Hasil untuk "Real estate business"

Maurizio Francesco Errigo , Emanuele Aronne

The contribution, prepared as part of the Prin PNRR 2022 activities presents reflections arising from research and experimentation on the topic of cultural accessibility, with particular reference to accessibility for public services such as museums, galleries, and exhibition spaces. The project’s goal is to enable full accessibility of spaces through physical, but above all sensorial, and cognitive design, paying particular attention to users with various forms of disabilities, including temporary ones. It was born in response to a call for proposals from the Ministry of Culture. The creation of the Permanent Accessibility Laboratory (LAP) is innovative, a three-year educational program aimed primarily at schools in the city of Viterbo but also at non-profit organizations. This project has led to other design and research experiences involving public and private resources. On the topic of accessibility, the «Accessible Neighborhoods» project was linked to the partnership signed with the Hotel Salus Terme and the Viterbo Tennis Club. This partnership included the definition of a third-party agreement under which the PDTA Department will develop urban planning scenarios for the management, enhancement, and increased accessibility of sports, hotel, and spa services in the affected urban area, as well as design testing. Another aspect of the project is the Agreement with the Municipality of La Maddalena in Sardinia, which will lead to the organization of a design workshop for the enhancement of the Padule park area and the Novelli Tennis Club, with full convergence of aims between the local authority and the university.

Fabian Walke, Veronika Föller

This study investigates generative artificial intelligence (GenAI) usage of university students who study alongside their professional career. Previous literature has paid little attention to part-time students and the intersectional use of GenAI between education and business. This study examines with a grounded theory approach the characteristics of GenAI usage of part-time students. Eleven students from a distance learning university were interviewed. Three causal and four intervening conditions, as well as strategies were identified, to influence the use of GenAI. The study highlights both the potential and challenges of GenAI usage in education and business. While GenAI can significantly enhance productivity and learning outcomes, concerns about ethical implications, reliability, and the risk of academic misconduct persist. The developed grounded model offers a comprehensive understanding of GenAI usage among students, providing valuable insights for educators, policymakers, and developers of GenAI tools seeking to bridge the gap between education and business.

Paweł Gola, Haozhou Tang

We develop an analytically tractable model featuring heterogeneous workers and firms, where labor markets clear through a one-to-many sorting mechanism. Firms determine both the number and composition of their employees, shaping (1) the income distribution among workers and (2) the productivity distribution across firms. We study business cycles driven by market efficiency shocks that disproportionately benefit more productive firms. The model's implications are consistent with empirical regularities on the cyclical behavior of wage and productivity distributions.

Roman Vladimirovich Obukhov

Актуальность исследования. Исследования показывают, что особое место занимает в современной турбулентной экономике проблематика развития теории и практики моделирования конкурентностистроительных предприятий с позиций оценки и интегрального управления как его текущей, среднесрочной, так и стратегической конкурентоспособностью через концептуальный механизм динамического равновесия внутренней и внешней среды в условиях неопределенности и риска. Цель исследования. Обоснование методических подходов по обеспечению процессов оценки и управления конкурентоспособностью строительных предприятий на основе концепции динамического равновесия внутренней и внешней среды в условиях риска и неопределенности через моделирование совокупного конкурентного потенциала по ключевым факторам успеха. Методы. Использовался комплекс системно взаимосвязанных методических подходов, основанных как на теории конкурентоспособности, так и на концепции динамического равновесия экономических систем. Применялись также методы факторного и трендового анализа, математической статистики, экономико-математического моделирования и прогно­зирования, экспертных оценок, теории неопределенности и рисков, сравнения, анализа и синтеза. Результаты и новизна. В статье продемонстрированы следующие основные научные результаты с элементами научной новизны: уточнение понятийной категории «конкурентоспособность» с определением комплекса системных принципов по моделированию и ситуационной оценке конкурентоспособности с использованием индикативной секторо­граммы; смоделирована концепция динамического равновесия конкурентоспособности для строительного предприятий по направлениям управления производительностью и стоимостью с разработкой понятийной категории «неопределенность»; выполнена обобщенная классификация и анализ ключевых факторов успеха, определяющих конкурентоспособность на основе структуризации локальных потенциалов инвестиционного, организационно-производственного и финансово-экономического типа;разработан методический подход по определению расчетных индикаторов конкурентоспособности предприятий; установлены основные закономерности изменения ключевых факторов управления конкурентоспособностью на операционном, тактическом и стратегическом уровнях управления на примере конкурентного профиля ООО «Тоннель-2001».

