The metaverse is a transformative force in supply chain information systems, particularly in the context of decision-making processes focusing on sustainable development goals. Thus, this study examines: How does the metaverse among stakeholders contribute to the supply chain decision-making processes regarding sustainable development goals ? This study is among the first to provide empirical data examining the impact of the metaverse on stakeholders' sustainability assessment. Additionally, we examine how the metaverse influences supply chain collaboration and logistics decisions efficiency, particularly concerning their significant environmental implications. Through the lens of the practice-based theory, we test the proposed relationships using empirical data collected through a scenario-based survey. Furthermore, we analyzed tweets containing the keywords “metaverse” and “supply chain” to identify related topics and sentiments regarding the metaverse. The text mining analysis revealed three primary topics: logistics, digitalization, and sustainability. Results from the sentiment analysis indicated a predominantly positive attitude towards the metaverse within supply chains. • Empirical data is based on scenario-based design and text analysis. • Metaverse positively impacts decision-making processes in logistics management. • Metaverse can create a collaborative environment for supply chain members. • Collaboration positively affect sustainability.

Although artificial intelligence can contribute to decision-making processes, many industry players lag behind pioneering companies in utilizing artificial intelligence-driven technologies, which is a significant problem. Explainable artificial intelligence can be a viable solution to mitigate this problem. This paper proposes a research model to address how explainable artificial intelligence can impact decision-making processes. Using an experimental design, empirical data is collected to test the research model. This paper is one of the pioneer papers providing empirical evidence about the impact of explainable artificial intelligence on supply chain decision-making processes. We propose a serial mediation path, which includes transparency and agile decision-making. Findings reveal that explainable artificial intelligence enhances transparency, thereby significantly contributing to agile decision-making for improving cyber resilience during supply chain cyberattacks. Moreover, we conduct a post hoc analysis using text analysis to explore the themes present in tweets discussing explainable artificial intelligence in decision support systems. The results indicate a predominantly positive attitude towards explainable artificial intelligence within these systems. Furthermore, the text analysis reveals two main themes that emphasize the importance of transparency, explainability, and interpretability in explainable artificial intelligence.

This paper examines the role of contextual factors and negative critical incidents as drivers of wearable discontinuance. We adopt a process perspective to understand wearable discontinuance by collecting data from long-time wearable users who have permanently discontinued their use and have no intention of reusing them. We adopt a multistage research design and collect data through the critical incident technique. Inductive data analysis reveals that both critical incidents and contextual factors impact wearable discontinuance, and the former is tethered to the purpose of wearable use. The study proposes pathways in the volitional information systems discontinuance process model and offers theoretical and practical contributions.

The relationship between loyalty, purchasing of virtual goods, and use behavior of mobile instant messaging (MIM) was examined. Two forms of loyalty, attitudinal and behavioral loyalty, were considered. The study tested the model where attitudinal loyalty, including electronic word of mouth and sense of belonging, led to behavioral loyalty, including purchase intention (PI) and continuation intention (CI), and then to different types of use behavior on MIM apps. The model was built upon the theory of reasoned action. The data were collected from a web-based cross-sectional survey of young Japanese adult LINE users. The results suggest that electronic word of mouth has negative association while the sense of belonging has a positive association with CIs, but no direct association with PI. Their association with use behaviors is mediated by CI. The CI have a positive association with PI. Furthermore, PI and CI correlate with the actual use behavior.

In 2015, a team of software and hardware developers at Microsoft shipped the world?s first commercial search engine accelerated using FPGAs in the datacenter. During the sprint to production, new algorithms in the Bing ranking service were ported into FPGAs and deployed to a production bed within several weeks of conception, leading to significant gains in latency and throughput. The fast turnaround time of new features demanded by an agile software culture would not have been possible without a disciplined and effective approach to co-design in the datacenter. This talk will describe some of the learnings and best practices developed from this unique experience.

Hyperscale datacenter providers have struggled to balance the growing need for specialized hardware (efficiency) with the economic benefits of homogeneity (manageability). In this paper we propose a new cloud architecture that uses reconfigurable logic to accelerate both network plane functions and applications. This Configurable Cloud architecture places a layer of reconfigurable logic (FPGAs) between the network switches and the servers, enabling network flows to be programmably transformed at line rate, enabling acceleration of local applications running on the server, and enabling the FPGAs to communicate directly, at datacenter scale, to harvest remote FPGAs unused by their local servers. We deployed this design over a production server bed, and show how it can be used for both service acceleration (Web search ranking) and network acceleration (encryption of data in transit at high-speeds). This architecture is much more scalable than prior work which used secondary rack-scale networks for inter-FPGA communication. By coupling to the network plane, direct FPGA-to-FPGA messages can be achieved at comparable latency to previous work, without the secondary network. Additionally, the scale of direct inter-FPGA messaging is much larger. The average round-trip latencies observed in our measurements among 24, 1000, and 250,000 machines are under 3, 9, and 20 microseconds, respectively. The Configurable Cloud architecture has been deployed at hyperscale in Microsoft's production datacenters worldwide.