Redesigning the efficiency process analysis for working capital models

2019 ◽  
Vol 13 (1) ◽  
pp. 38-55 ◽  
Author(s):  
Himanshu Seth ◽  
Saurabh Chadha ◽  
Satyendra Sharma
Keyword(s):  
Growth Rate ◽  
Manufacturing Sector ◽  
Process Analysis ◽  
Working Capital ◽  
Economic Variables ◽  
Content Type ◽  
Cash Conversion Cycle ◽  
Efficiency Measures ◽  
Ratio Size ◽  
Indian Manufacturing Sector

Purpose The purpose of this study is to get insights into working capital management (WCM) practices and the determinants of its efficiency prevailing in the Indian manufacturing sector using firm-specific as well as macro-economic variables by examining three efficiency models, i.e. cash conversion cycle (CCC), cash conversion efficiency (CCE) and net working capital level (NWCL). Design/methodology/approach The study uses panel data techniques on 1,207 firms of the Indian manufacturing sector, as well as on its nine key manufacturing industries from 2008 to 2018 for the analysis. Findings Several firm-specific variables such as net fixed asset ratio, size of the firm, profitability, firm’s growth, asset turnover ratio, age of the firm, interest rate and leverage have significant effect on WCM efficiency, whereas total assets growth rate, gross domestic product growth rate and inflation rate have insignificant effect on WCM efficiency. Research limitations/implications The study provides new empirical evidence on the short-term liquidity management of manufacturing firms prevailing in the developing countries such as India. The findings are particularly relevant in the present scenario when the liquidity levels are decelerating and there is a marked slowdown in private credit flows to the manufacturing sector due to the problem of burgeoning non-performing assets. Originality/value This study examines WCM efficiency exhaustively by incorporating both firm-specific and macro-economic variables using three efficiency measures, i.e. CCC, CCE and NWCL, results of which emerged as an answer to an efficient WCM.

Assessing working capital management efficiency of Indian manufacturing exporters

2020 ◽  
Vol 46 (8) ◽  
pp. 1061-1079 ◽  
Author(s):  
Himanshu Seth ◽  
Saurabh Chadha ◽  
Namita Ruparel ◽  
Puneet Kumar Arora ◽  
Satyendra Kumar Sharma
Keyword(s):  
Fixed Effects ◽  
Manufacturing Sector ◽  
Manufacturing Firms ◽  
Capital Management ◽  
Working Capital ◽  
Exogenous Variables ◽  
Working Capital Management ◽  
Content Type ◽  
Cash Conversion Cycle ◽  
Time Period

PurposeThe purpose of this paper is to empirically investigate the relationship between working capital management (WCM) efficiency and exogenous variables of the Indian manufacturing sector along with its sub-industries that are involved in export activities.Design/methodology/approachPanel regression (fixed effects) was used on a sample of 563 Indian manufacturing firms involved in export activities, covering a time period from 2008 to 2018.FindingsIndustry-wise results showed a significant relation of leverage, net fixed asset ratio, profitability, asset turnover ratio, total asset growth rate and productivity with cash conversion cycle (CCC).Research limitations/implicationsFirstly, having taken a sample from a developing economy, the results of our study may be generalizable only among developing contexts. Secondly, the time period taken in this study (2008–2018) has witnessed several economic fluctuations such as recession and demonetization which might differ for the firms or countries in normal conditions.Practical implicationsAn improved working capital model could advance the firms' performance by reducing the CCC of the firm, thereby creating efficiency in WCM. In addition, the results of this study could be helpful for many stakeholders such as working capital managers, debt holders, investors, financial consultants and others for monitoring the firms.Originality/valueThis study contributes to the existing literature in the relation between WCM efficiency and exogenous variables of the Indian manufacturing firms engaged in the export activities. Moreover, this study is one of the few research studies to investigate this relationship among Indian export firms in different industries, thus filling the gap in similar work done in other countries.

