Gayatri Allu, M. Surendra Kumar and A.M. Prasad
The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with…
Abstract
Purpose
The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with an optimization technique.
Design/methodology/approach
Practically, multiple, incompatible variables require concurrent boost on a synthesis of systematic antenna assemblage. The authors have worked out the main statistic penalty function to ensure all the restrictions. Here, MBPSO (Modified Binary Particle Swarm Optimization) is developed and introduced thin planar synthesis restriction. The sigmoid function is used to update the particle position. Different analytical demonstrations have been carried out, and the exhibited methods are predominant than the algorithms.
Findings
A 20 × 10 planar antenna array is synthesized using modified BPSO. The authors have suppressed the PSLL in two principal planes and as well as in the entire f plane. Numerical results state that MBPSO outperforms the other binary BPSO, BCSO, ACO, RGA, GA optimization techniques. MBPSO achieved a −51.84 dB PSLL level, whereas BPSO achieved −48.57 dB with the same 50% thinning.
Originality/value
Planar array antenna formation is one of the most complex syntheses because the array gets filled with more antenna elements. The machine-like complication and implementation of such an antenna arrangement with a broad opening would be expensive. It is not easy to control the required radiation patterns shape by using a uniform feeding network. To get better flexibility for sustaining the sidelobe levelheaded along with consistent amplitude distribution. So as far as prominence has been given to the evolutionary algorithm, find an ideal solution for objective array combinational problems.
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Bharat Chandra Sahoo, Surendra Kumar Sia, Lalit Kumar Mishra and M.J. Antony Wilson
The current work explores the relationship between workplace ostracism, emotional intelligence (EI) and organizational change cynicism. This paper also aims to examine how…
Abstract
Purpose
The current work explores the relationship between workplace ostracism, emotional intelligence (EI) and organizational change cynicism. This paper also aims to examine how dimensions of EI moderate the relationship between workplace ostracism and organizational change cynicism.
Design/methodology/approach
This study intends to examine the contribution of independent variable as well as moderating variable towards the outcome. Therefore, Pearson product–moment correlation and moderated regression analyses have been carried out to verify the hypotheses. To validate the tools upon the employees of India, authors have carried out measurement model analyses through AMOS and checked their composite reliability, convergent validity (average variance extraction [AVE]) and discriminant validity (square root of AVE). This study followed a simple random sampling technique with 276 employees (Male: N = 150, Mage = 34.34, female: N = 126, Mage = 31.57) from three manufacturing units of Odisha, an Eastern part of India.
Findings
Results showed that workplace ostracism was positively related to organizational change cynicism. However, only two dimensions of EI, namely, appraisal and regulation of self-emotion (ARSE) and other’s emotional appraisal were negatively related to organizational change cynicism. Moderated regression analysis indicates that positive relationship between workplace ostracism and organizational change cynicism is stronger for employees with low ARSE and other emotional appraisals than those with higher scores.
Practical/implications
The researchers conclude this paper with inputs for developing a suitable training module on EI, specifically focusing on various emotional management skills.
Originality/value
To the best of the authors’ knowledge, this study is first of its kind on workplace ostracism and organizational change cynicism among Indian employees in the manufacturing sector. This study also examines the moderating role of EI on workplace ostracism and organizational change cynicism, which has been somehow inadequate in the present epoch.
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N. Sreelekha and Surendra Kumar Sia
The present study aims to investigate the relationship between loneliness and psychological well-being and examine whether death anxiety mediates the association between…
Abstract
Purpose
The present study aims to investigate the relationship between loneliness and psychological well-being and examine whether death anxiety mediates the association between loneliness and psychological well-being among community-dwelling elderly people in the Kerala state of India.
Design/methodology/approach
A total of 209 participants (125 males and 84 females) were selected for this study through the convenience sampling method. SPSS (version 22) was used to estimate descriptive and correlational indices. Mediation analysis was conducted using Hayes Process macro-Version 3.5 and 5,000 bootstrapped sample-based analysis.
Findings
Results indicate the significant indirect effect of loneliness on psychological well-being through the influence of death anxiety. It was thus concluded that lonely feelings among elderly people lower psychological well-being and death anxiety partially mediates the relationship of loneliness and psychological well-being.
