Hasil untuk "Real estate business"

Valentina Maria Sessa

Public-private partnerships are now considered one of the tools that can help address both the lack of resources and the planning, management, and operational difficulties faced by public administrations. The relevant regulatory framework has undergone significant changes over the last 20 years and currently includes various types of partnerships, one of which is specifically aimed at ensuring the enjoyment of cultural heritage and promoting scientific research applied to its protection or enhancement. The reference legislation provides for the activation by the State, regions, and local authorities of forms defined as ‘special’ partnerships with public bodies and organizations and with private entities, aimed at enabling the recovery, restoration, scheduled maintenance, management, opening to public use, and enhancement of cultural heritage, but leaves the specific regulations governing them unspecified. This vagueness has discouraged the use of this tool, which nevertheless seems to have undoubted potential. Recently, the Ministry of Culture has issued guidelines for the application of the institution, but these do not seem to resolve many of the application problems that have been reported. For these reasons, this work attempts to reconstruct the general regulatory framework for partnerships in which this particular type of partnership fits, with the aim of reconstructing its possible legal regime and thereby encourage greater application.

Elena Fregonara, Chiara Senatore, Cristina Coscia et al.

The paper contributes to the debate on the holistic sustainability assessment of real estate projects, integrating economic, financial, environmental, and social aspects. A methodological study is presented to support decision-making processes involving the preferability ranking of alternative investment scenarios: new building production vs. retrofitting the existing stock, in the context of urban transformation interventions. The study integrates life cycle approaches by introducing the social components besides the economic and environmental ones. Firstly, a composite unidimensional (monetary) indicator calculation is illustrated. The sustainability components are internalized in the NPV calculation through a Discounted Cash-Flow Analysis (DCFA). Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) are suggested to assess the economic and environmental impacts, and the Social Return on Investment (SROI) to assess the intervention’s extra-financial value. Secondly, a methodology based on multicriteria techniques is proposed. The Hierarchical Analytical Process (AHP) model is suggested to harmonize various performance indicators. Focus is placed on the criticalities emerging in both the methodological approaches, while highlighting the relevance of multidimensional approaches in decision-making processes and for supporting urban policies and urban resilience.

Viktoriia Denisovna Khromykh, Irina Yuryevna Chubarkina

В статье рассмотрены вопросы экологической ситуации в стране и реализация концепции экономики замкнутого цикла в сфере строительства. Акцентируется внимание на устойчивом использовании ресурсов, минимизации отходов и использовании вторичных материалов. Представлены основные виды и объемы мировых отходов, оказывающие максимальное влияние на экологию, и отмечено, что по количеству годовых объемов лидирующую позицию занимает сфера строительства, что доказывает актуальность данного исследования. Экономика замкнутого цикла помогает переосмыслить существующие подходы к проектированию, строительству и эксплуатации объектов недвижимости. В статье представлены ключевые аспекты подхода к формированию экономики замкнутого цикла на различных стадиях реализации инвестиционно-строительного проекта, таких как планирование и проектирование, подготовка к строительству, строительство, эксплуатация и окончание жизненного цикла. Особое внимание уделяется использованию перерабатываемых и экологически чистых материалов, а также применению технологий, благодаря которым становится возможным повторное использование строительных отходов. Также в статье рассматриваются примеры успешных практик и инновационных подходов, применяемых в российских и между­народных проектах, направленных на повышение устойчивости и снижение экологической нагрузки. Рассмотрены такие примеры реализации проектов экономики замкнутого цикла в России, как экопромпарки, включающие новый подход в реализации обротки и утилизации мусора. Подчеркиваются проблемы, с которыми сталкивается строительная отрасль при реализации, основными из которых можно отметить: недостаток правовой базы, создание льготных программ для стимулирования и необходимость повышения квалификации кадров. В заключении отмечается важность программы экономики замкнутого цикла и эффективность ее реализации.

Yilong Lai, Yipin Yang, Jialong Wu et al.

