መጽሐፍ የተመሠረተ ፈተና «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
ስፖንሰር አድራጊዎች

Feathered Correlations: Color Predicting Culture in Diverse Flocks After Disaster

There were once colorful flocks of birds that lived together in a big forest. These flocks of birds had different ratios of beige birds, purple birds, red birds, blue birds, orange birds, green birds, yellow birds, and turquoise birds. These different proportions of colors influenced each flock's values, culture, and atmosphere. Their leaders made decisions based on the most common bird colors.


One day, after a bad storm, the flock leaders made tough choices to help their birds survive.


In Swift's flock, purple and green birds predominated. True to their adventurous nature, Swift sent the purple and green birds to find new food sources (unpaid vacation). She asked the orange birds to scout for materials to rebuild damaged nests because they loved to compete.


Feather's flock mainly had blue, who valued stability, and orange birds, who loved competition. The no-nonsense orange birds got right to work on repairs (no reduced staff). And the peaceful blue birds kept singing to lift spirits, so Feather changed nothing about their routines (nothing changed).  


Hootie's flock had many sociable yellow birds who could always find a profitable solution for everyone and possessed a Win-Win-Win behavior. When the yellow birds' food storage was damaged, instead of reducing their rations (reduced salaries), Hootie asked the red birds to share the extra food they had gathered. So, yellow birds' food storage wasn't changed (no reduced salaries).


Over in Willa's flock, fun-loving turquoise birds were the majority. After the storm, Willa kept all her turquoise birds in their usual nests, singing songs since their cheerfulness helped the whole flock recover (nothing changed). But she had to ask the few red and orange birds to rebuild damaged nests belonging to elder beige birds temporarily.


Each diverse flock recovered based on its colorful culture and connections. But all birds worked cooperatively despite difficulties to continue thriving in the forest.


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "Actions of companies in relation to personnel in the last month (yes / no)" poll. It asks people about actions of companies in relation to personnel in the last month. 


Now imagine 1'000 people who took both tests. You could match up each person's SDTEST® colors with their answers about actions of companies in relation to personnel in the last month.


Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!


Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like what is the perception of the actions of companies in relation to personnel in the last month. Combined, they paint a richer picture of what motivates our thoughts and deeds.


Below you can read an abridged version of the results of our VUCA poll "Actions of companies in relation to personnel in the last month (yes / no)". The full results of the poll are available for free in the FAQ section after login or registration.


ባለፈው ወር ከሠራተኞች ጋር በተያያዘ የኩባንያዎች እርምጃዎች (አዎ / አይ)

