Business Users Research Articles

Industry 4.0-based enterprise information system for P2P lending

PurposeThis study aims to deliberate and illustrate the overall peer-to-peer (P2P) business process, user requirements and design considerations under Industry 4.0 based on enterprise information system for P2P lending.Design/methodology/approachExploratory approach with a systematic literature review and content analysis method.FindingsP2P lending uses different credit audition methods and relies on information available in the system and the decision model. So IT techniques, for example, big data analysis and data mining, on credit audition are key points in P2P lending but the application of Industry 4.0 to the P2P lending landscape can yield several new benefits with a well-designed EIS, which is critical to service various stakeholders.Research limitations/implicationsThis study is exploratory in nature and may need more testing on an empirical basis before drawing generalizations. Implications of research included in this area are that it poses good challenges to researchers from different disciplines such as economics, business management and information, communication and technology.Originality/valueDeliberations of business process for P2P lending via enterprise information system under Industry 4.0 in the African context is of value as these emerging economies adopt new systems and processes to meet the requirements of Industry 4.0.

Sigma workbook

Cloud data warehouses (CDWs) bring large-scale data and compute power closer to users in enterprises. However, existing tools for analyzing data in CDWs are either limited in ad-hoc transformations or difficult to use for business users. Here we introduce Sigma Workbook, a new interactive system that enables business users to easily perform visual analysis of data in CDWs at scale. For this, Sigma Workbook provides an accessible spreadsheet-like interface for analysis through direct manipulation. Sigma Workbook dynamically constructs matching SQL queries from user interactions, building on the versatility and expressivity of SQL. Constructed queries are directly executed on CDWs, leveraging the superior characteristics of the new generation CDWs, including scalability. We demonstrate Sigma Workbook through 3 real-life use cases---cohort analysis, sessionization, and data augmentation---and underline Workbook's ease of use, scalability, and expressivity.

Spatial–temporal short-term load forecasting framework via K-shape time series clustering method and graph convolutional networks

Load forecasting, especially short-term load forecasting, is of great significance to the safe operation of power grids and power system optimization. Historical data is commonly applied in the most of existing methods of load forecasting to predict the future data in one time step, which is considered to have a positive effect on the forecasting performance. However, a serious problem is ignored, which is the assumption that the interactions between end-users are often not considered. Such interaction could be considered as a paired non-Euclidean relationship, which could enhance the accuracy of forecasting effects. In this paper, we propose a graph convolutional network prediction framework based on K-shape time series clustering method for short-term load forecasting. User clusters with similar electricity consumption habits could be separated from a large number of users by the proposed framework. Simultaneously, the paired non-Euclidean relationship between users can also be captured by this framework. The proposed framework is evaluated by the dataset of business users in the southeastern United States. The results show that compared with baselines, the framework significantly improves the prediction accuracy in any scale of user groups, as well as future data in one time step and multi-time steps.

The Secrets of Data Science Deployments

Much attention is paid to data science and machine learning as an effective means for getting value out of data and as a means for dealing with the large amounts of data we are accumulating at companies and organizations. This has gained importance with the major waves of digitization we have seen, especially with the COVID-19 pandemic accelerating digital everything. However, in reality, most machine learning models, despite achieving good technical solutions to predictive problems wind up not being deployed. The reasons for this are many and have their origin in data scientists and machine learning practitioners not paying enough attention to issues of deployment in production. The issues range all the way from establishing trust by business stakeholders and users, to failure to explain why models work and when they do not, to failing to appreciate the importance of establishing a robust quality data pipeline, to ignoring many constraints that apply to deployed models, and finally to a lack of understanding the true cost of production deployment and the associated ROI. We discuss many of these problems and we provide what we believe is a pragmatic approach to getting data science models successfully deployed in working environments.

Diagnosing Service Success and Failure Incidents in the Consumer-to-Business Sharing Economy

This study uses the critical incident technique to collect and analyze incidents of service failure and success involving a logistics sharing service in which the service providers are individuals. The authors also explore the key factors that affect customer satisfaction, along with the official and ideal recovery strategies. Data is based on interviews with 35 business users in Taiwan in 2017. A card sorting exercise is employed to classify the collected incidents and strategies into categories. The results show that the determinants of success and failure in logistics sharing services include drivers, platform operation, the matching system, and communication. Compensation is the most effective recovery strategy, whereas doing nothing is the least effective. Suggestions based on our results can help managers of the sharing economy to avoid or recover from failures and attain success.

The Effect of Brand Personality on Electronic Word-of-Mouth: Mediation of Brand Love and Moderated Mediation of Brand Experience Sharing.

