Template-Type: ReDIF-Article 1.0
Author-Name: Shari De Baets
Author-X-Name-First: Shari De
Author-X-Name-Last: Baets
Title: Surveying forecasting: a review and directions for future research
Abstract:
How is forecasting doing in today's world? It is a question researchers have been asking for a long time. For half a century, we have been surveying practitioners, conference attendees, other academics, managers and high-level executives. From the introduction of forecasting in organisations onward, we have questioned technique use and familiarity, accuracy and evaluation methods, the place of forecasting within organisations and the hurdles and barriers that prevent forecasting from evolving as fast in practice as it does in academia. This paper summarises these findings and concludes with a number of recommendations for future surveys, as we will need to continue tracking the state of the art of forecasting practice. Recommendations includes surveying the analysts rather than the forecasting managers, using an international sample, focussing on process-oriented performance measures and looking into the barriers that prevent a more widespread adoption of sophisticated forecasting techniques.
Journal: Int. J. of Information and Decision Sciences
Pages: 111-126
Issue: 2
Volume: 13
Year: 2021
Keywords: forecasting survey; practitioners; forecast improvement.
File-URL: http://www.inderscience.com/link.php?id=116493
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:2:p:111-126

Template-Type: ReDIF-Article 1.0
Author-Name: Fahmi Bargui
Author-X-Name-First: Fahmi
Author-X-Name-Last: Bargui
Author-Name: Hanêne Ben-Abdallah
Author-X-Name-First: Hanêne
Author-X-Name-Last: Ben-Abdallah
Title: An ontology-based approach for automatic goal requirements engineering in data warehouse design
Abstract:
Goal-oriented approaches in data warehouse development projects still face two main issues. First, analysts often lack domain knowledge required during goal decomposition. This may lead to identifying erroneous requirements that most likely propagate to the remaining project phases, potentially leading to the project failure. Second, the identification of the data warehouse content from requirements is done manually by the designers in an error-prone process. In this paper, we address these two issues. We propose an ontology that formalises and automates the reasoning about decision-making knowledge, which allows analysts to compensate their lack of domain knowledge during goal decomposition. In addition, to demonstrate the feasibility of our proposal we present a semi-automatic process that assists the construction of the ontology. Furthermore, the proposed ontology ensures the traceability between both decision-making and data warehouse knowledge. Thanks to this traceability, we propose a set of rules that automatically derive a data warehouse schema from requirements specification.
Journal: Int. J. of Information and Decision Sciences
Pages: 143-165
Issue: 2
Volume: 13
Year: 2021
Keywords: decision support systems; data warehouse; data mart; requirements elicitation; multidimensional modelling; automatic reasoning; goal-oriented requirements engineering; ontology.
File-URL: http://www.inderscience.com/link.php?id=116494
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:2:p:143-165

Template-Type: ReDIF-Article 1.0
Author-Name: N. Prathviraj
Author-X-Name-First: N.
Author-X-Name-Last: Prathviraj
Author-Name: Santosh L. Deshpande
Author-X-Name-First: Santosh L.
Author-X-Name-Last: Deshpande
Title: Rough set-based quality of service optimisation guidelines with stack parameter in MANET
Abstract:
In mobile ad hoc network (MANET), providing a guaranteed service for packet delivery has to pass through several hurdles. Providing guaranteed service should address multiple quality of service (QoS) parameters under uncertain network conditions. The QoS parameters should be prioritised in consideration of MANET constraints and applications running on MANET. The QoS aspects of MANET are impacted by the multi-layer stack parameters. An analysis has been conducted to identify the trade-off point for configuring the stack parameters to achieve better QoS in packet delivery. The outcome of analysis is discussed in terms of packet error rate, energy efficiency, goodput and delay with the support of rough set theory (RST). The multi-objective analysis capabilities of RST make it suitable for taking dynamic decision to prioritise the QoS parameter. The rough set derived decision rules are filtered out based on probabilistic properties like strength, certainty and coverage of the decision rules.
Journal: Int. J. of Information and Decision Sciences
Pages: 127-142
Issue: 2
Volume: 13
Year: 2021
Keywords: mobile ad hoc network; MANET; quality of service; QoS; rough set theory; RST; rough set exploration system; RSES.
File-URL: http://www.inderscience.com/link.php?id=116498
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:2:p:127-142

