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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.

The purpose of this study sought to identify the main themes linked with wine hotel experiences, based on tourists’ narratives shared online, and to investigate whether these narratives vary according to traveler type.

Content analysis was carried out on 4,114 online reviews of 52 wine hotels located in 27 wine regions across 11 nations in both the Old and New World.

The analysis of these web reviews revealed that narratives can be grouped under 11 themes organized into 7 main dimensions as follows: wine, lodging (i.e. hotel, area and room), food service (i.e. restaurant and breakfast), scenery (i.e. views and vineyards), staff, transportation and recommendation. The main narratives vary according to traveler type.

Improving the present understanding of wine tourists’ experiences should help wine hotel managers find new approaches to enhancing visitors’ satisfaction. As the dimensions of wine tourism experiences shared online vary according to traveler type, wine managers can design their offer to target families, couples, friends, solo and corporate clients.

Prior research has identified the need for market segmentation in the wine tourism industry. This research addresses this need by specifying the wine tourism experience according to traveler type. The breadth of the data, and the method of using travelers’ own testimony as opposed to more common surveying are additional contributions for both academics and managers.

This paper aims to identify the main themes shared in online reviews by airline travellers, as well as which of these themes were linked with higher and lower value for money ratings.

The research used mixed content analyses (i.e. quantitative and qualitative) to examine 1,200 reviews of six airline companies shared by airline travellers in a social media platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are the core services during “flights”, “airport” operations, crew and ground “staff”, ticket “classes”, “seats”, inflight “services”, “entertainment”, overall experiences of “airlines” and post-purchase recommendations of with which companies to “fly”. Low value for money ratings are linked with the “airport” and “flights” themes.

The results offer useful insights into airline travellers’ overall experiences based on social media information and facilitate the identification of the main themes linked with different value for money ratings.

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 paper aims to present the proposition of a new experimental method for obtaining very crucial data of the structural steel that is used in the tank of oil filled power transformers, namely, the volumetric losses and the magnetic permeability, both in function of the density of magnetic flux. Although these data are not usually available, they are fundamental for helping the transformer designer in avoiding the occurrence of hot spots in the transformer tank. The adoption of a conventional Epstein frame has restrictions because of the incompatibility between it and the samples of the steel.

The basis of the proposition is the same as that of the Epstein frame, with significant attention paid to the additional losses in the winding that creates the magnetic flux to the samples in the core. These losses can be significant and are created by the harmonics of current along the windings and are summed to the ohmic losses. For separating these winding losses from the magnetic losses, each sample is made as being the core of a toroidal 1:1 transformer. Thus, two tests with two identic of these toroidal transformers are necessary.

The proposed methodology is simple, because it is very similar to the classical tests of transformers (no-load and short-circuit tests). The process of separation of losses requires only a numerical fitting of curves for adjusting the winding losses as a function of the current amplitude, and the obtained results are coherent with the expected behavior of the magnetic losses and the magnetic permeability of a structural steel.

The method gives very approximate results in comparison to those obtained using the Epstein frame. The influences of the temperature and/or of the skin effect have not been evaluated.

Practical, real and thus confident data of structural steel, such as the magnetic permeability and the volumetric losses (hysteresis and Foucault), become available for the transformer designer to take actions for not only reducing the tank losses but also for avoiding the occurrence of hot spots through computer simulation.

The proposition is very new, as it allows to test steel samples with a size that does not fit to a usual Epstein frame. It takes into account the real influence of harmonic of currents in the losses along the winding of a classical Epstein frame, which has not been so far mentioned. It allows obtaining data of structural steel that had not been considered important until now.

Risk is part of corporate activity and a consequence of the businesses' demands, the market and the changes in companies and their surroundings. The way that risk is managed is different between family and non-family businesses. The paper aims to compare the different risk types experienced in the context of the coronavirus disease (COVID-19) pandemic among family and non-family businesses and to analyze whether operational, legal, strategic and image risks influence financial risks.

