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This paper aims to propose a new theoretical perspective on the organizational design of offshoring service organizations by adopting an information processing perspective which incorporates the factors of collaborative information technologies, task commoditization and global customer service delivery that are characteristic of modern-day knowledge-intensive service (KIS) organizations.

The authors analyze data from a large multiyear survey of offshoring service providers conducted in 12 countries.

The authors show how use of collaborative technology is significantly and positively related to spatial and configurational dispersion, task commoditization is significantly and positively related to spatial and temporal dispersion and need for global customer presence is not related to spatial, temporal or configurational dispersion.

The paper integrates concepts from management information system (MIS), operations management and international business to show how collaborative technology, task characteristics and customer service requirements affect the global dispersion of KISs.

The results show how use of collaborative technology, task characteristics and global customer service requirements need to be jointly considered in the global dispersion of activities by KIS providers.

The study sheds light on the effect of the key factors on different dimensions of global dispersion (i.e. spatial/temporal/configurational dispersion) in offshoring service provider organizations. Second, it shows how the traditional information processing perspective on organizations can be updated and applied to KIS organizations by incorporating the factors of global collaborative information technologies, task commoditization and global customer service.

This study aims to present a unique perspective on the application of the theory of planned behaviour (TPB) in the context of the green lodging industry via configurational modelling of three TPB dimensions in formulating hotel visitors’ behavioural responses. Attitude towards behaviour, subjective norms and perceived behavioural control are the three indicators of TPB used to predict guests’ continued intention to use and recommend green hotels on Cyprus, a Mediterranean island with a fragile ecological system.

A questionnaire-based survey is used to evaluate the study’s objectives. A total of 320 guests of green hotels were approached between June and July 2017 and invited to participate. Among them, 260 valid cases were obtained and used for data analysis. The structural model was tested using structural equation modelling (SEM), the configurational model was assessed using the fuzzy-set qualitative comparative analysis (fsQCA) and the necessary predictor was evaluated using the necessary condition analysis (NCA).

The SEM results revealed that attitudes regarding behaviour increased the continued intention to visit and recommend green hotels. Similarly, subjective norms enhanced the guests’ desired behavioural responses. Perceived behavioural control boosted their continued intention to visit, but this was insufficient for predicting green hotel guests’ intention to recommend. The fsQCA results indicated that two causal models explained the conditions of both high and low levels of behavioural responses. The NCA results showed that attitude towards behaviour was the only necessary condition of the two expected behavioural responses.

Several previous studies have tried to modify, decompose or merge the TPB to provide theoretical support for proposed conceptual models indicating visitors’ behaviours. Beyond such attempts, pragmatic analytical approaches (e.g. set-theoretic method) should be applied to present a comprehensive perspective on the association of TPB indicators in decoding the complexity of customers’ behaviours. To the best of the authors’ knowledge, this study is among the first in hospitality research to use three TPB indicators and three analytical approaches to extend the knowledge of guests’ behaviours related to green hotels.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

This work aims to develop a configurational model to explain how relational trust and combinative capability can jointly improve the relationship between innovativeness and firm's performance.

The empirical study was developed on a sample of 224 companies in the footwear industry in Spain. Hierarchical regression analysis was used to test the hypotheses in order to confirm the proposed configurational model.

The partial results demonstrate the significant effect of relational trust on the innovativeness-performance relationship but, unexpectedly, reveals the non-significant effect of combinative capability on this relationship. The triple interaction effects model provides new insights into the positive effect of combinative capability on the innovativeness-performance relationship once firms gain relational trust from their contacts.

The cross-sectional nature of the study imposes a limitation on the results. Nevertheless, due to the detailed information required to achieve the aims of the research, a longitudinal study could be excessively complex. In any event, the cross-sectional approach of the study accomplishes the proposed aim.

Managers should involve the employees of the firm in order to improve the effectiveness of continuous innovation, encouraging them to establish trusting relationships with external agents and contributing to combine the relevant external knowledge with the individual and collective knowledge available in the firm.

This work contributes to the existing literature with a more complete picture of the influence of innovativeness on firms' performance, highlighting that performance is affected by the coherence of the configuration of innovativeness, relational trust and combination capability.

