International Journal of Applied Systemic Studies (18 papers in press)
Unit terms Thinking as first stage in modelling and simulating behaviour of technical matter systems
by Gianni Grasso
Abstract: Unit terms thinking is an approach that formalises the technical matter systems and the correlated knowledge in scientific, unitary concepts, as cause-effects variables, involved structure elements, modified inner interconnections, sequenced system states etc. of the objects investigated. Subject covers the knowledge dominion of the Applied Chemistry, Materials Science, Foiod and Agricultural Sciences and Biotechnologies, focused on industrial products.
Unit terms thinking helps to enter in the technical systems structures, extending to their inner of black-boxes the conventional engineering unitary approaches to processes stated at the macroscale. The fundamental concept of property of a technical body, is formally established as unit property based on an array of basic unit terms. For this purpose an analogical behaviour-model of the system is presented, stated on three input/output submodels; two black-box, stated on matter/energy exchanges and information processing; and one white-box, focussed on the inner transformations mechanisms. A fourth hybrid gray-box model allows to draw all current quantitative math models employed in modelling materials technical properties (unit system laws).
Keywords: systemic analysis; knowledge modelling; open systems; critical systems thinking; synthesis.
Understanding How Problem Formulation in Systems Engineering Influences System Affordability: A Systems Thinking Investigation
by Alejandro Salado, Roshanak Nilchiani
Abstract: Systems engineering is promoted as the engineering discipline that facilitates success in the development of large scale systems; yet these continue to significantly fail in all major dimensions: performance, cost, and schedule. Requirements are the cornerstone of this discipline because they often set the boundary conditions on which systems are developed, but their capability to influence system affordability seems questionable. The present research explores current practices of requirements engineering and, using systems thinking, investigates how they influence system affordability. A set of measures is proposed by the authors that would enable an active use of requirements engineering to facilitate the development of affordable systems.
Keywords: Problem formulation; systems engineering; requirements engineering; systems thinking; systemigram; conceptagon; system affordability.
The Design and Implementation of Visualized Agricultural Commodity Futures Techniques Analysis Software
by Xiaojun Cui, Jianyong Chen, Hongyu Xiao
Abstract: The agricultural commodity futures analysis software in the mainstream market can only contribute to qualitative investment, with poor support for quantitative trading, in urgent need of improvement. In view of above-mentioned state, the thesis introduces the visualized agricultural commodity futures techniques analysis software based on .NET platform. The software adopts the WPF framework in VS2015 for development, IronPython for drawing graphics and Windows file system for data storage. The software has such functions as visualized data graphics display, data updating and classification retrieval. Such features of the software as lightweight, the ability to collect a large number of historical data, offline use and the ability to build mathematical models can not only meet the needs of ordinary users, but also bring good news to the professional analysts.
Keywords: Techniques Analysis of Futures; UI Drawing; Iron Python; WPF.
An empirical investigation on competitiveness in electronic commerce performance
by You-Shyang Chen, Jieh-Ren Chang, Huan-Ming Chuang
Abstract: Internet technology development promotes the use of the Internet population surge. When consumers are familiar with online shopping services, service quality requirements will increase. Operating electronic stores (e-store) needs an understanding of the groups of network shopping behavior, and the continuation of optimizing service quality. In this study, the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is used for the three cases data collection and analysis to understand the e-stores in order to improve performance and management. Finally, the results of the VIKOR method suggest no similarity among the various dimensions and criteria of these three e-stores; each has its advantages and disadvantages. Therefore, the managers can determine their customers needs and identify any gaps through this formula. Furthermore, the above findings can help them to develop suitable solutions and achieve ideal levels of aspiration. As such, this research provides a further understanding of the management approach for e-store business.
Keywords: Internet; service quality; performance analysis; online shopping.
Optimization of implement performance of cloud information systems by Delphi-VIKOR
by You-Shyang Chen, Huan-Ming Chuang
Abstract: Cloud customer relationship management (Cloud CRM) has been widely used in the cloud computing environment. Reducing cloud CRM project risks has become an important issue to improve organizational performance. In this study, a research framework is constructed using the Stimulus-Organism-Response framework through Delphi approach, DEMATEL-based ANP (DANP), and VlseKriterijumska Optimize I Kompromisno Resenje (VIKOR) research methods that explore the relationship for project risk, project management, and organizational performance. Using VIKOR to determine cloud CRM project performance by experts, the order was as follows: project management, organizational performance, project risk to improve criterion first, then followed by user risk, user participation, and financial performance.
Keywords: Delphi approach; DEMATEL Based-ANP; cloud computing; project risk management; organizational performance.
