Search

The role of the capital market in the economy of all countries is fundamental and decisive. It has a significant effect in aggregating and moving resources towards production and economic activities. According to the existence of such markets, the collection of small and large financial resources from the members of the society is facilitated. Therefore, this research is aimed at providing a model for measuring the impact of economic policy uncertainty on the tax capacity of e-commerce. In this research, 40 variables affecting economic policy uncertainty were included in the model. Finally, using the Bayesian averaging model approach, the most important variables affecting this index were determined. According to the results of the BMA model, the most important variables affecting the economic policy uncertainty index are the real interest rate, government debt to the central bank, liquidity (M2), inflation, current expenditures, land price index in urban areas, unofficial exchange rate, real exchange rate, Economic growth and oil revenues were determined. Based on the principal components approach, we calculated the economic policy uncertainty index using the most important variables affecting this variable. Then, by using the GARCH model, we extracted the uncertain part of the economic policy uncertainty index, and finally, by using the powerful non-linear TVPFAVAR model, we analyzed the shock caused by the economic policy uncertainty variable on the tax capacity in the field of e-commerce in the research period. We analyzed. The results indicated the fact that the shock caused by the variable fluctuation of economic policy uncertainty has increased the tax capacity in the field of e-commerce in recent years. [ABSTRACT FROM AUTHOR]

The article examines the modern trends of intelligent automated technologies in the restaurant business, which are currently one of the most relevant topics that have attracted the attention of owners and managers of the restaurant business. It has been found that the service quality indicators improve in the service sector thanks to the automation of interaction with customers, which in turn leads to an increase in the level of satisfaction of consumers who are ready to invest in positive emotions. The study analyzes the current state of intelligent automation in the restaurant sector and provides a systematic assessment of the potential of innovative processes. For this, the market of intelligent automation in the restaurant business was analyzed, which creates a basis for future research and strategic planning. It was found that in the modern digital environment, the possibilities of automating work processes in the restaurant business constitute a significant specific weight. This direction, which has largely remained out of academic research until now, is attracting the attention of both the corporate and scientific worlds. It was found that intelligent automation plays a key role in improving the processes of service, management and marketing in the restaurant sector. The application of intelligent technologies will help automate many processes in the restaurant business that were previously performed manually. It is well-founded that thanks to means of intelligent automation, such as mobile applications, kiosks and chatbots, the way of serving guests is changing, and modern software simplifies the management of the restaurant business. The results of the analysis of modern trends of intelligent digitization in the restaurant business and the assessment of the possibilities of their practical implementation will contribute to increasing competitiveness and meeting the needs of the modern consumer of restaurant services. Thus, innovations aimed at the digital transformation of customer service tools have a positive impact on quality parameters, which become a key competitive advantage in the service sector.

E-business and its basic component e-commerce are components of the modern digital society. The application of contemporary information and communication technologies allows their establishment in social and economic life. The article presents an overview of the main features, models and approaches in building e-business and e-commerce systems. In addition, specific problems in the processing of personal data in the network environment are structured and basic requirements that must be respected in their e-business and e-commerce communications are summarized. [ABSTRACT FROM AUTHOR]

