This paper delineates the distinctive nature of appraisal politics perceptions (referenced to organizational politics) experienced by appraisees (APAP) as a form of hindrance work…
Abstract
Purpose
This paper delineates the distinctive nature of appraisal politics perceptions (referenced to organizational politics) experienced by appraisees (APAP) as a form of hindrance work stressor that is more episodic than chronic, salient during the PA rating and reward decisions. The study argues and attempts to establish empirically that due to its distinct nature, it causes both short-term episodic strain and long-term chronic strain. Further, the study investigates the distinctive role played by appraisee's hard and soft influence behaviour as a coping mechanism moderating the influence of APAP as a stressor on strain variables in Indian organizational context that ferments politics.
Design/methodology/approach
The data was collected using self-reports from 407 employees in Indian organizations using survey method. Multivariate analyses including moderating tests were used for testing the hypotheses.
Findings
Only the episodic components of the APAP-appraiser's rating politics and pay and promotion politics were significantly related to anxiety felt by appraisees during PA – an episodic measure of strain. All three APAP components were significantly related to the chronic strain measure of dissatisfaction. There was modest support for the role of influence tactics (IT) as a coping mechanism attenuating the negative relation of APAP with the dissatisfaction variables as chronic strain measures. Contrary to the hypothesis, softer tactics exacerbated the APAP–PA anxiety relation, indicating the episodic nature of stressor and strain.
Originality/value
The study contributes significantly to enhance the understanding about the nature of Appraisal politics.
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Aishwarya Narang, Ravi Kumar, Amit Kumar Dhiman, Ravi Shankar Pandey and Pavan Kumar Sharma
This study describes a series of experiments investigating the upper hot layer temperature profile in a confined space under different ventilation conditions for…
Abstract
Purpose
This study describes a series of experiments investigating the upper hot layer temperature profile in a confined space under different ventilation conditions for porosity-controlled wood crib fires for pre-flashover conditions.
Design/methodology/approach
Full-scale compartment (4 m × 4 m × 4 m) experiments were carried out for four-door openings, i.e. 100%, 75%, 50% and 25% of the total vent area (2 m × 1 m) with the wood crib as a fuel load. The temperature of the upper hot smoke layers of the compartment was recorded with the help of four layers of thermocouples for varying vent areas.
Findings
The effect of ventilation on the properties, i.e. mass loss rate, enclosure temperature, heat release rate and carbon monoxide (CO) gas concentration, has been measured and analyzed. The effect of ventilation on heat flux and flame temperature has also been studied. Compartment gas temperature has been examined by five wood crib burning stages: Ignition, growth, steady burning, recess and collapse.
Originality/value
Findings demonstrate that the influence of vent openings varies for the burning parameters and upper layer temperature of the compartment. The current results are beneficial in analyzing thermal risks concerning compartment fire and fire safety engineering projects.
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Aishwarya Narang, Ravi Kumar and Amit Dhiman
This study seeks to understand the connection of methodology by finding relevant papers and their full review using the “Preferred Reporting Items for Systematic Reviews and…
Abstract
Purpose
This study seeks to understand the connection of methodology by finding relevant papers and their full review using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA).
Design/methodology/approach
Concrete-filled steel tubular (CFST) columns have gained popularity in construction in recent decades as they offer the benefit of constituent materials and cost-effectiveness. Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Gene Expression Programming (GEP) and Decision Trees (DTs) are some of the approaches that have been widely used in recent decades in structural engineering to construct predictive models, resulting in effective and accurate decision making. Despite the fact that there are numerous research studies on the various parameters that influence the axial compression capacity (ACC) of CFST columns, there is no systematic review of these Machine Learning methods.
Findings
The implications of a variety of structural characteristics on machine learning performance parameters are addressed and reviewed. The comparison analysis of current design codes and machine learning tools to predict the performance of CFST columns is summarized. The discussion results indicate that machine learning tools better understand complex datasets and intricate testing designs.
Originality/value
This study examines machine learning techniques for forecasting the axial bearing capacity of concrete-filled steel tubular (CFST) columns. This paper also highlights the drawbacks of utilizing existing techniques to build CFST columns, and the benefits of Machine Learning approaches over them. This article attempts to introduce beginners and experienced professionals to various research trajectories.
