Hasil untuk "Management of special enterprises"

Xincheng You, Qi Sun, Neha Bora et al.

Retrieval-Augmented Generation (RAG) shows promise for enterprise knowledge work, yet it often underperforms in high-stakes decision settings that require deep synthesis, strict traceability, and recovery from underspecified prompts. One-pass retrieval-and-write pipelines frequently yield shallow summaries, inconsistent grounding, and weak mechanisms for completeness verification. We introduce ADORE (Adaptive Deep Orchestration for Research in Enterprise), an agentic framework that replaces linear retrieval with iterative, user-steered investigation coordinated by a central orchestrator and a set of specialized agents. ADORE's key insight is that a structured Memory Bank (a curated evidence store with explicit claim-evidence linkage and section-level admissible evidence) enables traceable report generation and systematic checks for evidence completeness. Our contributions are threefold: (1) Memory-locked synthesis - report generation is constrained to a structured Memory Bank (Claim-Evidence Graph) with section-level admissible evidence, enabling traceable claims and grounded citations; (2) Evidence-coverage-guided execution - a retrieval-reflection loop audits section-level evidence coverage to trigger targeted follow-up retrieval and terminates via an evidence-driven stopping criterion; (3) Section-packed long-context grounding - section-level packing, pruning, and citation-preserving compression make long-form synthesis feasible under context limits. Across our evaluation suite, ADORE ranks first on DeepResearch Bench (52.65) and achieves the highest head-to-head preference win rate on DeepConsult (77.2%) against commercial systems.

I.V. Burtnyak, T.V. Khaludilo

The theoretical foundations of digital transformation in enterprise management have been substantiated in the article under conditions of dynamic market changes and globalization. It has been demonstrated that the traditional model of managerial processes and certain measures for the implementation of digital technologies are conflicted with contemporary challenges—global economic crises, tensions in international relations, and the rapid development of information technologies—which reduces enterprises’ ability to adapt to external shocks. The aim of the study has been defined as the systematization and deepening of the theoretical basis for digital transformation in management from the standpoint of integrating artificial intelligence, machine learning, big data analytics, and cloud services for the modernization of the economy and the enhancement of business competitiveness. The principal barriers to the implementation of digital technologies within management systems have been identified by the authors, and effective approaches for their overcoming have been proposed in order to ensure the stability and flexibility of managerial decisions. General scientific methods—abstraction, analysis, synthesis, logical generalization, and comparison—have been employed in the work. The stages of transition from traditional approaches to digital models have been examined through functional analysis in the context of societal reproduction—production, distribution, exchange, and consumption—while a historical review of the evolution of management thought has been combined with an analysis of contemporary practices. Key aspects of digitalization, including the integration of innovative technologies into management systems, the utilization of computer algorithms for processing large volumes of data, and the creation of interactive platforms for prompt decision-making, have been examined in the article. Special attention has been paid to external factors – global crises, international‐political challenges, and internal structural changes within companies. The scientific novelty has been constituted by the development of a functional concept of digital transformation in management, which takes into account the influence of both external economic conditions and internal innovation processes on enterprises’ adaptability. The results obtained are expected to contribute to increased forecasting accuracy, accelerated responsiveness to external changes, and strengthened competitiveness of enterprises.

