Behavior Of Internet Users Research Articles

Content marketing and website users engagement: The impact of relevant content on the web on user engagement behaviors

The marketing landscape is changing; we are switching from traditional methods to digitalized methods to attract consumers/users. The new trend of marketing tends to gain loyal consumers. Nowadays, content marketing is used to create this trusting consumer relationship. It consists in providing valuable information in the form of content, this content is in both sides giving information to the user and strengthening bonds with the brand offering the content. This article is a study of Content Marketing linked to Website users’ engagement. Its aim is to understand how the relevance of the content and the quality of a website can influence the users’ engagement. A study of existing concepts and an exploratory research were developed in the article to find the relationship between content marketing and engagement behavior of Internet users. The article tries to understand how consumers/users perceive the content online and based on which standards they choose to engage or not. The challenge today for the enterprises is not only creating content for the users, but creating a valuable and relevant content for their consumers.

Prediction of Problematic Internet Usage of University Students by Their Attachment Styles

The purpose of this study is to predict university students’ problematic Internet use levels by their attachment styles. The participants of the study are the university students at a large university in Turkey. While the Problematic Internet Usage Scale is used to measure university students’ problematic Internet usage levels, the Relationship Scales Questionnaire is used to determine their attachment styles. The Problematic Internet Usage Scale has the following sub-dimensions: excessive usage, social benefit/social comfort and negative consequences of the Internet. The sub-dimensions of the Relationship Scales Questionnaire involve secure, fearful, preoccupied and dismissing. Descriptive statistics, correlation analysis and regression analysis were conducted to analyze the data obtained from the study. Also, correlation and stepwise regression analysis technique are used to investigate the relationship between the problematic Internet usage and the sub-dimensions of the attachment styles. The findings show that the participants have a medium-level of problematic Internet usage. The male university students are more inclined to exhibit problematic Internet usage behaviors than the female students. In addition, the preoccupied, secure and dismissing attachment styles are found to be the significant predictors of problematic Internet usage.

Problematic Internet usage and safety behavior: Does time autonomy matter?

Modern organizations must use the Internet, digital and mobile devices to respond to business demands efficiently. It is also imperative for practitioners and researchers to understand the adverse effects of problematic Internet and mobile device usage in the workplace. Moreover, findings from existing studies are insufficient or less relevant or lack applicability in the context of workplace safety behavior. This paper contributes to the literature by examining the mechanisms in which problematic Internet usage lowers workers safety behavior and the moderating role of time autonomy. Data was obtained from workers in the Turkish maritime industry using a simple random sampling technique (n = 344) and analyzed with partial least squares structural equation modeling (PLS-SEM). Results from PLS-SEM demonstrate that problematic Internet use reduces safety behavior and time autonomy enhances safety behavior. Time autonomy attenuates the negative impact of problematic Internet use on safety behavior. Unlike previous studies, this paper highlights the pernicious effects of problematic Internet use and beneficial effects of time autonomy in shaping modern workplace safety behaviors. Based on these results, several managerial prescriptions and theoretical implications are rendered, and future research directions are highlighted.

Deep learning techniques for rating prediction: a survey of the state-of-the-art

With the growth of online information, varying personalization drifts and volatile behaviors of internet users, recommender systems are effective tools for information filtering to overcome the information overload problem. Recommender systems utilize rating prediction approaches i.e. predicting the rating that a user will give to a particular item, to generate ranked lists of items according to the preferences of each user in order to make personalized recommendations. Although previous recommendation systems are effective in creating attired recommendations, however, they still suffer from different types of challenges such as accuracy, scalability, cold-start, and data sparsity. In the last few years, deep learning has attained substantial interest in various research areas such as computer vision, speech recognition, and natural language processing. Deep learning based approaches are vigorous in not only performance improvement but also to feature representations learning from the scratch. The impact of deep learning is also prevalent, recently validating its efficacy on information retrieval and recommender systems research. In this study, a comprehensive review of deep learning-based rating prediction approaches is provided to help out new researchers interested in the subject. More concretely, the classification of deep learning-based recommendation/rating prediction models is provided and articulated along with an extensive summary of the state-of-the-art. Lastly, new trends are exposited with new perspectives pertaining to this novel and exciting development of the field.

