Exploring the psychometric properties of personal optimism and self-efficacy optimism-extended (POSO-E) scale among Indian teachers Nidhi Sharma, Anchal Pathak, B. Latha Lavanya, Naval Garg, Kusum Lata Benchmarking, 2023 PurposeThe present study aimed to evaluate the psychometric properties of the short form of personal optimism and self-efficacy optimism-extended (POSO-E) among Indian teachers.Design/methodology/approachTwo studies were conducted to adjudge the reliability and validity of the scale. In the first study, the sample of 510 respondents was randomly divided into subsamples. The first subsample was subjected to the Exploratory Factor Analysis which yielded a two-factor solution explaining 71.02% of the variance. This model was subjected to the Confirmatory Factor Analysis using a second subsample. Acceptable model fit indices suggested factorial validity of the two-dimensional POSO-E among Indian teachers. In the second study, acceptable Cronbach's alpha and composite reliability estimates (greater than 0.70) indicated the scale's reliability. Also, as expected, personal optimism, self-efficacy optimism and overall optimism reported a positive correlation with spiritual well-being and a negative association with distress. It confirmed the criterion validity of the POSO-E among Indian teachers.FindingsThe results showed appreciable psychometric properties of the POSO-E in the context of Indian teachers. The study offered a valid and reliable scale to measure teachers' optimism levels. It is poised to generate renewed interest among scholars to emphasize teachers' positive and optimist thinking. The findings also reported a positive association between teachers' optimism and spiritual well-being. It suggests that spiritual practices and interventions could be used to develop an optimistic academic workforce.Originality/valueThe study is one of the pioneer studies that evaluated the reliability and validity of the POSO-E among Indian teachers.
Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19 Manish Mohan Baral, Subhodeep Mukherjee, Ramji Nagariya, Bharat Singh Patel, Anchal Pathak, et al. Benchmarking, 2023 PurposeThe micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances.Design/methodology/approachThe exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model.FindingsCritical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs.Practical implicationsThe current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance.Originality/valueThe previous researches have not considered the effect of “organizational resilience” on the “firm performance” of MSMEs. This study attempts to fill this gap.
Evaluation of energy consumption data for business consumers A Pathak, AD Anbu, ABA Jamil, SK Vohra, SK Gupta, AK Pandey, ... Environment, Development and Sustainability, 1-24 , 2025 2025 Citations: 9
Introduction to 5G new radio S Garg, SK Gupta, AD Anbu, A Pathak Machine Learning for Mobile Communications, 1-14 , 2024 2024 Citations: 5
Reciprocated Bayesian–Rnn Classifier-Based Mode Switching and Mobility Management in Mobile Networks SK Gupta, A Pathak, N Soni Machine Learning for Mobile Communications, 116-132 , 2024 2024 Citations: 6
Research on Organizational Behavior and Human Resource Management's Policy Recommendations SK Vohra, A Pathak Advancements in Business for Integrating Diversity, and Sustainability, 198-203 , 2024 2024
The Evolution of Human Resource Management through Digitalization SK Vohra, A Pathak Advancements in Business for Integrating Diversity, and Sustainability, 204-209 , 2024 2024
Adoption of Artificial Intelligence Technology for Effective Human Resource Management A Pathak, P Tyagi, B Sharma, R Natarajan Advancements in Business for Integrating Diversity, and Sustainability, 149-153 , 2024 2024
Human Resource Development as a Component of Long-term HR Management Emphasizing Production Engineers A Khang, A Pathak Advancements in Business for Integrating Diversity, and Sustainability, 191-197 , 2024 2024 Citations: 1
Analysing the role of Industry 4.0 in sustainable lean manufacturing NA Daniel, A Pathak, P Ravichandran, SV Adith, N Kumar International Journal of Services and Operations Management 48 (1), 62-79 , 2024 2024 Citations: 6
4 AI-Based Competency Model and Design P Somani, SK Gupta, CK Dixit, A Pathak Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI … , 2023 2023
11 Prediction of Employees’ Performance Using Machine Learning (ML) Techniques A Pathak, CK Dixit, P Somani, SK Gupta Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI … , 2023 2023
AI-based Competency Model and Design in the Workforce Development System P Somani, SK Gupta, CK Dixit, A Pathak Designing Workforce Management Systems for Industry 4.0, 47-64 , 2023 2023 Citations: 10
Data-centric predictive modeling of turnover rate and new hire in workforce management system CK Dixit, P Somani, SK Gupta, A Pathak Designing Workforce Management Systems for Industry 4.0, 121-138 , 2023 2023 Citations: 13
Prediction of Employees' Performance using Machine Learning (ML) Techniques A Pathak, CK Dixit, P Somani, SK Gupta Designing Workforce Management Systems for Industry 4.0, 177-196 , 2023 2023 Citations: 21
