學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Worxogo: Nudging for High Employee Performance
內容大綱
Based on their extensive consulting and advisory experience in large-scale consulting transformations for various large enterprises, Ramesh Srinivas and his colleagues at Worxogo Solutions Pvt. Ltd. (Worxogo) in Bengaluru, India, had launched an artificial intelligence (AI)-based nudge platform called Nudge Coach in 2017 to change employees' behaviour positively and voluntarily so as to bolster team performance. The platform's self-learning AI engine had been designed based on insights from behavioural sciences and popular motivation theories. It featured deep-learning algorithms that understood individual motivations and provided personalized coaching tips, appropriate challenges, and rewards. The platform was presented as a coach that could help employees manage their performance. By 2023, Worxogo had garnered numerous clients and accolades for its platform's novelty and efficacy in improving employee performance and organizational outcomes. However, Worxogo had implemented its platform predominantly for a limited set of functions, such as sales and data-centre operations, characterized by well-defined lead and lag performance metrics. Clients, buoyed by the platform's success, began encouraging the Worxogo team to extend the nudge-based performance-improvement system to other functions and domains. Thus, Srinivas, Worxogo's chief executive officer, faced a dilemma in August 2023of whether to continue to focus on Nudge Coach's limited existing functions or to explore appropriate nudge-based outcomes for tasks without clear lead and lag performance indicators. His other challenge was to determine how organizations and individuals could measure the effectiveness of nudges in improving performance without clear short-term outcomes. Which approach would Srinivas take to respond to these challenges?