This study aims to design a model for measuring the level of maturity of business intelligence in electronic businesses, specifically for Internet Service Provider (ISP) companies. The study adopts a qualitative approach based on the phenomenological approach. A total of 10 specialists, experts, and managers from electronic businesses involved in providing Internet services are selected as participants using the maximal differentiation method. Data are collected through in-depth and semi-structured interviews and analyzed using Colaizzi's method. The findings are classified into five levels of business intelligence maturity (Level 1: Primary maturity, Level 2: Repeatable maturity, Level 3: Defined maturity, Level 4: Managed maturity, Level 5: Optimized maturity) using the Delphi technique. Subsequently, a model consisting of 33 dimensions and 232 indicators is designed based on the relevant literature and the researcher's viewpoint, with confirmation from experts. Finally, the model is validated using confirmatory factor analysis in Smart PLS software.IntroductionDue to the fact that businesses face numerous challenges, such as the need for increased responsiveness and transparency towards customers, the growing number of tasks and organizational activities, and rapid technological changes, they require mechanisms capable of real-time data analysis and integration. Business intelligence serves as one of these mechanisms. Additionally, businesses need to assess and evaluate their current performance, compare their existing processes, tools, and methods with the best practices, and measure indicators of predictability, control, and effectiveness to effectively implement business intelligence. Therefore, they require a model to gauge the maturity level of business intelligence within their organization. Consequently, the objective of this research is to present a model for measuring the maturity level of business intelligence in electronic businesses.Materials and MethodsSince the researcher aims to extract the components of business intelligence maturity based on people's mentalities and experiences, the phenomenological method, specifically Colaizzi's method, was employed. To achieve this, 10 experts from Internet service provider companies were interviewed and selected using the maximal differentiation sampling method. The analysis of these interviews resulted in the extraction of 277 significant codes. Given the research's focus on measuring the maturity level of business intelligence, 40 experts were then asked to classify the obtained concepts into five levels of business intelligence maturity (Level 1: Primary maturity, Level 2: Repeatable maturity, Level 3: Defined maturity, Level 4: Managed maturity, Level 5: Optimized maturity) using the Delphi technique and snowball sampling method. After three rounds of Delphi, 232 codes remained out of the initial total of 277 codes. These 232 indicators were then categorized into 33 dimensions based on the definitions, functions of business intelligence, and the perceived concepts of each indicator. Subsequently, the researcher designed a measurement model for the maturity level of business intelligence in electronic businesses specifically tailored for Internet service providers. Finally, the designed model was validated through confirmatory factor analysis using SmartPLS software.Discussion and ResultsThis research has developed a model that enables companies, especially Internet service providers, to assess their current business state and their progress towards their goals. The model facilitates the decision-making process for e-business managers. With 5 levels, 33 dimensions, and 232 indicators encompassing technical, managerial, and human aspects, the model effectively enhances business capabilities and establishes a foundation for improving and advancing the level of maturity within the business. It is important to note that the model's Level 1 (Primary maturity) includes one dimension titled "reporting" with five indicators. Level 2 (Repeatable maturity) comprises five dimensions: advertising (eight indicators), management and performance evaluation (seven indicators), control (three indicators), documentation (five indicators), and automation (two indicators). Level 3 (Defined maturity) consists of six dimensions: access level (four indicators), customer orientation (16 indicators), process management (eight indicators), standardization of processes (10 indicators), improvement of information quality (five indicators), and improvement of service level (28 indicators). Level 4 (Managed maturity) encompasses 13 dimensions: assessment and analysis skills (14 indicators), business development and organizational processes (nine indicators), organizational management (12 indicators), organizational training (nine indicators), human resource management (16 indicators), organizational value (five indicators), security (two indicators), support (five indicators), business strategies (three indicators), management and development of essentials (11 indicators), business performance management (five indicators), policy making (four indicators), and cost-benefit (two indicators). Lastly, Level 5 (Optimized maturity) includes eight dimensions: predictive analysis (six indicators), dashboard (two indicators), knowledge management (six indicators), innovation (four indicators), competitive advantage (six indicators), technology development (four indicators), expansion of investment (three indicators), and data mining (three indicators).ConclusionsThis research has designed a model to facilitate the decision-making process of e-business managers, particularly those in Internet service providers. The model enables companies to assess their current business state and their progress towards their goals. The model encompasses 5 levels, 33 dimensions, and 232 different indicators, taking into account technical, managerial, and human aspects. With this comprehensive approach, the model has the potential to enhance business capabilities and establish a solid groundwork for improving and advancing the maturity level of the business. Internet service provider companies not only gain an understanding of their business intelligence maturity level and have the opportunity to elevate it through long-term planning, but they also empower themselves to navigate future changes and meet evolving customer expectations. The business intelligence maturity model introduced in this study serves as a framework for continuous improvement in their business activities. It provides a foundation and context for controlling processes and facilitates the ongoing enhancement of their operations.This