Template-Type: ReDIF-Article 1.0 Author-Name: Ameneh Khadivar Author-X-Name-First: Ameneh Author-X-Name-Last: Khadivar Author-Name: Hamideh Nazarian Author-X-Name-First: Hamideh Author-X-Name-Last: Nazarian Author-Name: Sanaz Bodaghi Author-X-Name-First: Sanaz Author-X-Name-Last: Bodaghi Title: Proposing a model for accepting core banking system in Iran using fuzzy DEMATEL technique: a case study Abstract: Core banking system (CBS) implementation is a time-consuming, cost-intensive, and complex task. As a result, plenty of CBS projects have failed. This research proposes a model for accepting the CBS using the fuzzy DEMATEL technique at Parsian Bank, Iran. Identified from the users' standpoint, factors affecting the acceptance of the CBS have been prioritised through the questionnaire. Moreover, the involved criteria of CBS are separated into the cause and effect groups to help decision-makers focus on those criteria providing great influence. The findings indicate that three of the influencing factors are identified as critical ones; within the cause group, the criterion of 'the output quality of the CBS' is the most important factor for accepting the CBS, whereas 'the quality of the CBS' has the best effect on the other criteria. By contrast, 'adequate training for employees to use the CBS' is the most easily improved of the effect group criteria. Journal: Int. J. of Information and Decision Sciences Pages: 46-72 Issue: 1 Volume: 15 Year: 2023 Keywords: core banking system; CBS; technology acceptance; accepting the CBS; fuzzy DEMATEL technique; Iran. File-URL: http://www.inderscience.com/link.php?id=129653 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:46-72 Template-Type: ReDIF-Article 1.0 Author-Name: Yazan Alshboul Author-X-Name-First: Yazan Author-X-Name-Last: Alshboul Author-Name: Nareman Al.Hamouri Author-X-Name-First: Nareman Author-X-Name-Last: Al.Hamouri Title: Cybersecurity antecedents of trust: toward OPS adoption in Jordan Abstract: Online services such as online banking, particularly, the online payment system (OPS), plays an important role in modern life. In developing countries, there is a kind of resistance to adopting OPSs. Therefore, more focus is needed to understand the behaviour toward OPS, especially in developing countries. This paper integrates the trust model and the theory of planned behaviour and addresses the antecedents of the trust factor in the context of OPSs. Particularly, it focuses on the cybersecurity factors as antecedents to the trust model. We tested our model empirically using data gathered from 200 participants who use eFawateercom system, an online payment system used in Jordan. The results showed that cybersecurity factors like systems security, privacy, and reliability play an essential role in affecting users' trust, which has a crucial impact on the attitude toward OPS adoption. This article concluded with implications for academia and practitioners. Journal: Int. J. of Information and Decision Sciences Pages: 73-93 Issue: 1 Volume: 15 Year: 2023 Keywords: online payment system; OPS; cybersecurity factors; trust; privacy; security; reliability. File-URL: http://www.inderscience.com/link.php?id=129654 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:73-93 Template-Type: ReDIF-Article 1.0 Author-Name: Francisco J. dos Santos Author-X-Name-First: Francisco J. dos Author-X-Name-Last: Santos Author-Name: André L.V. Coelho Author-X-Name-First: André L.V. Author-X-Name-Last: Coelho Title: A multi-view approach to multi-criteria decision making Abstract: In this paper, we investigate a new approach to multi-criteria decision making (MCDM) centred upon the application of canonical correlation analysis (CCA) to distinct groups of judgement criteria. By resorting to MV-MCDM (multi-view multi-criteria decision making), one can estimate reliable values for criteria weights via CCA for multi-view multi-criteria problems; reduce the dimensionality of the decision matrix by considering only one of the available views; and easily extend well-known MCDM methods, such as simple additive weighting (SAW) and technique for order of preferences by similarity to ideal solution (TOPSIS). MV-MCDM also allows the adoption of different aggregation methods (such as the Choquet integral and a new heuristic based on radar charts) to generate the overall scores of the alternatives. A numerical example with the multi-view versions of SAW and TOPSIS demonstrates the applicability of the novel approach. Journal: Int. J. of Information and Decision Sciences Pages: 1-26 Issue: 1 Volume: 15 Year: 2023 Keywords: multi-criteria decision making; MCDM; multi-view canonical correlation analysis; CCA; TOPSIS; simple additive weighting; SAW; Choquet integral. File-URL: http://www.inderscience.com/link.php?id=129655 