東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Performance optimization --- design ...

Jones, Mark R.

FindBook

Google Book

Amazon

博客來

Performance optimization --- design for success through leadership and informatics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Performance optimization --- design for success through leadership and informatics./
作者:	Jones, Mark R.
面頁冊數:	283 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.
Contained By:	Dissertation Abstracts International76-11A(E).
標題:	Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3711260
ISBN:	9781321873887

Performance optimization --- design for success through leadership and informatics.
Jones, Mark R.

Performance optimization --- design for success through leadership and informatics. - 283 p.

Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.

Thesis (Ph.D.)--Saybrook University, 2015.

Prior research involving the Malcolm Baldrige National Quality Award (MBNQA) system has established an empirical link between the coupling of specific informatics factors and leadership competency factors to achievement of successful performance optimization readiness and outcomes (Jones, 2014). This study uses a 3-phase adaptive design approach based on a "dropping the losers" (inferior treatment groups) model that employs a mixed methods design to (1) generate a superset model of emotional-social-cultural-cognitive-organizational competencies called "ESCCO"; (2) identify specific leadership competency candidates; and (3) develop a testable detailed leadership competencies training model that can be used for leadership and organizational development education and training interventions that are targeted at improving performance optimization readiness and success, and develop a proposal summary for follow-up (post-dissertation) research to empirically test the training model and use of ESCCO as a proxy for the MBNQA "Leadership" subset model.

ISBN: 9781321873887Subjects--Topical Terms:

516664
Management.

Performance optimization --- design for success through leadership and informatics.
LDR:05119nmm a2200337 4500 001 2070410
005 20160606115813.5
008 170521s2015 eng d
020 $a 9781321873887
035 $a (MiAaPQ)AAI3711260
035 $a AAI3711260
040 $a MiAaPQ $c MiAaPQ
100 1 $a Jones, Mark R. $3 3185461
245 1 0 $a Performance optimization --- design for success through leadership and informatics.
300 $a 283 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.
500 $a Advisers: Doug Walton; Howard Barkan.
502 $a Thesis (Ph.D.)--Saybrook University, 2015.
520 $a Prior research involving the Malcolm Baldrige National Quality Award (MBNQA) system has established an empirical link between the coupling of specific informatics factors and leadership competency factors to achievement of successful performance optimization readiness and outcomes (Jones, 2014). This study uses a 3-phase adaptive design approach based on a "dropping the losers" (inferior treatment groups) model that employs a mixed methods design to (1) generate a superset model of emotional-social-cultural-cognitive-organizational competencies called "ESCCO"; (2) identify specific leadership competency candidates; and (3) develop a testable detailed leadership competencies training model that can be used for leadership and organizational development education and training interventions that are targeted at improving performance optimization readiness and success, and develop a proposal summary for follow-up (post-dissertation) research to empirically test the training model and use of ESCCO as a proxy for the MBNQA "Leadership" subset model.
520 $a The data for the qualitative analyses (context and content analysis techniques) are concepts drawn from existing leadership competency models, and are used to generate a superset model (ESCCO) of observable, measurable, and teachable leadership competencies. The data for the quantitative analysis (clustering and classification analysis techniques) are the scoring data for 158 individual cases from two identical repeated measures dissertation pilot studies of two start-up organizations from 2012 to 2014. The identity-blinded scoring data are drawn from ESCCO-LWI assessment dataset archives that were generated as part of those pilot studies.
520 $a This study proposes but does not empirically validate the use of ESSCO as a proxy candidate for the MBNQA "Leadership" subset model. Equivalency testing (statistical significance evaluation) for comparing the ESCCO and MBNQA models cannot be performed because the models are not structurally related and there is no overlap in sample populations --- the MBNQA data are based on responses from MBNQA organizational applicants (1990-2006), and the ESSCO data are based on responses from graduate student participants in a leadership and organization development program (2012-2013). Follow-up research is recommended to empirically validate the use of ESSCO as a proxy for the MBNQA "Leadership" subset model. The follow-up research will compare the equivalency of the ESSCO and MBNQA indices by evaluating their predictive strength using the same sample population for both assessment processes.
520 $a The results of this study suggest that the ESCCO Category-3 Personal Mastery Imaginative Construing (PMIC) category is the most predictive of success (competency demonstrated) of the ten category-level competencies analyzed. The results also suggest that the MBNQA model has the highest dependency on the personal mastery skills within the ESCCO PMIC category. The results further suggest that the ESCCO Category-2 Personal Mastery Relational Attunement (PMRA) Item-3 is the most predictive of success (competency demonstrated) of the sixty item-level competencies analyzed. Ultimately, four training modules comprised of twenty-three training skills were developed and mapped to ESCCO to identify which specific training skills could be used to develop each specific ESCCO competency.
520 $a The practical implications and value of this study are that it bridges the research and practice cultures of leadership and organization development where ESCCO competencies are developed, and performance optimization (quality and process improvement) where ESCCO competencies are targeted and hopefully improved. This study increases the body of knowledge in both domains. The research limitation of this study is that no empirical trials have been conducted to measure if increases in ESCCO assessment scores are associated with increases in positive MBNQA assessment process results as measured by MBNQA assessment criteria. Accordingly, this study does not directly evaluate the effectiveness of ESCCO as a performance optimization intervention strategy.
590 $a School code: 0795.
650 4 $a Management. $3 516664
650 4 $a Organizational behavior. $3 516683
650 4 $a Quantitative psychology. $3 2144748
690 $a 0454
690 $a 0703
690 $a 0632
710 2 0 $a Saybrook University. $b Organizational Systems. $3 3176322
773 0 $t Dissertation Abstracts International $g 76-11A(E).
790 $a 0795
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3711260