Ганна Ворошилова

Topicality. In the current crisis conditions of unstable but still dynamic development of the restaurant services market, the problem of strengthening the competitiveness of restaurant busi­ness entities is becoming particularly relevant. The restaurant industry is one of the most sensi­tive to changes in consumer sentiments, modern tendencies, economic fluctuations and techno­logical innovations. Success in this market is determined by the ability of companies to quickly respond and adapt to new challenges, offer a unique product and provide high-quality service. In conditions of pandemic, military activity and further transformations of consumer behaviour, it is competitiveness that becomes a key factor in the survival and development of restaurant business entities. Special attention should be given to the study of strategies for increasing the competitiveness of network operators of the restaurant market, that have significant resources and potential for implementing innovations. At the same time, the scale of activity and the com­plexity of business processes pose additional challenges in managing service quality and oper­ational efficiency. As a result, the elaboration of scientifically sound approaches to forming and implementing strategies to enhance competitiveness of restaurant business entities is an urgent and ongoing task of modern economic science and management practice. The aim of the article and research methods. The aim of the article is to study the essence of the issue, to ground theoretical bases, to work out methodological approaches and practical recommendations for the formation of the strategy for increasing the competitiveness of restaurant business enterprises. The interpreted research topic requires the use of general economic, analytical and statistical methods, which allow to determine theoretical approaches, to ground a hypothetical research toolkit, to form an appropriate system of the strategy for strengthening the competitiveness of the restaurant business entities. Results. The obtained results are analysed. They consist in the development of theoretical foundations and in the elaboration of practical recommendations concerning the formation of the strategy for increasing the competitiveness of restaurant busi­ness enterprises. The definition of the concept of “competitiveness of a restaurant business enti­ty” is studied and improved, taking into account the specifics of the industry and modern market development trends. A methodological approach to the comprehensive assessment of the com­petitiveness of a restaurant chain, based on the integral indicator, is offered. It takes into account financial and non-financial aspects of the restaurant business entity’s activities. The feasibility of using a digital transformation strategy as an optimal direction for strengthening the com­petitiveness of a restaurant chain in modern conditions is substantiated. The perspectives for further research are a thorough study of the methodology and testing the strategy for increasing the competitiveness of the restaurant business entities, which can be supplemented by practical modern insights into this sphere and external factors. Conclusions and discussion. The study demonstrates the relevance of the offered measures in order to increase the competitiveness of the restaurant business entities, develops the strategy for the “!FEST” restaurant chain, and also grounds the choice of the optimal strategic approach. The sources used in this study confirm the importance of forming and implementing the strategy for increasing the competitiveness of the restaurant business entities.

Jufri Yandes, Syarif Fadillah, Sri Ismulyaty et al.

This study explores the impact of investment knowledge and the use of online investment applications on equity investment interest among PTJJ students of Open University Bandar Lampung through questionnaire statements. In today's digital landscape, technology has opened up new avenues for the younger generation to invest more easily and flexibly. Implementation The study used a quantitative approach with primary data and a survey adopting an ordinalized and modified Likert scale, as well as multiple regression, it was found that investment knowledge significantly increased students' interest in the stock market. Online investment applications also contribute positively by providing a user-friendly and educative platform. This synergy between knowledge and technology strengthens students engagement in equity investment. This study recommends improving financial literacy and technology integration in investment education. Educational institutions are advised to enrich the curriculum with investment materials and organise relevant training. Collaboration with online investment application providers to organise seminars and training can also be an effective strategy to increase students investment interest. 

Jiaquan Nicholas Chen, Marcel Ausloos

There are many misconceptions around stock prices, stock splits, shareholders, investors, and managers behaviour about such informations due to a number of confounding factors. This paper tests hypotheses with a selected database, about the question ''is stock split attractive for companies?'' in another words, ''why companies split their stock?'', ''why managers split their stock?'', sometimes for no benefit, and ''why shareholders agree with such decisions?''. We contribute to the existing knowledge through a discussion of nine events in recent (selectively chosen) years, observing the role of information asymmetries, the returns and traded volumes before and after the event. Therefore, calculating the beta for each sample, it is found that stock splits (i) affect the market and slightly enhance the trading volume in a short-term, (ii) increase the shareholder base for its firm, (iii) have a positive effect on the liquidity of the market. We concur that stock split announcements can reduce the level of information asymmetric. Investors readjust their beliefs in the firm, although most of the firms are mispriced in the stock split year.

Arpit Narechania, Alex Endert, Atanu R Sinha

After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We highlight six tenets for Agentic success in enterprises, by drawing attention to what the current, AI-Centric User paradigm misses, in the face of persistent needs of and usefulness for Enterprise Decision-Making. In underscoring a shift to User-Centric AI, we offer six tenets and promote market mechanisms for platforms, aligning the design of AI and its delivery by Agents to the cause of enterprise users.

