Hasil untuk "Business records management"

Jonathon N. Cummings

Ahmet Ayaz, Mustafa Yanartaş

Abstract Public Institutions need information systems that facilitate management of generated documents during business processes on a digital platform. Development of information and communication technologies facilitated the transfer of documents to digital platforms which caused the emergence of Electronic Document Management System (EDMS). Institutions are utilizing EDMS in order to keep records securely and improve business processes. EDMS have many benefits such as improvement of efficiency and productivity, reduction of errors, increase in quality of service and reduction of costs. On the other hand, while EDMS offers many benefits to its users, it also has made it imperative to adopt the new technological system. For this reason, it becomes essential to understand the factors that affect the intention of use of EDMS. This study researches the factors that affect the adoption and use of EDMS in Bartin University by using the unified theory of acceptance and use of technology (UTAUT). In this research, data was analyzed by using R software program and Structural Equation Modelling (SEM). Based on the findings, 61% of the intention of use of EDMS has been explained by performance expectancy and social influence factors with in the proposed model. Empirical findings suggest that the factors of performance expectancy and social influence has a positive effect on the intention of use but of effort expectancy factor does not have a positive effect.

D. Dimitrov

Objectives This pilot study aimed to provide an overview of the potential for blockchain technology in the healthcare system. The review covers technological topics from storing medical records in blockchains through patient personal data ownership and mobile apps for patient outreach. Methods We performed a preliminary survey to fill the gap that exists between purely technically focused manuscripts about blockchains, on the one hand, and the literature that is mostly concerned with marketing discussions about their expected economic impact on the other hand. Results The findings show that new digital platforms based on blockchains are emerging to enabling fast, simple, and seamless interaction between data providers, including patients themselves. Conclusions We provide a conceptual understanding of the technical foundations of the potential for blockchain technology in healthcare, which is necessary to understand specific blockchain applications, evaluate business cases such as blockchain startups, or follow the discussion about its expected economic impacts.

Haneen Attaallah

The paper presents a theoretical investigation exploring the effects of the types of family support on the subjective well-being of entrepreneurial women in the Arab region. Despite the increasing acknowledgment of the significance of women's entrepreneurship in driving economic development, there remains a limited understanding of the roles played by different types of family support and their effects on the well-being of women entrepreneurs within the Arab states. Drawing on existing literature and theoretical frameworks, we argue that family support (instrumental, financial, and emotional) is crucial in facilitating the entrepreneurial endeavors and subjective well-being of women entrepreneurs operating in Arab states, where patriarchal forces and discriminatory social norms often shape the entrepreneurial landscape. Furthermore, this paper outlines a future research agenda to bridge the knowledge gap on this issue. We emphasize the importance of considering cultural and contextual factors while exploring the dynamics of family support and its outcomes and conducting empirical investigations in the Arab region. Overall, this paper contributes to understanding the unique challenges and opportunities faced by women entrepreneurs in the Arab region and can inform policymakers, support organizations, and stakeholders in designing effective interventions and support mechanisms for women entrepreneurs in the Arab states.

Emmanuel Oyasor

Line of Credit (LOC) is a credit source extended to firms by a bank or other financial institutions to help firms meet their short- and long-term obligations. The study’s broad aim is to examine the effect of the 2008 financial crisis on firms’ use of LOC. The study analyses the global crisis impacts on corporate financing through a LOC; examines the role of letters of credit in a firm’s liquidity management; and assesses the difficulties banks face in providing LOC facilities to firms. The study limits its scope to a few years: a year before (2007), during the crisis (2008/09), and a year after. This ensures that the gaps between the years are small and allows the study to focus on the crisis era. The paper examines 30 Canadian firms, before, during, and after the crisis, to determine whether they use more of their LOC or cash flow to finance their day-to-day financial obligations. Also, the paper intends to determine the amount of interest paid if LOCs were used by the firms. The paper finds that during the crisis, 10 Canadian firms were able to meet their day-to-day operations without relying much on LOC. They used more of their cash flow instead of LOCs to meet their financial obligations, and during the period of the crisis, the firms used less of their LOCs, which indicates that lower interest were being paid by the firms. For some firms, the difference in percentage of their cash flow usage between the year before the crisis and during the year of the crisis was not so significant. Some firms had been in the habit of always using their cash flow to meet their day-to-day financial obligations. These firms would always be in the right position to get more credit from the bank.

