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This paper aims to build an indoor positioning system capable of tracking residents and caregivers and feeding a novel information system with this data. This information system introduces three main interesting modules: a compact data structure to efficiently store the gathered data, an activity deduction module that add semantics to the raw captured trajectories and a user-friendly interface able to display this spatio-temporal information.

Their proposal was built following an iterative and incremental development. Nursing home managers cooperated in the requirement composition phase, while some residents and caregivers contributed testing the system with their real trajectories.

Their contribution is a functional information system that can evaluate the quality of healthcare provided to residents and assess the efficiency of the nursing home as a business. This information system includes a novel state-of-the-art compact data structure to efficiently work with the captured data.

A new system has been designed and implemented using a wide range of technologies to support the necessities of a real enterprise. The rudimentary position tracking systems were upgraded to a feasible automatic indoor positioning solution. The amount of information generated by this new strategy is dealt with compact data structures, reducing space usage without jeopardizing query times. Those compressed positions are tagged with semantic information that enables individual activity analysis. Last, a user-friendly interface lets the final user interact with the gathered and calculated information. As future work, the authors plan to improve the integration of this new information system with other systems already in use in indoor mobile workforce environments.

This study aims to develop a novel self-powered monitoring system that uses radio frequency (RF) energy harvesting and ultra-low-power management technologies for real-time condition monitoring of switch rails.

The system is designed for integration within the jump wire holes of switch rails, ensuring structural integrity and aesthetic appeal. It features a highly efficient energy harvesting mechanism combined with optimized power management for wireless sensor nodes. An on-board antenna captures ambient RF energy, managed by high-efficiency circuits to ensure stable wireless sensor operation. An ultra-low-power system-on-chip is used to acquire and transmit multimodal data on vibration and temperature from the switch rails. The data collection is enhanced through a two-threshold approach, adapting to harvested energy levels for self-energy balancing.

Testing revealed that the energy harvesting subsystem operated stably at distances up to 2.9 m from the RF source, charging a 200 µF capacitor to 4.2 V in just 220 s. The monitoring subsystem’s average power consumption is in the low microwatt range. Continuous operation over 30 days in real conditions resulted in only a 5 mV reduction in battery voltage, indicating successful self-powered operation and validating long-term reliability in unattended scenarios.

This research presents an innovative solution, integrating RF energy harvesting with ultra-low-power technology, which addresses the power and stability challenges faced by traditional monitoring systems.

To help supervisors understand the positions of workers in real-time, provide safety guidance for workers and reduce the occurrence of accidents. This study proposes a real-time positioning algorithm based on multi-source information coupling, aiming to solve the problem of workers’ autonomous positioning in signal-blind areas.

The proposed algorithm utilizes the visual SLAM and IMU sensors to perceive the environment, construct three-dimensional images, improve the accuracy of corner point matching, pre-integrate the raw IMU data, and adopt the tightly coupled method to couple the visual and inertial navigation data, thereby establishing a binocular visual SLAM and IMU coupling real-time positioning model.

The real-time positioning technology based on the coupling of visual SLAM and IMU shows good positioning effect and calculation speed in indoor sites, has good adaptability and accuracy in different building construction scenarios, and the positioning error can be controlled within 3%.

The successful construction of the real-time positioning method effectively alleviates the problem of inaccurate positioning caused by signal blind areas in the existing positioning management system, helps protect the lives and safety of construction site workers and improves the management efficiency of construction site supervisors.

The purpose of this study is to determine the components of support capability in academia-based business incubators (BIs) in higher education establishments in India to generate successful start-ups. Using both resource-based theory and resource-dependence theory, the study demonstrates how BIs provide support capability to mitigate market risks and optimize start-up sustainability and performance.

This study investigates how BIs obtain many resources to achieve start-up support capability by conducting a study in government-supported, academically backed BIs. Using partial least squares-structural equation modelling, a survey of start-up owners from these BIs was carried out to evaluate the linkages.

