Socioeconomic Characteristics Of Users Research Articles

Different mode, different travel? Insights into the travel behavior of e-scooter sharing using credit card big data and a mobile survey in Seoul

Different mode, different travel? Insights into the travel behavior of e-scooter sharing using credit card big data and a mobile survey in Seoul

The Digital Transformation of the EU Market The Digital Single Market Strategy in the Context of E-Commerce Development Diversification in Czechia, Poland and Slovakia

Purpose: The paper aims to assess differences and similarities between e-commerce development in Czechia, Poland and Slovakia in the context of the EU’s Digital Single Market strategy. The theoretical framework of the paper is based on synthetic considerations related to the digital transformation and development of the EU digital economy. The DSM strategy identifies the barriers to e-commerce market development in the European space and sets directions for legal changes, creating favorable conditions for building a strong e-economy including e-commerce and a modern digital society in all EU member states. Design/methodology/approach: The empirical part of the paper presents differences in e-commerce development in three countries: Czechia, Poland and Slovakia. The research was based on the analysis of the literature and secondary sources. The former allowed for the identification of the consequences of the DSM strategy for the development of e-commerce in the EU member states, the latter allowed for a comparative assessment of e-commerce development in the three surveyed countries. The adopted research method allowed for the assessment of the size, structure and dynamics of the development of the e-commerce market in the three countries covered by the research. Findings: The presented analysis describes the status, conditions and development trends in e-commerce in Czechia, Poland and Slovakia. The three analyzed countries are – to a large degree – uniform in terms of cultural, historical and economic aspects. The development of e-commerce in these countries is similar, but it is also characterized by considerable differences. The similarities refer to the level of informatization, the socioeconomic characteristics of users and e-consumers, development projections until 2023, and the social acceptance of online shopping. Simultaneously, the analyzed countries have diversified industry structures of online markets, they differ in the values of ARPU indices and record considerably lower values of online shopping per capita as compared with average EU standards. Limitations in developing transborder trade are due to similar factors as in other EU member states. Research limitations/implications: The article, by its nature, has its limitations. They result from the concentration of considerations on the formal side of DSM – assessment of the DSM project architecture, its priorities and identification of opportunities and conditions of its implementation in each member country. The problem of diversifying e-commerce development in three countries is general and limited in the space of analysis. The limitations apply to the use of one research method, which is nonetheless important and adequate to the problem. When designing future research, we indicate the need to use methodological triangulation. An important and interesting direction of future research will be detailed studies of e-consumers, e-commerce strategies of enterprises and the extension of research to other countries, to the international environment. Originality/value: The presented comparative analysis is significant from the perspective of its cognitive value. It combines an approach of management sciences with the macro- and microeconomic perspective. The former represents a platform of corporate functioning and its development in the environment of networks, new business models and new consumer characteristics, behaviors and assessments of companies’ marketing offerings. The other perspective is expressed by a new macro- and microeconomic environment, the character of regulation, transborder online competitive mechanisms, continuous processes of digital transformation and e-economy development. The results of the research can lead to further research of corporate management and transborder strategies in the environment of the digital transformation and creation of the digital single market across Europe.

Development of e-governance in Ukraine based on the concept of m-governance

Technological solutions within the concept of m-governance accelerate the provision of public services to citizens under certain conditions. The main prerequisites for efficiency are the expected perception of technology, trust in the government’s actions, the expected efficiency and quality of electronic communications. The purpose of the research is to study the trends and problems of e-governance development in Ukraine on the basis of the concept of m-governance through the assessment of the usability of the mobile application of the government “Diia” (“Action”). This study is based on the concept of m-governance, a technocentric approach to quantifying the usability of mobile applications within the digital concept of Ukraine “Country in your smartphone”. Based on a survey of 800 users, the usability of the mobile application “Diia” was assessed. The article is based on a comparison of the practice of developed and developing countries. It has been revealed no differences in the effectiveness of the integration of the concept of m-governance. The results prove the importance of usability criteria in the use of mobile applications, but there is no connection between the socio-economic characteristics of users and usability. The study proves the importance of emotional components in the integration of the concept of m-governance: trust, perception, expectations of citizens. Integration strategy and tactics are important, as digital user skills and application specifications (visibility, user control and freedom, consistency and standards, error prevention, recognition, flexibility and efficiency of use, aesthetic and minimalist design, help users recognize, diagnose, and recover from errors, help and documentation). Both the government and citizens are responsible for the effectiveness of technological interaction solutions. The study proves that the government should ensure the formation of confidence in the effectiveness of technology, develop a strategy, tactics of integration based on best practices. On the other hand, citizens are responsible for their own technological readiness through an objective assessment of digital skills.

