Which consumers opt for organic wine and why? An analysis of the attitude-behaviour link

Purpose The purpose of this paper is to analyse the effect of attitudes and socio-demographics on wine consumers’ real purchase behaviour for organic wine. Design/methodology/approach This study is based on GfK household panel data, a real market data source of high population coverage. A two-part fractional model was applied as two distinct categories of wine buyers were observed. The first part of the two-part fractional model consisted of a standard binary choice model and defined the likelihood of belonging to the group of organic wine buyers. The second part of the model only took organic wine buyers into account and described their purchase intensity. Findings Preferences for organic products and sustainability concerns (e.g. environmental and social concerns) drive organic wine purchases. Proving a causal relation between attitudes and purchase behaviour gives evidence that stated preferences are a reliable indicator to predict consumer behaviour. However, the weak relation between attitudes and behaviour confirms the existence of an attitude-behaviour gap. Practical implications Quality benefits of organic wine production need to be communicated to attract new customers. Stronger focus should be put on sustainability issues with the aim of encouraging organic customers to also increase their expenditures for organic wine. Originality/value The influence of sustainability concerns on purchase behaviour is still controversial and no study, so far, has analysed real purchase data for organic wine. The results provide new insights on why attitudes do not fully transform into purchase behaviour.

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Moving later in life – preferences and opportunity

International Journal of Housing Markets and Analysis ◽

10.1108/ijhma-02-2018-0012 ◽

2018 ◽

Vol 11 (5) ◽

pp. 852-874

Author(s):

Maria Kulander

Keyword(s):

Elderly People ◽

Affordable Housing ◽

Choice Model ◽

Stated Preference ◽

Economic Resources ◽

Living Situation ◽

Content Type ◽

Stated Preference Data ◽

The Usa ◽

Binary Choice Model

Purpose Statistics from Eurostat show that several European countries have an increasing proportion of elderly people, making their housing situation of increasing interest. For many years, it has been policy in Sweden to help elderly people remain in their current homes for as long as possible. This paper aims to find reasons why people want to move at different stages in life and investigate whether the pattern follows the life cycle in housing. Earlier research has been performed in the USA (Gibler and Clements III, 2011) and in China (Jia and Heath, 2016), but these questions remain understudied in Sweden. Design/methodology/approach A model of the demand for adapted houses is designed and tested on data gathered in Gävle in 2012. The method uses a binary choice model with stated preference data. Findings The results of this study show that earlier preferences and age determine the future living situation, but that senior living (rental or condominium) is most popular as a future home. Practical implications Not everyone has the economic resources to move according to their preferences; reasons include high monthly costs and taxes. Changes in the tax system may produce better moving chains and increase the supply of affordable housing. Originality/value The model in this paper could guide future studies within the area.

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Gender differences in self-employment in Spain

International Journal of Gender and Entrepreneurship ◽

10.1108/ijge-09-2017-0059 ◽

2018 ◽

Vol 10 (1) ◽

pp. 19-38 ◽

Cited By ~ 1

Author(s):

Paz Rico ◽

Bernardí Cabrer-Borrás

Keyword(s):

Gender Differences ◽

Choice Model ◽

Entrepreneurial Activity ◽

Men And Women ◽

Content Type ◽

Explanatory Factors ◽

Self Employment ◽

The Difference ◽

Binary Choice Model ◽

Unobservable Factors

Purpose The purpose of this paper is to analyse the gender differences of self-employment in Spain. Design/methodology/approach A binary choice model is specified and estimated, using information from the Continuous Working Life Sample drawn from the registers of the Spanish Social Security. Moreover, the differences in self-employment between men and women are also analysed, through the decomposition proposed by Yun (2004). Findings The results indicate that the differences between both groups in the probability of being entrepreneurs stem from unobservable factors. The difference explained by the unobservable component is 84.12 per cent, whereas the rest, 15.88 per cent, is explained by the characteristics component. The explanatory factors of being an entrepreneur affect men and women in the same way, but to a different extent, explained mainly by factors related to gender. Originality/value This paper sets out to identify whether there are gender differences in the probability of becoming self-employed and, if there are, to quantify what part of the difference in entrepreneurship between men and women is explained by the characteristics of each gender group and what part is because of unobservable factors. From the perspective of the public authority, knowing the determinants that explain why the entrepreneurial activity is different depending on gender is fundamental in being able to reduce the entrepreneurial gap between men and women.

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Enabling factors for adopting sustainable, organic wine production

The TQM Journal ◽

10.1108/tqm-11-2020-0275 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Nicola Cobelli ◽

Andrea Chiarini ◽

Elena Giaretta

Keyword(s):

Behavioral Intention ◽

Quantitative Methods ◽

Enabling Factors ◽

Wine Production ◽

Content Type ◽

Intention To Adopt ◽

Use Of Technology ◽

Negative Effect ◽

Organic Wine ◽

Facilitating Conditions

PurposeThis study expands the debate on the reasons that wine producers adopt sustainable, organic wine production. It aims to ascertain the enabling factors facilitating behavioral intention regarding such an adoption and whether these factors can be combined in a conceptual, measurable model.Design/methodology/approachA sample of 157 Italian winery companies was used. Results were analyzed through the unified theory of acceptance and use of technology model, various quantitative methods and a multi-regression model.FindingsGender, age, role, experience in the sector and company existence do not affect behavioral intention. Conversely, performance expectancy, effort expectancy, social influences, facilitating conditions, attitude and self-efficacy strongly affect behavioral intention, whereas the determinant anxiety has a negative effect. Further, four factors account for most of the variability in behavioral intention.Research limitations/implicationsThe research is limited to Italian wine producers, and the discussion is based on quantitative results alone. Qualitative data would probably produce a richer, more comprehensive understanding of some phenomena.Practical implicationsManagers and entrepreneurs intending to invest in organic wine production can gain a detailed understanding of factors that affect the behavioral intention toward these technologies by comparing their attitudes with those of Italian producers.Originality/valueSeveral studies have focused on wine consumers' behavior, but very few have investigated wineries' intention to adopt organic wine technology and the likely driving factors.

