Development Of Comprehensive Framework Research Articles

Theoretical and Technological Analysis of Smart Manufacturing Systems

This study presents a comprehensive evaluation of the current status of smart manufacturing systems (SMS), with a specific emphasis on their theoretical significance in the context of technology management and technology development. The paper examines the theoretical underpinnings of development of technology through the lens of Rogers' Diffusion of Innovation (DoI) theory. Additionally, the paper employs Rieck and Dickson's Technology Strategy Model (TSM) to emphasize the importance of technology management. By incorporating the Management of Technology (MOT) theory, the paper aims to provide a comprehensive framework for understanding and shaping technology development. The integration of several technologies inside the SMS system has been the subject of discussion in relation to patenting. The features of Smart Manufacturing Systems (SMS) have been examined in order to analyze the comprehensive components of this emerging technological system. The suggested SMS model of the clothing manufacturing unit has been used to represent the global textile complex. This research incorporates recent scholarly publications and advancements in technology to provide a comprehensive understanding of future manufacturing system views. The objective is to minimize human involvement and enhance production efficiency within the manufacturing business. The primary components of the SMS have been identified as the cyber-physical system, artificial intelligence (AI), digital twin, enterprise resource planning, additive manufacturing, and big data.

Simcrafting: A comprehensive framework for scenario development for simulation.

Simulation can be an excellent teaching and learning method if the scenarios are created appropriately. It starts with assessing the learner's needs and is followed by laying down objectives embracing the SMART principles. While creating a scenario, it is essential to consider the different aspects of realism, such as physical, contextual and psychological aspects. Using moulages and props helps in creating physical realism. The simulation expert should also be aware of the learner's experience and decide the SimZones for their learners based on their level of clinical expertise. The scenario progression needs to be laid down in stages. The role of the embedded participant needs to be decided a priori, and the embedded participant should be well-versed in their role. Pilot testing is a crucial step in simulation development as it keeps the simulation expert aware of the loopholes in the simulation scenario before running.

A Comprehensive Framework for Community-based Development Planning

A Comprehensive Framework for Community-based Development Planning

Measuring Behaviors for Assessing Design Expertise: A Comprehensive Framework for Professional Development

Increasing attention has been paid to understanding expert design behavior to help novice students enhance their knowledge and abilities for their professional development. However, an integrative framework must still be created to identify expert-based design behavior. Using an international web-based survey, this study identifies major expert design behaviors, and reports on the development of a unique behavioral multiple scale that measures central behaviors in the design process for assessing design expertise. Considering theoretically grounded behaviors of experts in the design literature, a 29-item scale is formulated for capturing key expert design behaviors based on exploratory factor analysis. Evidence for construct validity and reliability is presented, suggesting seven primary expert diversified behaviors in the design process. Nevertheless, using a structural equation modeling, it is concluded that the behavioral multiple scale represents only six significant behaviors of design expertise. Moreover, a path analysis of this comprehensive framework shows that some behaviors are central, directly related to design expertise (i.e., strategic approach to design complexity and framing of design problems), and act as mediators for other behaviors (i.e., reflection on design problems and solutions, systematically breaking the design into sub-problems, application of conceptual thinking, and reuse of previous solutions). Findings can be implemented by intervention programs in the design studio aiming to support professional development in design education by training students to enhance their expertise.

Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions

The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most serious negative impacts is the shortage of critical medical supplies. Manufacturing firms faced pressure from governments to use their manufacturing capacity to repurpose their production for meeting the critical demand for necessary products. For this purpose, recent advancements in technology and artificial intelligence (AI) could act as response solutions to conquer the threats linked with repurposing manufacturing (RM). The study’s purpose is to investigate the significance of AI in RM through a systematic literature review (SLR). This study gathered around 453 articles from the SCOPUS database in the selected research field. Structural Topic Modelling (STM) was utilised to generate emerging research themes from the selected documents on AI in RM. In addition, to study the research trends in the field of AI in RM, a bibliometric analysis was undertaken using the R-package. The findings of the study showed that there is a vast scope for research in this area as the yearly global production of articles in this field is limited. However, it is an evolving field and many research collaborations were identified. The study proposes a comprehensive research framework and propositions for future research development.

