THE ECONOMIES of eastern Europe and the former Soviet Union (FSU) escaped communism with a heavy burden. When central planning collapsed, they continued to suffer from widespread political control of economic activity. Such politicization had to be reduced significantly for small business formation and growth to begin. In recent years, some of these countries have succeeded much better than others in replacing political control with functioning market institutions. As this paper shows, they are also the countries that have had the healthiest public finances, the smallest unofficial economies, and the best records of growth. The politicization of economic life can usefully be thought of as the exercise by politicians of control rights over business. ' Such rights may include regulatory powers over privatized and private firms, the ability to regulate and restrict entry, control over the use of land and real estate that private businesses occupy, the determination and collection of taxes
Denis Sergeevich Krylov, Azary Abramovich Lapidus, Anton Valerevich Satylaev
Предметом исследования является процесс проектирования типовых многоквартирных домов. Цель исследования — анализ применения модульного подхода, основанного на библиотеке типовых модулей зданий и технологиях информационного моделирования (ТИМ), в проектировании типовых многоквартирных домов.
Гипотеза исследования: создание цифровых информационных моделей типовых многоквартирных домов с применением модульного подхода и библиотеки ТИМ-компонентов снижает стоимость, повышает качество и сокращает сроки выполнения проектных работ. Методы исследования: анализ, синтез и моделирование.
Методология создания цифровых информационных моделей типовых многоквартирных зданий, принципиально описанная в предыдущих работах, была рассмотрена применительно ко всем возможным частным случаям. На основе проектов компании Атомстройкомплекс были определены принципиально возможные варианты типовых многоквартирных домов — это три группы: точечные, секционные и угловые дома с различной площадью этажа, разбитые на подгруппы по количеству лифтов. Для каждой подгруппы были созданы модули лестнично-лифтовых узлов. На следующем этапе изменялись параметры этажности и площади этажа для ЦИМ в каждой из подгрупп многоквартирных домов, определялись происходящие изменения в модулях библиотеки. В итоге были описаны действия, которые необходимо предпринять в отношении модулей библиотеки для их адаптации к применению в многоквартирных домах с различной этажностью и площадью этажа.
В результате определены:
возможные варианты архитектурных форм планов жилых домов;
изменения, которым могут подвергнуться модули библиотеки из-за изменения площади жилого дома в процессе выполнения проектных работ;
указаны мероприятия, которые следует предпринять для адаптации модулей библиотеки для возможности изменения площади секций жилых домов.
Previous research shows that neighborhood trees promote housing premiums, but property tree may not. This paper expands the research by measuring the value that property and neighborhood tree canopy add to home sale price. Rather than treating the entire city as the analysis area, we break the city into four Areas based on average house selling price and evaluate the canopy results by Area. We employ the 1 m resolution tree canopy data from the 2017 LiDAR, from which we extract the percentage of tree canopy on each property, and the percentage of tree canopy for the block group in which the sale took place (which we use as our neighborhood measure). We employ a semi log hedonic pricing model to analyze about 41,500 existing home sales to estimate the value of tree canopy. Our results show that in the Area with the lowest property values, either higher or lower than median tree canopy results in properties selling for less than the average canopy. For more valuable Areas, having less than median tree canopy generally reduces sale value while having more than median canopy increases sale value. We find this generally holds for both property canopy, and neighborhood canopy.
Social media platforms such as Twitter and Facebook have become deeply embedded in our everyday life, offering a dynamic stream of localized news and personal experiences. The ubiquity of these platforms position them as valuable resources for identifying estate-related issues, especially in the context of growing urban populations. In this work, we present a language model-based system for the detection and classification of estate-related events from social media content. Our system employs a hierarchical classification framework to first filter relevant posts and then categorize them into actionable estate-related topics. Additionally, for posts lacking explicit geotags, we apply a transformer-based geolocation module to infer posting locations at the point-of-interest level. This integrated approach supports timely, data-driven insights for urban management, operational response and situational awareness.
Hoang Vu, Nataliia Klievtsova, Henrik Leopold
et al.