What does the new 2011-12 IIP series tell about the Indian manufacturing sector?

2018 ◽  
Vol 11 (2) ◽  
pp. 90-106
Author(s):  
Radhika Pandey ◽  
Amey Sapre ◽  
Pramod Sinha
Keyword(s):  
Design Methodology ◽  
Manufacturing Sector ◽  
High Growth ◽  
Industrial Output ◽  
Content Type ◽  
Annual Survey ◽  
Two Measures ◽  
Indian Manufacturing Sector ◽  
Practical Implications

Purpose This paper aims to discuss the changes in the new 2011-12 base year series of the Index of Industrial Production (IIP) to determine whether the new series has improved the understanding of the growth in the manufacturing sector. Design/methodology/approach This paper develops a simple framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index. The authors present a case study by analysing the growth performance of IIP drugs and pharmaceuticals sector by comparing it with real net sales of a common sample of firms in this segment. Findings The authors find that growth in value-based commodities contributes significantly in moving the index in either direction, and that high growth in value-based commodities coincides with periods of low inflation. On comparability, using real net sales as an alternate indicator of industrial output for the pharmaceuticals sector, the authors find that IIP and real net sales show contrasting trends, thereby raising issues of reliability. The authors also find that the IIP shows a disconnect with growth rates from Annual Survey of Industries for several industries. Practical implications The divergence between two measures of industrial activity raises crucial questions on the representativeness of the IIP. Originality/value The study builds a framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index.

scholarly journals Conservative Working Capital Policy: Can it Increase Profitability and Sustainable Growth Rate?

2021 ◽  
Vol 12 (3) ◽  
pp. 5630-5637
Author(s):  
Sunardi Sunardi Et. al.
Keyword(s):  
Growth Rate ◽  
Manufacturing Sector ◽  
Sustainable Growth ◽  
Working Capital ◽  
Financing Policy ◽  
Panel Data Regression ◽  
Data Regression ◽  
Sustainable Growth Rate ◽  
Investment And Financing ◽  
Positive Effect

The objective of this study is to investigate the effect of conservative working capital policy on profitability and examine the effect of conservative working capital policy on sustainable growth mediated by profitability in the manufacturing sector in Indonesia. This study involves 133 manufacturing firms in Indonesia during the 2013-2018 period. Data are analyzed using panel data regression with random effects estimation models. The result of this study showed that conservative working capital policy, both investment and financing policy, has proven to have a positive effect on sustainable growth rate. Besides, this study also proved that profitability has a positive effect on SGR. Furthermore, there was the effect of conservative working capital policies on the level of sustainable growth through profitability. This study not only contributes to expanding knowledge about the relationship between working capital policies, profitability and sustainable growth rates, but also has relevant implications for firm managers to improve firm performance to be able to grow sustainably

Trends and relationship among intellectual capital disclosures, patent statistics and firm performance in Indian manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khushdeep Dharni ◽  
Saddam Jameel
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Data Availability ◽  
Content Type ◽  
Patent Statistics ◽  
Patent Applications ◽  
Indian Manufacturing Sector ◽  
Increasing Trends

