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Management by Walking Around

"Management by Walking Around" (MBWA) is a management philosophy that was popularized by the co-founders of Hewlett-Packard (HP), Bill Hewlett and David Packard. It emphasizes the importance of direct interaction and communication between managers and their employees by physically walking around the workplace. The concept was introduced in the 1970s and is still relevant today as a management approach.

The key principles of Management by Walking Around include:

Visibility and Accessibility: Managers should be visible and approachable to employees. By being physically present in the work area, they can observe the operations, understand the work environment, and be more accessible to employees.

Employee Engagement: MBWA encourages managers to engage with employees, discuss their concerns, and gather feedback. By interacting directly with employees, managers can build relationships, boost morale, and create a positive work culture.

Real-Time Information: When managers walk around and engage with employees, they get real-time information about ongoing projects, challenges, and successes. This helps them stay informed and make more informed decisions.

Understanding the Ground Reality: MBWA enables managers to have a firsthand understanding of the organization's operations, challenges, and opportunities. It helps them gain insights that may not be apparent from formal reports or meetings.

Empowerment and Support: By being present and actively listening to employees, managers can identify areas where employees might need support or resources. This promotes a sense of empowerment among the workforce.

Problem-Solving: MBWA enables managers to identify and address problems early on, preventing potential issues from escalating.

Recognition and Appreciation: Managers can use MBWA as an opportunity to recognize and appreciate employees for their efforts and achievements. This enhances motivation and job satisfaction.

It's important to note that MBWA is not about micromanaging or interfering with day-to-day operations but rather about fostering open communication and building trust between managers and employees. This approach can be especially valuable in large organizations or those with geographically dispersed teams.


AI Competition: ChatGPT-Gemini-Grok 3, GabAI - RF CafeThis content was generated by primarily the ChatGPT (OpenAI), and/or Gemini (Google), and/or Arya (GabAI), and/or Grok (x.AI), and/or DeepSeek artificial intelligence (AI) engine. Some review was performed to help detect and correct any inaccuracies; however, you are encouraged to verify the information yourself if it will be used for critical applications. In some cases, multiple solicitations to the AI engine(s) was(were) used to assimilate final content. Images and external hyperlinks have also been added occasionally. Courts have ruled that AI-generated content is not subject to copyright restrictions, but since I modify them, everything here is protected by RF Cafe copyright. Many of the images are likewise generated and modified. Your use of this data implies an agreement to hold totally harmless Kirt Blattenberger, RF Cafe, and any and all of its assigns. Thank you. Here are the major categories.

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AI Technical Trustability Update

AI Technical Trustability Update - RF CafeWhile working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.

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