Journal of Contemporary Issues in Business and Government


Print ISSN: 2204-1990

Online ISSN: 1323-6903

Volume27, Issue3

Data to model the effect of Inventory turnover Efficiency on Automobile firm’s Profitability and Enterprise value: A partial least squares structural equation modeling approach (PLS-SEM)

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 3, Pages 1425-1432
10.47750/cibg.2021.27.03.191

Abstract

Purpose: Inventory turnover or efficiency an essential element in the automobile industry. This study aimed to identify paths and model fit for cash profitability and enterprise value due to the inventory turnover ratio using partial least square structural equation modeling (PLS-SEM).
Methods: sample includes 8 active Indian automobile companies (2-3 Wheeler) listed and traded on BSE (Bombay stock exchange). The present study covers consolidation financial statements for a period of 10 years (2010-20120). A conceptual structural model was developed for testing six hypotheses. H1: What was the effect of the inventory turnover ratio on operating profit per share?; H2: What was the effect of inventory turnover ratio on return on assets ?; H3: What was the effect of return on assets on cash earnings per share ?; H4: What was the effect of operating profit margin per share on cash earnings per share?; H5: What was the effect of inventory turnover ratio on enterprise value ?; H6: What was the effect of operating profit per share on enterprise value ?.
Results: 75 samples in the study, using structural equation modeling all effect size, collinearity (inner) issues, predictive accuracy was confirmed. All path coefficients were positive and statistically significant(H1:ß = 0.854, P < 0.001; H2: ß = 0.703, P < 0.001; H3:ß = 0.161, P < 0.001; H4 :ß = 0.856, P < 0.001: H5 :ß = 0.428, P < 0.001: H6 : ß = 0.502, P < 0.001).The in-sample predictive power was substantial for cash earnings per share (R2=0.939), earnings before interest tax per share (R2=0.729), enterprise value (R2=0.803), and moderate for return on assets(R2=0.494). Overall model fit is established (SRMR<0.021 at 95% & 99%).
Originality: This article provides how operating efficiency influences enterprise value and cash profitability for the investors of 2-3 wheeler automobile firms. This result supports management performance towards operating efficiency that creates both profit and enterprise value.
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Main Subjects:

  1. Charitou, M., Elfani, M., & Lois, P. 2010. The effect of working capital management on firm’s profitability: empirical evidence from an emerging market. Journal of Business & Economics Research, 8: 63-68
  2. Chen, H., Frank, M.Z. and Wu, O.Q. (2005), “What actually happened to the inventories of American companies between 1981 and 2000?”, Management Science, Vol. 51 No. 7, pp. 1015-31
  3. Gaur, V., Kesavan, S., 2005. The effects of firm size and sales growth rate on inventory turnover performance in U.S. retail services. Working Paper, NYU Stern School of Business and Harvard Business School
  4. Gill, A., Mand, H. S., Obradovich, J., & Mathur, N. (2019). The impact of working capital management on the decision of production firms about the amount of dividends. International. Journal of Business and Globalisation, 22(3), 372-388. https://doi.org/10.1504/IJBG.2019.099300
  5. Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2014), A Primer on Partial Least Squares Structural Equation Modeling, Sage, Thousand Oaks, CA
  6. Hair JF, Ringle CM, Sarstedt M. Partial least squares: the better approach to structural equation modeling? Long Range Plan 2012;45:312-319 https://doi.org/10.1016/j.lrp.2012.09.011
  7. Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2017a), A Primer on Partial Least SquaresStructural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA
  8. Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2017a), A Primer on Partial Least SquaresStructural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA
  9. Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M. and Thiele, K.O. (2017b),“Mirror, Mirror on the wall: acomparative evaluation of composite-based structural equation modeling methods”, Journal ofthe Academy of Marketing Science, Vol. 45 No. 5, pp. 616-632
  10. Joe F. Hair , Christian M. Ringle & Marko Sarstedt (2011) PLS-SEM: Indeed a Silver Bullet, Journal of Marketing Theory and Practice, 19:2, 139-152
  11. Hayajneh, O. S., & Yassine, F. L. A. (2011). The impact of working capital efficiency on profitability - An empirical analysis on Jordanian manufacturing firms. International Research Journal of Finance and Economics, 66, 67-76
  12. Henseler J, Hubona G, Ray PA. Using PLS path modeling in new technology research: updated guidelines. Ind Manag Data Syst 2016;116:2-20 https://doi.org/10.1108/IMDS-09-2015-0382
  13. Joseph F. Hair, Jeffrey J. Risher and Marko Sarstedt (2018), “When to use and how to report the results of PLS-SEM” European Business Review Vol. 31 No. 1, 2019 pp. 2-24. www.emeraldinsight.com/0955-534X.htm
  14. Joseph F. Hair, Jeffrey J. Risher and Marko Sarstedt (2018), “When to use and how to report the results of PLS-SEM” European Business Review Vol. 31 No. 1, 2019 pp. 2-24. www.emeraldinsight.com/0955-534X.htm
  15. Ken Kwong-Kay Wong, Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques using SmartPLS,(2013,24-1 Marketing Bulletin)
  16. Lazaridis, I., & Tryfonidis, D. (2006). Relationship between working capital management and profitability of listed companies in the Athens stock exchange. Journal of Financial Management and Analysis, 19(1), 26-35
  17.  Nitzl, C. (2016), “The use of partial least squares structural equation modelling
  18. (PLS-SEM) inmanagement accounting research: Directions for future theory development”, Journal ofAccounting Literature, Vol. 37 No. December, pp. 19-35
  19. Raithel, S., Sarstedt, M., Scharf, S. and Schwaiger, M. (2012), “On the value relevance of customer Satisfaction. Multiple drivers and multiple markets”, Journal of the Academy of Marketing Science, Vol.40 No. 4, pp.509-525
  20. Robert Parrino, David S. Kidwell,Thomas W. Bates.(2012), “ Fundamentals of corporate finance” 14, 506 -545
  21. Roumiantsev, S., Netessine, S., 2007. What can be learned from classical inventory models: a cross-industry exploratory investigation. Manufacturing and Service Operations Management 9, 409–429
  22. Rajagopalan, S. and Malhotra, A. (2001), “Have US manufacturing inventories really decreased? An empirical study”, Manufacturing and Service Operations Management, Vol. 3 No. 1, pp. 14-24
  23. Serrano-Cinca, C., & Gutiérrez-Nieto, B. (2013). Partial Least Square Discriminant Analysis for bankruptcy prediction. Decision Support Systems, 54, 1245–1255
  24. Soekhoe, S. G. (2012). The effects of working capital management on the profitability of Dutch listed firms. MSc Business Administrative Thesis, University of Twente School of Management and Governance
  25. Warnes, S. (2013). Impact of working capital management on firm’s profitability: Empirical evidence from cement sector (a case study of Pakistani firms). American Journal of Governance and Politics, 3(2), 46-55

 

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