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The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India.

The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA).

The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning.

This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations.

This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts.

Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.

Entrepreneurship education (EE) is critical for developing the skills of tomorrow's entrepreneurs and leaders. While significant research examines the content, student learning processes and outcomes, less studied are the entrepreneurship educators and their pedagogical preferences. Following a cognitive process model of decision-making, this study explores how self-efficacy, philosophy of teaching, entrepreneurship training and teaching experience influence entrepreneurship educator preferences to follow either a teacher-centric or a student-centric approach. This study also includes gender in a secondary analysis of the relationships.

The data were collected from 289 entrepreneurship educators in 2021, and fuzzy-set comparative qualitative analysis (fsQCA) was used to obtain configurations of conditions (causal recipes) that lead to teacher-centric or student-centric model. A secondary analysis explores whether there are different configurations of conditions when gender is added to the analysis.

The results of our fsQCA analysis reveal multiple configurations of conditions (causal recipes) that result in a preference for either a teacher-centric or student-centric approach to teaching entrepreneurship. The authors find that teaching experience is the main condition for the teacher-centric model, while self-efficacy and entrepreneurship training are the main conditions for the pathways leading to student-centric model. The fsQCA results also show that the configurations are affected when gender is taken into account in the analysis.

This study, one of the first of its kind, uses a configurational approach to examine pathways that contribute to the teaching preferences of entrepreneurship educators. This paper uses self-efficacy, teaching philosophy, teaching experience and entrepreneurship training as conditions to identify multiple unique pathways that result in either a teacher-centric or student-centric pedagogical model in EE. Notably, differences by gender are also found in this study.

The main objective of this study is to investigate the factors that influence the adoption intention of cloud computing services among individual users using the extended theory of planned behavior.

A purposive sampling technique was used to collect a total of 339 data points, which were analyzed using SmartPLS to derive variance-based structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

The results obtained from PLS-SEM indicate that attitude towards cloud computing, subjective norms, perceived behavioral control, perceived security, cost-effectiveness, and performance expectancy all have a positive and significant impact on the adoption intention of cloud computing services among individual users. On the other hand, the findings from fsQCA provide a clear interpretation and deeper insights into the adoption intention of individual users of cloud computing services by revealing the complex relationships between multiple combinations of antecedents. This helps to understand the reasons for individual users' adoption intention in emerging countries.

This study offers valuable insights to cloud service providers and cyber entrepreneurs on how to promote cloud computing services to individual users in developing countries. It helps these organizations understand their priorities for encouraging cloud computing adoption among individual users from emerging countries. Additionally, policymakers can also understand their role in creating a comfortable and flexible cloud computing access environment for individual users.

This study has contributed to the increasingly growing empirical literature on cloud computing adoption and demonstrates the effectiveness of the proposed theoretical framework in identifying the potential reasons for the slow growth of cloud computing services adoption in the developing world.

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.

Customers increasingly use food delivery applications (FDAs) to place orders. Despite the popularity of FDAs, limited research has investigated the drivers of the continuance intention to use FDAs. This study aims to uncover the drivers of the continuance intention to use FDAs by integrating the “technology continuance theory” (TCT) with perceived task-technology fit, perceived value and perceived food safety.

Data were collected from 398 individuals in Thailand and evaluated using “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA).

The PLS results supported the significance of all direct relationships, except the effects of perceived ease of use on attitude and perceived usefulness on continuance intention. Accordingly, perceived food safety positively moderated the impact of perceived ease of use on attitudes. The fsQCA uncovered seven solutions with various combinations of factors that predicted high continuance intention.

This study enables food delivery apps to develop effective strategies for retaining users and sustaining financial performance.

This research contributes to the literature by investigating the factors underlying the continuous use of FDAs with a new PLS-fsQCA technique and applying TCT in a new technological context, FDAs and enriching it by adding three variables: perceived task-technology fit, perceived value and perceived food safety.

Drawing on the adapted unified theory of acceptance and use of technology (UTAUT2) framework in the bottom of pyramid (BoP) context, this paper examines the number of causal recipes that foster m-health adoption in a developing country (Bangladesh). This paper aims to propose an extended UTAUT2 model along with identifying the necessary and sufficient factors affecting the m-health adoption intention in the BoP market.

The research model was empirically tested, combining two approaches: structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from 221 housemaids and female security guards who earn around US$6 per day.

