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.

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 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 Evaluation and decision making in social media marketing

2017 ◽  
Vol 55 (1) ◽  
pp. 15-31 ◽  
Author(s):  
Brendan James Keegan ◽  
Jennifer Rowley
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Planning Process ◽  
Evaluation Framework ◽  
Social Media Marketing ◽  
Management Decision ◽  
Exploratory Research ◽  
Report Generation ◽  
Content Type ◽  
Wide Range

Purpose As organisations are increasing their investment in social media marketing (SMM), evaluation of such techniques is becoming increasingly important. The purpose of this paper is to contribute to knowledge regarding SMM strategy by developing a stage model of SMM evaluation and uncovering the challenges in this process. Design/methodology/approach Interviews were conducted with 18 key informants working for specialist SMM agencies. Such informants are a particularly rich source, since they manage social media campaigns for a wide range of clients. An exploratory research was conducted and thematic analysis surfaced the key components of the SMM evaluation process and associated challenges. Findings The SMM evaluation framework is developed. This framework has the following six stages: setting evaluation objectives, identifying key performance indicators (KPIs), identifying metrics, data collection and analysis, report generation and management decision making. Challenges associated with each stage of the framework are identified, and discussed with a view to better understanding decision making associated with social media strategies. Two key challenges are the agency-client relationship and the available social analytics tools. Originality/value Despite an increasing body of research on social media objectives, KPIs and metrics, no previous study has explored how these components are embedded in a marketing campaign planning process. The paper also offers insights in the factors that make SMM evaluation complex and challenging. Recommendations for further research and practice are offered.

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 Application of Artificial Intelligence in the Establishment of an Association Model between Metabolic Syndrome, TCM Constitution, and the Guidance of Medicated Diet Care

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Pei- Li Chien ◽  
Chi-Feng Liu ◽  
Hui-Ting Huang ◽  
Hei-Jen Jou ◽  
Shih-Ming Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Metabolic Syndrome ◽  
Laboratory Data ◽  
Risk Indicators ◽  
Syndrome Differentiation ◽  
Health Examination ◽  
Exploratory Research ◽  
Association Model ◽  
The Future ◽  
Northern Taiwan

Background. This study conducted exploratory research using artificial intelligence methods. The main purpose of this study is to establish an association model between metabolic syndrome and the TCM (traditional Chinese medicine) constitution using the characteristics of individual physical examination data and to provide guidance for medicated diet care. Methods. Basic demographic and laboratory data were collected from a regional hospital health examination database in northern Taiwan, and artificial intelligence algorithms, such as logistic regression, Bayesian network, and decision tree, were used to analyze and construct the association model between metabolic syndrome and the TCM constitution. Findings. It was found that the phlegm-dampness constitution (90.6%) accounts for the majority of TCM constitution classifications with a high risk of metabolic syndrome, and high cholesterol, blood glucose, and waist circumference were statistically significantly correlated with the phlegm-dampness constitution. This study also found that the age of patients with metabolic syndrome has been advanced, and shift work is one of the risk indicators. Therefore, based on the association model between metabolic syndrome and TCM constitution, in the future, metabolic syndrome can be predicted through the syndrome differentiation of the TCM constitution, and relevant medicated diet care schemes can be recommended for improvement. Conclusion. In order to increase the public’s knowledge and methods for mitigating metabolic syndrome, in the future, nursing staff can provide nonprescription medicated diet-related nursing guidance information via the prediction and assessment of the TCM constitution.

scholarly journals Social media analytics for end-users' expectation management in information systems development projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Snehasish Banerjee ◽  
Jyoti Prakash Singh ◽  
Yogesh K. Dwivedi ◽  
Nripendra P. Rana
Keyword(s):  
Social Media ◽  
Information Systems ◽  
Language Processing ◽  
Empirical Work ◽  
End Users ◽  
Social Media Analytics ◽  
Development Projects ◽  
Exploratory Research ◽  
Content Type ◽  
Expectation Management

PurposeThis study, an exploratory research, aims to investigate social media users' expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets.Design/methodology/approachTweets related to the following four forthcoming IS products were retrieved from 1st January 2020 to 30th September 2020: (1) Apple iPhone 12 (6,125 tweets), (2) Apple Watch 6 (553 tweets), (3) Samsung Galaxy Z Flip 2 (923 tweets) and (4) Samsung Galaxy Watch Active 3 (207 tweets). These 7,808 tweets were analysed using a combination of the Natural Language Processing Toolkit (NLTK) and sentiment analysis (SentiWordNet).FindingsThe online community was quite vocal about topics such as design, camera and hardware specifications. For all the forthcoming gadgets, the proportion of positive tweets exceeded that of negative tweets. The most prevalent sentiment expressed in Apple-related tweets was neutral, but in Samsung-related tweets was positive. Additionally, it was found that the proportion of tweets echoing negative sentiment was lower for Apple compared with Samsung.Originality/valueThis paper is the earliest empirical work to examine the degree to which social media chatter can be used by project managers for IS development projects, specifically for the purpose of end-users' expectation management.

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.

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