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International Journal of Applied Decision Sciences

International Journal of Applied Decision Sciences (IJADS)

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International Journal of Applied Decision Sciences (37 papers in press)

Regular Issues

  • An EOQ model for non-instantaneous deteriorating items with time dependent quadratic rate, linear holding cost and partial backlogging rate under trade credit policy   Order a copy of this article
    by Babangida Bature, Yakubu Mamman Baraya 
    Abstract: In this article, an EOQ model for non-instantaneous deteriorating items with two phase demand rates, time dependent linear holding cost and shortages under trade credit policy is developed. The demand rate before deterioration begins is assumed to be time dependent quadratic and that after deterioration begins is considered as a constant. Shortages are allowed and partially backlogged. The purpose of this work is to determine the optimal time with positive inventory, cycle length and economic order quantity simultaneously such that total variable cost has minimum value. The necessary and sufficient conditions for the existence and uniqueness of the optimal solutions are presented. Some numerical examples were given to illustrate the model developed. Sensitivity analysis is carried out to see the effect of changes in some model parameters on decision variables and suggestions toward minimising the total variable cost were also given.
    Keywords: non-instantaneous deterioration; time dependent quadratic rate; trade credit policy; linear holding cost; partially backlogged shortages; economic order quantity; EOQ.
    DOI: 10.1504/IJADS.2022.10038670
  • The effects of aesthetics on consumer responses: the moderating effect of gender and perceived price   Order a copy of this article
    by Nguyen Ngoc Hien, Nguyen Ngoc Long, Nguyen Thi Nhu Mai 
    Abstract: This is a study that focuses on assessing how consumers perceive aesthetics, and determines the mechanism by which aesthetics influences consumer responses. To achieve this goal, two studies were conducted. In study 1, group discussions and direct surveys were conducted to develop an aesthetic measurement scale. The results show that the efficient aesthetic scale is a second order factor of 21 items and four components, including colour, design, style and overall appearance. In study 2, a direct interview with a sample of 384 automobile consumers and using partial least squares structural equation modelling techniques to test the hypotheses of this research were carried out. The results show that aesthetics affect brand image, brand evaluation and purchase intention. Furthermore, the relationship between aesthetics and purchase intention has been moderated by the gender. Important implications are proposed for business managers and marketers in developing brands and enhancing purchasing intention via aesthetics.
    Keywords: aesthetics; brand image; brand evaluation; purchase intention; partial least square.
    DOI: 10.1504/IJADS.2022.10040533
  • Optimal matching of urban emergency resources under major public health events by multi-expert decision model of Grey situations   Order a copy of this article
    by Haitao Li 
    Abstract: It is a difficult issue to optimal matching emergency resources among multiple epidemic areas and multiple emergency resources when information is poor, especially in early stage of a major public health event. This article tries to make full use of the experiences and wisdom of experts from various fields, build a multi-expert decision model combined with multi-objective grey situation method, and hope to improve the efficiency and the quality of emergency resources allocation. Firstly taking COVID-19 epidemic as an example to describe the modelling framework; then processing the three common types of uncertain decision information into the type of normalised utility value, putting forward a linear combination algorithm to determine aggregating weights of group decision information; finally giving the implementation steps of the proposed method and presents an application case to illustrate its practical feasibility and effectiveness. This article also contributes to the other public emergencies decision-making.
    Keywords: major public health events; emergency resources matching; grey situation group decision; multiple uncertain preferences; COVID-19 epidemic.
    DOI: 10.1504/IJADS.2022.10040751
  • The Influence of Emotional Intelligence on Technology Adoption and Decision-Making Process   Order a copy of this article
    by Emad Abu-Shanab, Amro AbuShanab 
    Abstract: Emotional intelligence is a vital measure of personality in psychology, where research indicated it has a direct influence on technology adoption. This study assumed that emotional intelligence dimensions would have an influence on personal self-efficacy, which makes it a driver of technology adoption domain. The proposed framework deployed a relational model of emotional intelligence dimensions, and connected it to technology adoption theories. A sample of 268 students filled the survey and used for analysis. Results indicated that self-awareness significantly influenced self-management, social management significantly influenced social skills, and both social management and self-management influenced social skills. In addition, social skills significantly influenced self-efficacy. All four dimensions of emotional intelligence explained 9% of the variance in self-efficacy. Self-efficacy and effort expectancy significantly influenced performance expectancy and explain 29.6% of its variance. Finally, performance expectancy significantly influenced the behavioural intention to use Excel for the decision-making process in the future, and explained 47.8% of its variance. Results supported the model and provided a fair explanation of power. Details, conclusions and future work are reported at the end.
    Keywords: emotional intelligence; decision making; self-efficacy; UTAUT; behavioural intentions; Jordan.
    DOI: 10.1504/IJADS.2022.10041125
    by Cleber Broietti, Suliani Rover, Graça Azevedo 
    Abstract: The objective of this study is to investigate the impact of investor persuasion in an environment of uncertainty. The experimental method was used, with 576 non-professional investors. The experiment used a 2 ? 2 factorial, for this six different scenarios were elaborated with the manipulation of the following variables: environment of uncertainty, characterised by risk and ambiguity; and, the persuasive argument of authority. The analysis technique used was the Binomial Test. The results showed that the investors’ choices are more persuasive in: 1) risky investments than in investments with ambiguity; 2) reports of analysts whose element of authority is present than in reports in which they do not present persuasive elements; 3) environments of uncertainty. The research contributed to the literature on investor behaviour when exposed to ambiguity and risk.
