recently, internet is widely used in our daily life, caused online customer growing rapidly, then the amount of online store rising quickly. therefore, it is an important issue for online stores to stand out from the crowd, even boost sales and profit. many enterprises had invested resource on online store, but great amount of stores were closedown. the major reason is operator spend many effor...

Volume XXVIII January-February 2016 A Study of Factors Driving Indian Youth's Intention to Purchase Online Abstract This study uses Structural Equation Modelling (SEM) to identify determinants of 'intention to purchase' online among the Indian youth. The study identified need for precision (NFP) as a new factor along with factors reported in various other studies i.e. innovativeness of customer...

The theoretical understanding of online shopping behaviour has received much attention. Less focus has been given to the formation of the ethical issues that result from online shopper interactions with e-retailers. The vast majority of earlier research on this area is conceptual in nature and limited in scope by focusing on consumers’ privacy issues. Therefore, the purpose of this paper is to ...

Continued and frequent use of social network sites (SNS) has been linked to a fear of missing out (FOMO) and online self-promotion in the form of friending and information disclosure. The present paper reports findings from 506 UK based Facebook users (53% male) who responded to an extensive online survey about their SNS behaviours and online vulnerability. Structural equation modelling (SEM) s...

We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account three key complex features exhibited by real-world electricity pricing schemes: (i) time-varying prices (e.g., time-of-day pricing, spot pricing, or higher energy prices during ”coincident” peaks) and (ii) separate charge for peak power consumption. Ou...

Pricing in the online world is highly transparent & can be a primary driver for online purchase. While dynamic pricing is not new & used by many to increase sales and margins, its benefit to online retailers is immense. The proposed study is a result of ongoing project that aims to develop a generic framework and applicable techniques by applying sound machine learning algorithms to enhance rig...

With the proliferation of social media, consumers' cognitive costs during information-seeking can become non-trivial during an online shopping session. We propose a dynamic structural model of limited consumer search thatcombines an optimal stopping framework with an individual-level choice model. We estimate the parameters of the model using a dataset of approximately 1 million online search s...

Massive Open Online Courses (MOOCs) have experienced rapid expansion and gained significant popularity among students and educators. Although the broad acceptance of MOOCs, there is still a long way to go in terms of satisfaction of students’ needs, as witnessed in the extremely high drop-out rates. Working toward improving MOOCs, we employ the Grounded Theory Method (GTM) in a quantitative stu...

Online analytical processing (OLAP) as a modern business intelligence (BI) concept provides support for representing vast amounts of data for supporting management " s decisions. Though, there is no inherent support for the representation of causal structures which could provide a foundation for advanced analysis like what-if or scenario techniques. System Dynamics (SD) is an approach with a lo...