scholarly journals A Multicriteria Decision Model for the Evaluation and Selection of Technologies in a R&D Centre

2019 ◽  
Vol 7 ◽  
pp. 101
Author(s):  
R. Lizarralde ◽  
J. Ganzarain
Keyword(s):  
Development Process ◽  
New Technologies ◽  
Technology Development ◽  
Manufacturing Sector ◽  
Multiple Criteria Decision Making ◽  
Key Factors ◽  
Competitive Strategies ◽  
Transfer Of Technology ◽  
Proposed Model ◽  
Selection Of

<p>R&amp;D Centres play a key role in the technology development process of industries, and therefore in their competitive strategies. They have responsibility in the identification, selection, acquisition, development and transfer of technology. Among these activities, the successful selection of new technologies is becoming a highly critical and complex challenge in the Technology Management Process. The problem of succeeding in the selection of new technologies is, from the methodological side, linked to heterogeneous key factors (technological, economic, human, and organisational). Many approaches deal with it by means of Multiple Criteria Decision Making (MCDM) techniques and tools. Nevertheless, most of the works are related to the selection of technologies in industrial cases and very few works have been found in the bibliography related to R&amp;D Institutions and, in particular, Technological Centres. A model for the evaluation and decision about one or several technologies based on the MIVES (Modelo Integrado de Valor para Evaluaciones de Sostenibilidad) method is proposed. Introducing the motivations for using this method, after a review of the most used MCDM methods, and describing the structure of the model and the preliminary key parameters and relations among them. The proposed model is oriented to it’s application in the manufacturing sector, observing the particularities of the sector in the selection of the critical factors related to technology, R&amp;D Centre and Industry.</p>

scholarly journals Assessment and Selection of Technologies for the Sustainable Development of an R&D Center

2020 ◽  
Vol 12 (23) ◽  
pp. 10087
Author(s):  
Rafael Lizarralde ◽  
Jaione Ganzarain ◽  
Mikel Zubizarreta
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Industrial Applications ◽  
The Sustainable Development ◽  
Industrial Enterprises ◽  
Decision Making Model ◽  
Selection Of

The central role of R&D centers in the advancement of technology within industrial enterprises is undeniable and clearly affects their strategies, their competitiveness and their business sustainability. R&D centers assume responsibility for technology recognition, collection, acquisition, development and transition. Among their activities, the efficient choice of emerging technologies in the Technology Management Process is becoming a real challenge. In such heterogeneous scenarios, Multiple Criteria Decision Making (MCDM) models are commonly proposed as an appropriate decision-making approach. Multiple research works address the selection of particular technologies in industrial applications, but very few references can be found related to research institutions, and R&D centers in particular. Therefore, a decision-making model is provided in this study following the MIVES multi criteria method for the assessment of one or more technologies. The model is then applied to two case studies related to the selection process of new technologies at a Spanish R&D Center specialized in manufacturing.

scholarly journals Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management

2021 ◽  
Vol 13 (22) ◽  
pp. 12890
Author(s):  
Sittiporn Pimsakul ◽  
Premaratne Samaranayake ◽  
Tritos Laosirihongthong
Keyword(s):  
Supply Chain ◽  
System Integration ◽  
Manufacturing Sector ◽  
Multiple Criteria Decision Making ◽  
Relative Importance ◽  
Key Factors ◽  
Enabling Factors ◽  
Resource Based View ◽  
Future Studies ◽  
Comprehensive Literature Review

Several studies have reported on enabling factors of IoT adoption, emphasizing the importance of key factors for successful IoT adoption. However, only a few studies have investigated enabling factors with consideration of a sustainability perspective and no similar study has focused on manufacturing from an emerging economy perspective. The main purpose is to investigate enabling factors of IoT adoption from a sustainability perspective. This study aims to (i) identify and select key enabling factors from a comprehensive literature review, and (ii) prioritize them using a multiple criteria decision-making approach, validated through industry experts’ opinions. The results showed that system integration and IoT infrastructure are the top enabling factors in increasing the overall success of IoT adoption. Furthermore, enabling factors of IoT adoption are directly connected with organizational resources/technological capabilities that support the resource-based view theory. Supply chain managers can use the findings of this study to guide and prioritize IoT adoption, and develop strategies for going forward with IoT settings, using the relative importance of enabling factors and interdependencies among them from the technological and organizational perspectives. To generalize these findings through benchmarking of enabling factors in manufacturing, a broader range of industries within the manufacturing sector should be considered in future studies.