    Keywords: investor behaviour; environment of uncertainty; investor decision; persuasion; ambiguity; risk; authority; binomial test.
    DOI: 10.1504/IJADS.2022.10041549
  • Elucidating Cause-and-Effect Relationships of Components Affecting Talent Absorbing Organizations   Order a copy of this article
    by Mohammad Hakkak, Mohammad Hossein Azadi, Khaled Nawaser, Haniruzila Hanifah, Ali Vafaei-Zadeh 
    Abstract: Organisations are required to identify, recruit, and foster talented individuals in order to optimise their own capacity in achieving business outcomes and build a competitive advantage in the future. The present study aimed at elucidating cause-and-effect relationships of talent absorption components using type-2 fuzzy set extension of the decision-making and trial evaluation (DEMATEL) method in the electronics industry. Following the review of the research literature and surveys of expert opinions, 22 main components in three strategic, retention-related, and organisational dimensions were identified. After developing and distributing the study questionnaire among experts, the cause-and-effect relationships of these components were explained using type-2 fuzzy set extension of the DEMATEL method. The results revealed that the retention-related dimension was the effective one and the strategic and organisational dimensions had been affected.
    Keywords: talent; talent absorbing organisations; Type-2 fuzzy DEMATEL method; electronics industry.
    DOI: 10.1504/IJADS.2022.10041867
  • Extended Strategic Alignment Model (SAM) for Information Systems Governance   Order a copy of this article
    by Khaoula Benmoussa, Majida Laaziri, Mohammed Bennaser, Abdelrhani Bouayad, Ahmed Mouchtachi, Abir El Yamami 
    Abstract: The information systems (IS) of universities are at the heart of changes of various origins: the evolution of the processes they support and the evolution of information technologies (IT). Studies have shown great interest in strategic alignment to the private sector rather than to the public sector especially in universities. Moreover, through a review of the literature, it became apparent that there is no formal model of strategic alignment in universities. Therefore, this paper aims to take an exploratory approach to: 1) understand strategic alignment; 2) evaluate its implementation within universities; 3) adapt its mechanisms by proposing a new model of strategic alignment in universities based on the most widely used model (SAM). The result shows that the implementation of this proposed model can help universities achieve these goals and improve their competitiveness and effectiveness.
    Keywords: strategic alignment model; SAM; IS governance; university strategic alignment; information system; SAM; information technology.
    DOI: 10.1504/IJADS.2022.10041873
  • AOSR: An Agent Oriented Storage and Retrieval WMS planner for SMEs, associated with AOSF framework, under Industry 4.0   Order a copy of this article
    by Fareed Ud Din, David Paul, Frans Henskens, Mark Wallis, Muhammad Adnan Hashmi 
    Abstract: The concept of a smart factory, under Industry 4.0 relies heavily on cyber physical systems (CPS) and intra-enterprise-wide-networks (IWN). Cloud-based implementation is incumbent to accomplish the promises of enterprise integration, automation, seamless information exchange and intelligent self-organisation. Extensive research has been conducted in this domain, however, there is still much research to be done from the perspective of such frameworks in small to medium size enterprises (SMEs). In this context, the agent-oriented smart factory (AOSF) framework provides a generic end-to-end supply chain (SC) model, compliant with CPS and Industry 4.0 standards. In order to support the crucial side of warehouse management, this paper presents AOSF’s recommended agent-oriented storage and retrieval (AOSR) warehouse planner with hybrid logic-based strategy, which yields a smart time-stamped plan to manage product placement and retrieval efficiently. The AOSF-associated AOSR-planner uses the hierarchical task network (HTN) AI planning to ensure different warehouse operations in a timely manner.
    Keywords: smart factory; small to medium size enterprises; SMEs; agent-oriented storage and retrieval system; AOSR; agent-oriented smart factory; AOSF; warehouse management system; WMS.
    DOI: 10.1504/IJADS.2022.10041879
  • Unrelated Parallel Dedicated Machine Scheduling with Sequence Dependent Set-Up Times: An Application in a Textile Company   Order a copy of this article
    by Yonca Erdem Demirtas 
    Abstract: This study deals with a real-life scheduling problem in a textile company that produces hygienic fibres. The addressed problem is a particular case of unrelated parallel dedicated machine scheduling problems with sequence-dependent setup times. The company has two unrelated production lines. Three different types of product families with due dates need to be scheduled onto the lines. The production planning problem is solved by minimising the total tardiness and total sequence-dependent setup costs. Permutation-based solution representation is used and an initial solution is generated via dispatching rules to start searching from a promising point. Powerful single solution-based local search algorithms such as 2-opt, swap, and insertion are used to improve the solution. Finally, the proposed solution technique is developed as a decision support system made available to the company for easy and efficient production planning.