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Amit Mittal, Rahul Dhiman and Parmod Lamba
The purpose of this paper is to explore the skill mapping process in a manufacturing organization and to examine its relationship with the select performance indicators, such as…
Abstract
Purpose
The purpose of this paper is to explore the skill mapping process in a manufacturing organization and to examine its relationship with the select performance indicators, such as quality and defects. This paper also explores the role of the supervisor in the whole process of skill mapping of the blue-collar employees.
Design/methodology/approach
The study uses a case-based approach and the company selected is Mahindra and Mahindra Ltd, Swaraj Division, located in Phase 4, Industrial Area, Mohali (Punjab). The qualitative aspect of the paper is based on ten semi-structured interviews of the senior-level managers. These interviews are conducted in order to understand the role of the supervisor in skill mapping process and its relationship with the organizational performance. The quantitative aspect is based on the regression analysis to find out the impact of skill index on select performance indicators.
Findings
The results of the study indicate that the role of the supervisor in performance appraisal is very important in the whole process of skill mapping. Swaraj is an example where a robust skill mapping process for blue-collar employees have supported the business in improving the skill of employees and consequently supporting the business to perform well on key deliverables, such as better quality and less defects. The select variables are inter-correlated and variations in the select organizational performance indicators (production and defects) are due to variations in the skill index of the blue-collar employees in the manufacturing organization. The performance indicators of the manufacturing organization in terms of manufacturing defects have declined and also the production has increased, which is a good indicator for the organization.
Practical implications
The present study is of interest to researchers who are trying to understand the system for skill mapping and utilization of appraisal inputs in improving organizational performance.
Originality/value
To the authors’ best knowledge, this paper is one of the first to address the skill mapping process in a manufacturing organization especially for the blue-collar employees.
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Neeraj Dhiman, Amit Chauhan, Mohammad Tamsir and Anand Chauhan
A collocation technique based on re-defined quintic B-splines over Crank-Nicolson is presented to solve the Fisher's type equation. We take three cases of aforesaid equation. The…
Abstract
Purpose
A collocation technique based on re-defined quintic B-splines over Crank-Nicolson is presented to solve the Fisher's type equation. We take three cases of aforesaid equation. The stability analysis and rate of convergence are also done.
Design/methodology/approach
The quintic B-splines are re-defined which are used for space integration. Taylor series expansion is applied for linearization of the nonlinear terms. The discretization of the problem gives up linear system of equations. A Gaussian elimination method is used to solve these systems.
Findings
Three examples are taken for analysis. The analysis gives guarantee that the present method provides much better results than previously presented methods in literature. The stability analysis and rate of convergence show that the method is unconditionally stable and quadratic convergent for Fisher's type equation. Moreover, the present method is simple and easy to implement, so it may be considered as an alternative method to solve PDEs.
Originality/value
This work is the original work of authors which is neither published nor submitted anywhere else for publication.
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The present paper investigated a skim milk powder production plant with genuine human mistake for analyzing its performance in terms of its reliability, availability and…
Abstract
Purpose
The present paper investigated a skim milk powder production plant with genuine human mistake for analyzing its performance in terms of its reliability, availability and maintainability (RAM) indices along with mean time between failure (MTBF) and expected number of failure (ENOF).
Design/methodology/approach
In the proposed work, the generalized fuzzy lambda–tau methodology has been used to carry out the analysis of the repairable structure using the improved arithmetic operations for generalized fuzzy numbers by considering the degree of confidence levels.
Findings
RAM indices along with MTBF and ENOF are obtained to increase the quality of skim milk powder manufacturing structures of a dairy plant with genuine human-mistake working conditions.
Originality/value
In the present paper, a mathematical model for a complex industrial system based on fuzzy has been developed. Finally, the results are more realistic and comprehensive for the decision-maker for farther application.
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The purpose of this paper is to investigate the performance of a turbine structure of the oil and gas Egyptian company in terms of reliability, mean time to failure (MTTF), mean…
Abstract
Purpose
The purpose of this paper is to investigate the performance of a turbine structure of the oil and gas Egyptian company in terms of reliability, mean time to failure (MTTF), mean time to repair (MTTR) and mean time between failures (MTBF) under fuzzy environment and working criteria. This paper examines the impact of the failure of various components on the complete turbine structure of the oil and gas system.