Research limitations/implications
The cross-sectional study with the use of questionnaires might not be adequate to establish causal links. All the participants were from community-dwelling. So it reduces the possibility of generalizing the findings to institutional settings. The study recommends the need and importance of mental health support for elderly people through community intervention programs to reduce their feeling of loneliness.
Originality/value
The present study contributes to the existing body of knowledge by substantiating the mediating role of death anxiety in the relationship between loneliness and the psychological well-being of elderly people staying at home.
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V.M. Nishma, Surendra Kumar Sia, Shreyasi Roy and M.J. Antony Wilson
Based upon the broaden-and-build theory of positive emotions, this study aims to assess the role of perceived social responsibility (PSR) in mediating the relationship between…
Abstract
Purpose
Based upon the broaden-and-build theory of positive emotions, this study aims to assess the role of perceived social responsibility (PSR) in mediating the relationship between gratitude and environmentally responsible behaviour (ERB) among teachers.
Design/methodology/approach
Data were collected, following a correlational design, from a total of 292 school teachers in Kerala state, India. In total, 256 data were taken for final analysis. Out of the total participants, 63.3% were female and the remaining 36.7% were male. Confirmatory factor analysis was carried out to verify the factor structure and discriminant as well as convergent validity of the study variables. The relationship between gratitude and ERB with mediating role of PSR was tested.
Findings
The mediation analysis output revealed that PSR fully mediates the effect of gratitude on ERB, and it is concluded from the findings of the study that ERB can be enhanced by humanizing the citizens to integrate social responsibility in their acts and promoting the significance of having positive emotions like gratitude to widen their thought–action repertoires.
Research limitations/implications
In line with the broaden-and-build theory, a positive state of mental faculty can be a prime facilitator to increase concern for green environments as an outcome of an expanded thought–action repertoire. The findings imply the importance of inculcating enduring personal resources like the sense of gratefulness as it weighs the effect of producing altruistic acts like ERB along with many other benefits associated with having a positive emotion which is obviously considered to be a fair contribution to serve social resources in the community.
Social implications
The study findings can be an inspiration for the formation of policies to encourage pro-environmental behaviour and to further expansion of policies like national education policy of India. As teachers being the facilitators of knowledge and wisdom, they are potential sources to inspire students to practice healthy behaviours, they can be better models by practicing ERB.
Originality/value
The authors have verified the application of broaden-and-build theory of positive emotion in the context of ERB along with identifying its relationship with gratitude and PSR.
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M.J. Antony Wilson and Surendra Kumar Sia
This study aims to understand the relationship between Covid stress and helplessness among the elderly people in Tirunelveli district of Tamil Nadu, a southern state of India, and…
Abstract
Purpose
This study aims to understand the relationship between Covid stress and helplessness among the elderly people in Tirunelveli district of Tamil Nadu, a southern state of India, and moreover, whether positive religious coping can have any influence on this relationship.
Design/methodology/approach
Following a field study approach, data were collected from 187 elderly people aged more than 60 years in different parts of the Tirunelveli district. Moderated regression analysis was carried out to examine the moderating role of positive religious coping on the relationship between Covid stress and helplessness.
Findings
In line with the formulated hypotheses, the findings reveal a significant positive contribution of Covid stress toward the helplessness of elderly people. However, despite Covid stress, the helplessness gets reduced for elderly people executing a higher level of positive religious coping.
Research limitations/implications
The findings substantiate the conservation of resources theory and suggest the role of positive religious coping as a personal resource against the stress experienced by the elderly.
Practical implications
The findings of the present study indicate the responsibility of government agencies, community leaders, family members as well as religious leaders in providing the scope to the elderly for religious interactions as well as practices that may facilitate positive religious coping among them.
Originality/value
The present study is one of its kind to be carried out among community-dwelling elderly under the pandemic crises. Moreover, the buffering role of positive religious coping as a personal resource to withstand the difficult situation has been examined in this study in an empirical manner.
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Shreyasi Roy and Surendra Kumar Sia
The increasing adverse impact of human behavior toward the environment has brought in changes in research focus on environmental behavior toward the workplace. Because the…
Abstract
Purpose
The increasing adverse impact of human behavior toward the environment has brought in changes in research focus on environmental behavior toward the workplace. Because the employee spends one-third of his day in his workplace, the initiatives taken by the employee also have an impact on the company’s environmental stance. Therefore, the researchers gradually focus on employee green behavior (EGB) and its measurement. The study aims to devise a tool for measuring EGB.