    Keywords: scheduling; unrelated parallel machines; sequence-dependent setup time; local search.
    DOI: 10.1504/IJADS.2022.10041884
  • Flying Journey and the Contemporary Customers Combating Covid-19: The 'Need' of the Hour   Order a copy of this article
    by Riya Gupta, Rachna Agrawal, ARTI GUPTA 
    Abstract: The rising competition of every sector has evolved innovative thinking and application of a more developed version of strategies. However, the emergence of COVID-19 has further amplified the struggles. The intense competition and declining profits of the Indian aviation sector are the major concerns to be discussed. This study focuses on finding the needs and preferences of flyers of the selected well-known companies. Convenience sampling has been used and data is collected from 217 respondents with the help of a structured questionnaire. Exploratory factor analysis (EFA) is used to make 22 variables into six significant factors. These factors are further confirmed with help of confirmatory factor analysis (CFA). The novelty of this study is to propose the realistic ground to guide the struggling aviation sector to achieve the dazzling wave of customers.
    Keywords: aviation industry; customers’ preference; customer expectations; exploratory factor analysis; EFA; confirmatory factor analysis; CFA.
    DOI: 10.1504/IJADS.2022.10042292
  • Preferential Voting in The Presence of Undesirable Voters   Order a copy of this article
    by Mehdi Soltanifar, Hamid Sharafi 
    Abstract: Multi-attribute decision-making (MADM) methods have always been considered by managers as a tool to support decision making. One of the best methods is to select based on expert opinions. In fact, providing models for aggregating the votes of voters in the group decision making is a subject that has always attracted researchers’ attention. We aimed, in this paper, to present a model for aggregating the votes of voters who have been divided by the decision maker (DM) into two groups of desirable and undesirable ones. The proposed model has been explained by presenting its application while a numerical example and case study have also been provided.
    Keywords: preferential voting; undesirable voter; data envelopment analysis; DEA; group decision making; multi-attribute decision making; MADM.
    DOI: 10.1504/IJADS.2022.10042779
  • Strategic Intentions Guided by Individual Values: Evidence from Business Owners   Order a copy of this article
    by Pavel Prokushenkov, Mike Wahl 
    Abstract: This paper aims to research the relationship between business owners’ strategic intentions underlined by attitudes and their basic human values in the form of motivational types. The study focused on business owners’ attitudes towards gaining power opposed to revenue generation, profit withdrawal time horizon, investment in research and development, adherence to ethical standards, and filling a role in society. Unfolding the association between strategically significant attitudes of business owners and their personal values is crucial. This is a cross-sectional survey study using Spearman’s rank correlation analysis. Purposive sampling was conducted to collect data based on the authors’ personal network over a period of five years through a questionnaire among 682 business owners from 39 countries. The results showed that business owners’ strategically significant attitudes related to their intentions can be not only value-expressive and value-ambivalent as found in previous studies, but also value-unmanifested and value-quasi-manifested. The theoretical and practical implication of the paper is that studying the relationship between strategic intentions and individual values applying a normative approach weakens the validity of the findings.
    Keywords: business owners; strategic intentions; attitudes; basic human values; image theory; portrait value questionnaire; PVQ; strategy formation.
    DOI: 10.1504/IJADS.2022.10043045
  • A Novel Data Cluster Algorithm Based on Linear Regression And Residual Analysis for Human Resource Management   Order a copy of this article
    by Hengxiaoyuan Wang 
    Abstract: Human resource management has become an important part of enterprise management. How to select high-quality talents and how to allocate corresponding talents to appropriate works have become an increasingly acute problem. Traditional data cluster methods cannot effectively solve the above problem due to the high-dimensional data. Therefore, we propose a novel data cluster algorithm based on linear regression and residual analysis for Human Resource Management. Improved hybrid entropy weight attribute similarity is adopted for measuring the similarity between objects. The proposed local density calculation method based on k-nearest neighbour (KNN) and Parzen window is used to calculate the density of each object. Then, we utilise the linear regression and residual analysis to select the clustering centre points quickly and automatically, which can eliminate the subjectivity of artificial selection. A new clustering centre objective optimisation model is proposed to determine the real clustering centre. Through theoretical analysis and comparative experiments on artificial data sets and real data sets, it shows that the proposed cluster algorithm can overcome the defects of the original algorithms, and achieve better clustering effect and lower computation time than state-of-the-art methods.
    Keywords: human resource management; data cluster; linear regression; residual analysis; clustering centre objective optimisation model.
    DOI: 10.1504/IJADS.2022.10043205
  • Decision Support System for Feasibility Investment of Virgin Coconut Oil Agroindustry   Order a copy of this article
    by Meilizar Meilizar, Ridha Luthvina, Nurike Oktavia, Putranesia Putranesia 
    Abstract: Agroindustry investment issue arises when the natural dataset and economics analysis is not involved in decision making. Similarly, investment in processing coconut yields into virgin coconut oil (VCO) provides a promising future by applying agriculture 4.0. This paper presents decision support system which provides investment decision toward new VCO agroindustries. The contribution lies in the improvement management system with observed several aspects before the investment is carried out. The approach combines nature dataset and economics analysis. The methods cover spatial analysis, location quotient, capacity production planning, and financial analysis. The result presents four study case of VCO investment in Pariaman districts in West Sumatera Indonesia, which decision about feasibility investment of VCO agroindustry in selected potential area. This DSS application permits the investor to be facilitated with an accurate and fast decision. Although, the DSS requires futures improvement with a fully online application without an overlay process.