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Annapurna P. Patil Author-X-Name-First: Annapurna P. Author-X-Name-Last: Patil Author-Name: Lalitha Chinmayee M. Hurali Author-X-Name-First: Lalitha Chinmayee M. Author-X-Name-Last: Hurali Title: Discerning the traffic in anonymous communication networks using machine learning: concepts, techniques and future trends Abstract: With the growing need for anonymity and privacy on the internet, anonymous communication networks (ACNs) such as Tor, I2P, JonDonym, and Freenet have risen to fame. Such anonymous networks aim to provide freedom of expression and protection against tracking to its users. Simultaneously, there is also a class of users involved in the illegal usage of these ACNs. An emerging research topic in the field of ACNs is network traffic classification, as it can improve the network security against illegal users as well as improve the quality of service for its legal users. In this study, we review the research works available in the literature relevant to traffic classification in ACNs based on machine learning (ML) and also present to the researchers the general concepts and techniques in this area. A discussion on future trends in this area is also provided to bring out the future enhancements required in ML-based network traffic classification in ACNs. Journal: Int. J. of Information and Decision Sciences Pages: 94-115 Issue: 1 Volume: 15 Year: 2023 Keywords: anonymous communication networks; ACNs; machine learning; traffic classification; Tor; network security. File-URL: http://www.inderscience.com/link.php?id=129656 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:94-115 Template-Type: ReDIF-Article 1.0 Author-Name: Jaya Sinha Author-X-Name-First: Jaya Author-X-Name-Last: Sinha Author-Name: Shri Kant Author-X-Name-First: Shri Author-X-Name-Last: Kant Author-Name: Megha Saini Author-X-Name-First: Megha Author-X-Name-Last: Saini Title: Modelling big data analysis approach with multi-agent system for crop-yield prediction Abstract: Big data environment in current scenario is dealing with challenges in handling inherent complexity residing in the massive heterogeneous, multivariate and continuously evolving real-time data along with offline statistics. The role of big data analytics to analyse such a highly diverse data also plays a significant role in estimating predictive performance of a system. This paper thus aims at proposing an intelligent agent-based architecture that coordinates with big data analytics framework to model a system with an objective to improve the predictive performance of system by handling such diverse data. The paper also includes implementing predictive algorithm to predict crop yield in the agricultural domain. Various machine learning analytical tools have been used for data analysis to produce comprehensive and more accurate prediction using the proposed architecture. Journal: Int. J. of Information and Decision Sciences Pages: 27-45 Issue: 1 Volume: 15 Year: 2023 Keywords: multi-agent system; MAS; big data; data acquisition; data analysis; data storage; machine learning; intelligent agents. File-URL: http://www.inderscience.com/link.php?id=129657 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:27-45 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Hakkak Author-X-Name-First: Mohammad Author-X-Name-Last: Hakkak Author-Name: Khaled Nawaser Author-X-Name-First: Khaled Author-X-Name-Last: Nawaser Author-Name: Mohammad Jalali Author-X-Name-First: Mohammad Author-X-Name-Last: Jalali Author-Name: Samaneh Ghahremani Author-X-Name-First: Samaneh Author-X-Name-Last: Ghahremani Author-Name: Ali Vafaei-Zadeh Author-X-Name-First: Ali Author-X-Name-Last: Vafaei-Zadeh Author-Name: Haniruzila Hanifah Author-X-Name-First: Haniruzila Author-X-Name-Last: Hanifah Title: Determining a model for eliminating organisational lying: a grounded theory approach Abstract: The present study has been implemented to generate a theory in the field of organisational lying for better understanding and explaining the phenomenon in organisations. The subject of lying has been widely discussed in other fields such as psychology. However, little attention has been paid to this issue in the field of management and organisation. Therefore, it seems that this paper can open a new horizon to research on lying within the organisation. The research method is qualitative and based on the grounded theory. Semi-structured interviews were used for data collection and Strauss and Corbin method and paradigmatic model were adopted for data analysis. A total of 21 interviews were conducted with managers and experts who were familiar with the issue and context using judgmental and snowball sampling technique. The results of the analysis of the data obtained