An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China

Abstract In the context of the booming sharing economy, shared bicycles as an important part of the sharing economy have been studied by many scholars, and these researches mainly focus on the socioeconomic characteristics of users and the system design level of shared bicycles, it is very necessary to study the evaluation method of shared bicycles which is a typical multi-attribute decision- making (MADM) problem. Firstly, the linguistic spherical fuzzy numbers (Lt-SFNs) is proposed to express the public’s language evaluation information. Compared with the linguistic intuitionistic fuzzy numbers (LIFNs) and the linguistic q-rung orthopair fuzzy numbers (Lq-ROFNs), Lt-SFNs have a wider information expression range. Then, in order to integrate the language evaluation information, the linguistic spherical fuzzy weighted averaging (Lt-SFSWA) operator is proposed, which can aggregate the group linguistic evaluation information. Further, the MABAC (Multi-Attributive Border Approximation area Comparison) method is extended to the linguistic spherical fuzzy environment and the Lt-SFS-MABAC method is proposed, which can process linguistic evaluation information and select an optimal alternative from a plurality of alternatives. At the same time, the TODIM (an acronym in Portuguese of Interactive and Multicriteria Decision Making) method is extended to the linguistic spherical fuzzy environment and the Lt-SFS-TODIM method is proposed. Lastly, we conducted sensitivity analysis and comparative analysis of the Lt-SFS-MABAC method, the Lt-SFS-TODIM method and the Lt-SFSWA method. The results show that the Lt-SFS-MABAC method is sensitive to weights, decision makers can use the Lt-SFS-MABAC method to make a realistic evaluation based on the actual environment.

Analysis of household broadband technology preferences in Slovenia

This paper empirically examines the factors broadband users take into account when choosing their fixed broadband access mode in Slovenia. The conditional logit model was employed incorporating the survey data. The results reveal that the socioeconomic characteristics of users (age, education, gender, presence of student/pupil in the household, living in the city, subscription to TV services, and preferences for speed) influence the choice between different broadband access modes. Contrary to our expectations, access mode characteristics (the price, the download speed) have no statistically significant impact on the choice of the broadband access mode. This may be attributed to the intense price competition among different broadband technologies resulting in the price convergence and behavior of users, which tend to use the internet mainly for basic services. The results of the analysis may hold important implications for internet service providers when identifying appropriate strategies to attract customers to subscribe to their broadband technologies.

Perceptually important points of mobility patterns to characterise bike sharing systems: The Dublin case

Abstract Since the first Bike Sharing System (BSS) was introduced in Amsterdam (1965), studies about BSSs have constantly increased. BSSs studies are typically focused on user's socio-economic characteristics, bike sharing patterns and purpose of use in the city. This paper increases the knowledge of bike station classification due to users' mobility patterns based on data mining tools. For this purpose stations will be identified by a code based on joining three ratios: the load factor or number of available bikes ratio, the cumulative trips ratio, and the turnover station ratio. The latter is the new ratio proposed in this paper, which measures the effectiveness degree of each station. The higher the rate, the more effective the station is. Data mining tools to work with these three ratios are used in the proposed algorithm. Specifically, the perceptually important points (PIP) process to represent and index each time series of each station, and a rule set to classify the stations, are used. The results could support planning and operations decisions for re-design and management of BSSs in relation to the spatial implications of the stations and the users' mobility patterns, due to the classification reveals imbalances in the distribution of bikes and lead to a better understanding of the system structure. The proposed method is applied to the Dublin Bikes Scheme with good performance results.

The geography of Twitter topics in London

Social media data are increasingly perceived as alternative sources to public attitude surveys because of the volume of available data that are time-stamped and (sometimes) precisely located. Such data can be mined to provide planners, marketers and researchers with useful information about activities and opinions across time and space. However, in their raw form, textual data are still difficult to analyse coherently and Twitter streams pose particular interpretive challenges because they are restricted to just 140 characters. This paper explores the use of an unsupervised learning algorithm to classify geo-tagged Tweets from Inner London recorded during typical weekdays throughout 2013 into a small number of groups, following extensive text cleaning techniques. Our classification identifies 20 distinctive and interpretive topic groupings, which represent key types of Tweets, from describing activities or informal conversations between users, to the use of check-in applets. Our motivation is to use the classification to demonstrate how the nature of the content posted on Twitter varies according to the characteristics of places and users. Topics and attitudes expressed through Tweets are found to vary substantially across Inner London, and by time of day. Some observed variations in behaviour on Twitter can be attributed to the inferred demographic and socio-economic characteristics of users, but place and local activities can also exert a considerable influence. Overall, the classification was found to provide a valuable framework for investigating the content and coverage of Twitter usage across Inner London.

