Transformation of Marketing With Technology

Author(s):  
Fatih Pinarbasi ◽  
Habib Mehmet Akpınar

Marketing lives as a living organism with its competitive environment and several internal conditions. Marketing functions should adapt to the world they are bound to and develop their activities by taking into account the changes and developments in micro and macro factors. With the increase in technology and the spread of social media, transformation in marketing has become inevitable. Advances in business applications have better results about understanding customer and markets. As previous studies examine artificial intelligence concept with different contexts, there is lack of integrated study which examine marketing and artificial intelligence together. This study proposes three-steps plan for implementing AI with marketing while it includes nine scenarios from different marketing goals. Study also has suggestions for implementing AI methodologies into business processes.

2020 ◽  
Vol 4 (2) ◽  
pp. 56-74
Author(s):  
Nadia Delanoy ◽  
arina Kasztelnik

This paper summarizes how social media and other technologies continue to proliferate; the shifting economic landscape will precipitate more adaptive approaches for managers attempting to understand the multi-dimensional virtual aspects of communication with the artificial intelligence aspect. Also, we discover the different existing support of big data analytics to make a rational business decision. The methodology is the systematization literature sources within this context and approaches for the underlining approach to open big data analytics and support innovative leadership decisions in Canada. The paper is carried out in the following logical sequence to gain an understanding of how customer relations managers could utilize social media within a data analytics frame from scholar and practitioner perspectives. This literature research review original paper outlines the main themes including the role of social media, the experiences of using data analytics for customer relations management, and the notion that customer-centric technologies could change the dynamic of understanding customer intentions, leadership decisions and introduce the innovative management with using the big data analytics in place. The results of the critical thinking with analysis both authors can be useful for any business around the World that would like to start using Artificial Intelligence to support innovative management decisions. The emergent themes that were highlighted based on the realities of customer relations management may be significant to how the integration of social media feedback resulting from crowdsourcing in addition to existing data analytics could better position organizations in this evolving world. The implications of linking innovative management processes such as demographic analysis, platform understanding, and communication methods together are crucial for any public business with a global impact. Finally, the understanding of innovation management in a social media era and understanding how customers utilized open big data analytics sources could help leadership practices across industries around the World. Keywords: Big Data Analytics, Innovative Leadership, Management of Social Media, Open Sources.


Author(s):  
Miss. Riddhi Mandal

Modernization is the key feature for the development of Society. With the timespan people are making growth with trends in technology. Around the decades, there were many technologies which have been stepped up over the industry and made the transformation in the society and have made tremendous development throughout the world. Similarly, In the 21st decades Social media (like Facebook, Twitter, what’s app, Instagram & many more) have become one of the emphasized network mediums. Millions of people are using social media to get in touch with people staying far away from them. There are millions of data over it which is non-hierarchical and need to store and use it for feedback and other usage. Not only in Social Media, in the business & marketing sector too, customer feedback plays a crucial role. For maintaining and segregating data in a systematic way, sentiment analysis is being used which makes the task easier and helps to understand the data in a better way. In this paper, we are presenting a sentiment analysis approach using Swarm Intelligence, which could be more beneficial in such tasks to solve the complex problem. The concept is correlated with technology Artificial Intelligence.


Author(s):  
Juan Guillermo Estay Sepúlveda ◽  
Mario Lagomarsino Montoya ◽  
Juan Mansilla Sepúlveda ◽  
Rosalba Mancina-Chávez ◽  
Alex Véliz Burgos ◽  
...  

Democracy is a chimera for many who feel that she will never knock on her doors. But that democracy is already part of a past when it comes to seeing science move forward and the world begins a gap between those who have and those who do not have in every sense of thinking and acting of the human. In these new times of social media-fed cyber millennialism on the one hand and laboratories on the other hand, the new war for those who master thought will be fought at the bit level and Artificial Intelligence. This is where neurocracy begins its journey as -perhaps- the new way of living and living together. The objective of this essay is to make known how this new way of thinking, feeling, and acting of human coexistence is entering into our daily work. The results obtained when thinking about the work, is of having shown that the middle maas and AI have arrived to stay in an increasingly dystopian planetary scenario.


