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This study aims to investigate the factors affecting urban economic development in emerging economic market countries and to provide a new research perspective on urban skyscraper construction.

An empirical analysis based on a difference-in-differences (DID) model is conducted using data of urban data in China that expand into developed markets from 2003 to 2018.

The results of the spatial heterogeneity test indicate that the construction of skyscrapers has a significant promotional effect on the eastern city's economy. In contrast, it has a significant inhibitory effect in the central and western regions. Further findings demonstrate that the construction of skyscrapers can influence urban economic development by promoting industrial agglomeration, especially when the transmission effect of the diversified accumulation of tertiary industry is more prominent. The expansion analysis shows that skyscrapers have increased the level of trade in the city, and the impact on trade has an optimal height.

This paper focuses on the economic and trade effects of skyscrapers, and the optimal height of skyscrapers needs to be discussed in more depth, which is also the next problem the researchers need to study.

The government should attach importance to and promote the construction of urban skyscrapers, and do a good job in overall planning and design. The city should formulate preferential policies in land, taxation, finance, system and other aspects to increase support for urban skyscraper construction and promote local economic development.

This study focuses on the impact of urban skyscraper construction on the economic and trade development of cities in developing countries, which not only complements the relevant research on the economic effects of urban skyscraper construction, but also helps to provide reference for the sustainable development of urbanization in many developing countries.

Although photographs in sustainability reports are useful in conveying complex messages, they may also be used to manipulate the presentation of disclosures to exploit the limited cognitive processing capacity of humans. Therefore, this paper aims to examine the features of photographs aimed at capturing individuals’ attention through visual structures and evoking specific emotions through carefully chosen content. Furthermore, it examines whether such framing practice is explained by incentives for legitimizing behaviours and influencing reputation.

The authors conduct a content analysis of photographs in 154 sustainability reports published by US companies. The authors captured the nature of photographs, the context in which they are being used, their themes and emotional content and layout and interaction features to understand how photographs are used for attribute framing to influence information processing. Furthermore, the authors statistically examine the framing practice between companies with different characteristics to identify any patterns for the impression management use of photographs in sustainability reports.

Photographs are often large with a horizontal orientation to capture attention and show content viewed at eye level and in either medium or close-up shots to engage viewers. Furthermore, photographs are emotionally loaded with different themes such as depictions of people, technology and nature. These themes are used to predominately evoke positive emotions of awe, nurturance, pride, amusement and attachment. This practice is often used by companies in environmentally sensitive areas that have close consumer relationships or are covered controversially in the media.

The authors reveal reporting practices and identify photographic features that attract attention and convey emotions that go beyond aesthetic qualities. This is important because emotions conveyed through photographs can be potentially misleading and influence judgements subconsciously.

In order to determine whether the factors affecting office worker well-being are location dependent, this exploratory study analyses the relative importance of different “building well-being” factors for prime office workers in two leading but environmentally contrastive real estate markets: London and Hong Kong.

This paper adopts a mixed methods sequential explanatory design (follow-up explanations model), consisting of three phases: an exploratory phase to refine the building well-being factors, a quantitative phase utilising a questionnaire to assess the relative importance of these building well-being factors (N = 281: London = 171; Hong Kong = 110), followed by a final phase of follow-up interviews with respondents to explore the reasons behind the significant differences observed in the quantitative phase (N = 13: London = 7; Hong Kong = 6).

While London and Hong Kong share some highly-ranking factors in common, significant differences in importance are observed for 17 of the 31 identified factors as a result of contrasting physical, economic, and cultural environments.

Despite growing recognition of the importance of the built environment on well-being, to the authors’ knowledge there has been no previous research investigating how building well-being demands may vary systematically across geographies. Understanding these differences has important implications for interpreting building well-being research, effective business operations, real estate investment, building certification scheme design, and governance of the built environment.

Corporate social responsibility (CSR) and innovation are the two main approaches firms utilize to promote sustainable development. However, as yet, scholars have reached no consensus regarding their precise impact on construction firm performance (CFP), hindering efforts to implement effective sustainable development strategies that improve CFP. In view that a simple linear relationship may not be sufficient to capture their precise pattern, this study aims to unveil the nonlinear impact of CSR and innovation on CFP, especially when construction firms take up a distinct competitive position.

This study first proposed four hypotheses to establish a new theoretical model by incorporating CSR, innovation, CFP and construction firms' competitive position (CFCP). Then the model was tested by using 292 annual observations collected from 75 construction firms in China. A multiple regression model analysis was carried out to analyze the survey data and validate the hypotheses.

The results reveal that both CSR and innovation have a U-shaped impact on the price-to-book ratio of a construction firm, a specific CFP measure. CFCP negatively moderates the U-shaped relationship between CSR and CFP, but positively moderates the U-shaped relationship between innovation and CFP.