from the interviews during the open, axial and selective coding processes led to the formation of a grounded theory concerning the organisational lying based on which the purposeful lying, blind lying, and silent lying were introduced as the basic concepts of the organisational lying model. Journal: Int. J. of Information and Decision Sciences Pages: 345-365 Issue: 4 Volume: 15 Year: 2023 Keywords: organisational lying; antecedents of lying; consequences of lying; grounded theory. File-URL: http://www.inderscience.com/link.php?id=134789 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:345-365 Template-Type: ReDIF-Article 1.0 Author-Name: Ravindra Singh Saluja Author-X-Name-First: Ravindra Singh Author-X-Name-Last: Saluja Author-Name: Varinder Singh Author-X-Name-First: Varinder Author-X-Name-Last: Singh Title: Investigation of the rank reversal problem in some novel objective weight-based MADM methods Abstract: Objective weight-based multi-attribute decision-making (OWMADM) methods are applied in decision situations where the weight values are not sought from decision-makers and are rather obtained based on the range or spread of attribute data. The present study develops three novel OWMADM methods, namely preference selection index proximity indexed value method (PSIPIVM), standard deviation proximity indexed value method (SDPIVM) and entropy proximity indexed value method (EPIVM), by combining the objective weights obtained through three different methods with the recently developed proximity indexed value method (PIVM), which is known to promote minimisation of the rank reversal problem. Two established criteria are adopted to evaluate the occurrence of rank reversal, one by removing the least preferred alternative from consideration while another involved splitting the considered alternatives into two sets and testing for the transitive property. The paper also attempts to identify suitable normalisation techniques for the proposed OWMADM methods to yield robust ranking orders, which may enhance the reliability of decision outcome. Journal: Int. J. of Information and Decision Sciences Pages: 431-456 Issue: 4 Volume: 15 Year: 2023 Keywords: multi-attribute decision making; MADM; objective weight; PSI; SD; entropy; PIVM; rank reversal; decision analysis. File-URL: http://www.inderscience.com/link.php?id=134790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:431-456 Template-Type: ReDIF-Article 1.0 Author-Name: Jeeno Mathew Author-X-Name-First: Jeeno Author-X-Name-Last: Mathew Author-Name: Brijesh Paul Author-X-Name-First: Brijesh Author-X-Name-Last: Paul Title: A bi-objective optimisation technique for scheduling repetitive projects Abstract: Repetitive projects are projects in which the same type of works/activities gets repeated in different locations or sites. For each of this type of projects, different crew options are available for each activity and selecting the best option corresponding to each activity is a difficult task. Project managers in these projects are often faced with the task of finding out the best schedule corresponding to the optimum project duration and expenditure which will satisfy different constraints. Since the computational complexity is very high in these types of projects, an ABC algorithm-based heuristic methodology is developed in this study, which can give good solutions for satisfying the above mentioned objectives with respect to different constraints. The proposed methodology's performance is analysed with exact solutions and the results show that an ABC algorithm-based methodology gives significantly good quality solutions. Journal: Int. J. of Information and Decision Sciences Pages: 366-383 Issue: 4 Volume: 15 Year: 2023 Keywords: ABC algorithm; repetitive projects; optimisation. File-URL: http://www.inderscience.com/link.php?id=134791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:366-383 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed A. Hajeeh Author-X-Name-First: Mohammed A. Author-X-Name-Last: Hajeeh Title: Availability and mean time to failure for repairable k-out-N: G systems with identical components Abstract: This study presents Markov models for assessing the availability and the mean time to failure (MTTF) of a <i>k</i>-out-of <i>n</i>: <i>G</i> system with exponentially distributed time between failures and repair times. Generalised analytical expressions for the steady-state availability and MTTF are derived. Furthermore, numerical examples are used to illustrate the performance of several models along with the cost of adopting different configurations. Journal: Int. J. of Information and Decision Sciences Pages: 384-407 Issue: 4 Volume: 15 Year: 2023 Keywords: k-out-of n: G system; availability; mean time to failure; MTTF; cost. File-URL: http://www.inderscience.com/link.php?id=134792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:384-407 Template-Type: ReDIF-Article 1.0 Author-Name: Abdelhak Khalil Author-X-Name-First: Abdelhak Author-X-Name-Last: Khalil Author-Name: Mustapha Belaissaoui Author-X-Name-First: Mustapha Author-X-Name-Last: Belaissaoui Title: NoSQL-based approach in data warehousing and OLAP cube computation Abstract: Over the last few years, Not only SQL (NoSQL) databases are gaining increasingly significant ground and are considered as the future of data storage. In this paper, we are interested in implementing NoSQL-OLAP systems by defining mapping rules from the multidimensional conceptual level to logical key-value model, and providing a set of online analysis operators. We consider two different approaches in order to implement a big data warehouse within key value stores. The first one uses SQL-like table structure layered on top of the key-value schema, the second one uses a simple key-value pair structure. Then we provide aggregation operators (Map-Reduce Cube and Bit-Encoded Cube) for key value models in order to perform OLAP cube computation. We implemented OLAP operator using Oracle NoSQL database and LevelDB, and we conducted experiments on a fictional data warehouse produced by an existing benchmark that considers NoSQL models. Thus, results showed clearly the performance of OLAP implementations under NoSQL key value stores in terms of efficiency and scalability. Journal: Int. J. of Information and Decision Sciences Pages: 408-430 Issue: 4 Volume: 15 Year: 2023 Keywords: OLAP; data warehouse; NoSQL; big data; cube model. File-URL: http://www.inderscience.com/link.php?id=134794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:4:p:408-430 Template-Type: ReDIF-Article 1.0 Author-Name: Sandeep Rathor Author-X-Name-First: Sandeep Author-X-Name-Last: Rathor Author-Name: Sanket Agrawal Author-X-Name-First: Sanket Author-X-Name-Last: Agrawal Title: The art of context classification and recognition of text conversation using CNN Abstract: This paper proposes a robust model for recognising the context of a conversation by using a convolutional neural network (CNN). Initially, the pre-processed text is passed to an embedding layer, which gives out a feature matrix. This is passed to a multi-level CNN. In the proposed model, each CNN reduces the input matrix to half of the input size. Thus, the output of the next CNN layer and the pass of the current CNN layer followed by average pooling are added. The output from the last CNN layer and global outputs are concatenated and finally, passed into two fully connected layers FC(512) and FC(8). In the proposed paper, context is classified into categories like spiritual-mythological, healthcare, trade-commerce, politics, personal, academic, sports, and violence. Experimental results show that our proposed model outperforms with an accuracy of 92.97%. We compared the performance of our model to conventional ML algorithms and obtained promising results. Journal: Int. J. of Information and Decision Sciences Pages: 185-200 Issue: 2 Volume: 15 Year: 2023 Keywords: context recognition; text conversation; text mining; convolutional neural network; CNN; machine learning. File-URL: http://www.inderscience.com/link.php?id=131533 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:2:p:185-200 Template-Type: ReDIF-Article 1.0 Author-Name: Reza Sepahvand Author-X-Name-First: Reza Author-X-Name-Last: Sepahvand Author-Name: Khaled Nawaser Author-X-Name-First: Khaled Author-X-Name-Last: Nawaser Author-Name: Mohammad Hossein Azadi Author-X-Name-First: Mohammad Hossein Author-X-Name-Last: Azadi Author-Name: Ali Vafaei-Zadeh Author-X-Name-First: Ali Author-X-Name-Last: Vafaei-Zadeh Author-Name: Haniruzila Hanifah Author-X-Name-First: Haniruzila Author-X-Name-Last: Hanifah Author-Name: Razieh Bagherzadeh Khodashahri Author-X-Name-First: Razieh Bagherzadeh Author-X-Name-Last: Khodashahri Title: In search of sustainable electronic human resource management in public organisations Abstract: Over the past two decades, issues such as environmental degradation, growth of anti-globalisation sentiments, and demand for innovation and creativity in public and private sectors have emerged as prominent global organisational problems. These developments have led to a growing interest in the concept of sustainability, which many human resource management researchers believe can enhance HRM capabilities and activities, leading to better organisational performance and competitive advantage. Given the huge impact of information technology on HRM, identification of factors affecting the implementation of sustainable electronic human resource management in organisations can result in significant cost reduction and more principled