Recent years have witnessed the rapid development of LLM-based agents, which shed light on using language agents to solve complex real-world problems. A prominent application lies in business agents, which interact with databases and internal knowledge bases via tool calls to fulfill diverse user requirements. However, this domain is characterized by intricate data relationships and a wide range of heterogeneous tasks, from statistical data queries to knowledge-based question-answering. To address these challenges, we propose CRMWeaver, a novel approach that enhances business agents in such complex settings. To acclimate the agentic model to intricate business environments, we employ a synthesis data generation and RL-based paradigm during training, which significantly improves the model's ability to handle complex data and varied tasks. During inference, a shared memories mechanism is introduced, prompting the agent to learn from task guidelines in similar problems, thereby further boosting its effectiveness and generalization, especially in unseen scenarios. We validate the efficacy of our approach on the CRMArena-Pro dataset, where our lightweight model achieves competitive results in both B2B and B2C business scenarios, underscoring its practical value for real-world applications.

Jasper Nie, Christian Muise, Victoria Armstrong

Business Process Model and Notation (BPMN) is a widely used standard for modelling business processes. While automated planning has been proposed as a method for simulating and reasoning about BPMN workflows, most implementations remain incomplete or limited in scope. This project builds upon prior theoretical work to develop a functional pipeline that translates BPMN 2.0 diagrams into PDDL representations suitable for planning. The system supports core BPMN constructs, including tasks, events, sequence flows, and gateways, with initial support for parallel and inclusive gateway behaviour. Using a non-deterministic planner, we demonstrate how to generate and evaluate valid execution traces. Our implementation aims to bridge the gap between theory and practical tooling, providing a foundation for further exploration of translating business processes into well-defined plans.

Ali Hassan Ali, Ahmed Farouk Kineber, Mehrdad Arashpour et al.

Construction projects are prone to accidents and injuries, necessitating a focus on implementing safety programs. However, the implementation of such programs is influenced by various factors. Developing countries often have poor safety performance in their building sectors, with limited research in this area. This study aimed to identify essential safety program activities (SPAs) specific to the building sector. Through a literature review and survey, 25 SPAs were identified and validated via a pilot survey involving building sector experts. A questionnaire survey was conducted with 105 participants from the construction industry and academia. They were then categorized into four interconnected measurements using Exploratory Factor Analysis (EFA): Safety Program Management and Development (SPMD), Safety Culture Development (SCD), Safety Risk and Hazard Management (SRHM), and Safety Leadership, Responsibility, and Commitment (SLRC). The impact of safety implementation (SI) on overall project success (OPS) was analyzed using Partial Least Square- Structural Equation Modelling (PLS-SEM). Subsequently, Synthetic Fuzzy Evaluation (SFE) was employed to determine the criticality and importance of each SPA grouping for construction projects. The PLS-SEM analysis indicates that SI has a moderate impact on OPS, with an R2 value of 45.4%. Moreover, the findings of the SFE highlight that the SLRC group is the most significant in enhancing the safety implementation of the construction industry.

Sanchaniya Rashmi Jaymin, Geipele Ineta

The primary aim of this research is to investigate the relationship between strategic sustainability and firm success within the real estate sector. Specifically, it aims to assess how strategic sustainability factors, notably business strategy and management, influence sustainability performance. By exploring this uncharted territory, the study seeks to provide insights into the role of strategic sustainability in enhancing an intangible value in terms of sustainability performance. Through quantitative data gathered from the Latvian real estate industry, the research study demonstrates that greater emphasis on business strategy efforts and activities is positively associated with improved sustainability performance. Moreover, it establishes a correlation between enhanced management practices and higher sustainability performance. Ultimately, this research contributes to our understanding of how strategic sustainability can drive the long-term sustainability and success of real estate businesses, benefitting regions, nations, and the global community.

Margarida Rodrigues, Mário Franco, Hristina Filipova et al.

