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The purpose of this paper is to relate to the real-time navigation and tracking of pedestrians in a closed environment. To restrain accumulated error of low-cost microelectromechanical system inertial navigation system and adapt to the real-time navigation of pedestrians at different speeds, the authors proposed an improved inertial navigation system (INS)/pedestrian dead reckoning (PDR)/ultra wideband (UWB) integrated positioning method for indoor foot-mounted pedestrians.

This paper proposes a self-adaptive integrated positioning algorithm that can recognize multi-gait and realize a high accurate pedestrian multi-gait indoor positioning. First, the corresponding gait method is used to detect different gaits of pedestrians at different velocities; second, the INS/PDR/UWB integrated system is used to get the positioning information. Thus, the INS/UWB integrated system is used when the pedestrian moves at normal speed; the PDR/UWB integrated system is used when the pedestrian moves at rapid speed. Finally, the adaptive Kalman filter correction method is adopted to modify system errors and improve the positioning performance of integrated system.

The algorithm presented in this paper improves performance of indoor pedestrian integrated positioning system from three aspects: in the view of different pedestrian gaits at different speeds, the zero velocity detection and stride frequency detection are adopted on the integrated positioning system. Further, the accuracy of inertial positioning systems can be improved; the attitude fusion filter is used to obtain the optimal quaternion and improve the accuracy of INS positioning system and PDR positioning system; because of the errors of adaptive integrated positioning system, the adaptive filter is proposed to correct errors and improve integrated positioning accuracy and stability. The adaptive filtering algorithm can effectively restrain the divergence problem caused by outliers. Compared to the KF algorithm, AKF algorithm can better improve the fault tolerance and precision of integrated positioning system.

The INS/PDR/UWB integrated system is built to track pedestrian position and attitude. Finally, an adaptive Kalman filter is used to improve the accuracy and stability of integrated positioning system.

In the academic field of business management, several potential theories were established during the last decades to explain companies' decisions, organizational behavior, consumer patterns, and internationalization, among others. As a result, businesses and scholars were able to analyze and decide based on theoretical approaches to explain the current conditions of the market. Secondary research was conducted to collect more than 36 management theories. This chapter aims to develop the most famous theories related to business applied in the international field. The novelty of this chapter relies on the compilation of recognized previous research studies from the academic literature and evidence in international business.

The purpose of this paper is with robust control problem for event-triggered networked control systems (NCSs) with actuator failures and time-varying transmission delays.

A random sequence is introduced to describe the actuator faults, and a novel event-triggering communication scheme is adopted in the sensor-to-controller channel. By taking the event-triggered mechanism and network transmission delay into consideration, a delay system model is constructed.

Based on Lyapunov stability theory and free weighting matrix method, the feasibility criteria for co-designing both the controller gain and the trigger parameters are derived. Finally, a simulation example is exploited to demonstrate the effectiveness of the proposed linear matrix inequalities (LMIs) approach.

The introduced approach is interesting for NCSs with actuator failures and time-varying transmission delays.

Because of its impact on organisational growth, innovation and employee performance, knowledge hiding (KH) as a construct has gained increased attention from scholars and practitioners in recent years. The purpose of this paper is to conduct a systematic review of the existing literature on KH and take the stock of the current literature, identify research streams and offer recommendations on areas where KH may be investigated further.

In this study, the authors used systematic review methods to investigate the current state of KH research, and using thematic coding, the authors identified the current research streams and offer directions for future research.

The review of literature identified geographic representation of KH research, methodological approaches to explore KH and the prominent theories adopted to investigate KH, and through research synthesis, the antecedents and moderators/mediators of KH were identified. Subsequently, the authors also found seven research streams where KH has been predominantly studied. Finally, the authors provide suggestions of where the future research in KH might be headed.

This paper is one of the few to offer systematic review of KH literature and identify unexplored areas to be investigated in future research – which is the integral part of knowledge management process.

This paper examines how personal networks influence the internationalization process of Russian multinational corporations.

We identify and review 78 articles published in five International Business journals that address the role of networking and relationships in firm internationalization. We then use the network perspective to examine how Russian multinationals internationalize.

Combining the key conclusions of the reviewed studies with insights from the network perspective, and adding insights that we have gained both through first-hand experience and by following the Russian business media, we develop a model that links personal networking and Russian multinationals’ internationalization. We outline four functions that personal networking plays – access to information and knowledge, resource commitment, development of marketing and sales capabilities, and further network expansion.

This paper challenges established views of how firm internationalization occurs. It combines two previously unrelated streams of literature, the network model of internationalization and the role of personal networking within the Russian business environment, and argues that personal networking plays a much larger role in how Russian MNCs internationalize than has the International Business literature has acknowledged.

Understanding employee knowledge hiding behavior can serve organizations in better implementing knowledge management practices. The purpose of this study is to investigate how personality and work climate influence knowledge hiding, by examining the respective roles of openness to experience and relational (specifically, communal sharing and market pricing) climates.

Multilevel modeling was used with two distinct samples, one from Vietnam with 119 employees in 20 teams and one from The Netherlands with 136 employees in 32 teams.

In both samples, the hypothesized direct relationship between openness and knowledge hiding was not found. In the Vietnamese sample, only the moderating effect of market pricing climate was confirmed; in the Dutch sample, only the moderating effect of communal sharing climate was confirmed. The findings of the Vietnamese sample suggest that people with a high sense of openness to experience hide knowledge less under low market pricing climate. In the Dutch sample, people with high openness to experience hide knowledge less under high communal sharing climate. The authors conclude that, in comparison with personality, climate plays a stronger role in predicting knowledge hiding behavior.

