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Technology-based food innovations are likely to face opposition in consumer acceptance despite certain perceived benefits. This study investigates distrust in scientists as a barrier to cultured meat acceptance and its interplay with positive drivers. For the latter, this study draws upon higher-order values (universalism) and domain-specific innovativeness.

This study proposes a conceptual model, which is empirically tested using an online survey of Austrian consumers (n = 509) and structural equation modelling.

First, this study provides empirical support for the inhibiting role of distrust in scientists on the acceptance of cultured meat. Second, universalism and domain-specific innovativeness both positively impact consumers' behavioural intentions. Third, this study finds that consumers' innovativeness mitigates the negative effect of distrust in scientists on the willingness to try cultured meat, whereas the value of universalism does not moderate this negative effect.

The findings are strategically useful for companies in the innovative food sector in terms of segmentation and targeting. For both companies and policymakers, the impeding role of distrust in scientists for technology-based food innovations depicts an aspect that might be considered relevant to be addressed.

This study adds to the current body of knowledge about consumer acceptance of technology-based food innovations, such as cultured meat, by jointly examining the relevance of human values, domain-specific innovativeness and distrust in scientists as well as their interactions to explain behavioural intentions.

In specifically examining uses of freemium applications for children, this study aims to investigate the effects on user well-being after the experiential value by examining the influence of experiential value in terms of domain-specific innovativeness; the impact of domain-specific innovativeness in terms of child well-being; the moderating role of child socialization; and the relevance of contextual variables associated with media exposure during freemium game use.

The study is based on a survey of children who had downloaded freemium games on their smartphones. A total of 410 completed questionnaires were collected from children of 9 to 12 years of age. Confirmatory factor analyses and structural equation models were applied to examine and test the study hypotheses.

The results indicate that experiential value influences domain-specific innovativeness; domain-specific innovativeness is a significant predictor of well-being; parental materialism and communication with friends significantly moderates domain-specific innovativeness and well-being; and contextual variables do not influence the model.

Public policy managers should be cognizant of these results and should make every effort to prevent the identified relationships from becoming too strong, given the strong effect of domain-specific innovativeness on child well-being.

This paper contributes to the extant literature by incorporating experiential value and domain-specific innovativeness variables within a comprehensive model and by accounting for the effects of relevant contextual variables and the moderating role of child socialization.

The purpose of this paper is to identify the benefits of an approach in which document management systems (DMSs) are based on a formal and explicit document model, primarily in terms of facilitating domain-specific customization.

Within this paper, a generic document model is proposed. The model consists of two layers. A general purpose layer, which represents common features of the documents, and a domain-specific layer, modeling properties particular to application domain. The general purpose layer is based on ISO 82045, providing high degree of interoperability with other systems developed with respect to this set of standard.

Splitting document model into the layers enables DMSs to be tailored for each particular domain of application, depending on the general purpose layer. The existence of domain-specific layer allows documents to be interpreted differently in different domains of application.

In order to enable customization of DMS for a particular domain, the implementation of domain-specific document layer is required. Also, the proposed model does not explicitly deal with document dynamics.

The proposed document ontology is general enough to provide the representation of documents not depending on a specific scope of application, yet flexible enough to enable extensions through which domain-specific document features can be expressed. The separation of document model enables development of core DMS offering services relying explicitly on the general purpose layer on one hand, as well as domain-specific customization of DMS on the other.

Internet shopping is becoming more prevalent and popular in Turkey, one of the fastest growing e-commerce markets in Eastern Europe. The growth of internet usage has focused academic attention on the factors that drive the adoption of internet shopping. The purpose of this study is to investigate how opinion leadership and open processing innovativeness influence internet shopping behavior through the mediating variable of domain-specific innovativeness.

The data for this study were collected via face-to-face contact with consumers in Eskisehir. A total of 275 usable responses were obtained.

The results reveal that opinion leadership induces positive internet shopping behavior through domain-specific innovativeness, whereas open processing innovativeness has no significant impact.

The study makes an important contribution by offering theoretical and managerial implications for internet marketers.

In developing and debating digital repositories, the digital library world has devoted more attention to their missions and roles in supporting access to and stewardship of academic research output than to discussing discipline, or domain, specific digital repositories. This is especially interesting, given that in social science these domain‐specific repositories have been in existence for many decades. The goal of this paper is to juxtapose these two kinds of repositories and to suggest ways that they can help build partnerships between themselves and with the research community.

The approach taken in the paper is based on the fundamental idea that all the parties involved share important goals, and that by working together these goals can be advanced successfully.

The key message is that by visualizing the role of repositories explicitly in the life cycle of the social science research enterprise, the ways that the partnerships work will be clear. These workings can be seen as a sequence of reciprocal information flows between parties to the process, triggers that signal that one party or another has a task to perform, and hand‐offs of information from one party to another that take place at crucial moments. This approach envisions both cooperation and specialization.

If followed, the recommendations offered in the paper will allow those implementing various kinds of repositories to work together with others in new ways, thus both enhancing the amount of information preserved and its value for the community.

This is one of the first times that the mutual possibilities of institutional and domain‐specific repositories have been brought together.

Proposes domain‐specific market segmentation as a promising approach as compared with segmentation based on general or on brand‐specific variables. Treats product differentiation and positioning as the counterpart of market segmentation. The link between market segmentation, on the one hand, and product differentiation, on the other hand, is the product benefit. The product benefit is the interaction of the product and the consumer.

