Search results

Individuals often look up to external influencers (leaders) that determine their conduct and form their perception regarding organizational policies and practices which constitute their organizational climate. The importance of organizational climate has been realized off late in various job outcomes among doctors, such as commitment, turnover, etc. Therefore this study aims to investigate the relationship of ethical leadership with organizational climate that may further affect the commitment of doctors in Indian hospitals.

An empirical study has been done in 10 public and private Indian hospitals using a questionnaire survey. Data were collected from a sample of 537 doctors, which were further analyzed statistically using structural equation modeling (SEM) through AMOS and SPSS software.

The results show a significant influence of ethical leadership on organizational climate and organizational climate further has significant relationship with commitment of doctors in Indian hospitals.

The study has important implication for hospital administration, to identify and place an ethical leadership team at the top, which will further influence the behavior of the followers (doctors). This will further lead to formation of favorable organizational climate fostering commitment in doctors.

This is one of the few studies that determines the relationship of ethical leadership with organizational climate and it's further influence on commitment of doctors in large (500 beds and above) public and private hospitals in Indian context.

Introduction: Artificial intelligence (AI) assists recruiters in effectively and efficiently nominating applicants precisely and accurately. It helps in the screening of resumes without biasness. This chapter will identify different AI technology and various organisations using it fully or partially.

Purpose: This chapter aims to get insights about various AI tools that assist human recruiters, save time and cost, and provide modern experiences. It will help identify various applications that are currently in use and their features. It also helps in finding out the benefits and the challenges faced by the recruiters and the applicants while assimilating those applications in hiring.

Need for the Study: The study will be helpful to all those recruiting firms who are presently using AI or not using it to understand the benefits and challenges they might face.

Methodology: The chapter will be based on reviews and industry reports. This chapter will include a study related to human resource (HR) functions where AI is used. To give more insights into AI technology, this study mentions various applications like Mya, Brazen, etc., and their usefulness in recruitment. Also, special emphasis would be given to the recruitment functions as most companies use AI. Some companies like Deloitte and Oracle are using AI fully or partially will also be incorporated.

Findings: The study finds out that although many companies have started to use AI tools for recruitment, they have not explored all the algorithms that can be used to complete the whole recruitment and selection process. Companies like Loreal use AI for candidate applications and recruiter screening, but human recruiters stand strong for assessments and interviews. AI’s widespread use presents human resource management (HRM) practitioners with both opportunities and challenges.

Practical implications: The basic idea of the study is to scrutinise the related literature and find out the features, advantages and limitations/challenges of using AI which would be helpful for recruiters in better understanding of the technology-driven recruitment.

This paper aims to study the weak form of efficiency of Indian capital market during the period of global financial crisis in the form of random walk.

The study considered daily closing prices of S&P CNX Nifty, BSE, CNX100, S&P CNX 500 from April 1, 2005 to March 31, 2010. The data source is the equity market segment of NSE and BSE. Both parametric and nonparametric tests (“ex‐posts” in nature) are applied for the purpose of testing weak‐form efficiency. The parametric tests include Augmented Dickey‐Fuller (ADF) unit root tests and nonparametric tests include Phillips‐Perron (PP) unit root tests and Run test. ADF tests use a parametric autoregressive structure to capture serial correlation and PP tests use non‐parametric corrections based on estimates of the long‐run variance of ΔY_t.

The results suggested that the Indian stock market was efficient in its weak form during the period of recession. It means that investors should not be able to consistently earn abnormal gains by analysing the historical prices. Hence one should not be able to make a profit from using something that everybody else knows.

The study reports that all the stocks in these selected indices are fundamentally strong and their prices are not influenced largely by historical prices and other relevant factors which came from industry and any other information that is publically available. Thus it can be concluded that the Indian stock market was informationally efficient and no investor can usurp any privileged information to make abnormal profits.

Where past studies have examined the weak‐form of efficiency of various markets and the effect of globalisation and global financial crisis on the various sectors of developing and emerging economies, this paper attempts to study the weak form of efficiency of the Indian capital market in the period of recession in the form of random walk.

