Search results

The role of information and communications technology (ICT) has been tested in various contexts of online shopping and the results show that ICT has successfully transformed the way of doing business. This study aims to propose that if women have adequate internet skills, namely, operative, informational and creative skills, their entrepreneurial intentions will be high.

This is descriptive research. The data was collected from 246 university students and analyzed using PLS-SEM.

The results of the study show that students belonging to entrepreneurial backgrounds have a positive attitude toward entrepreneurship. The impact of internet skills was mixed on the relationship of entrepreneurial attitude and entrepreneurial intention.

The sample was not generalized as the sample consisted of urban and internet-using women. Future research can test the model for rural women entrepreneurs or usage of m-commerce for the same.

The results of the study show that women having the skills to operate the internet have higher intentions to become an entrepreneur. Thus, the e-commerce web-space can use the results to influence women of the new generation to use available tools in their journey of entrepreneurship.

Women are an indispensable part of society. Empowering them will not only improve their confidence but will also strengthen the pillars of society.

Extensive research work has been done in the context of women entrepreneurship. The study is a novel attempt to test the effects of internet skills on entrepreneurial intention among new generation women. The results will be very much useful for future research and will extend the body of academic literature.

The purpose of this paper is to investigate the relationship between perceived organizational politics and three levels of antecedents (i.e. organizational, work environment and individual levels) and its consequents. It further aims to examine the relative importance of the three levels of antecedents in influencing employees’ POP. The study has been conducted at a central university in India.

A conceptual framework and a set of hypotheses were first developed on the basis of a review of previous studies of organizational politics (OP). A questionnaire was then developed, carrying 55 items related to eight constructs and the demographic characteristics of its respondents. Judgmental sampling was used to choose the university. The respondents were selected on the basis of convenience. Primary data were collected via a structured questionnaire from 45 faculty members at the university. The sample was made up of professors, associate professors and assistant professors from its various departments. To test the hypotheses, data were analyzed using partial least squares structural equations modeling (PLS-SEM).

The results have indicated that all the three levels of antecedents have significant impacts on POP. The antecedents of workforce diversity (the organizational level), relationship conflict (the work environment level) and a need for power (the individual level) have a significant positive impact on POP. No relationship was found between role conflict and POP. Of the three levels of antecedents, it was observed that the organizational level contributed most significantly to POP. Of the three consequences, the intention to turnover and job anxiety were found to be positively related to POP, while organizational commitment was negatively related to it.

The study provides managerial insights for both organizations and managers. Workforce diversity is a primary driver of POP and it is under the purview of organizations. Thus, to control the unfavorable consequences of POP, organizations must design effective policies to manage workforce diversity. Specifically, human resource processes must be formalized. Since human managers often make decisions in favor of those who are relatively homogeneous to them (homosocial reproduction), the distribution of resources and benefits is restricted to a few people only. Those who do not get their share of organizational resources perceive such acts of homosocial reproduction to be political. If policies are formalized, people have to take decisions within the boundaries of well-defined sets of rules and procedures. Those who are not homogeneous with decision-makers (the outgroup) should get a fair share of organizational resources in such a formalized environment. They neither need to play political games to gain power, nor will they perceive the organizational processes and environment to be political. It is also suggested that managers design effective development programs for enhancing the political skills of “outgroups” and minorities. This would help them to understand how to deal with political situations. Thus, the detrimental effects of employees’ political perceptions on work-related outcomes would be reduced.

Although a large number of studies on the antecedents and consequents of POP have been reported, the antecedents and consequences mentioned herein have never been examined previously by a single study. Four antecedents are introduced at three levels. Furthermore, in previous research, the relationships examined have treated OP either as a dependent variable or an independent variable. However, for this paper, the authors have provided a PLS-SEM-based model, which allows for simultaneous treatment of organizational politics as an independent variable in some relationships, and as a dependent variable in other relationships.

The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance (profit).

Primary data were collected from dairy entrepreneurs in India, covering nine states. A multinomial treatment effect model (controlling for selection bias and endogeneity) was used to evaluate the impact of the choice of the value chain on entrepreneurs' profit.

Dairy entrepreneurs operating in any recognized value chain other than the value chain driven by the consumer household realize a comparatively lesser profit. Dairy farmers have established direct linkages with customers in urban areas – who could pay premium prices for safe and quality milk. Food safety compliance is positively associated with profit and entrepreneurs (who have undergone formal training in dairying) preferred partnerships with a formal value chain. The prospects of starting a dairy enterprise are slightly higher in villages compared to urban areas.

Dairy entrepreneurs can make a shift in accordance with the study's findings and boost their profitability. It aids in comprehending how trainees (who obtained advice and training for raising dairy animals from R&D organizations) and non-trainee dairy farmers make value chain selections, which ultimately affect profitability. However, purposive sampling and a small sample size limit the universal implications of the study.

