Business Information Research Articles

Recommendation algorithms influencing factors on college students' continuance use intentionA S-O-R analysis based on Douyin

Nowadays, some applications are having difficulty in retaining users after pulling them in. To enhance user stickiness, algorithms are widely used by major applications due to their advantage of accurate push. Recommendation algorithms have changed the Internets business logic and information dissemination modes from pursuing "information bombing" to "precision strike". Based on the S-O-R model, this paper investigates the influence of recommendation algorithm characteristics (recommendation quality, personalization, usability, and user trust) on college students' satisfaction and continuance use intention of Douyin. Structural equation modelling analysis was conducted in this paper with the help of a questionnaire survey and partial least squares (PLS). It was found that personalization positively affects user attitude and user cognition; usability positively affects user cognition and emotional response; and user trust positively affects user attitude, user cognition and emotional response. While none of the stimuli, recommendation quality, has a significant effect on users' psychological emotions. User attitude, cognition, and emotional response all significantly affect user satisfaction, which in turn significantly affects user continuance use intention. This study provides a quantitative study for understanding user behaviors on social media platforms, and offers suggestions for the optimization of recommendation systems.

E–accounting Problems and Prospects

There has been a constant growth in the use of information and communication technology in business to support the exchange of data and information within and between organizations. New technologies, like the Internet and mobile solutions, have provided new business & employment opportunities and operations. According to IFAC, E-business is believed to have a significant impact also on accounting systems. The perceived impact is felt in the areas of storage of data, both with respect of medium of storage & volume of storage. Transfer & transmission of data with refer to speed, accuracy & availability of technology use to newer perceptions, concurrent availability of data which hither to was not so easy, more control over the affairs and so, quick & scientific decision making has become possible.

Scalable competitive intelligence education through micro-learning and micro-credentials

It is essential for students, both inside and outside the business school, to learn business information literacy skills to make ­evidence-based decisions. To address this need, faculty from a large public university developed a competitive intelligence digital module using micro-learning and micro-credentialing concepts designed to be scalable for use in many disciplinary areas. During the pilot, students in a first-year Management course and a senior capstone Engineering Technology course were surveyed to determine their perceptions of the content’s utility and usability. This paper presents the results of this survey to determine student perceptions and if there are any disciplinary differences.

Towards a smart hospital: Smart infrastructure integration

In today’s business world, digital technologies have become vital for implementing processes in any company, including the healthcare industry. By utilizing the latest technologies to collect, process, analyze, and transmit data through smart devices and IT infrastructure, it is possible to implement trends in medicine as a value approach, personalization, predictability, and participation. Considering these trends, it is necessary to develop a methodology for creating a management system for medical organizations that can comprehensively and interconnectively develop various elements of the system. This includes business process systems, information systems and application architectures, hardware, and "smart" medical equipment that can fully participate in hospital information exchange. These elements should be developed within a single model. An architectural approach can be used to create a model of a medical organization. This paper examines the integration of smart infrastructure in medical organizations, develops requirements for smart infrastructure services, and creates architectural models based on the findings and requirements. Architecture models were developed for the following elements of the Smart Infrastructure: smart wards, wearable devices and telemedicine stands as the most necessary elements in everyday healthcare. The key discovery of the study is the architecture models of the mentioned elements and their integration with the medical organization IT architecture, described in the form of visual models and data exchange tables. The proposed models can be used both for further research or for practical implementation as the reference models to check up and adopt to each individual case. The solutions proposed in the paper give an example of open innovation philosophy, as they are developed on the basis of open information about the innovation activities of various medical organizations, and, at the same, time the results themselves are openly published and open for adaptation by the scientific and practicing medical community.

Legal, illegal, either way informal: examining continuities of small-scale entrepreneurship between late socialism and postsocialism in Czechia

ABSTRACT The aim of this study is to capture the continuities and transformations of everyday small-scale business practice in the period of “long change” between late socialism and postsocialism in Czechoslovakia/Czech Republic. Both of these periods are characterized by the employment of informal and purely illegal practices, although they took on different meanings in both periods. To capture continuities and differences, we employ the concepts of field, capital and habitus developed by Pierre Bourdieu. Based on interviews with small-scale entrepreneurs active in both periods under review, we argue that informality and illicit practices in the late socialist period primarily enabled entrepreneurs to fulfil consumption needs in a dysfunctional planned economy. In this regard, small entrepreneurs were willing to use a large amount of different informal practices to achieve material goals. The article demonstrates that in the post-1989 era of neoliberal reform, small-scale entrepreneurs continued to employ informal and illegal practices as a means of “playing the system”, integrating them into their formal business efforts in order, among other things, to sustain their businesses in the face of new conditions of liberalization, increasing competition and criminality. The article thus analyses economic transformation through the tension between institutional change and continuity of social practices.

