Pawan Gupta, Arvind Kumar Lal, Rajendra Kumar Sharma and Jai Singh
The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system…
Abstract
Purpose
The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system for various choices of failure and repair rates of sub‐systems. This plant consists of eight sub‐systems.
Design/methodology/approach
In this paper the Chapman‐Kolmogorov differential equations are formed using mnemonic rule from the transition diagram of the plastic‐pipe manufacturing plant. The governing differential equations are solved using matrix method in order to find the reliability of the system with the help of MATLAB software. The same system of differential equations is solved numerically using Runge‐Kutta fourth order method to validate the results obtain by MATLAB.
Findings
The findings in the paper are an analysis of reliability, availability and mean time before failure of plastic‐pipe manufacturing plant has been carried out.
Practical implications
This paper proposes matrix calculus method using MATLAB software to find out the reliability of the plastic‐pipe manufacturing plant. This approach can be implemented to find reliability of other manufacturing plants as well.
Originality/value
The findings suggest that the management of the plastic‐pipe manufacturing plant 's sensitive sub‐system is important to improve its performance.
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Keywords
Pawan Gupta, Arvind Kumar Lal, Rajendra Kumar Sharma and Jai Singh
Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of…
Abstract
Purpose
Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of eight sub‐systems working in a series. Two sub‐systems, namely pump and chiller, are supported by stand‐by units with perfect switch‐over devices and the remaining six sub‐systems are prone to failure.
Design/methodology/approach
Mathematical formulation of the model is carried out using mnemonic rule for these six sub‐systems. Reliability, availability and MTBF of the serial process in the butter‐oil processing plant have been computed for various choices of failure and repair rates of sub‐systems of this plant.
Findings
Analysis of reliability, long‐run availability and mean time before failure of the butter‐oil manufacturing plant can help in increasing the production and quality of the butter‐oil.
Originality/value
Industrial implications of the results have also been briefly discussed.
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Pawan Kumar Gupta and Jagdish Arora
The purpose of this paper is to report on a national seminar held at the India Habitat Centre, New Delhi, on 29‐30 January 2009.
Abstract
Purpose
The purpose of this paper is to report on a national seminar held at the India Habitat Centre, New Delhi, on 29‐30 January 2009.
Design/methodology/approach
This is a descriptive report.
Findings
The national seminar focused on open access of textual and multimedia content looking at collaboration between two inter‐university centres of the University Grants Commission (UGC), INFLIBNET (Information and Library Network) Center in Ahmedabad and the Center for Educational Communication (CEC) in New Delhi.
Originality/value
It will be of interest to the library and information professionals especially to the media professionals across the country. It may also be helpful to the professionals of the Asian countries at some extend. A detailed version of this report published in the seminar website and it may also appear in the forthcoming INFLIBNET newsletter for the INFLIBNET members.
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Vishal Gupta, Shweta Mittal, P. Vigneswara Ilavarasan and Pawan Budhwar
Building on the arguments of expectancy theory and social exchange theory, the present study provides insights into the process by which pay-for-performance (PFP) impacts employee…
Abstract
Purpose
Building on the arguments of expectancy theory and social exchange theory, the present study provides insights into the process by which pay-for-performance (PFP) impacts employee job performance.
Design/methodology/approach
Based on a sample size of 226 employees working in a technology company in India, the study examines the relationships between PFP, procedural justice, organizational citizenship behavior (OCB) and employee job performance. Data on perceptions of PFP and procedural justice were collected from the employees, data on OCB were collected from the supervisors and the data on employee job performance were collected from organizational appraisal records.
Findings
The study found support for the positive relationship between PFP and job performance and for the sequential mediation of the relationship between PFP and job performance via procedural justice and OCB. Further, procedural justice was found to mediate the relationship between PFP and OCB.
Research limitations/implications
The study was cross-sectional, so inferences about causality are limited.
