Trends In Information Technology Research Articles

Construction of Ecological Environment Information System Based on Big Data: A Case Study on Dongting Lake Ecological Area

With the rapid development of cloud computing, Internet of Things, and other technologies, the information technology trend led by “big data” has an impact on all fields. The application of big data technology in the field of ecological environmental protection enables accurate and comprehensive ecological information collection, data analysis, and mining, accurate ecological problem identification, and effective solution. Taking Dongting Lake Ecological Area as an example, this paper constructs an ecological environment information system based on big data and expounds its specific application in water, atmosphere, soil environment monitoring, and pollution control, aiming to provide a reference for the application of big data technology in the field of ecological environment protection in Dongting Lake Ecological Area and more effectively maintain the ecological environmental quality and safety in the area.

Desain Panduan Audit Tata Kelola Sistem Informasi Boost The Order (SIBORDER) di PT Telekomunikasi Indonesia Menggunakan COBIT 2019

PT Telekomunikasi Indonesia Tbk (Telkom) is engaged in information and communication technology and network services. Information technology (IT) plays an important role in PT Telkom's business processes, so it needs to be managed using the Control Objectives for Business and Related Technology (COBIT) framework. COBIT 2019 accommodates new IT trends in business, so that it can serve as a guide for auditors, users and management to bridge the gap between risk, control, and technical problems at PT Telkom, especially in the management of the Boost The Order (SIBORDER) Information System. IT governance audit is a control mechanism for SIBORDER management. Therefore, before conducting the audit, the auditor needs to make an audit plan to make it easier when allocating resources so that the audit is carried out effectively and efficiently. This research aims to design a SIBORDER governance audit guide using the COBIT 2019 framework. The design begins first, by identifying stakeholder needs, enterprise goals and weighting design factors. The results of stakeholder needs, namely optimizing risk and resources, while enterprise goals, namely EG01, EG05, EG06 and EG13, and the results of domain identification as focus areas, namely BAI 10, DSS 03, DSS 04 and DSS 05. Second, determination of information sources based on the RACI Chart. Third, the creation of an audit worksheet that contains a list of questions for the assessment of the selected domain and the schedule of audit implementation.

The speed of change and performance risk: examining the impacts of IT spending in the US hotel industry

研究目的科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。研究设计/方法/途径本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。研究结果科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。研究实践启示研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。研究原创性/价值大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

A Review on the Integration of Deep Learning and Service-Oriented Architecture

In recent years, machine learning has been used for data processing and analysis, providing insights to businesses and policymakers. Deep learning technology is promising to further revolutionize this processing leading to better and more accurate results. Current trends in information and communication technology are accelerating widespread use of web services in supporting a service-oriented architecture (SOA) consisting of services, their compositions, interactions, and management. Deep learning approaches can be applied to support the development of SOA-based solutions, leveraging the vast amount of data on web services currently available. On the other hand, SOA has mechanisms that can support the development of distributed, flexible, and reusable infrastructures for the use of deep learning. This paper presents a literature survey and discusses how SOA can be enabled by as well as facilitate the use of deep learning approaches in different types of environments for different levels of users.

Decision support model to adopt big data analytics in higher education systems

Data science or specifically data analytics systems have become an emerging trend in information technology and have attracted many organizations, including higher education. Higher Education Systems (HES) involve very active entities (students, faculty members, researchers, employers) who generate and require large volumes of data that go beyond the structured data stored in the house. The collection, analysis, and visualization of such big data present a huge challenge for HES. Big data analysis could be the solution to this challenge. However, the rationale and decision process for the adoption of big data analytics can be difficult. Such a knowledge-driven process requires a multitude of technical and organizational aspects that must be accounted for to ensure informed decisions are made. Existing research and development indicates that the decision to adopt, although systematic research with a theoretical background is rare and none of the existing studies have considered diffusion of innovation (DOI) theory. This paper aims to support HES, by providing a systematic analysis of the determinants for the decision to adopt big data analytics. An integrated framework referred to as the Technology Organization Environment (TOE) framework is proposed. The proposed framework is validated using structural equation modeling. Eleven determinants are confirmed that influence the TOE-driven framework for data analytics in HES. The result is expected to contribute to on-going research that attempts to address the complex and multidimensional challenge that relates to data science and analytics implementation in HES.

