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The purpose of this paper is to investigate whether there is a significant difference in consumer’s attitude and purchase intentions toward organic food and conventional food (non-organic food and non-genetically modified) under the influence of corporate social responsibility (CSR) for environmental protection in the context of global warming and frequent food safety issues.

To understand the triple bottom line(TBL) affect the consumers’ attitude and purchase intentions of organic food and conventional food from the consumer’s point of view, primary data collected via 363 valid questionnaires tested the conceptual model by structural equation modeling (SEM).

The results show that CSR has a significant influence on consumers’ perceived value. Moreover, perceived value is an important factor in affecting consumers’ attitude and purchase intentions. And consumers’ attitude toward environmental concern, food safety concern and CSR also have an indirect effect on purchase intentions.

The findings of the study would help corporations not only pursue economic profit but also keep a balance within the environment and the ecosystem, and serve as a reference to corporations to fulfill CSR for the goal of sustainable management.

This research aims to integrate the unified theory of acceptance and usage of technology (UTAUT) with task technology fit to explain users' behavioral intention of using library mobile applications in university libraries.

By integrating the unified theory of acceptance and usage of technology (UTAUT) and the moderator of task-technology fit, this research proposes a library mobile applications usage intention model. The study data come from a convenience sample of 363 undergraduate and graduate students. A structural equation modelling (SEM) technique was conducted to identify causal relationships.

Results showed that the UTAUT model fits the data well. The empirical data reveal that performance expectancy, effort expectancy, social influence, and facilitating conditions determine users' behavioral intention of using library mobile applications. As a determinant in the UTAUT model, the moderating effect of task-technology fit is also significant. Moreover, individuals with different levels of task-technology fit will strengthen or weaken the relationships of determinants in the intention to use library mobile applications in university libraries.

This study addresses self-reported behavioral intentions as part of the survey; as a result, the data may have introduced inaccuracies. The implications of the proposed library mobile applications success model are discussed.

University librarians should reinforce the efficiency of library mobile applications to influence users' willingness to use such applications.

This study combines both the constructs of the UTAUT model and task-technology fit to consider intentions to use library mobile applications in university libraries.

This paper aims to compare the effectiveness of the theory of planned behavior (TPB), the technology acceptance model (TAM) and the integrated TPB/TAM model to understand acceptance of library self‐issue and return systems.

The study data come from a non‐random convenience sample of 266 undergraduate students, age 18‐25. A confirmatory factor analysis was conducted using AMOS 17.0 to identify causal relationships.

Findings show that the TPB/TAM integrated model is superior to the TPB and the TAM alone in terms of the ability to explain user acceptance of self‐issue and return systems. Although subjective norm, perceived behavioral control and perceived usefulness have direct positive relationships to behavioral intention to use self‐issue and return systems, attitude plays the most important role in explaining the intention to use self‐issue and return systems.

The study assesses self‐reported behavioral intention as part of the survey and, as a result, could have introduced inaccuracies.

Librarians should reinforce the efficiency of self‐issue and return systems to influence customers' willingness to use such systems.

Little has been written on the intention to use self‐issue and return systems. The three models are novel and usable in predicting the intention of self‐issue and return systems, and the findings may also be generally applicable to librarians, users, and information systems professionals.

The purpose of this paper is to examine and predict users' information‐seeking intention regarding academic digital library services, using the theory of reasoned action (TRA) and the theory of planned behavior (TPB).

Data are collected from 224 Taiwanese undergraduate and graduate students to assess the influence of attitude, subjective norm, and perceived behavioral control on the intention to seek information in an academic digital library. The results of structural equation model‐fitting analyses show that the TPB is better than the TRA in predicting the information‐seeking intention in an academic digital library.

Specially, the empirical results indicated that perceived behavioral control is a better predictor of behavioral intention than is attitude or subjective norm.

This paper assessed self‐reported information‐seeking intention as part of the survey and, as a result, could have introduced inaccuracies.

The findings of the paper will help academic digital libraries to address the key factor which influences users' intention to seek information and to intensify their performance to meet user needs.

Although the nature of the user experience in the digital environment appears to be quite different from the experience of looking through archival boxes or folders, research on the use of academic digital library services is scarce – particularly regarding user intention in the process of seeking information. The TRA and TPB are novel and usable in explaining the intention of online users to seek information, and these findings may be generally applicable to academic digital libraries and users.

Few library studies have investigated recommendation classifications for e‐book (electronic book) usage, while none have directly compared what recommendation sources (word‐of‐mouth, advertising, and expert recommendation) might influence e‐book usage intentions. To fill this gap in the literature, the main purposes of this study are to: examine how users perceive the influence of recommendations on the intention to use e‐books for academic purposes; and to measure the level of the perception of trust and perceived risk when users receive e‐book recommendations from peers, advertisers, and experts.

Data for this study were collected from 382 academic digital library users between the ages of 18 and 25. A multiple regression analysis was then conducted to identify the key causal relationships.