Small sample size and self-reported data might limit the generalizability of this study’s results.

The paper highlights how organizational context (relational climate) needs to be taken into account in predicting how personality (openness to experience) affects knowledge hiding.

This paper contributes to a better understanding of the knowledge hiding construct by extending the set of known antecedents and exploring the organizational context in which such phenomena happen.

This paper aimed to introduce a systematic body of knowledge via a scientometric review, guiding the sustainable transition from conventional construction to prefabricated construction. The construction industry currently faces a challenge to balance sustainable development and the construction of new buildings. In this context, one of the most recent debates is prefabricated construction. As an emerging construction approach, although existing knowledge makes contributions to the implementation of prefabricated construction, there is a lack of a comprehensive and in-depth overview of the critical knowledge themes and gaps.

This study uses the scientometric analysis to review the state-of-the-art knowledge of prefabricated construction. It retrieved data from the Web of Science core collection database. CiteSpace software was used to conduct the analysis and visualization; three analysis methods identify the knowledge hotspots, knowledge domains and knowledge topics. Finally, according to integrating the hidden connections among results, a body of knowledge for prefabricated construction application can be inferred.

The results show that 120 knowledge hotspots, five critical knowledge domains and five prominent knowledge topics are vital for promoting implementation of prefabricated construction. Based on the afore analysis, a body of knowledge for prefabricated construction that can systematically cover a broad knowledge of prefabricated construction-related research and activities are integrated and proposed in this paper.

Body of knowledge systematically covers a broad knowledge of prefabricated construction applications and is vital to guide researchers and practitioners to conduct related research and activities, thereby promoting the sustainable transition to prefabricated construction implementation.

Modern Methods of Construction (MMC) have been promoted as a solution to address housing shortages and meet sustainability goals in the UK. However, the practical functioning of MMC, particularly in relation to early-stage environmental analyses, remains underexplored. This study aims to fill this gap by providing empirical insights into how architects engage in environmental analysis in early-stage MMC housing designs.

This qualitative pilot study is based on a detailed case study of a UK architectural firm specializing in modular housing. Semi-structured interviews were conducted with eight architects with varying MMC experience. Thematic analysis of the qualitative data allowed for the exploration of key themes influencing early-stage environmental analysis, offering a narrative account of architects’ experiences in MMC practices.

The study reveals that environmental analysis in MMC is shaped by social, organisational and project-based factors. Three key themes emerged: uncertainty in environmental assumptions, dependencies on external consultants and the dominance of Passivhaus principles in design decisions. These factors challenge the integration of environmental considerations during the early design stages of MMC projects.

As this is a single case study, the findings might not be generalizable. Future research should expand on multiple firms and project settings to validate and broaden these findings.

This study provides an in-depth understanding of the challenges architects face when integrating environmental analysis into MMC. This reveals the relational and interdependent nature of environmental analysis in MMC projects, where decisions are shaped by multiple social, organisational and project-specific factors. By emphasizing these interdependencies, this study provides original insights into how environmental considerations can be integrated more effectively into the early design stages of MMC projects.

The principle of the medial axis calculation is complicated and difficult to implement. Moreover, the accuracy is not high. Then, as the generated path has an endpoint at the boundary of the polygon, burrs may appear on the surface of the molded piece. This paper aims to improve the warpage deformation of SLM molded parts and the surface quality of molded parts, an improved mid-axis path generation algorithm is proposed.

First, the center point is calculated by the seed point growth method based on the distance transform, and the obtained medial axis has high precision and is suitable for simple polygons and complex polygons. Then, based on the extracted medial axis, a preliminary path is generated, the path is trimmed with MATLAB to remove the redundant path. Finally, a scan along the contour of the polygon is performed to improve the surface quality of the molded part.

The algorithm reduces the internal stress generated during the molding process by continuously changing the scanning direction of the path along the boundary curve of the scanning area, thereby reducing the amount of warpage of the molded part. The result of extraction has a higher precision and wider scope of application than other methods to extract central axis, such as the Voronoi diagram-based method. The path is trimmed to remove redundant paths and the polygon boundaries are scanned to further improve the surface quality of the molded part. The results show that warpage deformation of the proposed algorithm is significantly smaller than the other two methods, thus the forming precision is higher.

An improved medial axis path generation algorithm is proposed in this paper. The proposed method is applied to improve warpage deformation occurring in the SLM process. Seed point growth of distance transformation is used to extracted central axis. The result of extraction has a higher precision and wider scope of application than other methods to extract central axis, such as the Voronoi diagram-based method.

In this study, the effects are investigated of brand and product storytelling on customer assessments of perceived attitude, quality, experience, recommendation and purchase intention based on narrative transportation theory within the domain of winery e-commerce.

In the research, two distinct constructs are introduced for brand and product storytelling, and multivariate analysis of variance is applied to analyze data collected from 391 respondents from the UK.

It is indicated in the study that embedding storytelling into elements, such as age verification screens on e-commerce sites, notably improves evaluations for both brands and products. Product storytelling broadly boosts customer appraisals in every evaluated aspect, while brand storytelling shows effectiveness in more limited cases. This suggests that narratives focused on products may have a wider appeal in enhancing the online customer experience.

This research underscores the strategic significance of balancing the focus between brand and product in crafting storytelling narratives for e-commerce contexts. It offers new insights into tailoring storytelling to meet individual consumer needs online, enriching the existing body of literature on storytelling’s application in digital commerce. Importantly, the study provides actionable guidance for wineries and other businesses aiming to enhance their online customer engagement through targeted narrative strategies.