Evaluation of internet of things (IoT) application areas for sustainable construction

PurposeThis purpose of the study is to evaluate areas of application of internet of things (IoT) in the construction industry, with the view of increasing the level of usage of technology. This will help in understanding the areas where IoT can be applied in the construction industry for better improvement.Design/methodology/approachA quantitative approach was adopted for this study, and the adopted questionnaire was structured on a five-point Likert scale to elicit the opinion of respondents in the areas of application of IoT in the construction industry. The respondents included are quantity surveyors, land surveyors, builders, architects and engineers. Bar chart, mean item score, one sample t-test and Kruskal–Wallis H test were used in analyzing the retrieved data.FindingsThe results showed that building information modeling, construction management, remote usage monitoring, equipment services and repair, construction tools and equipment tracking are areas where IoT is mostly applied in the industry. Site monitoring is the only factor that has significant difference in the opinions of professionals, while others do not have. One sample t-test revealed that three factors out of 12 do not have significance attached by professionals.Originality/valueThe study gives insight into different areas where IoT can be applied in the construction industry. It also highlights how its application can be improved through workshops, training, seminar and conference for construction professionals to keep themselves abreast of information and communication technology trends, especially in the aspect of IoT. The IoT adoption helps in accomplishing sustainable infrastructural projects with more convenience.

Application Research on Information Integration Technology of Bridge BIM Model Based on 2-D EBS Coding System

In the trend of information technology, BIM Technology has been widely used in the design, construction and maintenance stages of bridge engineering activities with its own advantages. At present, BIM Technology has made further development to realize the bridge life cycle information. In view of the shortage of information carrier in the application of EBS in BIM life cycle, this paper proposes a 2-dimensional EBS coding system component decomposition coding system. The 2-D EBS coding system is composed of component information and subsidiary information. Through the practical application of Shapotou Yellow River Bridge in Ningxia, the possibility of 2-D EBS coding system in bridge life cycle information integration, exchange and storage is further verified. It provides a link role for bridge life cycle informatization, and has strong engineering practice significance.

Modified Fully Homomorphic Encryption based on Parallel Processing in Cloud Computing

Cloud Computing is widely regarded as the most radically altering trend in information technology. However, great benefits come with great challenges, especially in the area of data security and privacy protection. Since standard cloud computing uses plaintext, certain encryption algorithms were implemented in the cloud for security reasons, and ‘encrypted' data was then stored in the cloud. Homomorphic Encryption (HE), a modern kind of encryption strategy, is born as a result of this change. Primarily, the paper will focus on implementing a successful Homomorphic Encryption (HE) scheme for polynomials. Furthermore, the objective of the paper is to propose, produce and implement a method to convert the already implemented sequentially processing Homomorphic Encryption into parallel processing Homomorphic Encryption (HE) using a Parallel Processing concept (Partitioning, Assigning, Scheduling, etc) and thereby producing a better performing Homomorphic Encryption (HE) called Fully Homomorphic Encryption (FHE). Fully Homomorphic Encryption (FHE) is an encryption technique that can perform specific analytical operations, functions and methods on normal or encrypted data and can still perform traditional encryption results as performed on plaintext. The three major reasons for implementing Fully Homomorphic Encryption (FHE) are advantages like no involvement of third parties, trade-off elimination between privacy and security and quantum safety.

Intellectual systems in the management of medical technologies and quality of life

The article is devoted to the development and use of intelligent systems in the management of medical technological processes and health-related quality of life (HRQOL). The relevance of the work is due to the need for effective use of intelligent systems in healthcare. The purpose of this work is to study the possibilities and prospects of using information technologies and artificial intelligence systems in clinical medicine to improve the efficiency of providing medical care to the population. Information retrieval method; theoretical analysis of legislative and regulatory documents, literary sources, Internet resources, research results; spectral-dynamic and mathematical analysis of the current state and assessment of the quality of life of an individual using the artificial intelligence system "CME". The paper analyzes the development trends of information technologies and artificial intelligence systems, as well as the features of their use in medical technological processes. As an example, the technological capabilities of the intelligent system Complex Medical Expert are briefly described.