Jad Mansour, Sebastian Realpe, Hayat Rajani et al.

Event-based cameras (EBCs) are poised to transform underwater robotics, yet the absence of labelled event-based datasets for underwater environments severely limits progress in tasks such as visual odometry and obstacle avoidance. Real-world event-based optical flow datasets are scarce, resource-intensive to collect, and lack diversity, while no prior benchmarks target underwater applications. To bridge this gap, we introduce eStonefish-Scenes, a synthetic event-based optical flow dataset generated using the Stonefish simulator, together with an open data generation pipeline for creating customizable underwater environments featuring realistic coral reefs and biologically inspired schools of fish with reactive navigation behaviours. We also present eWiz, a comprehensive library for event-based data processing, encompassing data loading, augmentation, visualization, encoding, training utilities, loss functions, and evaluation metrics. To validate sim-to-real transferability, we collected real-world data using a DAVIS346 hybrid event-and-frame camera mounted on a BlueROV2 in an indoor testing pool. Ground-truth optical flow was derived via homography-based frame-to-poster registration, and per-pixel uncertainty was estimated through Monte Carlo perturbation of keypoint correspondences. This uncertainty was incorporated into the evaluation metrics, enabling reliability-aware performance assessment. A ConvGRU-based optical flow network, trained exclusively on synthetic eStonefish-Scenes data, was evaluated on the real-world sequences without fine-tuning, achieving an uncertainty-weighted average endpoint error of 0.79 pixels. These results demonstrate that the proposed synthetic dataset effectively supports sim-to-real transfer for underwater event-based optical flow estimation, substantially reducing the need for costly real-world data collection.

Eliott Thomas, Mickael Coustaty, Aurelie Joseph et al.

Automating table extraction (TE) from business documents is critical for industrial workflows but remains challenging due to sparse annotations and error-prone multi-stage pipelines. While semi-supervised learning (SSL) can leverage unlabeled data, existing methods rely on confidence scores that poorly reflect extraction quality. We propose QUEST, a Quality-aware Semi-supervised Table extraction framework designed for business documents. QUEST introduces a novel quality assessment model that evaluates structural and contextual features of extracted tables, trained to predict F1 scores instead of relying on confidence metrics. This quality-aware approach guides pseudo-label selection during iterative SSL training, while diversity measures (DPP, Vendi score, IntDiv) mitigate confirmation bias. Experiments on a proprietary business dataset (1000 annotated + 10000 unannotated documents) show QUEST improves F1 from 64% to 74% and reduces empty predictions by 45% (from 12% to 6.5%). On the DocILE benchmark (600 annotated + 20000 unannotated documents), QUEST achieves a 50% F1 score (up from 42%) and reduces empty predictions by 19% (from 27% to 22%). The framework's interpretable quality assessments and robustness to annotation scarcity make it particularly suited for business documents, where structural consistency and data completeness are paramount.

Matsuo Kazushi, Tsutsumi Morito, Imazeki Toyokazu et al.

With the rapid spread of telecommuting since the COVID-19 pandemic, companies have been relocating to high-end business centers, thereby enhancing the workplace experience for employees, a phenomenon called the "flight to quality." However, this trend’s impact on rents and vacancy rates in individual office buildings has not been extensively studied. To determine the effects of the flight-to-quality phenomenon on individual buildings, we examine the impact of modern amenities, which directly influence employee lifestyles, on rents and vacancy rates in the Tokyo office market. Using a propensity score-based quasi-experimental method, we find that commercial properties with such modern amenities command higher rents and experience lower vacancy rates than those without. The difference in vacancy rates has increased since 2020. However, the significance of these amenities diminishes for properties less competitive in age, size, and location. The results indicate that the "flight to quality" may further polarize the office real estate market into two categories: one for high-end buildings experiencing increasing demand, and another for those with modest amenities experiencing decreasing demand. The findings have implications for office building owners/investors and the government, make educated decisions as to whether to invest in modern amenities, join the quality competition, or encourage urban restructuring.