Template-Type: ReDIF-Article 1.0
Author-Name: P. Vijaya
Author-X-Name-First: P.
Author-X-Name-Last: Vijaya
Author-Name: Satish Chander
Author-X-Name-First: Satish
Author-X-Name-Last: Chander
Author-Name: S.L. Gupta
Author-X-Name-First: S.L.
Author-X-Name-Last: Gupta
Title: Academic students' performance prediction model: an Oman case study
Abstract:
The education system in Oman attains a fast growth, and it requires effective standards to increase the number of graduates with quality education and with effective skills and knowledge. The higher education institutions (HEIs) in Oman are increasing in number, and it poses the need for graduates with world-level competing tendencies. Keeping these in mind, the proposed methodology proposes a novel method of predicting the academic performance of the students' enrolled in the universities of Oman. For predicting the academic performance of the students, the dragonfly optimisation-based deep belief network (DrDBN) is employed. The data is collected using the proper questionnaire session, and the best feature is selected based on the fuzzy-based entropy function. The training algorithm determines the optimal weight to the deep belief network (DBN) for predicting the best solution. The proposed method predicts the performance of the student in the semester exams and adopts a proper teaching standard to equally benefit the students of all grades, and also, the prediction strategy contributes a lot to the students to utilise their full potentials in the process of learning. The effectiveness of the proposed DrDBN is checked depending on the MSE and the RMSE metric values and is evaluated to be the best when compared to other existing techniques with low MSE value as 0.532, and low RMSE value as 0.026, respectively.
Journal: Int. J. of Information and Decision Sciences
Pages: 166-191
Issue: 2
Volume: 13
Year: 2021
Keywords: student performance prediction; dragonfly algorithm; fuzzy entropy; deep belief network; DBN; MSE.
File-URL: http://www.inderscience.com/link.php?id=116499
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:2:p:166-191

Template-Type: ReDIF-Article 1.0
Author-Name: Tubagus Mohammad Akhriza
Author-X-Name-First: Tubagus Mohammad
Author-X-Name-Last: Akhriza
Author-Name: Indah Dwi Mumpuni
Author-X-Name-First: Indah Dwi
Author-X-Name-Last: Mumpuni
Title: Quantitative class association rule-based approach to lecturer career promotion recommendation
Abstract:
This paper introduces an effective method for recommendation of career promotion for educators in universities. Given an educator with an activity profile currently in a certain career state, the system is able to recommend the next career state that is most suitable for the educator by learning the pattern of historical activities of other educators. The system also recommends activities and their volume that the educators should take in order to achieve the career state. Patterns of activities and their volume were obtained using the quantitative class-association rule mining method that classifies quantified activities to a next-state class. The experiment using educator career data taken from Indonesian universities produced several recommendations that were somewhat contrary to the opinions of experts about educators who can make a career leap, an indication that expert subjectivity was more dominant than a statistically more reliable recommendation system in making decisions.
Journal: Int. J. of Information and Decision Sciences
Pages: 192-217
Issue: 2
Volume: 13
Year: 2021
Keywords: association rule; career promotion; higher education; Indonesia; recommendation system.
File-URL: http://www.inderscience.com/link.php?id=116507
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:2:p:192-217

