Marketing 4.0

2017 ◽  
pp. 94-117 ◽  
Author(s):  
Ana Isabel Jiménez-Zarco ◽  
Asher Rospigliosi ◽  
María Pilar Martínez-Ruiz ◽  
Alicia Izquierdo-Yusta
Keyword(s):  
Social Media ◽  
Big Data ◽  
Marketing Strategies ◽  
The Internet ◽  
Academic Journals ◽  
Is Research ◽  
Brand Relationship ◽  
Marketing Approach ◽  
Internet And Social Media

Marketing evolves in parallel with technology. During the last five years, Marketing 3.0 has become the most innovative marketing approach, but of growing, is research focusing on Marketing 4.0: the marketing of big data. Much has been speculated, but academic journals have published little about Marketing 4.0. Maybe, because the total understanding of Marketing 4.0 requires: firstly, a depth knowledge about the evolution of marketing, especially about Marketing 3.0, and secondly, an analysis of how a range of technology –not only the Internet and social media- can be used to design marketing strategies that enhance the brand-consumer relationship. Taking into account how consumers' behavior has been changing since the beginning of this century, this chapter seeks to review Marketing 4.0 concepts, analyzing how big data can be used to enhance the consumer-brand relationship.

Marketing 4.0

Web Services ◽  
2019 ◽  
pp. 2172-2195 ◽  
Author(s):  
Ana Isabel Jiménez-Zarco ◽  
Asher Rospigliosi ◽  
María Pilar Martínez-Ruiz ◽  
Alicia Izquierdo-Yusta
Keyword(s):  
Social Media ◽  
Big Data ◽  
Marketing Strategies ◽  
The Internet ◽  
Academic Journals ◽  
Is Research ◽  
Brand Relationship ◽  
Marketing Approach ◽  
Internet And Social Media

Marketing evolves in parallel with technology. During the last five years, Marketing 3.0 has become the most innovative marketing approach, but of growing, is research focusing on Marketing 4.0: the marketing of big data. Much has been speculated, but academic journals have published little about Marketing 4.0. Maybe, because the total understanding of Marketing 4.0 requires: firstly, a depth knowledge about the evolution of marketing, especially about Marketing 3.0, and secondly, an analysis of how a range of technology –not only the Internet and social media- can be used to design marketing strategies that enhance the brand-consumer relationship. Taking into account how consumers' behavior has been changing since the beginning of this century, this chapter seeks to review Marketing 4.0 concepts, analyzing how big data can be used to enhance the consumer-brand relationship.

scholarly journals BIG DATA ANALYTICS: A PRIMER

2020 ◽  
Vol 5 (9) ◽  
pp. 44-49
Author(s):  
Matthew Sadiku ◽  
Justin Foreman ◽  
Sarhan Musa
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Smart Phones ◽  
The Internet ◽  
Paper Briefly ◽  
Digital Devices ◽  
Hidden Patterns ◽  
Internet And Social Media

The use of digital devices and systems such smart phones, computers, the Internet, and social media has resulted in a massive volume of data which is exponentially increasing daily. Such data is processed using multiple techniques, collectively known as big data analytics. Big data analytics is the process of examining large amounts of data (big data) to uncover hidden patterns, correlations, and other insights. Analyzing big data enables organizations and businesses to make better and faster decisions. This paper briefly presents the fundamental concepts of big data analytics and its tools.

scholarly journals Social Media Activities and Its Influence on Customer-Brand Relationship: An Empirical Study of Apparel Retailers’ Activity in India

2020 ◽  
Vol 16 (4) ◽  
pp. 602-617
Author(s):  
Sukanya Sharma ◽  
Saumya Singh ◽  
Fedric Kujur ◽  
Gairik Das
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Shopping Behavior ◽  
Social Media Marketing ◽  
The Internet ◽  
Digital Era ◽  
Brand Relationship ◽  
The Social ◽  
Marketing Activities ◽  
The Relationship

In this digital era, the internet, and Social Media (SM) has had a radical impact on the shopping behavior of “costumers” The SM provides a platform where “costumers” are exposed to the best product with the best price along with reviews and opinions about the merchandise. So, we can turn our heads and look at a brand in a way as if the brand is speaking to us. This study was an attempt to explore the Social Media Marketing Activities (SMMA) that are being used for the marketing of fashionable products like apparel and to what level the SMMA activities of brands truly strengthen the relationship with customers and motivate purchase intention. Moreover, SMMA has a robust application in developing a marketing strategy for business. It has become a significant tool that collaborates with businesses and people. It is concluded that the “costumer”-brand relationship does have a positive and statistically significant impact on consumers’ purchase intention through SM.

