Motivation Theory: Maslow's Hierarchy Of Needs

Motivation Theory Maslows Hierarchy Of Needshttpswwwyoutubecom

Motivation Theory - Maslow's Hierarchy of Needs Douglas McGregor's Theory X and Theory Y Theme 1: Management Why It Matters: Introduction to Management Management Planning, Organizing, Leading, and Controlling Types of Management and their Roles The Advantages of managing people well Putting it together Introduction to management Theme 2: Organization Theory Why It Matters: History of Management Scientific Management Bureaucratic Management Humanistic Management Current Developments in Management Practices Putting It Together: History of Management CPSC Spring 2022 Artificial Intelligence Randall Lee Narrow AI vs AGI Intelligence - the ability to acquire and apply knowledge and skills. Narrow AI (ANI) – also referred to as Weak AI, goal-oriented AI which is designed to perform singular tasks (eg facial recognition, speech recognition, voice assistants, driving a car, or searching the internet); very intelligent at completing the specific task it is programmed to do.

Virtual assistants such as Siri by Apple, Alexa by Amazon, Cortana by Microsoft are examples. Artificial General Intelligence (AGI) - also known as strong or deep AI, a machine with general intelligence that mimics human intelligence & behaviors, learns, and applies its intelligence to solve any problem; can think, understand, and act in any situation that is indistinguishable from humans. AI Architecture Imagine the Main Program of a self-driving car. What would be some of the Controller Subprograms? What would be an App Subprogram within a given Controller?

Think about the major elements that enable a car to be driven. Machine Learning Supervised Learning – AI trains on data that has ideal input-output pairings; critiqued and rated by an instructor in order to learn and improve. Semi-supervised Learning - AI learns off of a smaller amount of labeled training data; combines supervised with unsupervised learning. Unsupervised Learning - AI uses machine learning algorithms to analyze and cluster unlabeled datasets; Neural networks, which simulate the neurons of the human brain, are often used in unsupervised learning. Reinforcement Learning - AI will constantly act and perceive, yet only occasionally receives feedback on its behavior.

4 Natural Language Processing & Emotional Analysis Natural Language Understanding - branch of natural language processing that focuses on the ability of an algorithm or process to parse spoken speech and construct a discernable model that facilitates comprehension. Emotional Analysis - considers the inflection of words, voice timbre and pitch, as well as cadence. All these additional data help to frame the context of the user as they are speaking. Search AI & Conversational AI Search AI - process of navigating from a starting state to a goal state by transitioning through intermediate states; AI may ask some questions to more fully understand the context of the question; AI reaches its goal state by determining the most relevant responses.

An informed search algorithm uses domain knowledge that AI has learned in some manner over time. Informed search, by the way, is also called Heuristic search. Conversational AI - an extension of Natural Language AI; as AI approaches the goal state of a given query, it will isolate the highest rated or most relevant responses based upon a user’s preferences, topic of discussion, derived meanings, and state of being. AID An Artificial Intelligence Spiritual, Philosophical, and Psychological Advisor References Escott, E (2017, Oct 24). What are the 3 Types of AI?

A Guide to Narrow, General, and Super Artificial Intelligence. Codebots. https:// codebots.com/artificial-intelligence/the-3-types-of-ai-is-the-third-even-possible Fulmer, R (2019, June). Artificial Intelligence and Counseling: Four Levels of Implementation. Theory & Psychology, pp 1-13. Artificial Intelligence (2018, July).

Stanford Encyclopedia of Philosophy. / Conversational AI (2020, August 31). IBM Cloud Education. https:// Lee, R, McNeley, R, Tran, B, & Green, T (2001). AID: An Artificial Intelligence Spiritual, Philosophical, and Psychological Advisor.

Paper For Above instruction

The provided material encompasses various management theories, motivation models, and advancements in artificial intelligence, offering rich insights into organizational effectiveness, employee motivation, and technological integration. This essay will focus on four specific issues faced by Smithfield's Custom Furniture, aligning suitable consultant theories to resolve each issue effectively, supported by academic principles and course materials.