PurposeThis study highlights the trends of qualitative intellectual capital disclosures and patent statistics in the Indian manufacturing context by considering the numerous patent applications, patent grants, forward citations and backward citations. Furthermore, the study investigates the relation among qualitative disclosures, patent statistics and firm performance.Design/methodology/approachAll manufacturing companies of CNX 500 Index of National Stock Exchange of India Limited are considered. Based on data availability, 243 manufacturing firms spanning across seven major manufacturing sectors are included. Secondary data were obtained from the annual report of companies and patent databases from 2004 to 2005 to 2013–2014, generating a sample of 2,430 firm years. Content analysis and citation analysis are used for collecting the relevant data.FindingsOverall, the study results indicated increasing trends for all types of intellectual capital disclosures. Similar trends are observed for patent applications and patent grants, indicating a surge in patenting activities across the manufacturing sector. However, increasing trends in patenting activities are not reflected for forward and backward citations. In addition, significant differences in means and trend coefficients for qualitative disclosures and patent statistics indicated industry specificity within the Indian manufacturing sector. Furthermore, industry specificity is observed when translating intellectual capital to firm performance. The measure of firm performance, that is, Tobin's Q, is having a significant positive association with qualitative disclosures and patent statistics.Research limitations/implicationsAs the study is based on secondary data, its accuracy is limited by the accuracy of the data sources such as the annual reports of companies and patent databases.Practical implicationsThe study findings imply that policymakers should devise and execute sector-specific policy interventions. Moreover, managers and policymakers should emphasize the qualitative aspect of patenting activities.Originality/valueThe study is an original work that highlights the trends in qualitative disclosures in the Indian manufacturing context. The value relevance of intellectual capital and patent statistics has been established.

Indian study shows that encouraging knowledge sharing at work can help spark innovative behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Explicit Knowledge ◽  
Manufacturing Sector ◽  
Critical Role ◽  
Underlying Mechanism ◽  
Innovative Behavior ◽  
Content Type ◽  
Indian Manufacturing Sector ◽  
Implicit And Explicit ◽  
The Relationship

Purpose The authors wanted to find out the most important mechanisms for encouraging innovative behavior in the Indian manufacturing sector. Design/methodology/approach The researchers collected data from Indian manufacturing organizations. They distributed questionnaires and received 288 complete ones. Items measured critical concepts. For OJ one example was “I have been fairly rewarded for the effort I put forth”. For KS, one sample was, “When I have learned something new, I tell my colleagues about it” and, “When they have learned something new, my colleagues tell me about it”. Meanwhile, IB was measured using items such as “I generate original solutions for problems”. Findings It highlighted the pivotal role of OJ in bolstering employees’ IB. When companies treat employees fairly, it encourages positive social interactions that lead to perceptions of supportiveness and trustworthiness. Employees reciprocate these sentiments with positive behavior. The study also showed the positive predictive influence of KS on IB. Finally, the results showed that the relationship between OJ and IB is complex, but KS is a pivotal mediator. Promotion of OJ, KS and IM is “vital” to spark innovation. Originality/value The authors felt their most important finding was to highlight the critical role of the underlying mechanism of KS, which is where individuals exchange implicit and explicit knowledge to create new knowledge. In addition, previous researchers have looked at the role of organizational justice in encouraging innovative behavior, but evidence from non-Western countries is scarce.

Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

2020 ◽  
Vol 33 (5) ◽  
pp. 1111-1152 ◽  
Author(s):  
Mahak Sharma ◽  
Rajat Sehrawat
Keyword(s):  
Technology Acceptance ◽  
Industrial Revolution ◽  
Swot Analysis ◽  
Manufacturing Sector ◽  
Critical Factors ◽  
Time To Market ◽  
Content Type ◽  
Organizational Issues ◽  
Factors Influencing ◽  
Indian Manufacturing Sector

PurposeThis study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.Design/methodology/approachIn this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.FindingsThe manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.Research limitations/implicationsThis study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.Originality/valueThis is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.

The Anatomy of Sustainable Growth Rate of Indian Manufacturing Firms

2018 ◽  
Vol 19 (4) ◽  
pp. 1050-1071 ◽  
Author(s):  
Lalit Arora ◽  
Shailendra Kumar ◽  
Piyush Verma
Keyword(s):  
Growth Rate ◽  
Manufacturing Sector ◽  
Sustainable Growth ◽  
Profit Margin ◽  
Regression Equations ◽  
Industrial Growth ◽  
Return On Equity ◽  
Net Profit ◽  
Sustainable Growth Rate ◽  
Indian Manufacturing Sector

