Hasil untuk "Real estate business"

Hlabanang J. Makofane, Huibrecht M. van der Poll, Silas Mukwarami

The commercial real estate (CRE)’s slow progress in adopting green practices suggests the need to strengthen sustainable environmental accountability efforts. The green practices can be strengthened and complemented by incorporating environmental management accounting (EMA) practices into business strategic planning to achieve sustained ecological and business performance in South Africa’s CRE. A systematic literature review of 75 journal articles provides insights into EMA practices and green practices in the CRE sector. The findings suggest that implementing EMAPs, such as applying energy accounting, carbon management accounting, life-cycle costing, and the sustainability balanced scoreboard, is responsible for improving environmental sustainability performance. EMA’s role in promoting sustainable performance in the CRE sector involves potential cost savings, reduced energy usage, lower greenhouse gas emissions, and enhanced efficiency. Moreover, EMA addresses environmental issues in product pricing and formulating environmentally sensitive decisions that simultaneously address sustainable performance challenges. Therefore, the study’s findings pave the way for stakeholders in the CRE sector to work toward a coherent green practices framework. The study presents the South African context and can be generalized across other developing African countries in the Global South. Calls for future research highlight the challenges of implementing EMA in the CRE sector of developing countries.

Antonio Benvenuti, Matteo Negri, Francesca Salvo et al.

The determination of Property Value (PV), understood as sustainable value, plays a central role in the prudential valuation of properties, with significant implications for credit risk management and the financial stability of banking institutions. Regulation (EU) 2024/1623 requires the adoption of estimation methodologies grounded in scientific rigor, objectivity, and longterm sustainability, distinguishing PV from Market Value (MV) and ensuring its independence from speculative market dynamics. This paper proposes an innovative procedure for determining PV based on an income approach, consistent with the principles of prudential valuation as defined by international standards and European legislation.The model is inspired by the German Mortgage Lending Value (MLV) methodology, reworked to account for PV-specificities, and introduces corrective measures to ensure income sustainability, mitigate market risk, and integrate ESG factors into the evaluation process. By analyzing economic, technical, and regulatory variables in a structured manner, the model establishes a stable, prudent, and speculative-free value, ensuring the soundness of mortgage guarantees. The methodology’s effectiveness is verified through a case study that highlights PV’s greater robustness than MV in mitigating credit risk.The proposed methodological architecture is configured as a reference tool for valuation professionals and financial institutions, with development perspectives focused on integrating advanced econometric models to improve the calibration of risk and ESG variables.

Emma White, Jana Stupavsky, Brandon T. Hastings et al.

ABSTRACT Understanding which factors predict species sensitivity to climate change requires comparative studies conducted under standardized conditions. Reptiles are particularly vulnerable to climate shifts due to their reliance on external temperatures to regulate body temperature. As such, available environmental temperatures may influence their behavior as they seek more optimal conditions. In this study, we measured thermal habitat use in 73 individuals across nine turtle species housed under semi‐natural conditions at a single location. Ambient temperatures within each enclosure were also recorded every 20 min for 3 months to determine the range of thermal options available, yielding over 650,000 data points. We then compared experienced habitat temperatures to environmental conditions across the native range of each species. Experienced habitat temperatures generally aligned with native conditions. However, several species—including Terrapene carolina, Chelonoidis denticulata, and Indotestudo elongata—experienced habitat temperatures near the lower limit of what was available in enclosures and showed little individual variation, suggesting limited capacity for behavioral adjustment under future warming. Experienced habitat temperatures differed among species and were influenced by body mass, but not sex. By providing the first large‐scale, cross‐species dataset on experienced habitat temperatures in turtles under standardized conditions, this study offers a framework for assessing thermal vulnerability and adaptive capacity in response to climate change. These findings also inform conservation efforts, including the design of captive environments that reflect species‐specific thermal needs.

Diego Calvanese, Angelo Casciani, Giuseppe De Giacomo et al.

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for governing autonomous agents executing processes in organizations. From a management perspective, APM represents a paradigm shift from the traditional process view of the business process, driven by the realization of process awareness and an agent-oriented abstraction, where software and human agents act as primary functional entities that perceive, reason, and act within explicit process frames. This perspective marks a shift from traditional, automation-oriented BPM toward systems in which autonomy is constrained, aligned, and made operational through process awareness. We introduce the core abstractions and architectural elements required to realize APM systems and elaborate on four key capabilities that such APM agents must support: framed autonomy, explainability, conversational actionability, and self-modification. These capabilities jointly ensure that agents' goals are aligned with organizational goals and that agents behave in a framed yet proactive manner in pursuing those goals. We discuss the extent to which the capabilities can be realized and identify research challenges whose resolution requires further advances in BPM, AI, and multi-agent systems. The manifesto thus serves as a roadmap for bridging these communities and for guiding the development of APM systems in practice.

