In this study the perceived value construct of the Unified Theory of Acceptance and Use of Technology (UTAUT2) is investigated in the context of a learning management system (LMS), in which the construct is redefined from its original price value conceptualization. It was found that many researchers simply ignore the price value construct when applying the UTAUT2 model in technology use studies in the educational context. This study extends the UTAUT2 framework by integrating the learning value construct and provides fresh insight about predictors of students' intentions towards LMS and its use. A quantitative research approach was employed by utilizing a closed-ended questionnaire to collect data from Malaysian university students who were users of LMS. Probability proportional stratified sampling was employed to select an appropriate sample. The results indicated a good measurement and structural model fit and suggested the significant influence of performance expectancy, social influence and learning value on students' intention towards LMS and also confirmed the influence of facilitating conditions and behavioral intention on LMS use. The extended UTAUT2 framework helps in understanding students' perceived value in the LMS context. Furthermore, this study will help institutions to consider the factors for successful implementation of an LMS in an academic setting.

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Innovation diffusion theory (IDT) has consistently been used to investigate users' technology adoption. However, it neglects the influence of emotions on technology adoption. The study objectives address the integration of emotional attachment and two-dimensional self-efficacy that provides a fresh insight into the investigation of key predictors of eBook reader adoption intention. Quantitative methodology was used and questionnaire data were collected from university students. Probability proportional stratified sampling technique was used to obtain the proportionate sample. The results indicated that the relative advantage, trialability, observability, human-assisted self-efficacy, and individual self-efficacy significantly influence the adoption of eBook readers. However, emotional attachment to paper books negatively influences the relationship between user attitude towards eBook readers and adoption of eBook readers. The results indicate a good measurement model fit and confirmed the validity and reliability of the framework. The integrated framework will be useful in understanding the behavioural and emotional factors associated with the adoption of eBook readers. Moreover, a better understanding of the contributions of assisted and individual self-efficacy for the adoption of any new product or technology will be obtained. The proposed integration will help the managers before introducing a new product in the target market by considering the users' emotional attachment to prior products.

Purpose – The purpose of this paper is to identify the unique d i mensions associated with knowledge quality (KQ) based on students’ perception in an educational institution. Design/methodology/approach – Purposive sampling was used to select students who were active users of the electronic-Learning (eLearning) system at two faculties in a single university. The qualitative data gathering employed an unstructured open-ended questionnaire distributed to the 52 selected participants. Findings – The qualitative findings unearth the students’ perspective about quality of knowledge gained from content used in online courses. In total, 34 underlying sub-dimensions of KQ emerged, which were categorized into five KQ dimensions: intrinsic KQ, contextual KQ, representational KQ, accessible KQ, and actionable KQ. Research limitations/implications – The findings provide an insight to educators to consider KQ dimensions in providing quality knowledge to students in an eLearning environment. Originality/value – Previous studies have used information quality dimensions to measure KQ because of a lack of conceptualization of KQ that leads to difficulties in operationalizing this construct. In this study, a conceptual and operational definition of KQ, in the context of eLearning, is proposed based on grounded data from students participating in an online learning environment.

Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective. Based on Technology Acceptance Model (TAM) and statistical measures we examine users' perception about different review types and its effects in terms of behavioral intention towards using online review system. By using sample of users (N = 400) and designers (N = 106), current research work studies three review types, A (regular), B (comparative), and C (suggestive), which are related to perceived usefulness, perceived ease of use, and behavioral intention. The study reveals that positive perception of the use of suggestive reviews improves users' decision making in business intelligence. The results also depict that type C (suggestive reviews) could be considered a new useful review type in addition to other types, A and B.