scholarly journals Anticipation Next: System-Sensitive Technology Development and Integration in Work Contexts

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 269
Author(s):  
Sarah Janböcke ◽  
Susanne Zajitschek
Keyword(s):  
Development Process ◽  
New Technologies ◽  
Technology Development ◽  
Social Systems ◽  
Complex Environment ◽  
Research Fields ◽  
Complex Information ◽  
Subject Areas ◽  
Technical Systems ◽  
Work Contexts

When discussing future concerns within socio-technical systems in work contexts, we often find descriptions of missed technology development and integration. The experience of technology that fails whilst being integrated is often rooted in dysfunctional epistemological approaches within the research and development process. Thus, ultimately leading to sustainable technology-distrust in work contexts. This is true for organizations that integrate new technologies and for organizations that invent them. Organizations in which we find failed technology development and integrations are, in their very nature, social systems. Nowadays, those complex social systems act within an even more complex environment. This urges the development of new anticipation methods for technology development and integration. Gathering of and dealing with complex information in the described context is what we call Anticipation Next. This explorative work uses existing literature from the adjoining research fields of system theory, organizational theory, and socio-technical research to combine various concepts. We deliberately aim at a networked way of thinking in scientific contexts and thus combine multidisciplinary subject areas in one paper to present an innovative way to deal with multi-faceted problems in a human-centred way. We end with suggesting a conceptual framework that should be used in the very early stages of technology development and integration in work contexts.

Approximations of pythagorean fuzzy sets over dual universes by soft binary relations

2021 ◽  
pp. 1-17
Author(s):  
Muhammad Asim Bilal ◽  
Muhammad Shabir
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Score Function ◽  
Binary Relations ◽  
Pythagorean Fuzzy Set ◽  
Course Of Action ◽  
Proposed Model ◽  
Accuracy Measure ◽  
Lower And Upper Approximations ◽  
Selection Of

 Yager introduced the Pythagorean Fuzzy Set (PFS) to deal with uncertainty in real-world decision-making problems. Binary relations play an important role in mathematics as well as in information sciences. Soft binary relations give us a parameterized collection of binary relations. In this paper, lower and upper approximations of PFSs based on Soft binary relations are given with respect to the aftersets and with respect to the foresets. Further, two kinds of Pythagorean Fuzzy Topologies induced by Soft reflexive relations are investigated and an accuracy measure of a PFS is provided. Besides, based on the score function and these approximations of PFSs, an algorithm is constructed for ranking and selection of the decision-making alternatives. Although many MCDM (multiple criteria decision making) methods for PFSs have been proposed in previous studies, some of those cannot solve when a person is encountered with a two-sided matching MCDM problem. The proposed method is new in the literature. This newly proposed model solved the problem more accurately. The proposed method focuses on selecting and ranking from a set of feasible alternatives depending on the two-sided matching of attributes and determines a ranking based solution for a problem with conflicting criteria to help the decision-maker in reaching a final course of action.

scholarly journals Estimaton of technology readiness level of tender proposal in terms of methodology TPRL

2020 ◽  
Vol 6 (1-2) ◽  
pp. 88-99
Author(s):  
A. N. Petrov ◽  
A. V. Komarov
Keyword(s):  
Technology Development ◽  
Technology Readiness ◽  
Federal Target Program ◽  
Technological Readiness ◽  
Russian Scientific ◽  
Technology Readiness Level ◽  
Proposed Model ◽  
Readiness Level ◽  
Subsequent Selection ◽  
Selection Of

The article describes a model for assessing the level of technological readiness of projects submitted to the competition for funding, built using the TPRL methodology. The model can be used along with other tools for evaluating competitive applications to increase the accuracy and objectivity of the expert evaluation of competitive projects. Based on the results obtained using the proposed model, ranked lists of participating projects can be compiled for the subsequent selection of winning projects. The developed model for assessing the level of technology development hasbeen tested for projects of the federal target program «Research and Development in Priority Directions for the Development of the Russian Scientific and Technological Complex for 2014-2020».

