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International Journal of Applied Systemic Studies

International Journal of Applied Systemic Studies (IJASS)

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International Journal of Applied Systemic Studies (22 papers in press)

Regular Issues

  • An approach to evaluate service quality in polytechnic education institutes (PEIs): A case study   Order a copy of this article
    by Pramod Kinker, Rajeev Jain, Amit Raj Singh, Rakshit Kumar Singh 
    Abstract: The aims of the study are to identify and evaluate the quality of service perceived by students and teachers. Hypothesis have been formulated and tested to examine for service quality gaps in of polytechnic education institutes (PEIs) of Madhya Pradesh, India. A Kano methodology has been used to prioritise service quality factors. The SERVQUAL method has been used to identify the gap between service rendered and service as perceived by students and teachers. The hypothesis has been evaluated using statistical tools. It has been reported that there is significant difference between rendered service quality and expectations of students. There is a need of improvement in service quality factors such as academic excellence, library, infrastructure, career counselling, etc. Further, curriculum structure, physical entities, assessment, feedback and reward need to be improved to encourage more enrolment. The study may help in polytechnic education planners, policy makers, practitioners managers and administrators to improve the service quality in PEIs. The proposed study incorporates the expectations of students and teachers for improvement in service quality in PEIs.
    Keywords: polytechnic education institutes; PEIs; service quality factors; Kano model; SERVQUAL; hypothesis testing.
    DOI: 10.1504/IJASS.2021.10037273
     
  • Biomedical Signal Processing For Health Monitoring Applications: A Review   Order a copy of this article
    by Shilpa Sonawani, Kailas Patil, Prabhu Natarajan 
    Abstract: Biomedical health monitoring systems are evolving rapidly and using non-invasive and cost effective sensors. These systems can monitor physiological parameters of the body to monitor health conditions and provide feedback. These new generation systems can use advance technologies to build intelligent systems for health monitoring and timely diseases detection and diagnosis. Biomedical signal processing and analysis of the patterns in the signals plays important role in building efficient systems, life sciences and research and is rapidly expanding in this domain. This review paper is significant as no existing review paper is giving complete information on biomedical signal processing phases as a whole. It makes four contributions; first, it gives activity flow for developing biomedical signal processing systems. Second, reviews various recent applications researched and kinds of low cost, non-invasive sensors used for biomedical health monitoring. Third, categorisation and enlisting of signal processing techniques like signal sampling, segmentation, filtering, feature extraction, dimensionality reduction and machine learning techniques in healthcare domain. Fourth, it reviews challenges in using signal processing techniques and gives future perspectives which can be helpful for the researchers to use advance techniques to build intelligent systems for reliable decision making.
    Keywords: biomedical signal processing; signal pre-processing; biologicals signals; review.
    DOI: 10.1504/IJASS.2021.10045116
     
  • Managerial Self-actualization in the Era of Business Intelligence   Order a copy of this article
    by John Thanopoulos, Nikolaos Papazoglou, Despoina Caminis 
    Abstract: The new technological evolution has influenced the global business with the use and application of business intelligence tools that provide information accuracy and conformity to managerial decisions, leading to organisational efficiency and corporate performance. In the global business environment, there is a need of social awareness for the improvement of the human wellbeing. Managers need to create a knowledge base with the purpose to understand the needs of the global society. This paper aims to present literature insights, from both philosophical and IT dimension, proposing initial research undertakings that should enhance our understanding of the new managerial self-actualisation era. Thus, it is argued that corporate performance is a well-balanced combination between technological trends and human values based on the self actualisation continuous managerial decision process.
    Keywords: business intelligence; self-actualisation; corporate performance global managers; decision-making; social intelligence; machine intelligence.
    DOI: 10.1504/IJASS.2021.10046389
     