Mardiyani Mardiyani, Acep Komara, Resso Panji Adella et al.

Purpose: The research effort is designed to assess the interdependency among the variables specifically, the Debt-to-Equity Ratio (DER) and Total Asset Turnover (TATO) to establish their collective impact on the dependent variable, Return on Assets (ROA). The scope is limited to an examination of financial data from IDX-listed property and real estate entities throughout the three-year timeframe between 2021 and 2023. Design/methodology/approach: The research employed SPSS (version 26) to conduct the necessary preliminary analyses. These included checks for normality, autocorrelation, multicollinearity, and heteroscedasticity, which are the standard statistical assumptions. The study's hypotheses were evaluated through multiple linear regression analysis, incorporating necessary t-tests and F-tests. The choice of a purposive sampling method was justified on the grounds that it enables the inclusion of only those samples that are most relevant and directly contribute to addressing the specific aims of the investigation. Findings: A powerful statistical association was identified, indicating that the Return on Assets (ROA) is largely contingent upon the interplay between a firm's Debt-to-Equity Ratio (DER) and its Total Asset Turnover (TATO). This implies that strategic financial decisions such as managing debt to enhance asset utilization and fulfill financial commitments, as indicated by DER, and maximizing revenue and profit generation from assets, as represented by TATO play a direct role in shaping ROA, which serves as a critical indicator of a firm's profitability. Research limitations/implications: Data collection was strictly confined to the 2021–2023 observation timeframe, with figures sourced entirely from property and real estate firms trading on the Indonesia Stock Exchange (IDX). As a consequence of this focus, the generalizability of the results is inherently constrained; the findings may not be reliably applied to other industrial sectors or alternative time periods. This methodological limitation stems from the acknowledged variance in financial structures, operational models, and distinct market environments that differentiate industries and change significantly across historical eras. Practical implications: The study's findings can serve as a foundation for financial decisions made by investors and business management, especially when it comes to controlling debt and actions that boost profitability. Originality/value: The findings from this investigation are anticipated to enhance academic understanding of managerial performance, particularly by detailing how Debt-to-Equity Ratio (DER) and Total Asset Turnover (TATO) exert influence on Return on Assets (ROA) specifically among property and real estate companies. Paper type: Research Paper

Alexander Sergeyevich Spirin

Input capacity of the industrial housing construction enterprise (IHCE) reflects the maximum volume of finished construction products that the enterprise is able to produce over a period of time. It is expedient to increase the input capacity of IHCE by intensification of its production. It becomes possible with a deep understanding of work of its production system (PS), and taking into account its peculiarities: firstly, due to the complexity of formulating and solving in analytical form the problem of making an optimal decision within the framework of production management, it is advisable to resort to the variant approach. This approach implies the use of various management strategies and tactics depending on the specific situation, operating conditions and objectives of the enterprise; secondly, production technologies and its material and technical base are constantly updated following the progressive development of scientific and technical progress. Consequently, there is the emergence of more and more advanced forms of organization and management of production processes, as well as changing methods of planning business processes of the enterprise; thirdly, the production system of IHCE should be analyzed systematically. The system approach to production analysis is a methodology that allows analyzing production processes as a single interconnected system rather than as a set of individual elements or operations. Growth of input capacity during intensification of IHCE production by various methods, including by increasing labour productivity, adapting the means of labour and proper adjustment of production flows, in which specialization, proportionality, parallelism, directness, continuity, rhythmicity and automation are achieved. This in turn increases the input capacity of the enterprise.

Igor Vladimirovich Kushchenko

Среди методов повышения надежности, предусматриваемых при проектировании, особое место занимает использование избыточности. Избыточность — дополнительные средства (или возможности) сверх минимально необходимых для выполнения заданной функции. Резервирование — это метод повышения надежности путем введения избыточности. Особое место, отводимое этому методу, объясняется тем, что резервирование наиболее полно позволяет решить задачу получения требуемой надежности при относительно малонадежных элементах. В зависимости от вида используемой избыточности различают следующие виды резервирования: структурное — предусматривающее использование избыточных элементов; в структуре объекта (узлов, блоков, аналогичных имеющимся); временное — предусматривающее использование избыточного времени; функциональное — предусматривающее использование способности элементов выполнять дополнительные функции; информационное — предусматривающее использование способности к восприятию дополнительной информации, поступающей на объект; нагрузочное — предусматривающее использование способности к восприятию дополнительной нагрузки. Одним из основных способов повышения надежности систем является структурное резервирование, которое предусматривает включение в состав системы дополнительных объектов. Структурное резервирование различается по ряду признаков: резерв включен постоянно или резервный элемент включается по мере необходимости (резервирование замещением, ненагруженный резерв); индивидуальное или групповое резервирование; переход на резервный элемент происходит мгновенно или требуется конечное время на переключение; система контроля работоспособности и управления резервом абсолютно надежна или имеет конечную надежность и т.д. Многообразие видов резервирования привело к созданию десятков различных моделей, учитывающих конкретную специфику систем.

