Team Climate Inventory with a Merged Organization

2002 ◽  
Vol 91 (2) ◽  
pp. 651-656
Author(s):  
Ingrid Dackert ◽  
Sten-Olof Brenner ◽  
Curt R. Johansson

The present study examines the team climate for innovation in work teams within a newly merged organization. Four teams working at a regional head office of a Social Insurance organization answered the Team Climate Inventory. The results were compared to those of a study by Agrell and Gustafson of more stable teams. The comparison showed that participative safety and support for innovation were rated lower and that vision was rated higher in the newly merged teams. The 38-item original inventory was used and based on the results, a 1999 proposed shortened version of 14 items by Kivimäki and Elovainio was compared with the original one. Analysis indicated that the short version can be a valid alternative to the original version but that further testing of the short version is needed.

Purpose: Team Climate is foreseen as a variable that enhances the organizations effectiveness, if the criterion has been satisfied under particular working conditions. It is said that team climate can be viewed under perceptions that are shared under a proximal working team. The study focuses on the conceptual framework of Team climate that enhances the organizations effectiveness what are the predictors to be thrown limelight to improve the same. Team climate and Leadership has been viewed as implicitly inter-related variables as a warm conducive work climate would lead to an effective leadership quality which also extensively affects the two prime attributes such as knowledge-sharing and innovative Work behavior of an employee. Design / Methodology/ Approach: The focus of this study is to assess the determinants of theTeam Climate on Work Teams. The data for the study was collected from the software developers from various IT organizations. The team climate inventory (TCI) used in the study also has to tested for its impact on the Work Teams. The sample data was obtained from five major IT organizations in Chennai and Bangalore region. Selected organizations mainly comprises of the Software Developer’s Team under the Self Managed Team base. The data used for the study is empirical though some of the base studies was found to contain information form appropriate sources. The basic tools used for analysing the data were IBM SPSS Statistics20 and multiple regressions were performed using AMOS Graphics for running the Structured Equation Modeling Technique (SEM). Scale development: The Team Climate Inventory(TCI) which uses the five point Agreement scale contains four dimensions namely Vision(12),Task Orientation(7), Support for Innovation (8) Participative Safety(7) which accounts to nearly 34 items. The scale was developed by Neil.R.Anderson and Michael A.West (1994). Findings and Implications: The research findings about the study done on the determinants of team climate shows that the factor loadings pertaining to the Confirmatory Factor Analysis (CFA) using AMOS Graphics (SEM) has been proved to be have a good impact and thereby it is to be implied that there prevails a conducive team climate in the organization which serves as a limelight for a best level of Knowledge sharing behaviour and Innovative work behaviour among employees in the organization. Conclusion: Thus it has been found from the research findings and observations that a good Team climate among the work teams would enhance the Team Trust as observed from the meta analytical studies, that in turn would boost the Knowledge sharing and the Innovative Work Behaviour amongst Teams to a greater appreciable level.


Author(s):  
Neil R. Anderson ◽  
Michael A. West

2014 ◽  
Vol 9 (3) ◽  
pp. 40-54 ◽  
Author(s):  
Marie-Dominique Beaulieu ◽  
Nataliya Dragieva ◽  
Claudio Del Grande ◽  
Jeremy Dawson ◽  
Jeannie Haggerty ◽  
...  

2014 ◽  
Author(s):  
Mirko Antino ◽  
Francisco Gil Rodriguez ◽  
Margarita Martí Ripoll ◽  
Angel Barrasa ◽  
Stefano Borzillo

2011 ◽  
Vol 19 (4) ◽  
pp. 882-887 ◽  
Author(s):  
Juana Perpiñá-Galvañ ◽  
Miguel Richart-Martínez ◽  
Maria José Cabañero-Martínez ◽  
Inmaculada Martínez-Durá

The goal was to describe the content validity of a short version of the state subscale of Spielberger's "State-Trait Anxiety Inventory (STAI)", based on the original version adapted to Spanish, in Spanish patients receiving invasive mechanical ventilation (IMV). The sample consisted of 16 patients receiving IMV at the Alicante Hospital (Spain), who selected the items from the full Spanish version of the STAI-state that were most relevant to them. Items 1, 5, 9, 10, 12 and 20 from the original scale are the most relevant for the Spanish patients receiving IMV and 5 of these are included in the short version of the scale (83.3% agreement). The short scale has shown adequate content validity for Spanish patients receiving IMV.


2015 ◽  
Vol 117 (3) ◽  
pp. 763-780 ◽  
Author(s):  
Maria Cleliazurlo ◽  
Daniela Pes ◽  
Rosaria Romano

WITHDRAWAL NOTICE for Cleliazurlo, M., Pes, D., & Romano, R. (2015). Factor Structure and Psychometric Properties of the Index of Teaching Stress— Short Form (ITS—SF). Psychological Reports, 117(3), 763–780. DOI: 10.2466/ 08.PR0.117c24z5 The article has been withdrawn at the request of the author. The author contacted the journal to inform them that PARS, the rightsholder of the Index of Teaching Stress (“ITS”), expressed concern at the author’s unauthorized creation and publication of a short form version of the ITS. Although the author had received permission to validate an Italian version of ITS, the rights holder did not permit the development and publication of the resulting short form, and requested the article be withdrawn from access. If you have any questions about this, please contact SAGE. This study analyses factor structure and psychometric properties of the Italian short version of the Index of Teaching Stress–Short Form (ITS–SF). The original version of the ITS (90 items) was submitted to 567 teachers randomly drawn from a cross-section of school levels. Confirmatory factor analysis to check the factor structure was unsatisfactory, and Cronbach's α (.98) indicated a redundancy of items. Exploratory factor analysis was conducted for each section of the test and cross-loading items were eliminated. The resulting ITS–SF consists of 43 items, tapping eight meaningful and adequately reliable dimensions substantially corresponding to all dimensions measured by the original version of the ITS. The Italian short version of the Index of Teaching Stress constitutes a reliable measure of teacher stress in educative interactions.


2021 ◽  
Vol 7 (1) ◽  
pp. 68-86
Author(s):  
A. O. Shapovalova ◽  
◽  
Yu. B. Ivanov ◽  
V. F. Tyschenko ◽  
V. V. Karpova ◽  
...  

The global economy has rebounded from the lows of 2020, but its recovery will depend on innovations. Therefore, it is important to identify the most effective tax support instruments for the innovation activities of small and medium-sized enterprises (SMEs) that are used in the framework of anti-crisis economic policies in the OECD countries. It is suggested that tax incentives are the most effective tax instrument of all; the effectiveness of the profit tax benefit depends on the SME’s profitability; as to the social insurance and pension contribution, there is an allowable minimum of the rate, determined by the level of wages, that will stimulate innovation. To assess the effectiveness of tax support tools, the study used the methods of linear multivariate regression and simulation in Simulink. The source of information for regression analysis was the data published by the World Bank and the Organization for Economic Cooperation and Development (OECD). It was concluded that the most effective measures of tax support are tax incentives, as well as deferred payment of social insurance and pension contributions. The 10% profit tax was shown to be optimal to stimulate innovation provided the company keeps the saved profit for development. For innovative SMEs, the minimum allowable contribution rate for social insurance and pension provision, which stimulates their innovative activities, is 12%. The results of modeling confirmed that the proposed threshold indicators for supporting SMEs’ innovation activity can be an effective tool for overcoming the consequences of the global crisis caused by the COVID-19 pandemic.


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