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The purpose of this paper is to attempt to outline the standard profile of the typical wine consumer, by identifying some relevant features that can influence his/her purchasing choices. Therefore, the purpose of the research is to identify the pre-eminent attributes for wine consumers and the different levels of importance that consumers ascribe to the attributes identified at the time of purchase.

In order to collect the necessary data, an ad hoc questionnaire was utilized. The questionnaire, which was anonymous, was directly distributed with the face-to-face method. In total, 1,500 copies of the questionnaire had been prepared. The data collected were processed through the use of the binary logistic regression model and the ordinal logistic regression model. The first binary logistic regression model allows to evaluate the dependence of the dichotomous variable on some potential predictors. The ordinal logistic regression model, known in literature as a cumulative model of proportional quotas, is generally appropriate for situations in which the ordinal response variable has discrete categories.

The results returned by the elaboration of the binary logistic regression model refer to the influence of the variables sex, age, educational status and income on the “wine consumption” result, which is a dichotomous variable. The only variables found to be statistically significant are gender and educational status. The most significant variables that emerged from the implementation of the ordinary logistic regression model are gender, brand, choice based on price, place of production, harvest and certification. The analysis carried out has shown that with reference to wine as a product, it is essential to focus on several attributes, among which there are of course quality and brand.

Although field experiments are extremely useful for testing behavioral hypotheses, they are often limited by a small sample. Future research in this area might focus on the knowledge level of sustainable wine of the consumer. In relation to the knowledge of the characteristics of the wine, it is possible to estimate the willingness to pay a surplus for a wine produced with sustainable methods by the consumer and the possible level of price premium.

The originality of the research lies mainly in a deeper knowledge of wine consumption trends. This information is useful to better define the wine market and to allow, especially to small businesses, to establish effective marketing strategies in relation to the real preferences of consumers and the decision-making process of choice put in place by them. In order to achieve this, the influence of all the variables on the “satisfaction of wine consumption” result was evaluated. The strength of this paper is the use of an adequate statistical approach based on the use of models, typical of inferential statistics, to reach conclusions that can be extended to the entire population of wine growers.

This paper aims to provide a tool for measuring air passenger satisfaction and for identifying the critical service aspects available in the terminal in order to offer services characterised by a high level of quality.

Statistical analysis of experimental data collected by customer satisfaction survey. Modelling by the logistic regression approach This paper explores a methodology useful for measuring airport service quality by taking into account the passenger's point‐of‐view.

The comparison between the extended and reduced model showed an insignificant impact of some services aspects on the passenger overall satisfaction, and particularly, the services linked to the helpfulness of personnel, airport appearance, airport signposting, toilets inside the terminal, and availability and frequency of bus links. The key to the reading of this results can be searched in the low correlation between the judgements expressed on some service aspects and the judgements on the overall service.

A more exhaustive list of service aspects should be investigated, and particularly the check‐in and checkout process, or flying services. The robustness of data should be verified and the model should be tested by using alternative and more current data sets.

By using the proposed models, the level combinations among the service aspects that give a desired value of overall satisfaction can be identified, and the company managing the airport services can have some suggestions in order to improve passenger satisfaction.

The value of the paper lies in having considered a consumer‐based method requiring input data collected by an experimental survey through a simple questionnaire.

This study aims to analyze the determinants of ratings of corporate bonds and sukuk issued by firms listed on the Indonesia Stock Exchange (IDX) for the 2013–2019 period.

This study uses a quantitative approach by testing hypotheses and using logistic regression. Ordinal logistic endogenous (or dependent) variables (Y) in ordinal logistics use data in the form of levels (ordinal scale). Independent (or exogenous) variables (X), include financial and non-financial factors for dependent (or endogenous) variables (Y), namely, of corporate bonds and sukuk ratings. There are two approaches to the study they are Logit and Gompit (Negative Log-Log. The population of the study is Indonesian companies listed on the IDX that issued bonds and sukuk for the 2013–2019 periods. The sampling technique is purposive. In total, 16 corporate companies adhering to the above criteria and issuing bonds and sukuk were chosen. In total, 270 types of bonds and 280 types of sukuk were selected as samples.

The results of the Logit and Gompit regression show that leverage ratio, firm size, security structure and maturity date are important determinants of corporate bond ratings while profitability and liquidity ratios appear to have no influence on the rating. In the case of sukuk, profitability, liquidity and maturity date play important roles in influencing the corporate sukuk rating. However, there is no evidence to suggest that leverage ratio, company size and security structure may affect sukuk ratings.