Design/methodology/approach
Two studies were carried out using the survey method using the purposive sampling technique. The data were collected (Studies 1 and 2) from managers and supervisors working in manufacturing companies located in Kolkata, India.
Findings
The first study was done to extract the principal factors using an initial 30 items (N = 220). The result of the principal component analysis shows the emergence of three factors spread over 20 items with loadings above 0.40. The 20-item scale was again administered on managers and supervisors (N = 243). The second study was carried out to examine the convergent and discriminant validity as well as stability of the tool through confirmatory factor analysis (CFA) (N = 243). The result of CFA showed the presence of 16 items spread through three factors: practice and policy, digital use and recycle and reuse. Multiple fit indices support a three-factor model of the 16-item EGB scale.
Research limitations/implications
The scale would be a good measure of EGB and can be used for further research. The EGB scale is a composite scale containing three major dimensions that can be used as a complete measure of EGB.
Originality/value
The present research aims to fill the current gap by building a comprehensive tool for measuring EGB. The present scale has also addressed the shortcoming of the previous scale and tried to include varied proenvironmental behaviors exhibited in the workplace.
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Soudamini Behera, Sasmita Behera, Ajit Kumar Barisal and Pratikhya Sahu
Dynamic economic and emission dispatch (DEED) aims to optimally set the active power generation with constraints in a power system, which should target minimum operation cost and…
Abstract
Purpose
Dynamic economic and emission dispatch (DEED) aims to optimally set the active power generation with constraints in a power system, which should target minimum operation cost and at the same time minimize the pollution in terms of emission when the load dynamically changes hour to hour. The purpose of this study is to achieve optimal economic and emission dispatch of an electrical system with a renewable generation mix, consisting of 3-unit thermal, 2-unit wind and 2-unit solar generators for dynamic load variation in a day. An improved version of a simple, easy to understand and popular optimization algorithm particle swarm optimization (PSO) referred to as a constriction factor-based particle swarm optimization (CFBPSO) algorithm is deployed to get optimal solution as compared to PSO, modified PSO and red deer algorithm (RDA).
Design/methodology/approach
Different model with and without wind and solar power generating systems; with valve point effect is analyzed. The thermal generating system (TGs) are the major green house gaseous emission producers on earth. To take up this ecological issue in addition to economic operation cost, the wind and solar energy sources are integrated with the thermal system in a phased manner for electrical power generation and optimized for dynamic load variation. This DEED being a multi-objective optimization (MO) has contradictory objectives of fuel cost and emission. To get the finest combination of the two objectives and to get a non-dominated solution the fuzzy decision-making (FDM) method is used herein, the MO problem is solved by a single objective function, including min-max price penalty factor on emission in the total cost to treat as cost. Further, the weight factor accumulation (WFA) technique normalizes the pair of objectives into a single objective by giving each objective a weightage. The weightage is decided by the FDM approach in a systematic manner from a set of non-dominated solutions. Here, the CFBPSO algorithm is applied to lessen the total generation cost and emission of the thermal power meeting the load dynamically.
Findings
The efficacy of the contribution of stochastic wind and solar power generation with the TGs in the dropping of net fuel cost and emission in a day for dynamic load vis-à-vis the case with TGs is established.
Research limitations/implications
Cost and emission are conflicting objectives and can be handled carefully by weight factors and penalty factors to find out the best solution.
Practical implications
The proposed methodology and its strategy are very useful for thermal power plants incorporating diverse sources of generations. As the execution time is very less, practical implementation can be possible.
Social implications
As the cheaper generation schedule is obtained with respect to time, cost and emission are minimized, a huge revenue can be saved over the passage of time, and therefore it has a societal impact.
Originality/value
In this work, the WFA with the FDM method is used to facilitate CFBPSO to decipher this DEED multi-objective problem. The results reveal the competence of the projected proposal to satisfy the dynamic load demand and to diminish the combined cost in contrast to the PSO algorithm, modified PSO algorithm and a newly developed meta-heuristic algorithm RDA in a similar system.