With the rise of generative AI, industry interest in software agents is growing. Given the stochastic nature of generative AI-based agents, their effective and safe deployment in organizations requires robust governance, which can be facilitated by agentic business process management. However, given the nascence of this new-generation agent notion, it is not clear what BPM practitioners consider to be an agent, and what benefits, risks and governance challenges they associate with agent deployments. To investigate how organizations can effectively govern AI agents, we conducted a qualitative study involving semi-structured interviews with 22 BPM practitioners from diverse industries. They anticipate that agents will enhance efficiency, improve data quality, ensure better compliance, and boost scalability through automation, while also cautioning against risks such as bias, over-reliance, cybersecurity threats, job displacement, and ambiguous decision-making. To address these challenges, the study presents six key recommendations for the responsible adoption of AI agents: define clear business goals, set legal and ethical guardrails, establish human-agent collaboration, customize agent behavior, manage risks, and ensure safe integration with fallback options. Additionally, the paper outlines actions to align traditional BPM with agentic AI, including balancing human and agent roles, redefining human involvement, adapting process structures, and introducing performance metrics. These insights provide a practical foundation for integrating AI agents into business processes while preserving oversight, flexibility, and trust.
We study macroeconomic fluctuations in the United Kingdom over seven centuries (1271--2022) using a time-varying VAR with stochastic volatility. We identify business cycle shocks as innovations explaining the largest share of future output variance. Before 1900, these shocks display a stagflationary, supply-driven pattern, while post-1900 shocks become demand-driven, raising both output and inflation. Output volatility declines over time, peaking in the seventeenth century. Monetisation had large real effects in the sixteenth and seventeenth centuries, shifting to more inflationary impacts thereafter. Our results highlight how business cycle dynamics evolve with institutional, monetary, and structural transformations.
Siddhartha Krothapalli, Kartikey Singh Bhandari, Tridib Kumar Das
et al.
As customer feedback becomes increasingly central to strategic growth, the ability to derive actionable insights from unstructured reviews is essential. While traditional AI-driven systems excel at predicting user preferences, far less work has focused on transforming customer reviews into prescriptive, business-facing recommendations. This paper introduces ReviewSense, a novel prescriptive decision support framework that leverages advanced large language models (LLMs) to transform customer reviews into targeted, actionable business recommendations. By identifying key trends, recurring issues, and specific concerns within customer sentiments, ReviewSense extends beyond preference-based systems to provide businesses with deeper insights for sustaining growth and enhancing customer loyalty. The novelty of this work lies in integrating clustering, LLM adaptation, and expert-driven evaluation into a unified, business-facing pipeline. Preliminary manual evaluations indicate strong alignment between the model's recommendations and business objectives, highlighting its potential for driving data-informed decision-making. This framework offers a new perspective on AI-driven sentiment analysis, demonstrating its value in refining business strategies and maximizing the impact of customer feedback.
PurposeThis study reviews the teaching of real estate in the USA for the first 100 years after the foundational curriculum was laid down in 1923 by three key institutions: the National Association of Real Estate Boards (NAREB), the Institute for Research in Land Economics and Public Utilities (The Institute) and the American Assembly of Collegiate Schools of Business (AACSB). Its line of investigative pursuit is the persistent lamentation by American real estate scholars that real estate is not getting the respect it deserves as an academic discipline compared to its peers in the school of business such as accounting, finance and marketing. The study addresses a fundamental question: What is the cause of this endless “search for a discipline”? This is motivated by the belief that identification of the root cause of this “search for a discipline” will lead to the requisite solution: the intellectual foundation of the real estate discipline.Design/methodology/approachThe study used qualitative document analysis to review two primary documents published in 1959 as reports on business education in the USA: (1) Higher Education for Business, financed and sponsored by the Ford Foundation, and (2) The Education of American Businessmen – financed and sponsored by the Carnegie Corporation of New York. The impacts of the publications on the teaching of real estate to date have been reviewed in the context of scholarly actions and literature that has been generated in relation to the two documents.FindingsThe two primary documents impacted negatively on the teaching of real estate. The committee members who produced the two reports had indicated that real estate did not fit into the business curriculum hence should not be taught in business school. This conclusion led to unintended negative outcomes for real estate education. The negative impact of the reports arose principally because the teachers of real estate misinterpreted the outcome to mean that they should tweak the real estate curriculum to fit in the pedagogical framework of the business school. This reaction is responsible for perpetuating the identity crisis that has plagued real estate as an academic discipline since its inception as a subject of study in 1923. Secondly, at the inception of the real estate education in 1923, while the AACSB accepted real estate as a discipline in the school of business, Richard T. Ely wrote the curriculum under land economics which has led to the persistent collegiate dilemma regarding the teaching of the discipline.Social implicationsThe study sheds light on the situation of business education in the USA and AACSB-accredited colleges internationally. It draws attention to the incoherent body of knowledge of business education and will help schools of business to redesign their curricula to include course contents that rightly reflects the business oriented academic disciplines.Originality/valueThe study is timely as it has been done 100 years since the development of the first standard collegiate real estate curriculum following the 1923 conference at Madison. The study has reviewed the first 100 years in terms of the persistent quest: “in search of a discipline”. In so doing, it has uncovered the root cause of this search during the first centennium; and to end the search, it proposes that real estate should not be taught as a business discipline.
