Artificial Intelligence in Business: State of the Art and Future Research Agenda

Artificial Intelligence in Business: State of the Art and Future Research Agenda

Introduction:
Artificial intelligence (AI) has become an integral part of the business landscape, with its capabilities revolutionizing various industries. AI systems possess natural language processing, knowledge representation, automated reasoning, and machine learning capabilities, enabling them to communicate, store information, answer questions, draw conclusions, and adapt to new circumstances. The worldwide spending on cognitive and AI systems has been steadily increasing, reaching $24.0 billion in 2018. To encourage further advancements in AI research for business applications, it is essential for practitioners and researchers to have a comprehensive understanding of the progress made in different domains and disciplinary fields.

Business Analytics Maturity:
In recent years, companies have focused on improving their data science skills and business analytics maturity. According to Gartner, business analytics maturity can be measured in four stages, from a descriptive use of information to a diagnostic analysis stage that involves understanding the root causes of specific outcomes. This shift towards data-driven decision-making has allowed businesses to leverage the expanding availability of consumer information and data from IoT devices. As a result, organizations have been able to enhance their understanding of customer behavior, optimize operations, and drive innovation.

Application of Artificial Neural Networks:
A review conducted by Tkáč and Verner in 2016 explored two decades of research on the application of artificial neural networks in business. The study found that the majority of examined articles discussed expert systems with practical applications. However, as AI technology continues to evolve, businesses are exploring new possibilities and expanding the scope of AI applications in various domains. The multidisciplinary nature of AI research necessitates collaboration across different fields, including marketing, tourism, management, sociology, and psychology.

Motivation and AI Applications:
Motivation plays a crucial role in creativity, productivity, and happiness. It is the driving force behind action, enabling individuals to create change, feel involved and significant, and make a positive impact on the world. However, demotivation can hinder progress and prevent individuals from fully committing to their goals. Understanding the various factors that contribute to demotivation can help individuals regain their motivation and achieve their objectives.

1. Fear as a Demotivating Factor:
   Fear is a common demotivating factor that can hinder progress and prevent individuals from moving forward. When fear is significant enough, it can override excitement and prevent individuals from pursuing desirable and safe opportunities. To regain motivation, it is essential to confront and name the fears that are holding you back. By understanding the underlying reasons for your fear, you can develop strategies to address them effectively. Research, gap analysis, and risk management can help alleviate fear and pave the way for renewed motivation.

2. Setting the Wrong Goals:
   Setting goals based solely on external expectations or societal norms can lead to demotivation. The conflict between one's Essential Self and Social Self can create a misalignment that hinders progress. The Essential Self represents spontaneity, creativity, and playfulness, while the Social Self adheres to societal rules and norms. To regain motivation, it is crucial to review your goals and ensure they align with your Essential Self's desires. Tuning into your body's signals, such as tightness or constriction, can provide valuable insights into whether your goals are toxic or aligned with your true desires.

3. Values Conflict and Autonomy:
   Conflicting values can create a sense of demotivation, as individuals feel pulled in different directions. It is essential to unpack these values conflicts and mediate between different parts of oneself. By identifying what you truly want, you can evaluate different strategies and find new approaches to achieve your goals. Additionally, autonomy plays a significant role in motivation, particularly in creative work. Having the freedom to make decisions about what, when, how, and with whom to work can ignite and sustain motivation, creativity, and productivity. Evaluating the level of autonomy you have in relation to your goals is crucial to maintaining motivation.

Conclusion:
In conclusion, artificial intelligence has made significant strides in the business world, with its applications transforming various industries. Understanding the state of the art in AI research and its implications for different business domains is essential for further advancements. Additionally, addressing demotivation and regaining motivation is vital for personal and professional success. By confronting fears, setting aligned goals, resolving values conflicts, embracing autonomy, and creating clear project plans, individuals can overcome demotivation and achieve their objectives. As AI continues to evolve, leveraging its capabilities alongside a motivated workforce can drive innovation and success in the business landscape.