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The IUP Journal of Financial Risk Management
Do Company-Specific Factors Influence the Extent of Usage of Risk Analysis Techniques in Strategic Investment Decisions?
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This study empirically examines the extent of usage of risk analysis approaches and techniques and the influence of company-specific factors on the extent of usage of risk analysis approaches and techniques in Strategic Investment Decisions (SIDs). Based on the responses obtained through a single cross-sectional mailed survey, from 36 senior finance professionals representing 36 automotive companies operating in India, this study gives four important conclusions. First, the respondent companies are using formal risk analysis techniques equally to the subjective/intuitive risk assessment techniques. Second, the selected firm-specific characteristics do not have a significant relationship with the overall scope of risk analysis in SIDs. Third, sensitivity analysis is the most preferred formal risk measurement technique used by the respondents, followed by probability distribution. Finally, shortening payback period is the most preferred formal risk adjustment method used by the respondents, followed by raising the discount rate.

 
 
 

The business environment is rapidly changing all over the world. Especially, in the last two decades, there have been drastic and fundamental changes across the nations due to the process of globalization. Today, the term globalization has become a catchy-phrase though not a new phenomenon. What is new is its speed and reflexivity, given its complex nature and the gravity of impact on the Indian business environment (Bhardwaj and Hossain, 2001). The rate of technological and competitive change being witnessed by the manufacturing industry is extreme. For instance, automotive industry faces stiff competition, which is evident from the copious flow of models emerging in the automotive industry. Companies have introduced new models regularly, and their market shares have been fluctuating consistently. Companies must be able to diagnose these changes quickly and, most importantly, be able to respond to them in order to maintain or improve their competitive position in the market (Veronika, 2000).

This requires the most efficient and effective utilization of its resources, which involves the evaluation of the company's strengths and weaknesses in the light of the environmental threats and opportunities. Anecdotal evidence suggests that in business worldwide, efficient allocation of capital is an important and challenging task for contemporary Decision Makers (DMs). Such decision making can be regarded as a complex managerial activity (Jose, 2005), as a key to managerial success, and is considered by many to have inspired multiple research studies over the last four decades (Cyert and March, 1963; Mintzberg et al., 1976; Kumar and Shesh, 1994; Dean and Sharfman, 1996; Papadakis, 1998; Burke and Miller, 1999; Nutt, 1999; Ekenberg, 2000; Ford and Gioia, 2000; Gunn, 2000; and Jose, 2005). While these studies have provided useful broad insights into the field of decision making, it is surprising that only few have studied investment decision-making in complex business environments, or focused on the subfield of Strategic Investment Decisions (SIDs). According to Northcott (1995), such work would be vital at two levels: for the future operation of individual firms making investment, and the functioning of the economy of the nation as a whole. At the firm level, SIDs have implications for many aspects of operations, and often exert a crucial impact on survival, profitability and growth, since it involves the allocation of substantial financial, human and organizational resources (Jacques-Bernard and Sauner-Leroy, 2004). Therefore, SIDs have a long-term and wide range impact on the firm's performance, and they could be critical to the firm's success or failure (Brown and Solomon, 1993).

 
 
 

Financial Risk Management Journal, Risk Analysis Techniques, Strategic Investment Decisions, Risk Measurement Technique, Globalization, Indian Business Environment, Automotive Industry, Decision Making Process, Organizational Resources, Financial Risk Groups, Business Risk, Simulation Models, Indian Chemical Industry.