    Keywords: decision support system; feasible investment; virgin coconut oil; agroindustry; capacity production planning.
    DOI: 10.1504/IJADS.2022.10043339
  • Performance of Max-HEWMAMS Control Chart for Simultaneous Monitoring of Process Mean and Variability in the Presence of Measurement Errors   Order a copy of this article
    by Maziar Saemian, Mohammad Reza Maleki, Ali Salmasnia 
    Abstract: In recent years, the simultaneous monitoring of the process mean and variability has received increasing attention in statistical process monitoring (SPM). Most of control charts in this context have been carried out under the assumption of no measurement errors. This paper develops the Max-HEWMAMS chart for simultaneous detection of mean and variance shifts when the measurements are imprecise due to the gauge inaccuracy. Multiple measurements approach is employed to reduce the impact of measurement errors on detecting ability of Max-HEWMAMS chart. Extensive simulations are conducted to explore the impact of measurement errors on run length properties of Max-HEWMAMS chart. The results indicate under different out-of-control scenarios including mean, variance, and joint shifts, the measurement error has an undesired impact on detecting efficiency of the Max-HEWMAMS chart. It is also confirmed that taking multiple measurements per item improves the performance of Max-HEWMAMS chart when the observations are contaminated with measurement errors. Finally, the adverse impact of gauge imprecision on sensitivity of the Max-HEWMAMS chart is probed by a real-life data example.
    Keywords: Max-HEWMAMS control chart; measurement errors; multiple measurements approach; simultaneous monitoring; run length.
    DOI: 10.1504/IJADS.2022.10043963
  • The Strategic Impact of Information Systems in Organizations: An Empirical Study   Order a copy of this article
    by Renato Lopes Da Costa, Ana Cunha, Rui Gonçalves, Leandro Ferreira Pereira, Álvaro Dias, Rui Vinhas Da Silva 
    Abstract: In a volatility, uncertainty, complexity, and ambiguity world, having up-to-date information with a high of quality is one of the main assets that organisations can have, enabling them to choose the best strategies that will grant competitive advantage, resilience and consequently drive to success. The present research aims to understand the contribution of information systems (IS) for strategy, what are the benefits that organisations can achieved through the effective implementation of IS and in which resources organisations should invest, as way to maximise those benefits and to mitigate the risks associated with IS implementation. The methodology uses data gathered through a questionnaire and analysis is done using structure equation modelling. The results obtained show that the IS have a positive impact in organisations strategy and that the investments made by organisations in IS implementation are influenced by the benefits and risks perceived by using IS.
    Keywords: information systems; organisational strategy; benefits of IS; risks of IS; investments in IS.
    DOI: 10.1504/IJADS.2022.10044279
  • Multi-Dimensional Classification of Wind Turbine Spare Parts in a Multi-Echelon Inventory System   Order a copy of this article
    by Bin Yan, Yifan Zhou, Zhaojun Li, Chaoqun Huang, Jingjing Liu 
    Abstract: Optimising inventory management of spare parts is important for wind power companies to reduce operation and maintenance (O&M) costs. We summarise the indicators for wind turbine spare parts classification by analysing O&M management characteristics of the wind power industry. Spare parts of wind turbines are classified based on three dimensions: value, demand, and importance. The existing multi-dimensional spare parts classification methods discretise the indicator on each dimension. However, we use the K-means algorithm to classify spare parts based on normalised indicators. The proposed classification method significantly decreases the reliance on expertise and information loss caused by indicator discretisation. The proposed multi-dimensional classification method is validated using a practical case study of wind turbine spare parts classification, demonstrating that the proposed method can obtain reasonable classification that simultaneously stabilises the service level and reduces inventory costs.
    Keywords: multi-echelon inventory; wind turbine spare parts; normalisation; multi-dimensional classification.
    DOI: 10.1504/IJADS.2022.10044391
  • Multi-intervals robust mean-Conditional Value-at-Risk portfolio optimization with conditional scenario reduction technique   Order a copy of this article
    by Tahereh Khodamoradi, Maziar Salahi, Ali Reza Najafi 
    Abstract: In this paper, we study mean-conditional value at risk (mean-CVaR) portfolio optimisation with cardinality constraints and short selling under uncertainty. To reduce the level of conservatism, instead of single uncertainty interval, multi-intervals uncertainty sets are considered that are obtained by an efficient scenario reduction technique. It is proved that the proposed robust mean-CVaR model with cardinality constraints and short selling is equivalent to a mixed integer linear programming problem. Finally, using historical data on the S&P index for 2018, we evaluate the efficiency of the proposed models using CVX software in MATLAB. The results show that robust model has relatively low conservatism under multi-intervals uncertainties.
    Keywords: conditional value-at-risk; scenario reduction; robust optimisation.