Тетяна Ясінська, Мі Сінь

Актуальність дослідження теоретичних та прикладних основ використання торговельних марок у бізнес-діяльності обумовлена важливою роллю останніх для залучення клієнтів та забезпечення їх лояльності в сучасних умовах глобалізації ринків. Наукові розробки у цій сфері сприяють підвищенню ефективності управління таким об’єктом інтелектуальної власності як торговельна марка у бізнес-структурах. Метою представленого у статті дослідження є розкриття сутності категорій із понятійного апарату застосування торговельних марок у діяльності підприємств та вдосконалення класифікації видів торговельних марок. Методологічну основу дослідження склали системний підхід, аналіз і синтез, спостереження, порівняльний аналіз та метод експертних оцінок. У статті досліджено зміст поняття торговельної марки та суміжних термінів у національних та міжнародних законодавчих актах, а також у публікаціях науковців. Сформульовано висновок щодо можливості тотожного вживання термінів «торговельна марка», «торговельний знак», «знак для товарів та послуг». Проведено критичний аналіз підходів науковців до тлумачення поняття «бренд», продемонстровано принципові відмінності між торговельною маркою та брендом. Побудовано класифікацію видів торговельних марок, до якої включено класифікаційні ознаки, що мають важливе теоретичне значення та прикладну цінність для використання у діяльності підприємств. Запропоновано нову класифікаційну ознаку (залежно від  рівня відтворення назви та ознак товару (послуги)), відповідно до якої виокремлено звичні, ексклюзивні та опонімні торговельні марки. Значення запропонованої класифікаційної ознаки полягає у її прикладній цінності на етапі розроблення торговельної марки, а також під час її економічного оцінювання як нематеріального активу господарюючого суб’єкта. Представлені розробки формують основу для подальших досліджень, спрямованих на вдосконалення методології економічного оцінювання такого об’єкту інтелектуальної власності підприємства як торговельна марка. Результати дослідження у статті мають як теоретичне значення для розвитку теоретичних основ управління нематеріальними активами бізнес-структур, так і прикладну цінність для менеджерів підприємств при використанні торговельних марок в управлінні бізнес-діяльністю.

Felix Möhrlein, Martin Käppel, Julian Neuberger et al.

Sensitive attributes like gender or age can lead to unfair predictions in machine learning tasks such as predictive business process monitoring, particularly when used without considering context. We present FairLoop1, a tool for human-guided bias mitigation in neural network-based prediction models. FairLoop distills decision trees from neural networks, allowing users to inspect and modify unfair decision logic, which is then used to fine-tune the original model towards fairer predictions. Compared to other approaches to fairness, FairLoop enables context-aware bias removal through human involvement, addressing the influence of sensitive attributes selectively rather than excluding them uniformly.

Jiaxing Wang, Yifeng Yu, Jiahan Song et al.

Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native platforms, which enables proactive resource allocation and dynamic service composition. Despite the prevalence of sequence-based methods, these approaches fail to capture non-sequential relationships that arise from parallel executions and conditional dependencies. Even though graph-based approaches address structural preservation, they suffer from homogeneous representations and static structures that apply uniform modeling strategies regardless of individual process complexity characteristics. To address these limitations, we introduce RLHGNN, a novel framework that transforms event logs into heterogeneous process graphs with three distinct edge types grounded in established process mining theory. Our approach creates four flexible graph structures by selectively combining these edges to accommodate different process complexities, and employs reinforcement learning formulated as a Markov Decision Process to automatically determine the optimal graph structure for each specific process instance. RLHGNN then applies heterogeneous graph convolution with relation-specific aggregation strategies to effectively predict the next activity. This adaptive methodology enables precise modeling of both sequential and non-sequential relationships in service interactions. Comprehensive evaluation on six real-world datasets demonstrates that RLHGNN consistently outperforms state-of-the-art approaches. Furthermore, it maintains an inference latency of approximately 1 ms per prediction, representing a highly practical solution suitable for real-time business process monitoring applications. The source code is available at https://github.com/Joker3993/RLHGNN.

Anna Kasperczuk, Michał Ćwiąkała, Ernest Górka et al.