Aline Ioste

Large Language Models with transformer architecture have revolutionized the domain of text generation, setting unprecedented benchmarks. Despite their impressive capabilities, LLMs have been criticized for generating outcomes that deviate from factual accuracy or display logical inconsistencies, phenomena commonly referred to as hallucinations. This term, however, has often been misapplied to any results deviating from the instructor's expectations, which this paper defines as attention misdirection rather than true hallucinations. Understanding the distinction between hallucinations and attention misdirection becomes increasingly relevant in business contexts, where the ramifications of such errors can significantly impact the value extraction from these inherently pre-trained models. This paper highlights the best practices of the PGI, Persona, Grouping, and Intelligence, method, a strategic framework that achieved a remarkable error rate of only 3,15 percent across 4,000 responses generated by GPT in response to a real business challenge. It emphasizes that by equipping experimentation with knowledge, businesses can unlock opportunities for innovation through the use of these natively pre-trained models. This reinforces the notion that strategic application grounded in a skilled team can maximize the benefits of emergent technologies such as the LLMs.

Tatiana Yurievna Ovsiannikova

В статье рассматриваются проблемы комплексной реновации жилой застройки в регионах Российской Федерации, которые, несмотря на реализацию национального проекта и государственных программ, не теряют своей актуальности. В силу неоднородности социально-экономического пространства России, прежде всего, сложившихся территориальных диспропорций в распределении жилищных инвестиций, различий в структуре существующего жилищного фонда возможности регионов в решении проблемы реновации жилой застройки разные. На основе данных Фонда содействия реформированию ЖКХ (ныне — Фонд развития территорий) выполнен анализ результатов выполнения региональных программ переселения граждан из аварийного жилья на примере регионов Сибирского федерального округа. Выявлены основные факторы, выступающие организационно-финансовыми ограничениями в реализации программ ликвидации аварийного жилья. Показано, что существующие организационно-финансовые механизмы, основанные на региональных программах капитального ремонта общего имущества многоквартирных домов и федеральном проекте ликвидации непригодного для проживания жилья, не обеспечивают комплексной реновации жилищного фонда и развития застроенных территорий. Реализация проектов выборочного капитального ремонта и точечного сноса аварийных зданий не решает проблемы качественного улучшения жилой застройки, поскольку даже расселенные аварийные дома остаются в структуре жилой застройки из-за низкого градостроительного потенциала освобождаемых земельных участков. Показано, что новый механизм комплексного развития территорий, несмотря на созданную нормативно-правовую базу и институциональное обеспечение, в настоящее время не получил должного развития, поскольку также существует ряд организационно-финансовых ограничений. Основными ограничениями являются неразработанность региональной нормативно-правовой базы, отсутствие региональных институтов и низкая маржинальность проектов реновации существующей жилой застройки, что делает такие проекты инвестиционно непривлекательными для потенциальных инвесторов. Это свидетельствует о необходимости развития региональных механизмов комплексной реновации городской застройки и интеграции финансовых ресурсов всех стейкхолдеров проектов реновации.

Yaşar Reha Z., Bulut Erdem

Turkey is one of those countries where housing market has been most severely affected by COVID-19 pandemic. Today the effects of the outbreak have been eliminated significantly. This study retrospectively looks at the days when the world faced a widespread outbreak of a pandemic and investigates the effect of the pandemic and the changes in consumer confidence on housing prices and the volatility of housing prices. Considering the structural breaks in the analysis period (2010:q1-2022:q4 quarterly), we used the Lee and Strazicich structural break unit root test as a research method. The results show that an increase in costs due to a break in the supply chain and containment measures forcing the workforce to stay at home affected the housing supply adversely. It is observable that expansionary economic policies and social assistance programs have a positive effect on housing demand. In this regard, negative supply shock and positive demand pressure are seen to be the determinants of the recent housing price increases in Turkey. However, while there is a positive relationship between consumer confidence and house prices, the effect of house prices on the volatility is statistically insignificant.

Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido

Business Process Management Systems (BPMS) represent a technology that automates business processes, connecting users to their tasks. There are many business processes within the port activity that can be improved through the use of more efficient technologies and BPMS in particular, which can help to coordinate and automate critical processes such as cargo manifests, customs declaration the management of scales, or dangerous goods, traditionally supported by EDI technologies. These technologies could be integrated with BPMS, modernizing port logistics management. The aim of this work is to demonstrate, through a systematic analysis of the literature, the state of the art in BPMS research in the port industry. For this, a systematic review of the literature of the last ten years was carried out. The works generated by the search were subsequently analysed and filtered. After the investigation, it is discovered that the relationship between BPMS and the port sector is practically non-existent which represents an important gap to be covered and a future line of research.

