An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia
TLDR
In this paper, the authors explored three Saudi-Arabian public sector organizations and analyzed the results using the attention-based view of the organization (ABV) as the theoretical lens.About:
This article is published in Government Information Quarterly.The article was published on 2021-07-19 and is currently open access. It has received 25 citations till now. The article focuses on the topics: Public sector & Lagging.read more
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Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union
TL;DR: In this article , the authors explore to which extent the use of AI in the public sector impacts these core governance functions and find that AI is used mainly to support improving public service delivery, followed by enhancing internal management and only in a limited number assist directly or indirectly policy decision making.
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Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy
TL;DR: In this article, the authors examined the existing challenges of AI implementation in PMS of India and explored the inter-relationships among them, and proposed a model for industrial decision-makers and managers to take appropriate decisions to develop intelligent AI enabled systems for manufacturing organizations in emerging economies.
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AI adoption and diffusion in public administration: A systematic literature review and future research agenda
Rohit Madan,Mona Ashok +1 more
TL;DR: In this paper , the authors identify technology-organisational-environmental (TOE) contextual variables and absorptive capacity as factors influencing AI adoption as discussed in the literature, and develop a future research agenda for the full AI innovation lifecycle of adoption, implementation, and diffusion.
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Trends and Trajectories in the Software Industry: implications for the future of work
TL;DR: In this article , the authors explore prominent contemporary technology trajectories in the software industry and how they are expected to influence the work in software development, and identify a set of technology trends pertinent to software development from which they derive four main changes affecting the future of work in Software development: a shift toward scalable solutions, increased emphasis on data, convergence of IT and non-IT industries, and the cloud as the dominant computing paradigm.
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Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong
TL;DR: In this article , the authors collected data via an online survey from the residents of three major Australian cities (i.e., Sydney, Melbourne, Brisbane, and Hong Kong) and performed statistical analyses.
References
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Perceived Usefulness, Perceived Ease of Use, and User
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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Building theories from case study research
TL;DR: In this paper, the authors describe the process of inducting theory using case studies from specifying the research questions to reaching closure, which is a process similar to hypothesis-testing research.
Book
Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research
Martin Fishbein,Icek Ajzen +1 more
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Dynamic capabilities and strategic management
TL;DR: The dynamic capabilities framework as mentioned in this paper analyzes the sources and methods of wealth creation and capture by private enterprise firms operating in environments of rapid technological change, and suggests that private wealth creation in regimes of rapid technology change depends in large measure on honing intemal technological, organizational, and managerial processes inside the firm.