Substantiation of the conceptual approach to of promotion strategy of biotechnological products

The main approaches to the formation of a strategy for the promotion of biotechnological products are highlighted. The conceptual approach to the promotion strategy is an algorithm for the sequence of consumer assessment, namely the business entity of the environmentally oriented direction, its direction of activity, hierarchy in management, positive and negative facts, the general level of Internet activity. It also focuses on the fact that the future strategy is most effective on digital platforms and is based on the principles of Internet marketing with the use of special marketing tools and mandatory evaluation of the effectiveness of the implemented strategy at the final stage. The key features of modern Internet behavior of regular and non-permanent Internet users are revealed. The position of the reference group on the rational way of purchasing biotechnological products is highlighted, as well as the key Internet marketing tools of interaction of biologic manufacturers with their consumers. It is substantiated that at the present stage of development of biotechnological business the most rational tool of ecological marketing in online systems is the official site. The model of behavior of the management of consumer enterprises in the implementation of innovative approaches to marketing interaction in the B2B segment is described. The conceptual approach of the strategy of promotion of biotechnological products in online systems is formed and substantiated.

Use of Baidu Index to Track Chinese Online Behavior and Interest in Kidney Stones.

Background and AimBaidu, currently the top online search tool in China, has developed an internet search trends gathering and analysis tool called the Baidu Index. The aim of this study was to explore the value of the Baidu Index for monitoring online kidney stones-related information-seeking behavior and understanding of population features and priorities in China.Materials and MethodsThe Baidu Index was queried using the term “kidney stones” for the period 2014–2018. The search volume was recorded as well as a demand graph, with a geographic and demographic distribution. For surgical treatment modalities, the medical term “extracorporeal shock wave lithotripsy (ESWL)” was analyzed and then compared to the term “kidney stone surgery” to assess changes.ResultsThe search trend for the term “kidney stones” remained sustained growth over time. Searches were mostly presented by the age 20–49, in males in the south of China. The demand graph indicated that the diagnosis, followed by the treatment, and dietary control of kidney stones had received the most attention. The search volume related to ESWL showed a similar increasing trend, but was searched with a greater volume than the term “kidney stone surgery” for most of the last 5 years.ConclusionThe Baidu Index is a useful tool to track online health information-seeking behavior of internet users in China. The geographic and demographic characteristics in kidney stones seem to be reflected in online search trend data to some extent.

DOES INTERNET USAGE FREQUENCY GIVE IMPACT TO STUDENT’S ACADEMIC PERFORMANCE?

In the last decade, the development of technology has been growing rapidly. Internet—as a part of technology—became one of the very important things for many people. The usage of internet had been increasing in the last few years. It happened to people with various backgrounds and ages around the world. There is an interesting phenomenon that nowadays internet usage behavior is not only happened to adult but also happened to student at school. Some studies have found that internet usage had negative effect on student’s academic performance. But another study emphasized that positive internet usage behavior gave significant effect on academic outcome. In this study, we distinguish internet usage behavior into two categories, viz. general internet user and professional internet user. General internet user refers to internet usage behavior that focus on communication and entertaining purposes. Otherwise, professional internet user refers to productive activities in using internet like searching for information and doing some works that are relevant to assist finishing academic’s tasks. This study aims to find the influence of internet usage—general and professional—on student’s academic performance in Indonesia. Internet usage behavior measured by 2019 Student’s National Examination Survey from Center for Educational Assessment Indonesia. While, student’s academic performance represented by 2019 Indonesian National Examination Score. In addition, studies found that student’s socio-economic status (SES) had influence on their pattern of internet use. Then, this study determined SES as control variable in order to find comprehensive explanation about impact of internet usage on student’s academic outcome.