A conceptual framework of green smart IoT-based supply chain management

The green smart supply chain is a phenomenon that has emerged as a result of the development of sustainable and smart business and information technology trends. Sustainable and green supply chains are an innovative phenomenon that uses information technology to improve the quality of activities in operating areas. In order to ensure that activities are adapted to social and environmental needs. In this regard, the Internet of Things is one of the most important components of technology infrastructure for smart. For this purpose, in this research, a framework for implementing a green IoT-based supply chain is presented. This framework is based on the four-stage architecture of the Internet of Things and has been created by emphasizing the literature and the interaction and review of the opinions of active experts in this field. This framework illustrates the direct relationship between data generation and how it interacts with the sectors affected by environmental sustainability and outlines a clear pathway for sustainable and green decision-making in the supply chain. This framework has been endorsed by experts in the supply chain field and can pave the way for effective implementation of the green supply chain with an emphasis on technology in manufacturing organizations.

Conceptual approaches to planning and forecasting agricultural production transformed by digitalization

The article considers transformation trends of conceptual approaches to planning and forecasting agricultural production in the context of the digitalization of the economy. The features of modern information and communication technologies applied in the farm production management have been studied. The implementation of “smart” technologies in Russian agriculture has been revealed to be not large-scale. It has been substantiated that digital technologies based on artificial intelligence, analysis of large data arrays, and a fundamentally new interaction interface—virtual and augmented reality—transform current methodological approaches to economic planning. Particular attention was paid to transformed conceptual approaches in the methodology of economic planning of domestic agricultural production. The Internet of Things and measuring elements equipped with microprocessors and sensors, as well as special platforms and applications for monitoring have been proved to change the prevailing concept of the organization of planning and forecasting activities in agriculture. Special attention was paid to the implementation of the departmental project “Digital Agriculture” that is creating a model for the transition of the strategic planning system to a digital format. The model reflects the integration trends of modern information and communication technologies with agribusiness and authorities.

Evaluating the Health Care the Level of Electronic Health (e-Health) among Healthcare in Developing Countries and It Application in the Management of COVID-19 Pandemic Outbreak

Context: Healthcare institution in developing countries is in a state of great despair, with the lack of basic health infrastructure and support services, compounded with the ever increasing number of old people , chronic diseases and the manifestation of new communicable disease such as the ongoing Severe Acute Respiratory Syndrome- Coronavirus Disease 2019 (SARS-CoV-2, 2019 or COVID-19) pandemic. The massive healthcare disruption cause by the pandemic with respect to the management modality such as social distance and contact tracing re-affirm the importance of adopting the electronic health system in developing countries. This evolutionary trend in Information and Communication Technology (ICT) with the advancement in eHealth is changing the face of health care system globally by bringing healthcare closer to the people in term of cost, accessibility and planning. Despite the well documented benefits of eHealth, the knowledge and the level of adoption of these technologies in most developing countries such as Lesotho is nothing to ride home about (still remains very low). The management of Covid-19 patients has proven that healthcare is not confined; but a structured global system, with people travelling long distances than ever before. Objective: The objective of this article therefore, is aimed at evaluating the state and the level of Electronic Health (e-Health) and its adoption in the management of Covid-19 pandemic outbreak, and to also provide the authorities with information on the importance e-Health technology in this 21 century. The paper therefore reveal that, the level of e-Health in developing country like Lesotho, is still very low, due to lack of political commitment in the provision of needed infrastructure support structures.