From the dedication–constraint perspective, this study aims to complement ongoing discussions on the effects of switching costs on performance and explain the role of customer involvement and relationship quality in the relationship between switching costs and performance.

After collecting data from Chinese manufacturing firms, the authors employed structural equation modeling to test their theoretical model incorporating switching costs, new product development performance, relationship quality and customer involvement.

The findings show that switching costs negatively affect three dimensions of new product development performance covering new product development market performance, new product development speed, new product development cost. More importantly, relationship quality positively moderates the relationship between switching costs and new product development performance, while customer involvement takes positive moderation effects.

These conclusions contribute to the knowledge of switching costs and supplier–customer relationship, and provide theoretical contributions and managerial insights for both academics and practitioners.

The purpose of this paper is to examine the informational efficiency and integration simultaneously for select Asian and US stock markets while considering the impact of recent financial crisis.

Daily stock market data from 13 world markets covering the period of ten years (from January 1, 2000 to December 31, 2010) is tested using Run test, Unit root test, GARCH(1, 1) model, Pearson correlation coefficient, Johansen’s cointegration test and Granger causality test.

It is concluded that the markets under study are inefficient in weak form which creates the chances of earning abnormal returns for the investors. Furthermore, the markets are found to be correlated and integrated in long-run, which makes the international fund diversification insignificant. The degree of inefficiency, in general, is not affected by the recent financial crisis but the level of integration among stock markets is reduced with the effect of recent financial crisis.

Individual/institutional investors, portfolio managers, corporate executives, policy makers and practitioners may draw meaningful conclusions from the findings of this type of researches while operating in stock markets. They can use such studies for the management of their existing portfolios as their portfolio management strategies may be, up to some extent, dependent upon such research work.

The originality of the present study lies in the fact that this paper is an attempt to fill the time gap of comprehensive researches on Asian and US markets and an effort to test stock market efficiency and integration simultaneously.

It is crucial for the Indian micro, small and medium enterprises (MSMEs) to implement a few of the most important Industry 4.0 (I4.0) technologies and reap maximum benefits of sustainability. This paper aims to prioritize I4.0 technologies that can help achieve the sustainable operations and sustainable industrial marketing performance of Indian manufacturing MSMEs.

I4.0-based sustainability model was developed. The model was analyzed using data collected from MSMEs by deploying analytic hierarchy process and utility-function-based goal programming. To have a better understanding, interviews were conducted.

Predictive analytics, machine learning and real-time computing were found to be the most important I4.0 technologies for sustainable performance. Sensitivity analysis further confirmed the robustness of the results. Business-to-business sustainable marketing is prioritized as per the sustainability need of operations of industrial MSME buyers.

This study uniquely integrates literature and practitioners’ insights to explore I4.0’s role in MSMEs sustainability in emerging economies. It fills a research gap by aligning sustainability goals of industrial buyers with suppliers’ marketing strategies. Additionally, it offers practical recommendations for implementing technologies in MSMEs, contributing to both academia and industry practices.

This paper aims to reduce waste management and generate wealth by investigating the novelty of combining chicken feather fiber and bamboo particles to produce hybrid biocomposites. This is part of responsible production and sustainability techniques for sustainable development goals. This study aims to broaden animal and plant fiber utilization in the sustainable production of epoxy resins for engineering applications.

This research used two reinforcing materials [chicken feather fiber (CFF) and bamboo particles (BP)] to reinforce epoxy resin. The BPs were kept constant at 6 Wt.%, while the CFF was varied within 3–15 Wt.% in the composites to make CFF-BP polymer-reinforced composite (CFF-BP PRC). The mechanical experiment showed a 21% reduction in densities, making the CFF-BP PRC an excellent choice for lightweight applications.

It was discovered that fabricated composites with 10 mm CFF length had improved properties compared with the 15 mm CFF length and pristine samples, which confirmed that short fibers are better at enhancing randomly dispersed fibers in the epoxy matrix. However, the ballistic properties of both samples matched. There is a 40% increase in tensile strength and a 54% increase in flexural strength of the CFF-BP PRC compared to the pristine sample.

According to the literature review, to the best of the authors’ knowledge, this is a novel study of chicken fiber and bamboo particles in reinforcing epoxy composite.