AI & Society ◽  
2021 ◽  
Author(s):  
Yishu Mao ◽  
Kristin Shi-Kupfer

AbstractThe societal and ethical implications of artificial intelligence (AI) have sparked discussions among academics, policymakers and the public around the world. What has gone unnoticed so far are the likewise vibrant discussions in China. We analyzed a large sample of discussions about AI ethics on two Chinese social media platforms. Findings suggest that participants were diverse, and included scholars, IT industry actors, journalists, and members of the general public. They addressed a broad range of concerns associated with the application of AI in various fields. Some even gave recommendations on how to tackle these issues. We argue that these discussions are a valuable source for understanding the future trajectory of AI development in China as well as implications for global dialogue on AI governance.


Author(s):  
Kijpokin Kasemsap

This chapter provides an overview of the challenges and benefits of social media across various industries. The use of social media has created the highly effective communication platforms where any user, virtually anywhere in the world, can freely create the content and disseminate this information in real time to a global audience. The chapter argues that professional and business applications of social media platforms can enhance business performance toward reaching strategic goals in the digital age. What are keeping various industries awake these days? Why are social media applications important to various industries? How do social media platforms apply for professional and business perspectives across various industries?


2019 ◽  
pp. 824-847 ◽  
Author(s):  
Kijpokin Kasemsap

This chapter provides an overview of the challenges and benefits of social media across various industries. The use of social media has created the highly effective communication platforms where any user, virtually anywhere in the world, can freely create the content and disseminate this information in real time to a global audience. The chapter argues that professional and business applications of social media platforms can enhance business performance toward reaching strategic goals in the digital age. What are keeping various industries awake these days? Why are social media applications important to various industries? How do social media platforms apply for professional and business perspectives across various industries?


Author(s):  
Mujahid Tabassum ◽  
Sundresan Perumal ◽  
Saju Mohanan ◽  
P. Suresh ◽  
Sunitha Cheriyan ◽  
...  

The world is struggling and dealing with a new pandemic named Coronavirus. Technologies such as the internet of things, IR4.0, artificial intelligence, and social media applications are becoming crucial tools during these tumultuous times to aid humanity in different perspectives. Many industries and people around the world are utilizing these applications to perform daily life operations. Therefore, technological innovations are continuously improving in every sector. For instance, in many hospitals, COVID-19 patients are monitored using the IoT-based networks on a regular basis with the ability to make decisions with the aid of the artificial intelligence. Industrial Revolution 4.0 is another technology that is helping business in current pandemic situation. In current pandemic, internet and 4G networks are playing important roles. These networks demand heavy bandwidth and show new future industries trends. In this chapter, the authors have discussed IoT, IR 4.0, AI, and social media applications' roles and impact on society, usability, and future trend demands.


Author(s):  
Alexander Timinsky ◽  
Oleksandr Voitenko ◽  
Isus Raichuk

The paper considers and analyzes works on automation and digitalization of business processes in various fields of application. The relevance of the research topic is substantiated, in particular, taking into account the conditions of the pandemic. Automation is defined as a prerequisite for digitalization. Possible positive and negative aspects of digitalization are considered. The analysis of models and methods of digitalization, presented in the works, which describe the state and prospects of digitalization in Ukraine and the world in general. Foreign practices of digitalization implementation of business processes are analyzed. In order to determine approaches to building models and methods of digitalization in agriculture, the development of digitalization and digitalization of business processes in various sectors of the economy, such as banking, tourism and services, marketing and others. Based on the analysis, the studied models and methods are expertly evaluated on five parameters - applicability to agriculture, application of artificial intelligence, coverage of business processes, completeness and detail, application of a value approach. The models most suitable for implementation at agricultural enterprises are highlighted. It is concluded that for use in this area, the relevant models and methods must be adapted to the specifics of the industry. The need to develop new models and methods for business process digitalization projects for agricultural enterprises is emphasized. Areas of further research in the chosen direction are formulated: application of models and methods of digitalization of business processes of object-oriented organizations in the field of agriculture; value optimization of business processes based on artificial intelligence; digitalization of business processes of interaction of project stakeholders based on a value approach.


Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).


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