This study goes beyond a simple linear view, instead of unveiling the nonlinear U-shaped effects of CSR and innovation on CFP that deepen the understanding of their complex relationships in the construction industry and makes construction firms aware that CSR and innovation can only improve performance if they reach a certain level. The moderating role of CFCP provides important implications for construction firms seeking to adopt appropriate competitive strategies related to social responsibility and innovation that both promote CFP and achieve sustainable development.

The study aims to investigate the low-velocity impact (LVI) on the surface of a beam with a changeable cross-sectional area. In the study “LVI on a beam with a changeable cross-sectional area and clamped-free boundary conditions”, the effect of changes in the cross-section are on the contact force, the beam displacement, the impactor displacement and the impactor velocity are investigated.

To obtain the motion equations, first, a field of displacements of the beam is written using third-order shear deformation of beams, including the exponential shear–strain function, and then the energy method is used. By combining Hamilton’s approaches and Ritz’s method, finally, the equations of motion are extracted. Using ABAQUS finite element code, validation of the theoretical approach is carried out. In this study, the beam with changeable cross-sectional area is considered in such a way that the height of the beam is constant, but the width of the beam changes linearly.

The results show that assuming the width of the beam in the clamped support is constant, an increase in the width of the beam in the free support leads to an increase in the peak contact force and the residual velocity of the impactor, also, the peak displacement of the beam and the impactor are decreased.

It can be shown from the analysis of LVI on beams with nonuniform cross-sectional area that the important influence on the contact force, impactor residual velocity, beam displacement and impactor displacement is achieved.

Unlike many existing methods that are primarily focused on two-dimensional localization, this research paper extended the scope to three-dimensional localization. This enhancement is particularly significant for unmanned aerial vehicle (UAV) applications that demand precise altitude information, such as infrastructure inspection and aerial surveillance, thereby broadening the applicability of UAV-assisted wireless networks.

The paper introduced a novel method that employs recurrent neural networks (RNNs) for node localization in three-dimensional space within UAV-assisted wireless networks. It presented an optimization perspective to the node localization problem, aiming to balance localization accuracy with computational efficiency. By formulating the localization task as an optimization challenge, the study proposed strategies to minimize errors while ensuring manageable computational overhead, which are crucial for real-time deployment in dynamic UAV environments.

Simulation results demonstrated significant improvements, including a channel capacity of 99.95%, energy savings of 89.42%, reduced latency by 99.88% and notable data rates for UAV-based communication with an average localization error of 0.8462. Hence, the proposed model can be used to enhance the capacity of UAVs to work effectively in diverse environmental conditions, offering a reliable solution for maintaining connectivity during critical scenarios such as terrestrial environmental crises when traditional infrastructure is unavailable.

Conventional localization methods in wireless sensor networks (WSNs), such as received signal strength (RSS), often entail manual configuration and are beset by limitations in terms of capacity, scalability and efficiency. It is not considered for 3-D localization. In this paper, machine learning such as multi-layer perceptrons (MLP) and RNN are employed to facilitate the capture of intricate spatial relationships and patterns (3-D), resulting in enhanced localization precision and also improved in channel capacity, energy savings and reduced latency of UAVs for wireless communication.

This study aims to explore the correlation between Management Control Systems, Green Innovation, Social Media Networks, and Company Performance in medium-sized construction and real estate firm in Indonesia.

This research method uses quantitative approach. The sample selection technique uses simple random sampling. The analytical method in this study uses structural equation models based on variance. Statistical test tool used, is Smart PLS 3.0.

The management control systems have a significant and positive impact on social media networks, green innovation, and company performance in the upper-middle-class construction and real estate businesses in Java. Furthermore, social media networks and green innovation were found to mediate the strong relationship between management control systems and firm performance in medium-sized construction and real estate businesses in Java.

This research should provide a detailed, technical, and structured explanation of how companies assess suitability standards for implementing green innovation in Indonesia’s construction and real estate sectors.

The finding emphasize the importance of the management control system in enhancing firm performance. If, the elements of the management control system are met or adequate, it can improve the performance of those in charge, leading to satisfactory performance.

This finding is the first of its kind in Indonesia. It will contribute to shaping future development policies for government and private projects, ensuring they are more advance and environmentally conscious.

This study aims to investigate the evolving concept of the metaverse and its implications for service innovation. It seeks to understand how integrating technologies such as extended reality, blockchain, artificial intelligence and non-fungible tokens enables companies to experiment and innovate.

Adopting a qualitative methodology, this investigation conducts an immersive netnography across more than 25 case studies spanning diverse industries such as gaming, retail, health care and education. The thematic analysis method is used to distill critical insights, providing a deep dive into the technological enablers, innovation processes and market adaptations within the metaverse.