The SEM results revealed that while performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions, perceived cost (PC) and technology anxiety (TA) significantly influence the behavioural intention of BoP markets, hedonic motivation is the non-significant predictor. The fsQCA revealed that the two necessary conditions, PC and SI, can be combined with TA to increase the possibility of the success of m-health adoption in the BoP market.

For practitioners concerned with fostering the m-health adoption intention in BoP markets, the present study, which points out equifinality, recommends integrating the PC and SI in several combinations with PE, EE and TA.

To the best of the authors’ knowledge, no previous studies using the UTAUT2 theory examined the m-health services in the BoP market. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of TA and PC in several combinations with other UTUAT2 factors as predictors for explaining the m-health adoption intention of BoP markets.

This paper aims to explore a complex combination of four realms of the experience economy in formulating memories and satisfaction among festival visitors by using augmented reality (AR), thus engaging visitors in the physical science experience. This study also identifies necessary conditions to achieve desired responses from visitors.

Asymmetrical modelling with fuzzy set qualitative comparative analysis (fsQCA) was used to investigate causal recipes of two configurations of the experience economy and evaluation of experience leading to both high and low scores from visitor engagement. Necessary condition analysis was applied to examine necessary predictors in visitor engagement. The proposed configuration model was tested by using data obtained from visitors to science festivals in the UK.

Five causal recipes explained the complex conditions in which visitors were more likely engaged in AR. Aesthetics, education, entertainment and satisfaction were necessary for high engagement among festival visitors.

The results from fsQCA and analyses of necessary conditions help festival organizers improve visitor satisfaction and engagement in a memorable AR experience.

This empirical study deepens current festival understanding of how visitors experience AR by exploring combinations of complex configurations of the experience economy and evaluations of visitor experience based on memories and satisfaction. Unlike symmetrical approaches, asymmetrical modelling by using fsQCA can explore recipes for both high and low scores of visitor satisfaction and engagement. This is the first empirical study investigating necessary predictors of festival visitor behaviour.

This study aims to understand the relationship between the elements of a startup firms’ management control system (MCS) package, its entrepreneurial orientation (EO) and firm performance.

The authors collected survey data from a sample of 100 Brazilian startups who had exited technology-based parks and incubators. The authors used two data analysis techniques, namely, partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

The findings show that cultural and planning controls were the only two MCS elements that were included in all high-performing startup firms’ MCS packages. The authors also found that EO has a positive influence on firm performance through the MCS package.

The mixed-method approach allowed for a holistic view of the analyzed phenomenon. PLS-SEM analysis was applied to the symmetric relationships between the proposed relationships while fsQCA was used to analyze the asymmetric combinations between EO dimensions and MCS package elements, which promoted high firm performance.

The authors show how different combinations of MCS elements form a package, mediating EO, which can enable high performance.

Using fsQCA and PLS-SEM, the authors were able to better understand the important role that MCS package adoption has on a startups’ performance and provide new evidence regarding the interface between MCS and EO. This extends the understanding of the importance that cultural and planning controls have in an MCS package to support startup performance.

This paper aims to investigate the interplay of memorable tourism experiences (MTE) dimensions in driving behavioral intentions of heritage tourists through the mediating role of satisfaction.

Empirical data were collected from tourists in the heritage city of Kashan, Iran. Partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were applied to analyze the data.

The results of PLS-SEM showed that three dimensions of MTE as follows: local culture, involvement and knowledge, significantly directly or indirectly influence tourists’ behavioral intention toward a destination. However, the results of fsQCA identified greater heterogeneity among the respondents by highlighting the positive effects of hedonism and novelty on satisfaction and revisit and word-of-mouth intentions.

This study enriches the empirical evidence on MTE by constructing a composite picture of the memorability of tourists’ experiences within a heritage tourism context. This study is one of the first to investigate the effects of dimensions of MTE on behavioral intentions using both symmetric (PLS-SEM) and asymmetric approaches to identify the more significant dimensions of MTE, as well as sufficient combinations of dimensions to predict behavioral intentions.