organisational decision making. The present study aimed to identify and evaluate the factors affecting the implementation of sustainable EHRM in public organisations using type-2 fuzzy FMEA. After reviewing the research literature and surveying experts, 29 factors in the three dimensions of social, environmental, and economic were identified. After designing and distributing the questionnaire among experts, type-2 fuzzy AHP was used to determine the weight of risk factors of FMEA. The identified factors were then ranked using type-2 fuzzy TOPSIS. The results showed that the social dimension is the most important dimension for the implementation of sustainable EHRM in the study area. Journal: Int. J. of Information and Decision Sciences Pages: 117-147 Issue: 2 Volume: 15 Year: 2023 Keywords: sustainable electronic human resource management; SEHRM; FMEA; type 2 fuzzy TOPSIS; type 2 fuzzy AHP. File-URL: http://www.inderscience.com/link.php?id=131534 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:2:p:117-147 Template-Type: ReDIF-Article 1.0 Author-Name: Rakesh Garg Author-X-Name-First: Rakesh Author-X-Name-Last: Garg Author-Name: Supriya Raheja Author-X-Name-First: Supriya Author-X-Name-Last: Raheja Author-Name: Aakash Gupta Author-X-Name-First: Aakash Author-X-Name-Last: Gupta Author-Name: Geetika Munjal Author-X-Name-First: Geetika Author-X-Name-Last: Munjal Title: A multi-criteria decision support system for the assessment of cities based on air quality indicators Abstract: A deterministic decision support system is developed for the assessment and ranking of various cities based on the air quality indicators in this research. The present study models such assessment of cities as a multi-criteria decision-making (MCDM) problem due to the involvement of multiple air quality indicators. Further, to solve the present assessment problem, a hybrid MCDM approach, namely, entropy-evaluation based on distance from average solution (EDAS-E) is implemented by integrating two well-known approaches such as Shannon entropy and evaluation based on distance from average solution (EDAS). Shannon entropy approach is used to calculate the priority weights of the air quality indicators whereas the EDAS method is used to get the comprehensive ranking of the cities based on the identified air quality indicators. Journal: Int. J. of Information and Decision Sciences Pages: 148-167 Issue: 2 Volume: 15 Year: 2023 Keywords: air pollution; air quality indicators; multi-criteria decision making; MCDM; entropy; EDAS; decision support system. File-URL: http://www.inderscience.com/link.php?id=131536 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:2:p:148-167 Template-Type: ReDIF-Article 1.0 Author-Name: Ankit Mehrotra Author-X-Name-First: Ankit Author-X-Name-Last: Mehrotra Author-Name: Reeti Agarwal Author-X-Name-First: Reeti Author-X-Name-Last: Agarwal Title: Analysing impact of IT investments on banks' performance using multi-stage DEA Abstract: The paper studies the impact of investments made in information technology (IT) on firm performance. The paper makes use of multi-stage data envelopment analysis (DEA) to find out the marginal impact of IT investment on firm performance. The paper uses a three-stage DEA approach by introducing a new variable, i.e., communication expenses to study what bearing IT has on firm efficiency attainment. The paper also extends existing literature related to the indirect influence of IT on firm performance by making use of a non-parametric approach, DEA. To attain the aims of the study, data from a number of banks was considered for a period of five years. The study introduced IT variables at two stages of the analysis to analyse its marginal effect on efficiency outcome. Journal: Int. J. of Information and Decision Sciences Pages: 201-220 Issue: 2 Volume: 15 Year: 2023 Keywords: data envelopment analysis; DEA; performance; efficiency; information technology; bank; marginal effect. File-URL: http://www.inderscience.com/link.php?id=131537 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:2:p:201-220 Template-Type: ReDIF-Article 1.0 Author-Name: Moufida Hidouri Author-X-Name-First: Moufida Author-X-Name-Last: Hidouri Title: Compromise ranking based on superiority, inferiority and Euclidean normalised similarity metrics: the ESIASP method Abstract: Xiaozhan Xu introduced in the year 2001 the multi-attribute methods <i>SIR.TOPSIS</i> and <i>SIR-SAW</i>. The SIR.TOPSIS method has two different variants, which we refer to here as <i>SR.TOPSIS</i> and <i>IR.TOPSIS</i>. Noteworthy, each variant gives attention only to one type of indexes rather than both types, which may result in questionable final ranking of alternatives. Additionally, the <i>SIR.TOPSIS</i> variants ranking indexes have been based on