Analisis Pengaruh Keterlibatan Pengguna, Dukungan Manajemen Puncak terhadap Kinerja Sistem Informasi Akuntansi

The use of a computerized accounting information system can help in the processing of company data so that from this data it will produce information that is useful for the company. This study uses a systematic approach to review the literature. The results of this research aim to determine the influence of formalization of system development, the involvement of AIS users, to provide real experience about the use of computerized information systems can help organize business information in such a way that it produces useful information for business. This study uses a systematic literature review. The results to find out the research aimed at the results of system development, the role of users of accounting information systems, analyze the impact of accounting system performance and the user's ability to work on projects, and provide empirical evidence. This research method uses the systematic review method (SLR) to analyze journals and articles. In addition, the purpose of this study is to determine the impact of user understanding level, peak management support, and user interest in performance. By analyzing journals and articles published between 2015 and 2024, the study focuses on the impact of key management systems that help users participate in the performance of accounting systems. Fifty journals are used as sources in this journal research. The impact of the accounting information system and the user's ability depends on the business's motivation for the process. This research method uses the systematic review method (SLR) to analyze journals and articles. In addition, the purpose of this study is to determine the impact of user understanding level, peak management support, and user interest in performance. An analysis of journals and articles published between 2015 and 2024, focusing on the influence of senior management on user participation in the performance of accounting systems, Fifty journals were used as sources in this journal study.

Teaching Reform and Exploration of Practical Courses Based on Programmable Control

As the country continues to promote the development of intelligent manufacturing, all industries are carrying out enterprise automation upgrading, the Pearl River Delta Intelligent Manufacturing Conference held in March 2024 provides a direction guide for each enterprise on how to integrate the intelligent manufacturing technology into each link and provide direction guidance for enterprises to create new models and new business formats. College teachers, in focusing on the teaching process, should closely match the enterprise and social needs and cultivate excellent students. As the core controller of automation control, the application of programmable controllers in teaching is particularly important. In practical classes, by setting progressive difficulty, project guidance, team collaboration, and other links, students can master the automation equipment design of programmable control in repeated practice.

IMPACT OF SOCIAL CAPITAL ON PERFORMANCE OF INFORMAL SECTOR FIRMS: EMPIRICAL STUDY USING INDIAN FIRM DATA

Informal sector enterprises are the businesses that do not registered under the government and therefore not entitled for taxations. Social capital refers to the human networks and relationships people often maintain on their development. Three main types of informal businesses considered in this study are manufacturing, reselling and provision of services. They play a significant role in contributing to the global economy especially in developing countries. The study aimed to examine the impact of social capital on informal businesses. The study further explores the mediating effects of Covid pandemic and female ownership on the informal business performance. Secondary data for the study was obtained from World Bank Enterprise Survey website and the dataset was selected in the Indian context as India is one of the leading countries in South Asia where informal businesses have closer proportion of national economy. Dependent variable, informal business performance was measured in terms of profit and total sales, whereas the independent variable, social capital was measured using a self-developed scale by the author. Multiple regression, instrumental variable regression and censored regression (tobit) models have been used in analysis. The STATA version 11.1 is used as the statistical tool. The regression results show a strong positive relationship among the social capital and informal business performance, while the mediating effect of the global pandemic and female ownership on informal business performance were not significant.

Nhân tố ảnh hưởng đến quyết định ứng dụng Blockchain vào quản trị chuỗi cung ứng của doanh nghiệp nhỏ và vừa tại Việt Nam

This study aims to evaluate the factors affecting the decision to apply Blockchain technology (BT) to supply chain management (SCM) for SMEs in Vietnam. By surveying 514 leaders and managers of businesses, the authors performed descriptive statistics using SPSS 26 software, and the measurement model and structural model PLS-SEM were evaluated using SMARTPLS 4 software. The results of the study show that the factors affecting the intention to apply BT to make the decision to apply this technology to SCM of their business, including: (1) Technological readiness, (2) System compatibility, (3) Perceived usefulness (Relative advantage), (4) Complexity, (5) Security and privacy, (6) Cost, (7) Organizational readiness, (8) Legal and policy of Government support, (9) Competitive pressure. Based on the study, the authors proposes a number of implications to provide useful information for businesses and stakeholders in Vietnam to make informed decisions to applying BT to SCM.

