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Article
Publication date: 5 April 2021

Sachin Tripathi, Manoj Hudnurkar and Suhas Suresh Ambekar

The purpose of this research paper is to understand the major factors considered before choosing the mode of transportation for the freight movement in India by different…

496

Abstract

Purpose

The purpose of this research paper is to understand the major factors considered before choosing the mode of transportation for the freight movement in India by different stakeholders and look into the future prospects on each of these sectors, i.e. railways, roadways and inland waterways.

Design/methodology/approach

This paper collected the primary data from the various stakeholders in the transportation sector and the secondary data through websites and various ministries of each of the sectors. The various factors are then determined by thoroughly analysing the responses by performing factor analysis in SPSS.

Findings

Earlier railways were the preferred medium of transportation, but the dynamics shifted during the 90’s to roadways, and now, it is responsible for nearly 60% of the freight traffic with waterways slowing increasing its share of the pie. Also, there are a lot of factors which stakeholders consider, but the major factors that came out are cost, sustainability, timing, government initiatives, visibility and performance.

Practical implications

The result of this study implies that sectors should create a robust network for easy reach of the customers and try working in conjunction to create an efficient, affordable and highly connected network. This study will also help in taking vital decisions regarding the future planning of transportation sector.

Originality/value

The findings help in improving the transportation network and help in better decision-making by various stakeholders while choosing the mode of transportation.

Details

International Journal of Innovation Science, vol. 13 no. 3
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 9 April 2020

Ranjan Kumar Mohanty and Sachin Sharma

This paper aims to develop a new high accuracy numerical method based on off-step non-polynomial spline in tension approximations for the solution of Burgers-Fisher and coupled…

141

Abstract

Purpose

This paper aims to develop a new high accuracy numerical method based on off-step non-polynomial spline in tension approximations for the solution of Burgers-Fisher and coupled nonlinear Burgers’ equations on a graded mesh. The spline method reported here is third order accurate in space and second order accurate in time. The proposed spline method involves only two off-step points and a central point on a graded mesh. The method is two-level implicit in nature and directly derived from the continuity condition of the first order space derivative of the non-polynomial tension spline function. The linear stability analysis of the proposed method has been examined and it is shown that the proposed two-level method is unconditionally stable for a linear model problem. The method is directly applicable to problems in polar systems. To demonstrate the strength and utility of the proposed method, the authors have solved the generalized Burgers-Huxley equation, generalized Burgers-Fisher equation, coupled Burgers-equations and parabolic equation in polar coordinates. The authors show that the proposed method enables us to obtain the high accurate solution for high Reynolds number.

Design/methodology/approach

In this method, the authors use only two-level in time-direction, and at each time-level, the authors use three grid points for the unknown function u(x,t) and two off-step points for the known variable x in spatial direction. The methodology followed in this paper is the construction of a non-polynomial spline function and using its continuity properties to obtain consistency condition, which is third order accurate on a graded mesh and fourth order accurate on a uniform mesh. From this consistency condition, the authors derive the proposed numerical method. The proposed method, when applied to a linear equation is shown to be unconditionally stable. To assess the validity and accuracy, the method is applied to solve several benchmark problems, and numerical results are provided to demonstrate the usefulness of the proposed method.

Findings

The paper provides a third order numerical scheme on a graded mesh and fourth order spline method on a uniform mesh obtained directly from the consistency condition. In earlier methods, consistency conditions were only second order accurate. This brings an edge over other past methods. Also, the method is directly applicable to physical problems involving singular coefficients. So no modification in the method is required at singular points. This saves CPU time and computational costs.

Research limitations/implications

There are no limitations. Obtaining a high accuracy spline method directly from the consistency condition is a new work. Also being an implicit method, this method is unconditionally stable.

Practical implications

Physical problems with singular and non-singular coefficients are directly solved by this method.

Originality/value

The paper develops a new method based on non-polynomial spline approximations of order two in time and three (four) in space, which is original and has lot of value because many benchmark problems of physical significance are solved in this method.

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Article
Publication date: 10 October 2016

Sachin Modgil and Sanjay Sharma

The purpose of this paper is to investigate the impact of total productive maintenance (TPM) and total quality management (TQM) practices on operational performance and their…

5545

Abstract

Purpose

The purpose of this paper is to investigate the impact of total productive maintenance (TPM) and total quality management (TQM) practices on operational performance and their inter-relationship.