The comparison of three recommendation sources (word‐of‐mouth, advertising, and expert recommendations) revealed that word‐of‐mouth (WOM) played a more important role than other recommendations in determining the intention to use e‐books in an academic digital library. In addition, enhancing the perceived trust and reducing the risk towards the use of e‐books can mediate the relationship between recommendation sources and the behavioural intentions to use e‐books.

This study assessed self‐reported behavioural intention as part of its survey and, as a result, could have introduced unintentional inaccuracies.

Librarians should emphasise e‐book advantages (e.g. easy searching, easily accessible index) to get positive recommendation if users follow all of the recommendations of the source. They can also create online discussion forums to provide usage intention discussions, which can influence users' perceptions of trust and risk and increase the willingness of potential users to read e‐books.

Little has been written on the intentions of using e‐books. Therefore, this conceptual model is novel. This model is also useful in explaining how recommendations stimulate the intentions of using e‐books by enhancing the perceived trust and reducing the perceived risk; these findings may generally be applicable to librarians, current users, and potential users.

The purpose of this study is to apply the theory of reasoned action (TRA) and the theory of planned behavior (TPB) to predict which factors can determine consumers' intentions to complain when they meet an online or offline service failure.

The method of obtaining quantitative data was that of the instrument of a survey questionnaire. Data were collected from 300 potential consumers to assess the influence of attitude, subjective norm, and perceived behavioral control on the intention to complain. Participants were assigned averagely and randomly to one of two conditions: online medium and offline medium. Two‐stage structural equation modeling was employed to test hypotheses.

It was found that both the TRA and the TPB predict the intention to complain well, although the predictive power of the TPB is more robust than the TRA in online media and is weaker than the TRA in offline media. In particular, perceived behavioral control is a better predictor of intention to complain than is attitude or subjective norm in the online environment.

This study assessed self‐reported behavioral intention as part of its survey and, as a result, could have introduced unintentional inaccuracies.

The findings of the study will help marketers to address the key factor which influences consumers' intention to complain and to improve firm performances to meet consumer needs.

The TRA and TPB are novel and usable in explaining the intention of online and offline consumers to complain, and these findings may be generally applicable to marketers and consumers.

The purpose of this study is to explore the relationships of web quality (system quality, information quality, and service quality), perceived value, and satisfaction to understand how these critical factors influence the continuance intention of using e‐learning systems in academic libraries.

The study data come from a convenience sample of 302 undergraduate and graduate students who were 18 to 25 years old. A structural equation modelling (SEM) technique was conducted to identify causal relationships.

The findings demonstrate that web quality has significantly positive influences on perceived value and user satisfaction. Furthermore, perceived value and satisfaction determines users' continuance intentions of e‐learning systems in academic libraries.

This study addresses self‐reported continuance intentions as part of the survey; as a result, it could have introduced inaccuracies. The implications of proposed e‐learning success model are discussed.

Academic librarians should reinforce the efficiency of e‐learning systems to influence users' willingness to continuously use such systems.

This paper highlights the determinants of continuance intentions of e‐learning systems in digital libraries and educates researchers, librarians, and system developers about how e‐learning systems are perceived by end‐users in digital libraries.

The purpose of this paper is to investigate the influences of natural content, food safety concern, health consciousness, and subjective knowledge on attitudes towards organic food and purchase intentions.

Samples are collected in Taiwan from April to May 2014 with a total of 252 returned effective questionnaires. The data are analyzed by structural equation modeling.

The results show that food safety concern and subjective knowledge have a significantly positive impact on attitudes towards organic food and purchase intentions, and natural content has a significantly positive effect on attitudes towards organic food. Moreover, it also shows that health consciousness and attitudes towards organic food have a significantly positive effect on purchase intentions. This study has found that subjective knowledge of organic food, health consciousness, and food safety concern are important factors impacting organic food purchase intentions.

This study provides organic industry to understand the consumer’s demand from the consumers’ perspective and as a basis for the future development of organic food.

The study results will provide a reference for the agricultural department of the government and the organic food promotion and education of organic food producers.

The purpose of this paper is to examine the factors that affect customers’ switching intentions among banks in the context of mergers and acquisitions, using particularly the case of the merger between Lloyds TSB and Halifax Bank of Scotland, which took place in 2009.

On the basis of the theory of planned behavior, a quantitative survey was developed and administered to 515 account holders from both banks in branches located in Spain. Structural equation modeling was then utilized to evaluate the significance of direct and indirect relationships between the various factors under study.

Empirical findings indicate a significant direct relationship between switching intentions and each of: behavioral beliefs, normative beliefs, attitudes, and subjective norms. Results also reveal an inverse significant relationship between switching intentions and both control beliefs and perceived behavioral control.

The absence of a longitudinal study measuring the actual impact of the merger on customer switching behavior is the main limitation of this study. Moreover, despite being insightful, the results of this study should be generalized with caution since the sample was based on a list purposely chosen by the banks’ management.

This paper discusses customer switching behavior in the context of a real-life case of banks’ consolidation.