Analysis of Factors Influencing Fire Accidents in Commercial Complexes Based on WSR-DEMATEL-ISM Model

Commercial complexes integrate various business formats, and a fire outbreak can lead to widespread, continuous, and chain-reaction social disturbances, including severe casualties, economic losses, and social impacts. To deeply explore the characteristics and influencing factors of fire accidents in urban commercial complexes in China, this study first analyzed fire accident cases in commercial complexes that occurred from 2002 to 2022. Using mathematical statistics, the analysis examined the year and month of the accidents, their severity, and their causes to identify key risk factors associated with fire hazards in urban commercial complexes. Subsequently, based on the WSR methodology, an index system for assessing the influencing factors of fire accidents in commercial complexes was constructed, encompassing four aspects: personnel, equipment, environment, and management, including 11 cause indicators and 9 outcome indicators. Then, the Decision Experiment and Evaluation Laboratory Method (DEMATEL) was used to quantitatively analyze the relationships among influencing factors, combined with Interpretative Structural Modeling (ISM) to perform a hierarchical categorization of the factors and identify those critically influencing commercial complex fires. This research indicates that critical influencing factors include inadequate regulations, insufficient fire safety inspections, inadequate safety training, careless use of fire during operations, inadequate government supervision, illegal renovations, unimplemented corporate fire safety responsibilities, and poor routine maintenance and management. These results provide a theoretical reference for effectively preventing and controlling fires in commercial complexes.

دراسة تحليلية لسلوك المستهلك في الأسواق الحديثة

Quantitative research methods are crucial in understanding consumer behavior in modern markets. These methods involve collecting and analyzing numerical data to uncover patterns, trends, and correlations related to consumer preferences and choices. Researchers can gain insights into consumer identity, values, taste, consumption experiences, and even topics such as invisible brands, material culture, and fetishes in contemporary consumption by utilizing statistical models. Additionally, quantitative research methods allow for the examination of consumer sentiment, brand engagement, and market maven behavior, providing valuable information for marketers and businesses. The application of quantitative research methods in consumer behavior studies not only enhances our understanding of consumer preferences but also enables the integration of past findings with new observations, driving advancements in the field of consumer research. This integration is essential for effectively capturing the dynamic nature of consumer behavior, especially in response to global events and societal changes.

Thematic modeling and linguistic analysis of text messages from a social network for information and analytical support of logistics business

In the modern economy, the success of a business is largely determined by the company’s ability to analyze consumer preferences, consumer attitudes towards the company’s products, as well as the ability to quickly respond to changing preferences or negative trends. Social listening is a technology for analyzing conversations, text messages and any kind of mention of a company, its products or brand. Currently, it is most effective to carry out social listening by monitoring social networks (VKontakte, etc.), which are the largest sources of text messages from millions of users. The purpose of this work is to analyze the practices of using social listening technology, as well as common approaches to the use of social networks by domestic and foreign companies. Based on the specialized software developed by the authors, an analysis of more than 50 000 news reports published in 2021–2024 was carried out on companies of different levels and specialization. Using linguistic analysis of the corpus of text messages for various companies and sectors of the economy, the most common words were identified, thematic modeling was carried out, and the dynamics of news reports and their relationship with external factors were studied.

METHODOLOGY FOR IMPROVING THE CYBER THREAT PROTECTION SYSTEM

The article presents the results of a study of the enterprise information security system and the development of proposals for its implementation. The article considers security as a system that includes tools and processes used by organizations to protect information. This includes policy settings that prevent unauthorized persons from accessing business or personal information. Information security is positioned as a growing and developing industry, covering a wide range from network and infrastructure protection to testing and auditing. The article analyzed IT products designed to ensure information security that are used in small and medium-sized businesses, explored problem areas and current applications that entrepreneurs use. One of the most pressing problems in the IT industry today, in the era of big data, is the rapid growth of the volume of unstructured content. Virtually every corporate data center (Docs) has file servers, corporate portals, Microsoft Exchange folders, network and cloud storage locations that contain many documents, including the content of important information. In addition, the repeated increase in volume and the growing variety of information stored and processed significantly complicates the task of managing this data.

