cmr.berkeley.edu


Tags Whois Backlink & Rankings Speed Safety Headers Similar Sites Keywords H Tags
Tags Whois Rank Speed Safety Headers Similar Sites Keywords H Tags

cmr.berkeley.edu Website Info

cmr.berkeley.edu (The Center for Responsible Business (CRB) at UC Berkeley promotes sustainable and responsible business practices through research, educational programs, and collaboration with businesses to drive positive social and environmental impact.) It's hosted by University of California. DNS looks Active and website looks Accessable. According to Google, website speed score is 88/100 and AVERAGE. Website looks safe for children. We detected the website language as en.
cmr.berkeley.edu


cmr.berkeley.edu Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Accessable Url:
https://cmr.berkeley.edu
Title:
Center for Responsible Business at UC Berkeley | CMR Berkeley
Description:
Explore the Center for Responsible Business at UC Berkeley, dedicated to advancing sustainable business practices and responsible leadership through research, education, and community engagement.
External Links:
22
Internal Links:
89
Mobile Friendly?:
✓ Yes
Canonical URL:
[Not Set]
Language:
en
XML Sitemap:
✗ No
robots.txt:
✗ No
Favicon:
✓ Yes

cmr.berkeley.edu Domain & Whois Details

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Server Software:
ASP.NET
Server Type:
Microsoft-IIS/10.0
Hosting Provider:
University of California



cmr.berkeley.edu Website Speed (Desktop)

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Overall Category:
AVERAGE
The human readable speed "category"
Speed Index:
88
Speed Index shows how quickly the contents of a page are visibly populated. [Learn more about the Speed Index metric].
Cumulative Layout Shift (CLS):
0.01 (FAST)
The Cumulative Layout Shift (CLS) metric measures how much unexpected layout shifts affect the user experience on a page. These layout shifts occur when content moves around without prior user input. CLS
Time to First Byte (TTFB):
1.021 s (AVERAGE)
TTFB (time to first byte) is the number of milliseconds it takes for a client’s browser to receive the first byte of the response from the web server. Usually, TTFB can be improved with faster hosting and server optimizations. TTFB
First Input Delay (FID):
4 ms (FAST)
First Input Delay (FID) measures the time from when the user interacts with your site for the first time (click a link, tap on a button, etc.) to the time when the browser is able to respond to that interaction. Google recommends keeping FID below 100ms for a good user experience. FID
First Contentful Paint (FCP):
1.881 s (AVERAGE)
FCP (First Contentful Paint) measures the time from a user’s navigation to when the browser renders the first bit of content from the DOM. In other words, FCP marks the time at which the first text or image is painted for the user. According to PageSpeed Insights, FCP should occur in under 2 seconds. FCP
Interaction to Next Paint (INP):
36 ms (FAST)
Interaction to Next Paint (INP) is a web performance metric that measures user interface responsiveness – how quickly a website responds to user interactions like clicks or key presses. Specifically, it measures how much time elapses between a user interaction like a click or key press and the next time the user sees a visual update on the page. INP
Largest Contentful Paint (LCP):
2.999 s (AVERAGE)
Largest Contentful Paint (LCP) is a metric that measures when the largest content in the viewport is rendered. It is used to measure how long it takes for the main content of your webpage to appear on the screen. Everything below 2.5s is considered good LCP time by PageSpeed Insights. LCP
Total Size:
4874 KB
Total Size. Large network payloads cost users real money and are highly correlated with long load times.
Server Response Time:
526 ms
Initial server response time. Keep the server response time for the main document short because all other requests depend on it. [Learn more about the Time to First Byte metric](https://developer.chrome.com/docs/lighthouse/performance/time-to-first-byte/).
Final Url:
https://cmr.berkeley.edu/
Canonicalized and final URL for the document, after following page redirects (if any).
Last Date Checked:
5/31/2023 1:06:30 PM
The last time we checked this website.
Site Speed Check(Full)

cmr.berkeley.edu HTML Resources

Type
Request Count
Size
Total
46
4,874 KB
Image
23
4,338 KB
Third-party
16
296 KB
Script
9
225 KB
Font
7
169 KB
Document
1
79 KB
Stylesheet
4
60 KB
Other
2
1 KB
Media
0
0 KB

cmr.berkeley.edu Website Safety

Refresh
Last Check Date:
3/1/2023 9:36:36 PM
Fortiguard:
Education
Mcafee Category:
Education/Reference
OpenDNS:
Educational Institutions
Cloudflare DNS:
OK
MyWot Child Safety:
81

cmr.berkeley.edu HTTP Headers

Refresh
Accept-Ranges :
bytes
Content-Length :
80687
Content-Type :
text/html
Date :
Sat, 13 May 2023 04:37:13 GMT
ETag :
"05155492182d91:0"
Last-Modified :
Tue, 09 May 2023 02:52:26 GMT
Server :
Microsoft-IIS/10.0
X-Powered-By :
ASP.NET


cmr.berkeley.edu W3C HTML Validation Check Now

Last Check Date:
5/27/2023 12:00:00 AM
Errors:
64
Warnings:
0
Info:
15
Check Live:
Check cmr.berkeley.edu HTML Errors

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cmr.berkeley.edu Site H Tags

Check Now
h1
California Management Review
h1
Winter 2023
h1
Creating and Capturing Value from Open Innovation: Humans, Firms, Platforms, and Ecosystems
h1
Commercialization Strategies of Large-Scale and Distributed Open Innovation: The Case of Open-Source
h1
Extending Open Innovation: Orchestrating Knowledge Flows from Corporate Venture Capital Investments
h1
Architectural Generativity: Leveraging Complementor Contributions to the Platform Architecture
h1
Distributed Governance of a Complex Ecosystem: How R&D Consortia Orchestrate the Alzheimer’s Knowled
h1
The Digital Workplace: Navigating in a Jungle of Paradoxical Tensions
h1
Strategically Managing the Business Model Portfolio Trajectory
h1
Extending Open Innovation: Tobias Gutmann, Christopher Chochoiek, and Henry Chesbrough
h1
Architectural Generativity: Coen van der Geest and Joey van Angeren
h2
Special Section on Open Innovation
h2
PRESS
h2
How to Adapt to AI in Strategic Management
h2
America’s Broken Recycling System
h2
Is it Time to Consider a National Recycling Standard?
h2
Synergistic Frontiers: Human Expertise and AI-Driven Language Models in Management
h2
The B20 Integrity and Compliance Recommendations: An International Framework for Action
h2
Leveraging Digital Twins to Attain a Competitive Edge
h2
VIDEOS
h3
Berkeley Haas Case Series
h3
California Management Review
h3
Artificial Intelligence
h3
Top-Performing Articles
h3
2021 Impact Factor
h3
11.68
h3
12.20
h3
CMR INSIGHTS
h4
Current Issue
h4
Leveraging the power of digital twins for business innovation and public policy insights.
h4
The core recommendations offer a strong focus on ESG initiatives.
h4
The collaborative synergy between human expertise and AI-Driven Language Models for boundary-pushing
h4
We believe that a solution to a broken recycling industry in the U.S. is standardizing data collecti
h4
Our survey of nine major cities shows inconsistent recycling practices lead to high disposal errors.
h4
Developing an effective AI-powered implementation strategy despite cultural and structural barriers.
h5
Follow Us
h5
About
h5
Resources
h5
Browse

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