There is an importance for innovation hubs in the field of real estate development as they enhance sustainability, promote technological developments and encourage collaboration. The innovation hubs help to integrate modern technologies, which decrease the associated costs and increase productivity. Moreover, innovation hubs allow the systematic organization of construction activities and achieve sustainable development goals. This paper aims to evaluate the multiple factors influencing construction logistics in developing the real estate sector through innovation hubs. The research used quantitative methodology and relied on two data acquisition techniques. The primary or unpublished data is obtained through an online survey, and secondary data is procured through already published articles and journals. The obtained survey data is analysed using factor analysis. The main factors are performance factors, optimization factors, ecological factors and growth factors. The authors developed a model according to factor analysis results. The recommendations are implementing innovative forums which help to update and adopt innovative technologies. Also, performance analysis mechanisms should be implemented to analyse workers’ productivity.
Real estate business, Regional economics. Space in economics
В современном мире корпоративные девелоперские проекты играют важную роль в развитии бизнеса. От эффективности реализации этих проектов во многом зависит успех компании. Автором рассмотрены практические аспекты решения задачи селекции корпоративных девелоперских проектов с акцентом на необходимость комплексного подхода к принятию решения о реализации проекта.
Рассмотрены различные стратегии, которые применяются в процессе управления портфелем корпоративной недвижимости. Многообразие стратегий обуславливает необходимость формирования многосоставного перечня критериев для решения задачи селекции проектов девелопмента, реализуемых в рамках управления портфелем корпоративной недвижимости. Разработан перечень критериев, включающий в себя три группы параметров проектов: финансово-экономические, экологические и управленческие. В качестве критерия общей эффективности предлагается использовать социальный возврат на инвестиции, который входит в группу финансово-экономических критериев, совместно с капиталоемкостью, масштабностью и совокупной стоимостью владения. Экологические критерии учитывают такие параметры объекта недвижимости, как наличие различных сертификатов, класс энергоэффективности, а также внедрение автоматизированных систем управления зданием. Управленческие критерии позволяют оценить соответствие проекта общей стратегии корпорации, поэтому в данную группу входят такие параметры, как: срок ввода в эксплуатацию, формат реализации проекта, а также обеспеченность сотрудников площадью.
Для принятия итогового решения автором предлагается использовать метод анализа иерархий, широко применяемый в различных отраслях при решении подобных задач. Представлены методические основы, а также практический пример применения данного метода.