Template-Type: ReDIF-Article 1.0
Author-Name: Hsun-Ming Lee
Author-X-Name-First: Hsun-Ming
Author-X-Name-Last: Lee
Author-Name: Ju Long
Author-X-Name-First: Ju
Author-X-Name-Last: Long
Author-Name: Mayur R. Mehta
Author-X-Name-First: Mayur R.
Author-X-Name-Last: Mehta
Author-Name: Peiqin Zhang
Author-X-Name-First: Peiqin
Author-X-Name-Last: Zhang
Title: Health information exchange adoption: influences of public insurance programs
Abstract:
For many years, the US Government has pushed the adoption of health information exchange (HIE), which is a key to spur large-scale innovation in the healthcare delivery. As funding has diminished, healthcare managers need to assess the adoption incentivised by government programs. This study helps to get a better understanding of how the adoption is influenced by the factors associated with the policies regulated by public insurance programs: Medicare and Medicaid. Using the technology-organisation-environment (TOE) framework, we evaluate the health information exchange (HIE) adoption factors associate with policy implications. Based on a dataset integrated from data reported to the healthcare cost report information system and hospital comparison data, we conducted a logistic regression analysis to model the probability of HIE adoption as a function of TOE factors. Besides factors that affect hospital's technology adoption, such as hospital sizes and geographic locations, our research also revealed three significant HIE adoption factors not thoroughly examined before, including imaging efficiency, scale of outpatient departments, and payer mix. Our research could provide insights for practitioners and healthcare managers when examining the strategies associated with HIE adoption.
Journal: Int. J. of Information and Decision Sciences
Pages: 219-234
Issue: 3
Volume: 13
Year: 2021
Keywords: health information exchange; HIE; healthcare; technology adoption; TOE framework; public insurance.
File-URL: http://www.inderscience.com/link.php?id=118051
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:3:p:219-234

Template-Type: ReDIF-Article 1.0
Author-Name: Vimaladevi Madhivanan
Author-X-Name-First: Vimaladevi
Author-X-Name-Last: Madhivanan
Author-Name: Zayaraz Godandapani
Author-X-Name-First: Zayaraz
Author-X-Name-Last: Godandapani
Title: Technical debt reduction using epsilon-Nash equilibrium for the perturbed software refactor game model
Abstract:
Technical debt (TD) is a metaphor that is one of the reasons for software to become obsolete. The process of refactoring can be effectively applied to reduce the technical debt and the improvement of other vital quality attributes such as abstraction, inheritance and coupling. This paper discusses a refactoring model that can be applied for an object oriented software system for improved quality by applying the concepts of game theory. A multi-player perturbed software refactor game model is developed, that models inheritance, abstraction, coupling and the technical debt, as multiple players of the game. An optimal strategy for refactoring the source code is arrived by calculating the ε-Nash equilibrium of the perturbed game. The results attained are compared against the popular genetic algorithm (GA), artificial bee colony (ABC) and simulated annealing (SA) optimisation algorithms, taking three open source Java project samples.
Journal: Int. J. of Information and Decision Sciences
Pages: 275-295
Issue: 3
Volume: 13
Year: 2021
Keywords: refactoring; quality attributes; technical debt; game theory; epsilon-Nash equilibrium; multiplayer software game; trembling hand perfection.
File-URL: http://www.inderscience.com/link.php?id=118052
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:3:p:275-295

Template-Type: ReDIF-Article 1.0
Author-Name: T. Padma
Author-X-Name-First: T.
Author-X-Name-Last: Padma
Author-Name: S.P. Shantharajah
Author-X-Name-First: S.P.
Author-X-Name-Last: Shantharajah
Title: Evaluation of risk causing factors for the incidence of neck and shoulder pain in adolescents using fuzzy analytic hierarchy process
Abstract:
The incidence of neck and shoulder pain is recurrent in adolescents, constituting a large socioeconomic challenge and is responsible for substantial personal and social impacts; requiring intensive research to identify potential causes and their precedence in pain occurrence. This study's intent is to explore the prevalence of neck and shoulder pain among adolescents and to examine the risk factors associated with the hazard of the pain. Through knowledge engineering process, risk factors identified are physical-, psychological-, psychosocial-, behavioural-, emotional- and sedentary-related. A fuzzy analytic hierarchy process method is applied to prioritise the risk factors and determines its precedence in pain incidence among the adolescents, categorised based on their ages as early, middle and late adolescence group (between 10-17, 18-21 and 22-24 respectively). The results indicate that the middle adolescence category have a significantly greater chance for pain occurrence. The outcomes will support in decision making and planning for the youth's welfare.
Journal: Int. J. of Information and Decision Sciences
Pages: 254-274
Issue: 3
Volume: 13
Year: 2021
Keywords: adolescent health; neck and shoulder pain; knowledge engineering; domain experts; fuzzy analytic hierarchy process.
File-URL: http://www.inderscience.com/link.php?id=118053
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:3:p:254-274