the TOPSIS closeness coefficient, which is inflexible in the sense of not being affected by the relative importance of separations of each alternative from positive ideal solution and negative ideal solution. Likewise, the SIR.SAW method ignores the relative significances of superiority flows and inferiority flows of alternatives. It is therefore worthwhile to introduce a new ranking method to overcome the flaws seen in Xu's SIR methods. Comparison of the ranking results obtained shows that the suggested method is a relevant and implementable alternative to Xu's SIR methods. Journal: Int. J. of Information and Decision Sciences Pages: 326-343 Issue: 3 Volume: 15 Year: 2023 Keywords: closeness coefficient; flow; inferiority; multi-attribute; positive ideal; negative ideal; ranking index; SIR.SAW; SIR.TOPSIS; separations; superiority. File-URL: http://www.inderscience.com/link.php?id=132822 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:3:p:326-343 Template-Type: ReDIF-Article 1.0 Author-Name: Sven Grüner Author-X-Name-First: Sven Author-X-Name-Last: Grüner Author-Name: Norbert Hirschauer Author-X-Name-First: Norbert Author-X-Name-Last: Hirschauer Author-Name: Felix Krüger Author-X-Name-First: Felix Author-X-Name-Last: Krüger Title: Eliciting individual risk attitudes - different procedures, different findings Abstract: We compare three procedures for eliciting individual risk attitudes: Holt and Laury (2002), Eckel and Grossman (2002) and the general willingness-to-take-risks question of the German socio-economic panel. Using a within-subject design, we carry out a classroom experiment with students who are enrolled in the degree programs Physics, Computer Sciences, Agricultural Sciences, Law, and History. We find that the risk attitudes as measured by the three procedures diverge substantially. This poses a serious challenge to the validity of these measurement instruments. Journal: Int. J. of Information and Decision Sciences Pages: 221-242 Issue: 3 Volume: 15 Year: 2023 Keywords: risk-attitude; Eckel-and-Grossman procedure; Holt-and-Laury procedure; self-reported willingness-to-take-risks; bounded rationality. File-URL: http://www.inderscience.com/link.php?id=132823 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:3:p:221-242 Template-Type: ReDIF-Article 1.0 Author-Name: Nichnan Kittiphattanabawon Author-X-Name-First: Nichnan Author-X-Name-Last: Kittiphattanabawon Title: Discovering interesting relationships in the factors relating to the elderly living alone in Thailand using association analysis Abstract: Many countries are facing an aging society situation. The problem of the elderly living alone happens often, even in Thailand. This research aimed to discover the factors that reflect the elderly living alone. Association analysis techniques were employed to unearth all possible factor combinations. The measures, called support and confidence, were utilised to determine the strength of the discovered factors. Association rules have also been mined to reveal the relationship between the factors affecting the elderly living alone. The study sample consisted of 36,574 elderly living alone and was received from the National Statistical Office of Thailand. The study showed that the elderly living alone often does not need a caregiver if they have supportive family members, have public healthcare benefits, earn a living from a social security fund, and have amenities in the house. The primary discovery was that they can carry out a routine without assistance. Furthermore, most importantly, they are in good health. Journal: Int. J. of Information and Decision Sciences Pages: 168-184 Issue: 2 Volume: 15 Year: 2023 Keywords: elderly; aloneness; Thailand; association analysis; association rules; interesting relationships. File-URL: http://www.inderscience.com/link.php?id=131544 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:2:p:168-184 Template-Type: ReDIF-Article 1.0 Author-Name: Devesh Sahu Author-X-Name-First: Devesh Author-X-Name-Last: Sahu Author-Name: Atul Chakrawarti Author-X-Name-First: Atul Author-X-Name-Last: Chakrawarti Title: Evaluation and selection of a casting process using interval type-2 fuzzy analytical hierarchy process Abstract: Selection of a casting process is a kind of multi-criteria decision-making process, in which several factors like cost, material utilisation and flexibility, geometrical complexity and flexibility and dimensional accuracy and surface finish. As cost is considered one of the prime criteria in decision making, it is further sub-categorised into three sub-criteria, i.e., tooling cost, equipment cost, and labour cost. Past researchers have used multi-criteria decision-making technique like analytical hierarchy process along with type-1 fuzzy in the evaluation and