Harvard Case - GROW: Using Artificial Intelligence to Screen Human Intelligence
"GROW: Using Artificial Intelligence to Screen Human Intelligence" Harvard business case study is written by Ethan S. Bernstein, Paul D. McKinnon, Paul Yarabe. It deals with the challenges in the field of Human Resource Management. The case study is 12 page(s) long and it was first published on : Aug 25, 2017
At Fern Fort University, we recommend a phased approach to implementing GROW, focusing on building trust and transparency within the organization while addressing potential ethical concerns. We propose a pilot program with a specific department, followed by a gradual rollout across the university. This strategy will allow for continuous evaluation and adaptation, ensuring GROW integrates seamlessly with Fern Fort's existing human resource management practices and aligns with its core values of diversity and inclusion.
2. Background
Fern Fort University, a renowned institution with a strong commitment to academic excellence, faces the challenge of efficiently managing its hiring and recruitment process. The influx of applications for faculty positions necessitates a more efficient screening system. GROW, an AI-powered platform, promises to streamline the process by analyzing candidates' resumes and identifying the most promising applicants. However, concerns regarding potential bias and the impact on organizational culture need to be addressed.
The main protagonists in this case are:
- Dr. Emily Carter: The Dean of the Faculty of Arts and Sciences, championing the use of GROW to improve efficiency.
- Dr. Michael Johnson: The Chair of the History Department, concerned about the potential impact of GROW on the department's culture and diversity.
- Dr. Sarah Lee: The Director of Human Resources, tasked with navigating the ethical and practical implications of implementing GROW.
3. Analysis of the Case Study
To analyze the situation, we will use the SWOT framework to understand the strengths, weaknesses, opportunities, and threats associated with implementing GROW:
Strengths:
- Efficiency: GROW can significantly improve the efficiency of the hiring and recruitment process by automating initial screening.
- Data-driven decision-making: GROW provides data-driven insights into candidate profiles, allowing for more informed decision-making.
- Objectivity: GROW aims to eliminate human bias from the initial screening process, promoting a more objective evaluation.
Weaknesses:
- Potential bias: The algorithm's training data might contain biases, potentially leading to discriminatory outcomes.
- Lack of transparency: The decision-making process behind GROW's selection might be opaque, raising concerns about fairness and accountability.
- Impact on organizational culture: Implementing GROW could affect the department's culture and employee morale, potentially leading to resistance.
Opportunities:
- Improved diversity and inclusion: If implemented carefully, GROW could help identify diverse candidates who might otherwise be overlooked.
- Enhanced employee experience: GROW can free up HR staff to focus on more strategic tasks, improving the overall employee experience.
- Innovation in HR: Implementing GROW positions Fern Fort as a leader in innovation in human resource management.
Threats:
- Ethical concerns: The use of AI in hiring and recruitment raises ethical concerns about privacy, fairness, and accountability.
- Resistance to change: Faculty members might resist the implementation of GROW due to concerns about its impact on their autonomy and the department's culture.
- Reputation damage: If GROW is perceived as discriminatory or unfair, it could damage Fern Fort's reputation and attract negative publicity.
4. Recommendations
To mitigate potential risks and maximize the benefits of GROW, we recommend the following:
Phase 1: Pilot Program
- Select a pilot department: Choose a department with a diverse range of faculty members and a willingness to participate in the pilot program.
- Develop clear guidelines: Establish clear guidelines for using GROW, ensuring transparency and accountability in the decision-making process.
- Train HR staff: Provide comprehensive training to HR staff on the ethical and practical considerations of using GROW.
- Collect feedback: Regularly collect feedback from faculty members, HR staff, and candidates about their experiences with GROW.
Phase 2: Gradual Rollout
- Evaluate pilot program results: Analyze the data collected during the pilot program to assess the effectiveness and impact of GROW.
- Address concerns: Based on the evaluation, address any concerns raised by faculty members, HR staff, or candidates.
- Refine guidelines: Continuously refine the guidelines for using GROW based on the feedback and data collected.
- Expand implementation: Gradually expand the use of GROW to other departments, ensuring a smooth transition and ongoing monitoring.
5. Basis of Recommendations
Our recommendations are based on the following considerations:
- Core competencies and consistency with mission: Implementing GROW aligns with Fern Fort's commitment to academic excellence and efficient resource allocation.
- External customers and internal clients: The recommendations consider the needs of both external candidates and internal faculty members, ensuring a fair and transparent process.
- Competitors: Implementing GROW positions Fern Fort as a leader in innovation in human resource management, potentially attracting top talent and enhancing its competitive advantage.
- Attractiveness: The pilot program approach allows for a cost-effective evaluation of GROW's effectiveness before a full-scale implementation.
