Search results

1 – 8 of 8
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 14 February 2025

Parveen Kumar, Ratnesh Kumar Raj Singh and Satish Kumar Sharma

Owing to its leverage of high deposition rate, the wire arc additive manufacturing (WAAM) process is being adopted for the development of IN718 alloy used in aerospace…

11

Abstract

Purpose

Owing to its leverage of high deposition rate, the wire arc additive manufacturing (WAAM) process is being adopted for the development of IN718 alloy used in aerospace, transportation and energy sectors. The purpose of this study is to observe the effect of process parameters on the mechanical properties of the IN718 superalloy.

Design/methodology/approach

This study emphasizes the effect of WAAM process parameters on mechanical and metallurgical properties of developed multilayer structures of IN718 alloy by means of orthogonally designed experiments.

Findings

The results show that high current and voltage settings, combined with low welding speed, provide increase bead width, height and effective wall area, while resulting in decrease surface waviness, hardness and tensile properties. The scanning electron microscopy and energy dispersive spectroscopy results show the presence of secondary precipitates such as NbC and Ni3(Al, Ti) in low-heat samples, which improve the mechanical properties of the material. However, the presence of Laves phases deteriorates the mechanical properties in high-heat samples. The electron backscatter diffraction results confirmed the presence of more grain boundaries and highly textured surfaces in lower heat samples, which improves mechanical properties.

Originality/value

The effect of process parameters on the microstructural features and mechanical properties along with bead characteristic are studied in-depth and influence of each parameter are discussed.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

Access Restricted. View access options
Article
Publication date: 3 August 2020

Ratnesh Kumar, K. Chandrashekhar Iyer and Surya Prakash Singh

In construction management, risks and claims are treated separately, but several studies tacitly acknowledge a strong link between the two. In this context, this research intends…

433

Abstract

Purpose

In construction management, risks and claims are treated separately, but several studies tacitly acknowledge a strong link between the two. In this context, this research intends to investigate whether risks and claims have a causal relationship? Based on this causal relationship, a claim-based risk assessment model (C-RAM) is developed to quantify occurrences and cost implications of risks using project data.

Design/methodology/approach

First, the causal relationship between risks and claims is established through a conceptual framework for content analysis of the literature on risk management (RM) and claim management (CM). Then, a C-RAM is developed based on the content analysis of 234 claims from 24 settled arbitration awards.

Findings

Risks and claims are found to be two stages in the same chain of uncertain events that affect projects, subsequently revealing a causal relationship between risks and claims. Due to this causal relationship, claim documents become a potential source of risk information from past projects. Proposed C-RAM quantifies occurrences of risks with three parameters: number of projects in which a risk occurs, number of ways in which a risk occurs, and number of claims a risk causes if it occurs. Also, cost implications of risks are quantified as percentage of contract sums for interpretation as tangible values.

Research limitations/implications

Though C-RAM is applicable to all types of claims, the results in this paper are based on impacts of risks in past projects that caused claims and reached to arbitration stage.

Practical implications

The causal relationship between risks and claims will encourage integration of knowledge on RM and CM which is currently treated separately. Practitioners can now visualize claims as cost implications of risks that occurred in projects. Further, C-RAM makes risk assessment (RA) more objective by quantifying the cost implications of risks as percentage of contract sums which can be readily used for contingency estimation.

Originality/value

The relationship between risks and claims, and the potential of claim documents as a source of project risk information, can initiate a new paradigm in RM research based on project data.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 4
Type: Research Article
ISSN: 0969-9988

Keywords

Access Restricted. View access options
Article
Publication date: 13 September 2019

Guru Prasad Bhandari, Ratneshwer Gupta and Satyanshu Kumar Upadhyay

Software fault prediction is an important concept that can be applied at an early stage of the software life cycle. Effective prediction of faults may improve the reliability and…

315

Abstract

Purpose

Software fault prediction is an important concept that can be applied at an early stage of the software life cycle. Effective prediction of faults may improve the reliability and testability of software systems. As service-oriented architecture (SOA)-based systems become more and more complex, the interaction between participating services increases frequently. The component services may generate enormous reports and fault information. Although considerable research has stressed on developing fault-proneness prediction models in service-oriented systems (SOS) using machine learning (ML) techniques, there has been little work on assessing how effective the source code metrics are for fault prediction. The paper aims to discuss this issue.