Understanding the Effects of Internet Usage Behavior on eWOM

Drawing on consumer socialization theory, this research investigates the impact of egoism, sense of belonging, and internet usage on young Chinese consumers' electronic word of mouth (eWOM). Normative and informative internet mediates the relationship between internet usage and eWOM. Furthermore, the role of TAM factors was explored in the structured model. A total of 876 Chinese consumers participated in the online survey. Structure equation modeling was adopted in the data analysis stage. The findings suggest that egoism, sense of belonging, and internet usage have positive influences on electronic word of mouth. Two factors of TAM (perceived usefulness and perceived ease of use) significantly moderates the relationship between egoism, sense of belonging, and e-WOM. Finally, informative and normative internet significantly mediates the relationship between internet usage and e-WOM. This study provides deeper understanding of young Chinese consumers' internet usage behavior. Implications for academicians and managers are discussed.

Nature or Science: what Google Trends says

Nature and Science are two major multidisciplinary journals, well-known among the general public and highly-cited by scholarly communities. This article presents Google Trends, a web service providing detailed information on the Google search behavior of Internet users from all countries during the period 2004–2019 and illustrates the preference between Nature and Science. The research shows a general decrease of the demand for both journals and reveals a substantial growth in demand for Nature in some geographic regions and a decline of the interest to Science in many regions. We also found a better affinity to Nature by the general audience and a better affinity to Science in former USSR scholarly allies. This situation is explained on one hand by the editorial policy of the two journals and on the other hand by the influence of the cold war and its aftermath on worldwide scientific societies and the ongoing interest in research areas in different geographic regions.

The Analysis of Behavior of Internet Users from the Perspective of Safety

The Internet has become a ubiquitous medium that absorbs a greater proportion of our time. In addition to its unquestionable advantages, it presents a number of threats to the security of its users. The aim of the article is to analyse the ways in which individuals in different countries use the Internet and to examine the security implications resulting from the increasing popularity of the medium. The study demonstrates the results of a research conducted in the years 2018-2019 on a population of 562 Internet users from three countries: Spain, Poland and Turkey. The analysis of the results creates a gloomy picture of network users, who - despite risk awareness - do little to defend themselves against the threats until personally affected.

ASAS “DAPAT DILAKSANAKAN” DALAM PERATURAN PERPAJAKAN

Tax revenues paid by taxpayers are the main source of state revenue at this time. Individual and corporate taxpayers owed tax in Indonesia are spread throughout the territory of Indonesia. However based on the data, the tax ratio of each province is vary. Therefore, in this paper we will discuss whether the existing tax regulations are in accordance with the existing conditions.This study uses a qualitative descriptive method. Based on the research, due to the principle "can be implemented" in the Law of the Republic of Indonesia Number 12 of 2011, several current tax regulations have been formulated without considering existing conditions namely the geographical conditions of various tax offices’s work areas, the uneven availability of the internet in each region along with the unsupported behavior of internet users for electronic services, and unavailability of the postal services in some villages. Those make taxation regulations difficult to be implemented in all regions of Indonesia and do not support the optimum collection of taxes in all regions of Indonesia. The aim of the research is to provide recommendations to the DGT to improve the tax regulations to a better level.

How to Reach Technological Early Adopters? An Empirical Analysis of Early Adopters’ Internet Usage Behavior in Germany

Early adopters (EAs) represent a crucial group of consumers in the diffusion of innovations. Therefore, reaching potential technological EAs for up-and-coming innovations is of vital importance. However, little is known as to how potential EAs for new technologies use the Internet. Our study examines the Internet usage of EAs in comparison to the general public and gives an overview of 15 different channels. Consequently, we classified EAs and analyzed a vast set of data containing 119[Formula: see text]829 subjects. The results demonstrate significant differences between EAs and the remaining population and offer marketers new insights into EAs’ Internet usage behavior.