Rajeev Kumar, Kumar Ishan, Harishankar Kumar et al.

Disconnected data silos within enterprises obstruct the extraction of actionable insights, diminishing efficiency in areas such as product development, client engagement, meeting preparation, and analytics-driven decision-making. This paper introduces a framework that uses large language models (LLMs) to unify various data sources into a comprehensive, activity-centric knowledge graph. The framework automates tasks such as entity extraction, relationship inference, and semantic enrichment, enabling advanced querying, reasoning, and analytics across data types like emails, calendars, chats, documents, and logs. Designed for enterprise flexibility, it supports applications such as contextual search, task prioritization, expertise discovery, personalized recommendations, and advanced analytics to identify trends and actionable insights. Experimental results demonstrate its success in the discovery of expertise, task management, and data-driven decision making. By integrating LLMs with knowledge graphs, this solution bridges disconnected systems and delivers intelligent analytics-powered enterprise tools.

Tasfiyah Aulia, Ronny Ronny

Di masa kemajuan era digital saat ini perkembangan teknologi internet begitu pesat. Hal ini mengubah cara pandang, cara kerja, dan segala bidang termasuk dalam hal belanja online. Penelitian ini bertujuan untuk menguji pengaruh kepercayaan, keamanan, dan kualitas yang dirasakan terhadap keputusan pembelian. Sampel terdiri dari 129 responden yaitu pelanggan Shopee yang memiliki karakteristik minimal berusia 19 tahun dan pernah melakukan pembelian di Shopee. Penelitian ini menggunakan analisis Structural Equating Modelling (SEM) pada Partial Least Square (PLS) dan menggunakan penyebaran kuesioner dalam bentuk google form untuk pengumpulan data. Hasil penelitian ini menunjukkan bahwa adanya pengaruh yang signifikan positif kepercayaan terhadap keputusan pembelian. Penelitian ini menunjukkan adanya pengaruh yang signifikan positif keamanan terhadap keputusan pembelian. Hasil terakhir dari penelitian ini yaitu kualitas yang dirasakan juga berpengaruh signifikan posistif terhadap keputusan pembelian.

Тетяна Близнюк, Олег Кузь, Ірина Кінас

A special event is an important concept because it participates in globalization processes, contributing to the spread of cultural practices and standardized examples of behavior. This study aims to analyze the essence of the concept of special events and determine the role of event management in the organization of special events. A special event is a short-term or long-term project with a specific goal and target audience. Individuals or groups (often non-governmental and governmental organizations) organize such an event. Non-governmental organizations are commercial enterprises, agencies, sports clubs, non-profit organizations, humanitarian and religious organizations, political parties and organizations. These organizations have significant financial resources at their disposal, which they spend on promotions, raffles, concerts, parades, advertising campaigns, etc. Special events by type can be divided into celebrations, celebrations and commemorations, cultural events, sporting events, fashion shows, religious events, political events, educational events, and events related to an action, service, person, or enterprise. The classification of special events was also systematized according to other characteristics (by the degree of abstraction and generalization, the method of financing, depending on the performer-organizer, the target audience, the type and scale of the event, according the frequency of the event). It has been proven that event management becomes an effective tool for the manager of social and cultural activities, which can be used as a means of developing the sphere of leisure, and as a management tool to achieve certain goals. It was determined that the task of event management is the systematization of stages, processes, and steps that are an integral part of the organization of events, including special events. The key stages of the organization of special events were analyzed and the features of each of these stages were considered. Further areas of research will be the analysis of the features of event marketing and marketing of special events.