Mustapha Zakari, Kurbom Tieru Chris, Boahene Akomah Benjamin et al.

Building accidents and fatalities are prevalent, especially in rising nations like Ghana, despite rapid technical developments. Weak regulations, training, and change resistance typically undermine traditional safety measures. This study aimed to identify potential obstacles that prevent the implementation of artificial intelligence (AI) in construction health and safety in Ghana. A survey research approach was employed to get the study population, which consisted of 110 construction experts made up of project managers, site engineers, skilled workers, and safety officers complete the questionnaire. Data analysis included descriptive statistics, chi-square, and regression. According to varied demographic responses, AI increases design and engineering, safety and security, and human resources efficiency, decision-making, and safety. Lack of innovation culture, training, and regulation harms health and safety. Using AI promises to overcome these hurdles by minimising risks, improving worker well-being, and safe work environment. The Ghanaian industry study focus and small sample size may prejudice, as the limitations of the study. Samples must be larger and more diversified to generalise. The practical implication is that Ghanaian builders may use the study’s findings. Understanding AI’s potential and limitations helps them develop AI solutions and problem-solving methodologies. Safety, cost, and worker well-being can improve. The successful integration of AI in construction health and safety can affect society. AI can reduce workplace accidents and improve productivity, well-being, and healthcare costs. This work adds to the growing body of knowledge on AI’s building safety applications in emerging economies like Ghana. It identifies environmental restrictions and enables governments, industry leaders, and researchers to develop and implement AI solutions.

Xiao Shuoting, Nikita Igorevich Fomin, Liu Chong

Современное строительство все чаще обращается к сборным технологиям, стремясь повысить эффективность и экологическую устойчивость проектов. Особенно в Китае, где данное направление показывает впечатляющие темпы развития, сборное строительство становится ключевым элементом стратегии устойчивого развития городской инфраструктуры. Цель данного исследования заключается в анализе типов строительных конструкций и соединений, широко используемых в сборном строительстве в Китае, с акцентом на их эффективность, стоимость, влияние на окружающую среду и устойчивость. Методология включает в себя библио­метрический анализ научной литературы и статистических данных, охватывающих последние годы, для выявления ключевых трендов и направлений развития в данной области. Основные результаты показывают, что Китай занимает лидирующие позиции в исследованиях и применении сборных технологий, особенно в области железобетонных и стальных конструкций. Различные типы сборных конструкций и методы соединений анализируются с точки зрения их применения и эффективности. На основе анализа определены основные проблемы и перспективы дальнейшего развития сборного строительства, включая необходимость стандартизации и улучшения качества соединительных элементов. Исследование подчеркивает значительный потенциал сборного строительства для содействия устойчивому развитию и эффективному использованию ресурсов в строительной отрасли.

Liu Chong, Nikita Igorevich Fomin, Xiao Shuoting

В данной работе представлен подробный организационно-технологический анализ ускоренных процессов строительства гражданских многоэтажных зданий в Китае с акцентом на использование технологий предварительного изготовления для решения задач стремительной урбанизации и растущего спроса на жилье. Исследование выявляет ключевые организационные и технологические инновации с помощью сравнительного анализа и статистической обработки данных. Эти инновации значительно сокращают сроки строительства, обеспечивая при этом строгие стандарты безопасности и высокого качества. В работе подчеркивается важность стратегического улучшения управленческих процессов, внедрения современных технологий и материалов, а также укрепления координации между участниками проектов. Это позволяет значительно повысить эффективность и скорость реализации проектов строительства высотных зданий. Особое внимание уделено предварительно армированным бетонным каркасным конструкциям, которые существенно сокращают время строительства на месте и трудозатраты, предлагая жизнеспособное решение для удовлетворения неотложных жилищных потребностей в условиях стремительно растущих городских районов. Дополнительно предлагается система оценки факторов влияния на предварительно изготовленные конструкции, основанная на методе аналитической иерархии (AHP). Эта система позволяет проводить приоритизацию факторов и принимать более обоснованные управленческие решения. Данный интегрированный подход не только решает практические задачи ускоренного строительства, но и вносит вклад в теоретическую базу гражданского строительства. Исследование предоставляет практические рекомендации, которые могут быть применимы в аналогичных условиях развития городов в глобальном масштабе. Результаты работы призваны повлиять на будущие строительные практики, способствуя формированию устойчивых и эффективных стратегий для решения актуальных вызовов урбанизации.