Homeless resistance to public policy in Medellin, Colombia: A System Thinking Approach
by Juan Esteban Martinez-Jaramillo, Javier Ruiz-Muñoz, Andres Valencia-Ruiz
Abstract: Homelessness is a social condition that jeopardizes human dignity. Scientific literature to date has shown an increase in the number of homeless inhabiting streets and temporary shelters around the world. Such studies underlie the urge to address the homelessness phenomenon; however, although they highlight the importance of overcoming this social issue, they lack up-to-date data and consensus about measurements to face this matter. Accordingly, the aim of this paper is to deepen the discussion of homelessness using a system thinking analysis. For this purpose, the city of Medellin in Colombia was chosen as a case study. We propose a new dynamic hypothesis based on the economic criminal careers developed in the literature. We use a causal-descriptive model that serves to illustrate the reasons for resistance to policies among homeless and the pathways that have led these people to reach such a condition. This analysis shows that there are programmes to reduce homelessness in the long-term but are undermined by short-term fixes. We suggest using this systemic analysis to build a simulation model that could be used as a tool for policy makers to assess new social policies focused on addressing homelessness.
Keywords: system thinking; homelessness; public policies; policy resistance; archetypes; poverty; holistic analysis.
Special Issue on: New Trends in Multimedia Data Management Techniques and Applications
A web-based crowdsourcing data application in exploring the effect of collaborative we-intention on adoption of cloud-multimedia drive
by You-Shyang Chen, Jerome Chih-Lung Chou
Abstract: Collective intention, known as we-intention, should play a role in the adoption of cloud services that provide social networking or collaborative functions. Cloud drive is one of the popular cloud services that allow people to store and share files, so that can enhance both individual and group productivity. In modern multimedia data management, crowdsourcing and online collaboration are emerging ways of innovation and implementation for projects. Knowing why a group of people adopts a certain cloud-multimedia drive is the purpose of this research. In this research, besides the effect of usability which is the traditional cause of system adoption, the authors explore the effect of we-intention on adoption of cloud-multimedia drive. An eighteen week long experiment was designed for this exploration. The experiment result shows that we-intention is a cause of adoption, but if the effect of usability on adoption is controlled, we-intention seems to have little effect on adoption. Although usability remains the dominant factor, the exploration finds that we-intention can weaken the relationship between usability and adoption. The implication of this research is collective intention might substitute usability to some degree in system adoption, and managers could find ways more of social perspective to help system adoption.
Keywords: collaboration; we-intention; usability; cloud drive; system adoption.
A Near Field Communication-enabled E-Learning Environment for Context-Aware Mobile Japanese Conversation Learning
by Chun-Chia Wang
Abstract: In this study, we utilised near field communication-enabled
smartphones with context-aware technology to propose a context-aware mobile
Japanese conversation learning system (CAMJAL) for Taiwanese students. Our
proposed CAMJAL system was implemented to record students learning
behaviours between peers in a context-aware computing environment. This
system extend perceived convenience as external variable to technology
acceptance model (TAM) to analyse its explanatory power and examine
antecedent factors that affect acceptance of CAMJAL. Participants were 86
university students with advanced Japanese abilities from the northern part of
Taiwan. After conducting CAMJAL with near field communication-enabled
smartphones, data was collected by questionnaires. Our experimental results
revealed that a) perceived convenience, perceived ease of use, and perceived
usefulness were antecedent factors that affect acceptance of CAMJAL; b)
perceived ease of use had a significantly positive effect on perceived
convenience; c) perceived convenience had a significantly positive effect on
perceived usefulness; d) perceived ease of use and perceived usefulness had a
significantly positive effect on attitude towards use; and e) perceived ease of
use, perceived usefulness, and attitude towards use had a significantly positive
effect on behaviour intentions to learning. Overall, the extended TAM was
effective in predicting and explaining the acceptance of CAMJAL
Keywords: Context-aware computing; mobile learning; near field
communication; perceived convenience; technology acceptance model.
Modeling Medical Resource Allocation with Multimedia Data on Hyper Aged District in Taiwan
by Kuei Min Wang, Lin Hui
Abstract: Facing the inevitable aging trend, Taiwan has implemented a long term care program (LTC) to meet the demands of families with disabled seniors living at home. However, the medical resources currently provided by the local government and few interested medical facilities, including physicians, nurses and physiotherapists that the shortage can reach 65%, 88% and 95%., has failed to catch up to the demands from the fast elderly growing population. The objective of this paper is to model the relationship of current disabled elderly at home and available. Linear programming is the tool to model the current medical supply and demand issue. The created potential scenario and a multimedia data are used to enhance the reliability of result. A scenario includes three hospitals around the Meinong District in Kaohsiung on Taiwan, in which the medical resources, under the coordinated medical protocol, can be distributed to the disabled seniors. The main problem of the LTC, as identified in this study, is the insufficiency of the current medical resource that provides for the demanders. The physiotherapists and nurses are in serious shortage. The study has determined the optimal solution of medical resource allocation (physician, nurse, physiotherapists) to be (15, 27, 22). Seniors under the age of 65 and local home care facilities are excluded from this study.