Hasna Nurazizah Kuswara, Donny Nauphar, Ariestya Indah Permata Sari

Background: Hypertension is the leading cause of death globally due to its complications, including coronary heart disease and stroke. In 2018, hypertension cases in West Java were the second highest among all populations in Indonesia. Genetics is one of the unmodifiable risk factors for hypertension. Angiotensin-converting enzyme insertion/deletion (ACE I/D) gene polymorphism could affect ACE production in the renin-angiotensin-aldosterone system (RAAS), which is linked to the regulation of blood pressure. Aims: To analyze ACE I/D gene polymorphism as a risk factor for hypertension in Cirebon. Methods: An observational analysis with a case-control design was used in this study. Blood samples were collected from 30 hypertensive patients and 30 healthy individuals at Talun Health Center. DNA extraction was performed to evaluate polymorphisms using ARMS-PCR. Statistical analyses, including the Chi-square test, Fisher’s exact test, Mann-Whitney, and Kruskal-Wallis test, were conducted to compare the case and control groups. The odds ratio was calculated to see the risk of the assessed variables, including genotype, allele frequency, and the presence of ACE I/D gene polymorphism. Results: In the case group, the frequency of the II genotype was 2 (6.7%), the ID genotype was 25 (83.3%), and the DD genotype was 3 (10.0%). In the control group, the frequency of the II genotype was 2 (6.7%), the ID genotype was 26 (86.7%), and the DD genotype was 2 (6.7%). Statistically, there was no significant association between ACE I/D gene polymorphisms in essential hypertension patients and healthy people (p=0.500; OR=1.556; 95% CI=0.241-10.049). Conclusion: ACE I/D gene polymorphism was not significantly associated with essential hypertension in Cirebon, West Java, Indonesia.    Received: 25 September 2024  |  Reviewed: 21 October 2024  |  Revised: 23 November 2024  |  Accepted: 30 November 2024.

Niken Tri Wulandari, Rusnandari Retno Cahyani, Prima Prihatini

Penelitian ini bertujuan untuk mengetahui pengaruh mutasi, motivasi dan lingkungan kerja terhadap kinerja pegawai Badan Pertanahan Nasional (BPN) Karanganyar. Penelitian ini merupakan penelitian deskriptif dengan menggunakan metode kuantitatif. Populasi dalam penelitian ini adalah pegawai Badan Pertanahan Nasional (BPN) Karanganyar, sampel yang digunakan sebanyak 118 responden. Hasil penelitian ini menunjukan bahwa nilai Fhitung > Ftabel = 11,978 > 2,68 dengan nilai signifikansinya sebesar 0,000 < 0,05 artinya bahwa mutasi, motivasi dan lingkungan kerja secara simultan dan signifikan berpengaruh terhadap kinerja pegawai Badan Pertanahan Nasioal (BPN) Karanganyar. Diantara ketiga varibel diatas mutasi dan lingkungan kerja secara parsial tidak berpengaruh signifikan terhadap kinerja pegawai sedangkan motivasi secara parsial berpengaruh signifikan terhadap kinerja pegawai Badan PertanahanNasional (BPN) Karanganyar. Diketahui hasil perhitungan Nilai koefisien determinasi R Square diperoleh sebesar 0,240 artinya bahwa variabel bebas dalam menjelaskan variabel terikat sebesar 24% sedangkan sisanya 76% dipengaruhi oleh faktor lain yang tidak diteliti di penelitian ini.

Mohammad Sammany, Ahmad Steef, Nedaa Agami et al.

It is well known over the recent years that measuring the success of projects under the umbrella of project management is inextricably linked with the associated cost, time, and quality. Most of the previous researches in the field assigned a separate mathematical model for each criterion, then numerical methods or search techniques were applied to obtain the optimal trade-off between the three criteria. However in this paper, the problem was addressed by linear multi-objective optimization using only one fuzzy mathematical model. The three criteria were merged in a single non-linear membership function to find the optimal trade-off. Finally, the proposed model is tested and validated using numerical examples.

lunwu Liu, Shi Liu

This study adopts the fixed effects panel model and provincial panel data on anticorruption and the innovation efficiency of high-level technology and new technology enterprises in China from 2005 to 2014, to estimate the effects of the anticorruption movement on the innovation efficiency of enterprises at different corruption levels. The empirical results show that anticorruption is positively correlated with the innovation efficiency of enterprises; however, the correlation is differentiated according to different corruption levels and business natures. At a high level of corruption, anticorruption has positive impacts on enterprises' innovation; at a low level of corruption, it negatively affects innovation efficiency. However, anticorruption has negative effects on the innovation efficiency of state-owned enterprises at both high and low corruption levels; for nonstate-owned enterprises, its effects are positive at a high corruption level and negative at a low corruption level. The effects remain the same across different regions.