An important parameter to gauge the reasons behind success (failure) of a firm in the form of sustainable growth rate provides useful insights to managers and investors. This research analyzes the variations in calculations and suitability of method of calculating this growth rate using two different formulas. It also intends to examine the extent to which these variations in sustainable growth rate are explained by some of its important determinants. Using panel data regression by decomposing return on equity into net profit margin, asset turnover and financial leverage, results suggest that four key ratios are robust in capturing the variations in sustainable growth rate even after introducing industry-specific factors like industrial growth and inflation in the regression equations. Sustainable growth rate calculated only on the basis of percentage change in book value of equity provides an aggregate view depicting that any changes in sustainable growth rate across industries are random. Further analysis provides evidence that net profit margin drives the sustainable growth of firms in the Indian manufacturing sector.

Financial constraints and optimal working capital – evidence from an emerging market

2018 ◽  
Vol 14 (1) ◽  
pp. 37-53 ◽  
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee
Keyword(s):  
Financial Constraints ◽  
Emerging Market ◽  
Manufacturing Firms ◽  
Capital Management ◽  
Working Capital ◽  
Partial Adjustment ◽  
Working Capital Management ◽  
Content Type ◽  
Cash Conversion Cycle ◽  
Systematic Feature

Purpose The purpose of this paper is to investigate the existence of an optimal or target level of working capital for the Indian manufacturing firms, and whether firms intensely follow the target or not. Design/methodology/approach The paper uses cash conversion cycle as a measure of net working capital and employs partial-adjustment dynamic panel models to test its target-following behavior. Findings The empirical results show that there is no evidence of systematic target-following behavior of working capital for the Indian manufacturing firms. The results hold true even after dividing the sample into four groups depending on the sign and magnitude of deviation. The results further show that lack of target-following tendency is not quite influenced by varying firm-specific characteristics and, therefore, seems to be a systematic feature across firms in India. Research limitations/implications Scarcity of such working capital management studies across emerging economies, facing several financial constraints, limits the comparison of findings. Future studies should be conducted to confirm the results. Practical implications The findings imply that even though an optimal working capital might exist, emerging market firms may not be able to actively pursue it on account of several financial constraints and managerial considerations. Originality/value The study contributes to the scant existing literature on the target-following behavior of working capital management in the Indian manufacturing firms, representing a typical emerging market facing several financial constraints.

Modifying the cash conversion cycle: revealing concealed advance payments

2014 ◽  
Vol 63 (3) ◽  
pp. 341-353 ◽  
Author(s):  
Anna-Maria Talonpoika ◽  
Sari Monto ◽  
Miia Pirttilä ◽  
Timo Kärri
Keyword(s):  
Empirical Data ◽  
Stock Exchange ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Content Type ◽  
Remarkable Effect ◽  
Cash Conversion Cycle ◽  
Accounts Payable ◽  
Business Practitioners

Purpose – The cash conversion cycle (CCC) is widely used in the academic studies of working capital management and supply chain efficiency. The purpose of this paper is to introduce a modification of this measure that takes into account advance payments as a component of operational working capital. Design/methodology/approach – A new measure, the modified cash conversion cycle (mCCC) is introduced and tested with empirical data of companies in Helsinki Stock Exchange. Findings – The mCCC reveals the real efficiency of operational working capital in companies that receive advance payments to a remarkable extent. Research limitations/implications – The mCCC can be used in empirical analysis in academic studies. In this paper, the empirical data are used only for testing the mCCC. The paper concerns received advance payments, but the mCCC can also be extended also to other components of operational working capital ignored by the traditional CCC. Practical implications – The paper offers insights into the variations of CCC for class teachers, and business practitioners, particularly financiers, who deal with operational working capital, cash flow predictions and calculations. Originality/value – There are current items that may have a remarkable effect on operational working capital, but traditionally only inventories, accounts receivable and accounts payable are discussed. The authors argue that also other current items should be taken into account, if they affect the efficiency of operational working capital. The new mCCC is encouraged to be used instead of the CCC when observing working capital management.

Sign in / Sign up

Export Citation Format

Share Document