study aims to design a model for measuring the level of maturity of business intelligence in electronic businesses, specifically for Internet Service Provider (ISP) companies. The study adopts a qualitative approach based on the phenomenological approach. A total of 10 specialists, experts, and managers from electronic businesses involved in providing Internet services are selected as participants using the maximal differentiation method. Data are collected through in-depth and semi-structured interviews and analyzed using Colaizzi's method. The findings are classified into five levels of business intelligence maturity (Level 1: Primary maturity, Level 2: Repeatable maturity, Level 3: Defined maturity, Level 4: Managed maturity, Level 5: Optimized maturity) using the Delphi technique. Subsequently, a model consisting of 33 dimensions and 232 indicators is designed based on the relevant literature and the researcher's viewpoint, with confirmation from experts. Finally, the model is validated using confirmatory factor analysis in Smart PLS software.IntroductionDue to the fact that businesses face numerous challenges, such as the need for increased responsiveness and transparency towards customers, the growing number of tasks and organizational activities, and rapid technological changes, they require mechanisms capable of real-time data analysis and integration. Business intelligence serves as one of these mechanisms. Additionally, businesses need to assess and evaluate their current performance, compare their existing processes, tools, and methods with the best practices, and measure indicators of predictability, control, and effectiveness to effectively implement business intelligence. Therefore, they require a model to gauge the maturity level of business intelligence within their organization. Consequently, the objective of this research is to present a model for measuring the maturity level of business intelligence in electronic businesses.Materials and MethodsSince the researcher aims to extract the components of business intelligence maturity based on people's mentalities and experiences, the phenomenological method, specifically Colaizzi's method, was employed. To achieve this, 10 experts from Internet service provider companies were interviewed and selected using the maximal differentiation sampling method. The analysis of these interviews resulted in the extraction of 277 significant codes. Given the research's focus on measuring the maturity level of business intelligence, 40 experts were then asked to classify the obtained concepts into five levels of business intelligence maturity (Level 1: Primary maturity, Level 2: Repeatable maturity, Level 3: Defined maturity, Level 4: Managed maturity, Level 5: Optimized maturity) using the Delphi technique and snowball sampling method. After three rounds of Delphi, 232 codes remained out of the initial total of 277 codes. These 232 indicators were then categorized into 33 dimensions based on the definitions, functions of business intelligence, and the perceived concepts of each indicator. Subsequently, the researcher designed a measurement model for the maturity level of business intelligence in electronic businesses specifically tailored for Internet service providers. Finally, the designed model was validated through confirmatory factor analysis using SmartPLS software.Discussion and ResultsThis research has developed a model that enables companies, especially Internet service providers, to assess their current business state and their progress towards their goals. The model facilitates the decision-making process for e-business managers. With 5 levels, 33 dimensions, and 232 indicators encompassing technical, managerial, and human aspects, the model effectively enhances business capabilities and establishes a foundation for improving and advancing the level of maturity within the business. It is important to note that the model's Level 1 (Primary maturity) includes one dimension titled "reporting" with five indicators. Level 2 (Repeatable maturity) comprises five dimensions: advertising (eight indicators), management and performance evaluation (seven indicators), control (three indicators), documentation (five indicators), and automation (two indicators). Level 3 (Defined maturity) consists of six dimensions: access level (four indicators), customer orientation (16 indicators), process management (eight indicators), standardization of processes (10 indicators), improvement of information quality (five indicators), and improvement of service level (28 indicators). Level 4 (Managed maturity) encompasses 13 dimensions: assessment and analysis skills (14 indicators), business development and organizational processes (nine indicators), organizational management (12 indicators), organizational training (nine indicators), human resource management (16 indicators), organizational value (five indicators), security (two indicators), support (five indicators), business strategies (three indicators), management and development of essentials (11 indicators), business performance management (five indicators), policy making (four indicators), and cost-benefit (two indicators). Lastly, Level 5 (Optimized maturity) includes eight dimensions: predictive analysis (six indicators), dashboard (two indicators), knowledge management (six indicators), innovation (four indicators), competitive advantage (six indicators), technology development (four indicators), expansion of investment (three indicators), and data mining (three indicators).ConclusionsThis research has designed a model to facilitate the decision-making process of e-business managers, particularly those in Internet service providers. The model enables companies to assess their current business state and their progress towards their goals. The model encompasses 5 levels, 33 dimensions, and 232 different indicators, taking into account technical, managerial, and human aspects. With this comprehensive approach, the model has the potential to enhance business capabilities and establish a solid groundwork for improving and advancing the maturity level of the business. Internet service provider companies not only gain an understanding of their business intelligence maturity level and have the opportunity to elevate it through long-term planning, but they also empower themselves to navigate future changes and meet evolving customer expectations. The business intelligence maturity model introduced in this study serves as a framework for continuous improvement in their business activities. It provides a foundation and context for controlling processes and facilitates the ongoing enhancement of their operations.