Peng Hu

Recent advancements in low-Earth orbit (LEO) satellites represented by large constellations and advanced payloads provide great promises for enabling beyond 5G and 6G telecommunications and high-quality and ubiquitous Internet connectivity to everyone anywhere on Earth. LEO satellite networks are envisioned to bridge the urban-rural connectivity gap for the digital divide. However, the digital divide can hardly be closed by only providing connectivity to rural and remote areas. Various unprecedented challenges brought by the emerging satellite Internet still need to be resolved, such as inconsistent end-to-end performance guarantees and a lack of efficient management and operations in these areas, which are referred to as "performance gap" and "management gap", respectively. This position paper will briefly discuss these gaps, approaches to addressing the gaps, and some research directions based on our recent works.

Mohsen Sharafatmandrad, Azam Khosravi Mashizi, Esfandiar Jahantab

IntroductionRangeland provides numerous ecosystem goods and services. Most rangeland management decisions focus on forage production, and this can lead to the loss of other rangeland ecosystem services. One of those services is carbon sequestration, the removal of carbon dioxide from the Earth's atmosphere and its storage in the ground. Rangeland, which covers approximately half of terrestrial ecosystems, is one of the most important sinks for atmospheric carbon dioxide. Photosynthesis, respiration and decomposition are the main processes in the ecosystem that determine how carbon is stored in the soil. Anthropogenic activities like livestock grazing can significantly alter soil carbon storage. Unfortunately, human activities have resulted in lower soil carbon and increased global climate change. Livestock grazing is one of the most significant factors affecting the structure and functioning of ecosystems. Grazing livestock can affect the amount of carbon in the soil through reduced vegetation cover, altered species composition, soil degradation, urination and defecation. On the other hand, changes in the quantity and quality of forage production by livestock grazing have a strong effect on the welfare of the beneficiaries. Consequently, knowledge of the relationship between forage production and other ecosystem goods and services such as soil carbon is essential to the sustainability of ecosystems. It is important to study the quantity and quality changes in rangeland production in relation to different livestock grazing intensities on soil carbon. However, this information can assist range managers in providing techniques to promote soil carbon storage. The purpose of the study is 1) to determine annual forage production in rangelands at different grazing intensities, 2) to study the quality of rangeland forages produced, 3) to assess soil carbon content at different grazing intensities, and 4) to assess the relationship between rangeland production and soil carbon content at different grazing intensities. Material and MethodsA rangeland adjacent to Khabr National Park in Kerman province was selected as the study area. The study area is shrub- dominated species Artemisia aucheri Boiss. Three sites with different grazing intensities (for example, exclosure, high grazing and moderate grazing) were sampled. At each site, three 100m transects with 50m intervals were set up. Ten quadrats were randomly assigned to each transect. For each quadrat, the species met were recorded and their number of individuals and the amount of forage produced were measured. The annual forage production (forage quantity) was measured using the clip and weigh method. To determine forage quality, crude protein, acid detergent fibre (ADF), dry matter digestion and metabolizable energy were estimated for each species. Additionally, a soil sample was taken from each of the quadrats. The samples were air-dried and sieved with a 2 mm sieve. The organic carbon of the soil samples was determined through wet oxidation with Walkley-Black chromic acid. Then, the species importance index (IVI) was estimated using relative frequency (Fr), relative density (Dr) and relative dominance (Dor). One-way ANOVA and LSD were used to compare different grazing intensities in terms of soil carbon, annual production, crude protein, ADF and metabolizable energy. Pearson's correlation was used to examine the relationship between soil carbon and annual production with the qualitative attributes of production, ie. The primary component analysis (PCA) was used to identify the most important species in terms of production at the three sites with different grazing intensities (exclosure, high grazing and moderate grazing). Principal Component Analysis (PCA) was used to identify the most important species in terms of production at the three sites with differing grazing intensities (exclosure, high grazing and moderate grazing). Results and DiscussionThe quantity and quality of forage has been reduced in the livestock grazing sites. The study area has a long history of cattle grazing, which has significantly altered the composition of the vegetation. About 26% of the exclosure site species had been removed from the plant composition of medium pasture sites, most of which are appetizing species. Although the amount of organic carbon in the soil increased at the exclosure site, it was not significantly different from grazing sites. Therefore, despite the improvement in forage quality and quantity, soil organic carbon had shown a lower reaction to the exclosure. Due to the presence of acceptable species, there was a positive relationship between forage quantity and quality at the exclosure site. Although A. aucheri was still dominant shrub species in the site with medium grazing intensity, there was no significant relationship between forage quantity and quality due to the decrease of palatable species. With the increase in the number of non-platable species in the high grazing site, there was a significant negative relationship between forage quantity and quality. There was a positive and meaningful relationship between soil carbon and the amount and quality of forage at the exclos site. The relationship between soil carbon and forage quantity and quality was not significant on grazing sites because of a change in plant composition. In the sites under grazing, palatable forbs such as Tragopogon jesdianus Boiss. and Lathyrus annuus L. were not observed and perennial grasses were significantly reduced. It should be noted that forage production of forbs has not changed much on the site with average grazing compared to the exclosure site. Perennials, especially woody plants, were severely reduced at the site with high grazing intensity. There were no bushes observed at that location. Annual grasses had increased in the site with heavy browsing. As perennials decrease, space and resources become available for the invasion of annual plants, especially annual grasses. Therefore, Bromus tectorum L. had the highest forage production in the   high grazing area. In terms of crude protein, the high grazing area had low quality forage. Since livestock grazing and subsequent changes in plant composition do not greatly impact soil carbon, livestock management can contribute to the improvement of plant composition and forage production at this site. Taking into account the impact of grassland management on other ecosystem functions, it is suggested to explore the relationship between the amount of production and other functions of quality rangeland ecosystems in order to sustainably manage rangeland ecosystems.

