Supply chain information visibility and its impact on decision-making : an integrated model in the pharmaceutical industry : a dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management at Massey University, Albany, Auckland, New Zealand

Supply chain information visibility (SCIV) has been largely recognized as a key issue in pharmaceutical supply chain management. In recent years, there has been growing concern regarding the exponential growth and ubiquity of supply chain information as the result of the application of advanced technologies. Thus, the topic of visibility of information flow across a supply chain has attracted interest in both practice and academia. Despite the existence of considerable literature on SCIV, the concept is still under-theorized. The lack of a clear understanding of the characteristics of SCIV has made it difficult to evaluate the effectiveness of SCIV and, consequently, hinders the improvement of SCIV (McIntire, 2014). Second, recent research identifies the potential of SCIV for operational performance through supporting managerial decision-making but also points out challenges and risks. In addition, there is a dearth of behavioral empirical research on supply chain management topics with which to achieve an increase in theory-building research in the field. This research addresses these gaps in the literature and investigates how SCIV across the pharmaceutical supply chain is perceived by pharmaceutical supply chain practitioners who are involved in supply chain decision-making, and how the decision-makers make use of SCIV in their supply chain decision-making process. This study adopted an exploratory, and qualitative approach to address two research questions: “How do supply chain professionals perceive SCIV in the pharmaceutical supply chain?” and “How do supply chain professionals make informed supply chain decisions?” The constructivist grounded theory methodology was used to guide the data gathering and analysis. The data were mainly drawn from semi-structured interviews with supply chain practitioners in New Zealand-based pharmaceutical firms, working at different levels of the supply chain, including manufacturers and distributors. Based on the findings a theoretical model was developed, the Pharmaceutical Supply Chain Information-based Decision-Making Model. The model explains the behavioral supply chain decision-making process in the pharmaceutical supply chain, based on the existence of a given level of SCIV. The empirical findings suggest that SCIV is achieved both within and outside of the pharmaceutical firms and that human relational factors tend to be more beneficial than technological factors in developing SCIV. The importance of this finding is that it addresses a frequently asked question in recent literature about what constitutes SCIV and how to successfully build information visibility in a supply chain. Moreover, this research contributes to the behavioural supply chain management research literature by introducing a theoretical model of pharmaceutical supply chain information-based decision-making, which is grounded in the field data. The model offers significant theoretical insight into information-based decision-making in the pharmaceutical supply chain context based on empirical data, which has been largely overlooked in the supply chain management discipline. The empirical findings suggest that supply chain practitioners make information-based decisions in which they conduct an informative engaging mechanism with technological tools, with relevant stakeholders, and with themselves. Thus, the decision-making process involves extensive data analysis along with the crucial support of experience-based intuition and relevant stakeholders’ engagement. Another key contribution of this study is the identification of the constructive aspect of political behaviour in the supply chain decision-making process in which relevant stakeholders when invited to engage in the process tend to positively contribute and buy into the decision. Finally, this thesis provides significant practical implications and suggest directions for future research. Supply chain practitioners may benefit from the study by utilizing the study’s results to develop supply chain information visibility in their firms. In addition, the theoretical model of the information-based decision-making process explicates a useful step-by-step approach for supply chain practitioners to follow in making effective supply chain operational decisions. Recommendations for further research are provided, especially the recommendations for further studies that are crucially needed to assist firms to counter the pharmaceutical supply chain disruption risks caused by the Covid-19 pandemic