Template-Type: ReDIF-Article 1.0
Author-Name: Shikha Gupta
Author-X-Name-First: Shikha
Author-X-Name-Last: Gupta
Author-Name: Nand Kumar
Author-X-Name-First: Nand
Author-X-Name-Last: Kumar
Title: Has globalisation reaped rewards? A fresh perspective from India
Abstract:
Using annual time series data from 1980-2015, the study aims to estimate the empirical relationship between India's trade, globalisation, and GDP growth. For this, ADF along with PP and KPSS techniques are used to establish stationarity. As there is evidence of cointegration, vector error correction model and DOLS estimations are used to adjudge the adjustment of variables. Wald test and Toda-Yamamoto Granger causality follow in analysis to investigate the short-run and the long-run causality, respectively. In order to assess the response path, variance decomposition and impulse response functions are created. Globalisation has a negative effect and trade bears a positive effect on economic growth. However, contrary to the perception of new growth theory, increasing trade and globalisation do not have an impact on the long-run economic growth. The novelty of the study lies in using an augmented version of KoF Index to avoid the problem of collinearity and more robust approach.
Journal: Int. J. of Information and Decision Sciences
Pages: 296-315
Issue: 3
Volume: 13
Year: 2021
Keywords: trade; globalisation; growth; openness; KoF Globalisation Index.
File-URL: http://www.inderscience.com/link.php?id=118054
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:3:p:296-315

Template-Type: ReDIF-Article 1.0
Author-Name: Manoj Mathew
Author-X-Name-First: Manoj
Author-X-Name-Last: Mathew
Author-Name: Santosh Kumar Patanwar
Author-X-Name-First: Santosh Kumar
Author-X-Name-Last: Patanwar
Author-Name: Sanjay Gupta
Author-X-Name-First: Sanjay
Author-X-Name-Last: Gupta
Author-Name: Taranjeet Sachdev
Author-X-Name-First: Taranjeet
Author-X-Name-Last: Sachdev
Title: Performance evaluation of arc welding processes for the manufacturing of pressure vessel using novel hybrid MCDM technique
Abstract:
Selection of welding process during the manufacturing of pressure vessel is conventionally done by the manufacturer depending upon his/her experience of welding process. This process ignores many conflicting criteria affecting the selection of best welding process. So, researchers have used MCDM techniques in the selection of the best welding process, in which subjective preferences having vagueness are given by the decision maker. Fuzzy set theory is effective in handling vagueness and subjectivity in the decision-making process, while best worst method (BWM) can be an alternative of analytical hierarchy process (AHP) as it requires less comparison. So, a novel hybrid fuzzy MCDM approach combining fuzzy AHP, BWM and fuzzy TOPSIS is proposed, which delivers reliable and robust solution. A numerical illustration with four welding alternative and seven evaluating criteria is solved. It is found that, submerged-arc welding is the best welding process for the manufacturing of pressure vessel.
Journal: Int. J. of Information and Decision Sciences
Pages: 235-253
Issue: 3
Volume: 13
Year: 2021
Keywords: multi-criteria decision making; MCDM; fuzzy AHP; fuzzy TOPSIS; best worst method; BWM; welding process evaluation.
File-URL: http://www.inderscience.com/link.php?id=118060
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:3:p:235-253

Template-Type: ReDIF-Article 1.0
Author-Name: Dimitrios Kokotos
Author-X-Name-First: Dimitrios
Author-X-Name-Last: Kokotos
Author-Name: Alkiviadis Kyriakakis
Author-X-Name-First: Alkiviadis
Author-X-Name-Last: Kyriakakis
Title: Decision making on sea: an expert system for risk assessment in maritime using data mining
Abstract:
This work proposes the prototyping implementation of a dynamic expert system. The essence is the proposal is prediction of ship accidents. The validation process is based on data collected from coast guard official investigation reports. A classifier based on C5 algorithm is able to work even in presence of limitations for real-world data (noisy, many missing attribute values, etc). C5 algorithm is used for building decision trees and the models are used in the knowledge acquisition and its representation. The optimal decision rules estimated the dependency of the most important predictor upon the target variable 'source of accidents'. The comparison between two time periods shows that accidents due to human error were reduced, a result in line with the IMO report. The resulting patterns can be used to gain insight into aspects of shipping safety and to predict outcomes for future situations as an aid to decision making.
Journal: Int. J. of Information and Decision Sciences
Pages: 365-380
Issue: 4
Volume: 13
Year: 2021
Keywords: classification algorithms; prediction; ship accident; maritime safety; decision trees; data mining; off-shore.
File-URL: http://www.inderscience.com/link.php?id=119372
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:365-380