Abstract This study aims to obtain a composite index characterizing Bulgarian districts about their creativity by presenting results for the pre-pandemic. The composite index developed by Rodrigues and Franco (2019), use of quantitative method and multivariate statistical techniques have been used to answer this objective. From the data gathered primarily from NSI- The National Statistical Institute of Bulgaria, the results show that creativity is one of the pillars of economic growth, and financial resources and local and foreign investment for its development are still very limited. The government and cultural organisations supported initiatives to showcase the country's cultural diversity and historical significance. The creative sector, including design, arts, media, and technology started to be seen as a driving force for the country's economic growth. Startups and creative entrepreneurs are increasingly gaining weight, which has led to the creation of creative centers, and co-working spaces. Therefore, this study contributes to the intelligent application of creative cities’ ideas in the creative industries and contemporary cities’ management.

Jiale Liu, Yifan Zeng, Malte Højmark-Bertelsen et al.

Traditional enterprises face significant challenges in processing business documents, where tasks like extracting transport references from invoices remain largely manual despite their crucial role in logistics operations. While Large Language Models offer potential automation, their direct application to specialized business domains often yields unsatisfactory results. We introduce Matrix (Memory-Augmented agent Training through Reasoning and Iterative eXploration), a novel paradigm that enables LLM agents to progressively build domain expertise through experience-driven memory refinement and iterative learning. To validate this approach, we collaborate with one of the world's largest logistics companies to create a dataset of Universal Business Language format invoice documents, focusing on the task of transport reference extraction. Experiments demonstrate that Matrix outperforms prompting a single LLM by 30.3%, vanilla LLM agent by 35.2%. We further analyze the metrics of the optimized systems and observe that the agent system requires less API calls, fewer costs and can analyze longer documents on average. Our methods establish a new approach to transform general-purpose LLMs into specialized business tools through systematic memory enhancement in document processing tasks.

Finn Klessascheck, Stephan A. Fahrenkrog-Petersen, Jan Mendling et al.

To promote sustainable business practices, and to achieve climate neutrality by 2050, the EU has developed the taxonomy of sustainable activities, which describes when exactly business practices can be considered sustainable. While the taxonomy has only been recently established, progressively more companies will have to report how much of their revenue was created via sustainably executed business processes. To help companies prepare to assess whether their business processes comply with the constraints outlined in the taxonomy, we investigate in how far these criteria can be used for conformance checking, that is, assessing in a data-driven manner, whether business process executions adhere to regulatory constraints. For this, we develop a few-shot learning pipeline to characterize the constraints of the taxonomy with the help of an LLM as to the process dimensions they relate to. We find that many constraints of the taxonomy are useable for conformance checking, particularly in the sectors of energy, manufacturing, and transport. This will aid companies in preparing to monitor regulatory compliance with the taxonomy automatically, by characterizing what kind of information they need to extract, and by providing a better understanding of sectors where such an assessment is feasible and where it is not.

Aliaksei Vertsel, Mikhail Rumiantsau

In the field of business data analysis, the ability to extract actionable insights from vast and varied datasets is essential for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while reliable, often fall short when faced with the complexity and dynamism of modern business data. Conversely, Artificial Intelligence (AI) models, particularly Large Language Models (LLMs), offer significant potential in pattern recognition and predictive analytics but can lack the precision necessary for specific business applications. This paper explores the efficacy of hybrid approaches that integrate the robustness of rule-based systems with the adaptive power of LLMs in generating actionable business insights.

Georgios Dimitroglou Rizell

We show that a two-dimensional totally real concordance can be approximated by a Lagrangian concordance whose Legendrian boundary has been stabilised both positively and negatively sufficiently many times. The main applications that we provide are constructions of knotted Lagrangian concordances in arbitrary four-dimensional symplectiations, as well as of knotted Lagrangian tori in symplectisations of overtwisted contact three-manifolds.

