No abstract

In recent years, rapid development of information technology (IT) has forced companies to integrate tightly with their supply chain partners, enabling efficient information sharing between supply chain members and improving supply chain efficiency, in order to make their supply chain more flexible and efficient. IT therefore plays a critical role in supply chains. How to achieve higher organizational performance through IT in a complex and uncertain supply chain environment has become an important issue. Even though many practitioners and scholars have taken multiple points of view to investigate the effects of IT infrastructure capability on firms’ performance, little research has explored cause-and-effect relationships from the perspective of supply chain capabilities. Based on a resource-based view of the firm, this study develops a research framework for investigating the mediating role of supply chain capabilities in the relationships between IT infrastructure flexibility, integration, and firms’ performance. Data for the study were collected from 270 companies in the Taiwanese electronics industry and the relationships proposed in the framework were tested using the Partial Least Squares method. The results indicate that IT infrastructure integration and flexibility indirectly and positively impact organizational performance through the mediating effect of supply chain capability, and the mediating effect is a full mediation. The findings provide empirical support to resourced-based IT studies, which propose mediating IT impacts on organizational performance. This study should be useful to practitioners who implement IT strategy.

There is currently a trend towards the integration of business intelligence (BI) systems with existing information systems in order to improve decision-making capabilities in organizations. Even though much attention has been paid to the factors influencing the adoption of BI systems, in practice there is still limited research investigating the business value of BI systems in a post-adoption environment. The motivation for this study is to examine the impact of BI system usage on organizational performance. This study develops a multidimensional measurement for assessing organizational performance, based on the balanced scorecard (BSC) approach developed by Kaplan and Norton. Data for the study were collected from 139 companies in the semiconductor industry in Taiwan and the relationships proposed in the framework were tested using Partial Least Squares method. The results indicate that higher levels of BI system usage will lead to improved financial performance indirectly through enhanced internal process, learning and growth and customer performance (non-financial performance). Moreover, higher levels of BI system usage can also lead to improved internal process, customer, and learning and growth performance in organizations. The results also show that internal process and customer performance have positive significant impact on financial performance. While learning and growth does not directly lead to the improvement of financial performance, it indirectly influences financial performance through the mediating effect of internal process performance. The findings of this study provide initial evidence that the adoption of BI systems leads to increased financial performance. The results indicate that these four BSC performance measures for BI system usage are interrelated, supporting the core premise of the BSC.

There is currently a trend for companies to invest in business intelligence (BI) systems to enhance their management decision-making capability. Even though a great deal of attention has been paid to the practical decision-making benefits of BI system adoption, there is still a lack of research to investigate factors that affect users' intention to continue using BI systems after they had already adopted the systems. Therefore, the aim of the study is to examine post-adoption cognitive beliefs and factors influencing users' intention to continue using BI systems. This study compares three theoretical models, namely, the Expectation-Confirmation Model of IS Continuance (ECM), the Technology Acceptance Model (TAM), and a synthesized model combining ECM and TAM to examine which model can best explain users' intentions to continue using BI systems. Survey data collected from 330 respondents in the Taiwanese electronics industry were examined using structural equation modeling. Our findings indicate that the synthesized model was the most parsimonious and had a greater explanatory power than the TAM and ECM models. The results suggest that users' continuance intention is determined by perceived usefulness and satisfaction. Several implications and limitations of this study are discussed.

There appears to be a trend toward companies investing in business intelligence (BI) systems to improve analytical capabilities to support decision making. In this study I investigated the determinants of user acceptance of BI systems. I compared 3 competing models, that is, the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and the decomposed TPB (DTPB), to determine which best explains users' intentions to adopt BI systems. Data collected from 330 Taiwanese electronics industry firms were tested using structural equation modeling. The findings indicate that the DTPB model was the most parsimonious and had greater explanatory power than the TAM and TPB models.