Task technology fit in online transaction through apps

The purpose of this chapter is to examine what aspects of task-technology characteristics are most relevant to fit, satisfaction, and continuance intention of using apps in mobile banking transactions. Applying the SEM approach to a sample of 250 Malaysians, the findings of this chapter imply that the task characteristic of transaction-based apps is more relevant than technology characteristics. The results suggest that degree of fit is highly associated with mobile apps user satisfaction. Furthermore, the higher the degree of fit, the higher is the continuance intention to use apps for online transactions. Surprisingly, the findings show that the task characteristics are not relevant to continuous intention to use apps for online transactions

A Discrepancy between Objective and Perceived Privacy Risks? Understanding Messaging Service’s Discontinuance Usage

The number of users discontinuing messaging services due to perceived privacy risks has grown rapidly in recent months. Still, research on privacy risks in this context has not received much attention. We aim to examine the impact of objective and perceived privacy risks on discontinuance usage. To determine the level of objective privacy risks, we analyze the privacy policy of the messaging service WhatsApp. So far, we identify aggregation, secondary use, identification, and increased accessibility to be the most prevalent objective risks. We propose a longitudinal design to capture individuals’ perceived privacy risks and test the influence of both risk dimensions on the discontinued use of messaging services. We contribute to literature by disentangling the interplay of objective and perceived privacy risks on discontinuance

Effects of Positive Emotions on Enhanced IT Use

Recently emotions started to receive more attention from IT use researchers. However, similarly to psychology, much of the focus goes to investigation of negative emotion influence. Drawing on broaden-and-build theory and flow theory, this manuscript aims to explore how positive emotions can influence enhanced IT use. In order to test it, experiment study is proposed. Findings are expected to support influence of positive emotions on enhanced IT use via state of flow. This suggests that organizations seeking to improve individual IT use should aim to stimulate positive emotions in individual users

Feature Performance Metrics for Software as a Service Offering: The Case of HubSpot

This paper provides an industry case study for measuring the performance of software as a service (SaaS) product features in order to prioritize development efforts. The case is based on empirical data from HubSpot and it is generalized to provide a framework applicable to other companies with large scale software offerings and distributed development. Firstly, relative value is measured by the impact that each feature has on customer acquisition and retention. Secondly, feature value is compared to feature cost and specifically development investment to determine feature profitability. Thirdly, feature sensitivity is measured. Feature sensitivity is defined as the effect a fixed amount of development investment has on value in a given time. Fourthly, features are segmented according to their location relative to the value to cost trend line into: most valuable features, outperforming, underperforming and fledglings. Finally, results are analyzed to determine future action. Maintenance and bug fixes are prioritized according to feature value. Product enhancements are prioritized according to sensitivity with special attention to fledglings. Underperforming features are either put on “lifesupport”, terminated or overhauled

The impact of social influence and third party endorsement on online shopping in Saudi Arabia

It is well documented that social influence and third party endorsements play a significant role in developing trust in E-Commerce. Previous studies have shown that it is relatively true in many countries and across cultures. However, very few studies were conducted in the Middle East and to our knowledge this was the first time to consider family members and friends Recommendation with the context of social influence conducted within Saudi Arabia. The research reported in this paper attempts to investigate whether the findings from previous studies will be similar in Saudi Arabia. Specifically, this study will evaluate the impact of social influence and endorsements on online shopping and whether this plays an important role in increasing online shopping in Saudi Arabia. The results of this study are based on quantitative data collected from a sample of 606 Saudis citizens living in Saudi Arabia. Four factors connected to the impact of social influence and third party endorsements in online shopping are examined. The initial findings of this research confirm that there are similarities with the results of previous studies conducted in other countries. Similarly, the impact of social influence and third party endorsements seems to encourage and support the development of online shopping in Saudi Arabia

Post-Adoption Behavior of Mobile Internet Users: A Model-Based Comparison between Continuers and Discontinuers

Many mobile Internet users are not continuing to use mobile Internet services after initial use. This study aims to explore how such users (discontinuers) differ from ongoing users (continuers) in terms of accepting mobile Internet technology. We propose an adoption model for the mobile Internet consisting of seven critical factors. An on-line survey was conducted on the basis of this model to compare continuers and discontinuers. The survey results show that discontinuers are more sensitive to usefulness and social influences in using mobile Internet services, while continuers are more sensitive to ubiquitous connectivity

To Adopt or Not to Adopt - That is the Question

The area of adoption and diffusion has had a strong pro-innovation bias (Brancheau and Wetherbe 1990; Parthasarathy and Bhattacherjee 1998; Ram 1987; Venkatesh and Brown 2001). This bias has resulted in somewhat of a neglect of the area of non-adoption. Existing theories including TAM (Davis 1989) and the innovation diffusion theory (Rogers 1983) provide critical insights into technology usage. However, the factors that facilitate technology adoption are not necessarily the same as those affecting non-adoption. This paper examines the non-adoption phenomenon and presents the case that the category of non-adopts refers to a complex subset of individuals. Characterizing resistance as either active or passive provides a framework for further analysis into the non-adoption phenomenon. Ultimately, the issue of non-adoption is just as critical as that of adoption