Design/methodology/approach

The present study includes three main constructs, namely, TPM, TQM and operational performance of pharmaceutical industry. Under TPM, four constructs, namely, disciplined maintenance, information tracking, housekeeping and operator involvement has been considered with the help of literature. In TQM, four constructs, namely, quality data and reporting, product innovation, research and development (R&D) management and technology management has been considered. Out of 410 Indian pharmaceutical plants contacted for survey, 254 responses have been used in the study for analysis. The factor analysis, path model and structural equation modeling has been used to analyze the proposed framework. The results for alternate models has been studied, interpreted and reported. Finally the direct and indirect effect of TPM and TQM on operational performance has been tested and checked for proving and disproving the hypotheses.

Findings

TPM practices have a significant impact on plant-level operational performance. When TPM and TQM practices are coming together to achieve operational performance, then TPM is having strong influence on operational performance. TQM is having significant support from TPM to achieve operational performance. TPM impact TQM and TQM in turn helps to achieve operational performance. TPM practices impact significantly R&D, product innovation and technology management, whereas quality data and reporting is the least contributor toward TQM. This may help industry to understand implications of implementation of TPM and TQM to achieve plant-level operational performance. TPM will help to reduce the cost of quality in terms of reduced scrap and less defective products.

Practical implications

The present study provides the useful insights to practicing managers. In literature it has been mentioned that TQM helps in TPM implementation. In practice TPM plays a great role to achieve quality in processes and therefore in products. In turn quality products, with reduced work in process inventory, less defective products and reduced scrap helps to achieve the operational performance at plant level. TPM practices will help the organization to improve the pace of product innovation and improvement in productivity, which is critical to pharmaceutical industry. The continuous monitoring of TPM practices can help organizations to run day to day operations and maintenance requirement of each machine over a specified period of time.

Originality/value

The present study diagnoses the inter-dimensional linkage between TPM, TQM and operational performance. The pharmaceutical industry is complex system of advance equipment’s and processes. After human resources, the health of machines/equipment’s describe the strength of an organization. The machines require the regular maintenance to produce the products with desired specifications. The specifications in medicines and very tight, which can be achieved only if machines/testing equipment’s are updated and maintained regularly. The TPM practices will helps the plants to achieve the operational performance by having quality in processes.

Details

Journal of Quality in Maintenance Engineering, vol. 22 no. 4
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 16 August 2021

Umakant L. Tupe, Sachin D. Babar, Sonali P. Kadam and Parikshit N. Mahalle

Internet of Things (IoT) is an up-and-coming conception that intends to link multiple devices with each other. The aim of this study is to provide a significant analysis of Green…

253

Abstract

Purpose

Internet of Things (IoT) is an up-and-coming conception that intends to link multiple devices with each other. The aim of this study is to provide a significant analysis of Green IoT. The IoT devices sense, gather and send out significant data from their ambiance. This exchange of huge data among billions of devices demands enormous energy. Green IoT visualizes the concept of minimizing the energy consumption of IoT devices and keeping the environment safe.

Design/methodology/approach

This paper attempts to analyze diverse techniques associated with energy-efficient protocols in green IoT pertaining to machine-to-machine (M2M) communication. Here, it reviews 73 research papers and states a significant analysis. Initially, the analysis focuses on different contributions related to green energy constraints, especially energy efficiency, and different hierarchical routing protocols. Moreover, the contributions of different optimization algorithms in different state-of-the-art works are also observed and reviewed. Later the performance measures computed in entire contributions along with the energy constraints are also checked to validate the effectiveness of entire contributions. As the number of contributions to energy-efficient protocols in IoT is low, the research gap will focus on the development of intelligent energy-efficient protocols to build up green IoT.

Findings

The analysis was mainly focused on the green energy constraints and the different robust protocols and also gives information on a few powerful optimization algorithms. The parameters considered by the previous research works for improving the performance were also analyzed in this paper to get an idea for future works. Finally, the paper gives some brief description of the research gaps and challenges for future consideration that helps during the development of an energy-efficient green IoT pertaining to M2M communication.

Originality/value

To the best of the authors’ knowledge, this is the first work that reviews 65 research papers and states the significant analysis of green IoT.