The nature of the study is quantitative and based on a questionnaire survey that analyses the perception of risks by 1,090 family businesses and 557 non-family businesses.

The results show the existence of statistically significant differences in the perception of financial and legal risks between family and non-family businesses, where the former being the businesses that give more importance to these risks. The perception of operational, legal, strategic and image risks have a positive influence on the perception of financial risk in family and non-family businesses.

The results obtained in the study are important because they allow an understanding about the differences in risk management between family and non-family businesses, which can lead to greater corporate sustainability and increased financial performance.

The purpose of this paper is to analyze empirically if financial crises have decreased potential output for a selected group of economies.

The authors estimate different country-specific stylized Phillips curves to verify if inflationary pressures were stronger on the recovery periods after financial crises, relative to the recovery periods after recessions.

The results, in general, do not show any clear empirical evidence that financial crises erode potential output. Moreover, there are no apparent differences in terms of the effects of financial crises over potential output between emerging and industrial economies.

This paper sheds light on the widely debated issue of whether financial crises constitute adverse supply shocks that lead to impairment in an economy’s productive potential. In interpreting the results, the authors must first recognize that all of them are based on the reduced-form relationships. Thus, they are about correlations and not necessarily about true structural relationships.

The study is very important for policy makers and specially Central Banks worldwide.

The loss of potential output is a very serious economic and social phenomenon. This paper sheds light on the debate if financial crisis lead to losses of potential output.

The paper is original in using more Phillips curves and because it studies also the behavior of emerging economies.

This systematic literature review integrates the findings of existing studies regarding technical efficiency (TE) in dairy farms. The purpose of this paper is to offer a research framework that assembles TE descriptors, a classification of previous literature that provides the basis for the synthesis and research agenda.

This paper systematically reviews 86 survey research studies using rigorous and reproducible procedures. The review is applied to published survey research.

The framework relates context, inputs, outputs and metrics of TE. There is no agreement among the authors on the context and determinants of TE. The main determinants of TE are geographical location, farm size, investments in veterinary care, feeding and milking practice, TE model estimation techniques, public policy, and management-related variables. This paper offers ten propositions for future research on the controversial results on the determinants of TE. The authors also explore the reasons for the discrepant results based on the Debreu-Farrell’s definition of TE, the contingency theory and the resource-based view of the firm, elucidating the literature and serving as a basis for future investigation. Implications for dairy farmers and researchers close the review.

Meta-analysis and meta-regression studies were long at the forefront of reviews in the TE of dairy farms. This paper offers a novel qualitative research synthesis with frameworks and the classification of previous literature and a research agenda, which provides a new and different perspective for analysis, by innovating over the available quantitative procedures to combine statistical results.

The purpose of this paper is to analyse the determinants of technical efficiency (TE) in dairy farms located in the South of Brazil, aiming for a better understanding of the topic for academics, dairy farmers and policymakers to improve the productivity and competitiveness of dairy farms.

This study was developed using a two-stage approach. Data envelopment analysis was used to estimate the TE level and regression models to understand the factors affecting TE in dairy farms. The sample size is 253 dairy farms in the South of Brazil.

The variation in the mean TE indexes reported in the literature can be explained by the attributes of the analysed studies, including the education of the farm operator, farm size (number of cows and milk), feed and labour costs, and use of services. Additionally, the results suggest that dairy farmers in the sample could increase milk output by 50.1 per cent (level of inefficiency) on average if they improve their TE.

This study makes three important contributions: first, it formulates hypotheses from the previous literature’s propositions on the estimation of TE in dairy farms; second, it tests the hypotheses in an empirical study to understand the main factors affecting the TE in dairy farms of the selected municipalities in the South of Brazil; and third, it compares previous findings on the determinants of TE in dairy farms serving different stakeholders, such as researchers, farmers and government representatives, to improve the productivity and competitiveness of dairy farms.

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.