Online consumer ratings play a crucial role in determining a product's long-term success. This study examines the direct impact of consumer technology frustration and consumer passion on app ratings and evaluations over time. Beyond these direct effects, we propose that consumer passion moderates the relationship between technology frustration and evaluations-specifically, passion amplifies the negative impact of frustration, making a double-edged sword. Using data from the Google Play Store, we tracked the top 20,000 Android apps over three months (September 29, 2023-January 1, 2024), constructing a panel dataset with 11,568 panels and 13,810 observations. Our disaggregated analysis-considering download volume, app age, price, and publisher rating-confirms the hypothesized effects. Remarkably, established apps and publishers are particularly vulnerable to the intensified negative substitution effect. Our findings suggest that new app developers should prioritize a functional, intuitive platform and enhance it over time to foster consumer passion. Meanwhile, established apps must actively minimize technological frustration, as passionate users' negative experiences can significantly impact ratings and future downloads.
7 September 2021 in Industrial Management & Data Systems
Purpose: Delay in the clinical information system (CIS) restoration overseeing critical health-care operations after an unexpected data loss can be fatal for patients under care. Investment in information technology (IT) capabilities and synergy between various computerized systems has been argued as the resilient information system's enablers. The purpose of this study is to empirically quantify the influence of IT investment, integration and interoperability in recovering the CIS from a data disaster.Design/methodology/approach: An archival dataset sourced from a European Commission-sponsored survey of 773 hospitals across 30 countries in Europe is utilized to study the relationships. The study adopts a quasi-experimental research design approach where sample observations are weighted based on their propensity to be selected in treatment groups. The artificial weighing allows attaining a pseudo-random sample to counter the effects of selection bias.Findings: The study finds that hospitals with more than 5% of the budget dedicated to IT have 100% higher odds of recovering immediately from a critical data loss in comparison to those that have less than 1% investment in IT. The greater extent of IT integration significantly reduces the time to recover the CIS, while interoperability problems at the organizational level lessen the odds of immediate recovery by 19%. Interoperability problems at the technical and semantic levels do not significantly impact recovery times of the CIS.Originality/value: The study proposes several empirically quantified and scientifically tested recommendations for health-care providers for faster restoration of critical CIS operations post data loss. The differential impact of the interoperability problems at the technical, semantic and organizational levels has also been highlighted.
This study investigates the implications of increased internet penetration on demand in the context of pharmaceutical prescribing. The internet has changed the information and tools available to make decisions in complex tasks such as those made by physicians, and any impact on prescribing patterns has implications for the marketing activities of drug manufacturers, necessitating a strategic rethink of business practices. This study conceptualizes the prescription decision‐making process through the lens of expectancy value theory. The unique research design allows for the observation of contrasting internet penetration rates of geographically distributed physicians over an extended time period in multiple drug categories. Modeling physician behavior as a combination of learning, peer effects, and face‐to‐face detailing by pharmaceutical firms, the study finds that the growth of the internet has a significant moderating impact on detailing efforts. Interestingly, the study also documents the interaction between learning and peer effects, as well as how the internet ultimately reduces reliance on prior prescription behavior (prescribing inertia) for the four Cardiovascular drug categories under consideration. We discuss the implications of these findings for R&D managers, marketers, and policymakers.
During the recent coronavirus pandemic (COVID-19), nations across the globe adopted lockdown measures to flatten the growth curve of new cases and reduce the demand for healthcare services. Compliance with COVID restrictions has been a challenge for governments across the globe. The citizens initially welcomed COVID restrictions, but as the monetary losses mounted, they were criticized in some countries. This research examines the interrelationship between public trust in government and compliance with COVID-19 health directives using the comprehensive COVIDiSTRESS dataset, encompassing responses from 63 countries and over 100,000 participants. The study reveals a pronounced correlation between trust in governmental institutions and adherence to pandemic guidelines. Specifically, individuals exhibiting higher trust levels demonstrated a 15% increase in the odds of compliance. However, the relationship is influenced by unobserved country-specific characteristics, highlighting the unique cultural, demographic, or political contexts influencing compliance across different nations. The findings underscore the significance of trust in governance as a determinant of public health behavior and emphasize the need for strategies that consider country-specific nuances to enhance compliance. The study offers critical insights for policymakers, suggesting that cultivating trust can serve as a preventive and remedial measure in public health crises. <!----> <!----> <!----> <!---->
Guest editorial: “Digital transformation of healthcare and finance: the role of blockchain, fintech and AI” - Author: Utkarsh Shrivastava, Mohammad Daneshvar Kakhki, Jiahe Song, Matthew M. Ross