Details

International Journal of Pervasive Computing and Communications, vol. 18 no. 2
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 18 February 2020

Anil Kumar, Rohit Kr Singh and Sachin Modgil

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain…

3960

Abstract

Purpose

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.

Design/methodology/approach

The theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.

Findings

The results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.

Research limitations/implications

Further research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.

Practical implications

This study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.

Originality/value

The outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.

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Article
Publication date: 30 August 2024

Ephrem Negash Shebeshe and Dhiraj Sharma

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP…

358

Abstract

Purpose

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Design/methodology/approach

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Findings

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

Research limitations/implications

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

Practical implications

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

Originality/value

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 22 October 2024

Sachin Kumar, Vinod Kumar, Vandana, Eva Ivanová and Sheshadri Chatterjee

The purpose of this study is to assess the impact of consumption values on customer satisfaction and intention to consume millet-based foods. This study examines both tangible and…

105

Abstract

Purpose

The purpose of this study is to assess the impact of consumption values on customer satisfaction and intention to consume millet-based foods. This study examines both tangible and intangible values of the millet-based food to the customer.

Design/methodology/approach

Based on consumption value theory (CVT), the present study evaluates the impact of consumption value factors such as emotional, epistemic, health, price, prestige and taste/quality values on satisfaction and intention to use millet-based foods and develops a unique research model. Later, leveraging a dataset comprising more than 410 responses from Pune city in India, a rigorous empirical examination of the proposed model was conducted employing SmartPLS 4.0 software.

Findings

The study's finding unveils both the significant and insignificant impacts of various consumption values, both from the tangible and intangible consumption value perspectives on satisfaction and intention to consume millet-based foods. The study also provides a validated food consumption model which can be used for other similar food consumption behaviour of the customers.

Research limitations/implications

This study provides insights as to how different consumption values impact the satisfaction of the customers for the millet-based food. This study illuminates additional aspects of the tangible and intangible factors impacting the satisfaction level of customers to consume millet-based products. Also, this is a cross-sectional study, and the respondents are only based in Pune, India. Thus, the study results cannot be generalised.

Originality/value

This study employs CVT to explore the unexplored impact of consumption values on satisfaction and intention to use millet-based foods, which is unexplored in the past literature. Moreover, this study develops a theoretical model with high explanatory power, and the research model adds value to the existing body of literature from areas such as food preference, consumer behaviour and value consumption insights.

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Article
Publication date: 4 November 2021

Yasanur Kayikci, Yigit Kazancoglu, Cisem Lafci, Nazlican Gozacan-Chase and Sachin Kumar Mangla

The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable…

981

Abstract

Purpose

The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable. For this purpose, it is aimed to reveal the role of the smart circular supply chain (SCSC) and its enablers towards achieving Sustainable Development Goals (SDGs) for post-pandemic preparedness.

Design/methodology/approach

Total interpretive structural modelling and Matrice d'Impacts Croises Multipication Applique' a un Classement (MICMAC) have been applied to analyse the SCSC enablers which are supported by the natural-based resource view in Turkey's food industry. In this context, industry experts working in the food supply chain (meat sector) and academics came together to interpret the result and discuss the enablers that the supply chain experienced during the pandemic for creating a realistic framework for post-pandemic preparedness.

Findings

The results of this study show that “governmental support” and “top management involvement” are the enablers that have the most driving power on other enablers, however, none of them depend on any other enablers.

Originality/value

The identification of the impact and role of enablers in achieving SDGs by combining smart and circular capabilities in the supply chain for the post-pandemic.

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Expert briefing
Publication date: 7 October 2022

The winner will succeed interim leader Sonia Gandhi. Rahul Gandhi, Sonia’s son and a former party president himself, has resisted calls to run. The contest will be a straight…

Details

DOI: 10.1108/OXAN-DB273232

ISSN: 2633-304X

Keywords

Geographic
Topical
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Article
Publication date: 29 December 2023

Ashu Lamba, Priti Aggarwal, Sachin Gupta and Mayank Joshipura

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms…

98

Abstract

Purpose

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

Design/methodology/approach

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

Findings

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

Originality/value

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 18 no. 3
Type: Research Article
ISSN: 1750-6123

Keywords

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