    DOI: 10.1504/IJADS.2023.10045206
  • A Case Study in Strategic Decision Making Using Multi-Criteria Decision Making and Balanced Scorecard   Order a copy of this article
    by Iman Ajripour, Viktor Molnar 
    Abstract: The well-known model for supporting strategic management, the balanced scorecard (BSC), has proved to be a useful tool in strategic planning. Several decision-making models are available to support managerial decisions. In this paper BSC and some ranking methods are combined to increase the efficiency of strategic decisions. The elaborated model was adapted in a real-life decision-making situation and tested by the case study method. Based on the results the decision makers who participated in the research elaborated a course of action for reaching the strategic management goal of increasing management efficiency performance.
    Keywords: multi-criteria decision making; balanced scorecard; BSC; PROMETHEE; linear assignment method; performance management.
    DOI: 10.1504/IJADS.2022.10045461
  • Evaluation of cloud computing risks using an integrated fuzzy-ANP and FMEA approaches   Order a copy of this article
    by Ataallah Yazdani, Abbas Keramati, Ozgur Turetken, Yazwand Palanichamy 
    Abstract: Despite the considerable benefits of cloud-based services and their effect on the reduction of total investments in information technology (IT) infrastructures, there still exist a plethora of concerns regarding the potential risk of this relatively new method of resource outsourcing. Due to the diversity of activities in the risk management process, it is essential to develop an innovative framework for controlling and streamlining relevant processes. Such processes include the identification, ranking, and determination of relevant exposure strategies and risk responsiveness strategies. The proposed framework developed in this study was based on the risk management process phase of the PMBOK model to analyse the collected data via fuzzy analytical network processing and failure mode effective analysis methods. A survey was then drafted with participating IT experts. Results demonstrate that the three most important risks are data confidentiality, data integrity and reliability. Furthermore, 117 risk-responsiveness solutions such as auditing the scope of access to information, using relevant techniques to control data integrity, and implementing appropriate training programs for the support team within the organisation were recognised and ranked to suggest the most appropriate remedial strategies that extensively mitigate against identified risks.
    Keywords: cloud computing; risk management framework; failure mode effective analysis; project management body of knowledge.
    DOI: 10.1504/IJADS.2023.10045462
  • Measurement and determinants of innovation efficiency and its impact on asset prices   Order a copy of this article
    by Kailin Zeng, Fangyan Li, Ebenezer Fiifi Emire Atta Mills 
    Abstract: This study adopts a dynamic slack-based DEA framework to estimate the innovation efficiency of the exchange-listed companies that are at the centre of China’s innovation network. On average, these companies have low efficiency scores, signalling an over-investment in fixed assets, R&D, and excessive subsidies received from the government, along with a shortage of patent output. A Tobit-based analysis indicates that market share of sales, overvaluation, and profitability are positively linked to innovation efficiency, while excess analyst coverage can impede corporate innovation. Moreover, innovation efficiency is positively associated with stock returns from both cross-sectional regression tests and portfolio strategies.
    Keywords: DEA model; dynamic SBM model; innovation efficiency; determinants; Tobit regression; Fama-MacBeth cross-sectional test; stock returns; portfolio strategies; China.
    DOI: 10.1504/IJADS.2023.10045808
  • The Internet-of-Things and Human Sustainability between theory and practice. Is it time to bridge the gap   Order a copy of this article
    by Paola Paoloni, Maurizio Massaro, Francesca Dal Mas, Rosa Lombardi 
    Abstract: The internet of things (IoT) stands as a disruptive technology that offers unique opportunities for organisations to increase their competitive advantage. Still, several barriers in its implementation emerge, like privacy concerns. The paper aims at investigating how IoT can be used balancing the need to improve companies’ performance safeguarding, at the same time, the sustainability of work conditions for employees. Thematic and content analysis is used to assess both practitioners’ as well as scholars’ works. Results demonstrate how IoT has the potential to enhance human sustainability by reducing stress and anxiety, facilitating some tasks, entailing a fairer performance assessment, and even contributing to work and life balance. A proactive role by organisations and policymakers is required to overcome barriers like the lack of privacy, by translating the benefits of the new technology to its users. A win-win strategy can boost the value for the organisation and its people.
    Keywords: internet of things; IoT; human sustainability; work-life-balance; technology; digital disruption; practitioners; scholars; practitioners-academics divide; strategy.
    DOI: 10.1504/IJADS.2023.10045855
  • Business case the state-of-the-art   Order a copy of this article
    by José Santos, Leandro Pereira 
    Abstract: Nowadays the business case is a well-known and applied methodology in a multiple dimensionality of projects. This dimensionality of projects, where the business case is being implement, can range from the health sector, gender equality to digital transformation due to its transversality. This paper intends to provide a comprehensive overview of the literature review of the business case in terms of academic literature, searched keywords on the internet as well on the social network by providing a wide-ranging data analysis while providing a review in some of the research outcomes. Therefore, the present paper aims to provide a critically analysing occurrence and conjunction of the different data sources in a representative sample between 1977 to 2022, understand and integrate the current state of research on business cases in an attempt to provide a clear vision of the trends and future scenario of the business case.
    Keywords: business case; dimensionality; literature review; Google Trends; social networks; Scopus; digital transformation.
