Efficiency in Operations of NASDAQ Listed Technology Companies from 2011 to 2023

Suneel Maheshwari () and Deepak Raghava Naik
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Suneel Maheshwari: Department of Accounting and Information Systems, Indiana University of Pennsylvania, Indiana, PA 15705, USA
Deepak Raghava Naik: Department of Management Studies, M S Ramaiah Institute of Technology, Bengaluru 560054, India

JRFM, 2024, vol. 17, issue 5, 1-14

Abstract: The performance of technology companies listed on NASDAQ significantly impacts larger economic trends. Investors need specific information to navigate market volatility and make informed decisions in an increasingly complex marketplace. Furthermore, amidst the ongoing digital revolution, legislators and regulatory agencies must comprehend the operational dynamics of technology companies to develop frameworks that support innovation while maintaining market stability. Our study assesses the impact on the overall operational efficiency of NASDAQ-listed firms from 2011 to 2023, resulting from the interdependence of critical variables such as selling, general, and administrative expenses (SGA), cost of goods and services sold (COGS), and investments in research and development (R&D). Johansen’s cointegration methodology and pairwise Granger causality tests were employed to unveil long-term relationships, equilibrium adjustments, and causal relationships among the considered variables. The results provide critical insights into the strategic management of operational variables by the listed companies. The economic significance of the results obtained underscores the paramount importance of efficiently managing the cost of goods and services sold to achieve superior operating performance among these leading technology firms.

Keywords: operating efficiency; NASDAQ; co-integration studies; causality; performance (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2024
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