Search results

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 chapter assesses the volatility spillover from US monetary policy consequent upon the onset of three episodes primarily engineered by the US Fed, namely quantitative easing 1, taper tantrum and balance sheet normalization (BSN) to select emerging market economies (Brazil, India, Russia, South Africa and Turkey) considering around six months pre- and post-occurrence of these events. AR(k)-GARCH (p,q) framework has been used to assess the spillover effect influencing the return of the financial assets and trekking to their volatility segregated as news and persistence effect across markets and economies under study. The authors find that at the overall level, news impact significantly enhanced volatility of bond and currency markets, however, less impact was observed owing to the onset of BSN announcement as markets had factored the news through the well-articulated forward guidance of the Fed.

The purpose of this paper is to help students understand how companies combine and leverage their existing knowledge capabilities in order to build strategic advantage for the company. The case also throws some light on the opportunities and challenges faced by SME's of emerging markets in going international in turbulent macroeconomic scenarios.

The case has been written for the purpose of teaching and class discussion. Interviews with protagonist provided the primary data and published reports and archives of the company provided the secondary data for the case.

After the class discussion, students will be able to figure out how SME's can best leverage their existing knowledge base, efficiently manage that knowledge base and accurately assess the impact of these knowledge management activities for international expansion.

This is among the first few cases in the area of knowledge management from the perspective of SME's in emerging markets in the fragrance and other allied industries.

Entrepreneurship, internationalization, family-owned business management, strategic management.

MBA/postgraduate management program courses on family business management. The case can be taught at the beginning of the course to acquaint students with the dynamics of family-owned businesses. MBA/postgraduate/undergraduate courses on entrepreneurship. It can be used in the middle of the course to highlight the challenges presented by an entrepreneur due to change in the business environment and macroeconomic scenario. MBA/postgraduate course on strategic management. It can be used at the beginning of the course to introduce strategies for managing and sustaining growth of a business. MBA/postgraduate course on organizational development. It can be used in the middle of the course to help students understand the importance of designing an optimal organizational structure for a family business.

FragraAroma was an Indian fragrance company. Anil Gupta, the Founder and Managing Director of FragraAroma, and his sister Nisha were equal shareholders of the company. With changes in the Foreign Direct Investment Policy in 2013 in India, Anil and Nisha's husband Tarun had different expansion plans for FragraAroma. While Anil was planning to expand FragraAroma internationally, but his sister and her husband wanted diversification of the company's customer segment in the domestic market itself. The case is poised at the juncture, where Anil was facing a labyrinth of critical decisions. Would he go ahead with Tarun's expansion plan or stick to his plan of internationalization? Would his decision affect the harmony of the family? Was there a way that could enable him sailing his family and family business out of the doldrums?

This case is primarily about a family business and the dilemmas faced by the owner of that family business. The case captures the challenges faced by a family business in sustaining growth and competitiveness. The case can be used to understand how decisions are taken in a family-owned business. To understand the challenges faced by a family-owned business while developing and implementing its growth strategies. To understand the opportunities and challenges presented to a family-owned businesses when macroeconomic scenarios change. To understand the spillover effects of business decisions on family relations in a typical family-owned business setup.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this paper is to examine customers’ behavioural outcomes based on the actual attitudinal responses of mobile marketing initiatives.

A total of 764 usable responses was included through a non-probability convenient sampling method. The data used in the study gathered from mobile users of 37 cities from nine states across India. The analysis of moment structures 22.0 and SmartPLS 3.0 statistical programmes were used for measurement validation and to test the structural model.

The study indicated that mobile marketing had a more significant effect on customers’ negative attitudes and followed by on positive attitudes. Despite the strong significant effect on customers’ negative attitudes, it does not display more significant effect on negative behavioural outcomes. Finally, the study suggested that customers’ positive attitudes display more favourable behavioural outcomes of mobile marketing initiatives.

The paper would help the mobile marketers and advertisers to understand the impact of mobile marketing initiatives on customers’ attitudes and behavioural outcomes and how it can be managed to ensure the higher level of adoption and acceptance.

The results of the analysis indicated that when the users have favourable attitudes of mobile marketing initiatives, it can be highly effective in triggering of favourable behavioural outcomes.

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.

A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination.

This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy multi-objective linear programming model. Three scenarios have been developed for analyzing sensitivity of decision variables with the variations in parameters under relevant conditions. A real case of Indian third-party logistics service provider has been used to demonstrate the effectiveness of the model.

The most relevant criterion emerged out in this study for multi-mode selection problem is costs. It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment. The sensitivity analysis further shows that road is the economical mode, whereas sea and rail together are the greenest as well as socially responsible modes of transportation.

This study provides an integrated tool, which can be used by freight transporters to decide upon the sustainable modes of transportation for their various shipments.

This study aims to discover and carefully review the academic works pertinent to the concepts and elements of how human resources (HRs) can be managed through digital marketing and its benefits and model of implementation.

The HR industry has seen digital transition businesses align their HR practices with cutting-edge technologies. Despite this, there are still numerous areas where conventional HR assessments must be improved. Therefore, it is important to discover why digital marketing is necessary for conducting HR practices.

The literature search found numerous published papers demonstrating the applicability of managing HRs through digital marketing. The review provided a comprehensive yet condensed overview of the philosophy behind adopting online platforms for HRs operations. The terms ‘Human Resources in Digital Marketing’ and ‘Recruiting using Digital Marketing’ were used to locate many original, peer-reviewed papers. The evidence suggests that the research was sufficiently reliable and valid.

It is recommended to use digital marketing tools and techniques to facilitate the hiring process and improve the management of HR professionals.