Internet Addiction Status and Related Factors among Medical Students: A Cross-Sectional Study in Western Iran

2021 ◽  
pp. 0272684X2110254
Author(s):  
Habibolah Khazaie ◽  
Javad Yoosefi Lebni ◽  
Jaffar Abbas ◽  
Behzad Mahaki ◽  
Fakhreddin Chaboksavar ◽  
...  
Keyword(s):  
Social Media ◽  
Standard Deviation ◽  
Medical Students ◽  
Internet Addiction ◽  
Technology Use ◽  
Standard Deviation Score ◽  
The Internet ◽  
Human Society ◽  
Cross Sectional ◽  
Internet And Social Media

Background In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments. Methods This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed questionnaires among the respondents’ three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017–2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 23 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA). Results The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84 ± 2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29 ± 0.73, 3.17 ± 0.92, and 3.57 ± 0.64 correspondingly. The survey results illustrated that medical students’ internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet ( p < .05). Conclusion The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students’ healthy behavior.

scholarly journals EXPRESS: “Get a £10 Free Bet Every Week!” – Gambling Advertising on Twitter: Volume, Content, Followers, Engagement and Regulatory Compliance

2021 ◽  
pp. 074391562199967
Author(s):  
Raffaello Rossi ◽  
Agnes Nairn ◽  
Josh Smith ◽  
Christopher Inskip
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Volume Content ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Regulatory Compliance ◽  
The Internet ◽  
Policy Recommendations ◽  
Policy Makers

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely hard to investigate using conventional techniques. In this paper the authors present three UK Twitter gambling advertising studies using both Big Data analytics and manual content analysis to explore the volume and content of gambling adverts, the age and engagement of followers, and compliance with UK advertising regulations. They analyse 890k organic adverts from 417 accounts along with data on 620k followers and 457k engagements (replies and retweets). They find that around 41,000 UK children follow Twitter gambling accounts, and that two-thirds of gambling advertising Tweets fail to fully comply with regulations. Adverts for eSports gambling are markedly different from those for traditional gambling (e.g. on soccer, casinos and lotteries) and appear to have strong appeal for children, with 28% of engagements with eSports gambling ads from under 16s. The authors make six policy recommendations: spotlight eSports gambling advertising; create new social-media-specific regulations; revise regulation on content appealing to children; use technology to block under-18s from seeing gambling ads; require ad-labelling of organic gambling Tweets; and deploy better enforcement.

The Use of the Internet and Social Media by Microenterprises in South Africa

2017 ◽  
Vol 52 (1-3) ◽  
pp. 58-65
Author(s):  
Obey Dzomonda ◽  
Olawale Fatoki ◽  
Olabanji Oni ◽  
Mgoako Prudence Bosch
Keyword(s):  
South Africa ◽  
Social Media ◽  
The Internet ◽  
Use Of The Internet ◽  
Internet And Social Media

scholarly journals Leveraging Social Media for Development in Organisations

2017 ◽  
Vol 13 (4) ◽  
pp. 201
Author(s):  
Ajith Sundaram
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Detailed Analysis ◽  
Computer Systems ◽  
Marketing Strategies ◽  
Online Marketing ◽  
Potential Customers ◽  
Marketing Approach

Marketers must never underestimate an online buyer. If they are assuming that mere marketing efforts from their side will influence a buyer, then they are being uncalculated and ignorant. Potential customers are not isolated people who are glued to their computer systems confused as to what product to buy. Instead they are tech-savvy, socially active, smart buyers who make a detailed analysis about the product they intend to buy online. Therefore, marketers need to re-design their online marketing strategies to suit to the needs of the buyer. The marketing approach should focus on social influence marketing as well.

scholarly journals Making Inferences Using Incidentally Collected Data

2016 ◽  
Author(s):  
Jonathan Mellon
Keyword(s):  
Social Media ◽  
Big Data ◽  
The Internet ◽  
User Interactions ◽  
Social Media Data ◽  
Broad Definition ◽  
User Data ◽  
The Cost ◽  
Media Data

This chapter discusses the use of large quantities of incidentallycollected data (ICD) to make inferences about politics. This type of datais sometimes referred to as “big data” but I avoid this term because of itsconflicting definitions (Monroe, 2012; Ward & Barker, 2013). ICD is datathat was created or collected primarily for a purpose other than analysis.Within this broad definition, this chapter focuses particularly on datagenerated through user interactions with websites. While ICD has beenaround for at least half a century, the Internet greatly expanded theavailability and reduced the cost of ICD. Examples of ICD include data onInternet searches, social media data, and user data from civic platforms.This chapter briefly explains some sources and uses of ICD and thendiscusses some of the potential issues of analysis and interpretation thatarise when using ICD, including the different approaches to inference thatresearchers can use.

The Impact of the Internet and Social Media on Caregiving

2015 ◽  
pp. 269-289 ◽  
Author(s):  
Katherina Nikzad-Terhune ◽  
Keith A. Anderson ◽  
Lori La Bey
Keyword(s):  
Social Media ◽  
The Internet ◽  
The Impact ◽  
Internet And Social Media
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