For both sukuk and bond issuers, it is necessary to pay attention to the factors that may affect the ratings. Specifically, Sukuk issuers need to pay attention to the return of asset, current ratio, growth and structure. On the other hand, bond issuers need to consider depth to equity, structure and maturity. As for investors, the findings of this study reveal that both bond and sukuk ratings reflect their performance.

This study provides useful information for investors that allows them to assess the risk of sukuk or bonds chosen based on rating and financial performance.

The novelty of this study lies in its econometric methodology used to identify factors which influence sukuk and bond ratings. Specifically, this study used two different techniques that allow a robust conclusion to be drawn. Furthermore, this study provides a systematic analysis which allows comparison between factors which affect bond and sukuk ratings in Indonesia.

There has been increasing consumer interest in recent times in the environmental providence of what they eat and drink. A number of different environmental wine certifications have been created and these include biodynamic, fairtrade, organic, natural and sustainable. The purpose of this study is to survey wine consumers in Australia about their interest in these eco-certifications and their willingness to pay (WTP) a price premium for wine with one of these eco-certifications.

An online survey was developed to capture the knowledge and attitudes of consumers and their socio-demographic characteristics about their WTP for eco-certified wine. Data from 454 wine consumers in Australia were collected and analysed. Descriptive statistics and Pearson’s chi-squared test analysed the significant factors which determine consumers’ attitudes towards eco-certified wines. Ordinal logistic regression with marginal effects was used to examine whether the WTP a premium for different certified wines differs significantly based on wine knowledge, attitudes and socio-demographic characteristics.

The findings of this study indicate that consumers often buy pro-environmental goods. The majority have a positive (greater than 0) WTP a premium for biodynamic, fairtrade, organic, natural and sustainable-labelled wines. The main factors influencing eco-certified wine purchase decisions by Australian consumers are previously bought eco-certified goods, previously bought eco-certified wine and respondent age. Income, education or previous wine knowledge did not positively influence WTP a price premium for eco-certified wines. Gender was not significant in the ordinal logistic regression.

Most studies in the literature use stated preference experiments to elicit WTP and these are valuable exercises, as they can provide an indication of consumer preferences for potential certifications, before they have been introduced to the market. In this study, we used an ordinal dependent variable in the logistic regression instead of a continuous variable (because of data limitations). Using ordinal dependent variables provides information on the probability or likelihood of occurring an event.

The study results provide the first price premium indications that Australian consumers are willing to pay for eco-certified wines (other than organic).

Collaborative filtering (CF), one of the most popular recommendation techniques, is based on the principle of word-of-mouth communication between other like-minded users. The process of identifying these like-minded or similar users remains crucial for a CF framework. Conventionally, a neighbor is the one among the similar users who has rated the item under consideration. To select neighbors by the existing practices, their similarity deteriorates as many similar users might not have rated the item under consideration. This paper aims to address the drawback in the existing CF method where “not-so-similar” or “weak” neighbors are selected.

The new approach proposed here selects neighbors only on the basis of highest similarity coefficient, irrespective of rating the item under consideration. Further, to predict missing ratings by some neighbors for the item under consideration, ordinal logistic regression based on item–item similarity is used here.

Experiments using the MovieLens (ml-100) data set prove the efficacy of the proposed approach on different performance evaluation metrics such as accuracy and classification metrics. Apart from higher prediction quality, coverage values are also at par with the literature.

This new approach gets its motivation from the principle of the CF method to rely on the opinion of the closest neighbors, which seems more meaningful than trusting “not-so-similar” or “weak” neighbors. The static nature of the neighborhood addresses the scalability issue of CF. Use of ordinal logistic regression as a prediction technique addresses the statistical inappropriateness of other linear models to make predictions for ordinal scale ratings data.

The role of energy efficiency and particularly energy performance certificates (EPCs) has emerged as a topical and important aspect of real estate markets. Various studies have been carried out investigating the perceived capitalisation effects of energy efficiency on property prices. There, however, remains divergence of opinion whether the capitalisation effect is truly in existence with extant research showing differing magnitudes of effects, if any. To date, no study (that the authors are aware of) has investigated the nature of the transition between EPC bands and price effects. The purpose of this study is to add to the research of the energy efficiency of housing to examine the nature of the likelihood of property characteristics being associated with higher EPC scores and value.

This research undertakes a suite of methodological tests to investigate the more latent relationships between EPC bands and pricing behaviour using 3,797 achieved sales prices within the Belfast housing market. Binary logit regression models are specified in conjunction with a Polytomous Universal Model to examine the likelihood of EPC bands falling within a particular property type and the likelihood of any pricing effects.

