Models of Consumer Behavior on the Example of Generations

2021 ◽  
pp. 14-18
Author(s):  
Irina Fomicheva ◽  
V. Polyakov
Keyword(s):  
Social Networks ◽  
Consumer Behavior ◽  
Black Box ◽  
Opinion Leaders ◽  
Libertarian Paternalism ◽  
Behavioral Characteristics ◽  
Marketing Model ◽  
Market Situation ◽  
Behavior Based

The article considers modern models of consumer behavior depending on the market situation in society: models of a rational consumer of the neoclassical school, a model of a socio-economic person, neoinstitutionalism, the doctrine of "libertarian paternalism" and a marketing model of a black box. A method for substantiating consumer behavior based on the concept of marketing experiences is proposed. The behavioral characteristics of people are considered on the example of generations BB, X, Y and Z. It is substantiated that it is the value basis that has formed among representatives of generations BB and Y that continues to have a significant impact on social networks and “opinion leaders”.

scholarly journals Improved Leach algorithm for detecting opinion leaders in social networks

2020 ◽  
Author(s):  
Yasser Elmi
Keyword(s):  
Social Networks ◽  
Opinion Leaders ◽  
Correlation Degree ◽  
Common Application

<p>The most important features of the proposed method include: 1) introducing an innovation in Leach algorithm and applying it in a different field from its common application, 2) using standard centrality indicators to calculate the correlation degree in order to improve the identification of opinion leaders in social networks, 3)this algorithm is completely automatic and works without operator intervention.</p>

MARKETING FACTORS THAT DETERMINE THE CONSUMER BEHAVIOR OF GENERATION Z

2021 ◽  
Vol 1 (181) ◽  
pp. 65-74
Author(s):  
N.F Soldatova ◽  
◽  
I.V Kutnyuk ◽  
Keyword(s):  
Social Networks ◽  
Consumer Behavior ◽  
Industry 4.0 ◽  
Strategic Marketing ◽  
Generation Z ◽  
Digital Ecosystem ◽  
Product Service ◽  
Working Age ◽  
Working Age Population

The concept of «Industry 4.0», which is actively developing in Russian companies, involves the end-to-end digitalization of assets and their integration into the digital ecosystem, developing the chain of creating the actual value of a product (service). As digital ecosystems develop, marketing, including strategic marketing, is also being modernized. SMM is being transformed from «page management in social networks» to one of the main marketing tools of our time. The choice of social platforms for the company’s presence is an important moment in the formation of the SMM-strategy. Companies implementing SMM should create optimal marketing content that will strengthen relationships with consumers and ensure not only long-term and favorable communications, but also create sustainable results in the activities of companies. Today, more than 25% of the working-age population of Russia is accounted for by generation Z, which has replaced millennials, which has its own characteristics and specifics of consumer behavior. For a deeper understanding of Generation Z consumers, the authors conducted a study of the factors that influence the model of consumer behavior in the B2C market.

Features of Influence of Opinion Leaders on Consumers

2021 ◽  
Vol 1 (59) ◽  
Author(s):  
Aizhana Maldynova
Keyword(s):  
Social Networks ◽  
Quantitative Research ◽  
Online Marketing ◽  
Opinion Leaders ◽  
Social Connections ◽  
Daily Routine ◽  
Motivating Factors ◽  
Theoretical Significance ◽  
Use Of Social Media ◽  
First Time

With the advent and active development, social networks have gained the attention of a million audience. Now it is difficult to imagine a person who does not have a profile in at least one social network. The use of social media has become a daily routine: some use sites and applications to maintain existing social connections, others - to find people with similar interests, views, activities or other motivating factors [1]. The purpose of this study is to establish the factors that influence the level of perception of the message by the audience in social networks. In this work, a quantitative research method is used. The relationships were established using correlation analysis. To analyze the data obtained, the SmartPLS software was used, which makes it possible to highlight the characteristics that have the greatest impact on the manifestation of initiative behavior. The novelty of the research lies in the fact that for the first time the factors influencing the level of perception of messages from Kazakhstani opinion leaders by the audience in social networks were studied. The results of this study are of high theoretical significance, as they can be used in teaching disciplines such as Internet marketing, digital marketing, consumer behavior and strategic marketing. In addition, this study is notable for its practical benefits, since the conclusions drawn contribute to the formation of a competent online marketing strategy in the enterprise

The Federal Trade Commission and the Regulation of Advertising in the Consumer Interest

1969 ◽  
Vol 33 (1) ◽  
pp. 40-44 ◽  
Author(s):  
Dorothy Cohen
Keyword(s):  
Consumer Behavior ◽  
Federal Trade Commission ◽  
Behavioral Science ◽  
Science Research ◽  
Regulatory Framework ◽  
Behavioral Characteristics ◽  
Consumer Interest ◽  
Behavioral Science Research