Гендерні особливості англомовної Інтернет-комунікації

У статті виявлено та проаналізовано основні гендерні характеристики англомовної мережевої комунікації. Встановлено, що мережева комунікація має ґендерну маркованість, яка виражається у приналежності до категорій фемінності та маскулінності. Диферентні особливості чоловічої та жіночої мережевої комунікації проявляються на лексичному, фонетичному, стилістичному та синтаксичному рівнях.

Online Pornography Seeking Behavior and Its Relation to Literacy Rate and Financial Status of Indian States

Background: Pornography has become widely accessible due to the popularization of smartphones and internet connectivity. Consuming pornography has multiple effects on an individual and on society. Our research question was if pornography-seeking behavior has any correlation with education and financial status in Indian states.Objective: To find the online pornography-seeking behavior of Indian internet users according to states and find its correlation with the literacy level and per capita net state domestic product (NSDP).Methods: Trends of internet search about pornography-related keywords (namely, porn, XXX, Xvideos, and sex) were obtained from a public domain https://trends.google.com/trends . State-wise relative search volumes were compared with the literacy rate and NSDP of the state. Pearson correlation coefficients were calculated with the help of GraphPad Prism 6.01 (GraphPad Software, Inc., California, USA). A P < .05 was considered statistically significant.Results: Northeastern states showed a higher volume of overall online pornography searches. There was no significant correlation between the literacy rate and relative search volumes of pornography-related keywords. Overall pornography-related search volume showed a significant negative ( r = –0.49, P = .003) correlation with NSDP.Conclusion: Online pornography seeking behaviors in Indian states are not related to the literacy rate of the state. A higher volume of searches is from states with lower NSDP. The underlying factors for this finding should be explored in a future study.

The Perceptual Load Effect On Target Detection In Banner Blindness

Perceptual load theory claims that the processing of task-irrelevant information can be predicted by the level of perceptual load. If a particular task places a high demand on attention, the task-irrelevant stimuli processing can be prevented. That means that in high load condition the subjects are more likely to ignore distractors, while in low load task-relevant and task-irrelevant information is processed simultaneously. Though several studies showed that perceptual load can play a crucial role in inattentional blindness phenomenon, there is a lack of applied researches conducted on real-life tasks. Current study aimed implement load theory to a real-life task and to describe the effect it has on banner blindness, that has common grounds with inattentional blindness. Banner blindness is a phenomenon in usability studies which shows that subjects do not notice banners on the webpage despite their saliency. The study represents an important application of load theory to real-world behavior of Internet users. Participants were divided into low-load and high-load groups (that differed in number of presented stimuli) and asked go online shopping. At the critical trail, a banner appeared. The subjects under high load condition were expected to notice the banner less often, then under low load. The hypothesis was not supported. However, a tendency towards more reports about the banner’s presence can be seen in the low load group. We assume that if there are enough people who noticed the banner, we will be able to detect the effect of cognitive load on banner blindness.

Speech behaviour of Internet users in conflict communication

This article explores the expression of impoliteness of Internet users in confrontational threads. This approach involves the identification of speech aggression markers typical of a certain type of discourse. This makes it possible to define the roles and attitudes of partici­pants in the conflict interaction. The authors employed methods of discourse analysis and corpus tools of data collection and marking. Seven confrontational threads in the communities of the social network "Vkontakte" were analysed. The authors identified language markers of the switch from cooperative to confrontational speech interaction. The authors investigated the typical roles of communicators in a confrontational thread, and observed the dynamics of using aggressive language tools for each of the proposed strategies. The article describes typi­cal situations for the confrontational threads: reliability of the information presented, lack of the user's intention to check facts, and the violation of spelling and punctuation rules. Con­frontations around these situations tend to lead to more complex conflicts and are character­ized as motives typical of impolite communication.

