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Exploring ERP User behaviour in Developing Countries: Integrating Self-efficacy and UTAUT Perspectives 5

Exploring ERP User Behaviour in Developing Countries: Integr...

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5th International conference on Advancement in Data Science, E-Learning and Information Systems, ICADEIS 2023

作者： Syamsuar, Dedy Oktaharisetia, Muhammad Angga Witarsyah, Deden Luthfi, Ahmad Dell, Peter Permana, Yudistira Sira Antoni, Darius Bina Nusantara University School of Information Systems Information Systems Department Indonesia Universitas Bina Darma Program Pasca Sarjana Palembang Indonesia Telkom University School of Industrial Engineering Bandung Indonesia Islamic University of Indonesia Faculty of Industrial Technology Department of Informatics Indonesia Curtin University School of Management and Marketing Faculty of Business and Law Australia Politeknik Sekayu Teknik Informatika Sekayu Indonesia Universitas Indo Global Mandiri Faculty of Computer Science Palembang Indonesia

ISBN: (纸本)9798350303414

ERP stands for enterprise resource planning. It is an information system that is all rolled into one, is very flexible and adaptable, and optimizes business operations while also centralizing all of the company's data. This study aims to empirically investigate the elements that affect users' intention and usage of enterprise resource planning (ERP). This research incorporates self-efficacy into the unified theory of acceptance and use of technology (UTAUT2). A quantitative technique was taken, and as a result, 143 replies that might be used were effectively collected. After that, the information was put through a structural equation modelling partial least square (SEM-PLS) analysis. According to the findings of this research, self-efficacy appears to have a significant influence on all endogenous variables (EE, BI, and UB), as indicated by t-values of 3.951, 7.573, and 5.492, respectively. In addition, the analysis also indicated that PE (4.317), EE (2.397), and HM (3.084) are likewise statistically and substantively significant to BI. The result shows that the R2 for BI and UB indicate a moderate impact of 0.603 and 0.521, respectively. It is suggested that the model has valuable applications in academic and real-world contexts. © 2023 IEEE.

关键词： Enterprise resource planning

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modelling Visual Decision Making Using a Variational Autoencoder 19

Modelling Visual Decision Making Using a Variational Autoenc...

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19th International conference on Cognitive modelling, ICCM 2021 - Co-located with the 54th Annual Meeting of the Society for mathematical Psychology

作者： Malloy, Tyler Sims, Chris R. Department of Cognitive Science 110 8th Street TroyNY12180 United States

ISBN: (纸本)9780998508252

Due to information processing constraints and cognitive limitations, humans necessarily form limited representations of complex visual stimuli when making utility-based decisions. However, it remains unclear what mechanisms humans use to generate representations of visual stimuli that allow them to make predictions of utility. In this paper, we develop a model that seeks to account for the formation of representations in utility-based economic decision making. This model takes the form of a β-variational autoencoder (β-VAE) trained with a novel utility-based learning objective. The proposed model forms representations of visual stimuli that can be used to make utility predictions, and are also constrained in their informational complexity. This representation modelling approach shares common features with related methods, but is unique in its connection to utility in economic decision making. We show through simulation that this approach can account for several phenomena in human economic decision making and learning tasks, including risk-averse behaviour and distortion in the calculation of expected utility. © 2021 International conference on Cognitive modelling

关键词： Decision making

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A Soft Computing Based Approach for Pixel Labelling on 2D Images Using Fine Tuned R-CNN 10th

A Soft Computing Based Approach for Pixel Labelling on 2D ...

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10th International conference on Innovations in Computer Science and engineering, ICICSE 2022

作者： Arappal, Nedumaran Singh, Ajeet Saidulu, D. School of Electrical and Computer Engineering Kombolcha Institute of Technology Wollo University Dessie Ethiopia School of Computer and Information Sciences University of Hyderabad Hyderabad Telangana500034 India Department of Information Technology Guru Nanak Institutions Technical Campus Hyderabad Telangana India

ISBN: (纸本)9789811974540

Nowadays Artificial Intelligence (AI) is an integral component of the core business model of several organisations and a crucial strategic component of many industries’ strategies such as—healthcare, finance, retail education etc. on a global scale. Machine Learning (ML) is a technology to achieve AI. Machine learning methods utilize a variety of statistical, A vast, unstructured, and complicated dataset may be analysed using probabilistic and optimization approaches to learn from the past and find relevant trends. Automated oriented text categorization, network intervention detection, spam email filtering, credit card deceit detection, consumer purchase behaviour detection, and manufacturing process optimization are just a few of the many uses for these algorithms, image categorization, object recognition and disease modelling. Allocating a different class oriented label to every pixel of a particular image is certainly one of the significant steps in constructing complex automated systems like driver-less vehicles/drones, human-friendly oriented robotic machines, robot-assisted medical procedure, and savvy military systems. Pixel labeling’s computational purpose is to give each individual pixel in an imagery a class label. It is critical long-range (pixel) label dependencies in a model must be captured pictures to provide strong visual coherence and high class accuracy. This may be accomplished in a feed-forward architecture by considering a suitably big input to the context patch surrounding each individual pixel to be labelled. We present a strategy in this chapter that consists of an ideally finetuned recurrent convolutional neural network that mainly allows us to incorporate a broad input context without restricting the model’s capacity. Our solution does not rely on any such segmentation techniques or task-specific characteristics, in contrast to the majority of the conventional methods. The system is trained on raw pixels from beginning to end, and it models