Developing entrepreneurial behavior and startup culture is at the center of policymaking in India. The findings imply that the emerging value chain not only enhances the profit of dairy farmers by resolving consumer concerns about food safety and the quality of milk and milk products but also builds consumer trust.

This paper offers insight into how the benefits of dairy entrepreneurs vary with their participation in the different value chains. The impact of skill development/training programs on value chain selection and farm profitability has not yet been fully understood. Here is an attempt to fill this gap. This paper through light on how trained and educated dairy entrepreneurs are able to establish a territorial market by approaching premium customers – this is an addition to the existing literature.

The objective of this paper is to investigate the effect of working capital efficiency (WCE) and its components on the composite financial performance of a sample of Indian firms.

Our sample includes 796 non-financial listed firms from 2015–16 to 2021–22. Sample firms’ profitability, liquidity, solvency, cash flow management, and financial and operational leverage have been used to classify them into companies with high composite financial performance (HCFP) and with low composite financial performance (LCFP) by using K-Means Clustering technique. A composite financial performance score (CFPS) of 1 has been assigned to HCFP and 0 to LCFP. We have used logistic regression models with fixed effect to estimate the effect of cash conversion cycle (CCC) and its components, i.e. inventory days, accounts receivable days and accounts payable days on CFPS in the presence of control variables such as growth, leverage, firm size, and age.

The study finds that CCC and inventory days are inversely associated with CFPS. This finding shows that the firms’ WCE leads to superior financial performance on a composite basis.

The research findings are based on samples drawn from the population of the listed Indian non-financial companies. Since the operation, financial practices, working capital policies, and management styles of firms vary greatly among nations, the results of this study should be extended to firms in other countries after taking into account the degree of resemblance to the sample firms.

The findings of this study hold significant value for industry practitioners, as they provide guidance in determining the optimal allocation of funds for working capital and devising strategies for effectively managing inventory levels, credit sales, and vendor payments in order to increase the overall value of the company. This study aims to help investors in building their investment portfolios by identifying companies with superior composite financial performance. Investors can enhance the construction of their investment portfolios by strategically selecting companies that demonstrate superior overall performance.

The results of our study will help companies improve their WCM strategies to enhance their overall value, and their significance increases manifold during economic downturns. Business firms that perform well by efficiently managing their working capital have a multiplier effect on the economy and society at large in the form of GDP contribution, labor income, taxes to the government, investment in capital assets, and payments to suppliers.

To understand the impact of WCE on firms’ performance, the extant working capital literature focuses on some specific characteristics such as profitability, valuation, solvency, and liquidity. The limitation of employing a single parameter is its inability to present the comprehensive performance evaluation of firms. This study is among the earliest studies that focus on the holistic evaluation of WCE's impact on the composite performance of a company.

This study aims to analyze the dynamic performance of aerostatic thrust bearing for different geometries of recess. Different geometries of recess of equal recess area, i.e. circular, elliptical, rectangular and annular, have been considered in analysis. The work also analyzes the influence of tilt angle on the performance of thrust bearing. To compute the unknown pressure field, the Reynolds equation governing the flow of compressible lubricant (air) has been solved using finite element formulation. Further, separate finite element formulations have been carried out to compute fluid film stiffness and damping coefficients directly. This method provides quick computation of stiffness and damping coefficients of aerostatic thrust bearing than the usual approach.

As the Reynolds equation governing the flow of compressible lubricant is nonlinear partial differential equation, the computation of the stiffness and damping coefficient follows an iterative procedure. It requires a lot of computational energy. Therefore, in the present work, a novel technique based on finite element formulation is suggested to compute air film stiffness and damping coefficient in aerostatic thrust bearing.

A novel technique based on finite element formulation is illustrated to simulate the performance of tilted pad aerostatic thrust bearing. On the basis of simulated results, following key conclusions may be drawn. The static and dynamic performance of a circular aerostatic tilted thrust pad bearing is significantly affected with a change in the value of tilt parameter and the shape of the recess.

Implications are as follows: direct computation of air film damping coefficient is performed without perturbation method in finite element method (FEM); influence of tilt on aerostatic thrust bearing is studied; influence of recess shape on aerostatic thrust bearing is observed; and finite element formulation of aerostatic thrust bearing is performed.

The present work will be quite useful for bearing designer and academicians.