Template-Type: ReDIF-Article 1.0
Author-Name: Maria De Fátima Teles
Author-X-Name-First: Maria De Fátima
Author-X-Name-Last: Teles
Author-Name: Jorge Freire De Sousa
Author-X-Name-First: Jorge Freire De
Author-X-Name-Last: Sousa
Title: Sustainable development and morphological analysis: a multi-level strategic planning for the transport sector
Abstract:
Societies face complex challenges, which require a harmonious transition to future patterns. A strategic response to reconfigure society should assure the provision of critical resources and the resilience of the socio-technical systems in the long-term. The implementation of a new dominant technology and paradigm in the transport context is a complex process: it is multidimensional, requires seamless integration of various features and entails trade-offs in the decision-making process. The authors use general morphological analysis (GMA) as a theoretical framework that supports decision making in the transition management of transport to a new powertrain technology. This example is just an illustration of a broader representation of all the possible solutions of a large-scale problem as it is the case of any multi-level process of governance, leading to the pursuit of new paradigms. The originality of the paper lies on using a GMA that addresses sustainable challenges in a transport system from a multi-level perspective.
Journal: Int. J. of Information and Decision Sciences
Pages: 350-364
Issue: 4
Volume: 13
Year: 2021
Keywords: sustainable development; multi-level process; transport; integrated decision-making; general morphological analysis; GMA.
File-URL: http://www.inderscience.com/link.php?id=119373
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:350-364

Template-Type: ReDIF-Article 1.0
Author-Name: Johanna Camargo-Perez
Author-X-Name-First: Johanna
Author-X-Name-Last: Camargo-Perez
Author-Name: Jairo R. Montoya-Torres
Author-X-Name-First: Jairo R.
Author-X-Name-Last: Montoya-Torres
Title: Multi-criteria location of multi-modal terminals in integrated public transport systems
Abstract:
A global trend worldwide in people transportation in urban areas is to integrate different transportation modes into the same network, so the needs of several stakeholders are considered. A key issue to solve is to identify the best possible locations of intermodal terminals. This paper proposes a methodology to solve such a problem, taken the City of Bogota, Colombia as an exemplary case study. The approach is evaluated in terms of efficiency and efficacy, so, the benefits of the application are highlighted. Although a case study is presented in this paper, the methodology can be generalised to be applied elsewhere helping the decision-making process.
Journal: Int. J. of Information and Decision Sciences
Pages: 335-349
Issue: 4
Volume: 13
Year: 2021
Keywords: people transportation; urban; location; case study; multi-criteria decision-making; MCDM.
File-URL: http://www.inderscience.com/link.php?id=119374
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:335-349

Template-Type: ReDIF-Article 1.0
Author-Name: Javier Arturo Orjuela-Castro
Author-X-Name-First: Javier Arturo
Author-X-Name-Last: Orjuela-Castro
Author-Name: Juan Pablo Orejuela-Cabrera
Author-X-Name-First: Juan Pablo
Author-X-Name-Last: Orejuela-Cabrera
Author-Name: Wilson Adarme-Jaimes
Author-X-Name-First: Wilson
Author-X-Name-Last: Adarme-Jaimes
Title: Perishable food distribution in the last mile: a multi-objective VRP model
Abstract:
The delivery of perishable food in mega cities is negatively affected by traffic congestion and long routes resulting into economic losses due to the perishability of fruit, high costs and tardy deliveries to business establishments located in districts. The perishable foods supply chains acting parties are compelled into making decisions on whether they must better their response time, maintain the quality or reduce their costs, in this sense, the necessity to establish models that contemplate various objectives arises. This article proposes a multi-objective model for the delivery within the last mile of a mega city exemplified in perishable fruits. Our proposal to manage perishability is that of continuous loss, to the extent that the amount of food that deteriorates it is proportional to the amount transported and to the time in which it is transported, which is also affected by the distance travelled, the average speed of travel, and the time spent at each stop, an approach not found in the literature review.
Journal: Int. J. of Information and Decision Sciences
Pages: 322-334
Issue: 4
Volume: 13
Year: 2021
Keywords: multi-objective VRP; perishable foods; fruits; traffic congestion in megacities; quality of foods.
File-URL: http://www.inderscience.com/link.php?id=119375
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:322-334