Currently, almost all direct marketing activities take place virtually rather than in person, weakening interpersonal skills at an alarming pace. Furthermore, businesses have been striving to sense and foster the tendency of their clients to accept a marketing offer. The digital transformation and the increased virtual presence forced firms to seek novel marketing research approaches. This research aims at leveraging the power of telemarketing data in modeling the willingness of clients to make a term deposit and finding the most significant characteristics of the clients. Real-world data from a Portuguese bank and national socio-economic metrics are used to model the telemarketing decision-making process. This research makes two key contributions. First, propose a novel genetic algorithm-based classifier to select the best discriminating features and tune classifier parameters simultaneously. Second, build an explainable prediction model. The best-generated classification models were intensively validated using 50 times repeated 10-fold stratified cross-validation and the selected features have been analyzed. The models significantly outperform the related works in terms of class of interest accuracy, they attained an average of 89.07% and 0.059 in terms of geometric mean and type I error respectively. The model is expected to maximize the potential profit margin at the least possible cost and provide more insights to support marketing decision-making.

Introduction: Nowadays, in most countries of the world, small and medium industries play various roles in social, industrial and service arenas. An e-business is a system that is created with the aim of satisfying customers and facilitating the fulfillment of their orders using the Internet. Advances in technology offer countless opportunities for rapid market access nationally and internationally to small and mediumsized enterprises. Accordingly, infrastructures should be provided by the government to make it easier to use the facilities, and the relevant agencies should work together to create a safe and comfortable environment, away from strict regulations. In this way, the ground will be prepared for the development of the economy, the training of specialized man power and the employment of experts in organizations. The aim of this research is to develop the electronic businesses of small and medium enterprises in Yazd Province in the field of ceramic tiles using the fuzzy cognition mapping approach. Based on the nature of the research, responses are found to the questions 'What factors are effective in the development of e-businesses of small and medium enterprises in the Iranian ceramic tile industry?' and 'What is the degree of effectiveness, influence and centrality of the factors?' Methodology: This study is descriptive in type. From a methodological point of view, it is based on the mixed research method, which was done in four stages. In the first stage, based on the results of a library study on the theoretical foundations and research background, the basic conceptual framework of electronic business in the ceramic tile industry was extracted. For this purpose, two statistical populations were sampled the first of which consisted of eight experts in the field of business management in Yazd Province. They were randomly selected and interviewed. At this stage, 18 factors were obtained by reviewing the literature and the research background, as a result of which a number of factors were removed, merged or added from the prepared list. Finally, 15 factors were approved by the experts. The second sample included 35 online sellers of ceramic tiles in Yazd Province who were selected to participate in the construction of the model. In the second stage of the qualitative modeling process, the causal map of the experts was extracted and analyzed. Then, fuzzy cognitive mapping was drawn by the Ucinet6 software. In the fourth stage, the degree of centrality, the effectiveness of specific factors, and the scenarios for the development of e-business in small and medium enterprises in Yazd Province were simulated in a case study of the ceramic tile industry, and the results were checked with the soft FCMapper1 software. The data and the scenarios were analyzed using the fuzzy cognitive mapping technique, and the research model was designed through social network analysis. Results and discussion: According to the research findings, the factors affecting the development of e-business in small and medium enterprises in Yazd Province (with a focus on the ceramic tile industry) include leadership and management factors, technical requirements, financial infrastructure, organizational image, product and service, supply chain, customer satisfaction, competitors and partners, suppliers, political and legal infrastructures, marketing and advertising, after-sales service, customer trust, investment, and organizational culture. Based on the degree of centrality, what tops the list is leadership and management factors as well as products and services. Also, the results of the analysis of the second scenario indicate that, since the managers of the ceramic tile industry try to have better leadership and management and do not take legal, political and legal infrastructures into account, they cannot hope for the progress and development of their business. In other words, management and leadership along with legal, political and legal infrastructures can lead to the development of businesses in the ceramic tile industry. According to the results of the third scenario, if we develop the product and service factor but do not pay attention to the value chain, the majority of the factors change in a negative direction, but the rate of change is less than that in the second scenario. Conclusion: Finally, based on the results of this study, there are suggestions made for the development of electronic businesses in the ceramic tile industry, including the attendance of managers in various courses of management and leadership skills and market study. The accurate knowledge of customer needs is also pointed out in order to provide the products and services that are more tailored to the tastes of customers and, as a result, their satisfaction is guaranteed as much as possible. [ABSTRACT FROM AUTHOR]

