Dr. Rashmi Srinivasaiah | Visvesvaraya Technological University (original) (raw)

Papers by Dr. Rashmi Srinivasaiah

Journal of Scientometric Research, 2021

The study aims to investigate lean manufacturing from a bibliometric perspective. A systematic an... more The study aims to investigate lean manufacturing from a bibliometric perspective. A systematic analysis was performed on 1893 documents extracted from the Clarivate Analytics Web of Science (WoS) Collection under the "Lean Manufacturing" (LM) subject category between 1970 to 2020. The R programming is utilized for determining the evolution and progress of lean through the topmost contributing publications, authors, journals, and countries. The network representation is performed using VOS viewer, highlighting the focus areas of LM with co-occurrence, co-citation, and bibliographical coupling of the extracted data. The results indicate LM was initially focused predominantly on topics such as lean thinking and organizational performance by various authors. Later, the LM topic was integrated with six sigma, sustainability, and environmental assessments for overall process improvements. The major contributors in this research area are the United States of America and India. The study attempts to fully comprehend LM, its application, and trends to promote further research.

Emerald (MCB UP), Dec 6, 2021

<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:t... more <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>A thorough review of the literature identifies three different categories of research articles: "factor identification" articles, "QMP implementation" articles, "scale development" articles, and "influence of QMP on various organizational and employees-related factors" articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.</jats:p></jats:sec>

International Journal of Engineering Applied Sciences and Technology, 2021

International Journal of Quality Engineering and Technology, 2019

In developing countries like India, the level of awareness about quality management practices (QM... more In developing countries like India, the level of awareness about quality management practices (QMP) in small and medium enterprises (SMEs) has increased recently. This study attempts to develop and validate a QMP scale for manufacturing SMEs. Using Pareto analysis vital QMP factors were identified and questionnaire was administered to 750 SMEs with 68.5% response rate. In order to extract and validate the latent factors, exploratory factor analysis coupled with confirmatory factor analysis was used. Further, structural equation modelling (SEM) was deployed for determining interrelationships of extracted factors. This resulted in seven-QMP factors with R = (0.50-0.81) and R-squared values ranged between 0.23-0.66 representing the variation in 35 items. The study contributes to QMP literature, by bestowing empirical data on QMP factors which are more appropriate for manufacturing SMEs. Though the study was conducted in Indian SMEs context, the research outcomes may be applicable for general manufacturing firms with slight modifications.

Background: Nowadays Quality of Work Life is drawing more importance globally, organizations are ... more Background: Nowadays Quality of Work Life is drawing more importance globally, organizations are facing many issues related to human resource of which, employee stability is one of the major problem and addressing it is a top most priority. Amongst various reasons for employee stability the Quality of Work Life is one among them. Quality of work Life is a multidimensional construct and it has been influenced by many variables. Objective: To develop a valid and reliable scale by considering the significant dimensions of Quality of Work Life of employees in Mechanical Manufacturing Small and Medium sized Enterprises (SMEs) in Karnataka, India Methodology: A survey using a questionnaire was conducted among 1092 employees working in Mechanical Manufacturing SMEs. The data collected was subjected to principal component factor analysis with varimax rotation using SPSS16. Results and conclusion: The following nine significant dimensions were identified based on factor analysis: Work enviro...

Journal of Intelligent Manufacturing and Special Equipment, 2022

PurposeThe purpose of this research is to discover equipment losses and assess the accomplishment... more PurposeThe purpose of this research is to discover equipment losses and assess the accomplishment of overall equipment effectiveness (OEE) values.Design/methodology/approachIndustries specialized in die shops often have issues regarding their efficiencies, conferring to statistics further production line department procedure for various machines frequently suffered restrictions owing to excessive downtime and speed losses in machines thus, reducing their effectiveness and efficiency. OEE is a means of determining how effective a piece of equipment is when in working condition. Calculation of OEE finds the heart of the issue and the root cause for the underlying problem.FindingsThe dimensional outcomes suggest that the average machine effectiveness has not attained the norm of >85%, but there is still room for progression.Originality/valueOne recommended procedure to reduce losses is to keep the actual pace of operation and downtime of equipment constant. Many such suggestions are...