Data mining processes and decision-making models in the personnel management system SK Gupta, A Khang, P Somani, CK Dixit, A Pathak Designing Workforce Management Systems for Industry 4.0, 85-104 , 2023 2023 Citations: 57
Exploring the psychometric properties of personal optimism and self-efficacy optimism-extended (POSO-E) scale among Indian teachers N Sharma, A Pathak, BL Lavanya, N Garg, K Lata Benchmarking: An International Journal 30 (7), 2234-2247 , 2023 2023 Citations: 12
Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19 MM Baral, S Mukherjee, R Nagariya, B Singh Patel, A Pathak, ... Benchmarking: An International Journal 30 (6), 1942-1965 , 2023 2023 Citations: 68
Government implications of infrastructural development and CSR in industry 4.0 T Saharan, A Pathak Industry 4.0 and the Digital Transformation of International Business, 251-271 , 2023 2023 Citations: 4
AI-based Competency Model and Design in the Workforce Development System , CRC Press P Somani, SK Gupta, CK Dixit, A Pathak 2023 Citations: 2
Data Mining Processes and Decision-Making Models in Personnel Management System, CRC Press SK Gupta, A Khang, P Somani, CK Dixit, A Pathak 2023
Impact of COVID-19 Vaccination: A Machine Learning Approach E Gupta, M Goyal, A Srivastava, A Pathak Proceedings of the Third International Conference on Information Management … , 2022 2022 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19 MM Baral, S Mukherjee, R Nagariya, B Singh Patel, A Pathak, ... Benchmarking: An International Journal 30 (6), 1942-1965 , 2023 2023 Citations: 68
Data mining processes and decision-making models in the personnel management system SK Gupta, A Khang, P Somani, CK Dixit, A Pathak Designing Workforce Management Systems for Industry 4.0, 85-104 , 2023 2023 Citations: 57
Understanding perceived risk: A case study of green electronic consumer products VK Pathak, A Pathak Management Insight 13 (1), 33-37 , 2017 2017 Citations: 35
Prediction of Employees' Performance using Machine Learning (ML) Techniques A Pathak, CK Dixit, P Somani, SK Gupta Designing Workforce Management Systems for Industry 4.0, 177-196 , 2023 2023 Citations: 21
Data-centric predictive modeling of turnover rate and new hire in workforce management system CK Dixit, P Somani, SK Gupta, A Pathak Designing Workforce Management Systems for Industry 4.0, 121-138 , 2023 2023 Citations: 13
Exploring the psychometric properties of personal optimism and self-efficacy optimism-extended (POSO-E) scale among Indian teachers N Sharma, A Pathak, BL Lavanya, N Garg, K Lata Benchmarking: An International Journal 30 (7), 2234-2247 , 2023 2023 Citations: 12
AI-based Competency Model and Design in the Workforce Development System P Somani, SK Gupta, CK Dixit, A Pathak Designing Workforce Management Systems for Industry 4.0, 47-64 , 2023 2023 Citations: 10
Evaluation of energy consumption data for business consumers A Pathak, AD Anbu, ABA Jamil, SK Vohra, SK Gupta, AK Pandey, ... Environment, Development and Sustainability, 1-24 , 2025 2025 Citations: 9
Transforming Human Resource Functions with Automation A Pathak, S Rana IGI Global , 2020 2020 Citations: 7
Reciprocated Bayesian–Rnn Classifier-Based Mode Switching and Mobility Management in Mobile Networks SK Gupta, A Pathak, N Soni Machine Learning for Mobile Communications, 116-132 , 2024 2024 Citations: 6
Analysing the role of Industry 4.0 in sustainable lean manufacturing NA Daniel, A Pathak, P Ravichandran, SV Adith, N Kumar International Journal of Services and Operations Management 48 (1), 62-79 , 2024 2024 Citations: 6
Introduction to 5G new radio S Garg, SK Gupta, AD Anbu, A Pathak Machine Learning for Mobile Communications, 1-14 , 2024 2024 Citations: 5
Coping With Deviant Workplace Behavior Through Employee Participation: An Exploratory Study S Rana, A Pathak Analyzing Workplace Deviance in Modern Organizations, 270-283 , 2020 2020 Citations: 5
Government implications of infrastructural development and CSR in industry 4.0 T Saharan, A Pathak Industry 4.0 and the Digital Transformation of International Business, 251-271 , 2023 2023 Citations: 4
Analysis of factors impacting firm performance of MSMEs: lessons learnt from COVID-19. Benchmarking MM Baral, S Mukherjee, R Nagariya, B Singh Patel, A Pathak, ... An International Journal , 2022 2022 Citations: 4
AI-based Competency Model and Design in the Workforce Development System , CRC Press P Somani, SK Gupta, CK Dixit, A Pathak 2023 Citations: 2
Human Resource Development as a Component of Long-term HR Management Emphasizing Production Engineers A Khang, A Pathak Advancements in Business for Integrating Diversity, and Sustainability, 191-197 , 2024 2024 Citations: 1
Impact of COVID-19 Vaccination: A Machine Learning Approach E Gupta, M Goyal, A Srivastava, A Pathak Proceedings of the Third International Conference on Information Management … , 2022 2022 Citations: 1
Addiction to Social Media Platforms and Perceived Stress Level Amongst Youth of India: A Machine Learning Approach DE Gupta, DA Srivastava, DM Goyal, DA Pathak Proceedings of the International Conference on Advances in Management … , 2021 2021 Citations: 1
Research on Organizational Behavior and Human Resource Management's Policy Recommendations SK Vohra, A Pathak Advancements in Business for Integrating Diversity, and Sustainability, 198-203 , 2024 2024