本文旨在研究难忘旅游体验 (MTE) 各维度通过满意度这个中介变量来驱动遗产旅游游客行为意图的机制

实证数据是从伊朗遗产城市卡尚的游客那里收集的。本研究采用偏最小二乘结构方程模型（PLS-SEM）和模糊集定性比较分析（fsQCA）对数据进行分析

偏最小二乘结构方程模型的研究结果表明，难忘旅游体验（MTE）的三个维度：当地文化、参与度和熟悉程度，显著地直接或间接地影响游客对目的地的行为意向。然而，模糊集定性比较分析的研究结果表明受访者间存在更大的异质性，其结果凸显了享乐主义和新鲜感对满意度、重游意向和口碑(WOM)意向的正效应

本研究通过构建遗产旅游背景下游客体验难忘性的相互影响机制，丰富了关于难忘旅游体验（MTE）的实证研究证据。本研究是第一个同时使用对称方法（PLS-SEM）和非对称方法（fsQCA）来探究MTE各维度对行为意向的影响的研究之一，通过这种方式可以识别出MTE各维度中更为重要的维度以及维度组合，以此来预测行为意向

Este artículo investiga la influencia de las dimensiones de las experiencias turísticas memorables (ETM) en el fomento de las intenciones de comportamiento de los turistas del patrimonio a través del papel mediador de la satisfacción.

Se recogieron datos empíricos de turistas en la ciudad patrimonial de Kashan, Irán. Para analizar los datos se aplicaron las técnicas partial least squares – structural equation modeling (PLS-SEM) y fuzzy-set qualitative comparative analysis (fsQCA).

Los resultados que proporcionó el análisis PLS-SEM mostraron que tres dimensiones de las ETM: cultura local, implicación y conocimiento, influyen significativamente, de forma directa o indirecta, en la intención de comportamiento de los turistas hacia un destino. Sin embargo, los resultados del enfoque fsQCA identificaron una mayor heterogeneidad entre los encuestados al destacar los efectos positivos del hedonismo y la novedad sobre la satisfacción y las intenciones tanto de volver a visitar el destino como de realizar una comunicación de boca a boca (WOM).

Este estudio enriquece la evidencia empírica sobre las ETM al construir una imagen combinada del carácter memorable de las experiencias de los turistas dentro de un contexto de turismo patrimonial. Este estudio es uno de los primeros en investigar los efectos de las dimensiones las ETM en las intenciones de comportamiento utilizando enfoques simétricos (PLS-SEM) y asimétricos para identificar las dimensiones más significativas las ETM, así como para determinar las combinaciones necesarias de dimensiones para predecir las intenciones de comportamiento.

The authors aim to obtain the optimal combinations of factors from institutional environment adaptation mechanisms and internal resources or capabilities that influence the sustainability of a firm.

The authors develop a new index, called the sustainability index, based on the stakeholder perspective by employing a corporate credit risk index, an evaluation of a firm's corporate governance, corporate financial performance and firm age. The authors then apply both Ordinary Least Squares (OLS) Regression Analysis and Fuzzy set Qualitative Comparative Analysis (FsQCA) to obtain the optimal models for firms' sustainability.

The OLS analysis shows that the variables including financial leverage, slack, innovation capability, manufacturing capability and human capital that have significant influences on the sustainability of firms. Our FsQCA analysis obtains configurations of several solutions for firm sustainability and concludes that the fit of combinations of institutional factors and/or internal resources and capabilities of a firm is related to its sustainability.

The limitations in our new index include these: first, one may add more key metrics to measure the index; second, the findings do not provide any necessary nor a sufficient condition to get sustainability for sure. The limitations of using multiple regression analysis are that it is not able to reveal the combinations of causal conditions that can lead to the outcome in the real world as well as to the sustainability of a firm in our study. To overcome the limitations, the authors apply fsQCA analysis to identify combinations of causal conditions to a firm's sustainability in our study.

Introducing the sustainability index enables us to find out all factors influencing the sustainability of a firm. The authors’ analysis can be used to identify combinations of causal conditions to lead to outcomes in the real world. Their analysis enables managers to know how to predict the sustainability of the firm. For example, the authors’ fsQCA analysis shows that low marketing capability will lead to the high sustainability of the firm. This information helps managers to make the decision or plan to achieve good results toward their businesses and get better allocate their resources and get a better investment.

The authors’ analysis can be used to identify combinations of causal conditions to lead to outcomes in the real world and enable managers to know how to predict the sustainability of the firm. A correct prediction can assist companies in developing their future operations, which would enhance their competitiveness vis-à-vis rivals during this time of global economic volatility, which, in turn, enables firms to perform better and employ more employees that could help the entire society.

The sustainability index the authors developed in our paper is new in the literature and the findings obtained by both OLS Regression Analysis and FsQCA are new in predicting a firm's sustainability. The authors’ findings are useful for academics, managers and policymakers in predicting and maintaining a firm's sustainability.