Björn Lellmann, Philipp Marek, Markus Triska

We describe the methods and technologies underlying the application Grants4Companies. The application uses a logic-based expert system to display a list of business grants suitable for the logged-in business. To evaluate suitability of the grants, formal representations of their conditions are evaluated against properties of the business, taken from the registers of the Austrian public administration. The logical language for the representations of the grant conditions is based on S-expressions. We further describe a Proof of Concept implementation of reasoning over the formalised grant conditions. The proof of concept is implemented in Common Lisp and interfaces with a reasoning engine implemented in Scryer Prolog. The application has recently gone live and is provided as part of the Business Service Portal by the Austrian Federal Ministry of Finance.

Valentin Haag, Maximilian Kiessler, Benedikt Pittl et al.

Cloud resources have become increasingly important, with many businesses using cloud solutions to supplement or outright replace their existing IT infrastructure. However, as there is a plethora of providers with varying products, services, and markets, it has become increasingly more challenging to keep track of the best solutions for each application. Cloud service intermediaries aim to alleviate this problem by offering services that help users meet their requirements. This paper aims to lay the groundwork for developing a cloud portfolio management platform and its business model, defined via a business model canvas. Furthermore, a prototype of a platform is developed offering a cloud portfolio optimization service, using two algorithms developed in previous research to create suitable and well-utilized allocations for a customer's applications.

Sanchaniya Rashmi, Somrajan Nithya, Geipele Ineta

Natural disasters occur often around the globe and result in significant loss of life and property. Over the last two decades, there has been a remarkable rise in extreme weather events that have the potential to wreak devastation on the planet. Frequently, disaster-affected regions needed to enhance their capacity for rebuilding, requiring more experienced and competent personnel to oversee the projects. Post-disaster reconstruction (PDR) is a complicated and difficult procedure requiring a variety of distinct and well-coordinated actions. The purpose of this research is to examine the effect of disasters, analyse the problems associated with post-disaster housing reconstruction projects in India, and provide potential solutions. A standardised questionnaire was used to gather data from a purposeful sample as part of a quantitative methodology. The analysed data reveal that institutional procedures, rebuilding techniques, project execution, and stakeholder management all contribute to the effective implementation of post-disaster home reconstruction projects.

Mohit Singhal, Javier Pacheco, Seyyed Mohammad Sadegh Moosavi Khorzooghi et al.

Auditing is critical to ensuring the fairness and reliability of decision-making systems. However, auditing a black-box system for bias can be challenging due to the lack of transparency in the model's internal workings. In many web applications, such as Yelp, it is challenging, if not impossible, to manipulate their inputs systematically to identify bias in the output. Yelp connects users and businesses, where users identify new businesses and simultaneously express their experiences through reviews. Yelp recommendation software moderates user-provided content by categorizing it into recommended and not-recommended sections. The recommended reviews, among other attributes, are used by Yelp's ranking algorithm to rank businesses in a neighborhood. Due to Yelp's substantial popularity and its high impact on local businesses' success, understanding the bias of its algorithms is crucial. This data-driven study, for the first time, investigates the bias of Yelp's business ranking and review recommendation system. We examine three hypotheses to assess if Yelp's recommendation software shows bias against reviews of less established users with fewer friends and reviews and if Yelp's business ranking algorithm shows bias against restaurants located in specific neighborhoods, particularly in hotspot regions, with specific demographic compositions. Our findings show that reviews of less-established users are disproportionately categorized as not-recommended. We also find a positive association between restaurants' location in hotspot regions and their average exposure. Furthermore, we observed some cases of severe disparity bias in cities where the hotspots are in neighborhoods with less demographic diversity or higher affluence and education levels.

Santosh Palaskar, Vijay Ekambaram, Arindam Jati et al.