Design/methodology/approach
To overcome the problem of uncertain behavior of available data for various components, the right triangular generalized fuzzy number (RTrGFN) is proposed to be taken into the account to express the uncertainty which attains some tolerance in data. Furthermore, reliability indices are calculated with the help of the Lambda Tau method and the arithmetic operations on right generalized triangular fuzzy numbers (RTrGFN).
Findings
This paper explores the reliability of a repairable 3 out of 4 structure of turbines and along with the other parameters namely MTTF, MTTR and MTBF; under a fuzzy environment. Failure rates and repair times are expected to be exponential. The ranking of components of the structure is being found to decide the priority for maintenance.
Originality/value
This paper investigates the performance of the system with different spread/tolerance like 15%, 25% and 50% of crisp data. It helps to predict realistic results in the range value. To enhance the system's performance, the most important item of the system requires greater attention. For this, the authors find the sensitive part by ranking. For ranking, an extended approach has been developed to find the sensitive unit of the system by using the right triangular generalized fuzzy number. This paper explores the most and least sensitive component of the system, which helps the maintenance department to plan the maintenance action.
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This paper aims to discuss innovations in the training and development practices of companies and delineate a new approach to training and development in the context of the hybrid…
Abstract
Purpose
This paper aims to discuss innovations in the training and development practices of companies and delineate a new approach to training and development in the context of the hybrid workplace using the ADDIE and Kirkpatrick training models.
Design/methodology/approach
This paper discusses innovations in training and development in modern times and builds on the instructional training design approach or the ADDIE Model and the Kirkpatrick Model of training evaluation.
Findings
The paper presents new approaches to training and development in the context of the hybrid work model applying the ADDIE Model and the Kirkpatrick Model. These new approaches are both necessitated and also made possible due to the technological advancements of modern times.
Originality/value
With the rapid transition of companies to the hybrid model of work in recent times, several human resource management practices need to be transformed to suit the requirements of the new work model. Training and development is one function that needs to change in the hybrid work model to ensure its effectiveness. This paper analyses innovations in the training and development practices of companies and discusses new approaches while applying existing training models, the ADDIE and Kirkpatrick Models, to adapt to the changes associated with the hybrid work model.
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Shreyashi Chakraborty and Leena Chatterjee
The Indian context is marked with weak anti-discrimination laws and patchy implementation of protection of civil rights of women at workplaces. The purpose of this paper is to…
Abstract
Purpose
The Indian context is marked with weak anti-discrimination laws and patchy implementation of protection of civil rights of women at workplaces. The purpose of this paper is to unearth the rationales of the adoption of gender diversity management policies and practices in India, in the absence of laws and regulations.
Design/methodology/approach
Inspiration is drawn from previous studies on diversity management in other national contexts, and a survey methodology was adopted. The lead researcher administered the questionnaires personally to all respondents to ensure that the understanding of the questions is uniform across respondents as gender diversity management is a relatively new concept in India.
Findings
Size of the organisation (number of full-time employees), the influence of external organisations and perceived enhanced organisational flexibility were found to explain the adoption of gender diversity management policies and practices in the Indian IT/ITeS industry. Findings also indicate that Indian subsidiaries of foreign multinationals tend to adopt more gender diversity management policies and practices as compared to Indian-owned organisations.
Research implications
This study provides evidence that organisations do not always enact structures or behaviours in the pursuit of normative rationality and also consider the economic value of them, establishing an organisational agency in adopting legitimated norms or practices. The study also shows that gender diversity management policies and practices are not only dependent on the enactment of laws but also are adopted because of the economic benefit perceived.
Originality/value
Diversity management policies and practices have been mostly studied in national contexts with anti-discrimination laws or affirmative action programs and have been claimed to be a successor of equal employment opportunity (EEO) policies. In the absence of stringent laws to reduce or eliminate discrimination against women employees in Indian workplaces, this study contributes to the literature by determining whether the business case for gender diversity drives the adoption of gender diversity management in the Indian context.