Issue 1: Disorganized Furniture Manufacturing Functions

To address the disorganization in furniture manufacturing, particularly the inconsistent methods used by varnish and dye experts, Douglas McGregor’s Theory Y offers valuable guidance. Theory Y posits that employees are inherently motivated, seek responsibility, and can be self-directed if properly managed (McGregor, 1960). Applying this theory suggests that empowering employees with autonomy and encouraging collective problem-solving can standardize methods and improve cooperation among specialists. Therefore, McGregor’s human relations approach would foster a participative environment, allowing experts to share best practices and develop unified procedures, thereby reducing disorganization. His emphasis on trust, motivation, and participative management aligns well with fostering an innovative, collaborative manufacturing process.

Issue 2: Unclear Production Scheduling

Regarding the chaotic production schedule, Henri Fayol’s administrative principles, particularly the concepts of planning and coordination, are essential. Fayol (1916) emphasized that effective management involves planning activities ahead of time and ensuring proper coordination across departments. Applying Fayol’s principles enables the establishment of a formalized scheduling system—clear guidelines on project prioritization and sequencing, based on deadlines and resource availability. This systematic approach can streamline order processing, improve delivery times, and increase customer satisfaction. Fayol's management function of "planning" provides the framework for developing accurate schedules, while "coordination" ensures all departments align their efforts toward common goals, which is critical in a complex manufacturing environment like Smithfield’s.

Issue 3: Differing Methods Among Lumberjacks

The disagreements among lumberjacks about the best methods for cutting and shipping wood can be best addressed through the principles of Frederick Taylor’s Scientific Management. Taylor (1911) advocated for analyzing tasks scientifically to determine the most efficient way of performing each process. Applying this consultant’s approach involves conducting time-and-motion studies to identify optimal techniques for lumber extraction and transportation. By standardizing procedures and incentivizing workers to adopt best practices, efficiency and safety can be improved. Taylor's emphasis on scientific analysis aligns with resolving conflicts and establishing a uniform methodology, promoting consistency and productivity among the lumberjacks.

Issue 4: Employee Discontent and Overwork

The sense of overwork and decreasing job satisfaction among employees aligns with Abraham Maslow’s Hierarchy of Needs, particularly the fulfillment of safety and belongingness needs. Maslow (1943) argued that employees need to feel secure and connected within their work environment to be motivated. Addressing this involves creating a supportive, respectful atmosphere and ensuring fair workload distribution. Additionally, implementing participative management, based on McGregor’s Theory Y, can empower employees and foster a sense of belonging. Enhancing communication, recognizing employee efforts, and providing opportunities for growth can satisfy basic psychological needs, restore motivation, and increase job satisfaction, thereby reducing turnover and conflicts.

Conclusion

In conclusion, the selection of management theories as consultants can provide effective solutions to Smithfield’s challenges. McGregor’s Theory Y can streamline manufacturing operations through employee empowerment; Fayol’s management principles can bring structure to production scheduling; Taylor’s scientific management can standardize lumberjack methods; and Maslow's hierarchy addresses employee satisfaction concerns. These theories emphasize participative, systematic, and scientific approaches that foster organizational harmony, efficiency, and motivation, all crucial for Smithfield’s ongoing success.

References

• Fayol, H. (1916). General and Industrial Management. Translated by S. K. Taggart. (Original work published 1916)
• McGregor, D. (1960). The Human Side of Enterprise. McGraw-Hill.
• Maslow, A. H. (1943). A Theory of Human Motivation. Psychological Review, 50(4), 370–396.
• Taylor, F. W. (1911). The Principles of Scientific Management. Harper & Brothers.
• Escott, E. (2017, October 24). What are the 3 Types of AI? A Guide to Narrow, General, and Super AI. Codebots. https://codebots.com/artificial-intelligence/the-3-types-of-ai-is-the-third-even-possible
• Fulmer, R. (2019). Artificial Intelligence and Counseling: Four Levels of Implementation. Theory & Psychology.