Design/methodology/approach

In this paper, the authors have proposed a fault prediction framework to investigate fault prediction in SOS using metrics of web services. The effectiveness of the model has been explored by applying six ML techniques, namely, Naïve Bayes, Artificial Networks (ANN), Adaptive Boosting (AdaBoost), decision tree, Random Forests and Support Vector Machine (SVM), along with five feature selection techniques to extract the essential metrics. The authors have explored accuracy, precision, recall, f-measure and receiver operating characteristic curves of the area under curve values as performance measures.

Findings

The experimental results show that the proposed system can classify the fault-proneness of web services, whether the service is faulty or non-faulty, as a binary-valued output automatically and effectively.

Research limitations/implications

One possible threat to internal validity in the study is the unknown effects of undiscovered faults. Specifically, the authors have injected possible faults into the classes using Java C3.0 tool and only fixed faults are injected into the classes. However, considering the Java C3.0 community of development, testing and use, the authors can generalize that the undiscovered faults should be few and have less impact on the results presented in this study, and that the results may be limited to the investigated complexity metrics and the used ML techniques.

Originality/value

In the literature, only few studies have been observed to directly concentrate on metrics-based fault-proneness prediction of SOS using ML techniques. However, most of the contributions are regarding the fault prediction of the general systems rather than SOS. A majority of them have considered reliability, changeability, maintainability using a logging/history-based approach and mathematical modeling rather than fault prediction in SOS using metrics. Thus, the authors have extended the above contributions further by applying supervised ML techniques over web services metrics and measured their capability by employing fault injection methods.

Details

Data Technologies and Applications, vol. 53 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

Access Restricted. View access options
Article
Publication date: 12 May 2021

Prateek Pandey and Ratnesh Litoriya

The purpose for writing this article is derived from the misery and chaos prevalent in the world due to the coronavirus pandemic – since late 2019 and still continuing as of…

400

Abstract

Purpose

The purpose for writing this article is derived from the misery and chaos prevalent in the world due to the coronavirus pandemic – since late 2019 and still continuing as of December 2020.

Design/methodology/approach

A blockchain-based solution to verify the country visit trail and disease and treatment history of the passengers who arrive at the immigration counters located at various national borders and entry points is proposed. A fuzzy inference based suspect identifier system is also presented in this article that could be utilized to make further decisions based on the degree of suspicion observed on a particular passenger.

Findings

This paper attempted to put forth a blockchain-based system which consumes the healthcare and visit trail summary of a passenger (appearing for an interview before an immigration officer) and forwards it to a fuzzy inference system to reach to a conclusion that the passenger should be advised to self-quarantine, detained, or should be allowed to enter. Such a system would help to make correct decisions at the immigration counters to check pandemic diseases, like COVID-19, right at the entry points.

Research limitations/implications

The implications of this work are manifold. First, the proposed framework works independent of the type of pandemic and is a readymade tool to check the spread of disease through infected human carriers. Second, the proposed framework will keep the mortality rates under check, which would give ample time for the authorities to save the lives of the people with co-morbidities and age vulnerabilities (Vichitvanichphong et al., 2018). Third, it is a general phenomenon to restrict the flights from the country where the first few cases of infection are discovered; however, the infected person, at the same time, might travel through alternative routes. The blockchain-enabled proposed framework ensures the detection of such cases at no other cost. Finally, the solution may appear costly in the first place, but it has the potential to hold back the revenue of the countries that would otherwise be spent on reactive measures.

Originality/value

As of now no other study or research article provides the solution to the biggest problem persists in the world in this way. The contribution is original and worth applying.