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Rohit Kumar Singh, Surendra Kansara and Niraj Kumar Vishwakarma
The aim of this paper is to identify the criteria that are used for vendor or supplier rating, prioritize these criteria based on the industry inputs and develop a vendor rating…
Abstract
Purpose
The aim of this paper is to identify the criteria that are used for vendor or supplier rating, prioritize these criteria based on the industry inputs and develop a vendor rating model. The data were collected from an Indian start-up working in product development using three-dimensional printing (3DP).
Design/methodology/approach
Factors of importance for vendor rating were identified through industry visits, and interacting with the industry experts from the start-up under consideration, substantiated by extensive review of relevant literature. A questionnaire-based survey was carried out to further narrow down the factors important to the industry, prioritizing them with a pairwise comparison analysis as envisaged in the analytical hierarchy process (AHP) technique along with the calculation of consistency ratios. Technique for order preference by similarity to ideal solution (TOPSIS) methodology was further used for data aggregation.
Findings
This research brought forward the criteria that are useful for rating vendors or suppliers with reference to 3DP sector.
Originality/value
This paper integrates AHP and TOPSIS to solve a multi-criteria vendor rating problem. The attempt was made to make vendor rating process universal so that it can encompass all the vendors of the firm.
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Abhishek Ghosh, Subodh Bn, Kshitiz Sharma, Fazl e Roub, Tathagata Mahintamani, Debasish Basu and Surendra Kumar Mattoo
Individuals with dual diagnoses might experience significant clinical and social vulnerabilities during the pandemic and lockdown. This study aims to compare medication adherence…
Abstract
Purpose
Individuals with dual diagnoses might experience significant clinical and social vulnerabilities during the pandemic and lockdown. This study aims to compare medication adherence, substance use, clinical stability and overall functioning before and during lockdown periods.
Design/methodology/approach
This was a cross-sectional survey among patients registered in dual diagnosis clinic of an addiction psychiatry center in Northern India between March 2019 and February 2020. This study approached 250 patients for telephonic interviews. This study assessed adherence to medications with the brief adherence rating scale (BARS). Global functioning was measured by global assessment of functioning. Clinical interviews assessed substance use and the clinical status of psychiatric disorders.
Findings
One hundred fifty patients were recruited. The mean age of the sample was 35.8 years. The sample had a slight preponderance of alcohol dependence. Depressive disorder was the largest category of psychiatric diagnosis. Compared to prelockdown period, during the lockdown, there were an increased number of days of nonadherence (X2 17.61, p < 0.05), proportion of patients underdosing (X2 8.96, p = 0.003) and lower BARS scores (t = 10.52, df = 144, p < 0.0001). More patients were abstinent from substances during the lockdown (X2 49.02, p < 0.0001). Clinical stability of psychiatric disorders did not differ during the two-time points, but overall functioning decreased during the lockdown (t = 2.118, p = 0.036). This study observed a small positive correlation (r = 0.2, p = 0.02) between functioning and adherence levels.
Originality/value
Lockdown was associated with poor medication adherence, change in substance use patterns and functional impairment. In the future, treatment programs and policies must take preemptive steps to minimize the effects of restrictions.
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Rupesh Kumar and Surendra Kansara
The purpose of this paper is to find out possible barriers of information technology (IT) applications in the supply chain system of sugar industry in India. All these barriers…
Abstract
Purpose
The purpose of this paper is to find out possible barriers of information technology (IT) applications in the supply chain system of sugar industry in India. All these barriers have their strategic importance for serving the supply chain partners in better way and also help in improving the Indian agrarian economy. The study is a blend of theoretical and practical frameworks, which would focus on those key factors or IT barriers leading to implementation of IT in the sugar supply chain.
Design/methodology/approach
The paper is based on theoretical exploration of potential barriers IT applications in the supply chain system of sugar industry in India and prioritizing these barriers by employing multi-criteria decision-making approach.
Findings
The findings of this paper are identification of barriers of IT applications in the supply chain system of sugar industry in India, and ranking of these barriers in terms of its severity.
Research limitations/implications
Potential barriers of IT applications in the supply chain system of sugar industry in India considered in to the study are 11 in total. There can be more barriers of IT applications in the supply chain system.
Originality/value
This study reveals the application of analytic hierarchy process (AHP) and fuzzy AHP to Indian sugar industry for prioritizing the IT barriers which influence the sugar supply chain.