This study has devoted much effort to developing an integrated model designed to predict and explain an individual’s continued use of online services based on the concepts of the expectation disconfirmation model and the theory of planned behavior. Empirical data was collected from a field survey of Cyber University System (CUS) users to verify the fit of the hypothetical model. The measurement...

Article history: Received 1 April 2011 Received in revised form 4 August 2011 Accepted 5 October 2011 Available online 3 November 2011 We investigate how various ecological modernisation forces in terms of environmental regulations, customer pressure, and economic pressure are associated with the implementation of green logistics management (GLM) by Chinese export manufacturers to manage the lo...

Agile methods focus on customer satisfaction and delivering business value early, however if flexibility and adaptability are not managed during the development project, agile methods could not assure achieving the overall business expectations. Customers require risk visibility over the main aspects that define its expectations: functionality (scope), budget, time-to-market, and product qualit...

Unlike previous research which adopts simultaneous measures to examine customers’ satisfaction with the entire online shopping experience, this study examines two important stages of online buying behavior: ordering and fulfillment. The explicit consideration of the two stages acknowledges the fact that in an online environment, the two stages are distinct and there is a delay between the time ...

In today’s business environment, customer expectation towards product lifecycle information accessibility and quality is rising. Concepts such as the Internet of Things (IoT) respond to these demands enabling products becoming “intelligent” and capable of interaction. Simultaneously, society is changing with people spending more and more time online. Social networks allow them to interact richl...

Abstract: Active learning is the process in which unlabeled instances are dynamically selected for expert labelling, and then a classifier is trained on the labeled data. Active learning is particularly useful when there is a large set of unlabeled instances, and acquiring a label is costly. In business scenarios such as direct marketing, active learning can be used to indicate which customer t...

Social virtual worlds (SVWs) are an emerging phenomenon in terms of numbers of users as well as business environments. When it comes to the economic viability of SVWs, keeping existing customers active, i.e. customer loyalty, is a sine qua non. In this paper we investigate customer loyalty with two key variables: continuous use intention and purchase intention. We apply the expanded expectation...

Purpose Most Higher Education Institutions (HEIs) have silos of distributed processes, which adds to the confusion and conflict concerning Customer Relationship Management (CRM), desires, expectation needs (DEN). Where possible, in order maximise resource impact minimise organisational disruption, HEIs should practically map these DEN roles, events, activities, channels, technologies (PRE-ACTs)...