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This study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects.

The research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention.

The results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention.

The results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS.

The study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.

Although many studies have sought to address the topic of continuance intention among Fintech customers, the reported findings are fragmented. Therefore, the present study proposes a research model that integrates the main constructs involved in Fintech continuance intention.

The current study uses a meta-analytic-based correlation analysis of effect sizes, meta-regression analysis and meta-analytic structural equation modeling, with 247 effect sizes in 69 studies involving 26,140 respondents.

The results reveal continuance intention is driven by satisfaction and trust, with ease of use and usefulness being antecedents of satisfaction and trust. The authors also found evidence to show satisfaction partially mediates the relationship between ease of use and continuance intention and that trust fully mediates the relationship between ease of use and continuance intention and partially mediates the relationship between usefulness and continuance intention. In addition, the authors found that in Western countries, with higher Human Development Index levels and greater of use of electronic payment, satisfaction has more impact on continuance intention.

From a theoretical standpoint, this meta-analytic study has implications for the literature on Fintech by offering an empirical generalization on the strength of the antecedents of Fintech continuance intentions and by testing possible moderators in a wide range of countries and studies. In other words, this study’s goal is to broaden the scope of the research. Regarding managerial implications, it is important to listen to user opinions regarding the positive and negative points of their experience with these technologies and take them into consideration when planning improvements. Additionally, the analysis shows the importance of using data from user interaction with technology, obtained, for example, through big data analytics, whereby companies can see how users behave, how much time they spend accessing certain functions and which technological features they use most, and thus seek to improve whatever is needed.

This meta-analytic study advances the understanding of Fintech continuance intentions. Using the proposed approach, it is possible to generate accurate estimates of the effect size of each analyzed antecedent as the meta-analytic method jointly evaluates the results produced by a wide variety of studies performed in different contexts, allowing more accurate conclusions to be drawn.

Understanding the effect of assortment composition on attentional levels is an essential topic for academic researchers and practitioners. This work has important implications when analyzing the influence of shopping frame time and search effort on the relationship between the reaction to assortment composition and visual attention to stock-keeping units (SKUs) pricing.

Two experimental studies through gauze behavior analysis technology (using eye-tracking equipment) analyze the variable's large assortment, visual attention to SKU pricing, search effort and shopping frame time.

The results suggest that, although it increases the search effort, a large assortment decreases the visual attention to SKU pricing. Further, our results indicate a moderating effect associated with mitigating the negative effect by medium-low levels of search effort and a moderating impact of time in this relation.

Marketing professionals can carefully optimize the in-store experience by managing the assortment and variety and by influencing consumers' visual attention to SKU pricing along the journey as part of the experience. Assortment and SKU pricing strategies need to be aligned with consumer journey design.

Our findings contribute to assortment theory and management by detailing the relationship between consumers' reactions to assortment perception and visual attention to SKU pricing in time flow. We reinforce the importance of considering assortment strategies from the consumer perspective and giving reliable information about in-store behavior.

This study aims to investigate the effects of brand familiarity on attitude formation across different advertising channels, product types and brand settings.

A meta-analysis containing 107 empirical studies with 183 effects sizes tests a theoretical model according to situational moderators and methodological factors of brand familiarity.

Brand familiarity has stronger positive impacts on attitude formation under particular advertising tools (online and real advertising), product types (hedonic and mature products) and brand characteristics (memory-based recall). The findings also depend on methodological factors such as student samples, laboratory settings and non-estimated effect sizes.

This meta-analytic study reconciles prior inconsistencies and advances the understanding of brand familiarity across key advertising, product and brand moderators.

This paper aims to analyze how judgment bias (optimism vs pessimism) and temporal distance influence self-control decisions. This research also analyzes the mediating role of perceived control on judgment bias and temporal distance.

Three studies (one laboratory and two online experiments) analyze how judgment bias and temporal distance influence self-control decisions on consumers’ willingness to pay.

The findings uncover an important boundary condition of temporal distance on self-control decisions. In contrast to previous research, the findings indicate that individuals exposed to optimism (vs pessimism) bias display more self-control in the future and make choices that are more indulgent in the present. The findings also reveal that perceived control mediates the effects of judgment bias and temporal distance.

The findings help managers to adapt short- and long-term marketing efforts, based on consumers’ momentary judgment biases and on their chronic judgment bias orientation.

This research contributes to the literature on self-control and temporal distance, showing that judgment bias reverses previous research findings on self-control decisions.

This study aims to synthesize and integrate findings from diverse research on the antecedents and moderators of customer loyalty in the banking sector. Through a comprehensive meta-analysis, the research seeks to understand the primary drivers of bank loyalty and the potential cultural, economic and social indicators that might influence these relationships.

A rigorous meta-analysis was conducted, analyzing 275 studies with 1,365 effect sizes involving over 134,000 bank customers from more than 50 countries. The research evaluated the effect sizes of the main relationships between loyalty antecedents and consequences and assessed the influence of cultural, economic and social moderators.