selection of casting process, which is successful in handling the fuzziness of the system but are unable to address the issue of uncertainty associated with decision making. So, in this paper interval type-2 fuzzy analytical hierarchy process is used to evaluate and select best casting process among sand casting, gravity die casting, shell moulding, plaster mould casting, pressure die casting and investment casting, and capable of handling uncertainty associated with decision making. A numerical illustration is solved using the interval type-2 fuzzy analytical hierarchy process and it is found that investment casting is evaluated as best casting process for cam carrier and is ranked number one. Journal: Int. J. of Information and Decision Sciences Pages: 280-301 Issue: 3 Volume: 15 Year: 2023 Keywords: casting; multi-criteria decision making; MCDM; type-2 fuzzy; analytical hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=132824 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:3:p:280-301 Template-Type: ReDIF-Article 1.0 Author-Name: Claudia R. Carvalho de Oliveira Author-X-Name-First: Claudia R. Carvalho de Author-X-Name-Last: Oliveira Author-Name: José Cristiano Pereira Author-X-Name-First: José Cristiano Author-X-Name-Last: Pereira Author-Name: Nelio Domingues Pizzolato Author-X-Name-First: Nelio Domingues Author-X-Name-Last: Pizzolato Title: Combined application of condition-based maintenance and reliability centred maintenance using PFMEA and lean concepts - a case study Abstract: Productivity is an essential element for competitiveness, helping companies to be better prepared for the future, given all of today's challenges. Such productivity needs to be clearly confirmed by operational results. This paper covers assets maintenance effectiveness, one of the productivity evaluation components increasingly gaining business attention. The proposed methodology helps the achievement of the required effectiveness on asset maintenance, by combining the concepts of reliability centred maintenance and condition-based maintenance, also supported by PFMEA, a successful risk management strategy, and lean manufacturing practices. A case study was conducted in a high technology enterprise, combining those referred concepts. The implementation process used 'minimum viable product' strategy. The main concept is based on suitable equipment inspection and diagnosis practices which guide interventions and cleverer behaviour towards asset management. As a result, in the first year of implementation, 5% to 10% cost reduction was obtained together with a significant increase in equipment availability which has reached a level of 95%. Journal: Int. J. of Information and Decision Sciences Pages: 302-325 Issue: 3 Volume: 15 Year: 2023 Keywords: asset management; reliability centred maintenance; RCM; condition-based maintenance; CBM; PFMEA; lean maintenance. File-URL: http://www.inderscience.com/link.php?id=132825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:3:p:302-325 Template-Type: ReDIF-Article 1.0 Author-Name: Mervat Helmy Author-X-Name-First: Mervat Author-X-Name-Last: Helmy Author-Name: Sherif Mazen Author-X-Name-First: Sherif Author-X-Name-Last: Mazen Author-Name: Amal Elgammal Author-X-Name-First: Amal Author-X-Name-Last: Elgammal Author-Name: M. Wagdy Youssef Author-X-Name-First: M. Wagdy Author-X-Name-Last: Youssef Title: Towards building a comprehensive big data management maturity framework Abstract: Profound insights are generated today from exploiting big data. However, organisations are still not recognising how mature their big data management capabilities are, and what improvements are needed. There is still no structured approach to assess the maturity of big data management capabilities. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. So, the main contribution of this article is conducting an analytical study on existing key works in assessing and building big data management capabilities, and upon, the main requirements for building a comprehensive big data management maturity framework are proposed. Results of validating the developed framework proved that it enabled organisations to assess, build, and improve their current big data management capabilities. Journal: Int. J. of Information and Decision Sciences Pages: 243-279 Issue: 3 Volume: 15 Year: 2023 Keywords: big data management maturity; big data management; big data management capabilities; big data capabilities; big data analytics capabilities; BDAC; big data analytics capabilities construct; big data maturity; big data maturity model; BDMM; big data maturity assessment; big data capabilities assessment. File-URL: http://www.inderscience.com/link.php?id=132826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijidsc:v:15:y:2023:i:3:p:243-279