Orientation: Higher education institutions have the potential to produce quality human resources. For this reason, it is necessary to monitor the quality of its teaching workforce. Research purpose: The purpose of this study is to investigate the influence that transformational leadership and organisational culture have on the performance of lecturers and to examine the possible moderating effect that honest conduct may have on the link between these two factors. Motivation for the study: This study was conducted because the author wants to know the influence that transformational leadership and organisational culture have on the performance of lecturers through moderating sincere behaviour. Research approach/design and method: This study is considered explanation-grounded research. The sample consists of 170 Indonesian academics working at various universities. This research makes use of a technique known as structural equation modelling-partial least squares (SEM-PLS). Main findings: The study findings show a significant relationship between transformational leadership culture in the workplace and the impact on lecturer success. Furthermore, the results of the study suggest that sincerity plays a moderating function in the connection between transformative leadership and organisational culture on lecturer performance. Practical/managerial implications: The policy makers in higher education institutions could be able to implement policies for lecturers in improving lecturer performance through the application of transformational leadership and organisational culture. Contribution/value-add: The results of this research provide valuable insights for decision makers in an effort to improve lecturer performance.

Nowadays, a pedestrian navigation system using a smartphone has become popular as a useful tool to reach an unknown destination. When the destination is the office of a person, a detailed map information is necessary on the target area such as the room number and location inside the building. The information can be collected from various sources including Google maps, websites for the building, and images of signs. In this paper, we propose a map information collection tool for a pedestrian navigation system. To improve the accuracy and completeness of information, it works with the four steps: (1) a user captures building and room images manually, (2) an OCR software using Google ML Kit v2 processes them to extract the sign information from images, (3) web scraping using Scrapy (v2.11.0) and crawling with Apache Nutch (v1.19) software collects additional details such as room numbers, facilities, and occupants from relevant websites, and (4) the collected data is stored in the database to be integrated with a pedestrian navigation system. For evaluations of the proposed tool, the map information was collected for 10 buildings at Okayama University, Japan, a representative environment combining complex indoor layouts (e.g., interconnected corridors, multi-floor facilities) and high pedestrian traffic, which are critical for testing real-world navigation challenges. The collected data is assessed in completeness and effectiveness. A university campus was selected as it presents a complex indoor and outdoor environment that can be ideal for testing pedestrian navigations in real-world scenarios. With the obtained map information, 10 users used the navigation system to successfully reach destinations. The System Usability Scale (SUS) results through a questionnaire confirms the high usability.

Construction service companies have projects that must be finished and require workers. Failure to manage construction human resources can jeopardize goal achievement, performance, and revenues for construction service companies. The construction industry may encounter issues in the future because of inefficient human resource management. As a result, resource management has emerged as a prominent topic. This study aims to investigate the effect of transformational and transactional leadership on organizational citizenship behavior. This study utilizes a quantitative approach. The population in this study were employees from 8 construction companies in Indonesia. Questionnaire data were collected from 120 employees of the construction companies that intended to improve job satisfaction and organizational citizenship behavior. The study initially employed questionnaires to gather data, which were subsequently analyzed using SmartPLS software and structural equation modeling. The findings demonstrated a correlation between employee engagement and both transformational and transactional leadership styles. There is a positive correlation between employees’ job satisfaction and their commitment to volunteer in the community. The study shows that the transformational and transactional leadership style does not significantly affect organizational citizenship behavior.

Nowadays, closed-circuit television (CCTV) cameras are deployed worldwide to monitor movements of humans and other objects to improve the efficiency and safety of societies. Therefore, their proper placement is crucial for achieving effective surveillance coverage. Additionally, their proper placement is significantly important for maximizing visual coverage while reducing installation/management costs. For this task, digital twin is a useful technology, since it can simulate coverage and blind spots while freely changing camera locations. To implement digital twin, 3D modelling of a structure including a complex room is a key issue. In this paper, we propose a 3D indoor modelling method using 360° panoramic images and show its application to a CCTV camera placement optimization. This method constructs a structured 3D model of a target room from captured 360° panoramic images using a 3D Gaussian Splatting reconstruction method based on a visual simultaneous localization and mapping (VSLAM) framework. The Inertial Measurement Unit (IMU) is used together to improve the camera position estimation accuracy. The model construction is anchored using a GNSS/GPS reference to establish global spatial coordinates. As an application of the generated 3D model, optimal locations of a given number of CCTV cameras are determined by combining ray-casting visibility analysis and a greedy optimization algorithm in the virtual environment, maximizing visual coverage while minimizing blind spots and avoiding excessive overlap between camera views. For evaluations, we applied the proposed method to three rooms in Okayama University, Japan, and seven rooms in the Indonesian Institute of Business and Technology, Indonesia. After optimizing camera locations in the virtual environment, the cameras were actually installed in the rooms according to the recommended positions. The performance was evaluated using visibility coverage, blind spot reduction, and Root Mean Squared Error (RMSE) between the estimated and actual camera positions, where promising results were achieved.

Nowadays, speakers are essential components for message delivery in indoor environments, including lectures, public addresses, and emergency announcements. Their physical placement should ensure adequate direct-sound audibility across occupant service areas while maintaining installation feasibility. A digital twin is a technology that allows an infrastructure layout to be designed and evaluated virtually on a computer before physical installation by reconstructing an indoor environment as a 3D model. In previous studies, we have proposed a method to reconstruct a 3D indoor model of an indoor environment from its ${360}^{\circ }$ panoramic images using 3D Gaussian Splatting (3DGS) and a 3D point cloud, and applied it to surveillance camera placement. In this paper, we propose a digital twin-based speaker placement planning tool for indoor environments by generalizing the previous method to direct-sound acoustic simulation. This tool consists of four stages: (1) reconstructing a 3D indoor model from ${360}^{\circ }$ panoramic images and extracting floor and desk receiver surfaces, (2) assigning the initial speaker budget based on the reconstructed floor area, (3) determining speaker mounting positions on valid ceiling regions using K-means spatial clustering under obstacle and boundary constraints, and (4) simulating broadband direct-sound sound pressure level (SPL) across floor and desk receiver surfaces. For evaluation, the proposed tool was deployed across three real-world indoor scenarios: a basketball hall ($32.15 \mathrm{m}\times 21.99 \mathrm{m}$), a furnished office ($7.17 \mathrm{m}\times 6.17 \mathrm{m}$), and a non-convex L-shaped office ($23.00 {\mathrm{m}}^2$). The experimental results showed that in each scenario, the generated layout achieved complete direct-sound audibility compliance across all sampled physical test locations (≥60 dB floor/≥65 dB desk) with zero detected hotspots exceeding $85 \mathrm{dB}$, maintaining SPL values between $66.91 \mathrm{dB}$ and $77.88 \mathrm{dB}$. An on-site physical measurement campaign confirmed that the generated layouts satisfy target audibility thresholds under real room conditions, with mean absolute errors between $1.78 \mathrm{dB}$ and $2.41 \mathrm{dB}$. These results confirm the practical utility of our approach as an initial geometry-driven planning tool for indoor audio infrastructure deployment.