Search results for "ONLINE"

The effects of two-way communication and chat service usage on consumer attitudes in the e-commerce retailing sector

2018

In e-commerce retailing (e-retailing), where competitors are only one click away and prices are easy to compare, providing superior customer service and reciprocal communication via a company’s website are important aspects of attracting and retaining customers. One increasingly popular solution to improve customer service is a “live chat” interface that allows consumers to have real-time conversations online with customer service agents. As the literature on the impacts of real-time communication via live chat is currently very limited, this study develops and tests a model that demonstrates the moderating effects of a chat service on the relationship between two-way communication (i.e., a…

Identifying the Sales Patterns of Online Stores with Time Series Clustering

2018

Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …

Ideal types of online shoppers : a qualitative analysis of online shopping behavior

2018

Due to the growing popularity of online shopping, there is a growing demand for understanding the motives and behaviour of online shoppers. This study aims to increase this understanding by examining online shopping behaviour from the perspective of UTAUT2 theory integrated with self-efficacy and risk avoidance components. The thematically analysed data from 31 participants highlights the unique aspects of online shoppers by grouping them into ideal types, presenting the data as extensively as possible. An ideal type is an analytical construct used to ascertain similarities and deviations to concrete cases in an individual phenomenon. This study discovered five ideal types of online shopper…

Identifying the Sales Patterns of Online Stores with Self-Organising Maps on Time Series Data

2018

Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …

The Effects of General and Mobile Online Shopping Skilfulness and Multichannel Self-Efficacy on Consumer Showrooming Behaviour

2022

Although showrooming behaviour is a characteristic aspect of modern omnichannel retailing, our understanding of its antecedents remains limited. In this study, we aim to address this gap in prior research by examining how showrooming behaviour is affected by three different kinds of perceived consumer capabilities: general online shopping skilfulness, mobile online shopping skilfulness, and multichannel self-efficacy. The examination is done by utilising data from 1,024 Finnish consumers, which was collected with an online survey in 2021 and is analysed with structural equation modelling (SEM). In summary, we find mobile online shopping skilfulness to have a strong positive effect on showro…

Enhancing web course design using action research

2010

Using a blended approach to enrich MOOCs on Finnish education

2021

Blended education embraces various combinations of face-to-face and online teaching. It has become a normal part of higher education degree programmes. Since the late 1990s, the Open University of the University of Jyväskylä (JYUOpen) has been offering online and blended education for its rapidly growing number of students. For many years now, Finnish education has ranked high in PISA research. Furthermore, the University of Jyväskylä has been successful in global rankings, especially in the field of education (Shanghai Ranking: 36, QS World University Rankings: 51–100 and Times Higher Education: 67). In order to present the success factors of the Finnish education system, we offered our fi…

Digital advertising around paid spaces, e-advertising industry’s revenue engine : A review and research agenda

2017

We develop and describe a framework for research in a particular segment of digital advertising. Internet Advertising Paid Slots and Spaces (IAPS) is a neologism and work almost like a stock exchange for buying and selling advertising in various formats on designated spaces around web and make a significant contribution to Internet advertising revenues. These paid spaces were found to encompass diverse areas of Internet advertising that include search engine marketing, social media advertising and display advertising. Given the complexity of the modern digital advertising eco system, this literature review seeks to provide clarity, up-to-date knowledge and ongoing insights into Internet adv…

Using AI to personalise emotionally appealing advertisement

2019

Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards…

Online support for vulnerable consumers: a safe place?

2017

Purpose This paper aims to examine the service experience in an online support community of consumers to understand the nature of social support and how it is experienced and enacted by vulnerable consumers. Design/methodology/approach A netnographic study was conducted to examine vulnerable consumers’ participation in an online support group for weight management. The Linguistic Inquiry Word Count (LIWC) program was used, and additionally data were coded using open coding. A hybrid approach to data analysis was undertaken using inductive and deductive methods. Findings The findings suggest online social support groups can be used as an online “third place” to support vulnerable consumers, …