Past studies have drawn on the technology acceptance literature in an attempt to predict users’ behavioural intentions to use a new ERP system. However, few researchers have considered the connections between technology acceptance and organisational change research; and very little ERP research has focused on explanations of user readiness, openness to change and resistance intentions from an o...

Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...

the main challenge of a search engine is ranking web documents to provide the best response to a user`s query. despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. in this paper, a ranking algorithm based on the reinforcement le...

This study investigates through perceived hedonic values the influence of two features of groupbuying websites, novel curiosity and site navigation, on online consumer purchase intentions and behavior. Using GROUPON Taiwan as a case study, a webbased online questionnaire is used to collect survey data from 290 valid participants. By analyzing this information through the Partial Least Squares p...

User entrepreneurs rely on regular consumers when starting their business, for example, raising creative and financial support. This research examines consumers’ opinions with regard to the future business performance of green vs. non-green user entrepreneurs. We build previous consumer behavior perceptions. Specifically, perceive products that use green, environmentally friendly technologies a...

Not all user intentions can be extracted from the speech acts associated with an user utterance. Extra reasoning may be needed to interpret what the user said. We describe how interpretations can be generated using (i) the knowledge associated with each domain object; and (ii) the system’s expectations. We also present a way of connecting interpretations to discourse obligations, from where sys...

A speaker’s intentions can be represented by domain actions (domainindependent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users’ intentions from their utterances and should create counterpart intentions to the users’ intentions. In this paper, ...

En-route charging stations allow electric vehicles to greatly extend their range. However, as a full charge takes a considerable amount of time, there may be significant waiting times at peak hours. To address this problem, we propose a novel navigation system, which communicates its intentions (i.e., routing policies) to other drivers. Using these intentions, our system accurately predicts con...

The concept of time and ordering of events are correlated key issues in distributed computing as well as computersupported collaborative work (CSCW) systems. This paper revisits some of the assumptions that have generally been made regarding time and event ordering in distributed systems and argues that they are no longer appropriate if the goal is to faithfully preserve user intentions in CSCW...