ABSTRACT Covariance-based structural equation modelling (CB-SEM) is a robust analytical technique for validating complex measurements and theoretical models. Despite criticisms regarding overfitting, misspecification and sample size limitations, SEM remains invaluable for rigorous theoretical model testing when applied correctly. This Methods Article aims to streamline the extensive SEM criteria into essential considerations segmented across three critical
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ABSTRACT Innovation is crucial for small businesses to remain competitive and adaptable in dynamic markets. Recent advancements in AI, particularly machine learning and natural language processing, offer promising tools for enhancing product innovation. However, small businesses often face significant challenges in adopting AI due to limited financial resources, data infrastructure, technical expertise, operational and cultural
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ABSTRACT To remain competitive, many organisations are undertaking agile transformations in pursuit of agility. Information technology (IT) plays a pivotal role in supporting organisational agility; thus, it is essential that organisations select the right IT projects in a timely manner to deliver. In practice, though, organisations have struggled with effective decision-making in the IT planning
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ABSTRACT Healthcare organisations stand at a critical juncture, facing pressing challenges such as constrained budgets, growing demands, workforce shortages and heightened public expectations. Now, more than ever, there is a dire need for innovative solutions. Digital service innovation holds immense promise, offering the potential to improve health outcomes, reduce costs, enhance service quality and elevate
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ABSTRACT The relationship between digital transformation and regulation is complex and bidirectional: regulation both drives and responds to changes in the technology landscape. Moreover, regulatory efforts to shape industry-level digital transformation often produce unwanted outcomes. Existing theories are insufficient for examining this complex relationship between regulation and digital transformation. Our case study of the Finnish
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ABSTRACT The widespread applications of generative AI (GenAI) have sparked significant interest, with many organisations eager to leverage its transformative potential. Rather than focusing on individual organisations, this study examines GenAI integration within enterprise platforms, which are extensively adopted by many organisations and thus amplify both the benefits and risks of GenAI. We offer targeted
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ABSTRACT To embark on a digital transformation journey, organisations should prepare and adapt their workforce to meet the continuous need for skill adjustments. This paper reports insights from the journey of one organisation—Johnson & Johnson—that developed an employee skills inference platform based on artificial intelligence with the objective of creating a digital-first workforce capable of
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ABSTRACT With the emergence of data ecosystems organisations are not only analysing their own data but also utilising data outside of their boundaries. Interorganizational data exchange comes with new challenges in terms of data governance. Inspired by organisational information processing theory, this paper follows an action design research (ADR) approach to create a robust data
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Information Systems Journal, EarlyView. Source

ABSTRACT Digital transformation (DT) is a complex, lengthy and risky process that can disrupt habituated operations. Thus, the board of directors can and should play a crucial role in strategically steering DT initiatives. However, interviews (n?=?21) with and survey responses (n?=?19) from board members and IT leaders of large enterprises revealed that boards often lack
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