The current rise of quantum technology is compelled by quantum sensing research. Thousands of research labs are developing and testing a broad range of sensor prototypes. However, there is a lack of knowledge about specific applications and real-world use cases where the benefits of these sensors will be most pronounced. This study presents a comprehensive review of quantum sensing state-of-practice. It also provides a detailed analysis of how quantum sensing overcomes the existing limitations of sensor-driven systems’ precision and performance. Based on the review of over 500 quantum sensor prototype reports, we determined four groups of quantum sensors and discussed their readiness for commercial usage. We concluded that quantum magnetometry and quantum optics are the most advanced sensing technologies with empirically proven results. In turn, quantum timing and kinetics are still in the early stages of practical validation. In addition, we defined four systems domains in which quantum sensors offer a solution for existing limitations of conventional sensing technologies. These domains are 1) GPS-free positioning and navigating services, 2) time-based operations, 3) topological visibility, and 4) environment detection, prediction, and modeling. Finally, we discussed the current constraints of quantum sensing technologies and offered directions for future research.

In this age of digital transformation, knowledge-intensive organizations strive to improve business outcomes and sustainability by improving their knowledge-intensive business processes (KIBPs) to obtain a competitive advantage. Many researchers have claimed that KIBP enhancement is possible through knowledge management (KM) initiatives supported by an effective KM infrastructure. Current KM infrastructures deal with formal KM procedures, where knowledge is created, stored, assimilated, and disseminated. Such activities, however, are designed to be performed outside of the business process. KM infrastructures are expected to be more effective when they include specific real-time knowledge procedures integrated into the operational flow of KIBPs. This paper explores how modern KM infrastructures can support KIBPs, considering both formal and operational KM procedures. Our study’s essential contribution is the conceptual KM infrastructure framework (KMIF) developed based on grounded theory research. This infrastructure provides a systematic and robust approach, starting from the ground up, for structuring organizational knowledge assets across a range of KIBP environments. We define operational knowledge procedures directly involved in KIBPs, adding a layer to KM infrastructures beyond the formal knowledge procedures. A mixed-method case study was conducted to demonstrate and evaluate the proposed KMIF for enhancing business outcomes and sustainability of knowledge-intensive organizations.

The vital role of civil engineering is to enable the development of modern cities and establish foundations for smart and sustainable urban environments of the future. Advanced sensing technologies are among the instrumental methods used to enhance the performance of civil engineering infrastructures and address the multifaceted challenges of future cities. Through this study, we discussed the shortcomings of traditional sensors in four primary civil engineering domains: construction, energy, water, and transportation. Then, we investigated and summarized the potential of quantum sensors to contribute to and revolutionize the management of civil engineering infrastructures. For the water sector, advancements are expected in monitoring water quality and pressure in water and sewage infrastructures. In the energy sector, quantum sensors may facilitate renewables integration and improve grid stability and buildings’ energy efficiency. The most promising progress in the construction field is the ability to identify subsurface density and underground structures. In transportation, these sensors create many fresh avenues for real-time traffic management and smart mobility solutions. As one of the first-in-the-field studies offering the adoption of quantum sensors across four primary domains of civil engineering, this research establishes the basis for the discourse about the scope and timeline for deploying quantum sensors to real-world applications towards the quantum transformation of civil engineering.

This study investigates the influence of digital infrastructure on creating an organizational climate conducive to digital transformation. It highlights the critical role of data lakes, network connectivity, and a shared digital language in cultivating an environment that aligns managerial objectives with employee engagement in digital initiatives. Through grounded theory methodology, the research uncovers how robust digital infrastructure can bridge the gap between leadership’s digital aspirations and employees’ practical use of digital tools, promoting data-driven decision-making and improving organizational performance. The findings suggest that a well-developed digital infrastructure is essential for fostering a digital climate that supports strategic business goals and enhances competitive advantage.