Business Information Management Research Articles

Towards Community Collections Management

Collections Management Systems (CMS) are central to the operation of many natural science collections. Over the past few decades, these have evolved from simple tables and databases recording the contents of our collections, to take on multiple roles supporting complex business processes and information management needs within our organisations. These new functional demands have often outpaced the technical development of these systems and organisational capacity to sustain them. Furthermore, their contents essentially remain institutional silos, managed and controlled by single institutions, despite servicing data and a scientific mission that is shared across the global community. The Natural History Museum, London (NHM) has recently embarked on a journey, working with peer institutions and external consultants, to develop a platform-agnostic set of requirements for a sustainable, scalable and interoperable CMS. The vision of a highly efficient, more flexible and connected solution that can engage with other collections-based organisations and stakeholders is not unique to the NHM, and working with others, including the developers of other CMS, we seek to generate a better understanding of shared collection management business processes, data and data models. To achieve these goals, a dedicated year-long programme has been formed to address the many facets of a collections management system specification (requirements, processes, standards, models and compliance), and to engage the landscape of internal and external peers, stakeholders and CMS providers. In this presentation, we will provide some background to explain how the NHM has arrived in its current position and discuss our vision for building on the discussion around existing standards, interoperability and data access. We will summarise the programme’s structure and plans, report on the progress of the first few months, and highlight any challenges encountered and solutions delivered.

SISTEM INFORMASI MANAJEMEN USAHA J PARFUM

A perfume is a shop that specializes in selling perfume in the city of clay. Processing data on sales, purchases and making reports on J perfume is still done manually, so the process of recording transactions and making financial statements is less efficient. So that in this study aims as an application that can simplify the store in managing all the sales transaction data, purchases and financial reports needed. In this study the data collection methods used were observation, interviews and literary studies, and UML (Unified Modeling Language) as a model that uses the concept of Object Oriented Programming (OOP) to facilitate researchers in building systems and in helping implement this research. With the implementation of this perfume J business management information system, it provides convenience to the store in managing all transaction data and financial laopran and is more effective and efficient.

A study on stakeholder’s satisfaction of using Education Business Management Information Systems (EBMIS) tool in the University of Rwanda

A study aimed to investigate the role of the Education Business Management Information Systems (EBMIS) tool plays in the operation and management of the University of Rwanda focusing on staff and students. We carried out a mixed-method study in five colleges of the University of Rwanda including headquarters targeting students and staff. On the one hand, the study finds out that through EBMIS, timely application and registration online were good services whereby 25.7 % of students and 27% of staff were satisfied with the services respectively. The 10.7 % of students highlighted that Information technology is able to check the history of the payment process of tuition fees and 8.8% were able to access the passing modules. In addition, 55.8% of students failed to use the system during registration and application during holidays. Consequently, students come to the registration offices for assistance by staff in each college, which is costing, and time-consuming. On the other hand, the majority of staff met the difficulties of using the EBMIS to render services in between as well as to the students due to the low skills on the system. Therefore, the students’ big lines in front of offices such as offices of Collegesꞌ registrar and repeatable claims from students are still unavoidable. Hence, the use of EBMIS is not common practice in the whole services of the colleges in University of Rwanda. About, the knowledge gap, 56 % of staff do not know Information Technology System and hence 77% have not been trained at all on Information Technology System, among the trained staff, 55.1 % used at least 20% of EBMIS. The findings of the study showed that the Information Technology System is under exploitation at the University of Rwanda. However, the management of all data information from merged colleges is still critical due to the lack of technical skills and knowledge among users. Although, the University of Rwanda supports students and staff to explore this system through pieces of training in-country and abroad. Yet, there is still a big gap in skills of efficiency using the EBMIS and therefore, its productivity is still sub-standard.
 Keywords: Information Technology (IT), students, staffs, service delivery, operation