Behavioral science research has uncovered various facets of consumer behavior that have significance in setting standards for protection from advertising abuse. This article suggests that the Federal Trade Commission take note of the behavioral characteristics of the consumer and amend its regulatory framework accordingly.

scholarly journals A Trustworthy SIoT Aware Mechanism as an Enabler for Citizen Services in Smart Cities

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 918 ◽  
Author(s):  
Ateeq Ur Rehman ◽  
Rizwan Ali Naqvi ◽  
Abdul Rehman ◽  
Anand Paul ◽  
Muhammad Tariq Sadiq ◽  
...  
Keyword(s):  
Social Networks ◽  
Information And Communication Technologies ◽  
Online Social Networks ◽  
Information Technologies ◽  
Smart Cities ◽  
Trust Model ◽  
Human Interaction ◽  
Opinion Leaders ◽  
Local Cluster ◽  
Information And Communication

In the recent era, new information technologies have a significant impact on social networks. Initial integration of information and communication technologies (ICT) into city operations has promoted information city, ease of communication and principles of smart communities. Subsequently, the idea of the Internet of Things (IoT) with the specific focus of social IoT (SIoT) has contributed towards the smart cities (SC), which support the city operations with minimal human interaction. The user-generated data obtained by SIoT can be exploited to produce new useful information for creating citizen-centered smart services for SC. The aim of this research is twofold. Firstly, we used the concept of local and global trust to provide new services in SC based on popular online social networks (OSN) data used by the citizens. Secondly, the sustainability of the three different OSN is assessed. This paper investigates the social network domain with regard to the SC. Although in SC, OSN are increasing day by day, there is still an unresolved issue of trust among their users and also OSN are not much sustainable. In this research, we are analyzing the sustainability of different OSN for the SC. We employ datasets of three different social networks for our analyses. A local trust model is used to identify the central user within the local cluster while the global trust-based framework is used to identify the opinion leaders. Our analysis based on the datasets of Facebook, Twitter, and Slashdot unveil that filtration of these central-local users and opinion leaders result in the dispersion and significant reduction in a network. A novel model is being developed that outlines the relationship between local and global trust for the protection of OSN users in SC. Furthermore, the proposed mechanism uses the data posted by citizens on OSN to propose new services by mitigating the effect of untrusted users.

scholarly journals Learning to be a mother: Comparing two groups of Chinese immigrants in the Netherlands

2019 ◽  
Vol 28 (2) ◽  
pp. 220-241
Author(s):  
Lijie Zheng ◽  
Mariëtte de Haan ◽  
Willem Koops
Keyword(s):  
Social Networks ◽  
Chinese Immigrants ◽  
Black Box ◽  
Immigrant Parents ◽  
Long Distance ◽  
Dense Networks ◽  
Immigrant Mothers ◽  
Parenting Knowledge ◽  
Parental Ethnotheories ◽  
Shed Light

Immigrant parents may have to rebuild their parenting knowledge after migration to keep up with their new milieu. Comparing two subgroups of Chinese immigrants, economic and knowledge immigrants, this study shows that the construction of different parental ethnotheories can be understood through the characteristics of their parenting knowledge acquisition, social networks and networking strategies. Findings from ego-network interviews with 15 economic immigrant mothers and 20 knowledge immigrant mothers indicate that the former tends to obtain practical tips and specific instructions directly from experts and acquire practical help from local, co-ethnic, small and dense networks, while the latter engages in critical peer-based learning in multicultural, open and long-distance networks. This study argues that a social network perspective can shed light on the “black box” of how parenting theories are reconstructed after migration.

scholarly journals Research on the discovery of opinion leaders in social networks

2019 ◽  
Vol 563 ◽  
pp. 032009
Author(s):  
Chufeng Zhou ◽  
Xinxin Guan ◽  
Yeli Li ◽  
Qingtao Zeng
Keyword(s):  
Social Networks ◽  
Opinion Leaders

Choosing to stay away: Soccer fans’ purposeful avoidance of soccer events

2016 ◽  
Vol 28 (1) ◽  
pp. 231-246 ◽  
Author(s):  
Ilan Tamir
Keyword(s):  
Social Networks ◽  
Behavioral Patterns ◽  
Soccer Team ◽  
Behavior Based ◽  
Soccer Fans ◽  
Depth Interviews

Against conventional patterns of fandom loyalty, it is interesting to examine the behavioral patterns of enthusiastic fans who specifically choose to distance themselves from their favorite team and from reality during decisive matches. The present study explores the reasons and implications of such behavior, based on in-depth interviews with 19 soccer team fans in Israel who practice such purposeful avoidance. Findings show that such purposeful avoidance of games is generally motivated by a desire to avoid a source of stress or can be attributed to an illusion of influence, where purposeful avoidance is part of rituals whose irrationality is recognized by the fans themselves. Today, in the era of ubiquitous smartphones and social networks, purposeful avoidance becomes a true challenge.

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