The knowledge payment industry will rapidly attract many enterprises that provide knowledge services. This study investigates the interrelationship between brand personality, brand love, and electronic word-of-mouth in the context of knowledge payment. Moreover, this study explored the brand experience sharing boundary condition by adopting a survey. Firstly, the main research results show that brand personality has a significant positive impact on brand love. Secondly, brand love also has a significant positive influence on electronic word-of-mouth. Thirdly, brand experience sharing plays a positive role in regulating brand love and electronic word-of-mouth. This research promotes e-marketing by focusing on brand personality, brand love, e-word of mouth, and other perspectives to improve business operations, user experience, and engagement, providing dedicated products or services to the customer base for profit. As an emerging market, knowledge payment will attract the participation of many knowledge service enterprises.

Digital platforms for food waste reduction: The value for business users

AbstractFood loss and waste have generated environmental and social impacts around the world. One way to address this problem is to make the food supply chain more efficient through novel solutions to food distribution. A new sustainable business model called “digital business platforms for food waste reduction” is emerging to simplify the transaction and donation of food close to the expiration date, preventing its disposal and incineration. Based on multiple case studies, this research sought to answer: How do business users perceive value of digital platforms for food waste reduction? The results demonstrated that the success of a sustainable business model innovation needs to consider the user perception of value. The study reveals new sources of economic and strategic benefits and sacrifices that influence the users' adherence to digital platforms.

Platform and Device Neutrality Regime: The New Competition Rulebook for App Stores?

Among the numerous legislative initiatives implemented around the globe on digital platforms, some of these provisions are explicitly directed toward app stores. As they have all the distinctive features of multi-sided markets, app store owners represent the prototype of digital gatekeepers, controlling access to mobile ecosystems and competing with business users operating on the platforms. In light of the rule-setting and dual role of these gateway players, regulatory interventions are required in order to ensure that large app stores are treated like common carriers or public utilities, thereby imposing upon them a neutrality regime vis-à-vis new entrants. For the very same reasons, dominant app store providers have been subject to an increasing number of antitrust investigations attempting to ensure equal treatment and to avoid self-preferencing at the expense of rivals’ services. Against this background, the article investigates whether antitrust provisions are flexible enough to curb anticompetitive practices carried out by app stores and the extent to which regulatory interventions could, on the other hand, be necessary in order to address the seemingly unique features of the app economy.

Development of a Personalized Recommendation System for E-Commerce Products for Distributed Storage Systems.

Because the distributed storage system is based on network technology, it can store data in multiple independent low-cost physical storage devices, and it is also suitable for large-capacity storage, so it has become more and more popular. Today, common applications of distributed storage systems include cloud storage services, data center storage services, and P2P storage services. Typical ones are GFS, HDFS, OceanStore, and Dynamo. Due to regional and economic differences, the development level of global e-commerce (b2c) is very inconsistent. b2c contains the following key tags: buying and selling, which is the core of the website platform. E-commerce provides business users with transparent information and high-quality cheap products. Logistics is the basic guarantee for customers to execute transactions, and it is also a strict indicator of the website platform. There will be many visits during the operation of the e-commerce system, and the number of users in the early stage will increase exponentially. A safe and efficient e-commerce system can provide users with one-stop transaction support and convenient transaction processes. The personalized recommendation system has formulated some rules for certain fields, based on these rules, and defined certain types of knowledge for certain items to meet the needs of certain users and use the defined reasoning rules to generate recommendation results.

Pengembangan Sistem Informasi Kawasan Agrowisata Menggunakan Konsep Model View Control berbasis Web

The business process of selling products from the Cimanggis Village community is still conventionally with a marketing strategy of offering words of mouth through business partners such as the community, retail, and markets, and the lack of access to information about product sales can hinder the product marketing process. This study aims to create a web-based agro-tourism area information system to help BUMDes and village UMKM overcome problems in ongoing business processes. Observation and interviews are methods used to collect data (needs analysis). Meanwhile, the MVC concept and the agile software development method were used to build an information system for agro-tourism areas in Cimanggis Village. This agro-tourism area information system is tested using black-box testing. The results of this study are data on UMKM activities and business processes in Cimanggis Village, design of information systems for agro-tourism areas, and evaluation of information systems. Data on business activities and processes are displayed in the current system analysis. The design of the information system is displayed in business processes, UML diagrams, and user interface views of the information system. The evaluation results show that the agro-tourism area information system can manage transaction data and information on UMKM products and tourism services with good results.

Disagreements in cloning for business purposes

This article is a review of modification of somatic cells by nucleus transfer for multiplication mostly known as cloning, regarding ethics, governance, implications, and business usages of cloning. The article raises questions to researchers, as well as ethical and sociological considerations of current practices, through article reviews and case analysis.