The Journal of Solid Waste Technology and Management

At present, factors such as growth in population, economic development, urbanization and improved... more At present, factors such as growth in population, economic development, urbanization and improved standard of living increase the quantity and complexity of generated Municipal Solid Waste. The different approaches for developing models for forecasting municipal solid waste generation have been classified into conventional and non-conventional or artificial intelligence models. While the conventional models include sample survey, system dynamics, econometric models, time series analysis, factor driven models and multiple linear regression models, the non-conventional models include artificial neural networks, Fuzzy logic models and Adaptive Neuro Fuzzy Inference System models. In this review, various factors considered for modelling, locations of study, sources of data and various studies conducted by researchers have been tabulated in detail for identifying the major factors and models used in developed and developing countries. Non-conventional models are being preferred because o...

International journal of quality and realibility management, 2021

Purpose-The present study analyzes the research articles linking quality management practices (QM... more Purpose-The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL. Design/methodology/approach-The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL. Findings-A thorough review of the literature identifies three different categories of research articles: "factor identification" articles, "QMP implementation" articles, "scale development" articles, and "influence of QMP on various organizational and employees-related factors" articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature. Research limitations/implications-To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically. Practical implications-This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees. Originality/value-This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.

Brazilian journal of operations & production management

Goal: Quality of Work Life (QWL) draws more attention in the present context, and it is a multidi... more Goal: Quality of Work Life (QWL) draws more attention in the present context, and it is a multidimensional construct. The oil and gas industries have realized the significance of employees' QWL to retain and attract a talented workforce in the competitive job market. This study examines the status of QWL of employees in the LPG Bottling Industry. Design / Methodology / Approach: A measuring scale was designed and validated to evaluate the employees QWL working in the LPG bottling plant. The data for the study was gathered from 435 employees working in four LPG bottling industries. Using Exploratory Factor Analysis (EFA), predominant components of QWL are identified. With the Confirmatory Factor Analysis (CFA), the designed scale is validated. With percentage analysis and chi-square analysis, the data was analyzed, and meaningful inferences were drawn. Results: EFA and CFA resulted in four components of QWL with 19 items representing superior model fit. The model fit indices ...

Osong Public Health and Research Perspectives, 2021

As the world grapples with the problem of the coronavirus disease 2019 (COVID-19) pandemic and it... more As the world grapples with the problem of the coronavirus disease 2019 (COVID-19) pandemic and its devastating effects, scientific groups are working towards solutions to mitigate the effects of the virus. This paper aimed to collate information on COVID-19 prediction models. A systematic literature review is reported, based on a manual search of 1,196 papers published from January to December 2020. Various databases such as Google Scholar, Web of Science, and Scopus were searched. The search strategy was formulated and refined in terms of subject keywords, geographical purview, and time period according to a predefined protocol. Visualizations were created to present the data trends according to different parameters. The results of this systematic literature review show that the study findings are critically relevant for both healthcare managers and prediction model developers. Healthcare managers can choose the best prediction model output for their organization or process managem...