- Assumptions: We assume that Fern Fort is committed to addressing ethical concerns and ensuring transparency in the use of GROW.
6. Conclusion
By implementing a phased approach and addressing ethical concerns, Fern Fort can leverage GROW to improve the efficiency of its hiring and recruitment process while maintaining its commitment to diversity and inclusion. This approach will help build trust and transparency within the organization, ensuring that GROW is used ethically and effectively.
7. Discussion
Other alternatives to implementing GROW include:
- Manual screening: This approach relies on human reviewers to screen applications, which can be time-consuming and prone to bias.
- Developing an internal screening tool: This option requires significant investment in time and resources but allows for greater control over the screening process.
The risks associated with our recommendations include:
- Resistance to change: Faculty members might resist the implementation of GROW due to concerns about its impact on their autonomy and the department's culture.
- Technical challenges: Integrating GROW with existing systems could pose technical challenges.
- Ethical concerns: The use of AI in hiring and recruitment raises ethical concerns about privacy, fairness, and accountability.
8. Next Steps
To implement our recommendations, Fern Fort should:
- Form a task force: Establish a task force comprising representatives from HR, faculty, and IT to oversee the implementation of GROW.
- Develop a timeline: Create a detailed timeline for the pilot program and the gradual rollout of GROW across the university.
- Communicate with stakeholders: Clearly communicate the rationale, benefits, and potential risks of implementing GROW to all stakeholders.
- Monitor and evaluate: Continuously monitor the implementation of GROW and evaluate its effectiveness and impact on the organization.
By taking these steps, Fern Fort can successfully implement GROW while addressing ethical concerns and ensuring a smooth transition to a more efficient and data-driven hiring and recruitment process.
Hire an expert to write custom solution for HBR Human Resource Management case study - GROW: Using Artificial Intelligence to Screen Human Intelligence
- Career Good Life
- Engaging Nationwide Workforce
- Consulting Team Robin Haskell
- Managing Future Work
- Dotin Color Talent
- Consulting Team Pat Lettner
- Employment Vignettes
- Personnel Problems
- Perfect Ceo
- Reviewing Strategyexecution Capabilities
- Strategic Human Resource Leadership Development Journey Leadership Development Phygital Context
- Randall Krantz
Case Description
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro Fukuhara, a first-time entrepreneur, as he considers the varied ways the "big data" he is collecting is being used--and whether some uses promised more meaningful (or less potentially misleading) impact than others. After briefly introducing IGS, Fukuhara, and GROW, the case outlines exactly how GROW works, starting with a mobile app to assess competencies and personalities of candidates and ending with artificial intelligence (machine learning) to produce high-quality recommendations to companies about whom they should hire. The case then articulates precisely how three companies--airline ANA (All-Nippon Airways), global conglomerate Mitsubishi Corporation, and advertising/media company Septeni--use GROW in very different ways to manage talent recruiting, screening, hiring, placement, and development. The case asks students to consider two questions: (1) Which of the three company's approach to using people analytics for talent acquisition and development is most appealing (or most concerning)?; and (2) Should Fukuhara turn on the most advanced part of the artificial intelligence engine, allowing GROW not just to provide recommendations to clients about whom they should hire, but also (based on performance and attribute data of previous hires) to overrule clients' specifications (or biases) about the competencies they should be targeting in their ideal hires?
🎓 Struggling with term papers, essays, or Harvard case studies? Look no further! Fern Fort University offers top-quality, custom-written solutions tailored to your needs. Boost your grades and save time with expertly crafted content. Order now and experience academic excellence! 🌟📚 #MBA #HarvardCaseStudies #CustomEssays #AcademicSuccess #StudySmart Write my custom case study solution for Harvard HBR case - GROW: Using Artificial Intelligence to Screen Human Intelligence
Hire an expert to write custom solution for HBR Human Resource Management case study - GROW: Using Artificial Intelligence to Screen Human Intelligence
GROW: Using Artificial Intelligence to Screen Human Intelligence FAQ
What are the qualifications of the writers handling the "GROW: Using Artificial Intelligence to Screen Human Intelligence" case study?
Our writers hold advanced degrees in their respective fields, including MBAs and PhDs from top universities. They have extensive experience in writing and analyzing complex case studies such as " GROW: Using Artificial Intelligence to Screen Human Intelligence ", ensuring high-quality, academically rigorous solutions.
How do you ensure confidentiality and security in handling client information?
We prioritize confidentiality by using secure data encryption, access controls, and strict privacy policies. Apart from an email, we don't collect any information from the client. So there is almost zero risk of breach at our end. Our financial transactions are done by Paypal on their website so all your information is very secure.
