본 연구는 조직내 정보시스템의 구축과 활용이 의사결정과정과 기업성과에 미치는 영향에 관한 것이다. 기존 연구들에 의 하면, 기업의 정보시스템은 조직내 의사결정과정에 중요한 역할을 할 수 있는 것으로 논의되어 왔다. 하지만 정보시스템 이 여러 형태의 의사결정 과정에 있어서 구체적으로 어떤 역할을 할 수 있으며 기업성과에 또한 어떤 영향을 미칠 수 있 는지에 대해서는 명확한 결론을 제시하지 못하고 있다. 이에 본 연구는 정보시스템의 구축과 활용이 의사결정의 질 (quality)을 높여주고 그 결과 기업의 재무적 성과를 향상시키는 데 기여할 수 있음을 보여주고자 한다. 또한 환경의 불 확실성이 높을수록 정보시스템의 구축과 활용이 의사결정의 질과 재무적 성과에 미치는 영향은 더욱 커질 수 있음을 보여 주고자 한다. 본 연구는 이러한 연구목적을 달성하기 위해 섬유, 기계, 자동차부품, 전기?전자 산업으로부터 129개의 표 본을 확보했다. 그리고 분석결과 정보처리, 상호협력, 진취성과 같은 의사결정 과정과 정보시스템의 상호작용이 총자산이 익률(ROA)에 유의한 긍정적 영향을 미치는 것으로 나타났다. 또한 환경의 불확실성이 높을수록 세 가지 형태의 의사결 정과정과 정보시스템의 상호작용이 기업의 재무적 성과에 더 큰 영향을 미친다는 사실도 관찰되었다.
This study suggests that decision-making process will have its most positive impact on company financial performance when it is carried out by well structured information systems(hereafter IS). For many years, while scholars of organizations and strategy have attempted to link different aspects of the decision making process to organizational performance, the supporting empirical results have been weak and conflicting. This paper is that the most frequently discussed decision making dimensions such as information processing, collaboration, and even initiative, by themselves, are unlikely to contribute to firm’s financial performance. In relation to this matter, Miller and Lee(2001) have shown that an organization’s commitment to its employees(OCE) can even help ensure that the process of decision making will be executed effectively. In the same context, we argue that IS will enhance financial performance where it is able to improve the quality of a decision-making process that emphasizes ample information processing, collaboration, and initiative. The information processing dimension reflects the effort devoted to scanning and analyzing information to better understand a firm’s threats, opportunities and options. The collaboration dimension gauges how much people consult and collaborate together in making decision. And the initiative dimension assesses whether decision makers are biased towards action or proactiveness in competing and getting things done. While each of these dimensions has the potential to contribute to more effective decisions, we suspect that IS can play an important role in decision making. More specifically, these three dimensions of decision-making are expected to be of This study suggests that decision-making process will have its most positive impact on company financial performance when it is carried out by well structured information systems(hereafter IS). For many years, while scholars of organizations and strategy have attempted to link different aspects of the decision making process to organizational performance, the supporting empirical results have been weak and conflicting. This paper is that the most frequently discussed decision making dimensions such as information processing, collaboration, and even initiative, by themselves, are unlikely to contribute to firm’s financial performance. In relation to this matter, Miller and Lee(2001) have shown that an organization’s commitment to its employees(OCE) can even help ensure that the process of decision making will be executed effectively. In the same context, we argue that IS will enhance financial performance where it is able to improve the quality of a decision-making process that emphasizes ample information processing, collaboration, and initiative. The information processing dimension reflects the effort devoted to scanning and analyzing information to better understand a firm’s threats, opportunities and options. The collaboration dimension gauges how much people consult and collaborate together in making decision. And the initiative dimension assesses whether decision makers are biased towards action or proactiveness in competing and getting things done. While each of these dimensions has the potential to contribute to more effective decisions, we suspect that IS can play an important role in decision making. More specifically, these three dimensions of decision-making are expected to be of little value where IS are poor. In other words, even the most promising approaches to making decisions will produce little benefit without the support of IS. In addition, under demanding conditions of environmental uncertainty, we believe that the quality of information processing, collaboration, and initiative are particularly important as they help to facilitate complex adaptation. Thus this study suggest that the interactions between IS and all three of our process dimensions will contribute more to performance in uncertain than in stable environments. For the study, we collected data from 129 firms that consisted of 38 textile firms, 31 machinery firms, 30 automotive parts producers, and 30 electronics firms. The topmost executives(directors general or general managers) completed the scales on decision making, environmental uncertainty, while the most senior vice presidents provided IS measure and financial performance. Our use of different respondents within each firm also guarded against common method variance in the testing of hypotheses. We used the moderated OLS regression analyses to test hypotheses and this study found that positive association between return on assets (hereafter ROA) and the interactions between IS and information processing, collaboration, and initiative, respectively. It also found that these interactions contribute the most to ROA in uncertain environments, where effective information processing, collaboration and initiative were especially important. On the basis of these results, we believed that IS-induced improvements in information processing, collaboration, and initiative have an important effect on the quality of decisions and performance. However, it is need to bear in mind that this is a study of Korean companies. Thus further research also needs to be undertaken to determine whether the findings of this study will generalize to other nations. Also it is important to control the characteristics of decision makers because decision making are most affected by these influences. Therefore, further research is need to find and control other important factors that might influence the decision making process within organizations.