Keywords: Disabled elderly; Medical resource; Multimedia data; Model; Demand-supply.
The Hybrid Algorithm for Product Design in Multimedia
by Ching-Lien Huang, Yung-Hui Chen, Chun- Hsiung Tseng, Tian-Long John Wan, Mars Shen
Abstract: It is the key successful factors for the electronic manufacturing industry (EMI) that creating and selecting the key parameters in new product development to match customer requirements. Furthermore, decreasing product space and increasing multi-function of product is the new product development goal for electronic product to fit customer requirements. Previous literature focused on the development of customer requirements or in product design. However, the papers are less discussing with both multimedia of customer requirements and product design. Consequently, the Kano and Theory of Inventive Problem Solving (TRIZ) methods are integrated as an algorithm, which is called quality based TRIZ. The algorithm is proposed to solve the product design in multimedia in this paper. Summary, the proposed algorithm can be helpful by creating a product system, reducing the space capacity and enhancing the function in a product design system in this study.
Keywords: Electronic Manufacturing Industry (EMI);Customer requirements;new product development;Product design;Kano;Theory of Inventive Problem Solving (TRIZ);Multimedia.
Image retrieval using a scale-invariant feature transform bag-of-features model with salient object detection
by Yih-Chearng Shiue, Sheng-Hung Lo, Yi-Cheng Tian, Cheng-Wei Lin
Abstract: How to effectively retrieve digital images is a focus of image retrieval research. Developed in the 1990s, content-based image retrieval (CBIR) systems are used to extract low-level visual features. However, semantic gaps exist between these features and high-level semantic concepts. This study proposes an image retrieval solution based on a bag-of-features (BoF) model integrated with scale-invariant feature transform (SIFT) and salient object detection. An image search system based on this image retrieval solution, which used object images as the query image, was subsequently constructed. Overall, the results verify the feasibility of the object-based image retrieval solution. Finally, the enhanced image search method and precision enabled constructing an image search system. The system is expected to improve through the search pattern, as well as improve the accuracy of images search, images search system to make a real attempt to solve the huge amount of data and images search difficult problems arising.
Keywords: image retrieval; content-based image retrieval; scale-invariant feature transform; bag-of-features model; k-means clustering.
Examining the Learning outcomes of Elderly through Multimedia Teaching System in Taiwan
by Sufen Chen
Abstract: The elderly often fear technology products in Taiwan, because the complexity of technology and the lack of information create barriers for the elderly to use technology. The trends of an aging population and digital product advances mean that new technology products can enrich elderly lives, if learning barriers can be overcome. This study utilizes quasi-experimental design and a Multimedia Teaching System (MTS) as an intervention program. Seventy-nine older adults (over 65 years old) participated in this study; 39 older adults belonged to the comparison group, and the other 40 were in the experimental group. Subjects post-test scores were used for evaluating the learning outcome after implementing the intervention program. The study shows that elderly using MTS improved their learning outcomes significantly more than others who did not. The elderly who received both the MTS and played speed-controlled instruction on their own improved more than those only receiving the MTS. This outcome will benefit those who use technology-based learning among the elderly.
Keywords: elderly; multimedia teaching system; human information processing; cognitive load.
The Study on Firm Acceptance of Cloud Service Introduction from the Innovation Diffusion Theory
by Ming-Kuen Chen, Yen-Ling Lin, Wei-Chih Huang
Abstract: This study combines the Technology Acceptance Model and Innovation Diffusion Theory and probes the acceptance of cloud computing services introduced in firms through the use of pre-decision, in-decision and post-decision stages. Based on this framework, the researcher attempts to identify whether the different stages of cloud service introduction will be influenced by cost, security, service continuity/completeness, Perceived Usefulness, Perceived Ease of Use and compatibility. This study treats the information technology industry, in which there is an urgent demand for information applications, as the subject. Using a literature review and expert interviews, a questionnaire scale is constructed, and the researcher then conducts a questionnaire survey. According to the research findings, obtained using the process-oriented Innovation Diffusion Theory and the Technology Acceptance Model, cloud service cost, security and service continuity/completeness will influence the stages of cloud service introduction in the information technology industry.
Keywords: Cloud Service; Technology Acceptance Model; Innovation Diffusion Theory; Decision Making.
