Hybrid journal (It can contain Open Access articles) ISSN (Print) 1741-1041 - ISSN (Online) 1741-105X Published by Inderscience Publishers[439 journals]
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Authors:Sana Vakeel, Sunita Shukla, Vikas Singh Pages: 482 - 496 Abstract: Being happy at the workplace is all about enjoying what employees do and admire where they work. Workplace happiness not only yields positive results for an employee but also for the organisation in which one works. Since employees spend much of their lives at the workplace, it is crucial to understand the impact of workplace happiness on various factors such as job satisfaction, employee engagement and effective organisational commitment. The current study examined the impact of workplace happiness on employee engagement for employees working in the IT and non-IT sectors in Delhi-NCR, India. Regression analysis result shows that 22.7% of the variation in the employee engagement is explained by workplace happiness. The impact of workplace happiness on employee engagement was found to be almost similar in IT and non-IT sector employees. The study uses Karl Pearson's correlation and regression analysis for data analysis. Keywords: workplace happiness; employee engagement; job satisfaction; information technology Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 482 - 496 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135031 Issue No:Vol. 12, No. 4 (2023)
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Authors:Sana Vakeel, Sunita Shukla, Vikas Singh Pages: 497 - 512 Abstract: The aim behind this study is to understand the employee perspective regarding employee engagement practices in automobile industry operating in Delhi NCR. This paper gives emphasis on various practices of employee engagement which leads to organisational growth. Both primary and secondary data has been collected for the research. Primary data for current study consists of questionnaire and interviews, the secondary data for research consists business journals, newspapers, magazines, periodicals, etc. Validity of questionnaire is verified by Cronbach alpha test and for each variable it is greater than 0.5. Random samples of five Indian automobile companies operating in Delhi NCR were selected and a survey was conducted targeting 20 employees from each organisation. Correlation and descriptive statistics analysis has been used for empirical analysis and interpretation of data. The study shows that the null hypothesis is accepted which states that employees have awareness regarding employee engagement practices followed in their organisation. Keywords: employee engagement; organisational effectiveness; employee effectiveness; Indian automobile industry Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 497 - 512 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135033 Issue No:Vol. 12, No. 4 (2023)
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Authors:Poonam Khurana, Swati Narula, Parul Manchanda Pages: 513 - 523 Abstract: Happiness at the workplace mentions, how contented people are with their work life. The study aimed to examine the level of work engagement of the faculty members working at different institutes in Delhi/NCR region. This study is explanatory in nature aimed to describe the status of work engagement and happiness at workplace perceived by the faculty members of various colleges/institutes in Delhi/NCR region. Utrecht work engagement scale was utilised to capture the level of faculty engagement. The Oxford Happiness Questionnaire developed by Michael Argyle and Peter Hills was used to examine the level of happiness perceived by the faculty members. The present research has shown that faculty has reported a high or above average level of work engagement (WE). The results indicated that there is significant positive relationship between relationship WE and happiness of the faculty members. The regression analysis has shown that vigour is a positive significant predictor of happiness. Keywords: happiness; work engagement; performance; faculty; satisfaction; relationship Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 513 - 523 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135034 Issue No:Vol. 12, No. 4 (2023)
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Authors:Pragya Joshi, Akash Singh Kunwar Pages: 524 - 539 Abstract: In the era of digital world, text is not confined to textbooks or newspapers anymore. People use platforms like Twitter, Facebook, Quora, and other social media platforms to express their opinions over certain products, movies, social, economic or political causes. Huge chunks of textual data are available on these platforms for analysis. This paper tries to leverage deep learning and natural language processing (NLP) to use the publicly available text data to predict outcomes of Indian general elections by analysing the tweets with hashtags for various parties, using opinion mining to define polarity in the opinions. It tries to adopt a hybrid approach using NLP. The results from the analysis help in highlighting the potential of machine learning in predicting the election results and identifying the political inclination of people towards specific policies thus, indicating the efficiency of using social media to predict real-world outcomes. Keywords: Twitter; sentiment analysis; machine learning; decision tree; random forest Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 524 - 539 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135035 Issue No:Vol. 12, No. 4 (2023)
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Authors:Pragya Joshi, Akash Singh Kunwar Pages: 540 - 550 Abstract: This research is to study customer satisfaction with the internet banking services. The factor of customer satisfaction with internet banking was identified by review of literature and pilot study. Three variables were identified, efficiency, safety and responsiveness in internet banking services. It is a descriptive type of research and based on primary and secondary data. The result of the percentage analysis proved that customers are satisfied with internet banking services. The satisfaction is high for the factors: cost of transaction is low, easy to use, and instant message after every transaction; while the satisfaction is lowest for the factors: requests are handled promptly and error-free transaction. The result shows that the level of education has a negative correlation with customer satisfaction. It means that highly educated respondents were less satisfied than the less educated respondents. The result shows that there is no significant difference in customer satisfaction between public and private sector bank. Keywords: customer satisfaction; banking; internet banking services; e-banking Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 540 - 550 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135036 Issue No:Vol. 12, No. 4 (2023)
