance intentions through complex interactions through various configurations. The findings reveal diverse configurations by which university students form continuance intentions towards using AI tools for SDL, providing detailed insights into the profound and indirect impacts on forming continuance intention behaviors. This enriches and advances the current theoretical understanding.

How coolness drives Airbnb users’ behavioural intention: findings from asymmetric and symmetric approaches

ABSTRACT A brand’s perceived coolness enhances its appeal and can be crucial to brand success. Building on the model of goal-directed behaviour (MGB), this study investigates how the perceived coolness of Airbnb, influences consumers’ behavioural intentions regarding the platform. The proposed hypotheses were tested using partial least squares structural equation modelling (PLS-SEM). The study sample consisted of 557 U.S. travellers who had had an Airbnb accommodation experience in the past six months. Fuzzy-set qualitative comparative analysis (fsQCA) was subsequently employed to uncover the causal configurations of consumers’ desire and behavioural intentions toward Airbnb. The PLS-SEM results demonstrated the critical role of perceived coolness in influencing one’s desire and behavioural intentions toward Airbnb. The fsQCA findings suggested that causal configurations inform consumers’ behavioural intentions toward Airbnb across generations. Anticipated emotions applied to all configurations. This study extends the relevant literature by incorporating perceived coolness into the MGB model in the Airbnb context. Findings also contribute to the literature by revealing causal configurations via fsQCA. Airbnb providers should seek to develop and enhance the four identified facets of perceived coolness. The consumer market should also be classified generationally. The roles of anticipated emotions cannot be ignored.

Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA

Although an increasing number of studies explore the factors influencing users’ privacy concerns regarding social robots, the existing understanding of this issue remains largely fragmented. Previous studies have mainly focused on the "net effect" between variables, leaving the complexity of causal configurations, and the holistic impact of design characteristics of social robots on user privacy concerns remains unclear. Based on the Stimuli-Organism-Response (S-O-R) framework and Communication Privacy Management Theory (CPMT), this study integrates social robot design characteristics such as Anthropomorphism, Warmth, Competence, and Transparency into causal configurations, and uses Perceived Privacy Risk and Perceived Privacy Control as mediating variables to propose a Comprehensive conceptual model. Based on valid data from a sample of 198 Chinese social robot users, this study conducted empirical analyses of the conceptual model using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (FsQCA). PLS-SEM results show that anthropomorphism, warmth, competence, and transparency are key factors influencing privacy concerns, and perceived privacy risk mediates the relationship between warmth, information transparency, and privacy concerns. The FsQCA results further validated the findings of PLS-SEM and identified five configurations of factor combinations that led to higher levels of user privacy concerns. Among them, the combination of high anthropomorphism design, high competence, and low warmth of social robots is the core configuration that leads to users’ privacy concerns. Overall, this study broadens our understanding of social robot users’ privacy concerns and reveals the causal complexity behind social robot users’ privacy concerns. It provides some theoretical and practical insights for subsequent scholars and designers.

What drives fulfilment and repeat visits among Asian domestic travellers: the application of IGSCA and fsQCA

ABSTRACT This study examines the critical role of domestic tourism as an alternative market to international tourism post-pandemic. It analyses travel motivations alongside perceived risks and safety to assess their impact on trip fulfilment and revisiting intentions. Data from 846 respondents in China, South Korea, and Thailand revealed patterns. Integrated Generalized Structured Component Analysis (IGSCA) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) were used to discern the relationships influencing the desire to return. Findings highlight ‘arousal’ and ‘social sharing’ as essential for low-level fulfilment, while ‘self-actualization’ and ‘social sharing’ are key for high-level fulfilment. ‘Perceived safety’ significantly affects both levels of fulfilment, which in turn affect the intention to revisit. FsQCA identified specific necessary conditions and configurations predicting the two types of fulfilment and the intention to revisit domestic destinations.

Research on the configuration of factors influencing safety citizenship behavior of construction workers based on fsQCA

ABSTRACT Objectives. How to promote the safety citizenship behavior (SCB) of construction workers has been studied in academic circles. However, most current research methods focus on the ‘net effect' between the independent variable and SCB. Methods and Results. Based on the fuzzy set qualitative comparative analysis (fsQCA) method and from the perspective of ‘configuration’, this article proposes that the emergence of SCB not only depends on a single condition, but also depends on the interaction of safety leadership behavior (SLB), organizational safety climate (OSC), organizational safety support (OSS), safety attitude (SA), safety motivation (SM), safety risk perception (SRP) and psychological belonging (PB). Conclusion. The research shows that the emergence of construction workers’ SCB can be realized through different combinations of variables, and both ‘external environment-driven' and ‘interpersonal relationship-driven' paths can promote the generation of SCB. This research provides a more systematic and practical explanation for how to promote the generation of SCB of construction workers, expand the research scope of safety management and play a positive role in reducing the incidence of safety accidents in the construction industry.