The aspects of academic-based BIs’ support capabilities were discovered in the current study. In addition, support capacity was identified in this study as a higher-order factor, and its link to connected aspects of support offered by the academic institution supporting BIs is described.

By establishing the precise characteristics of BIs’ support capability and explaining them as a higher-order element, the work adds to the body of knowledge. It improves knowledge of BIs’ potential to help start-ups’ performance and sustainability.

With the current developments within the sphere of Internet of Things (IoT) technology, many conventional articles are all being fitted with smart functionalities, ranging from chairs, beds, shoes and caps to underwear. Bags which are utility as well as fashion items have not been left out of this smart craze, albeit to a less popular degree. The purpose of this study is to fill the research gap on the subject of smart bags research and applications and to contribute to the general discourse on IoT.

This study adopts literature search and database review, concept mapping as well as synthesis methodologies. Relevant literature form databases such as Web of Science, Google Scholar and Bing Scholar were interrogated. Manual sifting was done to eliminate papers that do not fit the set inclusion criteria. Literature on smart bags was organized into structured frameworks using concept mapping methodology. Applying a synthesis methodology enabled an exploration of the different technological trends in smart bag research and their areas of application.

The study identified about 15 different smart bag applications and functionalities. Discussed in this study is a classification of bags based on a number of points such as way of carrying, size, utility and fabrication materials. Also discussed are the description of what constitute a smart bag, relevant technologies for smart bag design and engineering and subsequently the current trends in smart bag applications. This study also discovered that the air travel industry tend to have some difficulties with this smart bag technologies, specifically with their built-in batteries.

The results of this study will provide researchers and other stakeholders with key information about existing problems and opportunities in smart bag research and applications. This will go a long way to help in guiding future research as well as policymaking in smart bag design and application.

To the best of the authors’ knowledge, this is the first review on the subject of smart bags even though smart bag research and commercial product design continue to gain momentum in recent years.

The purpose of the present study is to reveal the antecedents of the new green product success (NGPS) of small and medium-sized enterprises (SMEs) that manufacture in Türkiye with a middle-income economy. To this end, a research model for the serial mediating role of green human capital (GHC) and green adaptive ability (GAA) in the relationship between green mindfulness (GM) and NGPS was developed and tested. Determining the driving forces of NGPS is essential due to the contributions of SMEs manufacturing, especially in middle-income economies, such as Türkiye, to the national economy.

The present study used partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships. The study hypotheses were tested in a sample of 396 manufacturing enterprises, qualified as SMEs in Türkiye with ISO 14001 certificates.

Empirical evidence indicates that GM, GHC and GAA act as significant antecedents of NGPS. Furthermore, empirical evidence demonstrates that GHC and GAA, in turn, mediate the relationship between GM and NGPS.

Managers, especially in manufacturing SMEs, should be aware that they need to develop intangible resources to improve NGPS. Increased investment in GM results in higher levels of GHC and GAA, which collectively leads to improved NGPS.

The current literature has not previously explained the mechanism of the relationship between GM and NGPS. The originality of the present study, which discusses the relevant research gap, is to develop an integrated framework to investigate how GM impacts NGPS, specifically for SMEs, and to test it empirically.

Construction safety is a crucial aspect that has far-reaching impacts on economic development. But safety monitoring is often reliant on labor-based observations, which can be prone to errors and result in numerous fatalities annually. This study aims to address this issue by proposing a cloud-building information modeling (BIM)-based framework to provide real-time safety monitoring on construction sites to enhance safety practices and reduce fatalities.

This system integrates an automated safety tracking mobile app to detect hazardous locations on construction sites, a cloud-based BIM system for visualization of worker tracking on a virtual construction site and a Web interface to visualize and monitor site safety.

The study’s results indicate that implementing a comprehensive automated safety monitoring approach is feasible and suitable for general indoor construction site environments. Furthermore, the assessment of an advanced safety monitoring system has been successfully implemented, indicating its potential effectiveness in enhancing safety practices in construction sites.