Practical implications
The study tests the relationship between PFP and employee job performance in the Indian work context. The study shows that the existence of PFP is positively related to procedural justice which, in turn, is positively related to OCB. The study found support for the sequential mediation of PFP-job performance relationship via procedural justice and OCB.
Originality/value
The study provides an insight into the underlying process through which PFP is related to employee job performance. To the best of our knowledge, such a study is the first of its kind undertaken in an organizational context.
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Amit Kumar Pandey, Tarun Kumar Gupta and Pawan Kumar Verma
This paper aims to propose a new sleep signal controlled footless domino circuit for reducing the subthreshold and gate oxide leakage currents.
Abstract
Purpose
This paper aims to propose a new sleep signal controlled footless domino circuit for reducing the subthreshold and gate oxide leakage currents.
Design/methodology/approach
In the proposed circuit, a P channel MOSFET (PMOS) sleep switch transistor is inserted between the power supply and the output node. The sleep transistor, the source of the pull-down network, and the source of the N channel MOSFET (NMOS) transistor of the output inverter are controlled by this additional sleep signal to place the footless domino circuit in a low leakage state.
Findings
The authors simulate the proposed circuit by using HSPICE in 45-nm CMOS technology for OR and AND logic gates such as OR2, OR4, OR8, AND2 and AND4 at 25°C and 110°C. The proposed circuit reduces leakage power consumption as compared to the existing circuits.
Originality/value
The proposed circuit significantly reduces the total leakage power consumption up to 99.41 and 99.51 per cent as compared to the standard dual-threshold voltage footless domino circuits at 25°C and 110°C, respectively, and up to 93.79 and 97.98 per cent as compared to the sleep control techniques at 25°C and 110°C, respectively. Similarly, the proposed circuit reduces the active power consumption up to 26.76 and 86.25 per cent as compared to the standard dual-threshold voltage and sleep control techniques footless domino circuits at 25°C and 110°C, respectively.
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Ashish Malik, Jaya Gupta, Ritika Gugnani, Amit Shankar and Pawan Budhwar
This paper aims to explore the relationship between owner-manager or leader’s ambidextrous leadership style and its effect on human resource management (HRM) practices, contextual…
Abstract
Purpose
This paper aims to explore the relationship between owner-manager or leader’s ambidextrous leadership style and its effect on human resource management (HRM) practices, contextual ambidexterity and knowledge-intensive small- and medium-enterprises (SMEs) strategic agility.
Design/methodology/approach
This study presents an in-depth qualitative case study analysis of two knowledge-intensive SMEs from India’s information technology and health-care products industry serving a range of global clients. Using the theoretical lenses of empowerment-focused HRM practices, ambidextrous leaders, contextual ambidexterity and strategic agility, semi-structured interview data of leaders, managers and employees of the case organizations were analysed. Through a two-staged analytical process, we abductively developed a novel conceptual framework at the intersection of the above theoretical lenses.
Findings
The findings suggest that the knowledge-intensive SME’s strategic agility, ambidexterity and empowerment-focussed HRM approach was influenced by the owner-manager or leader’s ambidextrous leadership style and their philosophy towards managing people and had a positive impact in creating a culture of trust, participation, risk-taking and openness, and led to delivering innovative products and services as well as several positive employee-level outcomes.
Originality/value
Recent literature reviews on HRM In SMEs highlight several gaps, including the impact of owner-manager or leader’s philosophy of managing people in shaping HRM practices and employee outcomes. This paper thus adds to the existing literature on HRM and knowledge-intensive SMEs.
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Ashutosh Shankhdhar, Pawan Kumar Verma, Prateek Agrawal, Vishu Madaan and Charu Gupta
The aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an…
Abstract
Purpose
The aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an individual's quality of life can be enhanced via neuroscience and neural networks, and risk evaluation of certain experiments of BCI can be conducted in a proactive manner.