High-quality marine economic development in China from the perspective of green total factor productivity growth: dynamic changes and improvement strategies

High-quality marine economic development (HMED) is regarded as a new development pattern of the marine economy in China. This paper aims to examine the dynamic changes and improvement strategies of HMED from the perspective of the green total factor productivity (GTFP) growth. First, the GTFP growth of the marine economy in China’s coastal regions for the period 2007–2020 is calculated using the bootstrapped Malmquist index. Second, the dynamic changes and spatial impacts of the GTFP growth are characterized using kernel density estimation (KDE). Moreover, a novel analytical framework to study the improvement strategies of the GTFP is developed. Within this framework, the fuzzy set qualitative comparative analysis (fsQCA) method is used to explore the paths to achieve HMED. The findings show that: (i) the GTFP growth for coastal regions shows significant fluctuations, suggesting that a stable pattern of marine economic development has yet to be established; (ii) the regional distribution of GTFP growth varies significantly, with provinces with fast GTFP growth gathering resources from neighboring provinces, resulting in a siphon effect; (iii) for coastal provinces that lack certain development conditions, the combined effect of other advantageous factors can be used to achieve HMED. Finally, this study presents policy recommendations for achieving HMED, which can provide insights into the design of China’s future marine economic policies.

Destination image and personality in workation tourism

ABSTRACT Workation represents an emerging and intriguing alternative type of tourism that integrates work and leisure. While it has gained substantial popularity, scholarly research in this field has been relatively constrained, particularly regarding the role of destinations. This study addresses this research gap by investigating the most salient attributes characterising an ‘ideal workation destination’. We present a theoretical model integrating components from the destination image and personality frameworks and employ fuzzy-set qualitative comparative analysis on a sample of 213 individuals. Compared to past work exploring the workation concept, experiences, and workationer characteristics, our research focuses on the attributes of destinations that make them attractive for this emerging tourism trend. The findings categorise workationers based on the destination attributes they prioritise, identifying three main groups: outdoor enthusiasts, extroverts, and hipsters. Understanding workationers’ diverse preferences regarding destination attributes enables tourism providers and destination management organisations in remote and undiscovered destinations to tailor their offerings and attract tourism flows seeking unique work-leisure experiences. This approach can support the revitalisation of these areas, enhancing their appeal and sustainability.

Data vulnerability and privacy risk among hotel guests who share personal data

This research explores the guests’ perception toward data vulnerability and its impact on the privacy risk, privacy concern, and the perceived benefits of sharing personal data with hotels, which is in response to rising concerns about the personal data collection for service facilitation in hotels. A proposed research framework that explains the antecedents and outcomes of hotel guests’ privacy risk and privacy concern that is related to personal data sharing was examined using the generalized structured component analysis with measurement errors incorporated (GSCAM), the necessary condition analysis (NCA), and a fuzzy-set qualitative comparative analysis (fsQCA). The results expand the antecedents → privacy concerns → outcomes (APCO) model by determining a set of salient variables, such as data access, data breach vulnerabilities, privacy risk, and concern in regards to determining hotel guests’ perceived benefits of sharing personal data. This study provides valuable insights into privacy dynamics, enabling hotel professionals to develop targeted marketing strategies prioritizing both data utilization and guest privacy. It also suggests enhancing data security measures to mitigate concerns and foster trust among guests.

