Information Systems

Abstract: Background: This study aimed at validating the updated DeLone and McLean’s information systems success model (D&MISS) in a developing country’s infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries’ the Health Information System’s (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS’s infectious disease pandemic readiness and response in developing countries? Method: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model’s six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported. Results: 70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05. Conclusion and relevance: The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.

Abstract: A more equal and sustainable digital future depends on the inclusion of digitally marginalized communities in the socioeconomic opportunities created by digital technologies. Digital inclusion is a complex process that involves all stages of digital innovation, including development, adoption, use, and maintenance. However, past research has largely approached digital inclusion as an adoption and use challenge. In this paper, we develop a view of digital inclusion as a design challenge. We focus on the activities of requirements elicitation (RE) as a critical element of the design process and draw on a design-based interpretive study involving the design of two mobile apps for agricultural communities in India and China. We analyze how the conditions of digital inequality underlying the digital marginalization of these communities affect their sensemaking as they participate in RE activities. We conceptualize these challenges as limitations on the emergence of technology affordances. Our findings reveal various shifts, or translations, in the emerging affordances, which enabled the RE activities to be more generative and consequently more inclusive. These affordance translations manifested along three main dimensions: specificity, temporality, and collectivity. We discuss the implications of these findings for the inclusion of marginalized communities in the design of new technologies.

Abstract: The current research proposes an integrated model to investigate both the bright and the dark sides of consumer–human brand relationships facilitated by social media on consumers' lives. Grounded in the duality of social media and self-regulation theory, the findings show that human brand attachment improves consumers' daily performance through stress relief, which in turn increases life satisfaction (Study 1). However, the findings also indicate that human brand attachment can cause consumers' daily performance to deteriorate as a result of compulsive human brand consumption on social media and human brand-personal conflict, which diminishes life satisfaction (Study 2). Collectively, the findings may suggest that strong consumer–human brand relationships tend to be detrimental to consumers' well-being as the indirect negative impact of human brand attachment on daily performance and life satisfaction overpowers its indirect positive impact (Study 3). Such detrimental effects are moderated by self-regulatory focus (Study 4). Moreover, the findings indicate that the indirect negative effect of human brand attachment is attenuated when consumers have a higher level of work/study–life balance. Accordingly, the current research advances the theoretical understanding of the consumer–human brand relationship facilitated by social media, by highlighting its dual effects associated with the nature of technology and consumers' self-regulatory focuses.