Maintaining an attractive, easy-to-use website that stands out in the industry in which it operates is a premise for any business that intends to use the internet effectively. However, users to encounter many problems when interacting with websites, and this is because many organizations do not have a complete understanding of what a website really means to them. Although there is a lot of evidence in the form meta-analysis reviews related to website quality assessment, a systematic review of these meta-analyses is lacking in the literature. Our objective was to synthesize the existing literature to identify the main dimensions and analysis methods associated with website quality assessment. Following the recommendations PRISMA statement for systematic reviews, we reviewed relevant articles identified in the Web of Science and Scopus databases. A total of 38 original research articles related to website quality assessment were retrieved and selected for eligibility. The results present an overview of studies on website quality assessment, identifying the main criteria used for their assessment. Our review shows that there are more than a hundred dimensions used in studies to assess the quality of websites, however, these dimensions have similarities and therefore were grouped, providing a broad view of the most used dimensions. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article considers the features of the development of the global electronic business. The current state and dynamics of e-business development in various countries are analyzed. Information technologies are developing rapidly, so the Internet is becoming more and more important both in private life and in business. E-commerce (electronic commerce) is the electronic purchase or sale of goods through online services or via the Internet. The development of e-commerce is rapid, and most of the largest companies are starting to use e-commerce along with traditional offline. There are more than a dozen different e-commerce business models today. Over the past few years, e-commerce has become an integral part of the global retail system. Like many other industries, retailing has undergone significant changes since the advent of the Internet, and thanks to the ongoing digital transformation of modern life, consumers in almost every country now benefit from online transactions.The article also reveals the essence, subjects and forms of e-commerce, formulates and characterizes the main advantages and disadvantages of e-commerce in Ukraine. The modern period of the development of the national economy is characterized by increased competition between subjects of commercial activity, which necessitates the need for prompt response to changes in the market of goods and services and the rapid and efficient implementation of commercial transactions. Forms of doing business are changing significantly. Along with traditional enterprises and firms, more and more enterprises are appearing on the market, which are engaged in so-called electronic commerce. The essence of the concept of "electronic commerce" is defined here. The historical stages of the development of e-commerce in the market are given. The benefits of e-commerce from the standpoint of various stakeholder groups have been identified. The main trends in the development of e-commerce in developing countries, as well as in Ukraine, are analyzed. The risks that may cause the development of electronic commerce have been identified and substantiated. It has been proven that the benefits of the development of e-commerce are much more significant than its disadvantages. Potential risks in conducting e-business can be reduced by implementing reliable means of electronic security of transactions, solving the problems of regulatory and legal regulation of this area at the state level.

Nowadays, the development of the agricultural sector is not possible without relying on efficient information and applying new technologies, and using information technology to develop and update information and tools related to entrepreneurial activities in this sector leads to job creation and value creation. Therefore, the present study aimed to identify the components of entrepreneurship development in the agricultural sector based on information technology. This study is of qualitative type (content analysis and Delphi). To prepare the data, first, by reviewing the theoretical foundations and previous studies through the content analysis method, the components of entrepreneurship development in the agricultural sector based on information technology were identified, and through the Delphi method, these components were approved and prioritized. In the content analysis method, subjective methods were used to analyze the data, and in the Delphi method, descriptive statistics such as counting, and percentages were used to analyze the data of questionnaires and interviews. In the content analysis method, 27 indicators were extracted as factors for entrepreneurship development in the agricultural sector and reached the Delphi stage. In three rounds of Delphi, 13 indicators were added to the indicators and out of 40 indicators, only 8 indicators were not agreed upon by the experts. The results showed that the factors affecting the development of information and communication technology consist of 9 components (Legal factors and targeted policy, technical and technological factors, educational-extension factors, managerial and cultural factors) and 32 indicators that play a fundamental role in business development and has entrepreneurial work in the agricultural sector. It also paves the way for the development of more entrepreneurship in the agricultural sector. [ABSTRACT FROM AUTHOR]

Global business changes and technology development open up new opportunities for banks to improve the quality of their services while reducing costs and increasing efficiency. One of the consequences of accelerated technological development and the efforts of banks to increase competitiveness is the emergence of electronic or internet banking. Electronic banking in Serbia began to be applied somewhere in 2003, but at a much slower pace than in developed countries. The main limitations of the insufficient use of electronic banking are related to the still insufficient use of the Internet and advanced technology, the resistance of the population to changes, the weak information system and the lack of information. Recently, the development of e-business in Serbia has been faster, and the assumptions are that this development will continue, especially in terms of the use of mobile banking. Banks should make efforts to create a culture of trust among customers and promote e-banking services, in order to influence public awareness of the positive aspects of this form of banking services. The paper describes the origin, current development and future perspectives of the use of electronic banking in the Republic of Serbia.

