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Introduction

Although technological innovations in business have been of concern to researchers for many years, the advent of Artificial Intelligence (AI) has marked a definite turning point.
The main objectives are the following:

• To analyse the evolution of the role of the entrepreneur in an environment influenced by artificial intelligence (AI).
• To investigate how AI can improve or personalise the process of integration and socialisation of new professionals.
• To understand the extent to which AI can truly understand and replicate the nuances present in a company made up of individuals, and to identify its limitations.
• Explore how managers can leverage AI tools to assess performance and empower their employees.
• Explore how AI can be integrated with other existing or emerging business technologies, such as text, voice and video, to deliver greater value to customers.
• Investigate how AI could negatively affect the value creation and competitive advantage of sales organisations, through violation of customer data privacy expectations, introduction of bias or infringement of accepted ethical practices.

A special issue focusing on artificial intelligence and business can be an invaluable platform for sharing knowledge, fostering research, and promoting informed dialogue on the increasingly important role of artificial intelligence in business.

This special issue based on artificial intelligence and the enterprise can provide several significant contributions such as giving us a comprehensive and up-to-date overview of research in the field of artificial intelligence applied to the enterprise, identifying emerging trends, challenges, and opportunities. In addition, it can present detailed case studies and practical examples of how companies are using artificial intelligence in various sectors and functional areas, highlighting both successes and challenges encountered in implementation. It would be interesting to explore new and promising applications of artificial intelligence in business, from process automation to personalisation of products and services, and improved strategic decision making. It would also be very interesting to address the ethical, social and legal implications of the growing adoption of artificial intelligence in business, including issues related to data privacy, algorithmic bias and the impact on employment and society at large.

The rapid advancement of artificial intelligence in areas such as natural language processing, computer vision and machine learning has led to the increasing adoption of these technologies in businesses of all sizes and sectors.

Leading companies such as Amazon, Google and Facebook have invested heavily in artificial intelligence and have demonstrated the significant impact these technologies can have in areas such as supply chain optimisation, personalisation of the customer experience and strategic decision making.
 

List of topic areas

• New and creative implementations of generative Artificial Intelligence, driven by advanced large language models (GPT and others), as well as other innovative methodologies.
• Use of Artificial Intelligence to optimise customer relationship management (CRM), ranging from customer attraction and development to customer retention. 
• Artificial Intelligence applications to automate processes within the company. 
• Integration of Artificial Intelligence in marketing communication and advertising strategies, including segmentation, personalisation, and performance evaluation for optimisation purposes. 
• Development of tools to understand consumer and customer behaviour relevant to modern businesses, especially about customer experience. 
• Deployment of explainable and accountable Artificial Intelligence (XAI) methods and applications.
• Conducting field experiments and business case studies assessing the impact and effectiveness of Artificial Intelligence on various aspects of business, finance, and economies. 
• Conducting research using combined qualitative and quantitative method approaches. 
• Examining the value of the customer lifecycle through data analysis, customer journey assessment and touchpoint mapping. 
• Applying innovative approaches to the collection, processing, and analysis of unstructured data such as text, images, video and audio. 
• Use of machine learning and Artificial Intelligence techniques for content creation, search engine marketing strategies, web analytics, financial services, and human resources, as well as to support business applications related to emerging technologies such as service bots and the metaverse.

 

Guest Editors

Carmen Zarco Fernández,
Universidad de Granada, Spain,
[email protected] 

David Camacho,
Universidad Politécnica de Madrid, Spain,
[email protected]  

Angel Panizo LLedot,
Universidad Politécnica de Madrid, Spain,
[email protected]  

Ana Suárez Vázquez,
Universidad de Oviedo, Spain,
[email protected]  
 

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available by clicking the button below.

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Author guidelines must be strictly followed.

Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”. 

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
 

Key Deadlines

Opening date for manuscripts submissions: 1 October 2024
Closing date for manuscripts submission: 30 June 2025
Email for submission queries: [email protected]