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Authors:Rajbala Singh, Deepak Kumar, Bharat Bhushan Sagar Pages: 551 - 570 Abstract: In the 21st century, software engineering is focused on giving a quality product on time along with coping with the on-going market demand and its conditions. Hence, there is a technique of interpretive structural modelling (ISM) which is highly established in the field of research to mark interrelationships among different attributes. ISM uses a step by step technique to address the issue. Based on the relativity for comparison of variables and analysing criteria, structural self-interaction matrix (SSIM) is established. Reachability matrix (RM) is developed from (SSIM) and its transitivity are evaluated based on various attributes for their effective execution in the changing environment. Primarily, focus is on the ISM model in order to distinguish important features and then apply two-way assessment which considers the perspective of management along with testers and thus highlights the importance of various traits to measure the overall utility considering the threshold scenario in an organisation. Keywords: interpretive structural modelling; ISM; RM; transitivity; structural self-interaction matrix; SSIM; two-way assessment Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 551 - 570 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135037 Issue No:Vol. 12, No. 4 (2023)
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Authors:Rajni Joshi, Asheesh Pandey, Karamjeet Singh Pages: 571 - 583 Abstract: We examine whether the risk characteristics have any role in explaining rate of adjustment speed (RAS) towards target debt ratio of firms listed in BSE 500 index. Using generalised methods of moments (GMM) estimation technique we show that macroeconomic risk and micro risk significantly affects the RAS of firms towards its target debt level evidencing that both micro and macro risk affects the rate of adjustment speed of capital structure differently. We observe variations in RAS across firms and over times due to risk characteristics. The results bear important implications for academia and managers as well as regulators. For academic, we provide possibly the first out of sample study for India, which contributes to the existing body of literature. Managers must identify the barriers involved in achieving target debt ratio, which would promote the growth of the firms. Keywords: dynamic capital structure; speed of adjustment; GMM estimation; micro-risk characteristics; macro-risk characteristics; India Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 571 - 583 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135038 Issue No:Vol. 12, No. 4 (2023)
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Authors:Sudhi Sharma, Miklesh Prasad Yadav Pages: 584 - 601 Abstract: The current stock of knowledge based on Sharpe (1963) single index model is the pure manifesto of the model, i.e., selecting stocks, and finally, weights have allocated according to z values. However, the real question is that the securities filtered with the application of the model are actually showing healthy financials. High yields may be because of insider trading that creates a bubble in the market and thus departs from its real fundamentals. The underlying gap motivates the author to analyse further the selected stocks filtered by the application of the Sharpe model. The paper is not only the mere application of the method and model but also supported with fundamental analysis to substantiate the strength of the model. The identification of value buying stocks has been achieved effectively by the application of Sharpe single index model in multiple layers. Keywords: Sharpe single index model; fundamental analysis; Indian market; India Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 584 - 601 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135039 Issue No:Vol. 12, No. 4 (2023)
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Authors:Sunil Kumari, Sanjay Nandal Pages: 602 - 609 Abstract: Self-awareness is the source of happiness and is the core of life as well, but whether it affects the work performance, is researchable. The present study aims at exploring the relationship of happiness and self-awareness with work performance. Likert scale has been used for questionnaire development, for collecting the primary data from 506 people, which has been analysed in terms of correlation and regression using Jamovi software. The study reveals the significant impact of happiness and self-awareness on work performance. The coefficient of self-awareness depicts that every unit change in self-awareness changes the work performance. Both happiness and self-awareness are significant variables. Therefore, it can be said that happiness and self-awareness drive the work performance positively and significantly. Keywords: happiness; self-awareness; work performance; relationship; India Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 602 - 609 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135040 Issue No:Vol. 12, No. 4 (2023)
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Authors:Isha Gupta, Nandita Mishra, Naliniprava Tripathy Pages: 610 - 629 Abstract: Mergers and acquisitions (M&A) remain a dominant business expansion strategy for firms worldwide, despite there having no conclusive evidence whether it creates value or not. This paper analyses the impact of M&A on synergy success and efficiency gains through trade-off matrix and their impact on research and development (R&D). The dataset has 64 firms of the non-financial sector. The data period has been divided into two period of time, i.e., pre-merger period (2012 to 2014) and post-merger period (2016 to 2018). The panel data methodology has been applied, which has two techniques of estimation, one is the fixed effect model and the other is the random effect model. This study concludes that the M&A creates a trade-off between efficiency gains and synergy success; it also suggests that if acquiring companies' increases expenditure on R&D, it can achieve success in synergies which will lead to technological innovation and will impact technological advancement after M&A of acquiring companies significantly. Keywords: research and development; R&D; mergers and acquisitions; M&A; synergy success; efficiency gains; fixed effect model Citation: International Journal of Public Sector Performance Management, Vol. 12, No. 4 (2023) pp. 610 - 629 PubDate: 2023-11-28T23:20:50-05:00 DOI: 10.1504/IJPSPM.2023.135032 Issue No:Vol. 12, No. 4 (2023)
Hybrid journal (It can contain Open Access articles)
[439 journals]