    DOI: 10.1504/IJADS.2023.10046008
  • An efficient constructive heuristic for the cutting stock problem applied in a foam mattress industry   Order a copy of this article
    by Mariem Baazaoui, Souhir Elleuch, Hihem Kammoun 
    Abstract: The cutting and packing problem belongs to the combinatorial optimisation problems; it covers a wide range of practical cases in industries. The present paper investigates a new real world problem that needs to be solved through the daily operations of cutting foam blocks in an industrial company. The problem is considered as one of non-classical problems in the cutting and packing area. It represents a variant of the three dimensional cutting stock problem. The originality of the studied problem is indicated by a specific set of constraints related to the production process and the cutting ways. A constructive heuristic was developed to provide cutting patterns in advance. All possible combinations established from the ways of cutting right rectangular prisms from foam blocks define the cutting patterns. This heuristic performs well and shows promising results in reasonable computational times to provide efficient cutting plans in order to reduce the total material loss.
    Keywords: optimisation; three dimensional cutting stock problem; cutting patterns; guillotine cut; constructive heuristic.
    DOI: 10.1504/IJADS.2023.10046079
  • Treatment Process Conformance Checking of Patients (with Sepsis and Septic Shock) in Compliance with SSC and WMA using Fuzzy Miner Algorithm in Fluxicon Disco   Order a copy of this article
    by Parham Porouhan 
    Abstract: This paper emphasises on presenting a process-centric approach to provide analytical processing of medical event-logs by means of the process mining tool: Fluxicon Disco. The event log contains the treatment procedures of the septic patients along with relevant medical testing and other services since admission (to the hospital) until final discharge. The main objectives of the study are: 1) to generate visual maps for septic cases/patients; 2) to check the hospitals medical guidelines; 3) to explore and control deviations of the medical requirements; 4) to simulate and visualise the bottleneck areas; 5) to optimise the hospitals efficiency; 6) to discover who is doing what; 7) to provide groundwork for applying fuzzy miner algorithm for further and future research in the field of medical process improvement. The study found a significant amount of medical malpractice associated with violation of SSC and WMA guidelines when treating the septic cases/patients.
    Keywords: process mining; Fluxicon Disco; fuzzy miner algorithm; medical data; hospital dataset; sepsis patients; Surviving Sepsis Campaign; SSC; World Medical Association; WMA.
    DOI: 10.1504/IJADS.2023.10046196
  • Computational Efficiency in Sports Talent Identification - A Systematic Review   Order a copy of this article
    by Naveed Jeelani Khan, Gulfam Ahamad, Mohd Naseem, Shahab Saqib Sohail 
    Abstract: The selection of talent for sports has always been of great concern. The research interest in the domain of computational decision-making for sports talent identification is on an increasing curve. The conventional approaches are being modelled into the scientific models using various analytical and mathematical computational techniques. This paper reviews some of the talent identification models and aims to project the current perspective of the computational techniques being employed in sports talent identification (TiD). Articles from a timeframe of 1995 to 2020 were systematically selected in accordance with the PRISMA guidelines. We remain focused on the computational methodology being employed in the TiD models. The review delivers the findings and highlights some of the inherent issues that are not being addressed by the existing TiD models.
    Keywords: sports talent identification; applied soft computing; multi-criteria decision making; MCDM; sports talent computation.
    DOI: 10.1504/IJADS.2023.10046451
  • A Multistage sustainable inventory model with backorder, fuzzy parameters and decision variable for deteriorating items with imperfect production and reliability.   Order a copy of this article
    by S. V. Singh Padiyar, Naveen Bhagat, Neha Punetha 
    Abstract: As the environment of industry becomes more competitive, management of supply chain has become essential part of the industries. In this paper, a multi-echelon inventory model for deteriorating items with imperfect production and reliability under inflationary environment has been developed. In this study, single-producer and single-retailer are considered from the integrated point of view. Practically, it is observed that deterioration rate is almost uncertain in every supply chain therefore deterioration rate is taken as triangular fuzzy number. Shortage is allowed only in retailer’s part; imperfect production process is also considered but it is not reworkable in this supply chain. The main premise of this study is to get minimum cost by developing integrated model for deteriorating items. Signed distance method is used to defuzzify the total cost function with two different demands for producer and retailer. Finally, a numerical example and sensitivity analysis are employed to illustrate the model.
    Keywords: multi echelon; reliability; inflation; deteriorating items; signed distance method.
    DOI: 10.1504/IJADS.2023.10046452
  • Production policy for an integrated inventory system under cloudy fuzzy environment   Order a copy of this article
    by S. V. Singh Padiyar, Naveen Bhagat, S.R. Singh, Neha Punetha, Himani Dem 
    Abstract: This article highlights on optimal strategy for a supply chain model for defective manufacturing process for deteriorating items with cloudy fuzzy inflation. The system considers two different consumption rates at different time periods for supplier. The imperfection during production causes ambiguity for total production schedule which affects the total shipment delivered by the manufacturer to the supplier. To emphasise the co-ordination between supplier and producer, a percentage of the total transport expenditures of the supplier is provided by the producer as on a proposal which helps the supplier to deliver the shipment fast and safely. The model has been developed over every likely expense incurred for supply chain system, i.e., fixed and variable transportation costs, labour cost, cost to abolish imperfect objects, etc. The formulated model is also justified using numerical examples and sensitivity analysis of the important parameters to inspect the effect on the optimal total cost.
