Knowledge

9 pages, 602 KiB

Open AccessArticle

Digital Transformation of Health Professionals: Using the Context Optimisation Model for Person-Centred Analysis and Systematic Solutions (COMPASS) Implementation Model Use Case

by Carey Ann Mather, Joshua Fraser Bailey and Helen Mary Almond

Knowledge 2023, 3(4), 679-687; https://doi.org/10.3390/knowledge3040042 - 14 Dec 2023

Viewed by 1431

Abstract

In today’s demanding healthcare landscape, the use of theoretical frameworks is paramount for navigating the complexities of digital health challenges. The Context Optimisation Model for Person-centred Analysis and Systematic Solutions (COMPASS) theoretical framework and implementation model serves as an invaluable direction tool in [...] Read more.

In today’s demanding healthcare landscape, the use of theoretical frameworks is paramount for navigating the complexities of digital health challenges. The Context Optimisation Model for Person-centred Analysis and Systematic Solutions (COMPASS) theoretical framework and implementation model serves as an invaluable direction tool in planning, implementing, and evaluating digital healthcare initiatives. This paper showcases the tangible value of the COMPASS implementation model through a use case scenario involving an accredited exercise physiologist and a healthcare user with Type 2 Diabetes Mellitus who seeks credible information via a mobile digital device. Within this example, the COMPASS model demonstrates the ability to enhance systematic processes, streamline the workflow of health professionals and develop their capabilities to actively contribute to the transformative realm of digital health. Through exploration of the use case and the significance of the systematic processes as a research direction, the empowerment of health professionals to play pivotal roles in ongoing digital health transformation is emphasised. The COMPASS model emerges as a powerful tool, guiding health professionals and organisations towards innovative and sustainable solutions in the dynamic landscape of digital healthcare. Full article

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17 pages, 4650 KiB

Open AccessArticle

Process Mining Organization (PMO) Modeling and Healthcare Processes

by Angelo Rosa and Alessandro Massaro

Knowledge 2023, 3(4), 662-678; https://doi.org/10.3390/knowledge3040041 - 22 Nov 2023

Cited by 1 | Viewed by 1885

Abstract

Process mining organizatioQn (PMO) is an innovative approach based on artificial intelligence (AI) decision making suitable for designing healthcare processes for human resource (HR) organizations. The proposed work suggests some examples of PMO-based Business Process Modeling and Notation (BPMN) workflows by highlighting the [...] Read more.

Process mining organizatioQn (PMO) is an innovative approach based on artificial intelligence (AI) decision making suitable for designing healthcare processes for human resource (HR) organizations. The proposed work suggests some examples of PMO-based Business Process Modeling and Notation (BPMN) workflows by highlighting the advances in HR management and in risk decrease according to healthcare scenarios. Specifically proposed are different examples of “TO BE” process pipelines related to an upgrade of the organizational healthcare framework, including digital technologies and telemedicine. Important elements are provided to formulate HR management guidelines supporting PMO design. The proposed BPMN workflows are the result of different consulting actions in healthcare institutions based on the preliminary mapping of “AS IS” processes highlighting bottlenecks and needs in HR organization. A pilot experimental dataset is used to show how it is possible to apply AI algorithms providing organization corrective actions. The paper is mainly focused on discussing some validated BPMN models managing HR in the healthcare sector. The methodology is based on the application of the BPMN approach to deploy human resource organizational processes. The results show AI data-driven workflows adopted in healthcare and examples of AI fuzzy c-means outputs addressing organizational actions. Full article

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20 pages, 1125 KiB

Open AccessArticle

The Motivational Utility of Knowledge: Examining Fundamental Needs in the Context of Houselessness Knowledge

by Micah Watanabe and Danielle S. McNamara

Knowledge 2023, 3(4), 642-661; https://doi.org/10.3390/knowledge3040040 - 22 Nov 2023

Viewed by 1224

Abstract

Past research on knowledge has differentiated between dimensions (e.g., amount, accuracy, specificity, coherence) of knowledge. This paper introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on fundamental human needs (e.g., physical safety, affiliation, actualization, reproduction). Adults [...] Read more.

Past research on knowledge has differentiated between dimensions (e.g., amount, accuracy, specificity, coherence) of knowledge. This paper introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on fundamental human needs (e.g., physical safety, affiliation, actualization, reproduction). Adults in the United States (N = 190) were recruited from an online survey platform and paid for participation. Participants read a set of four texts arguing different views of houselessness and were administered a comprehension test after each text. Participants were asked about their conceptions of houselessness before and after reading. Finally, they were given the MUK scale, a demographics questionnaire, including questions about their personal experience with houselessness, and were administered a general prior knowledge test and a vocabulary knowledge test. We examined MUK, the factor structure of the scale and the relationship between MUK and other measures of knowledge. The analyses showed that the subscales of MUK loaded onto a single factor—an overall value of houselessness knowledge. In addition, we found that MUK was correlated with conceptions of houselessness and comprehension of texts on houselessness, indicating that the scale was valid. Overall, the findings demonstrate that MUK is an important dimension of knowledge to consider in learning tasks. Full article

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16 pages, 3399 KiB

Open AccessArticle

Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers

by Gokula Vasantha, Jonathan Corney and Chandra Kant Upadhyay

Knowledge 2023, 3(4), 626-641; https://doi.org/10.3390/knowledge3040039 - 9 Nov 2023

Viewed by 1277

Abstract

Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrated into advanced software and algorithms. However, crowdsourcing tasks are primarily undertaken by urban rather than rural workers. To enable the [...] Read more.

Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrated into advanced software and algorithms. However, crowdsourcing tasks are primarily undertaken by urban rather than rural workers. To enable the development of skilled rural employment, this research aims to assess rural crowdsourcing workers’ spatial reasoning and creative abilities and their abilities to solve irregular strip packing problems associated with the manufacture of sheet materials. The study conducted experiments and data collection with 140 rural Business Processing Outsourcing (BPO) workers located in six states of India. The statistical analyses of the data collected from seven rural BPO firms (140 rural workers) reveal that rural workers can achieve a 2D packing efficiency that is up to 8% higher than that of commercial algorithm outcomes. The results suggest that rural crowdsourcing can lead to effective job creation, skill development, and, for a modest cost, it can support industries that employ CAD/CAM systems to generate geometric data for common manufacturing processes. Full article

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16 pages, 4660 KiB

Open AccessArticle

Enhancing Landfill Monitoring and Assessment: A Proposal Combining GIS-Based Analytic Hierarchy Processes and Fuzzy Artificial Intelligence

by Anna Isabel Silva Loureiro, Adriano Bressane, Victor Fernandez Nascimento, José Victor Orlandi Simões and Rogério Galante Negri

Knowledge 2023, 3(4), 610-625; https://doi.org/10.3390/knowledge3040038 - 20 Oct 2023

Cited by 1 | Viewed by 1995

Abstract

The global surge in urbanization and population growth has led to a significant increase in municipal solid waste generation, posing a considerable challenge in identifying suitable landfill sites. This study proposes a novel framework that enhances landfill site monitoring and assessment by combining [...] Read more.

The global surge in urbanization and population growth has led to a significant increase in municipal solid waste generation, posing a considerable challenge in identifying suitable landfill sites. This study proposes a novel framework that enhances landfill site monitoring and assessment by combining GIS-based hierarchical analytical processes with a fuzzy inference system (FIS). The study employs a systematic approach involving phases such as feature selection, spatial analysis, criteria weighting, FIS building, and a case study conducted in São Paulo State, Brazil. The proposed framework effectively assesses landfill suitability and offers practical recommendations for landfill management and future site selection. This framework provides actionable recommendations for landfill monitoring and assessment, supporting landfill management while minimizing environmental and social impacts. It offers a comprehensive approach to landfill assessment, enhancing the sustainability of waste management practices. Further research can improve the proposed framework by refining feature selection and incorporating real-time data for continuous monitoring. Additionally, exploring the integration of emerging technologies, such as remote sensing and artificial intelligence, can further enhance landfill site monitoring and assessment. Full article

(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)

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10 pages, 245 KiB

Open AccessArticle

Embedding Sustainability Justice in Greek Secondary Curricula through the DeCoRe Plus Methodology

by Georgios Vouzaxakis, Vassilios Makrakis and Nelly Kostoulas-Makrakis

Knowledge 2023, 3(4), 600-609; https://doi.org/10.3390/knowledge3040037 - 17 Oct 2023

Viewed by 1010

Abstract

This paper describes the processes of embedding Sustainability Justice in secondary education curricula for economic courses in Greece applying the DeCoRe plus methodology and participatory action research. These processes resulted in a reconstructed curriculum that was implemented by nine teachers teaching courses in [...] Read more.

This paper describes the processes of embedding Sustainability Justice in secondary education curricula for economic courses in Greece applying the DeCoRe plus methodology and participatory action research. These processes resulted in a reconstructed curriculum that was implemented by nine teachers teaching courses in economics. Sustainability justice emphasizes the ethics and praxis of education for sustainability and requires an understanding of the curriculum as a process and praxis and teaching as an ethical and political praxis. The implementation of the diagnostic evaluation of DeCoRe plus showed that economics teachers in Greece select more behavioral than constructive-emancipatory teaching approaches. On the other hand, the implementation of the reconstructed curriculum units in their courses using the DeCoRe plus methodology revealed a shift from instructive to constructivist and emancipatory teaching and learning approaches. Teachers by the great majority declared the political and ethical perspective of teaching and seeing curriculum as a living text that can always be under the process of deconstruction, construction, and reconstruction. Full article

43 pages, 2564 KiB

Open AccessArticle

SQMetrics: An Educational Software Quality Assessment Tool for Java

by Dimitrios Sofronas, Dimitrios Margounakis, Maria Rigou, Efthimios Tambouris and Theodore Pachidis

Knowledge 2023, 3(4), 557-599; https://doi.org/10.3390/knowledge3040036 - 29 Sep 2023

Viewed by 2134

Abstract

Over the years, various software quality measurement models have been proposed and used in academia and the software industry to assess the quality of produced code and to obtain guidelines for its improvement. In this article, we describe the design and functionality of [...] Read more.