  • Transmission of COVID-19 through Asymptomatic Individuals   Order a copy of this article
    by Nita Shah, Ankush Suthar, Purvi Pandya 
    Abstract: The rapid emergence of the Coronavirus disease 2019 (COVID-19) has already taken on pandemic proportions, resulting thousands of deaths around the world. In the present manuscript, a mathematical model is proposed to investigate the current outbreak of the COVID-19. The model includes multiple transmission pathways and emphasises the role of asymptomatic and symptomatic infected population in the spread of this disease. To predict upcoming situation and a detail analysis of the spread of COVID-19 outbreak, basic reproduction number is calculated using publicly reported data from three different countries, where outbreak is at pick (USA), initial level (India) and it controlled up to certain level (Japan). Analytical and numerical results of the model indicate that current on-going outbreak of COVID-19 would remain endemic if we do not proceed with extreme vigilance due to the serious risk it poses around the globe.
    Keywords: COVID-19; asymptomatic transmission; mathematical model; basic reproduction number; numerical simulation.
    DOI: 10.1504/IJASS.2021.10039858
     
  • Fault-tolerant control method of fuzzy logic system based on decision tree algorithm
    by Wei Zhao, Feng Gao 
    Abstract: In order to improve the reconstruction effect of fault parameters in fault tolerant control process, a fuzzy logic system fault tolerant control method based on decision tree algorithm is proposed. The linear model of the system is constructed by decision tree algorithm, and the fault model is constructed by adding fault cases. Then the system fault is detected and the influence of different fault parameters on the system is judged. After designing the fault-tolerant controller of the system, the cooperative variable is used to compensate the fault parameters until the output value of the system is restored to the normal condition, so as to complete the fault-tolerant control. Experimental results show that the reconstruction curve of fault current is more consistent with the theoretical value, which proves that the method improves the accuracy of the reconstruction value of fault parameters and makes the system run more stably.
    Keywords: decision tree algorithm; fuzzy logic system; fault tolerant control; cooperative variable; parameter compensation.

  • Fault-tolerant control method of fuzzy logic System based on decision tree algorithm   Order a copy of this article
    by Wei Zhao, Feng Gao 
    Abstract: In order to improve the reconstruction effect of fault parameters in fault tolerant control process, a fuzzy logic system fault tolerant control method based on decision tree algorithm is proposed. The linear model of the system is constructed by decision tree algorithm, and the fault model is constructed by adding fault cases. Then the system fault is detected and the influence of different fault parameters on the system is judged. After designing the fault-tolerant controller of the system, the cooperative variable is used to compensate the fault parameters until the output value of the system is restored to the normal condition, so as to complete the fault-tolerant control. Experimental results show that the reconstruction curve of fault current is more consistent with the theoretical value, which proves that the method improves the accuracy of the reconstruction value of fault parameters and makes the system run more stably.
    Keywords: decision tree algorithm; fuzzy logic system; fault tolerant control; cooperative variable; parameter compensation.
    DOI: 10.1504/IJASS.2021.10047080
     
  • Key barriers in the growth of engineering education in the context of Chhattisgarh state: a Fuzzy Kano and TISM integrated approach   Order a copy of this article
    by NAVEEN JAIN, Prateek Sharma, Bhagwaticharan Patel 
    Abstract: Today, countries depend on knowledge-driven innovation for economic growth which depends on the quality of the engineering education system and management. In India, the All India Council for Technical Education is the flag bearer of planning, formulation, and dissemination of technical education in the country. Since 20122013, there is a drastic decline in admissions in engineering courses across the country. Hence, there is a need to identify the barriers that dominate engineering education and hinder the students from opting for engineering as a career option. The proposed work focuses on determining the key barriers to the growth of technical education in the state of Chhattisgarh by an integrated fuzzy Kano model and total interpretive structural modelling approach. The result of the study will provide deeper insight and a better understanding of the higher engineering scenario in the state and will help decision-makers to take constructive and progressive steps to improve the engineering education scenario.
    Keywords: Kano model; total interpretive structural modelling; TISM; fuzzy Kano; engineering education management; key barriers; interpretive structural modelling; ISM; technical education; critical failure factors; CFFs; reachability matrix; HEI; digraph.
    DOI: 10.1504/IJASS.2023.10047241
     
