Management: Feasibility

by | Jan 30, 2025 | Management

 

Write a 650 word response to the following:

Potential topic: AI Technology: The use of Ai technology at the workplace to create successful relationships between management and employees.
Is your potential research study or dissertation topic/idea feasible? Does your topic fall into one of the areas of being too broad, too narrow, or too recent? If so, present some ideas on what you might consider to achieve a feasible research study.

Sample solution

Dante Alighieri played a critical role in the literature world through his poem Divine Comedy that was written in the 14th century. The poem contains Inferno, Purgatorio, and Paradiso. The Inferno is a description of the nine circles of torment that are found on the earth. It depicts the realms of the people that have gone against the spiritual values and who, instead, have chosen bestial appetite, violence, or fraud and malice. The nine circles of hell are limbo, lust, gluttony, greed and wrath. Others are heresy, violence, fraud, and treachery. The purpose of this paper is to examine the Dante’s Inferno in the perspective of its portrayal of God’s image and the justification of hell. 

In this epic poem, God is portrayed as a super being guilty of multiple weaknesses including being egotistic, unjust, and hypocritical. Dante, in this poem, depicts God as being more human than divine by challenging God’s omnipotence. Additionally, the manner in which Dante describes Hell is in full contradiction to the morals of God as written in the Bible. When god arranges Hell to flatter Himself, He commits egotism, a sin that is common among human beings (Cheney, 2016). The weakness is depicted in Limbo and on the Gate of Hell where, for instance, God sends those who do not worship Him to Hell. This implies that failure to worship Him is a sin.


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God is also depicted as lacking justice in His actions thus removing the godly image. The injustice is portrayed by the manner in which the sodomites and opportunists are treated. The opportunists are subjected to banner chasing in their lives after death followed by being stung by insects and maggots. They are known to having done neither good nor bad during their lifetimes and, therefore, justice could have demanded that they be granted a neutral punishment having lived a neutral life. The sodomites are also punished unfairly by God when Brunetto Lattini is condemned to hell despite being a good leader (Babor, T. F., McGovern, T., & Robaina, K. (2017). While he commited sodomy, God chooses to ignore all the other good deeds that Brunetto did.

Finally, God is also portrayed as being hypocritical in His actions, a sin that further diminishes His godliness and makes Him more human. A case in point is when God condemns the sin of egotism and goes ahead to commit it repeatedly. Proverbs 29:23 states that “arrogance will bring your downfall, but if you are humble, you will be respected.” When Slattery condemns Dante’s human state as being weak, doubtful, and limited, he is proving God’s hypocrisy because He is also human (Verdicchio, 2015). The actions of God in Hell as portrayed by Dante are inconsistent with the Biblical literature. Both Dante and God are prone to making mistakes, something common among human beings thus making God more human.

To wrap it up, Dante portrays God is more human since He commits the same sins that humans commit: egotism, hypocrisy, and injustice. Hell is justified as being a destination for victims of the mistakes committed by God. The Hell is presented as being a totally different place as compared to what is written about it in the Bible. As a result, reading through the text gives an image of God who is prone to the very mistakes common to humans thus ripping Him off His lofty status of divine and, instead, making Him a mere human. Whether or not Dante did it intentionally is subject to debate but one thing is clear in the poem: the misconstrued notion of God is revealed to future generations.

 

References

Babor, T. F., McGovern, T., & Robaina, K. (2017). Dante’s inferno: Seven deadly sins in scientific publishing and how to avoid them. Addiction Science: A Guide for the Perplexed, 267.

Cheney, L. D. G. (2016). Illustrations for Dante’s Inferno: A Comparative Study of Sandro Botticelli, Giovanni Stradano, and Federico Zuccaro. Cultural and Religious Studies, 4(8), 487.

Verdicchio, M. (2015). Irony and Desire in Dante’s” Inferno” 27. Italica, 285-297.

AI Technology: Fostering Successful Management-Employee Relationships

The increasing prevalence of Artificial Intelligence (AI) in the workplace presents both opportunities and challenges for organizations. While much attention is given to AI’s impact on automation and productivity, its potential to transform management-employee relationships remains largely unexplored. This research idea proposes to investigate how AI technology can be strategically implemented to foster more successful and productive relationships between management and employees.