Details

Information Technology & People, vol. 34 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Access Restricted. View access options
Article
Publication date: 1 February 2016

Punita Saxena, Ratnesh R. Saxena and Deepak Sehgal

Data envelopment analysis (DEA) is a non-parametric technique of computing efficiencies of decision-making units using similar set of inputs to give similar set of outputs. The…

482

Abstract

Purpose

Data envelopment analysis (DEA) is a non-parametric technique of computing efficiencies of decision-making units using similar set of inputs to give similar set of outputs. The objective is to pick out inefficient units from a data set of similar units and thus analyse their performance amongst their peer group. Stock markets can be considered to be an economy’s barometer. Thus, evaluation of efficiency effectiveness of the companies operating at stock exchange is a valuable exercise. Further, if the inefficient units can be given a benchmark for improvement, they can increase their market value. The purpose of this paper is to evaluate the efficiencies of the Oil, Gas and Power (OGP) sector of India for the companies that form a part of the CNX Energy Index and CNX 500 Index of the National Stock Exchange of India.

Design/methodology/approach

A group of 24 units has been included in the study. DEA was applied for ranking the units as per their efficiency levels by computing their technical, pure technical and scale efficiencies (SE). It was observed that only nine units are efficient and the remaining 15 were inefficient. It was observed that ONGC is the most efficient unit and CESC Ltd is the least efficient unit in this group. Also in this group there are ten units that show inefficiency due to their scales of operations. Further, benchmarking for the inefficient units has also been done in terms of inputs/outputs and the targets are suggested. It was observed that some of the Public Sector Companies like NTPC are using more inputs compared to the other units from the same group for achieving the same efficiency.

Findings

The present study attempted a limited objective of establishing the technical, pure technical and scale inefficiencies of the companies operating in OGP sector in India and listed on National Stock Exchange with the help of the non-parametric technique of DEA and suggesting how they can strive to improve their performance. It is observed that 37.5 per cent are technically efficient as well as scale efficient, whereas 62.5 per cent are pure technically efficient. There are 42 per cent companies representing approximately half of the output and more than half of the input that have scale inefficiencies characterized by their PTE less than SE. Out of the efficient companies, ONGC appears to be the best whereas Essar Oil has a comparatively lower rank. Out of the inefficient companies, the worst performer is CESC Ltd. However, inspite of being the worst performer, this unit does not have the worst benchmarking targets. The units like Sterlite technologies and KSK energy ventures need to improve their profit by almost 1,000 per cent. These kind of targets are very difficult to attain. Hence these units need to improve their scale of operation. The managers of these units must take up this issue seriously and take measures to improve their productivity. The study also attempted benchmarking where various inefficient units have been suggested targets they need to scale to improve their efficiency. If addressed, they can have micro as well as macro benefits.

Research limitations/implications

In the present paper, the analysis is restricted only to the OGP sector of Indian economy. The study can be further extended to various other sectors of Indian economy such as agriculture, telecommunications etc. This would help in the holistic analysis of the economy. The flag bearer efficient units would set up a benchmark for the improvement to the inefficient units that would help improve the developing economy of India.

Originality/value

An increase in productivity is the most crucial management objective for any industry. Assessing the performance of companies listed and traded in stock market is imperative for investors and financial managers. Researchers have widely studied the performance evaluation of listed companies. Establishing efficiency of stock markets as a whole as well as of the constituent companies has been subject of wide research, but to the understanding no study has been done on evaluating the efficiencies of the OGP sector of India. In the present study the authors have concentrated on companies, out of the universe of energy companies operating in India, which form part of the CNX Energy Index and CNX 500 Index of the National Stock Exchange of India. The reason is that they represent the Indian energy market pretty well.

Details

Benchmarking: An International Journal, vol. 23 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Access Restricted. View access options
Article
Publication date: 21 November 2024

Rajesh Kumar Sharma, Sukhpreet Kaur and Amit Mittal

Transformational leadership has attained immense attraction in contemporary research for its positive contribution in implementation of Education 4.0. Drawing on social bond…

33

Abstract

Purpose

Transformational leadership has attained immense attraction in contemporary research for its positive contribution in implementation of Education 4.0. Drawing on social bond theory and employee stewardship theory, this study aims to examine the mediating roles of employee engagement and organisational citizenship behaviour between transformational leadership and Education 4.0 in higher educational institutions.