  • An e-commerce logistics service customer relationship management system based on RFM model   Order a copy of this article
    by Fei Tang 
    Abstract: In order to solve the problems of traditional customer relationship management system of e-commerce logistics service, such as high transmission error, long running time and high packet loss rate, a customer relationship management system of e-commerce logistics service based on RFM model is proposed. This system mainly combines RFM model, dynamically displays all contour states of customer consumption behaviour from three aspects of purchase time, frequency and quantity, and obtains user classification rule table. The experimental results show that the transmission error of this system is 0.15%, the system running time is 0.1 s, and the packet loss rate is about 0.06, which is better than the comparison system and has great research value.
    Keywords: RFM model; e-commerce; logistics service; customer relationship management; CRM.
    DOI: 10.1504/IJASS.2023.10048596
     
  • An enterprise financial data leakage risk prediction based on ARIMA-SVM combination model.   Order a copy of this article
    by Qian Cao 
    Abstract: Aiming at the problems of low prediction accuracy and long prediction time in traditional methods, an enterprise financial data leakage risk prediction method based on ARIMA-SVM combination model is proposed. According to the financial data security risks existing at all levels of the enterprise, build the enterprise financial data leakage risk prediction index system and obtain the prediction indexes, including the two first-class indexes of application security and system security, the second-class indexes such as foreign cooperation security, and the third-class indexes such as the identification of sensitive data. Empirical mode decomposition is used to remove the noise data of prediction index, and the data after noise removal is input into ARIMA-SVM combination model, and the output of the model is the prediction result of data leakage risk. The simulation results show that the prediction accuracy of the proposed method is between 95%~100%, and the prediction time is within 16 s.
    Keywords: ARIMA-SVM combined model; enterprise financial data; risk of leakage; empirical mode decomposition method.
    DOI: 10.1504/IJASS.2023.10048600
     
  • Inventory automation practices and productivity: a study on steel manufacturing firms   Order a copy of this article
    by Rashmi Ranjan Panigrahi, Duryodhan Jena, Padma Charan Mishra 
    Abstract: The purpose of this study is to explore the relationship between inventory automation practices (IAP) and the productivity of steel manufacturing firms. The study also explores the mediation effect of knowledge of IAPs on the relationship between IAP and firms' productivity (FP). Study based on data, collected from 287-key officials of three manufacturing firms of Odisha, India using a structured questionnaire. SPSS and Amos software were used for data analysis. Data were processed through the test of validity and reliability and subsequently, structural equation modelling (SEM) was applied to test the hypotheses. The research findings revealed that IAP has a significant positive impact on the productivity of manufacturing firms. It is also found that knowledge of IAP is partially mediating the above relationship. It will add to the existing body of knowledge and further help practitioners to understand the importance and relationships of inventory automation practices in steel manufacturing firms.
    Keywords: inventory management; steel manufacturing firms; inventory automation practices; firm productivity; structural equation modelling; India.
    DOI: 10.1504/IJASS.2021.10039803
     
  • Cryptocurrencies: from characteristics to behaviours   Order a copy of this article
    by Rui Gonçalves, Leandro Pereira, Renato Lopes Da Costa, Álvaro Dias, Natália Teixeira 
    Abstract: Over the past few years, cryptocurrencies have been increasingly spoken and have become a global phenomenon known. Their high volatility and lack of regulation makes these investments very risky, and even though these coins are often associated with criminal activities, an increase on the number of investors is visible every day. Most of the published studies explain the technology behind cryptocurrencies, however, there was no published study that aims to understand what kind of profile these investors have and what are their motivations or expectations. Based on a questionnaires and interviews presented to the investors, this study concluded that there are two separate investor profiles and also understood what are their motivations and expectations for the future. It was also possible to see what vision regulators, private equities and corporate banking have for this new type of currency and if they consider them as a valid mean of payment.
    Keywords: cryptocurrencies; investors; financial companies; Bitcoin.
    DOI: 10.1504/IJASS.2021.10042290
     