The findings show the differing property types to comprise very distinct and complex relationships in terms of price and EPC banding. The binary logit model estimations for both terrace properties and apartments reveal an increased likelihood to obtain higher EPC scores, with the semi-detached sector displaying a “mixed effect” with detached property revealing decreased probability of having superior energy performance and decreased likelihood of having poorer energy performance. The ordinal model estimations indicate that sales price comprises no relationship with energy performance, inferring that there is no increased probability of an increase in sales price with higher EPC rating.

This research offers new insights and focus on achieving a better understanding of the nexus between energy performance and property characteristics using alternative modelling approaches. This provides more exploratory insights into the complex relationships and offers awareness for policy discourse in terms of targeting properties which will tend to be poorer in energy efficiency.

In Morocco, universities have opted for online courses as a national effort to contain the coronavirus since the early stage. This article aims to analyze university students’ satisfaction with their distance learning experience during the COVID-19 pandemic.

This article is based on the statistical analysis of a survey conducted in 2020 at the national level among 800 university students from all disciplines enrolled in open access and regulated access institutions in Morocco. Econometrically, the authors used the ordinal logistic regression model after checking several conditions justifying its use.

Findings from analysis reveal that students lacking basic computer skills have a negative perception of this new mode of learning. The results also show a certain sensitivity of the students to the way in which the courses are taught. The satisfaction of the learners largely depends on the duration of the courses, the interactivity, and the teaching methods adopted. In designing, developing, and delivering distance education courses, students’ needs should be taken care of.

This article suggests that for public policies, professional training for teachers should equip them with the pedagogical skills so that they can adjust their teaching according to students’ levels. Training in digital tools must also be provided to bridge the digital divide and accelerate positive change and adaptation to this new mode of training. In addition, this article highlights the role of interactivity in increasing adaptation to distance learning.

The purpose of this paper is to identify whether work-family spillovers significantly affect company managers’ determination of career goals by examining the importance of gender and formal mentoring to these managers.

The study sample consisted of 4,222 Korean managers compiled from a large-scale data set (Korean Women Manager Panel) that was collected by the Korea Women Development Institution in two waves (2009 and 2011).

Positive work-family spillover is positively related to managers’ career goals, whereas negative work-family spillover is negatively related to such goals. In the presence of positive work-family spillover, formal mentoring is more effective in helping male managers establish and develop career goals.

The mentoring programs company managers are willing to engage in should be consistent with the gender role. Mentoring programs for female managers are moderately related to the importance of positive work experiences in establishing and developing their career goals. Therefore, to promote the career success of female managers, companies and societies must take actions to change the female managers’ perceptions of their management potentials.

Gender and formal mentoring programs influence the salience of company managers’ work and family roles, which determines the relationship between positive and negative work-family spillovers and career goals.

The purpose of this study is to investigate the influence of the technical and functional dimensions of service management on customer satisfaction in the bank‐SME relationship.

An ordinal logistic regression analysis is used to examine a total of 221 responses to a questionnaire distributed to small and medium‐sized enterprises (SMEs) in Sweden.

Both the technical and the functional dimensions of service management were shown to correlate with customer satisfaction. Thus, SMEs seem to evaluate their banking relationship not only on the basis of the effectiveness and quality of banks' service outcomes but also on the care and manner in which the bankers deliver services.

The study shows that relationship variables, such as personal interaction is a strong determinant for customer satisfaction in the bank‐SME relationship. Hence, there is a need for banks to focus training on understanding the issues of SMEs on a broader scale rather than solely on the sale of individual products.

The study examines both the technical and functional dimensions of service management in the bank‐SME relationship. Because most researchers treat ordinal scales as continuous variables, stronger conclusions can thus be drawn from the ordinal regression analysis performed here.

The purpose of this paper is to compare the job satisfaction of police officers in metropolitan cities with that of officers in smaller areas in a rapidly developing nation. It also assesses the difference in the factors that affect the job satisfaction of officers in metropolitan cities and smaller areas.

The research used survey data collected from 1,500 police officers throughout South Korea. Ordinal logistic (ordered logit) regression was the main method of analysis considering the ordinal response in the dependent variable.

The findings revealed no difference in job satisfaction between officers in metropolitan cities and those in smaller cities and rural areas, but certain factors, especially length of service and rank, negatively affected officers' job satisfaction in metropolitan cities; this was not the case in smaller cities and rural areas.

Although findings from police survey data of a non‐random sample of officers should be generalized with caution, the findings provide police administrators with some evidence that certain factors are necessary to minimize the likelihood of job dissatisfaction among senior and supervisory officers in metropolitan cities.

Few researchers have compared the level of and predictors of officers' job satisfaction in large and small cities, especially in non‐Western contexts. The study intends to fill this void.