PurposeThe purpose of this paper is first, to summarize the findings from the book The New Supply Chain Agenda (Slone, Dittmann, and Mentzer 2010). Second, it reviews associated academic research, identifies critical knowledge gaps, and suggests areas for future academic research that will aid scholars and managers in improving supply chain management (SCM) performance.Design/methodology/approachThe paper summarizes and extends The New Supply Chain Agenda and juxtaposes the major elements of that book with a content review of existing literature in logistics and SCM to align gaps in knowledge with a call for future research.FindingsThe findings deepen understanding of the complexities and interrelationships prevalent among the five pillars and help identify new ways to improve the performance impact of SCM initiatives.Research limitations/implicationsMajor areas for future research within the broad topics of talent management, technology, internal integration, external collaboration, and change management are identified. Academic research related to each area or pillar is summarized, gaps are identified, and future research directions are suggested to provide avenues in which theoretical grounding and scientific rigor may be applied to each pillar of The New Supply Chain Agenda.Practical implicationsMany of the proposed solutions to the challenges faced by supply chain professionals have not been subjected to the scholarly scrutiny that would determine their validity. This paper presents areas for meaningful academic research to help supply chain practitioners separate truth from hype.Originality/valueThe paper seeks to stimulate thinking and suggest new areas in which to do research related to the book's key premises.
Morphology is a critical parameter for various thin film applications, influencing properties like wetting, catalytic performance and sensing efficiency. In this work, we report on the impact of oxygen partial flow on the morphology of ceramic thin films deposited by pulsed DC reactive magnetron sputtering. The influence of O2/Ar ratio was studied on three different model systems, namely Al2O3, CuO and TiO2. The availability of oxygen during reactive sputtering is a key parameter for a versatile tailoring of thin film morphology over a broad range of nanostructures. TiO2 thin films with high photocatalytic performance (up to 95% conversion in 7 h) were prepared, exhibiting a network of nanoscopic cracks between columnar anatase structures. In contrast, amorphous thin films without such crack networks and with high resiliency to crystallization even up to 950 °C were obtained for Al2O3. Finally, we report on CuO thin films with well aligned crystalline nanocolumns and outstanding gas sensing performance for volatile organic compounds as well as hydrogen gas, showing gas responses up to 35% and fast response in the range of a few seconds.
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Localized therapy approaches have emerged as an alternative drug administration route to overcome the limitations of systemic therapies, such as the crossing of the blood–brain barrier in the case of brain tumor treatment. For this, implantable drug delivery systems (DDS) have been developed and extensively researched. However, to achieve an effective localized treatment, the release kinetics of DDS needs to be controlled in a defined manner, so that the concentration at the tumor site is within the therapeutic window. Thus, a DDS, with patient-specific release kinetics, is crucial for the improvement of therapy. Here, we present a computationally supported reservoir-based DDS (rDDS) development towards patient-specific release kinetics. The rDDS consists of a reservoir surrounded by a polydimethylsiloxane (PDMS) microchannel membrane. By tailoring the rDDS, in terms of membrane porosity, geometry, and drug concentration, the release profiles can be precisely adapted, with respect to the maximum concentration, release rate, and release time. The release is investigated using a model dye for varying parameters, leading to different distinct release profiles, with a maximum release of up to 60 days. Finally, a computational simulation, considering exemplary in vivo conditions (e.g., exchange of cerebrospinal fluid), is used to study the resulting drug release profiles, demonstrating the customizability of the system. The establishment of a computationally supported workflow, for development towards a patient-specific rDDS, in combination with the transfer to suitable drugs, could significantly improve the efficacy of localized therapy approaches.
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