Radiation Minimisation and Outcome Maximisation in Cardiac Computed Tomograpy

2010 ◽  
Vol 6 (1) ◽  
pp. 15
Author(s):  
James P Earls ◽  
Jonathon A Leipsic ◽  
◽  
Keyword(s):  
Radiation Dose ◽  
Dose Reduction ◽  
New Technologies ◽  
Cardiac Computed Tomography ◽  
Substantial Reduction ◽  
Radiation Doses ◽  
Tube Current ◽  
Prospective Triggering ◽  
Effective Radiation ◽  
Selection Of

Recent reports have raised general awareness that cardiac computed tomography (CT) has the potential for relatively high effective radiation doses. While the actual amount of risk this poses to the patient is controversial, the increasing concern has led to a great deal of research on new CT techniques capable of imaging the heart at substantially lower radiation doses than was available only a few years ago. Methods of dose reduction include optimised selection of user-defined parameters, such as tube current and voltage, as well as use of new technologies, such as prospective triggering and iterative reconstruction. These techniques have each been shown to lead to substantial reduction in radiation dose without loss of diagnostic accuracy. This article will review the most frequently used and widely available methods for radiation dose reduction in cardiac CT and give practical advice on their use and limitations.

Skills vs. Concepts: A Comparison of Practitioners' and Educators' Preferences for Accounting Information Systems Proficiencies

2015 ◽  
Vol 10 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Jack L. Winstead ◽  
Mitchell R. Wenger
Keyword(s):  
Information Systems ◽  
Business Cycles ◽  
New Technologies ◽  
Accounting Information ◽  
Accounting Information Systems ◽  
Public Practice ◽  
Differences Of Opinion ◽  
Accounting Software ◽  
Computer Operation ◽  
Selection Of

ABSTRACT This study investigates whether AIS instructors' selection of topics adequately prepares graduates for the expectations of employers seeking candidates who can adapt to the pace of technological change. As businesses adopt new technologies, stakeholders of the accounting profession must periodically reassess educational needs in the area of accounting information systems (AIS). Because AIS is a field that encompasses a wide variety of conceptual and skill-based topics, the selection of course topics can result in a “gap” between what academics and CPA firms expect from new accountants. Given the variety of topic areas, do academics and CPAs agree on which ones to emphasize, or what levels of proficiency are appropriate for each topic? In this study, academics and accountants, primarily in public practice, completed identical surveys regarding desired levels of proficiencies. The results suggest agreement on desired levels of proficiency regarding computer operation and use of accounting software to complete basic tasks and create reports, while suggesting differences of opinion in six other areas (understanding business cycles in an electronic environment, understanding data-sharing technologies, using XBRL, comprehending business needs and how technology could solve problems, understanding e-commerce, and the basics of safeguarding electronic accounting records). Participants concluded by offering observations about the strengths and weaknesses of newly employed accountants.

Bioluminescent proteins prediction with voting strategy.

2020 ◽  
Vol 15 ◽  
Author(s):  
Shulin Zhao ◽  
Ying Ju ◽  
Xiucai Ye ◽  
Jun Zhang ◽  
Shuguang Han
Keyword(s):  
Amino Acid ◽  
Model Building ◽  
Prediction Method ◽  
Pair Composition ◽  
Proposed Model ◽  
Counting Rules ◽  
Significant Phenomenon ◽  
Voting Strategy ◽  
Improved Accuracy ◽  
Selection Of

Background: Bioluminescence is a unique and significant phenomenon in nature. Bioluminescence is important for the lifecycle of some organisms and is valuable in biomedical research, including for gene expression analysis and bioluminescence imaging technology.In recent years, researchers have identified a number of methods for predicting bioluminescent proteins (BLPs), which have increased in accuracy, but could be further improved. Method: In this paper, we propose a new bioluminescent proteins prediction method based on a voting algorithm. We used four methods of feature extraction based on the amino acid sequence. We extracted 314 dimensional features in total from amino acid composition, physicochemical properties and k-spacer amino acid pair composition. In order to obtain the highest MCC value to establish the optimal prediction model, then used a voting algorithm to build the model.To create the best performing model, we discuss the selection of base classifiers and vote counting rules. Results: Our proposed model achieved 93.4% accuracy, 93.4% sensitivity and 91.7% specificity in the test set, which was better than any other method. We also improved a previous prediction of bioluminescent proteins in three lineages using our model building method, resulting in greatly improved accuracy.