Design/methodology/approach

Data was collected through survey questionnaire by using three-wave time lagged study design from regular faculty members of Indian higher educational institutions. Hayes Process Macro was used for testing the parallel mediation model.

Findings

Transformational leadership has a positive and significant impact on Education 4.0. The results of this study indicate that employee engagement and organisational citizenship behaviour partially mediate the relationship between transformational leadership and Education 4.0. Furthermore, the analysis explains that employee engagement and organisational citizenship behaviour leveraged under transformational leadership act as parallel mediators, and there is no statistical difference between them.

Originality/value

To the best of the authors’ knowledge, this study is first in itself to consider more than one factor influencing the relationship between transformational leadership and Education 4.0, thus making ground for parallel mediation. This study addresses the urgent call by United Nations for achieving Sustainable Development Goals (SDGs) by ensuring quality education (SDG 4) and reducing inequality (SDG 10), thereby giving peaceful and strong intuitions (SDG 16).

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Access Restricted. View access options
Article
Publication date: 23 January 2024

Rajesh Kumar Sharma and Sukhpreet Kaur

The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education…

549

Abstract

Purpose

The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education 4.0 in higher educational institutes using the PLS-SEM approach.

Design/methodology/approach

The study uses cross-sectional and quantitative approach to decode the relationship amongst the variables. Purposive non-probability sampling technique was used to select the sample size for the study.

Findings

The research findings reveal that transformational leadership has a significant and positive effect on education 4.0. Further, it also indicates that the organisational citizenship behaviour in the study served as a mediating variable between transformational leadership and education 4.0, explaining 40% of the effect of transformational leadership on education 4.0. This highlights the importance of transformational leaders in creating a conducive environment that encourages employees to exhibit organisational citizenship behaviour, thereby facilitating the successful adoption and integration of education 4.0.

Originality/value

The authors recognise a research gap in the existing literature that focusses on the direct effects of transformational leadership on education 4.0 in higher educational institutes of management. Also, there is a lack of inclusive studies that explore the mediating mechanisms through which transformational leadership affects education 4.0, predominantly the role of organisational citizenship behaviour. Thus, this study is first in itself to explore the inter relationship between transformational leadership, organisational citizenship behaviour and education 4.0.

Details

International Journal of Educational Management, vol. 38 no. 2
Type: Research Article
ISSN: 0951-354X

Keywords

Access Restricted. View access options
Article
Publication date: 23 March 2023

Deepmalya Datta, Manoj Joshi and Meenakshi Gandhi

The purpose of this study is to explore the principal research query and whether strategic foresight deployed by entrepreneurial firms in energy transition aims at crafting future…

287

Abstract

Purpose

The purpose of this study is to explore the principal research query and whether strategic foresight deployed by entrepreneurial firms in energy transition aims at crafting future readiness.

Design/methodology/approach

With a focus on entrepreneurial firms working in the alternative energy segment in the Indian context, the intent is to examine the deployment of strategic foresight by incumbent firms and their entrepreneurial journey. The authors have adopted the approach of Eisenhardt for this research. The area of interest for the authors entailing strategic foresight by entrepreneurial firms in energy transition aligns with defining features reflecting the aim of Eisenhardt method for this exploratory research coupled with constructivism.

Findings

While the future scenarios in the energy sector have to be necessarily multiple, their alignment with different geographic, economic, demographic and political outlooks shall be defined by the pathways niched through the deployment of strategic foresight for arriving at those scenarios.

Research limitations/implications

Strategic foresight deployed by entrepreneurial firms has the potential to create future readiness through self-reliant sustainable economic value chains for local populace, thus propagating holistic development in remote regions.

Originality/value

This paper attempts to knit together the domains of strategic foresight, entrepreneurial firms and energy transition through case research and present the future thinking deployed for navigation in uncharted pathways by capturing the foresight component of these incumbent firms chosen through careful case selection. The narrative has been strengthened by the varied interviews across participants and the observations made by the authors during the research work.

1 – 8 of 8
Per page
102050