Kalutskaya N. A., Kovalenko S.N., Kovalenko Y. N. et al.

Justification. In modern realities, in conditions of political and economic instability, the number of risks faced by an organization is quite large. Based on this, the management of enterprises in the agro-industrial sector of the economy should conduct internal control in such a way as to identify and eliminate any risks in a timely manner. Thus, risk-oriented internal control of organizations in the agro-industrial sector of the economy is aimed at focusing on areas that are more susceptible to the risks of significant distortion of financial statements than others. Goal. Formation of a risk-oriented approach to the internal audit of organizations of the agro-industrial sector of the economy. Materials and methods. Consideration of the regulatory framework that regulates the standards of audit procedures, in particular in the context of internal audit procedures. Results. The authors conducted a comparative analysis of the traditional audit, which does not pay special attention to corporate governance, financing and risk management of the enterprise, and the audit focusing on the risks faced by the organization. Next, the stages and procedures that need to be carried out during the implementation of the control in question are considered. The authors also consider the contribution (in terms of advantages) of risk-based internal audit to the activities of the organization of the agro-industrial sector of the economy. Taking into account the constant digitalization of many aspects of the activities of various companies, the impact of this informatization on internal audit was also studied and the main risks and ways to combat them were identified. Conclusion. The mechanisms of a risk-oriented approach to the internal audit of organizations of the agro-industrial sector of the economy have been identified and formed.

Muhammad Zubair Khan, Oleg E. Peil, Apoorva Sharma et al.