Symptoms of anxiety and depression in social media in connection with the threat of COVID-19

Professional literature usually perceives the Internet and social media from the perspective of threat. Many papers describe the risk of using the Internet, both practical one concerning threatened security or finances and psychological one pertaining to addiction or depression. However, more and more often the cyberspace is treated as the research subject in itself or an area where one can analyse behaviours of Internet users. This paper is an example of the latter approach. With the help of the Big Data analysis of social media, Kessler Psychological Distress Scale (K10) shall be used to compare how often suicidal behaviour symptoms occurred in Internet users’ posts this year and the year preceding the COVID-19 threat.

Development and Validation of a New Measurement Instrument

Rapid changes in internet use and, consequently, digitalization of almost every aspect of human life lead inevitably to significant problems in information security and social engineering. As previous studies have shown, the biggest problem in internet security is the behavior of internet users. The aim of this study was to develop and validate a new and reliable instrument that would measure information security and awareness of every information-communication user in a short period of time. The development and validation of the new measurement instrument, Behavioral-Cognitive Internet Security Questionnaire (BCISQ), was conducted in three phases. The final version consists of 4 subscales (2 behavioral and 2 cognitive) with a total of 17 items. The results revealed good psychometric characteristics of the BCISQ and showed that a short and reliable questionnaire measuring information security (behavioral aspects of internet security) and users' awareness (cognitive aspects of internet security) was successfully developed.

A meta-analysis to explore privacy cognition and information disclosure of internet users

Based on the Elaboration Likelihood Model (ELM), this study identifies the differences between perceived privacy risks and privacy concern. Furthermore, the study analyses how perceived privacy risks and privacy concerns affect the disclosure intention and the actual information disclosure behavior of Internet users. In addition, the study discusses the moderating effects of platform types, from the perspective of privacy elaboration likelihood. By applying meta-analyses and SEM on 104 independent studies with 42,256 samples from existing empirical studies, we attempt to systematically reveal the relationship between privacy cognition and information disclosure. The results show that perceived privacy risks can significantly reduce personal information disclosure intention, as well as actual information disclosure behavior. However, privacy concerns only affect disclosure intention, but do not have a significant effect on actual information disclosure behavior. The study also verified that platform types have moderating effects on the privacy decision making of Internet users. The findings yield important and useful implications, both for research and for practice.

Automatic detection advantage of problematic Internet users for Wi-Fi signal cues and the moderating effect of negative affect: An event-related potential study

Cognitive bias toward Internet-related cues is an important factor of the formation and maintenance of the addictive behavior of problematic Internet users (PIUs). The development of fiber-optic communication and smartphones has ushered human society into the era of wireless networks. The Wi-Fi signal, the symbol of wireless network connection, represents not only network access but also a channel for communication with others anywhere at any time. Therefore, the Wi-Fi signal cues should be an effective inducer of the addictive behaviors of PIUs. We used images of Wi-Fi signal as Internet-related cues to explore the automatic detection advantage of PIUs for these cues and to determine whether negative affect, another predisposing factor for addiction, can enhance this advantage. We utilized an intergroup design in this study. The PIU and control groups each comprised 30 participants and were randomly assigned to negative or neutral affect priming group. Mismatch negativity (MMN) was induced through the deviant–standard reverse oddball paradigm. Wi-Fi signal cues and neutral cues were used as standard and deviant stimuli, respectively. Results show that the MMN induced by Wi-Fi signal cues in the PIU group was larger than that in the control group. Meanwhile, the MMN induced by Wi-Fi signal cues was considerably enhanced in the PIU group under negative affect priming relative to that in the PIU group under neutral affect priming. Overall, PIUs have an automatic detection advantage for Wi-Fi signal cues, and negative affect can enhance this advantage. Our results suggest that the MMN elicited by Wi-Fi signal cues function as a sensitive neurobiological marker tracing the change of addiction motivation for PIUs.