The extant literature provides much-needed support to understand marketing accountability and how marketing actions are related to financial performance (FP). However, we have limited understanding of the relationships between marketing actions and firms' social performance (SP) and environmental performance (EP). Understanding these links is critical to enhancing sustainable FP, SP, and EP. Moreover, the literature provides limited understanding of the measures by which SP and EP may be operationalized, or the data necessary to reach a conclusion. This study bridges these gaps by extensively reviewing the extant literature to offer a set of measures and data sources to operationalize SP and EP, and empirically show their relationships with marketing actions. We find that greenhouse gas (GHG) emission, environmental disclosure score, waste reduction, energy consumption, and recycling are prominent measures of EP, and that social disclosure score, philanthropy or community spending, and diversity of gender and race are prominent measures of SP. The KLD, ASSET4, and Bloomberg are prominent sources of data that can be used to operationalize SP, to which CDP may be added for EP. We also show that marketing actions positively affect EP and SP. This study contributes to the extant literature on SP and EP by identifying measures and data sources and linking marketing actions to both performance types. It contributes to policy development by identifying the importance of EP and SP and how marketing actions can help achieve such performance.

Neuroeconomics and neurofinance are emerging as intriguing fields of research, despite sharing ambiguity with the concepts of neuroscience. The relationship among the concepts of economics, finance and neuroscience is not explicitly defined in the past literature, which distorts the use of neuroeconomics and neurofinance approaches in real-world practice for financial decision-making. The purpose of this paper is to consolidate the literature in the field of neuroeconomics and neurofinance to set up the research agenda for the upcoming scholarship in the field.

The purpose of this paper is to consolidates the extant literature in the fields of neuroeconomics and neurofinance by conducting an extensive systematic literature review to investigate the current state and define the relationship between economics, finance and neuroscience.

This paper identifies and explains the explicit relationship between different sub-fields of neuroscience with neuroeconomics and neurofinance and providing instances for future research studies.

The exclusive and extensive literature survey in the form of systematic literature review is undertaken for understanding the fields of neuroeconomics and neurofinance and is the key highlight of this paper. Another, interesting fact lies with matching the literature in neuroeconomics and neurofinance with further sub-fields of neuroscience such as neurophysiology, neuroanatomy, molecular neuroscience and cognitive neuroscience.

Leraning outcomes are as follows: demonstrating how companies in the Indian market are using competitive advertising; giving participants an overview of the regulatory framework for advertising in India; highlighting the complexities arising out of the multiplicity of advertising regulations and institutions in India; appreciating the legal and ethical perspectives of advertisements and self-regulation; and evaluating the stance taken by both the parties in this particular case to develop multi-stakeholder perspective.

A recent advertisement by international conglomerate Hindustan Unilever Limited was severely criticized for insulting Indian values by Baba Ramdev, promoter of India's largest Ayurvedic Company selling Indian indigenous and natural alternate medicinal products. It was in a complete reversal of the scenario between 2015 and 2018 when other Indian consumer goods companies complained against advertisements released by Patanjali. Indian fast moving consumer goods sector is witnessing a trend of competitive advertising in which companies are downplaying and criticizing the competitors. Though quite old, this trend caught momentum when Patanjali Ayurved Limited, a new player in the market, started advertising aggressively in 2015–2016. It resulted in many complaints by the aggrieved parties in the industry bodies and different courts of law in India. A part of the confusion comes from the diversity of advertising regulations across different Indian platforms and the absence of a clearly defined institutional framework for resolving such disputes. Consequently, most such disputes land up in the court of law in India. The case study builds an understanding of the legal framework within which companies are governed for brand promotions and creates a contextual ethical dilemma to drive the discourse on advertising through self-regulation in India.

This case is meant to benefit students pursuing a graduate or upper-level undergraduate degree in management or law/business law.

Teaching notes are available for educators only.

CSS 8: Marketing.

This paper delineates the appraising and comparing the circumstances that may influence the choices and preferences of the undergraduates of National Institutes of Technology (NITs) of the north-western region of India for using library’s print versus electronic resources. The author investigated the circumstances in knowing whether different situations impact their choice for using print or electronic resources concerning their demographical characteristics for their academic learning.

The study used a survey of undergraduates at six NITs in the north-western region of India. The responses were analysed using Chi-Square, Mann–Whitney and Kruskal–Wallis statistical analysis tests, via SPSS software.

The study revealed that respondents preferred a mix of both forms of sources for their academic studies under different circumstances. The results reveal that the institution of respondents affected the choice of print resources over e-resources and vice versa in many different circumstances. Respondents’ year of study affected the choice of using print over e-resources and vice versa in certain situations. The residential backdrop affects the choice of using e-resources over print in some situations. Gender of respondents affects the choice of using e-resources over print under some situations.

The study will further aid librarians at six NITs in the north-western region of India to know whether print resources still have the same importance among library users or their preference switched towards using electronic resources.

This study offers new perspectives on the use of print verses electronic resources among the undergraduates at six NITs in the north-western region of India so that the libraries can procure desired resources rather than moving with the market trends.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.