Lukas Böhme, Tobias Wuttke, Ralf Teusner et al.

Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.

Nina Evgenievna Simionova, Radomir Yurievich Simionov

Рыночную капитализацию компании следует рассматривать как стратегический показатель экономического роста. Оценка рыночной капитализации предприятия предусматривает применение трех стандартных подходов, включая затратный подход на основе оценки активов и обязательств. Применение в процессе оценки метода чистых активов предусматривает корректировку балансовых показателей, активы и обязательства получают рыночные оценки. Скорректированные чистые активы способны отражать инвестиционную привлекательность компаний, имеющих значительные объемы незавершенного производства, существенные колебания показателей доходности, что в полной мере относится к строительной сфере. Дебиторская и кредиторская задолженности являются частью денежных отношений предприятия, имеют специфику обращения, что предопределяет методические проблемы их рыночной оценки. В данной статье исследованы возможные подходы к корректировке балансовой стоимости дебиторской и кредиторской задолженности, предложены корректирующие факторы, среди которых временной период погашения долга, финансовые возможности предприятия. Предложены подходы к формированию ставки дисконта для учета фактора времени. Предложена система показателей для оценки финансового состояния должника, методика корректировки просроченной задолженности.

Gnat Sebastian

Real estate market analysis can involve many aspects. One of them is the study of the influence of various factors on prices and property values. For this type of issues, different kinds of measures and statistical models are often used. Many of them do not give unambiguous results. One of the reasons for this is the fact that the real estate market is characterized by the concept of local markets, which may be affected in different ways by economic, social, technical, environmental and other factors. Incorporating the influence of local markets, otherwise known as submarkets, into models often helps improve the precision of mass real estate valuation results. The delineation of submarket boundaries can be done in several different ways. One tool that is helpful in these types of situations are geographically weighted regression (GWR) models. The problem that may arise when using such models is related to the nature of some market factors, which may be of a qualitative nature. Because neighborhoods of individual properties may lack variability in terms of some variables, estimating GWR models is significantly difficult or impossible.

Xue Jiang, Shengyang Zhong, Farzana Munir et al.

The goal of this study is to examine the impact of household income and air pollution on the health of developing-country residents. The panel dataset of twelve developing nations used for this purpose. High levels of fine particulate matter in the air are linked to increased health problems, and lower incomes for households in the economies studied. However, effective environmental management and renewable energy resources have a significant role in controlling the harmful impact of fine particulate matter in the air. It highlights that developing economies could lower the fine particulate matter in the air by strengthening the regional environmental policies and adopting renewable resources. In emerging countries, environmentally friendly strategies and the shift from carbon base to non-carbon-based energy would minimize pollution in the atmosphere and improve the quality of life for inhabitants and other organisms. Improved quality of life and lower levels of fine particulate matter pollution are expected to increase people’s per capita income in the region. Finally, air pollution is a transboundary phenomenon; therefore, strict compliance with environmental protection policies at the regional level is a prerequisite for improved quality of the natural environment.

E. V. Aldukhova

The business strategy, the underwriting policy, the investment strategy of insurance companies and some external factors influence their ability to meet liabilities. The risk management mechanism, based on regulatory requirements and the best expertise, should allow to identify and assess all significant risks, including the market risk. The purpose of this research is comparing the European and Russian regulatory requirements for capital calculation for market risks of insurance companies. The methodological base is the comparison analysis of different capital calculation approaches for interest rate, FX, real estate and equity risks in accordance with Solvency II for the European insurers or Regulation 710-P for the Russian insurers. As a result, the author has found the compatibility of regulations to vary depending on the type of the risk in question. Regulations diverge the least when it comes to FX and real estate risks, yet the most in regards to interest rate and equity risks since the Central Bank of Russia has accounted for some national market peculiarities. Overall, the research results have a practical value and could be used by the Russian insurers in transition to the riskoriented regulation.