By using this system, the construction industry can prevent accidents and fatalities, promote the adoption of new technologies and methods with minimal effort and cost and improve safety outcomes and productivity. This system can reduce workers’ compensation claims, insurance costs and legal penalties, benefiting all stakeholders involved.

To the best of the authors’ knowledge, this study represents the first attempt in Bangladesh to develop a mobile app-based technological solution aimed at reforming construction safety culture by using BIM technology. This has the potential to change the construction sector’s attitude toward accepting new technologies and cultures through its convenient choice of equipment.

Healthcare has been facing rising challenges in recent years. To mitigate these issues, an appreciable amount of effort has been invested in studies about Healthcare 4.0. Despite the recognized importance of this topic, its recentness and multidisciplinary character are obstacles to its precise understanding. In this light, this paper aims to provide a comprehensive view of the current development of Healthcare 4.0.

We systematically reviewed the literature, which resulted in 130 papers retrieved from the Web of Science and Scopus databases. Quantitative and qualitative analyses were carried out using this sample.

As a result of the quantitative analysis, we notice an increasing trend in health-related studies, notwithstanding its novelty. India is also recognized as the leading reference on the subject, as it is the country with more papers in the sample and the most influential authors. On the other hand, through qualitative analysis, an extensive review and analysis of the technologies and applications of Healthcare 4.0 is presented, along with a discussion of its underexplored areas.

The results of this paper provide valuable knowledge to guide and encourage further analysis on this topic, including recommendations for future research directions.

Achieving tenure security is a global challenge impacting cities of the global south. The purpose of this paper is to evaluate the role of technology-enabled solutions as an enabler for the tenure rights of slum dwellers.

In this paper, we adopted a case study approach to analyze the use cases for technologies aiding India’s securitization of land tenure. The flagship state mission of Odisha, named the Jaga Mission, and that of Punjab, named BASERA – the Chief Minister’s Slum Development Program – were used as cases for this paper.

It was found that technologies like drone imagery and digital surveys fast-tracked the data collection and helped in mapping the slums with accuracy, mitigating human errors arising during measurement – a necessary condition for ensuring de jure tenure security. The adoption of a technology-based solution, along with a suitable policy and legal framework, has helped in the distribution of secure land titles to the slum dwellers in these states.

Odisha’s and Punjab’s journey in using technology to enable tenure security for its urban poor residents can serve as a model for the cities of the global south, dealing with the challenges of providing secure tenure and property rights.

The use of technology has increased in the industrial sector over the years. This has propelled the construction industry to follow suit by enhancing construction technology to experience the associated benefits. However, technology adoption in the construction environment has not been smoothly implemented. This article aimed to determine the obstacles to adopting sensing technology in managing construction projects in three major sub-Saharan African nations.

The study adopted a quantitative approach using structured questionnaires. The questionnaire link was sent to construction professionals in Nigeria, Ghana and South Africa, of which 120 were responded. Data received were analysed using the Statistical Package for Special Science (SPSS) to generate mean scores and the Kruskal–Wallis test and component analysis.

The results show that construction professionals face herculean tasks when adopting sensing technology in construction project management. Some prominent challenges are initial cost, lack of proper information technology (IT) infrastructure, power supply, lack of well-trained staff, maintenance cost, operating cost, cost of training, technology immaturity and resistance to change. The results also revealed that adoption challenges differ in these three countries, which may be attributable to the economic development level.

Despite the importance of sensing devices in construction industries, the study has revealed that Sub-Saharan African countries face enormous challenges in adopting them in project management and execution. This situation may hinder the industry’s ability to benefit from this technology in terms of efficiency, effectiveness and safety management, which may ultimately affect their cash flows.

The study provides a valuable understanding of the challenges encountered in implementing sensing technology in the construction sector in major countries within sub-Saharan Africa. These findings will enable the countries examined and other African countries to become cognizant of the challenges and implement strategies to overcome them, thereby enhancing performance in the construction industry.