Proceedings on Engineering Sciences, 2021

Journal of Scientometric Research

International Journal for Quality Research

Quality Management Practices (QMP) has evolved as a management philosophy with a claim to improve... more Quality Management Practices (QMP) has evolved as a management philosophy with a claim to improve organizational performance. The oil and gas industries have realized the importance of quality to compete and survive in unpredictable market arena. This paper examines the extent of QMP implementation in Oil and Gas sector. Around 52% of the respondents of oil and gas sector opinioned that QMP is implemented. Based on the literature seven QMP factors with 60 items were considered for the study, through the Exploratory Factor Analysis (EFA) 32 items were extracted based on the item loading more than 0.5. Further, these factors were validated by Confirmatory Factor analysis (CFA) using Structural Equation Modeling (SEM). This resulted in five important factors with 31 items indicating good model fit with fit indices all above acceptable range (chi-square statistics was 246.158 with CMIN 1.399, GFI = 0.929, AGFI = 0.907, NFI = 0.902, IFI = 0.968, CFI = 0.967, TLI = 0.961 and RMSEA = 0.037). The five factor QMP measurement model was tested for discriminant and convergent validity. The study reveals that age, educational qualification of employees; nature of job and nature of activities carried out are significantly associated, while gender and experience are not associated with the level of QMP implementation. The results of this paper provide guidance for managers and practitioners in oil and gas sector to implement the proposed 5 factor QMP model (Top management commitment, Employee involvement, Training and Development, Customer focus, Supplier Quality Management) in a systematic way to enhance organizational performance.

The purpose of this paper is to identify different components that can help to determine the effe... more The purpose of this paper is to identify different components that can help to determine the effect of study findings and to identify different methodologies as well. To clarify the extent of the study on the impact assessment of funded initiatives in various countries, a systematic literature review is carried out. Methodology: It is important to consider the effects of scientific findings to achieve value for the resources spent in science and technology. A systematic literature review (SLR) is carried out to gain a detailed understanding of the different literature available in the area of assessment of the search results of the projects funded. A total of 72 papers are collected from Google scholars to perform the SRL, which are screened according to the requirements for inclusion and exclusion. Further 20 papers, primarily focusing on two study fields, namely the academic and health care industries, are accepted. The 20 papers chosen are mapped accordingly based on the market, country of origin, variables, and approaches used by different authors. Conclusion: To determine the most significant variables commonly used by numerous writers in their studies, a systematic literature review is undertaken. The methodologies used by writers in their studies are also identified in this study. This paper can also be used by other researchers to describe in their studies the components and methodologies commonly used. Originality/Value: The current research assists policymakers in making decisions on which components to examine when assessing funded initiatives that improve the effects, quality, and productivity in the higher educational sectors, and there has been relatively limited research in this field.

Faculty of Engineering, University of Kragujevac, 2021

Quality of Work-life (QWL) has gained wide attention from various researchers in the recent decad... more Quality of Work-life (QWL) has gained wide attention from various researchers in the recent decade. It is the means for attracting and retaining a talented workforce by providing a conducive and humanized working environment. The present study analyzes the level of QWL in manufacturing Small and Medium Enterprises (SMEs) located in and around Bangalore city. Further, the research attempts to investigate the association between QWL with demographical characteristics. The data were collected using structured questionnaires consisting of general information and questions about nine QWL factors with 49 items. The structured questionnaire was administrated to 750 employees, and the responses were analyzed using statistical software. The research findings revealed that all the demographic factors were significantly associated with QWL.

An optimal level of autonomation is essential to ensure a continuous improvement in quality and p... more An optimal level of autonomation is essential to ensure a continuous improvement in quality and productivity along with the reduction of costs. This paper applies Low Cost Automation (LCA) technique for minimizing human intervention and to increase productivity. Manual assembly is characterized by high labour cost and low capital cost while the automated assembly has low labour cost but high capital cost due to the use of expensive automation equipments. Recent advancement of automation technology has led to higher productivity at low cost which has increased the relevance of automation in manufacturing sector. This switch from normal assembly to automated assembly is essentially characterized by a trade-off between high labour costs and capital costs. Despite the advent of technology and the recent studies in this field, a full-fledged automated system is not necessarily the most viable option with regard to cost, quality and productivity. On the other hand, a completely manual system is fraught with similar drawbacks. Thus, the paper emphasizes the effect of LCA for the A-PUMP assembly line in order to critically analyse various operations using lean principles and LCA in order to reduce human interference and enhance effectiveness and efficiency of the assembly line.