Template-Type: ReDIF-Article 1.0
Author-Name: Glykeria Myrovali
Author-X-Name-First: Glykeria
Author-X-Name-Last: Myrovali
Author-Name: Josep Maria Salanova Grau
Author-X-Name-First: Josep Maria Salanova
Author-X-Name-Last: Grau
Author-Name: Thanasis Gkoutzikas
Author-X-Name-First: Thanasis
Author-X-Name-Last: Gkoutzikas
Author-Name: Aristotelis Savvas
Author-X-Name-First: Aristotelis
Author-X-Name-Last: Savvas
Title: Low data intensive models for supporting taxi policy making: a case study in Cyprus
Abstract:
Taxi industries are present everywhere around the world providing door-to-door mobility services. The type of services and policies that apply to the taxi sector vary significantly from city to city, ranging from controlled environments with strong restrictions to open and more competitive markets. Decision makers responsible for taxi policy making are supported by economic models of the taxi sector in most cases. In some cases, the lack of available data does not allow for having such models and therefore decision making is based on assumptions, failing some times in establishing taxi services of quality. This paper presents a three-step methodology for defining solutions of Cypriot taxi industry. Based on the results of the abovementioned steps, the paper concludes with the development of alternative viability assessment methodologies for taxi industry and some proposals for the re-formation of taxi services including also pricing policies in Cypriot environment.
Journal: Int. J. of Information and Decision Sciences
Pages: 394-418
Issue: 4
Volume: 13
Year: 2021
Keywords: taxi industries; taxi modelling; modal split; Cyprus.
File-URL: http://www.inderscience.com/link.php?id=119376
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:394-418

Template-Type: ReDIF-Article 1.0
Author-Name: Iraklis Stamos
Author-X-Name-First: Iraklis
Author-X-Name-Last: Stamos
Author-Name: Evangelos Mitsakis
Author-X-Name-First: Evangelos
Author-X-Name-Last: Mitsakis
Author-Name: Josep Maria Salanova Grau
Author-X-Name-First: Josep Maria Salanova
Author-X-Name-Last: Grau
Author-Name: Maria Morfoulaki
Author-X-Name-First: Maria
Author-X-Name-Last: Morfoulaki
Author-Name: Kornilia Maria Kotoula
Author-X-Name-First: Kornilia Maria
Author-X-Name-Last: Kotoula
Title: Selection and assessment of pedestrian areas in urban environments: a model - and expert-opinion-based approach
Abstract:
Many cities worldwide have implemented pedestrian zones in the past years, as part of an effort to ease the impacts of congestion. However, as pedestrianisation directly affects traffic circulation, operation and accessibility, the issue of optimally selecting pedestrianisation areas within an urban road network is pivotal. The present paper applies a two-level optimisation method for identifying road links and axes within an urban road network, which, if selected for pedestrianisation aiming at improving the pedestrians LoS, would result in the minimum impacts on overall traffic and accessibility. The method is based on a unified network performance measure for calculating the criticality of network links. Outcomes of the proposed method are presented for a case study in Thessaloniki, Greece. Results are expressed in traffic-related performance measures (e.g., travel time). Road links for pedestrianisation are ranked and validated through a survey, targeted to experts and representatives of the responsible local governmental authority.
Journal: Int. J. of Information and Decision Sciences
Pages: 381-393
Issue: 4
Volume: 13
Year: 2021
Keywords: pedestrianisation; criticality; traffic impacts.
File-URL: http://www.inderscience.com/link.php?id=119377
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:381-393