Business resilience strategies for informal traders in the post-COVID-19 pandemic era in Gweru, Zimbabwe

Purpose: The informal trading business is a springboard for employment and poverty reduction, even during disruptions, such as those brought about by the COVID-19 pandemic. Accordingly, this study examines the business resilience strategies adopted by informal traders to improve their livelihoods in the post-COVID-19 pandemic era in Gweru, Zimbabwe. Research methodology: An exploratory research design underpinned this study’s data collection and thematic analysis approaches. Thirteen purposively sampled participants participated in face-to-face in-depth interviews. Findings: Participants identified social networking, consignment sale agreements, business analysis, and financial capital boost as some of the business resilience strategies used by both male and female traders to improve their livelihoods in the post-COVID-19 pandemic period. Limitations: The study used a qualitative approach, whose findings could not unravel all resilience strategies adopted in the post-COVID-19 era in the whole country, as a study using a quantitative methodology could have. Accordingly, the study’s results are limited as they cannot be generalized to other cities. Contribution: This study incorporates informal traders’ business resilience strategies adopted in the post-COVID-19 pandemic era to sustain livelihoods and fight poverty and hunger. These strategies have not yet been used to explain the sustainability of livelihoods in post-pandemic disruptions. Novelty: Despite the COVID-19 pandemic’s disruptions, the resilience strategies adopted by informal traders enabled them to sustain their livelihoods and mitigate poverty and hunger. Consequently, the applicability of the sustainable livelihood approach has broadened in emerging economies.

İncir Üretiminde Risk Kaynakları, Aydın ili örneği

Amaç: Bu araştırmanın temel amacı, incir üreten çiftçilerin karşılaştıkları risk kaynaklarını belirlemek, bunları önem derecesine göre sıralamak ve birbiri ile olan ilişkilerini analiz etmektir. Tasarım/Metodoloji /Yaklaşım: Bu araştırma Aydın ilinde faaliyetlerini sürdüren 101 incir üreticisi ile yapılan anketlerden elde edilen verilere dayanmaktadır. Araştırmada çiftçilere ait risk kaynaklarının varlığı faktör analizi yardımıyla açıklanmıştır. Ayrıca DEMATEL yöntemi kullanılarak risk faktörleri önem derecesine göre sıralanarak birbirleriyle olan etkileşimleri keşfedilmiştir. Bulgular: Araştırmada belirlenen 9 faktör önemine göre iklim, üretim, piyasa, gıda güvenliği, işletme, arazi, pazarlama, toprak ve teknik bilgi riskleri şeklindedir. İklim, piyasa, arazi ve teknik bilgi riskleri diğer risk faktörlerini önemli derece etkilemektedir. İklim riski tüm diğer riskleri etkilerken, pazarlama riski tüm risk faktörlerinden etkilenen konumdadır. Özgünlük/Değer: Bu araştırmada incir üreticileri için özgün bir yöntem kullanılarak kapsamlı bir risk analizi oluşturulmuştur. Böylece bu alandaki literatürün gelişimine önemli bir katkı sağlanmıştır. Sosyal çıkarımlar: Sonuçlar incir üreticilerinin risk faktörlerini daha iyi yönetmek için sürdürülebilir üretim, tarım sigortası ve yayım hizmetlerine ihtiyaç duyduğunu göstermektedir.

Application of Business Information Management in Cross-border Real Estate Project Management

Cross-border real estate project management is inherently challenging due to its complexity and diversity. This study investigates the efficacy of business information management systems (BIMS) in managing such projects and employs machine learning models for performance prediction analysis. Utilizing data from 250 valid questionnaires and 15 in-depth interviews, multiple regression analysis, classification algorithms, and clustering analysis models were applied. The results indicate that system quality, information quality, and service quality significantly enhance project management efficiency and user satisfaction. Specifically, the adoption of BIMS reduces average project completion time and cost overrun rates, thereby improving management effectiveness. Commercial real estate projects reported the highest average investment at $70 million, mixed-use projects exhibited the longest average completion time of 25 months, and residential real estate projects achieved the highest management efficiency score, averaging 8.0. The regression model's coefficient of determination (R²) was 0.68, the classification model achieved an 85% accuracy in identifying risk factors, and clustering analysis categorized projects into high-efficiency management, risk-concentrated, and resource-intensive types. These findings underscore the substantial value of BIMS in cross-border real estate project management, providing robust management tools and decision support. However, the study's limitations include a small sample size and restricted data sources. Future research should aim to expand the sample size and incorporate more diverse data sources to enhance the findings' generalizability and accuracy.

Dampak Dinasti Politik Terhadap Culture Demokrasi Pancasila di Indonesia

Abstract This article examines the development of political dynasties in Indonesia and their impact on Pancasila democracy. The phenomenon of dynastic politics at the local level, which is increasingly prevalent in various regions of Indonesia, is the background of this discussion. The emergence of politics under this dynasty presents various positive and negative aspects, which reflect the dynamics of the political culture of Indonesian society in politics and democracy. Families maintain power by placing their members in strategic positions in the formal (government) and informal (business or project) sectors. The history of Indonesian governance shows the existence of political dynasties that last for years. If not addressed, these political dynasties can flourish, creating pros and cons amidst the implementation of Pancasila democratic governance. This research aims to explore the implementation of governance in Indonesia and understand how political dynasties affect the development of Pancasila democracy in the country.

