The Impact of Automation on Work Group Autonomy and Task Specialization

1970 ◽  
Vol 23 (6) ◽  
pp. 567-577 ◽  
Author(s):  
Gerald I. Susman
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 152-152
Author(s):  
Ying-Ling Jao ◽  
Carissa Coleman ◽  
Kristine Williams ◽  
Diane Berish ◽  
Wen Liu ◽  
...  

Abstract Communication is fundamental for daily care activities in nursing homes (NHs). Second-by-second behavioral coding of video observations is an ideal approach to examine the interactive nature of communication but requires a reliable coding scheme. Recent studies have adapted the Peron-Centered Behavioral Inventory (PCBI) and Task-Centered Behavioral Inventory (TCBI) to analyze caregiver communication during mealtime interactions, but their use for coding general daily caregiving activities has not been widely evaluated. This pilot study adapted the PCBI and TCBI of video observations and determined their inter-rater reliability for measuring caregiver verbal communication with persons with dementia (PwD). We analyzed videos from a randomized controlled trial of an intervention to improve caregiver communication in NHs. We selected one 1-minute segment from 12 videos that included interactions of caregiver-resident dyads. One research assistant transcribed caregivers’ verbal communication and segmented the communication into utterances. Two other research assistants independently coded each utterance using the adapted PCBI and TCBI. The coding scheme was expanded by modifying the existing operational definitions, adding three new codes, and developing a coding decision guide. Residents were Caucasian (100%), mean age 86 years with dementia and resistive behaviors. The adapted PCBI and TCBI had an inter-rater reliability of Kappa=0.656 (p<.001) across the 12 videos. Overall, our adapted PCBI and TCBI showed substantial inter-rater reliability. The results support the use of our adapted PCBI and TCBI to distinguish between person-centered and task-centered communication in video observations, which, in turn, allows for sequential analysis to examine the impact of caregiver communication on PwD.


PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176610 ◽  
Author(s):  
Min Sheng ◽  
Peiying Liu ◽  
Deng Mao ◽  
Yulin Ge ◽  
Hanzhang Lu

Author(s):  
Zahra Gholami

<p>The present study was aimed to examine the effect of relationship-oriented and task-oriented management styles on organizational atmosphere in Tehran's high schools in 2016. Research method was practical in terms of objective; and it was survey-descriptive in terms of data collection. The statistical population consisted of all high school managers in Tehran, from which 322 individuals were selected as sample size, using Cochran Formula and Stratified Cluster Sampling Method. Data collection was done based on Halpin and Croft's Organizational Climate questionnaire, and Bardtz and Matenkas's management Style questionnaire. After collecting the questionnaires, data were examined and analyzed using Structural Equation Modeling method and Smart PLS software in two sections: 1) measurement model and 2) structural section. In the first section, technical features of the questionnaires included reliability, convergent validity, divergent validity, which were examined through PLS. In the second section, the software's significance coefficients were used for examining research hypotheses. Finally, findings approved of the effect of relationship-oriented and task-oriented management styles on organizational climate in Tehran's high schools. </p>


Author(s):  
Junho Lee ◽  
Jihwan Park

The study delved into the impact of intragroup conflict on turnover intentions and cultural commonalities and differences in job satisfaction that mediates the relationship. To identify correlations among intragroup conflict, job satisfaction and turnover intentions for each Korean and Chinese employee, the study analyzed questionnaires used to survey Korean employees working at Korean companies and Chinese workers in Korean companies based in China. The study divided intragroup conflict into two types - relation conflict and task conflict - and looked into the impact of each conflict on turnover intentions, and found that both types of conflict heightened turnover intentions of both Korean and Chinese workers. The study also attempted to prove the mediating effects of job satisfaction on the relationship between relation conflict and task conflict, and turnover intentions. As a result, mediating effects were found only in the relationship between relation conflict and turnover intentions among Chinese employees, while Korean workers saw the same effects only in the relationship between task conflict and turnover intentions. The above-mentioned results indicate the following implications. Firstly, there were common effects of intragroup conflict on turnover intentions for both Korean and Chinese employees. Such effect can be understood from culture universal perspective. Secondly, differences emerged in the mediating effects of job satisfaction in the relationship between turnover intentions and intra-group conflicts. That is understandable from culture specific perspective. Thirdly, the result that can be inferred from the aforementioned findings is that when it comes to cross-cultural research on methods of management, it is important to consider two types of approaches - culture universal and culture specific approaches. Lastly, the study also indicated that companies operating overseas should seek both localized and global management.


2021 ◽  
Author(s):  
Haleh Khojasteh

The focus of this thesis is solving the problem of resource allocation in cloud datacenter using an Infrastructure-as-a-Service (IaaS) cloud model. We have investigated the behavior of IaaS cloud datacenters through detailed analytical and simulation models that model linear, transitional and saturated operation regimes. We have obtained accurate performance metrics such as task blocking probability, total delay, utilization and energy consumption. Our results show that the offered load does not offer complete characterization of datacenter operation; therefore, in our evaluations, we have considered the impact of task arrival rate and task service time separately. To keep the cloud system in the linear operation regime, we have proposed several dynamic algorithms to control the admission of incoming tasks. In our first solution, task admission is based on task blocking probability and predefined thresholds for task arrival rate. The algorithms in our second solution are based on full rate task acceptance threshold and filtering coefficient. Our results confirm that the proposed task admission mechanisms are capable of maintaining the stability of cloud system under a wide range of input parameter values. Finally, we have developed resource allocation solutions for mobile clouds in which offloading requests from a mobile device can lead to forking of new tasks in on-demand manner. To address this problem, we have proposed two flexible resource allocation mechanisms with different prioritization: one in which forked tasks are given full priority over newly arrived ones, and another in which a threshold is established to control the priority. Our results demonstrate that threshold-based priority scheme presents better system performance than the full priority scheme. Our proposed solution for clouds with mobile users can be also applied in other clouds which their users’ applications fork new tasks.


2021 ◽  
Author(s):  
Haleh Khojasteh

The focus of this thesis is solving the problem of resource allocation in cloud datacenter using an Infrastructure-as-a-Service (IaaS) cloud model. We have investigated the behavior of IaaS cloud datacenters through detailed analytical and simulation models that model linear, transitional and saturated operation regimes. We have obtained accurate performance metrics such as task blocking probability, total delay, utilization and energy consumption. Our results show that the offered load does not offer complete characterization of datacenter operation; therefore, in our evaluations, we have considered the impact of task arrival rate and task service time separately. To keep the cloud system in the linear operation regime, we have proposed several dynamic algorithms to control the admission of incoming tasks. In our first solution, task admission is based on task blocking probability and predefined thresholds for task arrival rate. The algorithms in our second solution are based on full rate task acceptance threshold and filtering coefficient. Our results confirm that the proposed task admission mechanisms are capable of maintaining the stability of cloud system under a wide range of input parameter values. Finally, we have developed resource allocation solutions for mobile clouds in which offloading requests from a mobile device can lead to forking of new tasks in on-demand manner. To address this problem, we have proposed two flexible resource allocation mechanisms with different prioritization: one in which forked tasks are given full priority over newly arrived ones, and another in which a threshold is established to control the priority. Our results demonstrate that threshold-based priority scheme presents better system performance than the full priority scheme. Our proposed solution for clouds with mobile users can be also applied in other clouds which their users’ applications fork new tasks.


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