The purpose of this paper is to better understand the connection between culture and entrepreneurship in proposing and testing complex configurations of culturally endorsed implicit leadership theories (CLTs) and cultural practices that lead to entrepreneurial behaviour by studying entrepreneurial intentions (EI) and early-stage entrepreneurial activity (TEA) separately.

Using data from Globe Leadership and Organizational Behavior Effectiveness (GLOBE) and Global Entrepreneurship Monitor (GEM) studies, a sample of 44 countries, and a fuzzy-set qualitative comparative analysis, several models for EI and TEA were developed.

The main findings provide a way of distinguishing between complex antecedent conditions that are required for each stage of the entrepreneurial realisation. The results empirically show that there is no ideal context – the path to stimulate entrepreneurship that works best for one country does not necessarily works the same for other countries. There are multiple paths to achieve the desired outcome.

The data from the GLOBE study were not completely up to date, the effect of which was minimised by considering data from GEM that respects temporal ordering. Nevertheless, data from GEM suggest that there is a degree of stability in the data over time. Future research could replicate this study with a larger selection of countries and with new data, collected in a different way. Additionally, the inclusion of CLTs proposed in this study opens new opportunities for future research, by providing a new angle to look at the entrepreneurial realisation process.

This study advances research into the association of culture and entrepreneurship, and develops testable models using a configurational approach, thus confirming the suitability of asymmetric configuration analysis for entrepreneurial research. The results expand an understanding of the entrepreneurial process by showcasing the different complex antecedent conditions for EI and TEA. Depending on a country’s cultural profile, policy-makers should invest in the dimensions that enable their society to align with the model that best suits their own culture. The obtained models offer a framework for evaluating new interventions that aim to develop entrepreneurial behaviour in a specific country.

Different configurations showcase that there are alternative paths to achieving high levels of EI and TEA. The differences among the possible configurations for each stage of the entrepreneurial realisation are uncovered. Country profiles are identified, quantified, and then compared providing guidance for policy-makers.

Workforce diversity is considered one of the main challenges for human resource management in modern organizations. Despite its strategic importance, the majority of models in this field implicitly consider workforce as a generic and homogeneous category, and do not take into account cultural differences among employees. The aim of this paper is to present a systematic review of the literature on diversity among employees in strategic human resource management (SHRM). The objective of this conceptual analysis is to identify limitations in previous research and unresolved issues that could drive future research in this field.

To develop this conceptual analysis, the paper reviews previous literature on SHRM, drawing on the distinction between the universalistic, contingent and configurational perspectives. Each of these approaches is explored, looking for the way in which they have treated workforce diversity and cross‐culturality.

The paper concludes that managing a heterogeneous workforce requires a holistic transformation of human resource strategies. Nevertheless, efforts to define cross‐cultural and diversity‐oriented models still remain undeveloped. Limitations of previous research in the diversity‐SHRM field are indentified in the paper.

Drawing on the limitations of the treatment given to diversity in SHRM research, the paper identifies four research questions that still need to be addressed: deeper analysis of the concept of diversity, introduction of psychological processes mediating the diversity‐performance relationship, development of diversity oriented SHRM typologies and redefinition of performance indicators to measure the effects of diversity.

This paper proposes a theoretical model to illustrate present state of the art and future research lines in the fields of diversity, cross‐cultural management and SHRM.

The purpose of this study is to investigate consumers’ cryptocurrency adoption through the unified theory of acceptance and use of technology (UTAUT) and complexity theory.

By using a purposive sampling method, a configurational model was developed and a questionnaire-based survey was conducted to gather responses from a Malaysian sample. A total of 223 responses were obtained. Partial least square structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA) were adopted to analyze the data.

The PLS-SEM indicated that performance expectancy, effort expectancy, social influence and affinity for technology interaction were positive cryptocurrency adoption predictors, whereas regulation was a negative predictor. Based on the fsQCA, cryptocurrency adoption could be explained by six configurational paths, which comprised combinations of the proposed causal conditions: the UTAUT factors (performance expectancy, effort expectancy, facilitating condition and social influence), environmental factor (regulation) and individual factors (financial knowledge and affinity for technology interaction).