A comprehensive resilience assessment framework for hydrogen energy infrastructure development

In recent years, sustainable development has become a challenge for many societies due to natural or other disruptive events, which have disrupted economic, environmental, and energy infrastructure growth. Developing hydrogen energy infrastructure is crucial for sustainable development because of its numerous benefits over conventional energy sources. However, the complexity of hydrogen energy infrastructure, including production, utilization, and storage stages, requires accounting for potential vulnerabilities. Therefore, resilience needs to be considered along with sustainable development. This paper proposes a decision-making framework to evaluate the resilience of hydrogen energy infrastructure by integrating resilience indicators and sustainability contributing factors. A holistic taxonomy of resilience performance is first developed, followed by a qualitative resilience assessment framework using a novel Intuitionistic fuzzy Weighted Influence Nonlinear Gauge System (IFWINGS). The results highlighted that Regulation and legislation, Government preparation, and Crisis response budget are the most critical resilience indicators in the understudy hydrogen energy infrastructure. A comparative case study demonstrates the practicality, capability, and effectiveness of the proposed approach. The results suggest that the proposed model can be used for resilience assessment in other areas.

Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: A multi-perspective guide

ObjectiveTrust determines the success of Health-Behavior-Change Artificial Intelligence Apps (HBC-AIApp). Developers of such apps need theory-based practical methods that can guide them in achieving such trust. Our study aimed to develop a comprehensive conceptual model and development process that can guide developers how to build HBC-AIApp in order to support trust creation among the app's users. MethodsWe apply a multi-disciplinary approach where medical informatics, human-centered design, and holistic health methods are integrated to address the trust challenge in HBC-AIApps. The integration extends a conceptual model of trust in AI developed by Jermutus et al., whose properties guide the extension of the IDEAS (integrate, design, assess, and share) HBC-App development process. ResultsThe HBC-AIApp framework consists of three main blocks: (1) system development methods that study the users' complex reality, hence, their perceptions, needs, goals and environment; (2) mediators and other stakeholders who are important for developing and operating the HBC-AIApp, boundary objects that examine users' activities via the HBC-AIApp; and (3) the HBC-AIApp's structural components, AI logic, and physical implementation. These blocks come together to provide the extended conceptual model of trust in HBC-AIApps and the extended IDEAS process. DiscussionThe developed HBC-AIApp framework drew from our own experience in developing trust in HBC-AIApp. Further research will focus on studying the application of the proposed comprehensive HBC-AIApp development framework and whether applying it supports trust creation in such apps.

Theoretical and Technological Analysis of Smart Manufacturing Systems

This study presents a comprehensive evaluation of the current status of smart manufacturing systems (SMS), with a specific emphasis on their theoretical significance in the context of technology management and technology development. The paper examines the theoretical underpinnings of development of technology through the lens of Rogers' Diffusion of Innovation (DoI) theory. Additionally, the paper employs Rieck and Dickson's Technology Strategy Model (TSM) to emphasize the importance of technology management. By incorporating the Management of Technology (MOT) theory, the paper aims to provide a comprehensive framework for understanding and shaping technology development. The integration of several technologies inside the SMS system has been the subject of discussion in relation to patenting. The features of Smart Manufacturing Systems (SMS) have been examined in order to analyze the comprehensive components of this emerging technological system. The suggested SMS model of the clothing manufacturing unit has been used to represent the global textile complex. This research incorporates recent scholarly publications and advancements in technology to provide a comprehensive understanding of future manufacturing system views. The objective is to minimize human involvement and enhance production efficiency within the manufacturing business. The primary components of the SMS have been identified as the cyber-physical system, artificial intelligence (AI), digital twin, enterprise resource planning, additive manufacturing, and big data.