Knowledge complexity and firm performance: evidence from the European SMEs

PurposeThis study aims to theoretically discuss and empirically investigate to what extent the interplay between the domains of knowledge complexity (managerial, strategic and operational) facilitates firm performance and the role of organizational resilience in this relationship.Design/methodology/approachThis paper uses primary data collected from 102 European small and medium-sized firms (SMEs) in Belgium, Bulgaria, Denmark, Spain and the UK during 2012–2015 and 2010–2020. This study corrects for potential data disclosure and technology adoption bias in two survey ways.FindingsFirst, compared to other acumens of knowledge complexity, managerial and operational acumens contribute most the most to a firm’s performance (sales and productivity). Firm resilience positively moderates managerial skills and negatively moderates inter-organizational collaborations. Taking SMEs and their inter-organizational relationships, skills and resilience in focus, considering that they are transitive organizations whose business model is based on innovation and productivity to outcompete larger counterparts it is found that resilience and agility in SMEs are important to leverage the effect of knowledge complexity on firm performance.Research limitations/implicationsOne of the limitations of this study is that SMEs are expected to face more problems in achieving organizational ambidexterity with all three acumens, as they have restricted managerial expertise, less structured procedures and fewer resources than larger firms. In addition to regression analysis which is limited in answering “how” and “why” knowledge complexity is managed within and outside a firm, future research will consider a mixed-method approach of both interviews with high growth SMEs and online surveys. To unveil the role that firm resilience in SMEs and in the volatile environment, future research may focus specifically on firms that lack resources, skills and time, however, continue innovating, commercializing new knowledge and create new jobs.Practical implicationsOne of the most important mechanisms which facilitate the managerial acumen was found to be information technology (IT) investment and management decision-making, exploitation of new information and communication technology trends and markets, innovating business models and driving change management, innovating new mobility and digital technologies, as well as use inter-disciplinary staff and knowledge to influence external stakeholders. The most relevant elements of the operational acumen of knowledge for performance in SMEs are various mechanisms and forms of inter-organizational collaboration such as collaboration on business and IT applications and infrastructure, administration and operations with data and information exchange, collaboration on data availability, accumulation and exchange.Social implicationsThe findings call for innovation policy to account for the need for interactions between various elements of strategic, managerial and operational acumens of knowledge complexity in SMEs. Prime support should be focused on facilitating inter-organizational collaboration and providing “soft support” in the time of agility and adversity. This paper founds that lack of budget, skills and resources would significantly affect a firm’s resilience, potentially “locking in” within an organization.Originality/valueFirst, it emphasizes that the returns from inter-organizational collaboration as part of the operational acumen of knowledge complexity depend upon the firm’s ability to manage infrastructure, mobility and data. The relationship is negatively moderated by firm resilience, which means that the most resilient firms may focus on the exploitation of internal resources and substitute it for inter-organizational collaboration. Second, this study demonstrates that SMEs’ growth and productivity strategy should be management skills and competencies driven, rather than strategy-driven, with strategy facilitating managerial decision-making on business and IT.

Input Data Characterization Using Machine Learning and Deep Learning

Seeing the current trends in Information technology, a large volume of heterogeneous data is produced widely across the world by means of social media sites such as Facebook, Instagram, Google plus, etc. and electronic gadgets used by humans for instance sensors. The generated data act as garbage and makes no sense until they are categorized. A strong need of data analytics or data filtering came into existence to filter the data into concrete categories. The generated data contain enormous features with huge dimensions. The high dimension data must be reduced to low dimension data to avoid curse of dimensionality and to build a better machine learning (ML) model.A ML model is built to perform the classification task that result into labeling of the data. In the first phase of work, a framework has proposed to process the data having features belonging to text and images using ML and DL algorithms. In the second phase of work, we have shown data related behavior using ML and DL framework. The proposed work is generic in sense of FS techniques and FE techniques using ML classifiers and DL classifiers. After carefully implementing the algorithms on the datasets we have evaluated the results taking accuracy as our performance metric. After carefully analyzing the accuracy it can be concluded that DL algorithms give better results than ML algorithms on both text and image dataset.

Peculiarities of business financing in the context of global trends in the use of FinTech innovation in the capital market

Methods. The theoretical and methodological basis of the study are scientific developments of domestic and foreign scientists related to determining the role of FinTech innovations in the development of the financial services market and the formation of FinTech tools for redistribution of financial resources between economic entities. The research used methods of theoretical and empirical research, in particular, abstraction and comparison in determining the features of the functioning of different types of online financing for SMEs; grouping method – in the study of regional features of the development of online financing models; methods of mathematical statistics – in determining development trends and forecasting the amount of alternative online financing by small and medium-sized businesses. Methods of graphical analysis allowed to visually reflect the results of the study. Results. The authors of the article analyze the current state and trends in the formation of fintech companies in Ukraine and financial support of business in the context of global trends in information technology. The place, role and features of using FinTech tools for redistribution of financial resources between economic entities based on the introduction of alternative models of business financing in Ukraine are identified. Novelty. A comparative description of the main types of online financing for small and medium-sized businesses is presented. The dynamics of changes in the volume of alternative online financing in the world and the specifics of the development of global and regional markets of alternative online financing are analyzed. The main determinants of influence on the development of online financing in the country are identified. Practical value. It is possible to apply the developed and submitted proposals for the further functioning and development of alternative business financing in Ukraine, taking into account global trends. The findings and results of the study will help intensify the implementation of online platforms and create conditions for peer financing of individuals and legal entities, promoting their development.