    Keywords: supply chain model; deteriorating item; imperfect production; two-warehouse; cloudy fuzzy numbers.
    DOI: 10.1504/IJADS.2023.10046704
  • Blockchain Applications and Challenges for Supply Chain and Industry 4.0: A Literature Review   Order a copy of this article
    by Kuanchin Chen, Damodar Y. Golhar, Snehamay Banerjee 
    Abstract: Application of blockchain technology to facilitate a flexible, reliable, and efficient supply chain is an emerging phenomenon. Motivated by its potential use, researchers have started investigating blockchains use for managing complex global supply chains. In addition to established supply chain performance criteria, Industry 4.0 requires a more data driven supply chain (SC), where data collection, transmission and processing capabilities are embedded in smart products. However, review articles of blockchain in SC primarily report descriptive statistics, but do not provide sufficient evidence on how topics are studied together. This article discusses the role of blockchain in SC and presents a methodology to study co-occurrence of blockchain topics in SC. Three most often researched topics identified are transparency/traceability, transaction related issues and tracking. Using a machine learning algorithm, we further examine trends of co-occurrence among various topics of interest and identify gaps in existing literature and point to future research directions.
    Keywords: blockchain; Industry 4.0; Supply chain 4.0; supply chain management.
    DOI: 10.1504/IJADS.2023.10047275
  • Human resource management at the enterprise during the development of new forms of employment   Order a copy of this article
    by Islam O. Sulumov, Zulay K. Tavbulatova, Gulnaz F. Galieva, Gayane A. Kochyan, Anzaur A. Bzhasso 
    Abstract: The research is aimed at analysing and long-term forecasting of changes in the field of human resource management in the context of labour market transformation, as well as identifying adaptation tools at the enterprise management level. The article provides a forecast of structural and functional changes in organisations in terms of human resource management. The authors have formed a classification model of the functions and tasks performed in the organisation, which is necessary to optimise organisational activities and adapt to predicted changes. The authors used the analysis method to assess the current state of the global sphere of work and identify key patterns. The economic and mathematical method of trend extrapolation is used to forecast the macroeconomic dynamics of the freelance market in Russia. Synthesis as a method of studying the cumulative impact of the identified trends was used to make a holistic forecast of the transformation of intra-organisational activity.
    Keywords: labour market; transformation; employment; human resource management; freelance; adaptation tools.
    DOI: 10.1504/IJADS.2023.10047349
  • Decision Biases in the Capacity Expansion Problems with Product Importance Perceptions   Order a copy of this article
    by Giteak Roh, Seongam Moon, Kyunghwan Choi 
    Abstract: Capacity expansion is one of the vital areas of decision-making in production management and its sustainability. Most quantitative studies on capacity expansion have been focused on computing the optimal times, sizes. In this paper, we investigate the effect of substantial and nominal importance on the capacity expansion decision-making through online experiments. We provide three results for capacity expansion decision-making. The first provides both substantial and nominal importance perceptions have an effect on capacity expansion decision-making. We further provide capacity expansion experiments also show the analogical results of Schweitzer and Cachon’s (2000) study, the pull-to-centre effect regardless of high or low margins. The third provides the nominal importance effect at low margins affects capacity expansion decision-making, but not at high margins. Our study gives implications that bounded rationality also occurs in capacity expansion decisions, so it must be analysed with mathematical models to ensure more reasonable results.
    Keywords: capacity expansion; product importance; decision-making; bias heuristics; behavioural operations management; BOM.
    DOI: 10.1504/IJADS.2023.10047350
  • K-means analysis of construction projects in port waterfronts   Order a copy of this article
    by Iñigo L. Ansorena 
    Abstract: Choosing the best construction project on the city’s waterfront is a difficult decision since the view of the waterfront is one of the main attractions for tourism in many cities. In a competition context, it is essential for port authorities to choose the project that best meets not only the needs of the port-city but also the expectations of the citizens and visitors. The present study explained and explored the citizens’ opinion about a construction project competition. A structured and un-disguised questionnaire was developed and used to collect the primary data from 535 respondents. Conceptual model was investigated by k-means clustering method. Study delivered detailed insight on various elements used for analysis and revealed the alternatives that attracted more interest. The general framework presented in this article can help decision-makers to find the best construction projects.
    Keywords: decision making; alternatives; similarity search; dataset; port-city; cluster analysis; k-means; waterfront; emblematic projects; decision analysis.
    DOI: 10.1504/IJADS.2023.10047423
  • Large-scale vehicle routing problem with massive precedence and cluster constraints   Order a copy of this article
    by Yongzhong Wu, Simin Huang, Yu Chen 
    Abstract: With the continuous development of the urban logistics industry, the vehicle routing problem (VRP) manifests in increasingly large-scale and complex scenarios. In this study, a realistic large-scale VRP with massive precedence and cluster constraints is studied. An artificial bee colony (ABC) algorithm is designed to solve the problem. A route repair procedure is devised to ensure the satisfaction of all the constraints in realistic-sized problems. The algorithms are used to solve a set of real instances for a courier company in China. For such large-scale problems, the improved ABC algorithm performs significantly better than the basic ABC algorithm without the route repair procedure. This study further analyses the sensitivity of the results to the values assigned to a series of weighting coefficients on the constraints and objectives. This provides the company with flexibility in its operations under different operating circumstances.