Informational Resources for Innovations in Engineering Education

The high growth rates of digital data induce enterprises and organizations to pay more attention to information management. This is reflected in proper standards, frameworks and other normative and guidance documents. In these conditions the tasks of building the competencies of the specialists in managing business information and implementing the relevant training programs for engineering personnel are shown to be very relevant for developing the innovative economy. The list of information management standards is given, and the BiSL framework is highlighted to be important in outlining on the macrolevel the range of professional competencies of the personnel involved in information management processes. Since both Russia and Kazakhstan do not have yet full-fledged and thoroughly practice-approved competency standards for business information management specialists working in various applied fields, it is proposed to use European experience in creating a unified framework of professional ICT competence when developing educational programs. The determining role of world informational resources and technologies for their use in forming the basic infrastructure of innovations is substantiated. The informational resources specific to various staged of the innovation life cycle are characterized. The concise description of the project for creating the system of innovation informational support in the Republic of Kazakhstan is given. The requirements to the metainformation database containing descriptions of the informational resources are formulated. The introduction is given to the metadata format based on the «Dublin Core» which defines the composition and semantics of data elements. Within the framework of the system being developed it is proposed to build a procedure for searching the relevant information based on the use of production models.

Online social networking websites in innovation capability and hotels’ performance in Malaysia

论马来西亚在线社交网络网站在创新能力和酒店绩效的作用摘要研究目的本论文旨在研究社交网路网站（SNWs）通过创新对于酒店绩效的作用, 这点在新兴国家还属于发展阶段。研究设计/方法/途径采样方法为随即问卷, 采样地点在马来西亚4-/5-星酒店, 样本数据采用结构方程模型的方法进行分析。研究结果本论文结果肯定了SNWs对于创新能力的积极作用, 同时, 创新能力起到SNWs和企业绩效关系的全中介作用。此外, SNWs和创新之间受到吸收能力的部分中介影响。研究原创性/价值本论文诠释了在线社交网络网站通过商业智能和信息管理对于提高创新能力以及提高酒店绩效的重要作用。本论文还展示了在线社交网络网站如何提高吸收能力和信息管理的方法。关键词社交网络、网站、创新、吸收、能力、绩效、酒店论文类型研究型论文

Modeling uncertain data using Monte Carlo integration method for clustering

Nowadays, data clustering is an important task to the mining research community since the availability of uncertain data is increasing rapidly in many applications such as weather forecasting, business information management systems. In this work, proposed Monte Carlo integration based uncertain objects modeling technique is compared with three state-of-the-art methods namely, kernel density estimation, Dempster–Shafer, and Monte Carlo simulation. Then Kullback–Leibler and Jeffrey divergences are used to measure the similarity between uncertain objects and merge them with modified DBSCAN and k-medoids clustering algorithms. A heuristic algorithm is proposed to find the optimum radius, which is one of the inputs of DBSCAN. All the experiments are performed on one synthesized dataset and three real datasets namely, weather data, Japanese vowels and activity of daily living data. Five performance measures namely, accuracy, precision, recall, F-score, and Jaccard index are considered for comparing proposed method with state-of-the-art methods. Two non-parametric tests namely, Wilcoxon rank sum and sign test are also conducted. These results denote the effectiveness and efficiency of the proposed method over state-of-the-art methods.

An Essential Review of Internet Banking Services in Developing Countries

Abstract In the absence of a literature review for an adoption of internet banking in developing countries, this study was conducted to review and summarize the most evaluated articles in the literature. The significance of this work came from three concepts which are to highlight the concepts of research in developing countries, to accentuate the dominant models which have been used effectively in analyzing the constructs in adopting internet banking, and thirdly, to shed some light on the gaps in the potential applications for the system in the future. The Technology Acceptance Model, Theory of Reasoned Action, Theory of Planned Behaviour, Unified Theory of Acceptance and Use of Technology and Self Designed models have been used by most of the researchers in this review with a higher frequency of the Technology Acceptance Model among them. The results from this review are limited to 28 articles which were selected from a total of 110. The sources were from the search engines of Science Direct, Emerald Insight, Growing Science, International Business Information Management Association and Canadian Central of Science and Education and other different types of journal publications. The factors revealed to have important effects on the acceptance and adoption of the system were trust, perceived ease of use, and perceived usefulness, security and privacy and social influences.