Djarot Hindarto, Tri Dharma Putra

Constructing a digital platform is an essential priority in an era where technology is the cornerstone of success in the real estate marketing and sales sector. Nevertheless, the advancement of these platforms is frequently impeded by obstacles pertaining to integration, security, and scalability, which stem from their inadequate establishment. Existing platforms' incapability to rapidly adapt to shifting market dynamics frequently impedes the development of innovative digital solutions for the real estate industry, which provided the impetus for this study. The fundamental objective of this study is to create a framework capable of accommodating scalable business expansion, enhancing data security, and overcoming integration obstacles. Utilizing Enterprise Architecture principles in the design and implementation of the platform, as well as conducting a comprehensive examination of the current IT infrastructure, stakeholder requirements, and mapping of pertinent business processes, will comprise the research methods. The results of this study are expected to contribute to a wholehearted comprehension of how the Enterprise Architecture approach can function as a resilient framework for the development of effective digital platforms. In the contemporary digital age, this platform is expected to furnish solutions capable of swiftly adjusting and reacting to evolving market dynamics and changes, thereby facilitating the marketing and sales requirements of real estate. Finally, this research endeavors to offer a comprehensive and practical perspective on constructing a robust and flexible digital infrastructure that can effectively cater to the demands of the real estate sector in the current era of digitalization.

Chirilus Alexandru I.

This study focuses on the real estate market in Romania and presents a forecasting model for predicting future real estate prices. The model, based on multiple linear regression, provides a comprehensive understanding of the market and enables real estate analysts to devise more efficient investment strategies. By enhancing investment efficiency, the model contributes to the overall efficiency of financial markets and supports sustained economic benefits for stakeholders. Although limited to a specific timeframe and apartment auction markets in Romania, future research can expand the model’s scope, improve accuracy through diverse data sets, and explore key factors for enhanced performance. The study’s contribution lies in its valuable insights for real estate analysts, enhancing investment efficiency, and fostering sustained economic benefits for stakeholders.

Yury Gennadievich Trukhin, Natalya Igorevna Trukhina, Gennady Borisovich Vyazov

Развитие городского жилищного фонда осуществляется в соответствии с Программой комплексного развития территорий (КРТ), где в зонах исторически сложившейся городской жилой застройки ведется новое строительство, реновация или реконструкция старых зданий. Современное жилищное строительство в процессе своего развития требует корректировки и уточнения Строительных норм и правил, регламентирующих плотную застройку центров городов, изысканий для уточнения параметров гидрогеологических условий, методов расчета конструктивной надежности и безопасности зданий, требований периодичности и инструментальной точности обследований объектов, требований по регламенту эксплуатации и правилам сноса старого и некомфортного жилья. Целью и смыслом комплексного развития территорий является удаление из сложившегося жилого фонда тех типов зданий, ремонт или реконструкция которых не обеспечат создание удобных планировочных решений и возможности реализации комфортной среды для проживания. Для реализации цели разработаны методы оценки технического состояния жилого фонда и параметры контроля для програм­много расчетного обеспечения с рекомендациями по усилению несущей части здания и финансовыми показателями стоимости необходимого комплекса работ.

Natalia Yurievna Seregina, Sergey Andreevich Serbin, Nikita Igorevich Fomin

В работе были исследованы организационные возмож­ности разрешения проблемы несоответствия сметной и фактической стоимости объектов капитального строительства за счет разделения процесса проведения государственной экспертизы на два организационных этапа: проверки проектных решений объекта капитального строительства и оценки достоверности сметной стоимости. Авторами была проведена экспертная оценка текущего количества объектов капитального строительства на основании опроса экспертной группы, в ходе которой было выявлено, что в среднем 59,5 % объектов капитального строительства в год, финансируемых из государственного и муниципального бюджета, имеют более 2 % расхождения между сметной стоимостью на этапе архитектурно-строительного проектирования и фактической стоимостью строительства. Была проведена оценка трудозатрат специалистов Министерства строительства и развития инфраструктуры Свердловской области при необходимости корректировки бюджетных программ. Была сформирована действующая схема взаимодействия участников строительного процесса, на основании которой выявлены проблемные участки, на которых происходит информационный разрыв между детализацией цифровой информационной модели, необходимой для экспертизы проектных решений и для оценки достоверности сметной стоимости объекта капитального строительства. Авторами статьи была разработана и предложена схема взаимодействия с применением технологий информационного моделирования для получения сметной стоимости объектов капитального строительства, исключающая информационный разрыв за счет разделения процесса государственной экспертизы на два этапа, и рассчитана разница временных издержек процессов обеих схем, которая составляет 51 день. Было предложено внесение корректировок в законодательство с утверждением проведения процесса экспертизы в два этапа, а также утверждение единых требований к цифровым информационным моделям для реализации предложенной схемы и внедрению технологий информационного моделирования в процесс государственной экспертизы.