In the current conditions of rapid digitalization of the worldwide space, taking into account global factors, which are being forced, including such «black swans» as the COVID-19 pandemic, the issues of e-commerce development in the context of certain regions are being activated. The article is aimed at studying and identifying the features and trends of e-commerce development in the Latin American region, a detailed analysis of Brazil, Mexico and Argentina as the largest markets in the region. To achieve this aim, the methods of scientific abstraction, analysis and synthesis, statistical analysis, comparison, structural and logical generalization were used. The article determines that, given the large population of the region with a significant stratification of society, the region has seen a sharp increase in the e-commerce market, including by means of the mass digitalization of the end user to meet the need for remote work and training during the pandemic. Most researchers distinguish the markets of Brazil, Mexico and Argentina as the largest in the region. There is a significant increase in the presence of regional and global platforms, with an emphasis on the problem of disproportionately large volume of Asian products sold by global platforms. The increase in the volume of trading platforms can have a beneficial impact on the improvement of logistics infrastructure in the region, which is currently one of the key problems. Among the existing problems, experts also indicate a low level of penetration of banking services and a high degree of cash circulation. Due to the specifics of the banking sector, not all local cards are valid on international trading platforms, which is one of the deterrent factors for the development of e-commerce. Based on statistical analysis, it is determined that in the current realities of the Latin American region, the process of digitalization of all e-commerce market participants is experienced while maintaining trends in the steady growth of key indicators of Internet commerce. This characterizes the region as promising in terms of increasing market volumes, the number of Internet consumers, the level of Internet penetration, the modernization of the banking sector and changes in legislation. At the same time, it is identified that in the presence of problems of the shadow economy, a low degree of public confidence in the banking sector, the preservation of a significant disparity in the incomes of categories of the population, there is a need to revalue the prospects and conditions for the further development of the e-commerce market in the post-pandemic period.

Copyright of Business Consultant / Poslovni Konsultant is the property of FINconsult Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Financial innovation and advances in payment systems are important not only to boost remittances but also to foster the successful development of electronic businesses around the world. As such, many leading companies in electronic commerce are putting a great deal of effort into the development of their payment system to attract more users and compete with other leading companies in the market. WeChat is a social communication tool that introduced a payment function widely adopted as a third-party payment in China nowadays. The purpose of this study was to adopt WeChat as a case study to identify the influential factors that impact consumers’ intention to adopt it as digital payment. We identified several core influential factors including service quality, perceived risk, perceived security, perceived ease of use, social influence, compatibility, and age. Qualitative and quantitative analyses were performed to investigate how influential factors affect the adoption of this third-party digital payment platform. The results revealed that all identified factors have a significant influence on consumer’s intention to use digital payment, except age. This study also provided useful advice for digital payment improvement and recommendations to enhance digital payment for the success of electronic business operations. The paper provides new insight into the factors influencing consumers’ intention to use mobile digital payment.

The ultimate goal of marketing is to meet the needs and demands of customers in a better way than competitors. The ability to understand how customers and consumers behave and how they make their decisions is a prerequisite for successful marketing goals. This study is done to identify affecting factors on the improvement of online shopping with respect to the customer decision-making process. For this purpose, the library method and literature review are used to identify the factors influencing improvementonline shopping. In the next step, using semi-structured interview with experts and performing qualitative content analysis method to classify and localize identified variables and indicators. Then the one sample t-test used to finalize the identified indicators. The result of the research shows that the obtained model includes factors: Channel Quality (task value, emotional value, social value, and perceived risk), Website Quality (security, information content, system performance, visual effects, and innovation), Product Features (price and variety), Advertising (WOM and environmental advertising), Transaction Quality (trust, accountability, and customization), and Customer Satisfaction; which are effective in improving online shopping.

Financial innovation and advances in payment systems are important not only to boost remittances but also to foster the successful development of electronic businesses around the world. As such, many leading companies in electronic commerce are putting a great deal of effort into the development of their payment system to attract more users and compete with other leading companies in the market. WeChat is a social communication tool that introduced a payment function widely adopted as a third-party payment in China nowadays. The purpose of this study was to adopt WeChat as a case study to identify the influential factors that impact consumers’ intention to adopt it as digital payment. We identified several core influential factors including service quality, perceived risk, perceived security, perceived ease of use, social influence, compatibility, and age. Qualitative and quantitative analyses were performed to investigate how influential factors affect the adoption of this third-party digital payment platform. The results revealed that all identified factors have a significant influence on consumer’s intention to use digital payment, except age. This study also provided useful advice for digital payment improvement and recommendations to enhance digital payment for the success of electronic business operations. The paper provides new insight into the factors influencing consumers’ intention to use mobile digital payment. [ABSTRACT FROM AUTHOR]