SECPON: Analysis of Engineering Change Processes for Manufacturing Companies

The problem of process models in engineering change management is their static approach, which hinders enterprises from using them in daily business. The SECPON process is a standardized implementation process for engineering changes with the additional benefit of enabling users to adjust this process according to the specific requirements of their company and product. The indication that there are influencing factors on change processes is innovative for the theory of engineering change management. Additionally, special process steps for certain branches, such as the food industry, the pharmaceutical industry, the aeronautical industry, and the railway industry, are integrated. Due to the wide variety of literature and survey participants, the reference process is universally applicable. The deductive–inductive research results enable business users to apply more accurate and structured engineering change processes. Researchers profit from the successful new approach to engineering change management with the adaptive process model.

The Role of Business Intelligence in Promoting Decision-Making in Humanitarian Organizations Operating in Turkey, Orange Organization as a Sample

This study aimed to identify the relationship between business intelligence systems and the decision-making process of humanitarian organizations operating in Turkey. In this study, the non-experimental quantitative descriptive research method was preferred, which is one of the types of scientific research suitable for the aim of the current research. The number of community members surveyed as a whole was (105) and represent the number of employees in the orange organization for this, data were collected and analyzed, and hypotheses were tested using SPSS. Several tests were conducted suitable for research, including noting the correlations between the variables, in addition to looking at the averages and proving the hypotheses. After conducting the process of analyzing the study data and its hypotheses, the study reached several results, the most prominent of which are first: There is a strong correlation between business intelligence systems and the decision-making process in humanitarian organizations operating in Turkey at the level of significance α ≤ 0.05. Second: There is a positive correlation between the quality of information and the quality of systems used in business intelligence systems and both user satisfaction and perceived value and its use in humanitarian organizations operating in Turkey at the level of significance α ≤ 0.05. Third: There is a positive correlation between the satisfaction of users of business intelligence systems with regard to decision-making in humanitarian organizations operating in Turkey at the specified significance level α ≤ 0.05.

Perancangan Sistem Informasi Jasa Cuci Mobil dan Motor Doorsmeer

The purpose of the research is to design an information system for car and motorcycle washing services that will be used by doormeer business users, which is expected to assist doormeer entrepreneurs in recording every transaction, queue, payroll management and can be used with various platforms both desktop and mobile. In the process of designing an information system for doormeer car and motorcycle washing services, we use the DevOps software design method. From the results of research and observations that have been made on Doorsmeer CV. XYZ, it can be concluded that from the results of the design of an information system for car and motorcycle washing services at Doorsmeer CV. XYZ web-based parties make it easy to inform washing services that are ready to use through the ordering system. With the website, customers can access and get information and order services quickly from their homes, and can choose the services they want to use according to the customer's plan, and Applications information system for car and motorcycle washing services at Doorsmeer CV. XYZ can handle and control and supervise service transaction data, create invoices that can avoid delays and in making contract reports for each transaction activity.

Designing a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approach

Business Intelligence and Analytics (BIA) systems play an essential role in organizations, providing actionable insights that enable business users to make more informed, data-driven decisions. However, many Higher Education (HE) institutions do not have accessible and usable models to guide them through the incremental development of BIA solutions to realize the full potential value of BIA. The situation is becoming ever more acute as HE operates today in a complex and dynamic environment brought forward by globalization and the rapid development of information technologies. This paper proposes a domain-specific BIA maturity model (MM) for HE–the HE-BIA Maturity Model. Following a design science approach, this paper details the design, development, and evaluation of two artifacts: the MM and the maturity assessment method. The evaluation phase comprised three case studies with universities from different countries and two workshops with practitioners from more than ten countries. HE institutions reported that the assessment with the HE-BIA model was (i) useful and adequate for their needs; (ii) and contributed to a better understanding of the current status of their BIA landscape, making it explicit that a BIA program is a technology endeavor as well as an organizational development.

МІЖНАРОДНИЙ БУХГАЛТЕРСЬКИЙ ОБЛІК: ВИЗНАЄМО ЧИ ЗАПЕРЕЧУЄМО

The article is devoted to the author's views on the place and role of international accounting in the modern economic system of the country. It is noted that at any stage of evolution there will be a kind of problem niches that can and should be filled, especially in the theory of accounting. The issue of the possibility of working out accounting procedures in international accounting with the help of IFRS is considered. Emphasis is placed on the importance of targeted information, which can manifest itself in two main forms: semantic and pragmatic. IFRS is recognized as a target for improving accounting practices in terms of fair presentation of information in a comprehensible form. It is noted that the requirements for financial reporting change as society's demands grow. The dynamism of society subordinates the development of financial reporting to changes in economic relations between business entities, which requires targeted and reliable information. The concept of stakeholders and the theory of stakeholders, which emphasize the interdependence of business entities and users of financial reporting, that is an important component of business success, have been recognized as a modern direction in the development of financial reporting. It is recommended to recognize financial reporting as an object of institutional analysis, that develops in the context of intensifying social phenomena and institutions, which confirms the need for quality information to users in the process of providing them with relevant financial and nonfinancial information. It is noted that there is no reason to compare the recommendations of IFRS and practical methods of international accounting, the creation of which is a priori impossible. The article proves that it is not the time for actualization of the international accounting issue.

Mobility as a service (MaaS): A thematic map of challenges and opportunities

Mobility-as-a-Service (MaaS) has many advocators suggesting that it could evolve to the cornerstone of a new mobility paradigm since, in theory, it can tackle many of society's grand challenges referring to environmental degradation, increased traffic congestion and reduced accessibility. However, little evidence exists to confirm that this is achievable; in reality, a consensus is yet to be reached even in terms of what exactly classifies as MaaS and what the MaaS priorities should be. Few cities have piloted digital interface-based schemes integrating, in a holistic way, public, active, and shared use mobility services, and have measurable results about their impacts; thus, there may be a significant gap between MaaS' actuality and potential, and a need to elaborate on this dichotomy. This study is a critical narrative review of the literature that contextualises the key dimensions of MaaS and then identifies, categorises, and discusses its possible implications. These are presented in 11 diverse thematic areas mapping out the opportunities and challenges of MaaS that may possibly underpin its business establishment, functional management, user adoption and long-term sustainability.

Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation.

The purpose of this research is to analyze currently available solutions that help to monitor the global epidemiological situation, including travel restrictions, as well as proposing a new solution dedicated to users who want to keep updated with the current restrictions and COVID-19-related statistics. The analysis of existing tools is prepared from the perspective of practical usability for the end user. This paper consists of an overview of the tools and techniques of data visualization and demonstrates how to integrate them with practical business usage in a mobile application.

Understanding Data Analytics Recommendation Execution: The Role of Recommendation Quality

ABSTRACT Although significantly more organizations have recently invested in Data Analytics (DA), most business users do not execute DA recommendations. Conceptualizing the novel concept of DA recommendation quality, shaped by tool, data and analyst quality, this study draws on the Stimulus-Organism-Response framework to investigate its effect on shaping users’ perceptions of concordance, actionability, and risk, ultimately influencing their DA recommendation execution. The theoretical model is empirically validated using a sample of senior managers across North America. Enriching DA literature, this study shows that DA recommendation quality is positively associated with recommendation execution, while actionability is the dominant factor in increasing it.

Analysis and modeling the electronic document management system of ministries of Iraq

Nowadays, quantity and the volume of documents used in the modern world are growing According to the statistics; the volume of corporate e-text information is doubling every three years. Document automation market in the world increased by about 20% per year, analysts said.
 Currently, many countries in the world to create the preconditions for growth and the rapid development of this market segment constitute and implement the work of special legislative projects, which entail a more simple legalization of documents of electronic circulation.
 A question about e-services activities within different countries revealed its responses to the diversity of e-services, with 63% of the participating countries saying they started e-business services, 57.9% said they provide e-government services and 50.9% provide electronic education services, and 22.8% reported that they do not provide any of the electronic services to their citizens.
 Such acts and laws simplify operations associated with the exchange of necessary documents between government and business that contributes to good implementation of such systems in the further development of relations between these structures.
 According to Forrester Research, 38% of the Fortune 500 believe that the acquisition of modern document automation is critical for the success of their business.
 In accordance with the opinion of industry analysts, the benefits to business users when implementing the document automation sufficiently diverse. For example, according to Siemens Business Services, by using document automation.
 
 staff productivity increased by 20-25%;
 the cost of archival storage electronic documents by 80% lower compared to the cost of storage of paper archives.
 
 With the introduction of document automation acquired both tactical and strategic benefits.
 The object of scientific research is an electronic document management system.
 The subject of scientific research is a technology for modeling electronic document management systems.
 Purpose of work is development of technology implementation of the electronic document management system of the state institution of Iraq, Satisfying international standards and allowing improving the quality of the work of a public institution.
 Scientific task – the development of the model of electronic document management system, Different from the known ones according to international standards.
 The realization of the goal which accomplished by solving the following particular problems:
 
 analysis of existing electronic document management systems and their compliance with international standards; The development of a model of the electronic document management system for the state institution of Iraq;
 setting up the workflow of the state institution of Iraq, Using the electronic document management system Case.
 
 Methods for solving scientific research problems: Methods of modeling and design of electronic document management systems.
 Scientific novelty the technology of introduction of system of electronic document circulation of the state institutions of Iraq based on a universal model meeting the requirements of international standards. 
 Practical significance of the work
 Application of the proposed model of the electronic document management system will improve both qualitative and quantitative characteristics of the management system of a public institution.