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Open government data (OGD) are considered as a technology capable of promoting transparency openness, and accountability, which in turn has a positive impact on innovation activities and creates responsive government, collaboration, cooperation, co-creation and participation. The purpose of this paper is to explore the adoption of OGD and open data portals among students, in an attempt to discover how governments can improve their actions in this respect.

This study develops a behavioural intention-based analysis using constructs from the Unified Theory of Acceptance and Use of Technology, which is supplemented with additional constructs that meet the purpose of the study. In total, ten constructs divided into 33 items constituted the input for our study. Input data for the developed model have been collected through a structured questionnaire distributed between bachelor's and master's level students in three countries – the Czech Republic, India and Latvia. A structural equation modelling technique was used to analyse the relationships between variables of the model and test the nine hypothesis defined.

Six constructs have been identified to facilitate significant relationships with behavioural intention. The analysis of the results of the three countries allows us to draw more objective conclusions in respect to the aim of the study and to reveal country-specific aspects that need to be addressed in the future.

This study adds to the existing literature few theoretical and practical aspects. It highlights the role of open data portals as a central point of OGD infrastructures. It enables governments to understand the relationships among the related constructs, improving their actions and modifying their data infrastructures accordingly.

The purpose of this paper is to explicate and test an intention-based model to explain transfer of training behavior. The theory of planned behavior (TPB) is utilized to examine the role of transfer intention in the transfer of training process.

A sample of 132 construction practitioners in Hong Kong was adopted. All measurement and structural models were assessed with structural equation modeling.

Results showed that the three antecedents positively affected transfer intention, while perceived behavioral control and transfer intention affected transfer behavior positively. Moreover, a post hoc analysis supported the mediating role of transfer intention in the relationship between the antecedents and transfer behavior.

Confirmation of the mediating role of intention has ascertained that it should be the core of a transfer of training model. To strengthen the transfer behavior, one has to find ways to increase the intention to transfer.

This paper examined an intention-based model of transfer of training based on the TPB. The latter has rarely been applied to the prediction of transfer behavior.

The purpose of this paper is to identify factors that influence the intention to use internet stock trading among investors in Malaysia.

A structured questionnaire was used to collect data from investors who are aware of internet stock trading in Malayisa. Out of 300 questionnaire only 144 were usable.

Findings show that attitude, subjective norm and perceived behavioral control has a direct positive relationship towards behavioral intention to use internet stock trading. The theory of planned behavior can be used to explain variation in behavioral intention and actual usage.

More variations of results could be gained through a wider coverage of respondents. Other factors such as descriptive norm and perceived usefulness should be used to increase the explanatory power of the dependent variable. A comparison of the same study of explanatory power between other intention‐based model could give another valuable contribution.

This study will provide information on factors that influence and affect investor's intention to use online stock trading. In addition, the result of the study could serve as a guideline by online stock broking organizations in understanding the factors and program that need to be instilled to increase online stock trading among current retail investors and future investors.

Not much has been written on understanding intention to use internet stock trading in a developing country.

The purpose of this paper is to examine the impact of mediated power asymmetry on relational risk perception and modes of governance mechanism (intention‐based trust and unilateral control).

Survey research was conducted to collect data from 112 new product development (NPD) relationships and structural equation modeling was conducted to test the hypotheses.

The results suggest that benefiting from mediated power asymmetries by a firm is positively related to the relational risk perceived by its partner firm. This perception influences intention‐based trust to partner firm negatively and exercising of unilateral control positively. It was also found that the relationship between mediated power asymmetry and governance modes is mediated by relational risk perception.

This paper enhances the understanding of NPD relationships by examining the key mechanisms through which governance decision modes are influenced. In particular, the paper shows how mediated power asymmetries through affecting relational risk perception influence two governance modes including intention‐based trust and unilateral control.

The study aims to introduce a comprehensive segmentation instrument that incorporates the push–pull winescape attributes, providing a new perspective of the wine tourist profile and explaining their behavioural intentions in the Australian winescape.

A literature review, focus groups and expert panels generated an extensive list of push–pull winescape attributes. Pen-and-paper surveys conveniently sampled 739 wine tourists at three wineries across three wine regions in Australia. Adopting push–pull winescape attributes as the segmentation base, cluster analysis identified four segments, namely, inspireds, self-drivens, market-drivens and inerts, and their behavioural intentions were examined.

Inspireds demonstrate both self- and market-motivation. Self-drivens exhibit self-motivation but limited market-motivation, whereas Market-drivens characterise market-motivation but limited self-motivation. Inerts are limited in both market- and self-motivations. At the Swan Valley, all four segments were identified, with Inspireds being the most willing to revisit and recommend to others and Inerts, the least willing. At the Barossa Valley, only two segments emerged. Again, Inspireds and Inerts were the most and least willing to revisit and recommend to others respectively. Finally, at the Yarra Valley, three segments were identified. Market-drivens were most willing to revisit and recommend to others, followed by self-drivens and lastly, by inerts.

A comprehensive push–pull winescape segmentation base of wine tourists is introduced, which provides a more sophisticated profile of wine tourist segments than otherwise would be attained with conventional measures.

