Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations

2020 ◽  
Vol 151 ◽  
pp. 119794 ◽  
Author(s):  
Alexandru Capatina ◽  
Maher Kachour ◽  
Jessica Lichy ◽  
Adrian Micu ◽  
Angela-Eliza Micu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Social Media Marketing ◽  
The Future

scholarly journals Social Media Marketing Experts’ Perceptions Regarding the Capabilities of a Future Artificial Intelligence Software

2021 ◽  
Vol 11 (3) ◽  
pp. 230-235
Author(s):  
Adrian Micu ◽  
◽  
Alexandru Capatina ◽  
Angela-Eliza Micu ◽  
Marius Geru ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Social Media Marketing ◽  
Social Media Analytics ◽  
Exploratory Research ◽  
Innovative Technologies ◽  
The Future

The increasing interest in Artificial Intelligence’s impact on Social Media Marketing creates huge opportunities for software providers, whose innovative technologies would be broadly implemented by marketers. This article outlines the results of an exploratory research focused on 100 Social Media Marketing experts (digital agencies’ owners, marketers and freelancers) that assessed the forthcoming AI Media software capabilities, based on social media analytics, reflecting audience, image and sentiment analyses. The goal of this paper is to analyze the ranking of twelve capabilities proposed for the future AI Media software, as they were perceived by the respondents included into the research sample.

scholarly journals Role of Artificial Intelligence in Social Media Marketing

2019 ◽  
Vol 8 (4S3) ◽  
pp. 66-69
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Review Paper ◽  
Social Media Marketing ◽  
Business Organisation ◽  
The Social

This presented review paper encompasses all the ongoing trends of the Artificial Intelligence. This review evaluates the possibilities of Artificial Intelligence (AI) in social media marketing. This review paper aims to study the potential of AI in the social media marketing. This review paper fulfils the objectives of simulation of AI in the business organisations to enhance marketing which will in return increase sales. The paper aims examines the possibilities and strengths of AI. This review paper will explore the intervention of AI into marketing arena. The review flows from the general to specific. It evaluates the effect of AI on both the society as a whole and also specifically on the business organisation. It assesses the effect of AI on both the Social media and the business.

Marketing Analytics for Customer Engagement

2020 ◽  
Vol 11 (2) ◽  
pp. 41-55 ◽  
Author(s):  
Samala Nagaraj
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Present Article ◽  
Service Industries ◽  
Customer Engagement ◽  
Brand Communities ◽  
Marketing Analytics ◽  
The Future

Customer engagement is the buzz word in marketing discipline today. Engaging customers has never been as effective before the emergence of marketing analytics and its application. Marketing analytics coupled with social media and brand communities has given rise to improved innovative ways to engage customers across various service industries. The integration of marketing analytics with artificial intelligence (AI) has enhanced marketers understanding of customer engagement. The present article is a viewpoint on the various applications of marketing analytics for customer engagement. The present article focuses on the evolution of marketing analytics, its various models and application in various forms of customer engagement. The article highlights the future applications of analytics and concludes with the importance of marketing analytics for marketers in increasing customer engagement.

scholarly journals Marketing Strategy of Local Products through Social Media in Segara Jaya Village

2020 ◽  
Vol 4 (2) ◽  
pp. 161-170
Author(s):  
Andrian Haro ◽  
Agung A. W. S. Waspodo ◽  
Friska Aviyati Lestari ◽  
Cindy
Keyword(s):  
Social Media ◽  
Marketing Strategy ◽  
Positive Impact ◽  
Marketing Strategies ◽  
Social Media Marketing ◽  
Business Opportunities ◽  
The Future

To introduce local products made by the community, it is necessary to conduct training on effective and efficient strategies in marketing products through social media. The purpose of this training is to motivate and educate the community in managing their businesses by using social media marketing. This training uses demo and counseling method which is participated by 30 participants. Participants are given motivation and introduction to social media marketing (i.e. Facebook, Twitter, Instagram, and e-commerce like Shopee, Tokopedia, and Bukalapak) that could facilitate them in promoting their local products with several marketing strategies. The target of this training is the participants able to market and to sell their local products online with social media. Also, the existence of interactive social media training is expected that the community to create greater and more developed business opportunities toward their local products. These conditions will certainly have a positive impact on increasing their business revenues in the future.

scholarly journals How Will Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented?