  • Analysis of image forgery detection using convolutional neural network   Order a copy of this article
    by Chiluveru Gnaneshwar, Manish Kumar Singh, Satyendra Singh Yadav, Bunil Kumar Balabantaray 
    Abstract: Prior to the age of cameras, if someone wanted to see/verify any incident or document, then one must go to that place and verify. The fact is that no one ever questions once someone has verified something with their own eyes. Nowadays, with the rapid development of new technologies, one cannot be sure of an image, which one is a copy of the sight or not a sight itself. Such types of verifications are not possible in the current time due to the development of varieties of advanced image editing tools like Corel draw, Photoshop, GIMP, etc. These are low cost and open-source tools for the users and frequently used to make memes on social media websites. This paper presents an image forgery detection using convolutional neural networks (CNNs/ConvNet). The error level analysis (ELA) method is discussed in detail for image forgery detection. The binary decision of CNN-based model helps in declaration of an image aptness for official uses. The CNN model has been trained for the Kaggle dataset and detailed simulations have been carried out to validate the accuracy and precision of the proposed model.
    Keywords: image forgery detection; convolutional neural network; CNN; error level analysis; ELA; machine learning; ML; deep learning; DL.
    DOI: 10.1504/IJASS.2021.10043811
     
  • Key barriers in the growth of engineering education in the context of Chhattisgarh state: a fuzzy Kano and TISM integrated approach   Order a copy of this article
    by Naveen Jain, Prateek Sharma, Bhagwati Charan Patel 
    Abstract: Today, countries depend on knowledge-driven innovation for economic growth which depends on the quality of the engineering education system and management. In India, the All India Council for Technical Education is the flag bearer of planning, formulation, and dissemination of technical education in the country. Since 2012-2013, there is a drastic decline in admissions in engineering courses across the country. Hence, there is a need to identify the barriers that dominate engineering education and that hinder the students from opting for engineering as a career option. The proposed work focuses on determining the key barriers to the growth of technical education in the state of Chhattisgarh by an integrated fuzzy Kano model and total interpretive structural modelling approach. The result of the study will provide deeper insight and a better understanding of the higher engineering scenario in the state and will help decision-makers to take constructive and progressive steps to improve the engineering education scenario.
    Keywords: Kano model; total interpretive structural modelling; TISM; fuzzy Kano; engineering education management; key barriers; interpretive structural modelling; ISM; technical education; critical failure factors; CFFs; reachability matrix; HEI; digraph.
    DOI: 10.1504/IJASS.2021.10048110
     
  • Analysing data from a bunch of transactions (block of a blockchain) can lead to optimisation of business decisions   Order a copy of this article
    by Zoannos M. Nikolaos, Assimakopoulos Nikitas 
    Abstract: Business intelligence (BI) is a technology-driven process for analysing data and presenting reports, which helps managers and executives to make better business decisions. In order to achieve a proper data analysis and an optimised visualisation, a variety of tools, applications and methodologies can be used. Those analytical results consist of the driving force of business decision-making process that is why the methodologies that are going to be used in each case must be chosen carefully. Systems science provides methodologies suitable for data analysis. So, the main purpose of our study is to present to you how the systems thinking and systemic methodologies like DCSYM, systems dynamics, etc., can be applied on blockchain technologies (BT). Also, through the different sections of this study we will present a stage of a multi-methodology that we are developing for the systemic management of blockchain technologies.
    Keywords: business intelligence; blockchain technologies; ecosystems; sociotechnical systems; systemic methodologies; systems thinking; decision-making process.
    DOI: 10.1504/IJASS.2022.10048675
     

Special Issue on: 15HSSS Enhancing Systemic Business Intelligence

  • The Value of Formative Evaluation in an Education Program.   Order a copy of this article
    by Dimitris Tsipianitis, Georgios Mandellos 
    Abstract: Evaluation is a process that compares the results with the target, an initial situation with the final one. Evaluate means making an assessment based on some measure or information and referring to some criteria. The Formative evaluation is a process which used by trainers and trainees and provides feedback on updating current teaching and learning methods in order to improve trainers achievement in relation of teaching goals. In this case study a research was carried out using the technic of Formative Evaluation in order to evaluate two thematic areas with the cooperation of the programs leaders. The aim of the study was to extract conclusions and opinions about the programs value, the achievement goals and the organization implementation requirements and how all this results will been feed backed to program managers and policy makers with the appropriate information which are necessary to adopt appropriate corrective interventions for programs quality improvement.
    Keywords: Formative Evaluation; Education; Feedback; Communication; Quality.