New insights into who the wine tourist is and what it is they seek from the winescape are vital to smaller wine producers whose best access to the domestic retail and export markets is through direct selling at the cellar door.

The empirically tested 18-item push–pull winescape instrument presents a comprehensive segmentation approach, which profiles wine tourists and predicts their behavioural intentions based on an extensive investigation of push–pull winescape attributes.

This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.

This study aims to examine the differences among memorable brand experience, brand preference and behavioral intentions based on the type of service providers, such as robot servers and human servers. In addition, this study investigated the relationships among the four concepts.

The data was collected from 296 customers who experienced robot servers and from 307 customers who experienced human servers.

The data analysis results indicated that there was a statistical difference with the mean value of the five concepts according to the type of employee. The results also revealed that memorable brand experience has a positive influence on brand preference, which in turn positively influences intentions to use, word-of-mouth and willingness to pay more.

This study attempted to find the difference between robot servers and human servers in memorable brand experience, brand preference and behavioral intentions in the restaurant industry for the first time.

本研究旨在根据服务提供商的类型（例如机器人服务员和人工服务员）检查令人难忘的品牌体验、品牌偏好和行为意图之间的差异。 此外, 本研究调查了四个概念之间的关系。

数据收集自 296 名体验过机器人服务器的客户和 307 名体验过人工服务器的客户。

数据分析结果表明, 根据员工类型, 五个概念的平均值存在统计差异。 结果还表明, 难忘的品牌体验对品牌偏好有积极影响, 进而对使用意向、口碑和支付更多的意愿产生积极影响。

这项研究首次试图找出机器人服务员和人工服务员在餐饮业令人难忘的品牌体验、品牌偏好和行为意图方面的差异。

This paper aims to examine the impact of corporate social responsibility (CSR) skepticism on dual types of attitudinal factors (i.e. positive attitude and reactance) and examine the impact of attitudinal factors on customers' behavioral intention.

This study applies mixed-method research to examine the link between CSR skepticism, positive attitude, reactance and behavioral intention based on attitude-behavior-context theory.

As predicted, CSR skepticism weakens a favorable attitude toward CSR, whereas it increases the level of reactance. Also, CSR skepticism negatively influences behavioral intention, while positive attitude and reactance positively influence behavioral intention.

Understanding customers' skepticism toward CSR has become increasingly important because of its negative consequences. Despite existing studies on CSR skepticism, few have focused on why and how CSR skepticism leads to negative behavioral outcomes. Thus, this research contributes to existing tourism literature by examining the role of CSR skepticism on their attitude and behavior. Findings will help researchers and practitioners understand how CSR skepticism impacts customers' behavioral intention and develops CSR strategies to enhance the behavioral intention to patronize.

The purpose of the paper is to highlight the need for Caribbean scholarship to advance and test social psychological models that speak to current entrepreneurial realities on the ground which have implications for theory, education, practice and public policy. It tests a revised entrepreneurial intentions‐based model by examining the impact of several socio‐cognitive predictors.

Using a structural equation modelling approach, a revised model of entrepreneurial intentions is tested based on a survey of 376 university students from a Caribbean university.

The chi square difference results reveal that when compared with the proposed (revised) model, a previous model advanced by Krueger is found to be the most suitable model in explaining entrepreneurial intentions.

The cross‐sectional design of the study does not permit causal statements to be made regarding the variables examined. There is a call for longitudinal research to further examine the causal links between relevant variables in entrepreneurial models.

This paper has strong practical value in that the results can assist students, educators, and present entrepreneurs in understanding the dynamics and processes involved in entrepreneurial decision‐making. This understanding can promote the development and maintenance of further entrepreneurial ventures in the Caribbean.

The paper also has a strong theoretical value as it relies on several socio‐cognitive explanations of human behaviour, and seeks to advance the theoretical field by using more rigorous analyses.

Businesses embark on cause-related marketing (CRM) initiatives as a marketing strategy to fortify consumers' behavioural intentions. Prior research indicates that human values could be tapped to understand the consumers' responses to perceived organizational motives behind undertaking social cause initiatives. This research employs Schwartz's theory of human values to examine consumers' patronage intentions towards CRM-linked fashion products. Moreover, fashion leaders play a crucial role in the diffusion of the latest fashion and fashion trends. This research investigates by integrating human values and fashion leadership, offering insights into CRM-linked fashion consumption motives.

The overarching goal was to investigate the complex interplay between human values and female fashion leadership to predict CRM patronage intention (CPI). Hence, a large-scale research study on 2,050 samples was undertaken by adopting threefold partial least squares–multigroup analysis–artificial neural network (PLS-MGA-ANN) to establish and empirically test a comprehensive model.

This study is unique as it establishes and validates the relative or normalized importance placed on human values by fashion leaders, thereby predicting CPIs. The results revealed that women with high-fashion leadership and specific value types (benevolence, universalism, self-direction) are more likely to patronize CRM-linked fashion retailers. In addition, the findings validated that women with low-fashion leadership and specific value types (tradition, security, conformity) are more likely to patronize CRM-linked fashion stores.

The findings provide a valuable rationale to non-profit marketers, fashion marketing experts and practitioners to design customer value-based profiling and manage crucial CRM decisions.