Español

The goal of the study was to determine the limiting factors and their association with access and use of the growth and development component in children from 0-5 years old of the Primary Care Center II, Chilca, ESSALUD 2014 in the province of Huancayo. The research is of correlational scope, transversal and retrospective design. The population was represented by 3806 health-ensured children under the age of five, the sample was 350 children. Descriptive statistics, frequency distribution, contingency tables, and the Chi square test were used. As a result, 10 % of children do not use the component frequently; 12,5 % of middle class rarely attend the facility compared to 2,3 % of the upper class; 77,3 % of mothers living far away attend frequently, unlike the 93,2 % who live nearby, 22 % of those who attend less frequently consider that the number of professionals is insufficient as opposed to the 7 % who claims that it is enough. Some findings indicate that the limiting factors associated with the access and uses of the Growth and Development component are: inadequate and insufficient promotion component, the perception of quality of care, user socioeconomic characteristics, beliefs regarding the children’s health, user´s ignorance of the component’s real meaning, the characteristics of the internal organization of the establishment and geographic accessibility.

Challenges to the efficient use of point of sale (POS) terminals in Nigeria

The relevance of efficient payment systems is a subject of interest to all stakeholders. This study analyzed the challenges to the efficient use of point of sale (POS) terminals in Nigeria. Socio economic characteristics of users and non users were also examined. Cross sectional data were collected from 650 randomly sampled respondents from 20 local government areas of Lagos State, Nigeria. Data collected were analyzed using Friedman and Kendall ranking order test. The finding of this study showed that that the most challenging factor to the efficient use of POS is network failure, frequent power outage; limited numbers of POS per merchant store where they are available, security of communication over the network and unavailability of the POS at all merchant stores. Efforts at improving the security of transactions is recommended in order to drastically reduce excess cash flow especially in developing economies. Key words: Debit cards, payment pattern, point of sale terminal, Nigeria.

Web-Based GIS in Tourism Information Search : An analysis of the effect of socioeconomic characteristics on perception and behavior

Among the Internet applications, Web-based spatial data service (WebGIS), e.g. Google Maps, Yahoo Maps, and Bing Maps, has promised a new generation of information platforms and expanded the ways in which travel information can be accessed. However, we know little about the population who seeks tourism and recreation information through WebGIS. Therefore, the purpose of this study was to delineate the tourism-information seekers’ perceptions toward WebGIS and their use behaviors associated with tourism situations and patterned by user socioeconomic characteristics. An electronic self-administered survey was developed for the investigation. ANOVA was employed to conduct analyses. Sex showed to be influential in information search behavior. In comparison to other factors, the factor of age differentiated the behaviors and perceptions toward WebGIS in a wide spectrum. In general, education as a factor distinguished the use motive and interest areas. The factor of income levels among respondents showed little influence in the attitude toward or preference for WebGIS services.

Variability in Use Among Ski Areas: A Statistical Study of the California Market Region

Skiing is an important and rapid growth recreation industry. During the 1963–64 season, skiers spent $35.1 million in the pursuit of this activity in California alone. This paper develops analytical models potentially useful to both private and public decision makers as they try to cope with problems associated with forecasted increases in demand for skiing facilities. Results of surveys of ski areas in California and in adjacent areas of western Nevada are used in multiple regression models which attempt to explain differences in skier-day visits. Our results indicate that (1) use decreases with more costly day tickets; (2) use increases in response to larger total lift capacities; and (3) a complementary relationship exists among nearby ski areas, but it is advantageous to be the dominant supplier in a given area. The potential usefulness of additional variables not available to this analysis (including origins and socioeconomic characteristics of users and increased knowledge of the physical attributes of ski areas) is discussed, as well as the probable merit of extending the cross-sectional analysis to take into account factors which are important over time. The results demonstrate the potential usefulness of analytical methods in evaluating skier use for decision-making purposes and should prove useful to subsequent research activity focusing on the ski industry.