Template-Type: ReDIF-Article 1.0
Author-Name: Ayfer Basar
Author-X-Name-First: Ayfer
Author-X-Name-Last: Basar
Title: The application of strategic alignment in a fuzzy environment: a case study in banking
Abstract:
As a natural consequence of rapid changes and high competition, companies have to determine right business and information technology (IT) strategies consistently to accomplish business value and IT flexibility. They also need to align their strategies and develop an appropriate roadmap in today's competitive environment. This study presents a new methodology to meet the banks' strategic alignment problem which can be defined hierarchically and solved in a top-down structure. For this aim, a method of aligning first business and IT strategies; then IT strategies and domains is proposed depending on the customer expectations and technological improvements. Expert judgments are collected in pairwise comparison with hesitant fuzzy linguistic term sets (HFLTS) for aligning and relatively weighting strategies and service domains. Proposed methodology is applied in a technology company of a big Turkish national bank. The results are approved by experts working as strategic managers in banks and technology companies.
Journal: Int. J. of Information and Decision Sciences
Pages: 70-84
Issue: 1
Volume: 13
Year: 2021
Keywords: strategic alignment; banking; information technology; pairwise comparison; HFLTS.
File-URL: http://www.inderscience.com/link.php?id=113595
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:70-84

Template-Type: ReDIF-Article 1.0
Author-Name: Dhyanadipta Panda
Author-X-Name-First: Dhyanadipta
Author-X-Name-Last: Panda
Title: Unorganised entrepreneurship and employment generation in India
Abstract:
Considering India's population growth and paucity of job opportunities, entrepreneurship is the only key to come out of the juncture of unemployment. Entrepreneurship may be in the organised or unorganised form. So far as engagement of workforce is concerned, unorganised sector in India outweighs the organised sector. But the unorganised sector fails to win the confidence of the stakeholders owing to its unsystematic approach and unavailability of regulatory framework. Due to this the stakeholders of this sector do not boast about their affiliation. This paper unfolds how the unorganised sector in India easily accommodate heavy workforce but with many gray areas. Case study method and in-depth interview method are followed to highlight the problem and focus group discussion is conducted to design a framework for win-win situation.
Journal: Int. J. of Information and Decision Sciences
Pages: 59-69
Issue: 1
Volume: 13
Year: 2021
Keywords: unorganised sector; entrepreneur; self-employment; contribution; challenges; India.
File-URL: http://www.inderscience.com/link.php?id=113596
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:59-69

Template-Type: ReDIF-Article 1.0
Author-Name: Debesh Mishra
Author-X-Name-First: Debesh
Author-X-Name-Last: Mishra
Author-Name: Suchismita Satapathy
Author-X-Name-First: Suchismita
Author-X-Name-Last: Satapathy
Title: SWARA approach for ranking of agricultural supply chain risks of Odisha in India
Abstract:
Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.
Journal: Int. J. of Information and Decision Sciences
Pages: 85-109
Issue: 1
Volume: 13
Year: 2021
Keywords: agricultural sector; supply chain; risks; ranking; SWARA; Odisha; India.
File-URL: http://www.inderscience.com/link.php?id=113597
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:85-109

Template-Type: ReDIF-Article 1.0
Author-Name: Akshay Hinduja
Author-X-Name-First: Akshay
Author-X-Name-Last: Hinduja
Author-Name: Manju Pandey
Author-X-Name-First: Manju
Author-X-Name-Last: Pandey
Title: Comparative study of MCDM methods under different levels of uncertainty
Abstract:
Often, data in MCDM problems are imprecise and changeable due to the mandatory participation of human judgement, which is often unclear and vague. Hence, the selection of an appropriate MCDM method is crucial to the optimal decision-making. All the MCDM methods are heavily affected by individual or group preferences and therefore even a small change in the data can cause rank-reversal. With the regular proliferation of such methods and their modifications, it is important to carry out a comparative study that provides comprehensive insight into their performances under uncertain conditions. In this paper, we use the Monte Carlo simulation approach to empirically compare the results of five well-known and widely applied MCDM methods, WSM, WPM, TOPSIS, GRA, and MULTIMOORA under different levels of uncertainty. The findings of this paper will assist decision-makers in the selection of most robust and reliable MCDM methods for different decision scenarios. The results of this research are significant additions to the current repository of knowledge in the multi-criteria decision analysis as well as the literature pertaining to the information systems. It also provides insights for many managerial applications of these MCDM methods.
Journal: Int. J. of Information and Decision Sciences
Pages: 16-41
Issue: 1
Volume: 13
Year: 2021
Keywords: multi-criteria decision-making; MCDM; comparative analysis; decision sciences; MCDM methods; Monte Carlo simulation; rank-reversal; rank-correlation; uncertainty.
File-URL: http://www.inderscience.com/link.php?id=113598
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:16-41

Template-Type: ReDIF-Article 1.0
Author-Name: Malik Haddad
Author-X-Name-First: Malik
Author-X-Name-Last: Haddad
Author-Name: David Sanders
Author-X-Name-First: David
Author-X-Name-Last: Sanders
Author-Name: Giles Tewkesbury
Author-X-Name-First: Giles
Author-X-Name-Last: Tewkesbury
Author-Name: Nils Bausch
Author-X-Name-First: Nils
Author-X-Name-Last: Bausch
Title: Integrating statistical correlation with discrete multi-criteria decision-making
Abstract:
This paper analyses two hypotheses that considers a correlation between the number of alternatives and the number of criteria considered in a multiple criteria decision-making (MCDM) problem with the minimum percentage change required in the lowest criterion weight to change the outcome of a method. Two MCDM methods are considered, the analytical hierarchy process (AHP) and the preference ranking organisation method for enrichment of evaluations II (PROMETHEE II) were applied to the same sets of criteria weights and performance measures. More than two thousand randomly generated sets of criteria weights and performance measures are considered. The minimum percentage change in the lowest criterion weight required to change the outcome of a method is calculated. Pearson's r parametric test is used to test the hypotheses. Results from parametric test were statistically significant and shows a weak negative correlation for Hypothesis 1 and weak positive correlation for Hypothesis 2.
Journal: Int. J. of Information and Decision Sciences
Pages: 1-15
Issue: 1
Volume: 13
Year: 2021
Keywords: multiple criteria decision-making; MCDM; AHP; PROMETHEE II; correlation; criteria; Pearson's r parametric test; statistical analysis.
File-URL: http://www.inderscience.com/link.php?id=113599
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:1-15

Template-Type: ReDIF-Article 1.0
Author-Name: Hoda Golshani
Author-X-Name-First: Hoda
Author-X-Name-Last: Golshani
Author-Name: Mohammad Khoveyni
Author-X-Name-First: Mohammad
Author-X-Name-Last: Khoveyni
Author-Name: Hadi Bagherzadeh Valami
Author-X-Name-First: Hadi Bagherzadeh
Author-X-Name-Last: Valami
Author-Name: Robabeh Eslami
Author-X-Name-First: Robabeh
Author-X-Name-Last: Eslami
Title: Performance evaluation in a two-stage network-DEA with intermediate products
Abstract:
The main difference between conventional data envelopment analysis (DEA) and network data envelopment analysis (NDEA) lies in the internal structure of a decision-making unit (DMU). Most of the existing NDEA methodologies neglect to address the issue of incorporating the influence of the intermediate, directly in the objective function. To overcome this shortcoming, in this paper, based on the feature of the SBM model, the researcher is setting an NSBM model for evaluating the overall efficiency score by using two steps in a generic two-stage structure. For this reason, firstly, the researcher solves an additive model (ADD) for finding the amount of the optimal value of the intermediate measures. While in the second step, in our modified NSBM model, the researcher has incorporated the optimal value of the objective function which is introduced. So, our sole contribution will be presenting a model for finding overall efficiency and calculating the unique value for stage efficiencies, input, the intermediate and output-oriented efficiency, which is an essential issue in the network research area. Finally, a numerical example of 30 US commercial banks from Chen et al. (2016) are provided for verifying our proposed approach.
Journal: Int. J. of Information and Decision Sciences
Pages: 42-58
Issue: 1
Volume: 13
Year: 2021
Keywords: data envelopment analysis; DEA; intermediate products; slack-based measure; SBM; efficiency; network data envelopment analysis; NDEA; two-stage; intermediate-oriented efficiency.
File-URL: http://www.inderscience.com/link.php?id=113600
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:42-58