አገር
ቋንቋ
-
Mail
እንደገና አስቤ
የ ትሰስር የጠቋሚ የሚተቹ ዋጋ
መደበኛ ስርጭት, ዊሊያምስ በዊሊያም ጎሳዎች (ተማሪ) r = 0.0541
መደበኛ ስርጭት, ዊሊያምስ በዊሊያም ጎሳዎች (ተማሪ) r = 0.0541
መደበኛ ያልሆነ ስርጭት, በፓርቲው r = 0.0022
ስርጭትመደበኛ
ያልሆነ
መደበኛመደበኛመደበኛመደበኛመደበኛመደበኛመደበኛ
ሁሉም ጥያቄዎች
ሁሉም ጥያቄዎች
ባለፈው ወር ውስጥ ከሠራተኞች ጋር በተያያዘ ምን እርምጃዎች ተወሰዱ
ባለፈው ወር ውስጥ ከሠራተኞች ጋር በተያያዘ ምን እርምጃዎች ተወሰዱ
Answer 1-
ደካማ አዎንታዊ
0.1262
ደካማ አዎንታዊ
0.0393
ደካማ አሉታዊ
-0.0430
ደካማ አሉታዊ
-0.1112
ደካማ አዎንታዊ
0.0566
ደካማ አዎንታዊ
0.0129
ደካማ አሉታዊ
-0.0370
Answer 2-
ደካማ አሉታዊ
-0.0164
ደካማ አሉታዊ
-0.0406
ደካማ አዎንታዊ
0.0046
ደካማ አሉታዊ
-0.0031
ደካማ አሉታዊ
-0.0244
ደካማ አዎንታዊ
0.0030
ደካማ አዎንታዊ
0.0619
Answer 3-
ደካማ አዎንታዊ
0.0365
ደካማ አሉታዊ
-0.0131
ደካማ አዎንታዊ
0.0168
ደካማ አሉታዊ
-0.0151
ደካማ አዎንታዊ
0.0354
ደካማ አሉታዊ
-0.0535
ደካማ አሉታዊ
-0.0049
Answer 4-
ደካማ አዎንታዊ
0.0389
ደካማ አዎንታዊ
0.0690
ደካማ አሉታዊ
-0.0044
ደካማ አሉታዊ
-0.0321
ደካማ አዎንታዊ
0.0225
ደካማ አሉታዊ
-0.0520
ደካማ አሉታዊ
-0.0187
Answer 5-
ደካማ አሉታዊ
-0.0074
ደካማ አዎንታዊ
0.0333
ደካማ አሉታዊ
-0.0475
ደካማ አዎንታዊ
0.0148
ደካማ አዎንታዊ
0.0367
ደካማ አሉታዊ
-0.0038
ደካማ አሉታዊ
-0.0222
Answer 6-
ደካማ አሉታዊ
-0.0111
ደካማ አዎንታዊ
0.0149
ደካማ አዎንታዊ
0.0431
ደካማ አሉታዊ
-0.0107
ደካማ አሉታዊ
-0.0075
ደካማ አሉታዊ
-0.0093
ደካማ አሉታዊ
-0.0124
Answer 7-
ደካማ አዎንታዊ
0.0379
ደካማ አዎንታዊ
0.0331
ደካማ አሉታዊ
-0.0179
ደካማ አሉታዊ
-0.0400
ደካማ አዎንታዊ
0.0075
ደካማ አሉታዊ
-0.0060
ደካማ አሉታዊ
-0.0008
Answer 8-
ደካማ አሉታዊ
-0.0168
ደካማ አዎንታዊ
0.0090
ደካማ አሉታዊ
-0.0003
ደካማ አሉታዊ
-0.0616
ደካማ አሉታዊ
-0.0313
ደካማ አዎንታዊ
0.0671
ደካማ አዎንታዊ
0.0342
Answer 9-
ደካማ አሉታዊ
-0.0539
ደካማ አዎንታዊ
0.0266
ደካማ አዎንታዊ
0.0323
ደካማ አዎንታዊ
0.0641
ደካማ አሉታዊ
-0.0473
ደካማ አሉታዊ
-0.0117
ደካማ አሉታዊ
-0.0181


MS Excel ላክ
ይህ ተግባር በራስዎ VUCA ምርጫዎች ውስጥ ይገኛል።
እሺ


2023.12.09
Valeri Kosenko
የምርት ባለቤት ሳባ ፔት ethret ፕሮጀክት SDTEST®

እ.ኤ.አ. በ 1993 ወደ ማህበራዊ ፔድጎግ-ሳይኮሎጂስት ብቁ ሆነች እናም በፕሮጀክት አስተዳደር ውስጥ እውቀቱን ተግባራዊ አደረጉ.
እ.ኤ.አ. በ 2013 የፕሮጀክት ዲግሪ እና የፕሮጀክቱ ሥራ አስኪያጅ በመሆን የፕሮጀክት ሥራን አግኝቷል.
Valerii የተለያዩ የችሎታ ተለዋዋጭ ምርመራዎችን ወስዶ የአሁኑን የ SDTEST ስሪቱን ለማስተካከል እውቀቱን እና ልምዱን ተጠቅሟል.
Valerii የ v.u.a.a ን እርግጠኛ አለመሆኑን የማሰስ ደራሲ ነው. ከ 20 ቱ ዓለም አቀፍ ምርጫዎች, በስነ-ልቦና የተሞላ ተለዋዋጭ ተለዋዋጭ እና የሂሳብ ስታቲስቲክስን በመጠቀም ፅንሰ-ሀሳብ.
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