AI Technology: Fostering Successful Management-Employee Relationships

The increasing prevalence of Artificial Intelligence (AI) in the workplace presents both opportunities and challenges for organizations. While much attention is given to AI’s impact on automation and productivity, its potential to transform management-employee relationships remains largely unexplored. This research idea proposes to investigate how AI technology can be strategically implemented to foster more successful and productive relationships between management and employees.

Feasibility and Scope:

The proposed research topic, “AI Technology: The use of AI technology at the workplace to create successful relationships between management and employees,” while intriguing, requires careful consideration of its feasibility and scope. As it stands, the topic is somewhat broad. “Successful relationships” is a complex and multifaceted concept, and the influence of AI on such relationships can manifest in various ways. Furthermore, the “workplace” itself encompasses diverse industries and organizational structures, each with unique dynamics.

To achieve a feasible research study, the topic needs to be narrowed and more precisely defined. Several approaches can be considered:

1. Focus on a Specific Aspect of the Relationship:

Instead of examining the entirety of the management-employee relationship, the research could focus on a specific aspect, such as:

  • AI and Communication: Investigating how AI-powered communication tools (e.g., sentiment analysis of employee feedback, AI-driven chatbots for internal communication) can improve transparency, understanding, and responsiveness between management and employees.
  • AI and Performance Management: Exploring how AI can facilitate more objective and personalized performance evaluations, provide data-driven feedback, and identify areas for employee development, thereby strengthening the manager’s role as a coach and mentor.
  • AI and Employee Well-being: Analyzing how AI can be used to identify and address employee stress, burnout, or other well-being concerns, contributing to a more supportive and empathetic work environment.
  • AI and Conflict Resolution: Examining the potential of AI in mediating workplace conflicts, identifying patterns of disagreement, and suggesting solutions, thus promoting a more harmonious work environment.

2. Define the “Workplace” More Precisely:

Limiting the scope of the research to a specific industry or type of organization can enhance feasibility. For example, the research could focus on:

  • The impact of AI on management-employee relationships in the tech industry, where AI adoption is often more advanced.
  • The role of AI in fostering relationships in remote or hybrid work environments, where communication and collaboration can be more challenging.
  • The use of AI in small and medium-sized enterprises (SMEs) to improve management practices and employee engagement.

3. Adopt a Specific Research Methodology:

The research design also plays a crucial role in feasibility. Several approaches can be considered:

  • Case Study Approach: Conducting in-depth case studies of organizations that have implemented AI technologies to improve management-employee relationships. This allows for a rich understanding of the context and specific outcomes.
  • Survey Research: Administering surveys to employees and managers in organizations using AI tools to gather quantitative data on their perceptions of the impact on relationships.
  • Experimental Design: Conducting controlled experiments to assess the effects of specific AI interventions (e.g., AI-powered feedback tools) on aspects of the management-employee relationship.

4. Address the “Too Recent” Challenge:

While AI in HR is a rapidly evolving field, there is already sufficient implementation in organizations to warrant research. However, the long-term effects of AI on management-employee relationships may not yet be fully apparent. To address this, the research could:

  • Focus on the early stages of AI implementation and identify best practices for successful integration.
  • Conduct longitudinal studies to track the evolution of relationships over time.
  • Combine quantitative data with qualitative insights to understand the nuances of the human-AI interaction in the workplace.

Example of a Refined Research Question:

“How does the implementation of AI-powered performance management systems affect the quality of feedback and coaching interactions between managers and employees in the tech industry?”

This refined question is more focused, defines the workplace (tech industry), and specifies the aspect of the relationship being examined (feedback and coaching). It also allows for a more targeted research design and data collection.

By carefully considering these aspects of scope, methodology, and the evolving nature of AI in the workplace, a feasible and impactful research study can be designed to explore the complex and promising intersection of AI technology and management-employee relationships. The research has the potential to contribute valuable insights for organizations seeking to leverage AI to build stronger, more productive, and ultimately more human-centered workplaces.

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