Muhammad Arslan, Christophe Cruz

The world of business is constantly evolving and staying ahead of the curve requires a deep understanding of market trends and performance. This article addresses this requirement by modeling business trajectories using news articles data.

Cajetan Ihemebiri, Elochukwu Ukwandu, Lizzy Ofusori et al.

As several countries were experiencing unprecedented economic slowdowns due to the outbreak of COVID-19 pandemic in early 2020, small business enterprises started adapting to digital technologies for business transactions. However, in Africa, particularly Nigeria, COVID-19 pandemic resulted to some financial crisis that impacted negatively on the sustainability of small and medium-sized (SMEs) businesses. Thus, this study examined the role of social media on selected SMEs in Nigeria in the heat of the COVID-19 pandemic that led to several lock downs in a bid to curtail the spread of the virus. Cross-sectional survey research design was used alongside convenience population sampling techniques. The population was categorised based on selected SMEs businesses, while a quantitative research approach was adopted, and primary data were collected using a questionnaire. The questionnaires were administered to owners and operators of SMEs in Ikotun and Ikeja areas of Lagos State, Nigeria. A total of 190 questionnaires were distributed, where 183 usable responses were analysed. The findings of the study show that SMEs were aware of the usefulness of social media to their businesses as they largely leveraged it in conducting their businesses during the national lockdowns. The study recommended that labour/trade unions should sensitise and encourage business owners on the benefits of continuous use of social media in carrying out their business transactions.

Linyue Liu, Xi Guo, Chun Ouyang et al.

With the continuous development of business process management technology, the increasing business process models are usually owned by large enterprises. In large enterprises, different stakeholders may modify the same business process model. In order to better manage the changeability of processes, they adopt configurable business process models to manage process variants. However, the process variants will vary with the change in enterprise business demands. Therefore, it is necessary to explore the co-evolution of the process variants so as to effectively manage the business process family. To this end, a novel framework for co-evolution between business process variants through a configurable process model is proposed in this work. First, the mapping relationship between process variants and configurable models is standardized in this study. A series of change operations and change propagation operations between process variants and configurable models are further defined for achieving propagation. Then, an overall algorithm is proposed for achieving co-evolution of process variants. Next, a prototype is developed for managing change synchronization between process variants and configurable process models. Finally, the effectiveness and efficiency of our proposed process change propagation method are verified based on experiments on two business process datasets. The experimental results show that our approach implements the co-evolution of process variants with high accuracy and efficiency.

Madeleine Hoeft, C. Trask

This article investigates the opportunities of using digital building platforms based on Building Information Modelling (BIM) to increase occupational health and safety (OHS) in building design, construction, operation and deconstruction. The data collection followed a mixed-method approach with a systematic mapping review and focus group discussions with industry practitioners from the Swedish construction and real estate industry. Use cases were identified from both venues, as were prevailing barriers, potential facilitators, best practices and future applications. The findings highlight OHS potentials of digital building platforms for Rule-Based Checking and Design Validation, Team Building and Communication, Site Layout and Task Planning, Real-Time Monitoring, Equipment and Temporary Structures, Robotic Task Performance and Learning and Documentation. A set of principles is proposed to promote a higher degree of lifecycle and stakeholder integration: (1) technology, (2) data and information, (3) business and organization, (4) people and communication and (5) industry structure and governance aspects.