    Keywords: multi-objective VRP; precedence and cluster constraints; artificial bee colony; ABC; route repair procedure; metaheuristic.
    DOI: 10.1504/IJADS.2022.10041515
  • Development of an innovative framework for missing data in retail data science   Order a copy of this article
    by Ashok Mahapatra, Srikanta Patnaik, Manoranjan Dash, Ananya Mahapatra 
    Abstract: Although handling missing data and missing value imputation are widely researched subjects, missing data identification and treatment has not been pursued as a principal apparatus in retail data science applications. Critical data science derived strategies for assortment optimisation, customer purchasing behaviour and supply chain draw conclusions mostly based on the assumptions of non-missing, complete datasets. Therefore, we not only explore missing data scenarios in retail holistically: 1) from a data science perspective; 2) from an operational perspective; 3) from an implementation perspective, such that we can develop a robust framework, but also, we fill the gaps in: 1) identification; 2) treatment of missing data. To make our recommendations robust and comprehensive, we have proposed an implementable framework that harnesses the missing data scenarios in retail holistically and bridges the gaps in identification and treatment of it. At the core of the framework is a decision tree conjoining systematically derived two options trees, one from the retail industry operations and the other from the spectrum of missing data methods in the realm of data science.
    Keywords: innovative framework; retail strategy; retail data science; missing value; big data.
    DOI: 10.1504/IJADS.2022.10043403
  • HDSS: a healthcare decision support system on combining domain knowledge and data analytics for predicting potential risk of mental health   Order a copy of this article
    by Chun-Kit Ngan, Yok-Fong Paat, Rachel Green 
    Abstract: We develop an HDSS to determine if a patient is at risk of mental health (MH) problems. This HDSS combines the strengths of both domain experts' knowledge and data analytics techniques to conduct the risk identification for patients. Our contributions are three-fold: 1) develop a two-tier hybrid-based prediction process to construct a classification model to predict if a person suffers from a particular symptom; and then determine if that person is at risk of suffering from MH problems based upon the domain experts' diagnostic criteria; 2) execute experiments to show that our approach is more effective and produces the results that are slightly less accurate than those of domain experts' diagnostic criteria but superior to those of the data analytics approach; 3) develop a dashboard that delivers descriptive visuals from diverse perspectives to assist physicians in obtaining a more comprehensive view of patients' MH status to provide them with better treatment and support.
    Keywords: decision support; patient healthcare; mental health risk; predictive analytics; descriptive analytics; interactive dashboard.
    DOI: 10.1504/IJADS.2022.10040987
  • Nash equilibrium in cooperative games as a tool for solving the sustainable business development dilemma   Order a copy of this article
    by Juan Angel Chica-Urzola, Jesús Gabalán-Coello, Vanessa Benavides-Miranda 
    Abstract: The sustainable business development (SBD), as well as sustainable development in general, has been the subject of multiple conceptualisations, discussions and debates that have made this term become something abstract and difficult to implement in organisations. Even more so when one tries to do it from a multidimensional perspective that links the economic, social and environmental aspects; since many of the objectives of these dimensions are opposite or their effects, positive in one dimension, may be negative in another one, increasing complexity when making decisions framed in this model. Game theory and Nash equilibrium, for their part, propose tools to make an approximation that, taking considering this complexity, allows making the right decisions in terms of business sustainability.
    Keywords: sustainable development; Nash equilibrium; multidimensional business development; cooperatives games; decision theory.
    DOI: 10.1504/IJADS.2022.10040862
  • The impact of corporate governance and political connections on the financial performance: the analysis of the financial distress of Lebanese banks   Order a copy of this article
    by Hani El-Chaarani, Rosa Lombardi 
    Abstract: This paper aims to investigate the impact of corporate governance on the financial performance of Lebanese banks also analysing the impact of political connections to draft the financial crisis of the Lebanese banking sector in 2020-2021. Annual financial reports and the Orbis-BankFocus database are used to collect financial and non-financial information of Lebanese banks between 2016-2019. Descriptive statistics and multiple regressions are applied to explore the impact of corporate governance mechanisms and political net on the profitability, liquidity level and risk management of Lebanese banks. Results reveal that: 1) internal and external governance mechanisms of the Lebanese banking sector are considered weak and need improvements; 2) internal corporate governance mechanisms can improve the financial performance of Lebanese banks; 3) the presence of political connections seems to lead risky lending practices. This research provides information to support investors, bankers, regulators, and top managers in the Lebanese banking sector. Lebanese banks must improve their internal corporate governance mechanisms to sustain in the current legal protection environment.
    Keywords: banks; corporate governance; political connection; performance; profitability; liquidity; financial risk.
    DOI: 10.1504/IJADS.2022.10043047