Digital Enterprise as an Innovative Component of the Economy

In recent years the range of the newest business management information tools has considerably expanded, management technologies in use are becoming digital. The constantly growing layer of digital economy is formed, more and more enterprises are digitizing their business processes. The article reveals the stages of enterprises’ evolution – from mechanized to digital. The features of enterprises’ business processes digital transformation are described. The directions of information technologies use at enterprise’s business processes realization are investigated. The practical realization of capital construction system digitization in the part of project and estimation documentation management system on the basis of electronic archive creation is considered. This is especially important for enterprises with long or continuous cycle. Realization of these technologies allows providing quick search of documents by name, to reserve archive in shorter terms. In addition, the quality of management decision making is improved due to the efficiency of presentation, completeness, reliability and convenience of information display formats, an automated system of project document circulation is created, Efficiency of business processes performance is increased by means of non-productive and duplicative, “manual” operations reduction, optimization of process participants’ information interaction. In the future this will allow using complex business processes’ information and analytical support of the enterprise as a whole.

The emerging big data analytics and IoT in supply chain management: a systematic review

PurposeThe purpose of this study is to provide insights into the way in which understanding and implementation of disruptive technology, specifically big data analytics and the Internet of Things (IoT), have changed over time. The study also examines the ways in which research in supply chain and related fields differ when responding to and managing disruptive change.Design/methodology/approachThis study follows a four-step systematic review process, consisting of literature collection, descriptive analysis, category selection and material evaluation. For the last stage of evaluating relevant issues and trends in the literature, the latent semantic analysis method was adopted using Leximancer, which allows more rapid, reliable and consistent content analysis.FindingsThe empirical analysis identified key research trends in big data analytics and IoT divided over two time-periods, in which research demonstrated steady growth by 2015 and the rapid growth was shown afterwards. The key finding of this review is that the main interest in recent big data is toward overlapping customer service, support and supply chain network, systems and performance. Major research themes in IoT moved from general supply chain and business information management to more specific context including supply chain design, model and performance.Originality/valueIn addition to providing more awareness of this research approach, the authors seek to identify important trends in disruptive technologies research over time.

Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

МАРКЕТИНГ ТЕРРИТОРИЙ: ОГРАНИЧЕНИЯ ПРИМЕНЕНИЯ В РОССИЙСКИХ УСЛОВИЯХ

The article investigates the restrictions to apply marketing concept at the territorial level of the domestic economy. The conceptual basis of the territorial marketing, its peculiarities and perspectives for its improvement in Russia have been considered. The methodology is based on the use of the systems, problem and SWOT-analysis, which have revealed that one of the strengths of territorial marketing in Russia includes the acknowledgement to apply the territorial marketing at the national (federal) level and that there is a tendency to strengthening of inter-regional competition. Weaknesses of Russian territorial marketing are the directive and formal attitude, as well as the prevalence of regulatory mechanisms in the operation areas. Threats of the territorial marketing in Russia are primarily related to the negative external economic situation caused by the imposed sanctions. The results of the study have shown that Russian economy is characterized by significant difficulties in practical implementation of the marketing concept. These challenges are related to the standardization of regional proposals (roughly the same quality of infrastructure), the predominance of regulatory mechanisms in the process of main regional byproducts pricing, unreasonable restriction of the consumer target groups in regional megaproduct, and the exclusion of a private sector from the process of a region promotion. An advanced model of territorial marketing has been suggested according to the revealed restrictions in Russia. The obtained results are planned to be used in the subsequent work out of the applied territorial marketing concept that will include a package of measures to enhance socio-economic processes in regions, to produce a positive image of a region and to create favorable conditions for sustainable regional development. Keywords territorial marketing, regional economy, inter-regional competition, marketing mix, government regulation, market mechanism, SWOT-analysis, marketing model of a territory.

