ABSTRACT Organisations are increasingly striving to become more data-driven by embedding data into decisions, interactions and processes and by leveraging advanced AI technologies to unlock innovative use-cases. However, many remain unprepared to meet the rising demands for data, analytics and AI. A data product mindset—combining, packaging and delivering data as a product—has emerged as a
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ABSTRACT Research into adapting portfolio practices for large-scale agile environments has not kept pace with the growing interest in extending agile practices to the enterprise level. Although several agile scaling frameworks offer portfolio practice recommendations, their longer-term effectiveness is unclear, given the lack of rigorous theoretical foundations. Consequently, it is uncertain how these practices sustain
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ABSTRACT Low-code/no-code (LCNC) platforms, such as ServiceNow and Microsoft Power Platform, enable employees without formal IT training to build applications and automate workflows, thus driving agility and reducing dependence on traditional IT teams. However, LCNC platforms also pose a persistent challenge for organisations: while they offer flexibility and freedom by enabling decentralised development, they also
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ABSTRACT Most studies on the digital divide have focused on access to digital technology and individual capability to use ICT, thus treating users primarily as consumers of information. In this study, we focus on content production and examine how information technology (IT) can reduce the digital production divide for digitally disadvantaged groups. Despite the literature
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ABSTRACT Organisations across various industries are still exploring the potential of Generative Artificial Intelligence (GenAI) to automate a variety of knowledge work processes, including managing innovation. While innovation is often viewed as a product of individual creativity, it more commonly unfolds through a collaborative process where creativity intertwines with knowledge. However, the extent and effectiveness
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ABSTRACT Practically exercising responsibility when developing algorithms is a non-trivial activity. The plethora of perspectives on responsible AI often leaves practitioners overwhelmed and confused about how to start and how to ensure efforts are embedded in ongoing practice, not just one-off activities. Further, leaders who are concerned about the role of human-centred values, like dignity,
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ABSTRACT This paper addresses the challenge posed by the high cost and extensive time commitment required for Metaverse platform development by proposing an innovative, process-centric methodology. Traditional approaches to creating such platforms are hindered by both limited expertise and significant resource investments, exposing substantial development risks. Here we use Design Fictions to construct a low-cost,
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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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