The existing critical safety system components are identified in the Major Hazardous Industries i... more The existing critical safety system components are identified in the Major Hazardous Industries in Karnataka state, India. A questionnaire containing 53 questions of various safety engineering system parameters was designed and distributed to 1300 employees and feedback data, from 1029 employees in 22 major hazardous industries in Karnataka, is collected for this study. The data collected was subjected to Exploratory factor analysis to identify the critical safety systems (factors) based on weightage and Eigen values. Structural Equation Modelling is used to test the constructs for both measurement and structural model simultaneously. In this study, variance based SEM namely PLS-SEM is carried out using 'R' software. This study strongly established the prominent critical safety systems components influencing the safety status and their significance on safety engineering systems in MHIs.

Training and development (T&D) is vital strategic tool for augmenting performance of employee and... more Training and development (T&D) is vital strategic tool for augmenting performance of employee and organization. The main objective of this study is to examine the effectiveness of T&D on employees' in private bank located in Bengaluru city, Karnataka State. For this purpose, structured questionnaire was prepared by considering five components of T&D and it was administered to 55 employees of a selected private bank. The collected data was analyzed using descriptive and inferential statistics methods such as: percentage analysis, chi-square test and ANOVA using Minitab respectively. The reliability coefficient , Cronbach alpha was 0.89 for 16 items and results of ANOVA showed strong correlation between five T&D components considered for the research study.

Journal of Scientometric Research, 2021

Emerald (MCB UP), Dec 6, 2021

International Journal of Engineering Applied Sciences and Technology, 2021

International Journal of Quality Engineering and Technology, 2019

Journal of Intelligent Manufacturing and Special Equipment, 2022

The Journal of Solid Waste Technology and Management

International journal of quality and realibility management, 2021

Brazilian journal of operations & production management

Osong Public Health and Research Perspectives, 2021

Proceedings on Engineering Sciences, 2021

Journal of Scientometric Research

International Journal for Quality Research

Faculty of Engineering, University of Kragujevac, 2021

SMEs play a significant role in Indian economy, especially in terms of employment generation, Ind... more SMEs play a significant role in Indian economy, especially in terms of employment generation, Industrial Production or Exports. In the current scenario the background of small firms should be efficient enough in order to compete for survival and growth. It is absolutely essential that they should build up their competitiveness through technology transfer and periodical technology up gradation or by resorting to in-house R & D and technological innovations. Research and Development (R & D) that enables technology innovation contribute to the enhancement of competitiveness of industrial firms – large as well as small. This is because R & D and technology innovation give a competitive edge to firms in national as well as international markets.
The research focused on SMEs in mechanical engineering sector in Bangalore city. The study covered 35 units across the city. The important outcomes of the research are as follows:

 Entrepreneurs who are self motivated, put in self-effort with internal technological capability to perform either radical/incremental innovation.
 Entrepreneurs of small firms who perform incremental innovations, primarily because of external pressure and by external support.

KEYWORDS:

Technology innovation, Small and Medium Enterprises, Globalization, Self motivation.

In response to increasing global competition, organizations are undergoing massive transformation... more In response to increasing global competition, organizations are undergoing massive transformations in the way they are structured, managed and operated. These transformations are evident even with Small and Medium Enterprise (SMEs). They encounter difficulties in managing the changes like changes related to customer orders, product design, material requirement, purchase order, production changes, shipment schedules, etc. SME’s are focusing their attention on satisfying their customers, SMEs are upgrading their processes and practices to deliver products and services more quickly and efficiently.
The last two decades have witnessed an explosion of research into the area of Quality Management Practices like TQM, Six Sigma, lean, kaizen etc... and its application within SMEs. Literature review highlights the importance of Quality Management Practices (QMP) for SMEs in order to improve their current business practices as well as quality of products and services, to ensure long-term survival. However, there are several barriers to effective implementation of QMP in such organizations, namely, the apparent lack of business experience and knowledge, and limitation of financial as well as human resources. This paper presents and analysis the available literature which revolves around Quality Management Practices in SMEs
Key Words: QMP, SME’s, TQM