Sustainable leadership and knowledge ingredients - the recipe for sustainable competitive advantage: a mixed-method approach

ABSTRACT Drawing on the principles of complexity theory, the research seeks to ascertain the causal configurations that can lead to enhanced Sustainable Competitive Advantage (SCA) within Higher Education Institutions (HEIs). The sample was drawn from HEIs in Pakistan. The research used asymmetrical fuzzy set qualitative comparative analysis (fsQCA), to identify the antecedent conditions that predict high SCA scores in HEIs. The results revealed several configurations that can help HEIs improve SCA, complementing the major tenets of complexity theory. Symmetric methods see SCA as the result of isolated antecedents, they have significant limitations when it comes to understanding SCA, which is a complex construct. This is evident from recent research. Symmetric approaches have fewer theoretical ramifications and are less informative. The study adds to the literature on leadership and knowledge management by highlighting the causal configurations that result in improved SCA. The research will assist management in understanding the complexity of SCA and the possibility that different recipes may be more effective in enhancing SCA than concentrating on individual factors and their effects on HEIs. Managers will find new paths to SCA with the aid of the study.

Insights on purchase intention of mutton shashlik - A survey of Chinese consumers based on fsQCA

Various factors influence the purchases of meat products by consumers, and their final purchasing behavior has a temporal and logical relationship with their willingness to buy. Such willingness is an effective indicator of purchasing behavior. In this study, sensory appeal, brand loyalty, price, consumer reviews, consumer preferences, and the personal characteristics of consumers (e.g., gender, age, and income) were selected as the antecedent variables. Data from 5,981 consumers were collected through an online questionnaire. The path configurations that caused consumers to have high and low purchase intentions for mutton shashliks were analyzed using fuzzy set qualitative comparative analysis (fsQCA). The major causes that lead consumers to the two choices of purchasing or not purchasing were identified. The findings show that there is a causal asymmetric relationship between customers' desire to purchase meat items and the factors influencing them. As a multifaceted outcome variable, consumer preference traits and cost are the primary determinants of the high purchase intention to buy mutton shashlik, with income and sensory appeal having a lesser effect. Furthermore, factors such as brand loyalty, consumer reviews, gender, and age worked in conjunction with the main factors that influenced or hindered consumers' purchase intentions.

Implementation in the European Union. A concept structural meta-study of environmental and social policy

ABSTRACT The implementation of EU law has been investigated since the 1980s without pinpointing any general explanatory mechanisms, while most studies focus on highly specific empirical analysis without going beyond basic conceptual descriptions. Theoretically, this paper proposes an alternative comparative framework to conceptualize and analyze differentiated policy implementation based on concept structural considerations. Empirically, existing case studies are compared in a meta-study by transferring their statements on explanatory conditions and outcomes into a parsimonious, procedural model. This approach enables a theory-guided, systematic comparison of qualitative case studies which has long been considered a desideratum in the implementation literature. The paper addresses the question under which conditions correct implementation (i.e. transposition and application) of EU directives occurs. Starting from a literature assessment, explanatory patterns are extracted and formalized as set-theoretic conditions connected to transposition and application as outcomes. The resulting concept structural model links the conceptual and explanatory levels of the underlying concepts. Using fuzzy set QCA, cases from environmental and social policy directives are assessed empirically based on case study data. The results largely confirm the expectation that only a conjunction of willingness- and ability-related conditions leads to correct implementation, particularly conjunctions of favourable attitudes and compatible institutional structures or capacities.

Exploring the relationships between digital transformation, organizational slack and business performance: a configurational approach

PurposeThe survival of companies today hinges on their adaptability and flexibility, with digital transformation (DT) and organizational slack (OS) playing crucial roles. Despite their recognized importance, these factors are often studied separately. This study aims to explore how OS facilitates DT and evaluate their synergies and trade-offs to improve performance.Design/methodology/approachUsing data from the European Manufacturing Survey, structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA), we investigate causal relationships and possible combinations between different dimensions of OS and DT that contribute to business performance.FindingsWe confirmed the positive effect of OS and DT on business performance, highlighting the importance of organizational over technological factors. While not definitively establishing OS as a precursor to DT, our findings underscore the need for human and operational slack to improve performance, especially in less technology-intensive contexts.Research limitations/implicationsOur findings evidence that decision-makers should integrate OS with DT initiatives to improve the firm’s competitiveness. However, it is worth noting that while OS seems essential in low-tech shopfloors, its importance is lower in high-tech environments. Furthermore, within the possible combinations, managers should promote operational slack and digitalization, as it seems fundamental to improve business performance.Originality/valueThis article contributes to the management field in three ways. First, it clarifies controversies by providing evidence of the positive roles of DT and OS as drivers of competitiveness for manufacturing firms. Second, we verify that OS is not directly linked to DT, challenging existing assumptions. Third, it investigates the combinations of OS and DT that drive business performance improvement, emphasizing their synergies and trade-offs.