This study investigates the role of employee motivation as a critical factor in effective business management and explores how financial and non-financial motivators shape engagement and performance. Based on a quantitative survey of 102 employees, the research analyzes differences in motivation levels across gender, age, and work experience, as well as the perceived effectiveness of various motivational tools. The findings indicate that financial incentives, particularly bonuses for achieving targets, are the most influential motivators, while non-financial factors such as flexible work schedules, additional leave, career development opportunities, and workplace atmosphere also play a crucial role in enhancing motivation. Significant variations in motivation were observed, with men, older employees, and those with longer tenure reporting higher levels. The study also reveals that work-life balance initiatives substantially increase motivation, highlighting the importance of combining financial and non-financial strategies to achieve optimal results. The results provide actionable insights for managers seeking to design effective motivation systems, showing that tailored, multifaceted approaches can improve employee satisfaction, retention, and organizational performance. Future research could explore cultural and sectoral differences and examine the evolving importance of motivational factors in remote and hybrid work environments.

Wenjuan Li, Jiyi Wu, Jian Cao et al.

Through virtualization and resource integration, cloud computing has expanded its service area and offers a better user experience than the traditional platforms, along with its business operation model bringing huge economic and social benefits. However, a large amount of evidence shows that cloud computing is facing with serious security and trust crisis, and building a trust-enabled transaction environment has become its key factor. The traditional cloud trust model usually adopts a centralized architecture, which causes large management overhead, network congestion and even single point of failure. Furthermore, due to a lack of transparency and traceability, trust evaluation results cannot be fully recognized by all participants. Blockchain is a new and promising decentralized framework and distributed computing paradigm. Its unique features in operating rules and traceability of records ensure the integrity, undeniability and security of the transaction data. Therefore, blockchain is very suitable for constructing a distributed and decentralized trust architecture. This paper carries out a comprehensive survey on blockchain-based trust approaches in cloud computing systems. Based on a novel cloud-edge trust management framework and a double-blockchain structure based cloud transaction model, it identifies the open challenges and gives directions for future research in this field.

Pascal Muam Mah, I. Skalna, John Muzam

Introduction: The advances in the digital era have necessitated the adoption of communication as the main channel for modern business. In the past, business negotiations, profiling, seminars, shopping, and agreements were in-person but today everything is almost digitalized. Objectives: The study aims to examine how the Internet of things (IoTs) connects text-object as part of NLP and AI responding to human needs. Also, how precipitated changes in the business environment and modern applications such as NLP and AI embedded with IoTs services have changed business settings. Problem statement: As communication takes lead in the business environment, companies have developed sophisticated applications of NLP that take human desires and fulfill them instantly with the help of text, phone calls, smart records, and chatbots. The ease of communication and interaction has shown a greater influence on customer choice, desires, and needs. Modern service providers now use email, text, phone calls, smart records, and virtual assistants as first contact points for almost all of their dealings, customer inquiries, and most preferred trading channels. Method: The study uses text content as part of NLP and AI to demonstrate how companies capture customers’ insight and how they use IoTs to influence customers’ reactions, responses, and engagement with enterprise management in Industry 4.0. The “Behavior-oriented drive and influential function of IoTs on Customers in Industry 4.0” concept was used in this study to determine the influence of Industry 4.0 on customers. Results: The result indicates the least score of 12 out of 15 grades for all the measurements on a behavior-oriented drive and influential function of IoTs on customers. Conclusion: The study concluded that NLP and AI are the preferred system for enterprise management in the era of Industry 4.0 to understand customers’ demands and achieve customer satisfaction. Therefore, NLP and AI techniques are a necessity to attain business goals.

Fauzi Enny, Budiyanto Budiyanto, Agustedi Agustedi

This study took the Human Capital Theory as a theoretical perspective to empirically investigate the role of supervisors' supervision in moderating the effect of professionalism and creativity on the performance of public high school teachers in Pekanbaru. The research respondents were 144 teachers, the data were processed using the PLS Structural Equation Modeling (SEM). The study proposed supervisors' supervision as a strategy to improve teacher performance. The results of the study show that professionalism and creativity affect teacher performance—supervisors' supervision plays a role in strengthening teacher performance. These results strengthen the Human Capital Theory stating that a combination of knowledge, skills, innovation, and a person's ability to carry out their duties can create value to achieve goals.