Copyright of Transition: Journal of Economic & Politics of Transition / Tranzicija: Časopis za Ekonomiju i Politiku Tranzicije is the property of Ekonomski Institut Tuzla and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The main aim of the article is to consider e-commerce as a single, holistic economic system, whith identifying its components, purpose, and features of functioning. Accordingly, the article considers the essence of such scientific concepts as «e-commerce» and «system». The research is based on a systemic approach, which is considered as a separate method of scientific research, being used to research the essence and features of functioning of the individual object through its consideration as a holistic object with its components, the relationships between them, and the purpose of its activity. Applying such an approach has allowed to have defined the essence of the e-commerce system, which is proposed to be viewed as a set of economic entities interacting with each other in the process of selling goods and providing services by means of the information networking technologies. The article also details the component composition of such a system, defines the peculiarities of interrelations between the constituents, identifies the purpose of its functioning, and the subjects of the external environment with which such a system interacts.

After entering the 21st century, the electronic commerce system has affected all aspects of our lives. Whether we read news on our mobile phones or computers or purchase items on our online websites, it greatly facilitates our lives. With the rapid development of short videos, many people like to watch small videos that interest them. The rapid development of e-commerce has facilitated our lives, so that we no longer have to go to many shopping malls to buy our favorite items, and we also no need to change TV stations one by one after watching a program to find our favorite programs. However, due to the rapid development of electronic commerce, there has been a lot of information overload. When users browse the website, items they are not interested in will appear, and even information about online fraud appears. How to filter this information and how to intelligently recommend to users more favorite items is the main research direction of this article. The research of this article is mainly divided into four parts. The first part analyzes the current situation of intelligent recommendation technology research and puts forward the idea of this article. The second part introduces the commonly used collaborative filtering algorithm and the principle and process of the fuzzy clustering algorithm used in this experiment, analyzes the shortcomings of the traditional collaborative filtering algorithm and illustrates the adaptability of the fuzzy clustering algorithm in practical applications. The third part introduces an intelligent recommendation system based on fuzzy clustering, which comprehensively analyzes the characteristics of users and products, makes full use of users’ evaluation information of products, and realizes intelligent recommendations based on content and collaborative filtering. At the end of the article, the comparative analysis experiment with the intelligent recommendation system of collaborative recommendation algorithm further proves the superiority of the intelligent recommendation system of electronic commerce based on fuzzy clustering algorithm in this paper and improves the accuracy of intelligent recommendation. [ABSTRACT FROM AUTHOR]

This article reviews 26 years (1994–2020) of research on electronic business published in reputable journals of the field. The basic aim behind this study is to define the growth potential of electronic business and marketing as a theoretical field and provide insights on past, present, and future scientific production in the field. By using bibliometrics and topic modeling techniques, annual scientific production and growth, latent topic structures, and trends by years, information on total citations and networks were examined. While the authors defined the research orientations by uncovering the main topics associated with electronic business, they created an understanding of the possible future research directions of fourteen topics discovered. The results show that, while the transaction-focused publications prevailed in the early years of electronic business and marketing journals, from the mid2000s, the focus has shifted towards marketing-focused publications. Moreover, to understand the main orientations in the field, the authors conducted a citation analysis to define the most influential topics published in the journals. The article also provides information on the most influential researchers in the field. [ABSTRACT FROM AUTHOR]

Agro livestock cooperatives play a significant role in food production and distribution in Cuba. This study identified deficiencies related to the business management processes of these organizations that affect their economic performance. Although there are several studies aimed to improve the efficiency of the marketing and commercialization systems in Cuban cooperatives, there is a lack of studies related to the application of digital technologies in the commercial relations of these organizations. This research aims to strengthen the commercial management of Cuban agro livestock cooperatives by applying a digital strategy. Analytical-synthetic, historical-logical and modeling methods were used as scientific methods. The proposed strategy is based on the use of social trade through the social network Facebook. The implementation of this strategy will make it possible to expand marketing, market relations, technological innovation and competitiveness of Cuban agro livestock cooperatives. [ABSTRACT FROM AUTHOR]

