12,061 research outputs found
Adapting structuration theory to understand the role of reflexivity: Problematization, clinical audit and information systems
This paper is an exploratory account of the further development and application of a hybrid framework,
StructurANTion, that is based on Structuration Theory and Actor Network Theory (ANT). The use of social
theories in general and their use in information systems (IS) research in particular is explored leading to
the use of the framework to examine the concept of what are termed humanchine networks in the context
of clinical audit, within a healthcare Primary Care Trust (PCT). A particular focus is on the manner in which
information systems-based reflexivity contributes to both entrenching a networks’ structurated order as
well as contributing to its emancipatory change. The case study compares clinic-centric and patientcentric
audit and seeks to further extend the understanding of the role of information and information
systems within structurated humanchine activity systems. Conclusions indicate that the use of more
socially informed IS methods and approaches can incorporate more emancipatory ideals and lead to
greater adoption and usage of more relevant and useful clinical information systems and practices
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A survey of simulation techniques in commerce and defence
Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches
Smooth and Resilient Human–Machine Teamwork as an Industry 5.0 Design Challenge
Smart machine companions such as artificial intelligence (AI) assistants and collaborative robots are rapidly populating the factory floor. Future factory floor workers will work in teams that include both human co-workers and smart machine actors. The visions of Industry 5.0 describe sustainable, resilient, and human-centered future factories that will require smart and resilient capabilities both from next-generation manufacturing systems and human operators. What kinds of approaches can help design these kinds of resilient human–machine teams and collaborations within them? In this paper, we analyze this design challenge, and we propose basing the design on the joint cognitive systems approach. The established joint cognitive systems approach can be complemented with approaches that support human centricity in the early phases of design, as well as in the development of continuously co-evolving human–machine teams. We propose approaches to observing and analyzing the collaboration in human–machine teams, developing the concept of operations with relevant stakeholders, and including ethical aspects in the design and development. We base our work on the joint cognitive systems approach and propose complementary approaches and methods, namely: actor–network theory, the concept of operations and ethically aware design. We identify their possibilities and challenges in designing and developing smooth human–machine teams for Industry 5.0 manufacturing systems
Sustainable business models: integrating employees, customers and technology
This Special Issue of the Journal of Business & Industrial Marketing has the same title as the 23rd International Conference CBIM 2018 (June 18-20, 2018, Madrid, Spain) “Sustainable Business Models: Integrating Employees, Customers and Technology”. In this edition of International Conference, following a competitive blind review process, papers from 126 authors and 25 countries were ultimately accepted. The best papers of the Conference were invited to submit to this Special Issue and we were also open to direct submissions from other authors.
We present here the 17 accepted papers for publication in this Special Issue
THE DEVELOPMENT OF A HOSPITAL SECURE MESSAGING AND COMMUNICATION PLATFORM: A CONCEPTUALIZATION
Pagers and phone conversations have been the stalwarts of hospital communication. With good reason, they are simple, reliable and relatively inexpensive. However, with the increasing complexity of patient care, the need for greater speed and the general inexorable progress of health technology, hospital communication systems appear to be increasingly inefficient, non-secure, and inadequate. It is unsurprising then, that methods other than pagers and phone-calls, are often utilized; be it residents communicating with other residents, nurses seeking consultant feedback, or patients seeking advice from their clinicians. Thus, this study seeks to develop a conceptual framework for the theoretical underpinning for a larger study and to answer the key research question: How can ICT (information communication technology) solutions ameliorate the current challenges regarding communication inefficiencies within healthcare? To answer this question, this study has served to develop a theoretical research framework by integrating two socio-technical theories namely Actor-network theory and Activity Theory to investigate the possibility of designing a bespoke ICT solution for a specific context at one of the largest private hospital in Australia
Artificial Intelligence in Business: A Literature Review and Research Agenda
The rise of artificial intelligence (AI) technologies has created promising research opportunities for the information systems (IS) discipline. Through applying latent semantic analysis, we examine the correspondence between key themes in the academic and practitioner discourses on AI. Our findings suggest that business academic research has predominantly focused on designing and applying early AI technologies, while practitioner interest has been more diverse. We examine these differences in the socio-technical continuum context and relate existing literature on AI to core IS research areas. In doing so, we identify existing research gaps and propose future research directions for IS scholars related to AI and organizations, AI and markets, AI and groups, AI and individuals, and AI development
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