A Comparative Study on Machine Classification Model in Lung Cancer Cases Analysis
by Jing Li, Zhisheng Zhao, Yang Liu, Jie Li, Zhiwei Cheng, Xiaozheng Wang
Abstract: Due to the differences of machine classification models in the application of medical data, this paper selected different classification methods to study lung cancer data collected from HIS system with experimental analysis, applying the R language on decision tree algorithm, Bagging algorithm, Adaboost algorithm, Conditions Decision Tree, Random Forests, Naive Bayes, and neural network algorithm for lung cancer data analysis, in order to explore the advantages and disadvantages of each machine classification algorithm. The results confirmed that in lung cancer data research, Naive Bayes, Adaboost algorithm and neural network algorithm have relatively high accuracy, with a good diagnostic performance.
Keywords: Machine classification model; cross validation; Naive Bayes adaboost algorithm; neural network.
A web-scale experience to identify the component impacts of intellectual capital on corporate performance from perspective of multimedia data applications
by Chiung-Lin Chiu, You-Shyang Chen
Abstract: This research employs multiple linear regressions to explore the impacts of intellectual capital on corporate performance of biotechnology and pharmaceutical firms from perspective of multimedia data applications in Taiwan. We divided multimedia data of intellectual capital into four main components: human capital, process capital, innovation capital, and customer capital. The sample includes companies listed in Taiwan Stock Exchange and Taipei Exchange Market for the period 2007 to 2013. The results show that the association between innovation capital and performance is positive. The human capital and process capital partially improve firms performance while customer capital did not significantly improve the accounting performance. The results suggest the role of intellectual capital and innovation capital in enhancing the financial performance of companies in biotechnology and pharmaceutical industry. From the web-scale experience, the finding may serves as valuable information for investors while making investment decisions.
Keywords: Intellectual capital; Corporate performance; Multimedia data; Human capital; Process capital; Innovation capital; Customer capital; Biotechnology and Pharmaceutical Industry; Web-scale experience.
A Framework for Evaluating the Mobile Augmented Reality Systems for Ubiquitous and Interactive Cultural Learning
by Cheng-Wei Chiang, Li-Chieh Chen, Jing-Wei Liu
Abstract: Mobile augmented reality (MAR) is an increasingly popular technology for enhancing how students interact with and learn about the cultural environment and cultural objects in the physical world. In order to ensure successful launch the mobile augment reality of cultural interactive learning tool, it is extremely important to predict the delighted value of design alternatives systematically based on the common language understood by both students and designers. However, the framework for communicating and evaluating such value from interested perspective is not available in the literature. Therefore, the objective of this research is to extract key frameworks of delighted value from interested perspective and develop an effective algorithm to evaluate MAR cultural learning system. These frameworks, name as CARE framework in brief, included communication, association, reflection, and engagement. The perception differences of MAR cultural learning paper prototypes were conducted to verify the validity of CARE framework for comparative studied. The findings of this study demonstrated that CARE framework was effective for solution designing in MAR cultural interactive learning tool.
Keywords: Mobile augmented reality design; Frameworks of delighted value; Cultural Learning; Multimedia Information Systems.
Empirical online big data analysis shopping behavior based on fsQCA approach
by Chun-Hui Wu, Huan-Ming Chuang, Chien-Ku Lin
Abstract: Social media networks flourishing make electronic store (e-store) to become wider variety of multimedia services. In order to provide customers with more high service quality, must understand the key factors of customer shopping behavior, that improve e-store performance by reference. In order to understand impact of business relationship between the customer and the e-store, we use fuzzy set qualitative comparative analysis (fsQCA) method to analyze the framework of the study with empirical data and conclude three directions, as below: (1) The results of fsQCA reveal that situations combining promising positive reliability, responsiveness, assurance, environment quality, delivery quality and outcome quality can lead to a higher level of customer satisfaction and affective commitment. (2) The results exhibit that customers are more willing to purchase again if they experience positive service satisfaction or highly affective commitment. (3) Positive affective commitment supports customer advocacy intention.
Keywords: social media; e-store; multimedia services; service quality; fuzzy set qualitative comparative analysis.
Social media in the Classroom: examine the effects of social influence mechanism on peer learn
by Fang-Ling Lin
Abstract: Social media is popular in college students life. However, there are only a few studies exploring the impact of social media on student relationship, and none of them studied the prevalent of social media by dynamic network analysis. This study developed OpenSlide, a teaching system combining the social function of the SlideShare and the Youtube as an after-school auxiliary learning tool and analyzed the impact of this tool on peer interaction in a classroom by using the advantage of multimedia database management. One of the most widely discussed issue in social network analysis is that both the interaction between individual and network formation comprises two processes: social selection and social influence. This study used the stochastic actor-based model to model the network dynamics of students interact recorded in the system and their face-to-face knowledge discussion networks. Our findings demonstrated that similar social media tools can enhance learning effectiveness, allow knowledge construction across the boundary of class and improve students academic achievement while identifying successful strategies for social media development at an early stage.
Keywords: social network analysis;social Media;stochastic actor-based model;peer learn.