This paper explores firm-level innovation in a human capital view using two firm-level datasets from China, one from metropolitan cities and one from provincial middle cities. General human capital level can affect innovation directly and via R&D level indirectly; managerial human capital can affect firm innovation through their decision-making. We find that general human capital and managerial...

Strategic decision analysis on Supply Chain Management (SCM) involves tangible and intangible factors and it needs to be evaluated by interdependent multiple criteria. Analytic Hierarchy Process (AHP) is a practical and popular decision-making tool for SCM. Interdependency among criteria becomes a source of difficulty in directly applying AHP to various SCM decision problems. Hence, the manager...

This short paper details research in progress that presents a Multi-Objective Decision Model for assessing Information Systems Risks. The decision model is based on the values and perceptions of stakeholders. It uses the Value-Focused Thinking approach, as opposed to the predominant Alternative-Focused Thinking. The objectives serve as a basis for decision making in the context of Information S...

Previous studies have not adequately addressed the role of cognitive biases in strategic decision processes. In this article we suggest that cognitive biases are systematically associated with strategic decision processes. Di€erent decision processes tend to accentuate particular types of cognitive bias. We develop an integrative framework to explore the presence of four basic types of cognitiv...

While inter-organizational information integration is believed to benefit supply chain management (SCM), prior studies have shown mixed results. Based on Organizational Information Processing Theory, we question this belief and highlight the importance of information technology (IT)-enabled collaborative decision making to deliver performance benefits and the contingency of the integration–coll...

Bayesian networks are limited in differentiating between causal and spurious relationships among decision factors. Decision making without differentiating the two relationships cannot be effective. To overcome this limitation of Bayesian networks, this study proposes linking Bayesian networks to structural equation modeling (SEM), which has an advantage in testing causal relationships between f...

Implementing Enterprise Resource Planning (ERP) systems, the most significant IT development in recent times, affects all aspects of organizational life. While the positive impact of ERP systems on operational efficiencies is well established in the literature, the relationship between ERP systems, decision support capability and decision-making processes has been inadequately investigated in t...

In an economy dominated by information and knowledge, analysis ceases to be the sole and sufficient source of knowledge. Managers seek alternative ways of obtaining and interpreting information and knowledge. Here, managerial intuitive potential begins to play an important role. The aim of this paper is to present the issue of intuition in decision making in both theoretical and empirical terms...