전자증거개시상의 위험에 대응한 기업기록정보관리 방안

전자증거개시상의 위험에 대응한 기업기록정보관리 방안

Analytical Business Model for Sustainable Distributed Retail Enterprises in a Competitive Market

Retail enterprises are organizations that sell goods in small quantities to consumers for personal consumption. In distributed retail enterprises, data is administered per branch. It is important for retail enterprises to make use of data generated within the organization to determine consumer patterns and behaviors. Large organizations find it difficult to ascertain customer preferences by merely observing transactions. This has led to quantifiable losses, such as loss of market share to competitors and targeting the wrong market. Although some enterprises have implemented classical business models to address these challenging issues, they still lack analytics-based marketing programs to gain a competitive advantage to deal with likely catastrophic events. This research develops an analytical business (ARANN) model for distributed retail enterprises in a competitive market environment to address the current laxity through the best arrangement of shelf products per branch. The ARANN model is built on association rules, complemented by artificial neural networks to strengthen the results of both mutually. According to experimental analytics, the ARANN model outperforms the state of the art model, implying improved confidence in business information management within the dynamically changing world economy.

Research on Integrated Management and Distribution Based on GIS Business Information Platform

For a long time, grassroots power supply and distribution of enterprise business management information system is mainly their respective construction, independently running, reaching the job site and then filled out, and came back the relevant information into the computer and stored in the relevant paper materials. Information fragment result in an information shield plug and is unable to provide a more efficient service. The use of management and distribution with an integrated operating mode is a good solution to these problems. In this paper, in terms of configuration, the product value allocation of internal resources, analyzes the advantage of use of management and distribution with the integration and concluded with one based on GIS construction application system platform will effectively improve the distribution network operation and management of business requirements, providing IT support for the operation of the distribution network using modern management tools, which will help improve the level and efficiency of the distribution network operation and management, improve customer satisfaction and customer service levels, improve customer reliability.

From Information to Knowledge: Business Intelligence Usage and Perspectives

A lack of quality data is one of the managing problems. It does not mean that they do not exist, but on the contrary, we are usually swamped with unnecessary information. The problem is how to extract the essential data for decision-making from the large amount of data. The data are the part of the organization's assets and, together with the capital and human resources, are an important part of the overall competitiveness. New technologies to support taking the correct and valid conclusions from the enormous amounts of data are created every day. Business intelligence and knowledge management are indispensable elements of successful business systems and public administration strategy. The concept of business intelligence or business information management is one of the modern systems that offered the possibility of a comprehensive and efficient usage of information. The concept of business information management also provides usage of the remaining collected data and converting them into useful information and knowledge. The information technology development in recent years provides the ability to store large amounts of information at lower costs, and people share their knowledge and jointly and interactively work at large distances. If we take into account the aspirations of Bosnia and Herzegovina toward accession to the EU, the concept of business intelligence is even more important as our systems can be connected with the systems at the European Union level, or the public administration interoperability in the European context can be achieved. Goal of the paper is to review the notion of business intelligence, and to assess the level of business intelligence usage in the public organizations in Bosnia and Herzegovina.

A Study on Approch Method of the Manufaturing Informatization for Semi-Companies

In this study, we introduce new methods to informationize small-sized enterprises to strengthen their competitiveness. First, we examine SME information management Status and analyze why small businesses are not informationized. There are some problems why small businesses are not informationized. With those problem, we think about the application developing method of an individualized approach to cell unit and LEGO-style modular ICT method. Also we conduct these method to verify their effects and advantages in the real case. That practice results in lower cost, better effects and advantages than existing methods, especially for the sustained utilization. Small-sized business information management will be vitalized by cost reduction of APP development and using former infra instead of extra expert.