Involving people with dementia and their informal caregivers in the development process of assistive technology: Description and evaluation of a user-centered design (Preprint)

2020 ◽  
Author(s):  
Iris A.G.M. Geerts ◽  
Liselore J.A.E Snaphaan ◽  
Inge M.B. Bongers
Keyword(s):  
Focus Groups ◽  
Assistive Technology ◽  
Field Study ◽  
Development Process ◽  
Technology Development ◽  
Informal Caregivers ◽  
Assistive Technologies ◽  
User Centered Design ◽  
People With Dementia ◽  
User Centered

BACKGROUND Despite the potential value of assistive technology to support people with dementia (PWD) in everyday activities, use of these technologies is still limited. To ensure that assistive technologies better address the specific needs and daily context of PWD and their informal caregivers, it is particularly important to involve them in all different phases of assistive technology development. The literature rarely describes the involvement of PWD throughout the development process of assistive technologies, which makes it difficult to further reflect on and improve active involvement of PWD. OBJECTIVE This two-part study aimed to gather insights on the user-centered design (UCD) applied in the development process of the alpha prototype of the serious game PLAYTIME by describing the methods and procedures of the UCD as well as evaluating the UCD from the perspective of all involved stakeholders. METHODS The first three phases of the user-driven Living Lab of Innovate Dementia 2.0 were applied to directly involve PWD and their informal caregivers through qualitative research methods, including focus groups and a context-field study, in the development of the alpha prototype of PLAYTIME from exploration to design to testing. After the testing phase, a total number of 18 semi-structured interviews were conducted with PWD, their informal caregivers and the project members of PLAYTIME to evaluate the applied UCD from the perspective of all involved stakeholders. The interviews addressed five of the principles for successful UCD and the appropriateness of the different methods used in the focus groups and context-field study. RESULTS Results of the interviews focused, amongst others, on the level of involvement of PWD and their informal caregivers in the development process, the input provided by PWD and their informal caregivers, the value of early prototyping, continuous iterations of design solutions and in-context testing, the role of dementia care professionals in the multidisciplinary project team, and the appropriateness of open- and closed-ended questions for obtaining input from PWD and their informal caregivers. CONCLUSIONS The description and evaluation of the UCD applied in the development process of the alpha prototype of PLAYTIME resulted in several insights on the relevance of UCD for all involved stakeholders as well as how PWD can be involved in the subsequent phases of usable and meaningful assistive technology development.

scholarly journals Catalogue of hazards: a fundamental part for the safe design of surgical robots

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lukas Theisgen ◽  
Florian Strauch ◽  
Matías de la Fuente ◽  
Klaus Radermacher
Keyword(s):  
Development Process ◽  
New Technologies ◽  
State Of The Art ◽  
Hazard Identification ◽  
Surgical Robots ◽  
Safety Measures ◽  
Fundamental Part ◽  
Phases Of Development ◽  
Early Phases ◽  
Intended Use

AbstractRisk classes defined by MDR and FDA for state-of-the-art surgical robots based on their intended use are not suitable as indicators for their hazard potential. While there is a lack of safety regulation for an increasing degree of automation as well as the degree of invasiveness into the patient’s body, adverse events have increased in the last decade. Thus, an outright identification of hazards as part of the risk analysis over the complete development process and life cycle of a surgical robot is crucial, especially when introducing new technologies. For this reason, we present a comprehensive approach for hazard identification in early phases of development. With this multi-perspective approach, the number of hazards identified can be increased. Furthermore, a generic catalogue of hazards for surgical robots has been established by categorising the results. The catalogue serves as a data pool for risk analyses and holds the potential to reduce hazards through safety measures already in the design process before becoming risks for the patient.

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