托宾Q法                        
                
                                
                        
                            差异(会计)                        
                
                                
                        
                            灵活性(工程)                        
                
                                
                        
                            企业价值                        
                
                                
                        
                            经济                        
                
                                
                        
                            计量经济学                        
                
                                
                        
                            价值(数学)                        
                
                                
                        
                            多样性(控制论)                        
                
                                
                        
                            变量(数学)                        
                
                                
                        
                            市场价值                        
                
                                
                        
                            度量(数据仓库)                        
                
                                
                        
                            微观经济学                        
                
                                
                        
                            货币经济学                        
                
                                
                        
                            会计                        
                
                                
                        
                            统计                        
                
                                
                        
                            管理                        
                
                                
                        
                            数学                        
                
                                
                        
                            数学分析                        
                
                                
                        
                            数据库                        
                
                                
                        
                            计算机科学                        
                
                        
                    
            作者
            
                Anandhi Bharadwaj,Sundar G. Bharadwaj,Benn R. Konsynski            
         
                    
            出处
            
                                    期刊:Management Science
                                                         [Institute for Operations Research and the Management Sciences]
                                                        日期:1999-07-01
                                                        卷期号:45 (7): 1008-1024
                                                        被引量:1192
                                 
         
        
    
            
            标识
            
                                    DOI:10.1287/mnsc.45.7.1008
                                    
                                
                                 
         
        
                
            摘要
            
            Despite increasing anecdotal evidence that information technology (IT) assets contribute to firm performance and future growth potential of firms, the empirical results relating IT investments to firm performance measures have been equivocal. However, the bulk of the studies have relied exclusively on accounting-based measures of firm performance, which largely tend to ignore IT's contribution to performance dimensions such as strategic flexibility and intangible value. In this paper, we use Tobin's q, a financial market-based measure of firm performance and examine the association between IT investments and firm q values, after controlling for a variety of industry factors and firm-specific variables. The results based on data from 1988–1993 indicate that, in all of the five years, the inclusion of the IT expenditure variable in the model increased the variance explained in q significantly. The results also showed that, for all five years, IT investments had a significantly positive association with Tobin's q value. Our results are consistent with the notion that IT contributes to a firm's future performance potential, which a forward-looking measure such as the q is better able to capture.
         
            
 
                 
                
                    
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