From Participatory Governance to Collaborative Governance for Disaster-Tourism

This article aims to explain the need for changing the model from participatory governance to collaborative governance in disaster tourism management. This research utilized a descriptive qualitative approach. The findings revealed that sustainable tourism development is crucial and must receive careful attention within a comprehensive national development framework. In the current era, the government cannot carry out tourism development independently given the limited capacity and provide sufficient space for increasingly active private and public participation. Sustainable tourism development can be performed through a collaborative governance model involving various stakeholders. The development of a collaborative model can be conducted through the comprehensive participation stage of non-government stakeholders. With maximum participation, there will be a solid network to create partnerships as the final form of collaboration.

A Comprehensive Assessment of Sustainable Development of Urbanization in Hainan Island Using Remote Sensing Products and Statistical Data

In the “2030 Agenda for Sustainable Development” proposed by the United Nations, there are several Sustainable Development Goals (SDGs) related to the sustainable development of urbanization. Therefore, this paper combines remote sensing products and statistics data; uses the entropy weight method to construct a comprehensive assessment framework for the sustainable development of urbanization in Hainan Island based on 11 SDGs; and conducts a spatial and temporal analysis of Hainan Island from 2011 to 2020. The assessment scores of the study area are distributed spatially in a pattern that scores high in the north and south and low in the middle and west. In terms of SDGs’ progress, each region faces its own challenges and needs to develop under its own status. For Wuzhishan City and Ding’an County, which scored low in the assessment, newly increased fixed assets, per capita public green areas and the rate of science and technology expenditures to local government expenditures are the main factors affecting the assessment scores.

The EU AI Act: A Comprehensive Regulatory Framework for Ethical AI Development

The EU AI Act: A Comprehensive Regulatory Framework for Ethical AI Development

Identifying and Selecting Appropriate Strategies for Integrating Green Management into the Structure of Razi University: A Mixed Sequential Exploratory Study

The purpose of this study was to identify and select appropriate strategies for integrating green management (GM) activities in to the structure of Razi University using a mixed sequential exploratory method. Using critical case sampling method, 32 individuals were selected as statistical sample in qualitative phase of the research. The main technique in this phase was three-level coding process (open, axial, and selective coding) alongside “Content Validity Ratio” for refining identified codes. The final output of this section was to identify the most important strengths, weaknesses, opportunities and threats ahead of the university to integrate GM in its structure. In the quantitative phase, the comprehensive framework of strategy development was used. A total of 250 staff and faculty members were selected using Cochran's formula and random stratified sampling method as a statistical sample in the quantitative phase (N = 965). The data collection tool was a researcher-made questionnaire (extracted from qualitative phase) which its validity and reliability were confirmed using “Content Validity Ratio” (CVR≥ 0.54) and “Cronbach's alpha coefficient” (α≥ 0.84). According to the steps of the “comprehensive strategy development framework”, after determining the strategic position of Razi University, eight strategies were identified for integrated GM in to the university operations. Hierarchical matrix wased used to idntify the best strategies for integrating GM in to Razi university straucturs according to criterions of time and cost, feasibility, compose operations, and educational and research programs. Findings showed that strategies of joining or membership of the university in one of the global green university evaluation systems and technology change are the most sensitive to GM; And by applying them, more tangible results can be achieved in the field of GM development in the university.

FELDA LANDS DEVELOPMENT BASED ON SUSTAINABILITY AND HIGHEST-BEST USE APPROACH: HOW TO GO ABOUT IT?

Rural catalysts, specifically Malaysia’s Federation Land Development Authority (FELDA) settlement schemes promise a higher future return growth and become sustainable and resilient areas. FELDA, through the implementation of a Smart Plantation Management System (SPMS), has recently moved toward modern agricultural practices to increase productivity and optimise profits for the livelihoods of its settlers. This paper attempts to discover the FELDA lands development framework based on sustainability and the highest-best use (SHBU) concept as a missing link approach to SPMS. The idea is to oversee the potential of FELDA lands, not only for crops but also for other potential possible developments comprehensively. Analyses were based on literature review, contents analysis of relevant national development policies and FELDA’s Kertas Putih and preliminary works based on a focus group discussion (FGD). In the end, this paper offers a comprehensive FELDA lands development framework, which is timely in coping with the current issues and future potential development crop lands and FELDA settlements, with the aim to bring profits and prosperity to its settlers and all nations.