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Contingency factors and entrepreneurship: influence in business activity

International Journal of Entrepreneurial Behaviour & Research ◽

10.1108/ijebr-07-2018-0477 ◽

2019 ◽

Vol 25 (8) ◽

pp. 1685-1702 ◽

Cited By ~ 1

Author(s):

Bernardí Cabrer-Borrás ◽

Paz Rico Belda ◽

Dolores Botella Carrubi

Keyword(s):

Choice Model ◽

Empirical Literature ◽

Business Activity ◽

Proportional Hazard ◽

Economic Sectors ◽

Content Type ◽

Cox Proportional Hazard ◽

The Difference ◽

Binary Choice Model ◽

The Empirical Analysis

Purpose The purpose of this paper is to analyse the determinants of the survival of Spanish companies. Design/methodology/approach Two approaches are used and they are complementary. The first approach analyses the determinants of survival probability. For this purpose, a binary choice model is built and estimated using a sample of companies from the main economic sectors taken from the SABI database. Likewise, the Blinder–Oaxaca decomposition is applied to quantify the difference between companies with employees and without employees and the proportion of this difference that owes to observed factors or unobserved factors. Finally, the second approach is a survival analysis carried out through the Cox proportional hazard model that identifies the determinants of the duration of business activity. Findings The results of the empirical analysis show that companies without employees present less favourable conditions for survival at all stages of their evolution than companies with employees. Originality/value The contribution of this study to the empirical literature consists in analysing the difference between companies with and without employees. Due to the structure of Spanish companies, this aspect and the determinants of such difference are essential for policymakers to increase the survival for companies.

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Binary Choice Model with Endogeneity: Identification via Heteroskedasticity

SSRN Electronic Journal ◽

10.2139/ssrn.2466226 ◽

2014 ◽

Author(s):

Minxian Yang

Keyword(s):

Choice Model ◽

Binary Choice ◽

Binary Choice Model

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A binary choice model with partial observability for panel data

Model Assisted Statistics and Applications ◽

10.3233/mas-200503 ◽

2020 ◽

Vol 15 (4) ◽

pp. 315-322

Author(s):

Ekaterina Batalova ◽

Kirill Furmanov ◽

Ekaterina Shelkova

Keyword(s):

Job Search ◽

Latent Class ◽

Choice Model ◽

Maximum Likelihood Estimates ◽

Binary Choice ◽

Panel Model ◽

Binary Response Variable ◽

Monitoring Survey ◽

Binary Choice Model ◽

Time Invariant

We consider a panel model with a binary response variable that is a product of two unobservable factors, each determined by a separate binary choice equation. One of these factors is assumed to be time-invariant and may be interpreted as a latent class indicator. A simulation study shows that maximum likelihood estimates from even the shortest panel are much more reliable than those obtained from a cross-section. As an illustrative example, the model is applied to Russian Longitudinal Monitoring Survey data to estimate a proportion of the non-employed population who are participating in job search.

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The insoluble problems of books: what does Altmetric.com have to offer?

Aslib Journal of Information Management ◽

10.1108/ajim-06-2018-0152 ◽

2018 ◽

Vol 70 (6) ◽

pp. 691-707 ◽

Cited By ~ 8

Author(s):

Daniel Torres-Salinas ◽

Juan Gorraiz ◽

Nicolas Robinson-Garcia

Keyword(s):

Special Focus ◽

Data Sets ◽

Content Type ◽

Social Sciences And Humanities ◽

Promising Tool ◽

The Social ◽

Google Books ◽

Data Source ◽

Alternative Sources ◽

The One

Purpose The purpose of this paper is to analyze the capabilities, functionalities and appropriateness of Altmetric.com as a data source for the bibliometric analysis of books in comparison to PlumX. Design/methodology/approach The authors perform an exploratory analysis on the metrics the Altmetric Explorer for Institutions, platform offers for books. The authors use two distinct data sets of books. On the one hand, the authors analyze the Book Collection included in Altmetric.com. On the other hand, the authors use Clarivate’s Master Book List, to analyze Altmetric.com’s capabilities to download and merge data with external databases. Finally, the authors compare the findings with those obtained in a previous study performed in PlumX. Findings Altmetric.com combines and orderly tracks a set of data sources combined by DOI identifiers to retrieve metadata from books, being Google Books its main provider. It also retrieves information from commercial publishers and from some Open Access initiatives, including those led by university libraries, such as Harvard Library. We find issues with linkages between records and mentions or ISBN discrepancies. Furthermore, the authors find that automatic bots affect greatly Wikipedia mentions to books. The comparison with PlumX suggests that none of these tools provide a complete picture of the social attention generated by books and are rather complementary than comparable tools. Practical implications This study targets different audience which can benefit from the findings. First, bibliometricians and researchers who seek for alternative sources to develop bibliometric analyses of books, with a special focus on the Social Sciences and Humanities fields. Second, librarians and research managers who are the main clients to which these tools are directed. Third, Altmetric.com itself as well as other altmetric providers who might get a better understanding of the limitations users encounter and improve this promising tool. Originality/value This is the first study to analyze Altmetric.com’s functionalities and capabilities for providing metric data for books and to compare results from this platform, with those obtained via PlumX.

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