This study offers contributions to the theoretical body of knowledge by articulating the relevance of extended UTAUT and extending the established UTAUT model by integrating external environment and personal factors, also showing the linear and nonlinear interplays of performance expectancy, effort expectancy, facilitating conditions, social influence, regulation, financial knowledge and affinity for technology interaction.

The findings facilitated practitioners’ (cryptocurrency brokers, governments and businesses) fostering of cryptocurrency adoption through the joint consideration of different factors. The factors spanned technological attributes and individual characteristics to regulation. Practitioners should acknowledge that different combinations of the aforementioned antecedents can be equally effective to increase cryptocurrency adoption. The findings suggested that these causal conditions should be considered holistically and that there is no best predictor.

In social terms, the research is expected to contribute to the dissemination of cryptocurrencies and help governments and central banks to develop, regulate and supervise digital currencies, as well as in the implementation of a digital currency ecosystem aligned with sustainable development goals. Economically, the results might foster a high cryptocurrency adoption rate and stimulate crypto-token-based business models and investment opportunities that present new means of revenue generation at individual, organizational and national levels.

This study offers unique perspectives for the body of knowledge and practice in the cryptocurrency domain, using both symmetric and asymmetric methodologies, by delineating the configurational logic involving technological capabilities, social influences, regulation and individual characteristics in facilitating more efficacious dissemination of cryptocurrencies.

Innovation ambidexterity is crucial for fostering growth and gaining a competitive advantage in small and medium enterprises (SMEs). Previous research indicates that achieving a balance between exploration and exploitation is a multifaceted phenomenon occurring across various levels. This paper aims to examine the influence of individual, organizational and institutional factors on the ambidextrous innovation of Chinese niche leaders using a configurational perspective.

This study uses secondary data collected from 69 Chinese niche leaders in the new equipment manufacturing industry. The authors use fuzzy-set qualitative comparative analysis to investigate how owner openness, age, digitization, the formal institutional environment and the informal institutional environment jointly influence innovation ambidexterity.

By using fuzzy set analysis, this study categorizes combinations of interdependent factors that promote innovation ambidexterity. In particular, the authors pinpoint three configurations that foster high innovation ambidexterity and two configurations that lack such high levels of innovation ambidexterity. The analysis results suggest that innovation paradoxes in SMEs are linked to a nested system comprising leadership, organizational factors and the institutional environment.

This study elucidates the mechanism of innovation ambidexterity through a configurational perspective. This research proposes and validates a framework that enables SMEs to develop ambidextrous innovation capabilities, thereby integrating organizational ambidexterity theory and shedding light on the intricately complex nature of innovation ambidexterity.

During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions.

Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA).

The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching.

This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications.

The study identifies factors the technology service providers should consider to attract new users and retain existing users.

This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.

Although trust is generally taken as a fundamental factor in influencing relational behavior in contractor–subcontractor collaboration, the determination of an optimal level of trust is still lacking. Trust with an optimal tipping point that matches dependence best is considered the optimal trust to improve relational behavior between general contractors and subcontractors. To fill the knowledge gap, this study explores how combinations of trust and dependence trigger relational behavior between general contractors and subcontractors through a configurational approach.

Questionnaires were administered to 228 middle management and technical staff members of the general contractor. The data were analyzed using fuzzy-set qualitative comparative analysis (fsQCA), and the inductive analytic method allowed researchers to explore configurations of different dimensions and levels of dependence and trust.

Necessity analysis results indicated that neither dependence nor trust was a necessary condition for facilitating relational behavior. Through sufficiency analysis, four configurations of optimal trust matched with dependence were identified in contractor–subcontractor collaboration. Even if contractors rely only on subcontractors for resources, the optimal trust between contractors and subcontractors should include both institution- and cognition-based trust. In the event that contractor–subcontractor collaboration involves relational dependence, both affect- and cognition-based trust are necessary for the optimal trust.

This study enhances existing research by delving deeper into a nuanced understanding of optimal trust in dependence scenarios, and enriches project governance theory by uncovering the internal transmission of relational governance. Practically, this study offers general contractors guidance on how to establish optimal trust strategies based on the dual dependence level with subcontractors, which can facilitate subcontractors' relational behavior, and ultimately improve contractor–subcontractor collaboration performance.