Dynamic Linkage between Aging, Mechanizations and Carbon Emissions from Agricultural Production.

The trend of aging is intensifying and has become a prominent population phenomenon worldwide. The aging population has an important impact on carbon emissions, but at present, there is little research on its ecological consequences, especially the relationship with agricultural carbon emissions. For a long time, China has been dominated by a scattered small-scale peasant economy. Currently, the aging population also means that the agricultural labor force will gradually become scarce, and the agricultural production will face reform. This article is intended to find the long-term impact of aging and mechanization on agricultural carbon emissions and construct a more comprehensive policy framework for sustainable development, hoping to contribute to environmental and ecological protection. The research sample in this article is from 2000 to 2019, covering 30 provinces (cities, autonomous regions) in China. We adopted methods and models including Fully Modified General Least Squares (FMOLS), Dynamic General Least Squares (DOLS), Panel Vector Autoregression (PVAR) model, etc., and used the Granger causality test to determine the causal relationship between variables. Results show that aging is the Granger cause of agricultural carbon emissions and agricultural mechanization. Agricultural carbon emissions and agricultural mechanization have a bidirectional causal relationship. In the short term, agricultural mechanization and aging both have made a great contribution to carbon dioxide emissions from agricultural production. However, in the long term, the impact of aging on agricultural mechanization is significantly negative. Therefore, it is generally beneficial to improve the environmental problems of agricultural production. Our research focuses on the latest background of population trends and global climate issues and finally provides suggestions and a theoretical basis for the formulation of government agricultural policies according to the research conclusions.

Towards the Development of an Innovative Sustainable Sports Tourism Management Framework for Portugal

Sport tourism assumes an increasingly important role in the world tourism panorama, being seen by several nations as a strategic catalyst for the individual and collective emancipation of territories and their communities. The growing synergy between sports and the tourism sector and its potential as a strategic tourism product for the sustainable development of destinations has long been acknowledged; so much so that it has given rise to the positioning of a highly competitive and complex sector, transcending far beyond the organization of sporting events. In Portugal, Sports Tourism has experienced profound growth over the last decade, now estimated to be worth between 10% and 25% of total international travel and tourism revenues (PwC, 2021). While sports tourism presents valuable opportunities for further destination development and growth driving many positive outcomes in local economies, it can also be viewed as an important factor for the promotion and international recognition of these same territories. As a result, Destination Management Organizations (DMO) and other key stakeholder have begun to place an increased focus on the use of sports to promote and improve Portugal's positioning as a sports tourism destination. This research, while in its early stages, recognises a current gap in knowledge in relation to the development of existing frameworks or strategies implemented and applied by DMO’s or policy makers within destinations to effectively develop and manage a sustainable and competitive sport tourism offering. However, in light of the challenges faced by destinations during the COVID-19 pandemic, it is a necessity that destinations look to develop and plan for sports tourism in a sustainable manner. This research therefore sets forth to contribute to new knowledge in relation to the development of an innovative Sustainable Sports Tourism Management Framework for Portugal with the aim to propose a new comprehensive conceptual framework for the effective sustainable development and management of sports tourism in Portugal.