Small and medium-sized enterprises (SMEs) are known as accelerators of social and economic development due to the important role they play in increasing GDP, job creation and entrepreneurship, with all the ways of doing business and especially with the electronic way, and which implements information technology and the Internet for the realization of business relationships with customers. The Internet and information technology are destroying the walls and barriers between countries not only economically but also in every other social aspect, thus influencing the globalization of the international economy and the opening of markets between different countries, facilitating the exchange of goods and services. Over time, e-business began to be applied, which made sales and purchases, ie exchanges between businesses and consumers, online. This means that various businesses in addition to traditional shops began to open virtual stores (read electronic). The development of Internet-based technologies has enabled the development of business organizations that use the Internet to realize a successful business story, also through the creation of a market that grows very quickly both by the way business is realized, as well as by the way business communicates with customers and business customers. Today, most small and medium-sized enterprises have access to the Internet and use it to deliver products and services to consumers. The population in Kosovo, even though they are large Internet users, are reluctant to use the Internet to shop or buy products and services, although the number of small and medium enterprises in Kosovo that apply electronic business remains limited. Since the purpose of this paper is to present the opportunities and challenges of e-business for small and medium-sized enterprises in Kosovo, special attention will be paid to e-entrepreneurship as a concept that adds value not only to the economy but also to Kosovar society. [ABSTRACT FROM AUTHOR]

Grounded in the technology–organization–environment (TOE) framework, we develop a research model for assessing the value of e-business at the firm level. Based on this framework, we formulate six hypotheses and identify six factors (technology readiness, firm size, global scope, financial resources, competition intensity, and regulatory environment) that may affect value creation of e-business. Survey data from 612 firms across 10 countries in the financial services industry were collected and used to test the theoretical model. To examine how e-business value is influenced by economic environments, we compare two subsamples from developed and developing countries. Based on structural equation modeling, our empirical analysis demonstrates several key findings: (1) Within the TOE framework, technology readiness emerges as the strongest factor for e-business value, while financial resources, global scope, and regulatory environment also significantly contribute to e-business value. (2) Firm size is negatively related to e-business value, suggesting that structural inertia associated with large firms tends to retard e-business value. (3) Competitive pressure often drives firms to adopt e-business, but e-business value is associated more with internal organizational resources (e.g., technological readiness) than with external pressure to adopt. (4) While financial resources are an important factor in developing countries, technological capabilities become far more important in developed countries. This suggests that as firms move into deeper stages of e-business transformation, the key determinant of e-business value shifts from monetary spending to higher dimensions of organizational capabilities. (5) Government regulation plays a much more important role in developing countries than in developed countries. These findings indicate the usefulness of the proposed research model and theoretical framework for studying e-business value. They also provide insight [ABSTRACT FROM AUTHOR]

With electronic retailing that offers the possibility of direct sales, is no longer need expensive business premises, or paying high rents, or employing a number of vendors. There is also the possibility of selling to final consumers in any geographical region in different countries of the world by establishing instant communication, through presenting an interactive multimedia catalog that can offer numerous information то the customers. However, on the other hand, sales through the Internet can appear certain problems. Many potential buyers in the world still do not use the Internet, others don't have fast connections, others do not speak good English, also it requires the existence of trust between both parties, buyer and seller, as well as security in the execution of transactions. The aim of this paper is to treat electronic retailing in Macedonia which is becoming more popular as worldwide, especially in developed parts of the world like the US and Europe. Macedonian companies are increasingly applying electronic method of sale and communication with customers. The number of Internet users and on-line purchase is rapidly expanding what undoubtedly indicates that there is potential for advancement in this field. Also in this paper will be presented a case study where will be analyzed the current state for development of electronic retailing in Macedonia, especially region of Ohrid.

This research aimed to identify the possibility of unifying the terms used to deal with the concept of ‘virtual business’ such as Electronic Commerce, Digital Commerce, Virtual commerce, Mobile Commerce, Electronic Business, I-Cloud Business, etc. The study employed the most appropriate and comprehensive term for this concept. The study used the deductive, descriptive method to describe the concept and explore its historical evolution. The results of the study revealed that the term "Virtual Business" is the most appropriate and accurate term for describing the concept of practicing commerce and various economic activities through the virtual world using the internet and the related technological applications. The study recommended that the Yemeni and Arab Academic institutions and also the related public and private institutions use the term "Virtual Business" in dealing with the issue of practicing commerce activities online.

Intensive application of information and communication technology (ICT), particularly Internet in selling and buying business processes have caused development of electronic business (e-business) concept. Numerous organizations in the world and in Serbia as well have implemented the concept. The basic aim of the paper is to analyze level of internet technology and e-business implementation in Serbia. The paper has theoretical background explaining concept of e-business and ICT which supports the implementation of this concept. However, empirical or practical contribution of the paper is articulated through analysis of data considering application of ICT and e-business concept in Serbia. The data considering application of ICT and e-business concept in Serbia is collected by Statistical Office of the Republic of Serbia and encompasses households/individuals and enterprises in Serbia. Results of the research presented in the paper can help executives in Serbian organizations in planning e-business concept implementation as well as researchers in deeper study of this theme.