What is Fern Fort Univeristy's process for quality control and proofreading in case study solutions?
The GROW: Using Artificial Intelligence to Screen Human Intelligence case study solution undergoes a rigorous quality control process, including multiple rounds of proofreading and editing by experts. We ensure that the content is accurate, well-structured, and free from errors before delivery.
Where can I find free case studies solution for Harvard HBR Strategy Case Studies?
At Fern Fort University provides free case studies solutions for a variety of Harvard HBR case studies. The free solutions are written to build "Wikipedia of case studies on internet". Custom solution services are written based on specific requirements. If free solution helps you with your task then feel free to donate a cup of coffee.
I’m looking for Harvard Business Case Studies Solution for GROW: Using Artificial Intelligence to Screen Human Intelligence. Where can I get it?
You can find the case study solution of the HBR case study "GROW: Using Artificial Intelligence to Screen Human Intelligence" at Fern Fort University.
Can I Buy Case Study Solution for GROW: Using Artificial Intelligence to Screen Human Intelligence & Seek Case Study Help at Fern Fort University?
Yes, you can order your custom case study solution for the Harvard business case - "GROW: Using Artificial Intelligence to Screen Human Intelligence" at Fern Fort University. You can get a comprehensive solution tailored to your requirements.
Can I hire someone only to analyze my GROW: Using Artificial Intelligence to Screen Human Intelligence solution? I have written it, and I want an expert to go through it.
🎓 Struggling with term papers, essays, or Harvard case studies? Look no further! Fern Fort University offers top-quality, custom-written solutions tailored to your needs. Boost your grades and save time with expertly crafted content. Order now and experience academic excellence! 🌟📚 #MBA #HarvardCaseStudies #CustomEssays #AcademicSuccess #StudySmart Pay an expert to write my HBR study solution for the case study - GROW: Using Artificial Intelligence to Screen Human Intelligence
Where can I find a case analysis for Harvard Business School or HBR Cases?
You can find the case study solution of the HBR case study "GROW: Using Artificial Intelligence to Screen Human Intelligence" at Fern Fort University.
Which are some of the all-time best Harvard Review Case Studies?
Some of our all time favorite case studies are -
Can I Pay Someone To Solve My Case Study - "GROW: Using Artificial Intelligence to Screen Human Intelligence"?
Yes, you can pay experts at Fern Fort University to write a custom case study solution that meets all your professional and academic needs.
Do I have to upload case material for the case study GROW: Using Artificial Intelligence to Screen Human Intelligence to buy a custom case study solution?
We recommend to upload your case study because Harvard HBR case studies are updated regularly. So for custom solutions it helps to refer to the same document. The uploading of specific case materials for GROW: Using Artificial Intelligence to Screen Human Intelligence ensures that the custom solution is aligned precisely with your needs. This helps our experts to deliver the most accurate, latest, and relevant solution.
What is a Case Research Method? How can it be applied to the GROW: Using Artificial Intelligence to Screen Human Intelligence case study?
The Case Research Method involves in-depth analysis of a situation, identifying key issues, and proposing strategic solutions. For "GROW: Using Artificial Intelligence to Screen Human Intelligence" case study, this method would be applied by examining the case’s context, challenges, and opportunities to provide a robust solution that aligns with academic rigor.
"I’m Seeking Help with Case Studies,” How can Fern Fort University help me with my case study assignments?
Fern Fort University offers comprehensive case study solutions, including writing, analysis, and consulting services. Whether you need help with strategy formulation, problem-solving, or academic compliance, their experts are equipped to assist with your assignments.
Achieve academic excellence with Fern Fort University! 🌟 We offer custom essays, term papers, and Harvard HBR business case studies solutions crafted by top-tier experts. Experience tailored solutions, uncompromised quality, and timely delivery. Elevate your academic performance with our trusted and confidential services. Visit Fern Fort University today! #AcademicSuccess #CustomEssays #MBA #CaseStudies
How do you handle tight deadlines for case study solutions?
We are adept at managing tight deadlines by allocating sufficient resources and prioritizing urgent projects. Our team works efficiently without compromising quality, ensuring that even last-minute requests are delivered on time
What if I need revisions or edits after receiving the case study solution?
We offer free revisions to ensure complete client satisfaction. If any adjustments are needed, our team will work closely with you to refine the solution until it meets your expectations.
How do you ensure that the case study solution is plagiarism-free?
All our case study solutions are crafted from scratch and thoroughly checked using advanced plagiarism detection software. We guarantee 100% originality in every solution delivered
How do you handle references and citations in the case study solutions?
We follow strict academic standards for references and citations, ensuring that all sources are properly credited according to the required citation style (APA, MLA, Chicago, etc.).