О. Б. Яфінович, Н. А. Плєшакова, Є. А. Носова

Актуальність теми дослідження обумовлюється необхідністю масштабного будівництва та відновлення об’єктів нерухомості внаслідок збройної агресії з боку рф в Україні з одночасною активізацією інструментів, які спрямовані на ефективне функціонування економіки країни. Краудфандинг на ринку нерухомості є одним з особливих інвестиційних способів успішної відбудови різних типів пошкоджених та зруйнованих об’єктів нерухомості із залученням великого пулу капіталодавців з використанням цифрових інструментів. Мета статті полягає у визначенні потенціалу та можливостей краудфандингу для фінансування інвестиційних проєктів на ринку нерухомості в Україні. У роботі застосовані як загальнонаукові, так і спеціальні методи наукового дослідження, зокрема: узагальнення, порівняння, статистичного та стратегічного аналізу. На основі аналізу уроків застосування краудфандингу на ринку нерухомості в зарубіжних країнах та в Україні визначено роль цього інструменту для активізації інвестиційних процесів щодо колективного фінансування об’єктів нерухомості різного функціонального призначення, аргументовано його потенційні можливості у розв’язанні соціально-економічних проблем місцевих громад та у діяльності місцевих органів влади. Теоретичне значення статті полягає у поглибленні та конкретизації знань щодо комплексного розуміння феномену краудфандингових технологій на ринку нерухомості на підставі визначення структури учасників екосистеми краудфандингу нерухомості, факторів зацікавленості кожної сторони екосистеми, ризиків у краудфандинговій діяльності. Проведений у роботі SWOT-аналіз краудфандингу на ринку нерухомості в Україні дозволив визначити практичне значення роботи - розкрити чинники та явища, що породжує краудфандингова діяльність на ринку нерухомості, потенціал цього інструменту та окреслити кроки щодо нарощення обсягів зазначеного ринку на вітчизняному просторі. Серед подальших досліджень можуть бути питання регулювання в Україні краудфандингу в цілому, зокрема у сфері нерухомості, а також ризиків, що з ним пов’язані. Стаття має теоретико-прикладний характер.

Shuochen Bi, Wenqing Bao

With the rapid growth of technology, especially the widespread application of artificial intelligence (AI) technology, the risk management level of commercial banks is constantly reaching new heights. In the current wave of digitalization, AI has become a key driving force for the strategic transformation of financial institutions, especially the banking industry. For commercial banks, the stability and safety of asset quality are crucial, which directly relates to the long-term stable growth of the bank. Among them, credit risk management is particularly core because it involves the flow of a large amount of funds and the accuracy of credit decisions. Therefore, establishing a scientific and effective credit risk decision-making mechanism is of great strategic significance for commercial banks. In this context, the innovative application of AI technology has brought revolutionary changes to bank credit risk management. Through deep learning and big data analysis, AI can accurately evaluate the credit status of borrowers, timely identify potential risks, and provide banks with more accurate and comprehensive credit decision support. At the same time, AI can also achieve realtime monitoring and early warning, helping banks intervene before risks occur and reduce losses.

Atchiyya Naidu Chitikela

In this paper, we propose a robust health record storage and management system built on blockchain technology to address the challenges faced by traditional healthcare record systems. The primary advantage of employing blockchain in healthcare record management is its ability to provide a secure and decentralized platform. Unlike traditional centralized databases, where a single point of failure can compromise data integrity and security, blockchain distributes data across a network of nodes, ensuring redundancy and resilience against cyber-attacks. This distributed nature of blockchain enhances data security and privacy, crucial considerations when dealing with sensitive health information. Central to our proposed system is the utilization of smart contracts, which are self-executing contracts with predefined rules and conditions. Smart contracts automate processes related to health record management, such as data access, sharing, and updating, based on predefined permissions and protocols. This automation not only streamlines administrative tasks but also reduces the risk of human errors and ensures data accuracy and consistency. Furthermore, our system prioritizes patient empowerment by granting individuals complete control over their health records. Patients can securely access and manage their data using cryptographic keys, granting permission to healthcare providers or other authorized entities as needed. Overall, our proposed health record storage and management system on the blockchain offer significant advantages over traditional systems, including enhanced security, data integrity, transparency, and patient control. By leveraging blockchain technology and smart contracts, healthcare organizations can revolutionize their record management practices, and maintaining secure ecosystems.