Analysis of the key factors for small and medium-sized enterprises growth using principal component analysis

Small and Medium-sized Enterprises (SMEs) significantly contribute to national economic development worldwide. However, numerous factors affect the growth of SMEs, particularly in developing economies. Due to the complexity of these variables, it is challenging to determine where to begin improving SMEs. This study aims to identify and analyse the factors that hinder the overall performance of (SMEs) to gain insights into the principal variables constituting problems. A literature survey identified and abstracted 36 variables that influence SME growth. A structured questionnaire was created using the variables and administered to the respondents in the SME sector. We collated and converted the respondents' scores into primary data. The data was analysed using Kendall's Coefficient of Concordance (W) and Principal Component Analytics (PCA) tools, and the results were presented. The result of Kendall's Coefficient of Concordance analysis was (W) = 0.52, indicating that the judges strongly agree that the 36 variables affect SME growth. The PCA analysis identified the critical variables affecting SME growth. These variables, along with their corresponding factor loading, include Marketing information = 0.80, Cost of transportation = 0.81, Information technology = 0.83, Economic initiatives = −0.83, Financial constraints = −0.80, Cultural change = 0.80, Technical know-how = 0.822, Economic factors = −0.80, and Business information system = 0.813. The implication of the study's findings for management is that SMEs should begin process improvement for effective overall performance by addressing the problems associated with the critical variables. The perceived limitation of the study is that the respondents' opinions may not reflect 100 % of the opinions of the unsampled population in the SME sector. This study's originality includes (i) holistic documentation of the myriad of variables influencing SMEs, which are fragmented in the literature, and (ii) pinpointing the critical variables affecting SME development with measurable evidence not found in the literature.

A Deep Learning-Based Method for Preventing Data Leakage in Electric Power Industrial Internet of Things Business Data Interactions.

In the development of the Power Industry Internet of Things, the security of data interaction has always been an important challenge. In the power-based blockchain Industrial Internet of Things, node data interaction involves a large amount of sensitive data. In the current anti-leakage strategy for power business data interaction, regular expressions are used to identify sensitive data for matching. This approach is only suitable for simple structured data. For the processing of unstructured data, there is a lack of practical matching strategies. Therefore, this paper proposes a deep learning-based anti-leakage method for power business data interaction, aiming to ensure the security of power business data interaction between the State Grid business platform and third-party platforms. This method combines named entity recognition technologies and comprehensively uses regular expressions and the DeBERTa (Decoding-enhanced BERT with disentangled attention)-BiLSTM (Bidirectional Long Short-Term Memory)-CRF (Conditional Random Field) model. This method is based on the DeBERTa (Decoding-enhanced BERT with disentangled attention) model for pre-training feature extraction. It extracts sequence context semantic features through the BiLSTM, and finally obtains the global optimal through the CRF layer tag sequence. Sensitive data matching is performed on interactive structured and unstructured data to identify privacy-sensitive information in the power business. The experimental results show that the F1 score of the proposed method in this paper for identifying sensitive data entities using the CLUENER 2020 dataset reaches 81.26%, which can effectively prevent the risk of power business data leakage and provide innovative solutions for the power industry to ensure data security.

Implementasi ERP Odoo untuk Peningkatan Sistem Informasi Bisnis Perusahaan menggunakan Metode Accelereted SAP

The development of information technology in the business world is important for companies, one of which is the development of information systems in solving problems and managing various business transactions. Implementing ERP in companies is one of the developments in business information systems. This research aims to implement the Odoo ERP system business processes to improve the company's business information system so that work can be more efficient and integrated in one business process. The Odoo application was implemented using the Accelerated SAP method starting from the project preparation phase to the final preparation phase. Analysis was carried out by observation and interviews. This research involved 1 Acount Recevaibel staff member, and 1 HRD at PT Tiara Fajar Transportindo as research subjects. System testing using black box is carried out to minimize errors in the functions used.. The findings show that the document module, recruitment module and employee module in the Odoo application can be used as an update to the existing business system. Testing in black box tasting shows that the system is in accordance with expectations. Therefore, implementing the Odoo application is suitable for use at PT Tiara Fajar Transportindo.