ABSTRACT This study examines how AI consultants manage the often-cited tradeoff between explainability and predictive performance in machine learning models. While simpler models are easier to explain, they frequently underperform compared to complex, opaque ones. Through interviews with experts at a global IT consulting firm working across diverse AI projects, we explore how they evaluate explainability, perceive the explainability–performance paradox, and address the challenges of using black-box models. The findings uncover previously undocumented practices, including situations where explainability can be counterproductive. These insights offer fresh contributions to academic discourse and provide actionable implications for AI practitioners navigating this critical tradeoff.

ABSTRACT Based on Ingwersen’s cognitive model of information retrieval interaction and natural language processing, this article presents (1) design knowledge in the form of requirements, principles, and features, and (2) an artifact to instantiate the design knowledge into a novel IT artifact for COVID-19 information retrieval. We conducted several evaluation episodes, encompassing technical validations and an experiment, to investigate the artifact’s performance. Our work contributes to managing information and designing artifacts to handle situations of uncertainty.

ABSTRACT In today’s world, digital innovation is a key enabler of success in many organizations worldwide. While digital innovation has been examined from the vantage point of senior executives, there is not much scholarly attention paid to how IT employees are engaged in digital innovation. This study, drawing upon social capital theory, examines how IT employees’ relationship with the CIO can help organizations in achieving digital innovation success. Our findings show that structural and cognitive social capital between the CIO and the IT employees enhance the employees’ engagement, which in turn leads to both external and internal digital innovation success.

ABSTRACT While collaborations with open-source projects have become a strategic tool, there needs to be more focus on the resulting role conflict and the impact that mechanisms to cope with it have on the individual. We study the role of company regulations as a moderator of the relationship between organizational climate and member satisfaction. Results show that principal-agent theory can provide a lens to examine these situations and that spillover effects exist.

ABSTRACT Customer reviews on sharing economy platforms like Airbnb have been studied extensively. However, their effectiveness has recently been questioned. We investigate their role regarding listing churn on Airbnb using panel data. We find that listings with few or poor ratings will likely leave the platform. Correcting for the listings’ characteristics, we find that the best possible rating strongly predicts the listings’ success. We conclude that the best rating is a necessary but insufficient condition for success.

ABSTRACT The main purpose of this paper is to test the effect of culture, at a country level, on digital and mobile payment use. Using panel data regression analysis, the main results indicate that individualism presented a positive effect on both digital and m-payment, and masculinity showed a negative effect on m-payment. Overall, this research highlights the relevance of cultural factors to improve the understanding of digital and mobile payment.

ABSTRACT In this study, we examine the citizens’ continuance intention to use e-government services after adoption. We develop a post-acceptance Information Systems continuance extended model by integrating service quality through the e-GovQual model, and habit. Our results provide corroborative evidence that the inclusion of service quality gives better results than the original model and habit has a strong influence on citizens’ continuance intention regarding e-government services usage both directly and indirectly through moderating and mediating effects.

The security of data becomes more vulnerable despite the various safety measures. The significant contribution of the chapter is to describe the design of a secured Cloud storage mechanism using ECC. Many banks are using cloud technology. However, it is not free from hacks and threats. Here comes the focus on Cloud Security and a lot of research work is happening around it. ECC-based secured cloud framework with a logging mechanism provides a high-level design of the SSL VPN and secured cloud mobile banking. It helps to secure data transfer for users. Software applications and web services are handled by maintaining the log files securely, and this security scheme shields the aligning of different kinds of data elements to each provider using an ECC algorithm. It is implementing a two-layered security system, which includes both private and public cloud storage environments, also providing a customized secure logging mechanism that will be encrypted by ECC. The TRA (banking) customers will get lots of benefits from this cloud storage mechanism. The proposed design acts like a buffer for end users, Internet service providers, and Banks, so it is more effective and secure in the Cloud environment.