Over the years, various software quality measurement models have been proposed and used in academia and the software industry to assess the quality of produced code and to obtain guidelines for its improvement. In this article, we describe the design and functionality of SQMetrics, a tool for calculating object-oriented quality metrics for projects written in Java. SQMetrics provides the convenience of measuring small code, mainly covering academic or research needs. In this context, the application can be used by students of software engineering courses to make measurements and comparisons in their projects and gradually increase their quality by improving the calculated metrics. Teachers, on the other hand, can use SQMetrics to evaluate students’ Java projects and grade them in proportion to their quality. The contribution of the proposed tool is three-fold, as it has been: (a) tested for its completeness and functionality by comparing it with widely known similar tools, (b) evaluated for its usability and value as a learning aid by students, and (c) statistically tested for its value as a teachers’ aid assisting in the evaluation of student projects. Our findings verify SQMetrics’ effectiveness in helping software engineering students learn critical concepts and improve the quality of their code, as well as in helping teachers assess the quality of students’ Java projects and make more informed grading decisions. Full article

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14 pages, 843 KiB

Open AccessArticle

New Technology Deployment and Corporate Responsibilities in the Metaverse

by Martin Wynn and Peter Jones

Knowledge 2023, 3(4), 543-556; https://doi.org/10.3390/knowledge3040035 - 27 Sep 2023

Cited by 7 | Viewed by 2388

Abstract

The term “metaverse” came to the fore in 2021 when Facebook rebranded its corporate identity to Meta and signalled its intention to invest at least USD 10 billion in developing the concepts and related products that year. However, there is still little consensus [...] Read more.

The term “metaverse” came to the fore in 2021 when Facebook rebranded its corporate identity to Meta and signalled its intention to invest at least USD 10 billion in developing the concepts and related products that year. However, there is still little consensus in defining what constitutes the metaverse, although there is a widespread, though not universal, agreement that it will bring a wide range of benefits across society. More specifically, the advent and continuing evolution of the metaverse has strategic and operational implications for, and impacts on, industry and business at large. Adopting an inductive, interpretivist approach, this exploratory research article presents case examples of the guidance on the responsible development of the metaverse provided by two IT business services companies. This article identifies the major risks and responsibilities associated with the metaverse and assesses how companies might address these responsibilities. Very little research has been published in this area, and this article attempts to make a small contribution to filling this gap in the literature. This article finds that these responsibilities are largely in line with those currently associated with corporate digital responsibility, and concludes that the strategic impact and extent of regulatory change will depend on the nature of the metaverse that materialises in the forthcoming decade. Full article

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18 pages, 560 KiB

Open AccessArticle

Dialogic and Dialectic Cooperation for Knowledge Creation in IS-Mediated Open Innovation

by Emmanuel Adamides, Nikos Karacapilidis, Konstantinos Konstantinopoulos and Georgios Kournetas

Knowledge 2023, 3(4), 525-542; https://doi.org/10.3390/knowledge3040034 - 26 Sep 2023

Cited by 1 | Viewed by 1158

Abstract

Cooperation is an important aspect of open innovation (OI) facilitated by information and communication technology (ICT). Cooperation may have two distinct forms, namely dialectic or dialogic, and it has already been argued that dialogic cooperation is more appropriate for knowledge creation and innovation. [...] Read more.

Cooperation is an important aspect of open innovation (OI) facilitated by information and communication technology (ICT). Cooperation may have two distinct forms, namely dialectic or dialogic, and it has already been argued that dialogic cooperation is more appropriate for knowledge creation and innovation. In this paper, we test the hypothesis that the choice of the form of cooperation by an organisation, and its implementation in an OI-enabling Information System, are contingent to the organisation’s strategic orientation and competitive and innovation strategies, and it is mediated by the past experience of its OI initiative managers. We also examined, for the first time, which are the antecedents of the adoption of dialogic (and indirectly, dialectic) cooperation in OI initiatives. The empirical research carried out in a sample of senior managers of different sectors in Greece suggests that companies that have extrospective strategic orientations and that adopt differentiation/innovation strategies are more likely to implement dialogic cooperation in their OI endeavors, thus increasing their knowledge creation potential. This choice is further supported by managers who have participated in other organisations’ OI initiatives in the past. Full article

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Knowledge, Volume 3, Issue 4 (December 2023) – 9 articles

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