2020 ◽  
Vol 4 (1) ◽  
pp. 31-46
Author(s):  
Mir Kasi ◽  
Rubina Shaheen
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Theoretical Perspective ◽  
Information Services ◽  
Web Based ◽  
The Future ◽  
Governmental Institutions ◽  
The One ◽  
Qualitative Methodologies ◽  
Unavoidable Patterns

Innovation is surpassing our desires. Different AI-based instruments are created and help advertisers focus on perfect clients via web-based media at the ideal time. Purpose: the purpose of the study is to link the Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented. Methodology: Surveys and qualitative methodologies were utilized to build up the theoretical perspective on A.I.'s effects on advancement across various foundations and social areas on the planet's economies. All the users of face book were population for the current study. Convenient sampling was the technique to access the sample. Focus groups and academic centres, and governmental institutions were likewise fused in acquiring valuable data on the effects of being knowledgeable about all the fields of advancement through A.I. innovations on social media. Findings: Most interviewees reacted emphatically about using technologically advanced tools and disseminating information in modern applications on social media. Advancement in A.I. innovations in the social media services expanded creation periods in the viral news than anticipated from a man if they needed to access vital information at every interval without an aspect of delay. Contribution: The future will be A.I. empowered and less miss-information. Tis paper do not generally know how soon or in what ways these dreams of the AI-empowered future will turn into a reality, yet even the most easygoing of eyewitnesses can see that these are unavoidable patterns. The one sure thing is that it is coming, and this paper now travelling toward that path.

scholarly journals Artificial Intelligence as Human Behavior Detection for Auto Personalization Function in Social Media Marketing

2021 ◽  
Vol 1 (1) ◽  
pp. 25-34
Author(s):  
R D Santy ◽  
M I Habibillah ◽  
Y R Dimyati ◽  
V S S Nofia ◽  
S Luckyardi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Human Behavior ◽  
Social Media Marketing ◽  
Comparable Data ◽  
Behavior Detection ◽  
Marketing Activities ◽  
Descriptive Method

This study aims to determine how artificial intelligence's role in increasing marketing activities' effectiveness in automatic personalization. Some of the factors that can influence humans using social media are what they like, where they comment, and their type in the search fields on their social media. The method used in this research is a comparative descriptive method, namely describing or explaining and validating a phenomenon under study, then comparing it with other social media that has a different system. Some of the variables or objects studied in this paper are the user's habits in using social media and the artificial intelligence found on several social media that reacts with their users' habits. This study shows how artificial intelligence can increase the effectiveness of marketing activities on social media and produce comparable data between artificial intelligence technologies found in several social media, which shows that artificial intelligence is proven to increase marketing activities' effectiveness. It is done on social media.

scholarly journals Setting the future of digital and social media marketing research: Perspectives and research propositions

2020 ◽  
pp. 102168 ◽  
Author(s):  
Yogesh K. Dwivedi ◽  
Elvira Ismagilova ◽  
D. Laurie Hughes ◽  
Jamie Carlson ◽  
Raffaele Filieri ◽  
...  
Keyword(s):  
Social Media ◽  
Marketing Research ◽  
Social Media Marketing ◽  
Research Perspectives ◽  
The Future ◽  
Research Propositions

Social Media, Crowdsourcing, and Marketing

2021 ◽  
pp. 64-73
Author(s):  
Shivani Inder
Keyword(s):  
Social Media ◽  
Organizational Learning ◽  
Digital Marketing ◽  
Social Media Marketing ◽  
Speed Of Light ◽  
The Future ◽  
And Performance ◽  
The Way

Social media has emerged as a new playing ground for digital marketing. Supporting the resource view of the organization, crowdsourcing is a strong platform for social media marketing. Crowdsourcing on social media for marketing is strengthening companies in terms of saving marketing expenditure; promoting at speed of light; and enhancing the organizational learning, collaboration, and performance. The chapter tries to focus on the relevance of social media, crowdsourcing, and marketing, which help the company to improve, innovate, and cultivate on the crowdsourced wisdom. The future of social media, crowdsourcing, and marketing depends on how companies change the way they perceive stakeholders, business, and processes.

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