Dickson D. Chinguwo, Dorothea Deus

One of the major natural hazards the world is facing these days are floods. Malawi has not been spared. Floods have affected the countries’ socio-economic developmental plans. River gauges have been installed along major rivers to monitor water levels in a bid to warn communities of imminent flooding. In Malawi, ever since the installation of river gauges no study has been done to assess their effectiveness. This study examines the effectiveness of these river gauges as part of community-based early warning system. The research employs both qualitative and quantitative approach. Questionnaires, interviews, group discussions, document analysis were all used in order to understand the behavioural aspect of communities under study. The current community-based early warning system practices were benchmarked against the following elements: risk knowledge, technical monitoring and warning services, dissemination and communication of warnings and response capability. The study revealed that Malawi has two distinct systems in place: at national level (managed by several government departments) and at community level [managed by Civil Protection Committees (CPCs)]. These systems were installed by non-governmental organisations (NGOs) and faith-based organisations. Apparently, no direct link exists between the two. Operational bureaucracy affects the speedy presentation of warning messages at national level. Lack of capacity and necessities affects the operation of the community-based system. Despite the efforts to develop the early warning systems, the failures outweigh the successes. Government needs to provide enough funding for systems sustainability, build capacity of CPCs and install more technologically advanced systems.

Patrick Mellacher

I develop a simple Schumpeterian agent-based model where the entry and exit of firms, their productivity and markup, the birth of new industries and the social structure of the population are endogenous and use it to study the causes of rising inequality and "declining business dynamism" since the 1980s. My hybrid model combines features of i) the so-called Schumpeter Mark I (centering around the entrepreneur), ii) the Mark II model (emphasizing the innovative capacities of firms), and iii) Cournot competition, with firms using OLS learning to estimate the market environment and the behavior of their competitors. A scenario which is quantitatively calibrated to US data on growth and inequality replicates a large number of stylized facts regarding the industry life-cycle, growth, inequality and all ten stylized facts on "declining business dynamism" proposed by Akcigit and Ates (AEJ:Macro, 2021). Counterfactual simulations show that antitrust policy is highly effective at combatting inequality and increasing business dynamism and growth, but is subject to a conflict of interest between workers and firm owners, as GDP and wages grow at the expense of profits. Technological factors, on the other hand, are much less effective in combatting declining business dynamism in my model.

Akomah Benjamin Boahene, Ahinaquah Laud Kwamina, Mustapha Zakari

Skilled labour shortage is the shortfall of workforce in specific trades or shortage of workforce with requisite skills. The paper seeks to identify areas where there are skilled labour shortages in the building construction industry within the Central Region. A survey research approach was employed to get the study population that consisted of project managers, site engineers, site foremen and engineers working with contactors. Questionnaires were designed based on the research specific objectives and used as the main instrument for data collection. Findings from the study revealed that the shortage of skilled manpower was from painters and decorators, electricians and tile workers. Further findings showed that skilled labour shortage was caused by socio–economic conditions, external forces, job attractiveness, job characteristics, job satisfaction, industry limitations and personal factors. Employees should be encouraged to develop their trade competences and change their attitude to work, while employers should build their manpower base through training.

W. M. Jayantha, O. Oladinrin

Purpose Many organizations in Hong Kong have witnessed a reduction in average space usage due to high occupancy costs. New working practices (NWPs) are viewed as a reform tool to manage expensive real estate around the world. However, it is unclear whether NWPs influence office space usage in business organizations in Hong Kong. This study, therefore, aims to evaluate if the average space reduction in office firms is caused by the NWPs in the finance, insurance, real estate and business (FIREB) firms. Design/methodology/approach A total of 20 NWPs were initially derived from the extant literature. A questionnaire survey was conducted with listed FIREB firms in Hong Kong to assess the impact of the identified NWPs on space usage. The data collected from the questionnaire survey were analysed using descriptive, explorative factor analysis (EFA) and partial least squares-structural equation modelling (PLS-SEM) to evaluate the effects of NWPs on average space usage. Findings Results revealed that four major NWP factors influence average space usage. Three of these factors, namely, “flexible arrangement”, “multitasking knowledge workers” and “teamwork and communication”, influence space usage positively. Even though the effect of the fourth factor “training and networking” was significant, it does not reflect a positive influence on space usage. Business organizations can focus more on the implementation of NWPs to cushion the effects of the high cost of occupancy. Originality/value The research provides new knowledge to the limited literature on the effect of NWPs in FIREB firms and enriches the growing body of international literature on how today’s competitive global business organizations should revisit their workplace strategies to accommodate the rising agile workforce and NWPs. The findings offer new insights into the ongoing debate on the impact of information and communication technology-enabled NWPs on space usage. From the real estate perspective, the findings should inform policymaking towards the better planning ahead of office properties to accommodate NWPs, helping Hong Kong to remain competitive as a key financial centre.