  • Systems structuring with DCSYM: Case study of an SME active in media business   Order a copy of this article
    by Lefteris Kakavoulis 
    Abstract: In line with the HSSS conference theme, the subject of this article is the application of the Design and Control Systemic Methodology (DCSYM) in a Small to Medium Enterprise (SME). Using a bottom-up approach, DCSYM can subsume the structural components of a system in a hierarchical list while providing a visualization of the system structure. It can also provide a detailed description of the systems and their subsystems and interactions among individuals, including the channels, the directions, and the types of communication. In conclusion, DCSYM can help improve business performance by simulating the processes, thus enabling the prediction of the companys response to different circumstances.
    Keywords: Systemic; Dynamics; Methodology; DCSYM; SME’s.

  • Employer Branding in the retail industry: a systems approach   Order a copy of this article
    by Vasiliki Messini 
    Abstract: Nowadays, many vital procedures of modern organizations have to be transformed in the view of emerging digital transformation requirements for their development and sustainability. Human Resource departments are among the basic pillars contributing to that transformation with their strategic engagement on the organization\'s decisions with the most efficient short and long-term talent management and acquisition. The adoption of new concepts in the pursuit of business excellence and continuity always contains an inherent complexity proportional to the separate stakeholders taking part in major decisions referring to strategic, tactical, and operational targets. In this paper, we examine, by a systemic point of view, the performance and potential impact of the adoption and implementation of employer branding trends which seems to be an important way for the whole business transformation and superiority.
    Keywords: employer branding; Human Resource Management; system dynamics; DCSYM.

  • Exploring quality models applied to Small and Medium Enterprises (SMEs)   Order a copy of this article
    by George Sainis, Athanasios Kriemadis, Ioanna Thomopoulou 
    Abstract: Quality can be defined as the never-ending improvement of a firms extended process (Goh, 2000). Quality is initially introduced in a company through quality assurance (ISO). It involves the organizations gaining of a third partys approval for the quality system it implements. People, continues improvement, processes and customers are the main elements used by TQM to establish a quality environment (Price and Chen, 1993). The idea to adopt a quality model (MBNQA, EFQM) may be a way to increase a companys value but there are also shortcomings with these models. They are expensive, not considering the real needs of an SME, because they were design for large companies and appeals mainly to those and not to an SME terminology. According to Dandekar et al., (2012) a quality model for an SME should be simple, systematic, easy to understand, outlined and providing a planning tool for its implementation. A model should be applicable to different industries, different cultures and different economic environments. What one should look from a model is to be capable of identifying the TQM components and how these are connected to each other to realize the successful implementation of TQM. As being denoted by Saunders and Preston (2006) a series of models have been developed to examine the level of TQM application, but as they pointed out, all of them were more descriptive, meaning that they were not presenting the logical relationships that exist between each and every different component used in the models. The Joiners model (the triangle-1995) and the Jurans model (the trilogy-1989), the Oaklands overall framework for excellence model, the Demings innovative model, and the ISO 9001:2015 model as well as the Saunders and Preston S-P model are some of the models presented in this paper that have been considered as suitable for all different size of companies and in particular to SMEs. The use of a quality model will give the structure that an ISO certified SME should accomplish. It will identify the spread of TQM applicability that is how wide TQM could be applied to different fractions and environmental factors that a company and an SME need to change. These changes will make them achieve a successful implementation of quality and TQM in particular.
    Keywords: TQM; SMEs; CSF; ISO; Quality; Performance.