Amendments beyond traditional borders and the role of globalisation in the constitutional changes

The 21st century, globalisation and modernisation have necessitated changing and amending of contemporary constitutions. This paper examines the relationship between recent constitutional changes and globalisation. More specifically, the paper explores trends and tendencies of constitutional changes in the context of globalisation with an eye on how ubiquitous information technologies have shaped constitutional revisions sometimes to the point of acknowledging and limiting their sovereignty, via the terms of treaties and transnational trade agreements. In this paper, we will see that constitutionalism, influenced by globalisation and its complexity, has developed beyond its traditional, nation-state borders. Globalisation has shaped even the national legal system of countries, has brought limitation of sovereignty in countries like China or Netherlands, this in the name of economic, social development and integration. Information technology trends also have played a role in the constitution-making process and in the process of changing or amending the constitution in different states. In this regard Germany, Italy, Albania and Kosovo are our case studies to explore the role of globalisation in the revision of recent constitutional changes.

Amendments beyond traditional borders and the role of globalisation in the constitutional changes

The 21st century, globalisation and modernisation have necessitated changing and amending of contemporary constitutions. This paper examines the relationship between recent constitutional changes and globalisation. More specifically, the paper explores trends and tendencies of constitutional changes in the context of globalisation with an eye on how ubiquitous information technologies have shaped constitutional revisions sometimes to the point of acknowledging and limiting their sovereignty, via the terms of treaties and transnational trade agreements. In this paper, we will see that constitutionalism, influenced by globalisation and its complexity, has developed beyond its traditional, nation-state borders. Globalisation has shaped even the national legal system of countries, has brought limitation of sovereignty in countries like China or Netherlands, this in the name of economic, social development and integration. Information technology trends also have played a role in the constitution-making process and in the process of changing or amending the constitution in different states. In this regard Germany, Italy, Albania and Kosovo are our case studies to explore the role of globalisation in the revision of recent constitutional changes.

Выявление неисправностей в группах мобильных роботов с использованием скользящих наблюдателей

The paper studies the emerging trends in advanced computing and information technology for efficient solutions of fault identification problem for mobile robot groups under the unmatched disturbances. The sliding mode observers are considered for mentioned problem solution. It facilitates the concept of Smart everything inside the considered robotic group during its generalized control: smart surrounding sensing, communication, processing, and scanned data storing. The suggested novel approach to sliding mode observer design is based on obtaining the reduced order model of the initial system. This allows reduce the complexity of sliding mode observer and relax restrictions imposed on the initial system.

СУЧАСНІ ТЕНДЕНЦІЇ ВИКОРИСТАННЯ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ У ЗАКЛАДАХ ОСВІТИ

The article examines the development trends of information and communication technologies in education as the basis for the formation of an information society. The stages of development of information technologies from manual information to network technology are described. The purpose of the article is to analyze the current trends of the use of information technologies in educational institutions. General scientific methods were used during the research, in particular: analysis and synthesis, comparison, analysis of time series, graphical method, etc. The meaning of information and communication technologies is revealed, as well as the regulatory and legal framework for their development and implementation in the educational process in Ukraine is indicated. Comparison of government forms of statistical reporting is carried out in terms of the use of modern information technologies, namely, the expansion of the ZNZ-1 form with the following indicators: about the technology and speed of the Internet, the availability of Wi-Fi technology, the availability of modern printing devices (including 3D printers by type), educational software used in the educational process and are on the balance sheet of the institution, etc. The current state of the provision of general secondary education institutions with an Internet connection was investigated (less than 100 institutions do not have such a connection, which is less than 1% of the total number). The level of provision of schools' connection to a high-quality Internet network (with a data transfer rate of more than 30+ Mbit/s), as well as the number of students per one stationary or laptop computer by regions, are described.

Fault Identification in Mobile Robot Groups Using Sliding Mode Observers

The paper studies the emerging trends in advanced computing and information technology for efficient solutions of fault identification problem for mobile robot groups under the unmatched disturbances. The sliding mode observers are considered for mentioned problem solution. It facilitates the concept of Smart everything inside the considered robotic group during its generalized control: smart surrounding sensing, communication, processing, and scanned data storing. The suggested novel approach to sliding mode observer design is based on obtaining the reduced order model of the initial system. This allows reduce the complexity of sliding mode observer and relax restrictions imposed on the initial system.