Design/methodology/approach
This paper puts forward an efficient approach for an existing BCI device, which can enhance the performance of an electroencephalography (EEG) signal classifier in a composite multiclass problem and investigates the effects of sampling rate on feature extraction and multiple channels on the accuracy of a complex multiclass EEG signal. A one-dimensional convolutional neural network architecture is used to further classify and improve the quality of the EEG signals, and other algorithms are applied to test their variability. The paper further also dwells upon the combination of internet of things multimedia technology to be integrated with a customized design BCI network based on a conventionally used system known as the message query telemetry transport.
Findings
At the end of our implementation stage, 98% accuracy was achieved in a binary classification problem of classifying digit and non-digit stimuli, and 36% accuracy was observed in the classification of signals resulting from stimuli of digits 0 to 9.
Originality/value
BCI, also known as the neural-control interface, is a device that helps a user reliably interact with a computer using only his/her brain activity, which is measured usually via EEG. An EEG machine is a quality device used for observing the neural activity and electric signals generated in certain parts of the human brain, which in turn can help us in studying the different core components of the human brain and how it functions to improve the quality of human life in general.
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Munish Gupta, Vikas Sharma and Nasima Mohamed Hoosen Carrim
Employee performance and job satisfaction are crucial factors that influence organizational success, particularly in the insurance industry. The advent of data-driven approaches…
Abstract
Introduction
Employee performance and job satisfaction are crucial factors that influence organizational success, particularly in the insurance industry. The advent of data-driven approaches has led to the emergence of Employee-Performance Data Management (EPDM) practices, which play a pivotal role in shaping employee outcomes. This study, with its clear focus on the impact of EPDM on job satisfaction within the insurance sector, aims to provide an understanding of this relationship, employing a positivist perspective grounded in existing theories.
Purpose
The primary objective of this research is to investigate the influence of EPDM variables, such as data integration, technology integration, and ethical considerations, on job satisfaction among employees in the insurance industry.
Methodology
We adopted a causal-comparative research design. This design allowed us to discern the cause-and-effect relationships among the variables under study. We collected data through structured questionnaires, ensuring a diverse sample of 415 employees across various job roles within the insurance sector. Our analytical framework encompassed multiple regression analysis, f-tests, t-tests, and calculations of means and standard deviations, all of which were used to rigorously assess the data.
Findings
Our study's findings have significant implications for the insurance industry. We found that aspects of EPDM variables, including data integration, technology integration, and ethical consideration, have a profound impact on job satisfaction. These results underscore the critical role of effective data management in enhancing employee outcomes. They also highlight the need for insurance companies to invest in robust data management strategies, potentially leading to improved job satisfaction and enhanced organizational performance.
Details
Keywords
Strategy, strategic management, market and product analysis.
Abstract
Subject area
Strategy, strategic management, market and product analysis.
Study level/applicability
The case is intended for a business strategy course in management. The target participants are MBA students specializing in strategy area as well as middle level and senior level managers from the industry, who come for an executive programme in management science.
Case overview
Year 2009, Mr Pawan Kumar (General Manager, Halonix Limited) was facing a decision-making situation in the organization. Being one of the most experienced and oldest employees of Halonix (incorporated as Phoenix Lamps Ltd in 1991), he had witnessed the tremendous growth of the company since its inception in 1991. The company was having a global brand image in automotive halogen lamps and became a dominant player in compact fluorescent lamp (CFL) market in India by 2007. With the increasing competition and change in market dynamics, the company needed to decide upon the future product portfolio mix and strategy to be adopted to gain the maximum benefit and win over the competition in both the product segments. The automotive halogen product segment was generating higher margins but having relatively slow growth. The CFL product segment was a growing market but was generating low margins due to increasing competition from entry of large number of players.
Expected learning outcomes
The theoretical concepts, which will be explored in this case, involve the following: the importance of industry structure analysis in understanding the basis of competition. The importance of value-chain analysis in strategic planning. The importance of Boston Consulting Group growth-share matrix in evaluating the product portfolio mix having different growth drivers and target segments?
Supplementary materials
Teaching notes.