PurposeDrawing on information processing view (IPV) theory, the objective of this study is to explore big data analytics (BDA) in pharmaceutical supply chain (PSC) for better business intelligence. ...Supply chain operations reference (SCOR) model is used to identify and discuss the likely benefits of BDA adoption in five processes: plan, source, make, deliver and return.Design/methodology/approachSemi-structured interviews with managers in a triad comprising pharmaceutical manufacturers, wholesalers/distributors and public hospital pharmacies were undertaken. NVivo software was used for thematic data analysis.FindingsThe findings revealed that BDA capability would be more practical and helpful in planning, delivery and return processes within PSC. Sourcing and making processes are perceived to be less beneficial.Practical implicationsThe study informs managers about the strategic role of BDA capabilities in SCOR processes for improved business intelligence.Originality/valueAdoption of BDA in SCOR processes within PSC is a step towards resolving the challenges of drug shortages, counterfeiting and inventory optimisation through timely decision. Despite its innumerable benefits of BDA, Australian PSC is far behind in BDA investment. The study advances the IPV theory by illustrating and strengthening the fact that data sharing and analytics can generate real-time business intelligence helping in better health care support through BDA-enabled PSC.
PurposeTechnologies continue to disrupt logistics and freight transport (known as smart logistics), but their impacts on smart city sustainability is underinvestigated. Drawing on technology, ...organisation and environment (TOE) perspective, the objective of this study is to empirically investigate the hierarchical effects of smart logistics on smart city sustainable dimensions (i.e. environmental, social and economic).Design/methodology/approachThe study used cross-sectional survey to collect data from urban transporters, warehouse managers, retailers and information technology (IT) managers in Australia. Data were analysed using structural equation modeling (SEM) to test the hypothesised relationship between constructs of smart logistics and smart city sustainable performance.FindingsThe findings reveal that information and communications technologies (ICTs) use and IT capability (ITC) have positive and significant effects on smart logistics. Technology-enabled smart logistics have an immediate positive effect on smart city environment, which in turn has positive impacts on social and economic performance.Practical implicationsThe study informs managers that smart logistics equipped with freight transport telematics can improve smart city environment through enhanced tracking and tracing of goods movement. The improved environmental stewardship is likely to support social and economic performance.Originality/valueSmart city research remains primarily theoretical and focussed on concerns surrounding sustainable growth amid urbanisation and digitalisation. City logistics and urban freights play key role in smart city economic growth, but vehicular pollution pose social and environmental challenges. Technology-assisted smart logistics are likely to improve smart city sustainable performance but yet to find how they affect each other.
This study aims to investigate the mechanisms by which firms’ strategic entrepreneurship (SE) impacts the achievement of their collaborative advantage (CA) for sustainable supply chain innovation. It ...includes a comprehensive analysis of the direct effect of SE on CA, the contingent effects of organizational structure and collaborative networks on this impact and the interaction effect of exploration and exploitation strategies under SE. An integrated conceptual model is proposed and the hypotheses are tested by structural equation modeling (SEM) using survey data from 432 manufacturing firms in China. The results confirm the positive impact of SE on CA, which is moderated differently by decentralized, formalized and specialized organizational structures. Meanwhile, vertical and horizontal collaborations lead to different types of advantages, and firms need to balance exploration and exploitation strategies across functional domains to achieve strategic ambidexterity, which further improves CA and facilitates sustainable supply chain innovation. Theoretically, this study is original in applying SE to the collaborative advantage in a supply chain context, while taking into account the high complexity of supply chain collaboration with a contingency approach. Practically, this study provides important managerial implications and specific recommendations for different firms to achieve sustainability in supply chain collaboration and innovation.
Drawing on Resource Dependence Theory (RDT), the objective of this study is to empirically explore supply chain disruptions of COVID-19, and suggest strategies to mitigate them. In-depth interviews ...were conducted with supply chain professionals working in the Electrical & Electronic (E&E) industry in Malaysia. Interviews were analysed by following seven steps of the van Kaam method. Findings suggest six strategies: global command centre with daily planning cycle to mitigate component shortages; collaboration with suppliers to mitigate glove shortages; assist local suppliers in obtaining permits to mitigate disrupted manufacturing; dual sourcing to mitigate single-sourcing disruptions; collaboration with freight carriers and government agencies to mitigate disrupted freight; and ERP-integrated EDI to mitigate disrupted data sharing. The findings offer strategies for managers to de-risk their supply chains in post-COVID-19 era, and it could be applied further in similar future supply chain disruptions.
Abstract This study examined the individual and combined effects of the organisational-level variables of climate and task design, and the group-level variables of group citizenship behaviour (GCB), ...market orientation, group self-efficacy (GSE), and group climate for innovation (GCI) on work group service innovativeness. Specifically, this study theorised that work group service innovativeness is a product of both organisational (organisational climate and task design) and work group (GCB, market orientation, and GSE) contexts. Drawing upon the theories and literature, six hypotheses were derived. Data were collected through a 64-item questionnaire using a 7-point Likert scale from four hotels in Melbourne, Australia. Results indicated that organisational climate, task design, GCB, group self-efficacy, and group climate for innovation were significant predictors of work group service innovativeness, while market orientation was not. Limitations, future directions, managerial and research implications are explored.
Abstract
This study examined the individual and combined effects of the organisational-level variables of climate and task design, and the group-level variables of group citizenship behaviour (GCB), ...market orientation, group self-efficacy (GSE), and group climate for innovation (GCI) on work group service innovativeness. Specifically, this study theorised that work group service innovativeness is a product of both organisational (organisational climate and task design) and work group (GCB, market orientation, and GSE) contexts. Drawing upon the theories and literature, six hypotheses were derived. Data were collected through a 64-item questionnaire using a 7-point Likert scale from four hotels in Melbourne, Australia. Results indicated that organisational climate, task design, GCB, group self-efficacy, and group climate for innovation were significant predictors of work group service innovativeness, while market orientation was not. Limitations, future directions, managerial and research implications are explored.
