Inicio  /  Information  /  Vol: 13 Par: 8 (2022)  /  Artículo
ARTÍCULO
TITULO

The Deinstitutionalization of Business Support Functions through Artificial Intelligence

Jan Christian Bauer and Michael Wolff    

Resumen

Technological advances in the field of artificial intelligence offer enormous potential for organizations. In recent years, organizations have leveraged this potential by establishing new business models or adjusting their primary activities. In the meantime, however, the potential for greater efficiency and effectiveness in support functions such as human resource management (HRM), supply chain management (SCM), or financial management (FM) through these technological advances is also increasingly being recognized. We synthesize the current state of research on AI regarding the potentials and diffusion within these support functions. Building upon this, we assess the deinstitutionalization power of AI for altering organizational processes within business support functions and derive implications to harness the full potential of AI across organizations.

 Artículos similares

       
 
Sunny Kumar Poguluri and Yoon Hyeok Bae    
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not underg... ver más

 
Rosana Farjaminejad, Samira Farjaminejad, Ludovica Nucci, Fabrizia d?Apuzzo, Vincenzo Grassia, Korosh Majidi and Abdolreza Jamilian    
The integration of 3D printing technology in maxillofacial surgery in Iran represents a significant advancement in medical practice, offering unprecedented precision and efficiency in surgical procedures. Employing the Non-Adoption, Abandonment, Scale-Up... ver más
Revista: Applied Sciences

 
Nader Vahdati, Aamna Alteneiji, Fook Fah Yap and Oleg Shiryayev    
Engine mounts serve three primary purposes: (1) to support the weight of the engine, (2) to lessen the transmitted engine disturbance forces to the vehicle structure/chassis or airplane fuselage, and (3) to limit the engine motion brought on by shock exc... ver más
Revista: Applied Sciences

 
Qingyong Zhang, Changhuan Song and Yiqing Yuan    
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn... ver más
Revista: Applied Sciences

 
Mariam Er-Rondi, Magali Troin, Sylvain Coly, Emmanuel Buisson, Laurent Serlet and Nourddine Azzaoui    
Agro-climatic indicators (AgcIs) provide a suitable tool to evaluate the implications of climate change on agriculture by simplifying plant?climate interactions. However, developing reliable AgcIs requires high-quality historical climate datasets. Conseq... ver más
Revista: Applied Sciences