Impact of Professional Development Programmes on Teachers’ Knowledge and Academic Performance of Senior High School Students in Ghana

To improve educational outcomes through improvements in teaching standards, the Ministry of Education has stepped up efforts aimed at providing continuous and lifelong learning among Ghanaian teachers. However, the impact of the recent emphasis on a comprehensive framework for the professional development of teachers on teaching and learning outcomes has not been adequately studied. Despite the growing body of literature suggesting that professional development and professional knowledge may be associated with student outcomes, these relationships remain an open question. This study, therefore, sought to determine the impact of teachers’ professional development on academic performance in senior high schools in Ghana and the mediating role of teachers’ professional knowledge. A survey was conducted, and valid questionnaires were retrieved from 4,102 teachers in selected public senior high schools from four regions (including 77 districts and 97 public senior high schools) across the Southern, Middle, and Northern belts of Ghana. The results of the study showed that professional development has a significant positive relationship with professional knowledge (γ = 0.26, p < 0.001). Also, professional development and professional knowledge were positively related to academic performance (γ = 0.08, p < 0.001) and (γ = 0.04, p < 0.001) respectively. Finally, the results of the study showed that professional knowledge partially mediated the relationship between professional development and academic performance. The study, therefore, concluded that professional development leads to improvements in the academic performance of students through improvements in teachers’ professional knowledge and other characteristics of teachers that were not accounted for by this study. Among other things, the study recommends that teachers should be encouraged to engage in diverse professional development activities that respond to the inadequacies in their professional competencies.

Real-world and bottom-up methodology for emission inventory development and scenario design in medium-sized cities

Efficient management of air quality requires a comprehensive emission inventory to support decision-making on air quality improvement. This article presents a comprehensive framework for detailed emission inventory development in cities with low-quality basic data, which examines the emission of primary criteria pollutants (CO, NOx, SO2, PM2.5, PM10, and VOC) from mobile sources, residential, commercial, and public services, fuel stations, transport terminals, energy conversion sections, and industries. This research was applied to Tabriz in Northwest Iran, one of the polluted medium-sized cities with a population of 1.77 million. Results show the city daily emission per capita is 569.8 g of CO, 68.6 g of NOx, 38.6 g of VOC, 17.6 g of SOx, and 3.7 g of PM. Vehicular emissions accounted for 98% of CO, 91% of VOCs, 61% of NOx, and 56% of PM; meaning alternative policy strategies in vehicles would reduce emissions rapidly. Fifteen applicable and effective scenarios in transport and one concerning stationary sources were proposed and reduction potential of them was evaluated. Effectiveness of the public transport improvement and replacement of old passenger cars were founded the key scenarios. These two alternatives decrease 14 and 2 tons of SO2 and 6797 and 2394 tons of NOx annually with the cost of $99.5 MM and $366.5 MM, respectively. The findings of this study provides the choice of travel method by each citizen is a function of cost, speed, comfort and safety of travel; therefore, all the requirements of any scenarios must be fully considered in the implementation step.

A Comprehensive Framework for the Modular Development of Condition Monitoring Systems for a Continuous Dry Granulation Line

The development of condition monitoring systems often follows a modular scheme where some systems are already embedded in certain equipment by their manufacturers, and some are distributed across various equipment and instruments. This work introduces a framework for guiding the modular development of monitoring systems and integrating them into a comprehensive model that can handle uncertainty of predictions from the constituent modules. Furthermore, this framework improves the robustness of the modular condition monitoring systems as it provides a methodology for maintaining quality assurance and preventing unnecessary shutdowns in the event of some modules going off-line due to condition-based maintenance interventions.

Science Teachers’ Level of Technological Knowledge and the Effect of Demographic Variables in Ondo State, Nigeria

This study examines the level of Ondo State science teachers’ Technological Knowledge (TK) and the effect of demographic variables such as school geographical location and gender, with a view to bring about effective teaching of science concept through integration of technology. This study is based on survey research design. The population comprised all science teachers in public secondary schools in Ondo State. Data was collected from 628 science teachers across the three senatorial districts in the State. The instrument used was technological knowledge questionnaire and a reliability coefficient r = (0.93) was obtained using Cronbach Alpha. Two research hypotheses and one question were posed to guide the study. Findings from this study revealed that 66.9% of science teachers in Ondo State have low level of TK, a significant difference between the TK of rural and urban teachers and no significant difference between the TK usage between female and male teachers. It is recommended that government should develop a comprehensive framework for professional development that will assist teachers to develop skills to teach in the 21st century environment.

Artificial virtuous agents: from theory to machine implementation

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments.