Template-Type: ReDIF-Article 1.0
Author-Name: Amir Ahmad Dar
Author-X-Name-First: Amir Ahmad
Author-X-Name-Last: Dar
Author-Name: Zameer Gulzar
Author-X-Name-First: Zameer
Author-X-Name-Last: Gulzar
Author-Name: Ramesh A. Babu
Author-X-Name-First: Ramesh A.
Author-X-Name-Last: Babu
Author-Name: Layak Ali
Author-X-Name-First: Layak
Author-X-Name-Last: Ali
Author-Name: G. Shreedevi
Author-X-Name-First: G.
Author-X-Name-Last: Shreedevi
Title: Comparison: Taguchi method and full factorial design in WACC
Abstract:
To examine the effectiveness of two different experimental design techniques, Taguchi and full factorial design (FFD), in optimising the weighted average cost of capital (WACC). Several input variables, including total equity, total debt, tax rates, cost of debt, and cost of equity, have an impact on WACC. To set up trials and determine the optimal combination of these input elements for WACC, the Taguchi methodology was used. The Taguchi method is being applied for the first time to find the optimal combination for the cost of capital. The study uses the Taguchi L16 DOE, regression analysis, and the analysis of means (ANOM), all of which are carried out using the MINITAB 18 Software, to examine the effects of various input components. The experiment's results show that the Taguchi method and the FFD produce comparable performance results.
Journal: Int. J. of Intelligent Enterprise
Pages: 300-315
Issue: 3
Volume: 11
Year: 2024
Keywords: Taguchi method; full factorial design; weighted average cost of capital; WACC; analysis of means; ANOM; regression.
File-URL: http://www.inderscience.com/link.php?id=139777
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Handle: RePEc:ids:ijient:v:11:y:2024:i:3:p:300-315

Template-Type: ReDIF-Article 1.0
Author-Name: Ajay Kumar
Author-X-Name-First: Ajay
Author-X-Name-Last: Kumar
Author-Name: Devender Singh Punia
Author-X-Name-First: Devender Singh
Author-X-Name-Last: Punia
Title: Selection of performance parameter for optimisation of availability of industrial system using particle swarm optimisation
Abstract:
Today automation has become the necessity of a highly reliable industrial system which leads to the use of highly complex systems. In the present paper the performance modelling of complex multi-state system of industrial system for optimisation of availability is analysed using particle swarm optimisation (PSO). The steady state analysis (SSA) and transient state analysis (TSA) is done using Markov mathematical modelling. The decision support system for the considered system for repair priority of subsystem is presented for increasing the availability of system. The selection of various failure and repair rate for maximisation of availability is done using PSO. It is observed that the results obtained by PSO are beneficial for deciding the optimised failure rate as well as repair rate for maximum availability of system thus the increase in availability and decrease in failure rates decrease the overall cost of production.
Journal: Int. J. of Intelligent Enterprise
Pages: 274-299
Issue: 3
Volume: 11
Year: 2024
Keywords: availability; particle swarm optimisation; PSO; maintenance; decision support system; failure rate; repair rate; steady state analysis; SSA; transient state analysis; TSA.
File-URL: http://www.inderscience.com/link.php?id=139782
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Handle: RePEc:ids:ijient:v:11:y:2024:i:3:p:274-299

Template-Type: ReDIF-Article 1.0
Author-Name: Sharada Prasad Sahoo
Author-X-Name-First: Sharada Prasad
Author-X-Name-Last: Sahoo
Author-Name: Biswajit Prasad Chhatoi
Author-X-Name-First: Biswajit Prasad
Author-X-Name-Last: Chhatoi
Author-Name: Suman Kalyan Chaudhury
Author-X-Name-First: Suman Kalyan
Author-X-Name-Last: Chaudhury
Title: Factor exploration for creating an agile workforce: an Indian experience
Abstract:
In this paper, an attempt has been made to explore the factors that describe the concept of an agile workforce. By analysing the responses obtained through a structured questionnaire from 318 managers from cross-functional industries, the factor exploration was made by deploying <i>exploratory factor analysis</i>. The findings of the study reveal that the five factors of agile strategy, structural agility, agile process, agile capability and agile technology were found significant. It is found that the influence of technology on workforce agility has been perceived differently concerning the degree of experience possessed by professionals. The respondents' perception of structure as a contributor to agility is influenced by their level of educational attainment. Similarly, the impact of technology on agility has been influenced by the experience possessed by the executives.
Journal: Int. J. of Intelligent Enterprise
Pages: 203-222
Issue: 3
Volume: 11
Year: 2024
Keywords: workforce agility; innovation; competitive advantage; factor analysis.
File-URL: http://www.inderscience.com/link.php?id=139789
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Handle: RePEc:ids:ijient:v:11:y:2024:i:3:p:203-222

Template-Type: ReDIF-Article 1.0
Author-Name: Supriya Roy
Author-X-Name-First: Supriya
Author-X-Name-Last: Roy
Author-Name: Ram Naresh Roy
Author-X-Name-First: Ram Naresh
Author-X-Name-Last: Roy
Title: Appraising and overcoming the barriers of RFID implementation in a process industry in New Zealand
Abstract:
Radio-frequency identification (RFID) technology is widely used in manufacturing and service industries to track inventory in transit, asset control and improve the overall supply chain. For example, RFID is used to track the product's location down the assembly line in the automobile and pharmaceutical industries. This paper explores the possibility of implementing RFID in a glass processing plant via mobile platforms (PC or smartphone apps) for searching customer ordered glasses through the various stages in the plant. It also examines how RFID can help reduce the time and cost spent on glass reworks, leading to increased profitability and customer satisfaction. Finally, the paper also explores the potential barriers to implementing RFID in a 'glass production plant' in New Zealand.
Journal: Int. J. of Intelligent Enterprise
Pages: 1-20
Issue: 1
Volume: 11
Year: 2024
Keywords: radio-frequency identification; RFID; EPC; glass processing; supply chain; delivered in full on time; DIFOT; barcodes; implementation constraints.
File-URL: http://www.inderscience.com/link.php?id=135439
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:1-20

Template-Type: ReDIF-Article 1.0
Author-Name: Aveek Basu
Author-X-Name-First: Aveek
Author-X-Name-Last: Basu
Author-Name: Sraboni Dutta
Author-X-Name-First: Sraboni
Author-X-Name-Last: Dutta
Author-Name: Rohini Jha
Author-X-Name-First: Rohini
Author-X-Name-Last: Jha
Title: An innovative model on intention to adopt cloud-based ERP among SMEs
Abstract:
Enterprise resource planning (ERP) is an integrated suite of business application which ensures end to end delivery of all operational processes effectively and efficiently. Cloud ERP has recently gained significant impetus with the advent of cloud technology and organisations are showing substantial interests due to various advantages. End user acceptance plays a significant role in successful implementation of ERP systems and is a key factor in cloud ERP adoption by SMEs. Several studies are performed on ERP models which are dealing with acceptance. However, each model has some limitations and the current research on Indian SMEs deals with a hybrid framework which considers vital constructs of established models. The research work strives to explore the predictors of cloud ERP adoption. The findings will provide guidelines to SMEs of developing economies planning to adopt cloud-based ERP and cloud vendors can ameliorate their business strategies as per adoption intricacies found in study.
Journal: Int. J. of Intelligent Enterprise
Pages: 33-56
Issue: 1
Volume: 11
Year: 2024
Keywords: enterprise resource planning; cloud ERP; adoption intention; innovation; technology-organisation-environment; TOE; resistance; small and medium enterprises; SMEs.
File-URL: http://www.inderscience.com/link.php?id=135440
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:33-56

Template-Type: ReDIF-Article 1.0
Author-Name: Alisa Ableeva
Author-X-Name-First: Alisa
Author-X-Name-Last: Ableeva
Author-Name: Guzel Salimova
Author-X-Name-First: Guzel
Author-X-Name-Last: Salimova
Author-Name: Almira Farrahetdinova
Author-X-Name-First: Almira
Author-X-Name-Last: Farrahetdinova
Author-Name: Aigul Galimova
Author-X-Name-First: Aigul
Author-X-Name-Last: Galimova
Author-Name: Gulnara Gabidullina
Author-X-Name-First: Gulnara
Author-X-Name-Last: Gabidullina
Author-Name: Elina Galimova
Author-X-Name-First: Elina
Author-X-Name-Last: Galimova
Title: A balanced scorecard system as a character of the enterprise's financial stability
Abstract:
The paper aimed to study a balanced scorecard (BSC) characterising the enterprise's stability from the perspective of compliance of its actual economic situation with future strategic goals. Based on indicative approach and using the provisions and approaches of the fuzzy sets theory, the integrated evaluation of level of achievement of BSC benchmarks of the enterprise was carried out. The scientific novelty of this study resides in the possibilities that the application of new tools (fuzzy sets theory, integrated evaluations) provides for monitoring both current and future performance indicators of an enterprise. The obtained results designate that proposed methodology can be applied in practice. The most significant its advantages incorporate the aggregation of criteria of varying nature, ability to calculate preliminary totals for different groups of indicators, possibility of making forecasts and managerial decisions based on results gained, and ability to assess expected economic condition of the enterprise through the BSC.
Journal: Int. J. of Intelligent Enterprise
Pages: 21-32
Issue: 1
Volume: 11
Year: 2024
Keywords: strategy; financial stability; balanced scorecard; BSC; integrated evaluation.
File-URL: http://www.inderscience.com/link.php?id=135441
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:21-32

Template-Type: ReDIF-Article 1.0
Author-Name: Sumit Mor
Author-X-Name-First: Sumit
Author-X-Name-Last: Mor
Author-Name: Saveena Solanki
Author-X-Name-First: Saveena
Author-X-Name-Last: Solanki
Author-Name: Vikas Dhull
Author-X-Name-First: Vikas
Author-X-Name-Last: Dhull
Title: An intelligent pesticide screening strategy using screen-printing technology
Abstract:
In the present era, agriculture and industrialisation are very necessary to support an exponentially growing population. However, along with this it has also adverse effects on the environment. It is necessary to monitor environmental containments so that risk to human life can be minimised. For this, sensors are fabricated using intelligent strategies to monitor toxic compounds for environmental management. So, in present work, compounds for environmental management. So, in this present work, organophosphorus compounds. Nanoparticles were synthesised and analytical tools were used for characterisation. Intelligent screen-printed gold electrode was modified by layering paste mixture of nanoparticles and c-SWCNTs to form ZnO NPs/c-SWCNTs/SPAuE. Acetylcholinesterase was immobilised onto electrode. Cellulose acetate was applied to prevent enzyme from leaching and electrode fouling. It was tested to detect presence of organophosphorus in samples. This intelligent strategy can also be used for detection of other containments in food, dye removal, heavy metals and medical applications.
Journal: Int. J. of Intelligent Enterprise
Pages: 57-72
Issue: 1
Volume: 11
Year: 2024
Keywords: intelligent; sensor; screening; environment; analytical tool.
File-URL: http://www.inderscience.com/link.php?id=135442
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:57-72

Template-Type: ReDIF-Article 1.0
Author-Name: Nishtha Agarwal
Author-X-Name-First: Nishtha
Author-X-Name-Last: Agarwal
Author-Name: Nitin Seth
Author-X-Name-First: Nitin
Author-X-Name-Last: Seth
Author-Name: Ashish Agarwal
Author-X-Name-First: Ashish
Author-X-Name-Last: Agarwal
Title: Study of Indian sector selection problem amidst coronavirus disruption: an AHP approach
Abstract:
As China's position in the market weakens due to the coronavirus disease, supply chain managers are looking for alternatives to safeguard their businesses. India, with its strategic location, infrastructure and growing economy poses a great option. Several industry sectors in India are performing exceptionally well and can tap into the opportunity and showcase their prowess in stabilising the disruptions caused in the global supply chains. However, more investments are required for the development of these sectors to meet the global demand. The challenge that lies with the government is to prioritise sectors for investments. The present study aims at creating a decision-making framework using analytical hierarchy process (AHP) to solve this problem. The three-layer AHP framework, through pairwise comparisons, aims at identifying the sector on which the government should focus its investments upon based upon various performance parameters. The results from AHP depict that the pharmaceutical sector should be given priority in terms of investments for its development followed by chemical, agriculture, aquaculture and textile sector.
Journal: Int. J. of Intelligent Enterprise
Pages: 73-84
Issue: 1
Volume: 11
Year: 2024
Keywords: analytical hierarchy process; AHP; sector selection; India; disruptions; global supply chains.
File-URL: http://www.inderscience.com/link.php?id=135445
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:73-84

Template-Type: ReDIF-Article 1.0
Author-Name: Varadaraj Aravamudhan
Author-X-Name-First: Varadaraj
Author-X-Name-Last: Aravamudhan
Author-Name: Ananth Sengodan
Author-X-Name-First: Ananth
Author-X-Name-Last: Sengodan
Author-Name: M. Prasanna Mohan Raj
Author-X-Name-First: M. Prasanna Mohan
Author-X-Name-Last: Raj
Title: A study on the 'futuristic aspect' of transforming the organisations towards 'sustainable practises'
Abstract:
Sustainability is already becoming progressively crucial in modern organisations, and it could help businesses succeed now and in the future. Incorporating environmental, societal, and policy interests within company choices is a critical component of sustainable construction. Because sustainable development is a continual process instead of a single action, decision-makers should be able to assess the present status of an organisation. To do the same, we will show how businesses might shape the area of activity for something like the transition to sustainability. In addition, the researcher has developed a selection tool to estimate whether sustainability activities should indeed be carried out in compliance with the valuation strategic management function, that is, considering their financial ramifications. This is crucial to note, nevertheless, that sustainable performance can be achieved by such a single company (or, for just that point, the whole corporate sector) acting alone. If we are to satisfy today's modern demands while jeopardising future generations' infrastructure to accommodate their requirements, ecological sustainability is a widespread idea where just about every actor in the international economy (especially governments and companies) must agree.
Journal: Int. J. of Intelligent Enterprise
Pages: 85-102
Issue: 1
Volume: 11
Year: 2024
Keywords: transformation of organisation; organisation.
File-URL: http://www.inderscience.com/link.php?id=135453
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Handle: RePEc:ids:ijient:v:11:y:2024:i:1:p:85-102

Template-Type: ReDIF-Article 1.0
Author-Name: S.P. Udhayakumar
Author-X-Name-First: S.P.
Author-X-Name-Last: Udhayakumar
Author-Name: M. Sivasubramanian
Author-X-Name-First: M.
Author-X-Name-Last: Sivasubramanian
Title: Impact of demographic attributes on requirement elicitation and quality software development
Abstract:
Requirements elicitation, which involves working closely with stakeholders to identify the current needs of a product and establishing a shared vision and goals for a project, is a crucial stage in software development. Many experts concur that when requirements are incorrect, incomplete, or confusing, it can negatively impact software projects' quality, cost, and timely delivery. Problems of understanding relate to poor comprehension of requirements within and between groups, such as users and developers. Requirements engineering (RE) is a crucial practice that involves understanding and identifying the needs of customers, users, and stakeholders to develop systems and software that are highly likely to satisfy those needs. Since software project failures are often difficult to predict, enhancing the efficiency of requirements gathering can greatly contribute to the success of a project. It is crucial to comprehend the challenges in collecting requirements and enable the implementation of suitable preventative measures to overcome, avoid, or tackle them in a manner that minimises their adverse impact on the overall project achievement. To overcome these challenges and accurately identify stakeholders' needs, various processes for requirements elicitation have been proposed in the literature.
Journal: Int. J. of Intelligent Enterprise
Pages: 317-334
Issue: 4
Volume: 11
Year: 2024
Keywords: requirement elicitation; software quality management; requirement engineering; stakeholders; communication skills; software development; requirement quality; global software development; written communication.
File-URL: http://www.inderscience.com/link.php?id=141869
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Handle: RePEc:ids:ijient:v:11:y:2024:i:4:p:317-334

Template-Type: ReDIF-Article 1.0
Author-Name: Edwin Ramirez-Asis
Author-X-Name-First: Edwin
Author-X-Name-Last: Ramirez-Asis
Author-Name: Giovani Villegas-Ramirez
Author-X-Name-First: Giovani
Author-X-Name-Last: Villegas-Ramirez
Author-Name: Nilda Barrutia-Montoya
Author-X-Name-First: Nilda
Author-X-Name-Last: Barrutia-Montoya
Author-Name: Carlos Huerta-Soto
Author-X-Name-First: Carlos
Author-X-Name-Last: Huerta-Soto
Author-Name: Carlos Enrique Fernández-López
Author-X-Name-First: Carlos Enrique
Author-X-Name-Last: Fernández-López
Title: Early warning and alluvial risk perception of Peruvian business intelligent owners systems
Abstract:
The study's primary goal was to assess if business owners in Huaraz consider the early warning system at Palcacocha Lagoon effective in mitigating alluvial risks. Intelligent business systems and risk perception are closely interconnected. The former refers to the use of knowledge in a systematic way to achieve certain objectives. At the same time, the latter involves using innovative approaches to carry out tasks in ways that differ from conventional methods. Based on a survey involving 513 business owners in the Quilcay River's alluvial zone, it is suggested that 20 elements across four dimensions are appropriate for evaluating acceptability levels. Similarly, the assessment of risk perception involves 16 questions spread over three dimensions. The normality of the data was checked using the Kolmogorov-Smirnov test, which showed a p-value of 0.05, indicating that the data does not follow a normal distribution. Further analysis using Spearman's Rho produced a coefficient of 0.769, highlighting significant findings at a p-value of 0.000. This analysis reveals a strong correlation between the perception of alluvial risks and adopting early warning systems among business owners near the Palcacocha lagoon in Huaraz City.
Journal: Int. J. of Intelligent Enterprise
Pages: 335-353
Issue: 4
Volume: 11
Year: 2024
Keywords: alluvial risk; early warning system; business owners; Palcacocha Lagoon; White Mountain Range; business intelligent systems; larger businesses; conventional methods.
File-URL: http://www.inderscience.com/link.php?id=141874
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Handle: RePEc:ids:ijient:v:11:y:2024:i:4:p:335-353

Template-Type: ReDIF-Article 1.0
Author-Name: K.S. Suryanarayana
Author-X-Name-First: K.S.
Author-X-Name-Last: Suryanarayana
Author-Name: V.S. Prasad Kandi
Author-X-Name-First: V.S. Prasad
Author-X-Name-Last: Kandi
Author-Name: Ashok Botta
Author-X-Name-First: Ashok
Author-X-Name-Last: Botta
Title: Expiration day effect on the Nifty Futures volume and price: an empirical evidence
Abstract:
The research article delves into the impact of expiration day on Nifty Futures trading volume and prices. This comprehensive study spans from January 2021 to January 2023, employing the EGARCH framework alongside various diagnostic tests such as the Augmented Dickey-Fuller (ADF) test, ARCH test, normality test, and serial correlation test for data analysis. The findings of this investigation illuminate the profound influence of expiration day on market dynamics. Expiration day introduces an element of uncertainty and heightened volatility into the market, thereby stimulating increased trading activity and consequential price fluctuations in Nifty Futures. Notably, traders exhibit a distinct tendency to adjust their positions based on their market sentiment and outlook, further contributing to the fluctuations in Nifty Futures prices. This study underscores the significance of considering expiration day's influence on the Nifty Futures market. Traders and investors are urged to recognise and account for the unique dynamics surrounding expiration day when making judgments and decisions. A thorough understanding of these effects can empower market participants to navigate the Nifty Futures market more effectively and make informed choices in response to the dynamic shifts triggered by expiration day events.
Journal: Int. J. of Intelligent Enterprise
Pages: 375-395
Issue: 4
Volume: 11
Year: 2024
Keywords: expiration day; Nifty Futures; EGARCH; stationarity check; turnover; Augmented Dickey-Fuller; ADF; Indian National Stock Exchange; opportunities for profit.
File-URL: http://www.inderscience.com/link.php?id=141875
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Handle: RePEc:ids:ijient:v:11:y:2024:i:4:p:375-395

Template-Type: ReDIF-Article 1.0
Author-Name: Sathvika Rudrakumar
Author-X-Name-First: Sathvika
Author-X-Name-Last: Rudrakumar
Author-Name: Rajasekaran Venkatraman
Author-X-Name-First: Rajasekaran
Author-X-Name-Last: Venkatraman
Title: Hybridisation as organisational design in visuals on 'Fortes' advertisement: a semiotic analysis
Abstract:
Advertising is the most important marketing strategy to promote products to consumers. The world is witnessing a boom in automobile industries with e-vehicle and CNG advancement. Different modes or types of delivering messages to consumers or audiences are equally essential. The paper examines automobile print advertisements to determine how the advertising sector seeks to secure its targeted goal of urging and influencing the audience through the semiotic lens. The major finding is determining how the sign language system operates through the visuals portrayed. The paper explores decoding the semiotics theory and uncovering the hidden meanings in selected advertisements. The study inspects the connotative and denotative interpretations included in the image. These advertisements are subjected to a comprehensive examination, which includes both descriptive content analysis and pictorial analysis as the approach for this study. The study analysed a number of advertising, and one of the most important representations that was found in those advertisements was hybridisation.
Journal: Int. J. of Intelligent Enterprise
Pages: 354-374
Issue: 4
Volume: 11
Year: 2024
Keywords: automobile advertisements; pictorial analysis; organisational designing; sign language; signifier and signified; connotative and denotative; semiotics; Kia Motors; animals; print advertisements; magazine ads.
File-URL: http://www.inderscience.com/link.php?id=141877
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Handle: RePEc:ids:ijient:v:11:y:2024:i:4:p:354-374

Template-Type: ReDIF-Article 1.0
Author-Name: Ope Destrian
Author-X-Name-First: Ope
Author-X-Name-Last: Destrian
Author-Name:  Sudarma
Author-X-Name-First: 
Author-X-Name-Last: Sudarma
Title: The influence of leaders' digital literacy on SMEs' digital transformation in Indonesia
Abstract:
The significance of digital transformation for small and medium-sized enterprises (SMEs), especially in times of disruption, is frequently demonstrated by research. Nevertheless, not much consideration has been placed on how SMEs undergo digital transformation. This study examines how SMEs' digital transformation will be affected by leaders' digital literacy utilising survey data from 276 SMEs in Indonesia. According to our research, leaders' digital literacy affects digital transformation through digital tool utilisation. Additionally, the features of leaders (such as age, educational level, and gender) further influence the association between leaders' digital literacy and digital tool utilisation. Our work is among initial endeavours to assess SMEs' digital transformation in an emerging country such as Indonesia. The description of how leaders' digital literacy affects SME digital transformation through digital tool utilisation is an extension that contributes to the literature on digitalisation.
Journal: Int. J. of Intelligent Enterprise
Pages: 396-419
Issue: 4
Volume: 11
Year: 2024
Keywords: Indonesia; small and medium-sized enterprises; SMEs; leader's individualities; digital literacy; digital transformation; DGT.
File-URL: http://www.inderscience.com/link.php?id=141878
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Handle: RePEc:ids:ijient:v:11:y:2024:i:4:p:396-419

Template-Type: ReDIF-Article 1.0
Author-Name: Sudhir Kumar
Author-X-Name-First: Sudhir
Author-X-Name-Last: Kumar
Author-Name: P.C. Tewari
Author-X-Name-First: P.C.
Author-X-Name-Last: Tewari
Author-Name: Anish Kumar Sachdeva
Author-X-Name-First: Anish Kumar
Author-X-Name-Last: Sachdeva
Title: Decision support system for maintenance order priority of multistate coal handling system with hot redundancy
Abstract:
This paper describes newly developed decision support system for maintenance order priority which is an essential requirement to maintain excellent maintenance operations. It also discusses the performability evaluation of coal handling system of a coal-based thermal power plant using the stochastic petri nets (SPN) technique. A licensed version of petri GRIF-predicates software was used for the modelling purpose. The performability in long-term availabilities of the different subsystems is obtained by varying failure and repair rates (FRR) in permissible ranges during performance modelling of plant. Based upon the performability matrices the maintenance order priorities of subsystems were predicted. The present paper examines the impact of varying failure and repair rates of subsystems on the performance behaviour and performability of coal handling system. Further, the effect of varying the repair facilities available on the performability of whole system is also evaluated. From the performability matrices, it has been observed that crushers are the most critical subsystems which drastically affect the overall performability of system. The critical study would help the maintenance engineers to plan for allocation of repair facilities for the different subsystems in advance based upon the severity of their failure.
Journal: Int. J. of Intelligent Enterprise
Pages: 103-119
Issue: 2
Volume: 11
Year: 2024
Keywords: performability analysis; decision support system; DSS; Petri-Nets; coal handling system; stochastic petri nets; SPN; failure and repair rates; FRR.
File-URL: http://www.inderscience.com/link.php?id=137672
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Handle: RePEc:ids:ijient:v:11:y:2024:i:2:p:103-119

Template-Type: ReDIF-Article 1.0
Author-Name: K. Kirthan Shenoy
Author-X-Name-First: K. Kirthan
Author-X-Name-Last: Shenoy
Author-Name: Divya Tyagi
Author-X-Name-First: Divya
Author-X-Name-Last: Tyagi
Title: Unmanned aircraft system safety, security, and regulation in urban aviation ecosystems
Abstract:
A small flying object breaks away from the flock of birds over the blue sky, navigating independently. Unmanned aircraft systems (UAS), or drones, as they are commonly referred to, have become common phenomena flying over people and property. Their growing presence in civilian airspace has prompted authorities worldwide to establish national regulations, including the international civil aviation organisation, which is working to create a UAS ecosystem that is standardised and regulated. The fast expansion of UAS worldwide has resulted in several legal and ethical concerns related to using UAS. Discussion is required regarding the issues of the rights of individuals on the ground, the safety of life and property, rogue unmanned aerial systems, and the requirement for standardised operating rules. The role that UAS will play and the policy direction they should follow worldwide will be determined by the lessons learnt from the framework of manned aviation, together with active consultation with stakeholders.
Journal: Int. J. of Intelligent Enterprise
Pages: 157-175
Issue: 2
Volume: 11
Year: 2024
Keywords: unmanned aircraft systems; UAS; drones; privacy; safety; data protection; security; counter UAS system; unmanned aircraft system traffic management; urban aviation ecosystems.
File-URL: http://www.inderscience.com/link.php?id=137679
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Handle: RePEc:ids:ijient:v:11:y:2024:i:2:p:157-175

Template-Type: ReDIF-Article 1.0
Author-Name: Vijay Prakash Sharma
Author-X-Name-First: Vijay Prakash
Author-X-Name-Last: Sharma
Author-Name: Surya Prakash
Author-X-Name-First: Surya
Author-X-Name-Last: Prakash
Author-Name: Ranbir Singh
Author-X-Name-First: Ranbir
Author-X-Name-Last: Singh
Author-Name: Bharti Ramtiyal
Author-X-Name-First: Bharti
Author-X-Name-Last: Ramtiyal
Title: Diffusion of Industry 4.0 technologies in logistics: learning from past and future direction
Abstract:
The proposed research work contributes toward the analysis of various technologies of Industry 4.0 (I4.0) relevant to logistics management (LM). The study presents a holistic view of I4.0.T diffusion in LM and is intended to provide an assessment of the current literature work. The internet of things (IoT) is the most prominent technology under the umbrella of technologies in I4.0 contributing toward efficient and speedy last-mile delivery (LMD). The review article examines the progress of the research area over the past 11 years and highlights the technological requirements and challenges that the introduction of I4.0 is facing for LM. This will help researchers and industries assess the influence of I4.0.T to make logistics services more efficient, reliable, and risk-free in the changing 21st century. This review paper will present the current scenario of technological advancement in the field of logistics and provide future research directions.
Journal: Int. J. of Intelligent Enterprise
Pages: 176-202
Issue: 2
Volume: 11
Year: 2024
Keywords: Industry 4.0 technologies; logistics management; last-mile delivery; LMD; internet of things; IoT; artificial intelligence.
File-URL: http://www.inderscience.com/link.php?id=137681
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Handle: RePEc:ids:ijient:v:11:y:2024:i:2:p:176-202

Template-Type: ReDIF-Article 1.0
Author-Name: Ayush Goel
Author-X-Name-First: Ayush
Author-X-Name-Last: Goel
Author-Name: Gurudev Sahil
Author-X-Name-First: Gurudev
Author-X-Name-Last: Sahil
Title: An analysis of policy prospective of taxi aggregators and consumers in digital eco-system
Abstract:
The term 'digital trade' is becoming more prevalent in the modern era. Newer company structures have evolved to replace traditional methods with online companies as digitalisation has become the standard. Taxi aggregators are one of the most prevalent digital business concepts. With this particular model, which is now known as taxi aggregators, you may quickly book a cab using your smartphone for transportation inside and outside the city limits. They are also inexpensive to use. Nevertheless, as lawmakers created new and revised rules to control these business models, the last two years have been very difficult for application-based taxi providers like Ola and Uber. The regulations are being developed by legislators in several nations, but the pace and the scope are much slower than necessary. This essay will examine past and present taxi market scenarios before suggesting ways to enhance them in the future.
Journal: Int. J. of Intelligent Enterprise
Pages: 120-140
Issue: 2
Volume: 11
Year: 2024
Keywords: taxi-aggregator; intermediaries; sharing-economy; digital business model; e-commerce; motor vehicle rules 2020; product liability; data confidentiality; consumer protection act 2019; online software system; innovative technology.
File-URL: http://www.inderscience.com/link.php?id=137685
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Handle: RePEc:ids:ijient:v:11:y:2024:i:2:p:120-140

Template-Type: ReDIF-Article 1.0
Author-Name: Silas Muzorewa
Author-X-Name-First: Silas
Author-X-Name-Last: Muzorewa
Author-Name: A. Telukdarie
Author-X-Name-First: A.
Author-X-Name-Last: Telukdarie
Title: Machine learning to predict the field reliability of electric steam irons
Abstract:
The purpose of this research is to apply machine learning methods to predict field reliability of household electromechanical appliances. The scope of household electro-mechanical appliances was narrowed down to include only electric steam irons. The research approach involved data collection, data exploration, selection of a machine learning technique, model training, model performance evaluation, and performance improvement. Using physical, performance, and reliability data, we trained a Naïve Bayes model to predict the field reliability of steam irons. The highest prediction accuracy achieved was 78%. To evaluate the discrimination ability of the prediction model, we performed receiver operating characteristic (ROC) analysis, which yielded an average area under curve (AUC) of 0.86. Our proposed method allows industry practitioners to evaluate the field reliability of new electromechanical appliances using limited data in a timeous and cost-effective manner. The method presented solely utilises the design and performance features of an appliance to predict field reliability.
Journal: Int. J. of Intelligent Enterprise
Pages: 141-156
Issue: 2
Volume: 11
Year: 2024
Keywords: reliability prediction; electromechanical appliances; household appliances; Naïve Bayes; NB.
File-URL: http://www.inderscience.com/link.php?id=137686
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Handle: RePEc:ids:ijient:v:11:y:2024:i:2:p:141-156

Template-Type: ReDIF-Article 1.0
Author-Name: S. Santha Kumari
Author-X-Name-First: S. Santha
Author-X-Name-Last: Kumari
Author-Name: M. Nagalakshmi
Author-X-Name-First: M.
Author-X-Name-Last: Nagalakshmi
Author-Name: Srinivasa Rao Angati
Author-X-Name-First: Srinivasa Rao
Author-X-Name-Last: Angati
Title: A study on perceptions of students on intelligent virtual learning environment during and post COVID-19
Abstract:
Most nations implemented an emergency lockdown during the COVID-19 epidemic in 2020, which dramatically impacted all aspects of employment and social contact for everyone. During the pandemic, almost all physical classes are cancelled and started through virtual mode in all educational institutions. Along with other fields, education faced many difficulties due to this COVID-19. This paper's key objective is to know various college students' perceptions about studying through virtual mode. The learning and teaching communities valued students' viewpoints, and the questions in the online survey were meant to aid in understanding students' learning experiences and perceptions of the online delivery form. To know students' opinions, the researcher conducted a small survey through a semi-structured questionnaire made with Google Forms. Students and most faculties were new to this virtual mode and needed some training. In this survey, the opinions are collected from 230 students and used statistical tools for analysis. Analytical papers investigate all questions and develop inferences from the outcomes. The literature has tried to understand students' views of virtual learning and identify success factors.
Journal: Int. J. of Intelligent Enterprise
Pages: 223-247
Issue: 3
Volume: 11
Year: 2024
Keywords: post COVID-19; e-learning; electronic learning; internet; online platforms; perceptions; students; virtual learning; intelligent virtual learning environment; education landscape; teaching communities.
File-URL: http://www.inderscience.com/link.php?id=139745
File-Format: text/html
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Handle: RePEc:ids:ijient:v:11:y:2024:i:3:p:223-247

Template-Type: ReDIF-Article 1.0
Author-Name: Deepti Patnaik
Author-X-Name-First: Deepti
Author-X-Name-Last: Patnaik
Author-Name: N.V. Jagannadha Rao
Author-X-Name-First: N.V. Jagannadha
Author-X-Name-Last: Rao
Author-Name: Brajabandhu Padhiari
Author-X-Name-First: Brajabandhu
Author-X-Name-Last: Padhiari
Author-Name: Srikanta Patnaik
Author-X-Name-First: Srikanta
Author-X-Name-Last: Patnaik
Title: Optimised hybrid CNN bi-LSTM model for stock price forecasting
Abstract:
Financial markets are considered the backbone of a country's economy. This article focuses on the stock price forecasting using deep learning models. Here, a hybrid model, i.e., convolutional neural network, bidirectional long short-term memory network has been proposed and its parameters are optimised by self-adaptive multi-population elitist JAYA algorithm. Stock prices of more than 13 years of various challenging stock exchanges of the globe such as: Standard & Poor 500, NIFTY 50, Nikkei 225, Dow Jones are used here for analysis purposes. The performance parameters such as root mean square error, mean absolute percentage error and mean absolute error are used for analysing the model. The proposed hybrid model is also compared with state-of-art models and it is found that this proposed model out performs the existing models.
Journal: Int. J. of Intelligent Enterprise
Pages: 248-273
Issue: 3
Volume: 11
Year: 2024
Keywords: forecasting; convolutional neural network; bidirectional long short-term memory; LSTM; hybrid model; evolutionary computation; SAMPE Jaya algorithm; RMSE; MAE.
File-URL: http://www.inderscience.com/link.php?id=139747
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Handle: RePEc:ids:ijient:v:11:y:2024:i:3:p:248-273