关键词： Pixels

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A mathematical optimization model for secondary settler 3

A mathematical optimization model for secondary settler

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3rd International Virtual Vonference of Chemistry, IVCC 2021

作者： Bakiri, Zahir Department of Chemical Engineering Ferhat Abbas University of Setif-1 19000 Algeria Department of Chemical Engineering Salah Boubnider Constantine 3 University Constantine Algeria

The study of secondary settler modelling, which aims to establish the main model (one-dimensional-1D model), which is involved in some fundamental processes of the hydrodynamic behaviour of this liquid / solid separation unit and to engender variations of the sludge blanket height as a function of the operating parameters and maintaining of the municipal wastewater treatment plant of Setif. The objective of this research is focused on solid/liquid separation in the secondary settler by attempting a mathematical model that allows us to evaluate the sedimentation velocity as a function of the sludge settleability parameters. © 2021 Institute of Physics Publishing. All rights reserved.

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Enhanced Statistical Shape Model: A Statistical-Based Tool to design Custom Orthopaedic Devices 2nd

Enhanced Statistical Shape Model: A Statistical-Based Tool t...

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2nd International conference on Design Tools and Methods in Industrial engineering (ADM)

作者： Marzola, Antonio Francesco, Buonamici B. Guariento, Lorenzo Governi, Lapo Univ Florence Dept Ind Engn Via S Marta 3 I-50139 Florence Italy

ISBN: (纸本)9783030912345;9783030912338

Dealing with the design of personalized medical devices, mass production is not an option that can be hypothesized. Indeed, a cumbersome production process must be considered in such cases, mainly to account for a delicate design phase that needs to take into consideration, as input, an anatomy that vary each time. This article discusses the development of a statistical tool able to support the design of patient-specific devices. By expanding the classical formulation of the Statistical Shape Model (SSM) with the introduction of multiple levels of information within the same model, the authors have experimented with the concept of an "enhanced SSM". While the traditional SSM only provides information on the variations that a class of shapes can manifest, the eSSM may include more levels of information. The article discusses two possible mathematical formulations of such statistical tool. Its application to the design of custom-made pelvic implants is discussed. Such application scenario is described starting from the generation of the eSSM for the pelvis. The features of interest considered in this paper are the centers of the acetabular regions of the pelvis, the segmentation of the anatomy in a series of semantical regions that must be considered when developing a loadbearing implant. Finally, the conclusions of this research are drawn and discussed together with possible future development of eSSMs.

关键词： Statistical shape analysis SSM Biomedical engineering Pelvis human modelling Custom implant design

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Capturing mathematical and human perceptions of shape and form through machine learning 23

Capturing mathematical and human perceptions of shape and fo...

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23rd International conference on engineering Design, ICED 2021

作者： Gopsill, James Goudswaard, Mark Jones, David Hicks, Ben Design Manufacturing Futures Lab School of Civil Aerospace and Mechanical Engineering University of Bristol United Kingdom Centre for Modelling and Simulation Bristol United Kingdom

Classifying shape and form is a core feature of engineering Design and one that we do this instinctively on a daily basis. Matching similar components to then reduce unique component counts, determining whether a competitors design infringes on copyright and receiving market feedback on product styling are all examples where shape and form comes into play. However, shape and form can be perceived in different ways from purely mathematical (e.g. shape grammars) to wholly subjective (e.g. market feedback) and these perceptions may not entirely agree. This paper examines the mathematical and human perceptions of shape and form through a study of classifying shapes that have been interpolated between one another, and in doing so, highlights the disparity in perceptions. Following this, the paper demonstrates how the emergent field of Machine Learning can be applied to capture mathematical and human perceptions of shape and form resulting in a means to twin this feedback into product development. © ICED *** right reserved.

关键词： Machine learning

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An Improved Dual Quaternion-based Dynamic Movement Primitives Formulation for Obstacle Avoidance Kinematics in human- Robot Collaboration System of Systems

An Improved Dual Quaternion-based Dynamic Movement Primitive...

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IEEE International conference on System of Systems engineering (SoSE)

作者： Freddy Liendo Alessandro Bozzi Camilo Hernández Christine Galez Roberto Sacile José Jiménez Laboratory System And Materials For Mechatronics (SYMME) Université Savoie Mont Blanc Annecy France Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) University of Genoa Genoa Italy

In the context of human-Robot Collaboration (HRC) as System of Systems (SoS), motion planning and learning are a highly important subsystem. Dynamic Movement Primitives (DMP) are an elegant and efficient method for learning complex behaviours and representing them as stable, well understood dynamical systems. When applied for encoding a task by considering the behaviour of the end-effector of a robotic manipulator in Cartesian space, the common solution is to represent and to encode the pose separately as position and orientation using different but phase-coupled DMP formulations; resulting mathematically and algorithmically inefficient. Dual Quaternions are a mathematical tool capable of representing pose in a unified variable. Literature shows the interest of such a representation for rigid body kinematics, given its mathematical flexibility, efficiency and robustness. This article presents an existing formulation for Dual Quaternion Dynamic Movement Primitives based on screw theory. Then, we expand on our proposed improved formulation which considers obstacle avoidance as a contribution for the layer of Awareness and Intelligence in the context of human-Robot Collaboration as a System of Systems.

