Continuance Intention to use High Maintenance Information Systems: The Role of Perceived Maintenance Effort

Information Systems (IS) continued use theories have typically excluded a role for effort expectancy and similar constructs arguing that they do not impact the intentions of experienced users. This may not hold true for an emerging class of information systems that we refer to as High Maintenance Information Systems (HMIS). HMIS are a class of information systems that require users to expend an ongoing maintenance effort in order to keep the system up-to-date so they can continue to reap future benefits out of using the system. This ongoing maintenance effort is unlikely to significantly diminish as users gain further experience. The proposed study seeks to develop a theoretical model that explains the factors influencing individuals’ continued use of such systems taking into account the potential role of perceived maintenance effort. The proposed model will be validated using a survey design involving experienced Facebook users. Collected data will be analyzed using structural equation modeling and qualitative data analysis techniques

Protection Motivation Theory, Task-Technology Fit and the Adoption of Personal Health Records by Chronic Care Patients: The Role of Educational Interventions

With the increasing prevalence of chronic disease throughout the world, Personal Health Records (PHRs) have beensuggested as a way to improve chronic disease self-management. However, PHRs are not yet widely used by consumers.Protection Motivation Theory (PMT) has been successfully utilized to explain health related behaviors among chronic carepatients. In addition, several Information Systems (IS) theories have been successfully used to explain technology adoption.This study combines PMT with IS theory to propose a research model to aid in the understanding of PHR adoption bychronic care patients. The role of educational interventions on various elements of the proposed model is also examined. Weoutline a survey-based study to empirically validate the proposed model using structural equation modeling techniques

A Continuance Model for a Mobile/Web Based Self-Management System for Adolescent Diabetics: The Role of Loyalty Incentive

It is estimated that 200 children per day worldwide develop Juvenile Diabetes (JD). There is no cure for JD, therefore treatment protocols focus on controlling the disease. Several information systems (IS) have been developed to help patients manage their chronic diseases, but often these systems suffer from reduced use over time or complete abandonment. Limited research has been conducted that examines continued usage in this domain. Through this study, our purpose is to build and evaluate a mobile/web based JD monitoring system combined with a rewards program designed to increase continued system use. We propose a comprehensive continuance intention model by combining the IS Continuance Model proposed by Bhattacherjee with DeLone and McLean’s IS Success Model. We also explore the role of the context specific constructs of Interaction Quality and Perceived Disease Management Effort and the moderating role of several individual factors on relations in the proposed model. We propose a longitudinal study utilizing a survey methodology to empirically validate the proposed model. Data analysis will utilize structural equation modeling using partial least squares. Participants in this survey consist of adolescent JD patients and their parents, allowing us to understand the factors which are most relevant to each stakeholder group

Consumer acceptance of biometrics for identity verification in financial transactions

Biometrics can unequivocally verify a person’s identity and, thus, have significant potential to curb the crime of identity theft, which costs individuals, organizations, and society billions of dollars annually. While financial institutions may be highly motivated to examine the feasibility of adopting biometrics for identity verification, research regarding consumer acceptance of this technology is limited. This paper proposes and empirically validates a research model for consumer acceptance of biometric identity verification for financial transactions. Additionally, conditions of voluntariness and user control are explored for their effects on user attitudes within this context. Implications for theory, practice, and future research are outlined

The Influence of Product Type on Online Trust

Trust is a critical factor in establishing a successful relationship between consumers and vendors. This paper investigates the impact of the product type being sought on consumers ’ trust within an online environment. An empirical study involving 227 online shoppers was conducted to develop and validate a structural equation model for online trust incorporating the factors of perceived usefulness, perceived ease of use and enjoyment as representative variables of a consumer’s experience within a company’s Website. Results from this study indicate significant variations in the experience and trust levels of tangible versus intangible product shoppers. 1

An Empirical Study of Consumer Satisfaction with Online Health Information Retrieval

This research examines the area of Online Consumer Health Information Retrieval (HIR) as: “a field of study that pertains to consumers’ use of the Internet to locate and evaluate health related information, for the purposes of self education and collection of facts to enable informed decision making.” A research model exploring the antecedents of consumer satisfaction with online HIR is developed by using the constructs quality, trust beliefs and satisfaction. This model for consumer satisfaction with online HIR is quantitatively validated using structural equation modeling techniques. The findings of this research provide evidence that content quality, technical adequacy and trust beliefs explain a large proportion of the variance in satisfaction with online HIR for consumers

Impact of Persuasion Processes on Consumer Attitude Towards Online Shopping: The Moderating Role of Product Involvement and Consumer Self-Efficacy

Online vendors expand significant efforts in attracting consumers to their websites. However, once a consumer lands on a vendor’s website, a more challenging task is to convince her/him to actually transact with the website by purchasing products. This research-in-progress study draws on the elaboration-likelihood model (ELM) to develop a theoretical model for the impacts of different persuasion processes (peripheral and central routes) on consumer attitude towards purchasing products online. We also propose motivational and ability factors that are likely to moderate the effects of these different persuasion processes on attitude. A survey-based methodology is outlined to empirically validate the proposed research model using structural equation modelling techniques. Potential contributions from this research to both theory and practice are also outlined

Empowering Users to Detect Data Analytics Discriminatory Recommendations

Notwithstanding the various benefits ascribed to using Data Analytics (DA) tools in support of decision-making, they have been blamed for their potential to generate discriminatory outputs. Although several purely technical methods have been proposed to help with this issue, they have proven to be inadequate. In this research-in-progress paper, we aim to address this gap by helping users detect discrimination, if any, in DA recommendations. By drawing upon the moral intensity literature and the literature on explaining black box models, we propose two decisional guidance mechanisms for DA users: (i) aggregated demographic information about the data subjects (ii) information on the variables that drive the DA output and the extent of their contribution along with information about demographics of the data set being analyzed. We suggest that these mechanisms can help decrease users’ readily acceptance of discriminatory DA recommendations. Moreover, we outline an experimental methodology to test our hypotheses

Instilling Social Presence through the Web Interface

Electronic commerce is more impersonal, anonymous and automated than traditional person-to-person commerce, and as such, typically lacks human warmth and sociability. This paper explores how human warmth and sociability can be integrated through the Web interface to positively impact consumer attitudes towards online shopping. An empirical study was undertaken to investigate the impact of various levels of socially-rich text and picture design elements on the perception of online social presence and its subsequent effect on antecedents of Website attitude. Higher levels of social presence are shown to positively impact the perceived usefulness, trust and enjoyment of shopping Websites, leading to more favourable consumer attitudes. Implications of these finding for practitioners and future research are outlined