The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multivariate time series data. Forecasting Biz-KPIs in advance can enhance efficiency and revenue through proactive corrective measures. However, BizITObs data generally exhibit both useful and noisy inter-channel interactions between Biz-KPIs and IT events that need to be effectively decoupled. This leads to suboptimal forecasting performance when existing multivariate forecasting models are employed. To address this, we introduce AutoMixer, a time-series Foundation Model (FM) approach, grounded on the novel technique of channel-compressed pretrain and finetune workflows. AutoMixer leverages an AutoEncoder for channel-compressed pretraining and integrates it with the advanced TSMixer model for multivariate time series forecasting. This fusion greatly enhances the potency of TSMixer for accurate forecasts and also generalizes well across several downstream tasks. Through detailed experiments and dashboard analytics, we show AutoMixer's capability to consistently improve the Biz-KPI's forecasting accuracy (by 11-15\%) which directly translates to actionable business insights.

Bhaso Ndzendze

This paper investigates whether foreign investment (FDI) into Africa is at least partially responsive to World Bank-measured market friendliness. Specifically, I conducted analyses of four countries between 2009 and 2017, using cases that represent two of the highest scorers on the bank's Doing Business index as of 2008 (Mauritius and South Africa) and the two lowest scorers (DRC and CAR), and subsequently traced all four for growths or declines in FDI in relation to their scores in the index. The findings show that there is a moderate association between decreased costs of starting a business and growth of FDI. Mauritius, South Africa and the DRC reduced their total cost of starting a business by 71.7%, 143.7% and 122.9% for the entire period, and saw inward FDI increases of 167.6%, 79.8% and 152.21%, respectively. The CAR increased the cost of starting businesses but still saw increases in FDI. However, the country also saw the least amount of growth in FDI at only 13.3%.

Phuc Nguyen, Nam Tuan Ly, Hideaki Takeda et al.

Table answering questions from business documents has many challenges that require understanding tabular structures, cross-document referencing, and additional numeric computations beyond simple search queries. This paper introduces a novel pipeline, named TabIQA, to answer questions about business document images. TabIQA combines state-of-the-art deep learning techniques 1) to extract table content and structural information from images and 2) to answer various questions related to numerical data, text-based information, and complex queries from structured tables. The evaluation results on VQAonBD 2023 dataset demonstrate the effectiveness of TabIQA in achieving promising performance in answering table-related questions. The TabIQA repository is available at https://github.com/phucty/itabqa.

Hung-Chung Chang, Chun-Chang Lee, Wen-Chih Yeh et al.

This study proposed and examined a conceptual framework on the influence of real estate brokers’ personalities, psychological empowerment, social capital, and knowledge sharing on their innovation performance, and used moral hazard as a moderating variable. We used structural equation modeling (SEM) for data analysis and estimation. The participants were real estate brokers in Kaohsiung City. A total of 1,000 questionnaires were administered to 100 branch offices of real estate companies, 571 of which were later recovered from 80 branch offices. After removing 52 for being invalid, we were left with 519 valid questionnaires, indicating a 51.9% recovery rate. The empirical results suggest that the real estate brokers’ personalities and psychological empowerment positively and significantly influence social capital; personality and psychological empowerment also positively and significantly influence their innovation performance; and social capital significantly influences knowledge sharing, which in turn positively and significantly influences the brokers’ innovation performance. In environments with higher levels of moral hazard, the influence of social capital on the brokers’ knowledge sharing is significantly diminished.

Maria Istela Cagnin, Elisa Yumi Nakagawa

In the era of joint ventures (JV) and mergers & acquisitions (M&A), dynamic and large business processes can emerge to achieve broader business goals and are often formed from business processes of distinct organizations. Software systems of such distinct organizations should support these larger processes and, for this, they need to communicate among them forming the so called Systems-of-Systems (SoS). However, the management of these larger processes and the correspondent SoS has been currently a complicated challenge for the alliances of organizations. In this scenario, the main contribution of this paper is to discover what has been proposed in the literature to manage these processes. We analyzed possibly all existing approaches and the findings point out that many of them cannot provide understanding of the whole large processes and, more importantly, they do not address completely the SoS inherent characteristics. We also highlight the next research directions to make possible the management of these dynamic, complex, interconnected business processes that have increasingly crossed several critical domains.

Fabian Schueler, Dimitri Petrik

Business economics research on digital platforms often overlooks existing knowledge from other fields of research leading to conceptual ambiguity and inconsistent findings. To reduce these restrictions and foster the utilization of the extensive body of literature, we apply a mixed methods design to summarize the key findings of scientific platform research. Our bibliometric analysis identifies 14 platform-related research fields. Conducting a systematic qualitative content analysis, we identify three primary research objectives related to platform ecosystems: (1) general literature defining and unifying research on platforms; (2) exploitation of platform and ecosystem strategies; (3) improvement of platforms and ecosystems. Finally, we discuss the identified insights from a business economics perspective and present promising future research directions that could enhance business economics and management research on digital platforms and platform ecosystems.