Since the publication of Van Raaij and Verhallen’s seminal work in European Journal of Marketing in 1994, identifying the domain-specific market segmentation approach as one of the most feasible for segmenting markets, there has been surprisingly limited development in this field, with the food domain as the only exception. This study aims to develop a methodological approach using latent class mixture modelling as contribution in the domain-specific market segmentation field.

This study captures the AIO lifestyle perspective using a domain-specific 80-item algorithm which has the wine (product) domain as its focus. A sample size of 811 consumers is used from data collected by means of the CATI approach.

The authors use four criteria for model selection: comparison of the Bayesian information criterion (BIC) statistic, comparison of classification error, verification of the interpretation of the derived segments and, finally, use of the conditional bootstrap procedure to test whether the selected model provides a significant improvement over the previous model. The five-segment model option yields a minimum BIC, the classification error measure is minimal and is easier to interpret than the other models. Segment descriptions for the five identified lifestyle-based segments are developed.

Segmentation by traditional k-means clustering has proven to be less useful than the more innovative alternative of mixture regression modelling; therefore, the authors identify segments in the market on the basis of individuals’ domain-specific lifestyle characteristics using a latent class mixture modelling approach.

Following the attainment of a clear and robust market segmentation structure, the simultaneous analysis of the lifestyles, demographics and behaviours of consumers as nexus of the domain-specific segmentation approach, provides rich and valid information accurately informing the market segment descriptions.

The authors make a substantive contribution by developing a methodological approach using latent class mixture modelling; the first of its kind in the area of domain-specific segmentation. Next, they use the discriminant and/or predictive validity of the 80-scale items to predict cluster membership using the WRL algorithm. Finally, the authors describe the identified market segments in detail and outline the practical implications.

To investigate consumer innovativeness (CI) from a hierarchical perspective and examine the simultaneous impacts of hierarchical perspective of CI and perceived risk on new product adoption.

An extended innovativeness and perceived risk model was developed. A structural equation model was used to test the hypotheses using empirical data from 746 respondents in a high technology product context.

The results provide support for the hierarchical perspective of CI; domain specific CI mediates the relationship between global CI and new product adoption. Specifically, cognitive and domain‐specific innovativeness enhances the actual adoption of new products; whereas sensory innovativeness and perceived social and physical risks enhance consumers' propensity to acquire novel information about new products. Financial risk, on the other hand, has a negative impact on the propensity to acquire novel information about new products. Time, performance, psychological, and network externalities risks show no significant relations with the tendency to acquire novel information about new products.

The findings provide an explanation to the less than consistent relationship between consumer innovativeness and new product adoption. However, a single research context of high tech consumer goods may be a limitation and future studies need to replicate this hierarchical perspective of CI as a predictor of new product adoption in different research contexts for greater generalizability.

The findings of the study provide some guidelines to marketers on how to increase the new product commercialization success. Marketers should tap into the cognitive and domain‐specific innovativeness to enhance the new product adoption. The sensory part of CI and perceived social and physical risks have implications for the promotion and communication aspects of new product marketing.

Provides new insights about consumer innovativeness trait as a useful predictor of new product adoption.

The projected sales potential for Internet commerce indicates that businesses must understand those consumer characteristics that will influence consumer adoption of this medium for shopping. An empirical study conducted here (n = 403) investigates the extent to which open‐processing (more general innovativeness) and domain‐specific innovativeness explain the conditions under which consumers move from general Internet usage to a product purchase via the Internet. The results of our study find that generally higher amounts of Internet use (for non‐shopping activities) are associated with an increased amount of Internet product purchases. Importantly, however, this relationship is moderated by domain‐specific but not general innovativeness. Implications for business practice and academic research are provided.

Domain-specific process modeling has been proposed in the literature as a solution to several problems in business process management. The problems arise when using only the generic Business Process Model and Notation (BPMN) standard for modeling. This language includes domain ambiguity and difficult long-term model evolution. Domain-specific modeling involves developing concept definitions, domain-specific processes and eventually industry-standard BPMN models. This entails a multi-layered modeling approach, where any of these artifacts can be modified by various stakeholders and changes done by one person may influence models used by others. There is therefore a need for tool support to keep track of changes done and their potential impacts. The paper aims to discuss these issues.

The authors use a multi-context systems-based approach to infer the impacts that changes may cause in the models; and alsothe authors incrementally map components of business process models to ontologies.

Advantages of the framework include: identifying conflicts/inconsistencies across different business modeling layers; expressing rich information on the relations between two layers; calculating the impact of changes taking place in one layer to the rest of the layers; and selecting incrementally the most appropriate semantic models on which the transformations can be based.

The authors consider this work as one of the foundational bricks that will enable further advances toward the governance of multi-layer business process modeling systems. Extensive usability tests would enable to further confirm the findings of the paper.

The approach described here should improve the maintainability, reuse and clarity of business process models and in extension improve data governance in large organizations. The approaches described here should improve the maintainability, reuse and clarity of business process models. This can improve data governance in large organizations and for large collections of processes by aiding various stakeholders to understand problems with process evolutions, changes and inconsistencies with business goals.

This paper fulfills an identified gap to enabling semantically aided domain–specific process modeling.