Research on the Design and Realization of Supervision and Business Management Information System

The information system of construction market supervision and business management based on Web includes three subsystems, which are construction market supervision, management of bid and tender for construction project, and application of construction project and this thesis adopts the combinative method of prototyping and structured life cycle to develop and study on the information system. First, it integrally plans and lies out by adopted structured method. Then, it analyzes the mode and content of construction supervision, and the flow of construction business and construction project application, gives the prototyping system of them. Then it considers the requirement and function demand of the users, improves the prototyping system, establishes a scientific flow, and analyzes its data flow. And then, it designs the integral structure of the system by adopted system structure based on Web, designs the network structure by adopted three layer B/S distributing system, and gives the detailed design of the code, database, input and output of the system. Finally, it gives the technical demand of the build of the integral network system, gives the demand of the software and hardware system structure, and displays the windows of the main function of the system.

Cognitive systems for intelligent business information management in cognitive economy

This paper will present new theoretical and applied solutions for intelligent data analysis and information management in the fields of cognitive economics. Intelligent data analysis and information management are performed by information systems called cognitive systems, dedicated for semantic interpretation of acquired business information. To interpret the meaning of the analysed data, complex linguistic algorithms must be used, based on which it is possible to find the core information elements for business processes forecasting and economical knowledge management. The presentation of selected methods of semantic data analysis in cognitive economy, which allow to perform both local and global information management forms the main subject of this paper. Here, semantic analysis methods are dedicated to cognitive economics problems, namely the interpretation, analysis and assessment of the meaning of selected sets of economic/financial ratios. The meaning of the interpreted data sets is assessed by analysing the layers of meaning contained in data analysed sets. Obtained semantic information may be used in future business processes evaluation and forecasting.

Data Mining in Animal Husbandry Decision Support System

This paper based on the actual needs of the current animal husbandry information management, with reference to the actual development of the situation and the various existing information decision support system for animal husbandry management, animal husbandry production in the existing management information systems, management information systems and other prairie feed business management information system as the basic data sources in order to achieve integrated management of farm animal husbandry information and data mining objectives by using data mining techniques to construct a set of B / S structure of decision support systems. Considering some of today's more popular data mining methods, combined with the actual situation of animal husbandry decision support system to determine the practicality of the system using a prototype development methodology and life cycle the Combination. This development based on a detailed design plan, dividing each module to determine the functional modules. Each functional module with independent design principles, gives details of systems analysis and design features of each module, developed based on data mining animal husbandry decision support system.

EL CONTADOR PÚBLICO GESTOR DE INFORMACIÓN ESTRATÉGICA EN LOS NEGOCIOS INTERNACIONALES: PERÚ Y ASIA PACÍFICO

Las relaciones empresariales con Asia Pacífico registran significativo incremento, el cual representa oportunidades de desarrollo para el Perú, si se estima que los próximos veinte años, China puede convertirse en la mayor economía del mundo. Sin duda existe potencial en los negocios internacionales, para lo cual es esencial desarrollar y habilitar instrumentos de toma de decisiones gerenciales, tomando como base la información contable y financiera. Ambos países, han adoptado o están adoptando Normas Internacionales de Información Financiera, este proceso implica riesgos en implementación de las NIIFs y en la gestión de la información empresarial. En este escenario internacional resulta relevante aspectos sociales, culturales, políticos y tecnológicos, que distinguen a la forma de hacer negocios en el Perú de los que se aplican en China. Este trabajo busca identificar los retos para la profesión contable y en la gestión de la información económica, financiera y estratégica, que resulten de un incremento en los negocios internacionales entre Perú con Asia Pacífico. El diseño de la investigación es descriptivo y de análisis, utilizando información e instrumentos normativos relacionados con normas internacionales de información financiera y competencias.