Данная статья является продолжением серии публикаций, посвященных промежуточным результатам и перспективам цифровой и нормативно-технической трансформации в строительной отрасли нашей страны и ее влиянию на отдельные задачи инвестиционно-строительного цикла, возникающие при создании современных университетских кампусов. Программа создания сети университетских кампусов является одним из основных драйверов научно-технологического развития и подготовки кадров в Российской Федерации в настоящее время. В связи с этим в предыдущих публикациях в развитие данной темы автор предлагал и обосновывал необходимость введения в систему строительной документации Кампусной программы, образовательно-технологических условий как нового типа инженерных параметров-измерителей материально-пространственной среды и образовательно-технологического задания (ОТЗ) как нового типа документа, который может являться частью задания на проектирование или приложением к нему, а также частью последующего договора на оказание услуг по управлению или технической эксплуатации объектов капитального строительства. При применении ОТЗ становится единственным доступным комплексным инструментом формирования качественных и количественных функционально-технологических и эксплуатационных параметров объектов кампуса в соответствии с принимаемой целевой моделью образовательной организации, определенной в ее программе развития. В настоящей статье автор предлагает алгоритмы формирования ОТЗ, описывает необходимость и возможность его интеграции с технологией информационного моделирования и непосредственно информационными моделями объектов капитального строительства. Это определяется тем, что ввиду действующих требований законодательства информационная модель призвана охватывать и объединять все этапы жизненного цикла объекта капитального строительства.
This study investigates wealth disparities between native and immigrant populations in Estonia and Latvia, focusing on individuals aged 60 years or older as the vast majority of immigrants in the Baltic region fall within this age group. We estimate the wealth differences between natives and immigrants across the wealth distribution and decompose the raw gap into its explained and unexplained parts. Our estimations show that the gaps in mean net wealth are of similar magnitude in Estonia and Latvia among the people aged 60 or older, with natives being on average about 40% wealthier than immigrants in both countries. Wealth disparities widen at the upper tail of the net wealth distribution. Although the factors contributing to the wealth gap are largely similar in both countries, some differences emerge. In Estonia, self-employment business assets and inheritances play a significant role, whereas in Latvia, additional real estate ownership contributes to the disparity.
Public finance, Economic growth, development, planning
Jaume Albardaner, Alberto San Miguel, Néstor García
et al.
This paper explores policy-learning approaches in the context of sim-to-real transfer for robotic manipulation using a TIAGo mobile manipulator, focusing on two state-of-art simulators, Isaac Gym and Isaac Sim, both developed by Nvidia. Control architectures are discussed, with a particular emphasis on achieving collision-less movement in both simulation and the real environment. Presented results demonstrate successful sim-to-real transfer, showcasing similar movements executed by an RL-trained model in both simulated and real setups.
The waste problem is still becoming a big concern in Indonesia. Waste, especially plastic waste comes from single-use packaging of daily necessities such as personal care and home care. PT. Siklus Refil Indonesia or Siklus, a retail company, comes to offer a sustainable solution of buying daily necessities by refill method. Since April 2020, Siklus has operated in the Greater Jakarta area and already impacted 20,000 customers. However, Siklus must change its new business model due to regulation from the Food and Drug Supervisory Agency (BPOM) that warned the company not to sell personal care who come in direct contact with skin. The warning impacted the decreasing customers, sales, and profit of Siklus. This research has the purpose of determining the new business model of Siklus using the design thinking concept. By this concept, this research empathizes with customers, defines customer needs, and ideates a business model. This research continues to decide the new business model by creating a matrix of stepwise selection. Then this research does a prototype business model and tests the new business model. After doing the process, Return from Home is selected as the new business model for Siklus.
PurposeThis study examined the role of Evergrande FC's club debt on the Chinese Super League (CSL)'s profitability from 2014 to 2019.MethodsWe extracted the financial statements of Evergrande FC and evaluated its correlation with the profitability of CSL and Evergrande Group, which serves as a direct indicator of commercial growth.ResultsThe association between Evergrande FC's net loss and gross debt and CSL's profitability is positive, strong (all correlation coefficients > .89), and statistically significant (all p < .05). The association between Evergrande FC's net asset value and CSL's profitability is negative, strong (correlation coefficient = −.97), and statistically significant (p < .05).ConclusionThese data imply that there is a good likelihood of a causal relationship between the negative club returns generated by real estate investments and CSL's rapid commercial growth from 2014 to 2019. In essence, a dovish monetary-regulatory policy nexus during this period drove up the CSL premium. This business history from the sports industry is another illustration of how the modern coupling of economic leverage and regulatory policy could have asymmetric impacts on short-term market growth. Based on this debt-fueled business history, CSL should progress to a higher level of development in the future.