In the rapidly expanding field of two-dimensional materials, magnetic monolayers show great promise for the future applications in nanoelectronics, data storage, and sensing. The research in intrinsically magnetic two-dimensional materials mainly focuses on synthetic iodide and telluride based compounds, which inherently suffer from the lack of ambient stability. So far, naturally occurring layered magnetic materials have been vastly overlooked. These minerals offer a unique opportunity to explore air-stable complex layered systems with high concentration of local moment bearing ions. We demonstrate magnetic ordering in iron-rich two-dimensional phyllosilicates, focusing on mineral species of minnesotaite, annite, and biotite. These are naturally occurring van der Waals magnetic materials which integrate local moment baring ions of iron via magnesium/aluminium substitution in their octahedral sites. Due to self-inherent capping by silicate/aluminate tetrahedral groups, ultra-thin layers are air-stable. Chemical characterization, quantitative elemental analysis, and iron oxidation states were determined via Raman spectroscopy, wavelength disperse X-ray spectroscopy, X-ray absorption spectroscopy, and X-ray photoelectron spectroscopy. Superconducting quantum interference device magnetometry measurements were performed to examine the magnetic ordering. These layered materials exhibit paramagnetic or superparamagnetic characteristics at room temperature. At low temperature ferrimagnetic or antiferromagnetic ordering occurs, with the critical ordering temperature of 38.7 K for minnesotaite, 36.1 K for annite, and 4.9 K for biotite. In-field magnetic force microscopy on iron bearing phyllosilicates confirmed the paramagnetic response at room temperature, present down to monolayers.

Mandar Khoje

In today's digital age, the imperative to protect data privacy and security is a paramount concern, especially for business-to-business (B2B) enterprises that handle sensitive information. These enterprises are increasingly constructing data platforms, which are integrated suites of technology solutions architected for the efficient management, processing, storage, and data analysis. It has become critical to design these data platforms with mechanisms that inherently support data privacy and security, particularly as they encounter the added complexity of safeguarding unstructured data types such as log files and text documents. Within this context, data masking stands out as a vital feature of data platform architecture. It proactively conceals sensitive elements, ensuring data privacy while preserving the information's value for business operations and analytics. This protective measure entails a strategic two-fold process: firstly, accurately pinpointing the sensitive data that necessitates concealment, and secondly, applying sophisticated methods to disguise that data effectively within the data platform infrastructure. This research delves into the nuances of embedding advanced data masking techniques within the very fabric of data platforms and an in-depth exploration of how enterprises can adopt a comprehensive approach toward effective data masking implementation by exploring different identification and anonymization techniques.

Arnon Archankul, Giorgio Ferrari, Tobias Hellmann et al.

We consider a singular control model of cash reserve management, driven by a diffusion under ambiguity. The manager is assumed to have maxmin preferences over a set of priors characterized by $κ$-ignorance. A verification theorem is established to determine the firm's cost function and the optimal cash policy; the latter taking the form of a control barrier policy. In a model driven by arithmetic Brownian motion, we use Dynkin games to show that an increase in ambiguity leads to higher expected costs under the worst-case prior and a narrower inaction region. The latter effect can be used to provide an ambiguity-driven explanation for observed cash management behavior. Our findings can be applied to broader applications of singular control in managing inventories under ambiguity.

Jaroslav Nenadál, D. Vykydal, Petra Halfarová et al.

Production companies throughout the world are currently facing challenges with the extensive transformation of their processes with regard to digitalisation and other features of Industry 4.0. Simultaneously, traditional quality management processes must be significantly changed, and the umbrella term “Quality 4.0” is used to represent this transformation. Many companies, including Czech enterprises, are still struggling with the concept of Quality 4.0, as there are a lot of uncertainties, misunderstandings, and false approaches. Additionally, a lot of questions arise about how to provide an objective and comprehensive assessment of the company’s maturity or readiness for Quality 4.0. Therefore, the main objective of this article is to present our proposal of a framework and methodology on how to assess and measure the maturity level for the implementation of Quality 4.0. This proposal will be supplemented by a presentation of the main results obtained from a special field study, which was conducted at Czech production companies with the aim of obtaining a representative set of information showing their readiness to adopt Quality 4.0 and convert existing quality management systems into the new era. The authors also identify some research gaps, including the necessity to confirm the mutual relationship between the dimensions and items of Quality 4.0 and the sustainable development of companies or society.