The study addresses four main building blocks through which companies experiment with the metaverse to foster innovation: enabling virtual identities’ agency, developing non-fungible tokens, designing immersive paths and crafting phygital microworlds. They shape the metaverse by enacting actors, resources, processes and phygital ecosystems. Companies obtain learning outcomes from such experimentation and identify learning challenges.

This research contributes to the nascent body of knowledge on the metaverse and service innovation by providing a comprehensive framework that encapsulates the multifaceted ways companies experiment within the metaverse. It extends the understanding of digital-physical convergence in service research, offering theoretical and practical insights into the development of phygital service ecosystems.

Este estudio tiene como objetivo investigar el concepto en evolución del Metaverso y sus implicaciones para la innovación en servicios. Busca comprender cómo la integración de tecnologías como la realidad extendida, la cadena de bloques, la inteligencia artificial y los tokens no fungibles permite a las empresas experimentar e innovar.

Adoptando una metodología cualitativa, esta investigación realiza una netnografía inmersiva a través de más de 25 estudios de casos que abarcan diversas industrias como los juegos, el comercio minorista, la atención médica y la educación. Se emplea el método de análisis temático para destilar conocimientos críticos, brindando un profundo análisis de los habilitadores tecnológicos, los procesos de innovación y las adaptaciones al mercado dentro del Metaverso.

El estudio aborda cuatro bloques principales a través de los cuales las empresas experimentan con el Metaverso para fomentar la innovación: habilitar la agencia de identidades virtuales, desarrollar tokens no fungibles, diseñar senderos inmersivos y crear micromundos físico-digitales. Estos dan forma al Metaverso mediante la actuación de actores, recursos, procesos y ecosistemas físico-digitales. Las empresas obtienen resultados de aprendizaje de dicha experimentación e identifican desafíos de aprendizaje.

Esta investigación contribuye al cuerpo de conocimiento incipiente sobre el Metaverso y la innovación en servicios al proporcionar un marco integral que encapsula las diversas formas en que las empresas experimentan dentro del Metaverso. Amplía la comprensión de la convergencia digital-física en la investigación de servicios, ofreciendo ideas teóricas y prácticas sobre el desarrollo de ecosistemas de servicios físico-digitales.

这项研究旨在探讨元宇宙概念的演变以及其对服务创新的影响。其目标在于深入理解通过整合增强现实、区块链、人工智能以及非同质化代币等技术, 如何使企业得以进行实验和创新。

本研究利用定性研究方法, 进行了一项沉浸式网络民族志调查, 涵盖了跨越游戏、零售、医疗保健和教育等多个行业的25多个案例。通过主题分析方法, 提炼出关键见解, 深入探讨了元宇宙内的技术驱动因素、创新过程和市场适应性。

这项研究以四个主要方面为切入点, 探讨了企业在元宇宙中促进创新的方法：启用虚拟身份的代理、开发非同质化代币、设计沉浸式路径以及打造物理-数字微观世界。通过这些措施, 企业塑造了元宇宙, 涉及行动者、资源、过程和物理-数字生态系统的执行。在此类实验中, 企业积累了丰富的学习经验, 并面临了

本研究旨在建立一个全面的框架, 以拓展关于元宇宙和服务创新的新知识, 揭示企业在元宇宙中进行实验的多方面方式。它不仅扩展了服务研究领域中数字与物理融合的理解, 还提供了有关发展物理-数字服务生态系统的理论和实践见解。

The construction industry is witnessing a paradigm shift as a consequence of the fourth industrial revolution (IR 4.0). The implementation of IR4.0 technologies is, however, elementary in emerging economies such as Saudi Arabia. Therefore, the purpose of this paper is to carry out an examination of benefits, challenges and critical success factors for IR4.0 implementation in the construction industry in Saudi Arabia.

The methodology entailed a thorough review of the extant literature and consultation with experienced construction professionals in Saudi Arabia through questionnaire surveys. The data collected was further analyzed using the relative importance index approach and the confirmatory factor analysis.

The most important benefits, challenges and critical success factors established by this study include “Improved Communication and Coordination,” “Cost of implementation (initial investment and maintenance)” and “Clear goals and objectives,” respectively. Confirmatory factor analysis established a theoretical model to serve as a foundation for IR4.0 adoption in the Saudi construction industry.

The limitations may be perceived in terms of the local context of the research, as well as the sample size. This prevents the potential for generalization of the study’s results.

It is of practical value to the Saudi construction industry in facilitating the successful implementation of technology through policies, frameworks and best practice guidance.

The study advances the theoretical knowledge of technology implementation in the construction industry. Emerging economies such as Saudi Arabia seeking to leverage the capabilities of digital technologies will find the results of this to be of crucial value.