The study identified key antecedents of bank loyalty, with responsiveness, privacy, commitment, trust and empathy being paramount. Cultural dimensions, such as individualism and masculinity, significantly moderate the relationships between trust and loyalty. The human development index (HDI) was also identified as a significant economic moderator, particularly influencing the relationship between satisfaction and bank loyalty.

This research offers a holistic view of bank loyalty, bridging gaps from conflicting findings in prior literature. Examining a vast array of studies across diverse cultural and economic contexts provides empirical generalizations about bank loyalty behavior, offering valuable insights for academia and the banking industry.

This study aims to consolidate finds about corporate social responsibility (CSR) by conducting a meta-analysis. CSR is a topic present in both academic and practitioner discussions. Research has been conducted in different countries and contexts, using diverse methodological approaches. Consequently, there are different views about CSR and conflicting results.

This paper conducted a meta-analysis to analyse the constructs that are antecedents and consequences of CSR. This paper has also tested the moderating effects of theoretical, methodological and economic variables. The data analysis involved 66 studies, which generated 385 observations and an accumulated sample of 19,817 respondents.

The findings indicate that environmental concerns, market orientation and stakeholder pressure are the most relevant CSR antecedents. On the other hand, CSR has the strongest effects on organisational commitment, non-financial performance and customer purchasing intention. Also, firm size and cultural orientation were partially significant moderators on the relationships between organisational commitment, CSR and financial performance.

The meta-analytical approach allows for more accurate effect size estimations for each relationship analysed, as the meta-analytic method jointly evaluates the results produced by a great variety of studies performed in different contexts, making it possible to draw more accurate conclusions.

The purpose of this paper is to present a systematic framework with a meta-analytical approach to find various types of antecedents, consequences and moderation effects of the technological acceptance model (TAM) in banking contexts.

The authors conducted a meta-analysis of a total of 142 articles, which generated 636 observations, in an accumulated sample of 45,781 respondents.

The findings of this meta-analysis demonstrated 18 constructs that were antecedent to the TAM and four constructs that functioned as consequences. Most of these relationships were significant and consistent. The authors also found some methodological, cultural, economic and theoretical moderations effects between TAM constructs and the attitudes/behavioural intentions of banking technological devices.

This meta-analysis reviewed the relationships found worldwide in the literature on TAM constructs in banking contexts. It was possible to identify new avenues for future research. Some specific limitations, such as the non-use of qualitative studies and the clipping of adverse concepts, exist in the secondary data and should be registered.

The work could assist managers in decision-making because the findings resulting from the meta-analysis are more consistent than those from traditional primary surveys.

This research tested the impact of the antecedents, consequences and moderators of the TAM in the banking sector and presented important results via a meta-analytical review. This meta-analysis contributes to the marketing literature by offering a set of empirical generalisations, including relationship coefficients and calculated fail-safe numbers.

Although academics and retail managers share a common belief that crowded stores generate more sales, there is a growing concern about the negative impact of retail crowding on customer relationship management (CRM). This research aims to understand the underlying processes driving the effect, and it explores potential moderators that may mitigate the negative effects on consumer satisfaction.

This research employs a meta-analysis on retail crowding effects and potential moderators.

The integrative model of retail crowding reveals that social needs, crowd similarity, crowd expectation and uncertainty avoidance mitigate the negative retail crowding effects on satisfaction.

The authors advance the retailing literature by synthesizing recent studies on retail crowding. The findings also provide a clearer understanding of the mediating role of negative emotions in the relationship between retail crowding and satisfaction.

This research offers guidance for retail managers on how to mitigate the harmful effects of crowding on customer satisfaction.

This research contributes to the retailing literature and offers guidance for retailers on how to mitigate the harmful effects of crowding on cvustomer satisfaction. Our moderation analyses provide insights into how and when crowding drives consumer satisfaction.

This article aims to perform a meta-analysis through a systematic review that will identify the main antecedents and consequents of the satisfaction of sports spectators.

This study used a total of 927 papers that studied satisfaction in the context of sports and directly analyzed 51 papers that presented quantitative data. This review of the existing literature resulted in 18 antecedent constructs and identified four constructs consequent to the satisfaction of sports spectators.

The results showed 21 positive relations and 1 negative relation with the satisfaction of sports spectators. A significant moderating effect of some cultural orientations and levels of human development are identified. The results demonstrate that the effect between interaction quality and satisfaction on the one hand, and satisfaction and behavioral intention on the other, is stronger for Eastern countries and those with a higher level of economic development.

This meta-analytic study advances the understanding of biases present in primary studies with various limitations. Using the proposed approach, it is possible to generate accurate estimates of the effect size in each analyzed relationship, as the meta-analytic method jointly evaluates the results produced by a great variety of studies performed in different contexts, making it possible to draw more accurate conclusions.