Frerich Buchholz, K. Lopatta, K. Maas

Corroborating upper echelons theory, this study picks up the notion that narcissistic chief executive officers (CEOs) take advantage of accounting choices to enhance their firms’—and inherently their own—personal track records. Using a set of 15 indicators, reflecting the narcissistic trait of 1126 CEOs for the period 1992 to 2012, we find evidence of highly narcissistic CEOs engaging in accrual-based earnings management (ABEM). In contrast to prior research, the results show evidence not only for income-increasing but also for income-decreasing ABEM. This indicates that highly narcissistic CEOs not only strive to influence stakeholders’ perception of current performance. We conclude that they also assess their potential to influence perception of current and future earnings. The results imply that highly narcissistic CEOs’ accounting choices are driven by self-serving behavior rather than by the intention to provide additional information to the market. When earnings management techniques are used to derive personal advantage from the presentation of a firm’s earnings, the literature refers to this as a case of low earnings quality reflecting unethical behavior. Accordingly, this study contributes to the field of business ethics by showing that CEO narcissism is related to low earnings quality in that it is associated to discretionarily decreasing accruals.

M. Dias, João R B Lafraia, Thiago Schmitz et al.

In this article, we investigated the existing knowledge of Negotiation aiming at mapping the evolution of the main theories up to 123 years through systematic literature review. N = 4,894 publication records were extracted from Google Scholar and Scopus through keyword searching, resulting in more than seven million citations. Based on these records, the study performed bibliometric analysis. A careful content analysis revealed that the scholarly research revolves mostly around five themes: (i) Negotiation; (ii) International Negotiation, (iii) Business Negotiation, (iv) Bargaining, and (v) Conflict Management. Furthermore, the number of citations on Negotiation more than tripled in the last two decades and might double in the coming decades. This study also suggests recommendations for future studies.

Dhiaulhaq Majeed, Havy Destiana, I. Handayani et al.

This research focuses on a food store that faces several problems, as it still uses manual methods such as a slow product ordering process. Currently, the seller has to manually determine the product price, check the stock availability, and confirm it to the customer, which causes the transaction time to be longer. In addition, there are issues with data recording errors and the risk of losing information on paper records that are also used manually. To overcome these problems, this food shop intends to build an e-commerce business through a website. The approach chosen is to utilize a content management system (CMS), specifically using WordPress as the CMS and for the method using the waterfall method. CMS allows the creation, organization, distribution, publication, and maintenance of corporate or institutional information without requiring expertise in HTML coding. WordPress is very easy to use and easy to access. The proposed solution involves analyzing business processes using the Business Model Canvas (BMC) approach and then building an e-commerce business by designing a website based on CMS, specifically WordPress. This e-commerce website will transform the conventional business model into an online business model, facilitate increased product sales, minimize data recording errors, and generate sales reports using a database for information storage. In creating a website using wordpress which is assisted by the waterfall method which hopes to have an interface and tools that can make it easier for users to use. In addition, this system will provide customers with an efficient online ordering experience and easy access to product information, thereby increasing the efficiency of the purchasing process.

Amaonwu Onyebuchi, U. O. Matthew, J. S. Kazaure et al.

Cloud enterprise data warehousing is a top level strategic business and information technology (IT) investment initiative in any organization that is technologically inclined, profit driven and customer oriented. To build the data warehouse, data are obtained from numerous heterogenous data sources, transformed, cleansed and processed into an applicable data repositories for implementation across the healthcare organizational settings. The current paper constructed an enterprise cloud data warehouse for e-healthcare organization and connected the medical/clinical workforces through the enterprise e-healthcare data warehouse and allowed the medical solutions and clinical information of all the patient to be stored. The proposed system is expected to improved the e-Healthcare information management by providing a model to support medical software automation, hardware system integration and enhances the control and management of the patients records.

Nestor Shpak, Yuryi Hurskyi

Досліджено та узагальнено складові методичного забезпечення оцінювання інструментів економічного захисту підприємств в умовах міжнародної діяльності, до яких зараховано: нормативно-правове та інформаційне забезпечення, методи та важелі впливу на суб’єктів керівної та керованої підсистеми, структурні властивості, інструментарій та порядок оцінювання. Із метою його удосконалення, у статті рекомендовано систему показників, призначену для оцінювання інструментів економічного захисту підприємств в умовах міжнародної діяльності. Вона містить сім груп показників, які забезпечують оцінку рівня інструментів фінансового, маркетингового, інформаційного, виробничо-технологічного, збутового, інтелектуально-кадрового та нормативно-правового захисту підприємств в умовах міжнародної діяльності. За результатами оцінювання встановлено залежність рівня інструментів економічного захисту підприємств в умовах міжнародної діяльності та імовірності його банкрутства.