  • Implementing the Deming Management Method in Public Administration: A Systemic Approach   Order a copy of this article
    by ANASTASIA SIOUTOU, Thanos Kriemadis, Athanasios Verdis, Antonios Travlos 
    Abstract: William Edwards Deming, as a managerial theorist of Quality Management, captured the essence of his philosophy in 14 points for management, establishing a structured management system for continuous improvement of procedures, products and services, leadership for change, satisfaction of internal and external customers, cooperation with suppliers, empowering human resources, continuous training, encouraging self-improvement and setting the framework of Total Quality Management and other Quali-ty Management systems. The primary purpose of this study was to evaluate to what ex-tent Deming Management Method is being implemented in Greek Public Administra-tion. The findings of this study showed that Deming Management Method is applied to a mediocre extent in Greek Public Administration, and thus, recommendations for fur-ther improvement were introduced.
    Keywords: Quality Management; Deming Management Method; Public Administration.

  • The Architecture of Nonlocal Semantics for Artificial General Intelligence   Order a copy of this article
    by Alexander Raikov 
    Abstract: This paper addresses the issue of providing Artificial Intelligence (AI) models by the nonlocal semantics that reflects non-formalizable and weak formalizable aspects of human consciousness and unconsciousness. Emotions, feelings, thoughts, insights, and transcendental state of mind cannot be formalized. But these aspects have to be taken into account during decision-making and analytical conversations with AI support. Trying to represent the aspects using traditional cognitive architectures, logical ontology, knowledge base, and so on are finishing in a formalized way. The decision of the problem in our opinion can be carried out in an indirect way or taking into consideration the peculiarities of the structures of nonlocal effects in outside spaces such as cosmic spaces and quantum fields. For this, it requires to introduce the concepts of nonlocal cognitive semantics. The paper suggests the approach by which this idea can be implemented during modelling in advanced AI, or Artificial General Intelligence (AGI).
    Keywords: artificial intelligence; chaos; entanglement; cognitive semantics; quantum fields; nonlocal semantics.

  • Organizational resilience through the adaptation of process-aware information systems - A system dynamics approach   Order a copy of this article
    by Panagiotis Papaioannou, Rallis Antoniadis, Nikitas Assimakopoulos 
    Abstract: Organisations, seen as sociotechnical systems, are in close interaction with process-aware information systems, not only in an operational sense but also in terms of resilience. The ability of the latter to adapt to external or internal challenges affects the resilience of the whole organisation. This exploratory study aims at finding the resilience dynamics in such complex systems. To this end, the systemic perspective provides useful insights. Employing the concept of requisite variety, we treat disaster events and business challenges as variety deficiencies that need to be addressed through an adaptation process. System Dynamics provides the means to create models that describe and simulate the resilience dynamics of the whole system. The study concludes that resilience and adaptation are a matter of knowledge leverage, while the simulation model highlights the effect of knowledge leverage in the adaptation process.
    Keywords: Resilience; Process-aware information systems; Sociotechnical Systems; System Dynamics.

  • A Business Intelligent (BI) Connection between Quality and Evaluation methods. Case Study.   Order a copy of this article
    by Georgios Mandellos, Dimitris Tsipianitis 
    Abstract: Information and knowledge represent the fundamental wealth of an organization. Enterprises try to utilize this wealth to gain competitive advantage when making important decisions such as a projects acceptance. An evaluation is performed to define the projects quality level. The BI theories help someone to accept or reject the proposed Quality Management Plan in order to target projects results. But do have all the evaluation methods the same reliability? rnThis paper evaluates the projects quality using the questionnaires method. We will intelligently try to investigate how each questionnaires administration method (paper or online) defines a projects quality giving reliable results. We tried to investigate the quality of the University educational process. The results of the data analyses, shows that the administration method have a significant effect on overall results. Thus, the quality check of a project using questionnaires, needs attentive design, trying to avoid points that introduce uncertainties and are able to spoil the real opinion of the respondents.rn
    Keywords: business intelligence; information technology; people’s opinion; surveys; people’s behavior.