Investigating the Impact of Social Network Marketing on the Bank Customers’

2021 ◽  
pp. 119-134
Author(s):  
Fataneh Yarahmadi ◽  
Farzaneh Yarahmadi ◽  
Behzad Sanjari Nader
Keyword(s):  
Social Network ◽  
Network Marketing ◽  
The Impact

The Impact of Social Network Marketing on University Students' Purchase Intention and How It Is Affected of Consumer Engagement

2020 ◽  
Vol 6 (2) ◽  
pp. 87-91
Author(s):  
Hartiwi Prabowo ◽  
Rini Kurnia Sari ◽  
Stephanie Bangapadang
Keyword(s):  
Social Network ◽  
Data Collection ◽  
University Students ◽  
Purchase Intention ◽  
Research Method ◽  
Quantitative Research ◽  
Consumer Engagement ◽  
Network Marketing ◽  
Consumer Purchase Intention ◽  
The Impact

The research conducted is to know the impact of social network marketing on consumer purchase intention and consumers who become research are active students at private universities in Jakarta, and how social network marketing also affect consumer engagement (as moderate variable). The research method used in this research is quantitative research method. A method of data collection used in this research is a questionnaire distributed to 119 university students. The results of this study showed that social network marketing has a strong and significant impact oncustomer engagement, customer engagementhas a strong and significant impact on consumer purchase intention, social network marketing has a strong and significant impact consumer purchase intention, and also there is a significant impact from social network marketing on consumer purchase intention through consumer engagement.

scholarly journals The impact of social network marketing on consumer purchase intention in Pakistan: A study on female apparel

2019 ◽  
pp. 1093-1104 ◽  
Author(s):  
Rozina Imtiaz ◽  
Syeda Qurat ul Ain Kazmi ◽  
Maheen Amjad ◽  
Atif Aziz
Keyword(s):  
Social Network ◽  
Purchase Intention ◽  
Network Marketing ◽  
Consumer Purchase Intention ◽  
The Impact

Impact of Social Networks on Brand Value Based on Customer Behavior Using Structural Equations

2018 ◽  
Vol 9 (3) ◽  
pp. 50-67
Author(s):  
Reyhane Radpour ◽  
Ali Reza Honarvar
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Structural Equation ◽  
Equation Model ◽  
Structural Equations ◽  
Social Networking Site ◽  
Brand Value ◽  
Network Marketing ◽  
Regional Markets ◽  
The Impact

One of the most influential services provided on the internet is an online social networking site. With increasing competition in global and regional markets, having a brand is not a choice, but an inevitable necessity that in the case of negligence, there could be a reduction in the product market. The present article examines the impact of social network marketing on the creation of customer-specific brand value. In this article, 384 people were selected randomly. Data was collected using a social networking and brand equity questionnaire. After collecting the data, a structural equation model of research hypotheses was used, specifically LISREL and SPSS software for data analysis. Findings of the analysis indicate that all aspects of social network marketing are effective in creating a brand-specific brand value for the customer.

scholarly journals Branding in the age of social media: how entrepreneurs use social networks to boost their service-based businesses

2017 ◽  
Vol 2 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Alexandra Ioanid ◽  
Dana Corina Deselnicu ◽  
Gheorghe Militaru
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Business Development ◽  
Brand Name ◽  
Network Marketing ◽  
Online Activities ◽  
The Impact ◽  
A Company

Abstract The basics of product and service branding are generally the same. However, creating a brand for a company that offers services requires more effort because the services are hard to visualize and each client has different expectations. More than promoting any of the services, branding aims to create a perception of trust so that the brand name to be associated with integrity, quality, and innovation. The purpose of this paper is to determine how entrepreneurs develop their service-based business through social networks branding and also what are the benefits obtained from each method. The authors have researched previously what is the impact of social network marketing on business development and noticed that service-based businesses tend to obtain benefits from different activities comparing to product-based businesses. The authors researched through a semistructured questionnaire the online activities of 71 SMEs from Bucharest that offer various types of services to their customers. The results obtained are then correlated with the online and offline performance of the company.

Measuring the Impact of Social Network Density on Performance

2007 ◽  
Author(s):  
Tracey E. Rizzuto ◽  
John Paul Hatala ◽  
Kara R. Jeansonne
Keyword(s):  
Social Network ◽  
Network Density ◽  
The Impact

ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

2020 ◽  
pp. 113
Author(s):  
V. Kovpak ◽  
N. Trotsenko
Keyword(s):  
Social Network ◽  
Professional Training ◽  
Educational Process ◽  
Communication Strategy ◽  
Student Centered ◽  
Teacher Student ◽  
The Social ◽  
National University ◽  
High Level ◽  
The Impact

<div><p><em>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</em></p></div><p><em>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).</em></p><p><strong><em>Key words:</em></strong><em> nativeness, native advertising, branded content, special project, communication strategy.</em></p>

An Iranian academic social network is coming (Preprint)

2019 ◽  
Author(s):  
Mohammad Dehghani ◽  
Akhondzadeh Shahin ◽  
Mesgarpour Bita ◽  
Ferdousi Reza
Keyword(s):  
Social Network ◽  
Developing Country ◽  
The People ◽  
Academic Social Network ◽  
The Impact

UNSTRUCTURED Iran has faced severe sanctions in recent years from some countries. Due to the dependence of the Iranian health industry on government payments, the health of the people in this country has suffered a lot. One of the solutions for Iran's sanctions to reduce the impact of sanctions on health is to rely on domestic researchers, but researchers in Iran are having problems. One way to reduce researchers' problems is to use the National Academic Social Network. This article describes the steps of setting up an academic social network in a developing country in four stages.

Best Practices for Modeling Egocentric Social Network Data and Health Outcomes

2021 ◽  
pp. 193758672110137
Author(s):  
Jacqueline M. Burgette ◽  
Jacquelin Rankine ◽  
Alison J. Culyba ◽  
Kar-Hai Chu ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Best Practices ◽  
Health Outcomes ◽  
Organizational Behavior ◽  
Network Data ◽  
Egocentric Networks ◽  
Covariate Selection ◽  
Social Network Modeling ◽  
Egocentric Network ◽  
The Impact

Objective/Aim: We describe best practices for modeling egocentric networks and health outcomes using a five-step guide. Background: Social network analysis (SNA) is common in social science fields and has more recently been used to study health-related topics including obesity, violence, substance use, health organizational behavior, and healthcare utilization. SNA, alone or in conjunction with spatial analysis, can be used to uniquely evaluate the impact of the physical or built environment on health. The environment can shape the presence, quality, and function of social relationships with spatial and network processes interacting to affect health outcomes. While there are some common measures frequently used in modeling the impact of social networks on health outcomes, there is no standard approach to social network modeling in health research, which impacts rigor and reproducibility. Methods: We provide an overview of social network concepts and terminology focused on egocentric network data. Egocentric, or personal networks, take the perspective of an individual who identifies their own connections (alters) and also the relationships between alters. Results: We describe best practices for modeling egocentric networks and health outcomes according to the following five-step guide: (1) model selection, (2) social network exposure variable and selection considerations, (3) covariate selection related to sociodemographic and health characteristics, (4) covariate selection related to social network characteristics, and (5) analytic considerations. We also present an example of SNA. Conclusions: SNA provides a powerful repertoire of techniques to examine how relationships impact attitudes, experiences, and behaviors—and subsequently health.

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