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Use of recorded video to enhance students' learning in measurement units

Use of recorded video to enhance students' learning in measu...

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2023 International conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Low, Wai Wah Wong, Kwong Soon Wong, Shi Yee Chen, Tay Ai Curtin University Malaysia Department of Built Environment Sarawak Miri Malaysia Curtin Univeristy Malaysia Department of Civil and Construction Engineering Sarawak Miri Malaysia University of Technology Sarawak Department of Quantity Surveying Sarawak Sibu Malaysia

ISBN: (纸本)9798350310689

Measurement is an important skill that need to master by all the undergraduate students that enroll into construction-related degree programmes. The disciplines of the degree programmes that need to learn this skill include civil engineering, building surveying, construction management and quantity surveying. Measurement is one of the core streams in the quantity surveying degree programme. To master this skill, students are only need to have a good mathematical skill to compute the quantities. They are required to have a good basic construction technology knowledge to assist them to describe a construction item as well as good visualization when interpreting the drawings. At the higher educational institutions, measurement units are delivered in the face-to-face approach at the measurement studio. However, the existing delivery method may not able to enhance learning experience of younger generations which is known as Generation Z. They are digital savvy and prefer flexible learning but have shorter attention span compare to older generations. Limited studies are focused on the way to improve new generation's understanding in this specialized skill. The research aim of this study is to explore the effectiveness of recording videos and feedback system in the measurement units. A questionnaire was distributed to the undergraduates who are taking a quantity surveying degree programme in a private university. A response rate of 39% have been achieved in this study. This study found that students generally feel that recorded video can improve their learning in measurement knowledge especially in respect of convenience, confidence, academic performance, satisfaction and motivation. Students also feel the importance of feedback in enhancing their learning in measurement. In conclusion, this study suggests the use of diverse teaching methods to enhance learning of new generations. Building Information modelling (BIM) software can be used to enhance students' visualization

关键词： Students

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mathematical modelling of Unglazed Transpired Solar Collectors 10

Mathematical Modelling of Unglazed Transpired Solar Collecto...

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10th International conference on ENERGY and ENVIRONMENT, CIEM 2021

作者： Pop, Octavian G. Berville, Charles Technical University of Cluj-Napoca Dept. of Building Services Engineering Cluj-Napoca Romania CAMBI Research Centre Technical University of Civil Engineering Bucharest Bucharest Romania

ISBN: (纸本)9781665445849

Unglazed transpired solar collectors absorb solar energy in order to generate heated air which can be used for various applications. At this moment it is considered an innovative technology with great potential to reduce CO 2 emissions. The main components of such systems are the metal perforated plate, that is exposed to solar radiation, and the fan for air circulation. The aim of this paper is to present a mathematical model that is capable to accurately predict the thermal behaviour of the solar collector. The model was validated by simulating an experiment available in the literature and by comparing the numerical and measured data. The accuracy of the model was evaluated based on the mean bias error, which for the air temperature predictions within the planum and at the outlet yielded values 1.63% and 1.12%, respectively. The root means square error indicated values of 2.54% and 2.02%, for the temperature predictions in the plenum and at outlet, respectively, which demonstrate the numerical model capability to accurately simulate the thermal behaviour of a real installation. © 2021 IEEE.

关键词： Numerical models

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Measuring and modelling How People Learn How to Plan and How People Adapt Their Planning Strategies to the Structure of the Environment 19

Measuring and Modelling How People Learn How to Plan and How...

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19th International conference on Cognitive modelling, ICCM 2021 - Co-located with the 54th Annual Meeting of the Society for mathematical Psychology

作者： He, Ruiqi Jain, Yash Raj Lieder, Falk Max Planck Institute for Intelligent Systems Tübingen Germany

ISBN: (纸本)9780998508252

Often we find ourselves in unknown situations where we have to make a decision based on reasoning upon experiences. However, it is still unclear how people choose which pieces of information to take into account to achieve well-informed decisions. Answering this question requires an understanding of human metacognitive learning, that is how do people learn how to think. In this study, we focus on a special kind of metacognitive learning, namely how people learn how to plan and how their mechanisms of metacognitive learning adapt the planning strategies to the structures of the environment. We first measured people’s adaptation to different environments via a process-tracing paradigm that externalises planning. Then we introduced and fitted novel metacognitive reinforcement learning algorithms to model the underlying learning mechanisms, which enabled us insights into the learning behaviour. Model-based analysis suggested two sources of maladaptation: no learning and reluctance to explore new alternatives. © 2021 International conference on Cognitive modelling

关键词： Decision making

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