scholarly journals Income in the Off-Season:Household Adaptation to Yearly Work Interruptions

2020 ◽  
Author(s):  
John Coglianese ◽  
Brendan M. Price
Keyword(s):  

2017 ◽  
Author(s):  
Alison M. Bayne ◽  
Nicole L. Petersen ◽  
Russel A. Matthews


2011 ◽  
Author(s):  
Jeff Muldoon ◽  
Russell A. Matthews


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiangyu Liu ◽  
Bowen Zheng ◽  
Hefu Liu

PurposeAlthough social media is widely used for organizational communication, studies have begun to show its controversial effects on job performance in the workplace. To investigate these effects, this study developed a conceptual framework for how social media interactivity affects communication quality and work interruption, as well as how such effects impact job performance.Design/methodology/approachThe proposed theoretical model was empirically validated through a survey study of 556 employees in China.FindingsThe results verified a social media interactivity paradox that indicated social media interactivity increased both communication quality and work interruptions. The results further showed that high levels of social media dependency were a detriment to organizations.Originality/valueThis study verified the existence of a social media interactivity paradox in the use of social media for workplace communication. Moreover, results revealed that the effect of social media interactivity on organizational outcomes depends on its respective dimensions.



2019 ◽  
Vol 26 (7) ◽  
pp. 1294-1320 ◽  
Author(s):  
Tarek Salama ◽  
Osama Moselhi

Purpose The purpose of this paper is to present a newly developed multi-objective optimization method for the time, cost and work interruptions for repetitive scheduling while considering uncertainties associated with different input parameters. Design/methodology/approach The design of the developed method is based on integrating six modules: uncertainty and defuzzification module using fuzzy set theory, schedule calculations module using the integration of linear scheduling method (LSM) and critical chain project management (CCPM), cost calculations module that considers direct and indirect costs, delay penalty, and work interruptions cost, multi-objective optimization module using Evolver © 7.5.2 as a genetic algorithm (GA) software, module for identifying multiple critical sequences and schedule buffers, and reporting module. Findings For duration optimization that utilizes fuzzy inputs without interruptions or adding buffers, duration and cost generated by the developed method are found to be 90 and 99 percent of those reported in the literature, respectively. For cost optimization that utilizes fuzzy inputs without interruptions, project duration generated by the developed method is found to be 93 percent of that reported in the literature after adding buffers. The developed method accelerates the generation of optimum schedules. Originality/value Unlike methods reported in the literature, the proposed method is the first multi-objective optimization method that integrates LSM and the CCPM. This method considers uncertainties of productivity rates, quantities and availability of resources while utilizing multi-objective GA function to minimize project duration, cost and work interruptions simultaneously. Schedule buffers are assigned whether optimized schedule allows for interruptions or not. This method considers delay and work interruption penalties, and bonus payments.



1982 ◽  
Vol 16 (1) ◽  
pp. 5 ◽  
Author(s):  
Peggy Kamuf


Author(s):  
Agar Brugiavini ◽  
Raluca E. Buia ◽  
Irene Simonetti

AbstractUsing data from the first wave of the SHARE COVID-19 Survey and additional information collected from the previous waves of SHARE (Survey of Health Ageing and Retirement in Europe), we explore the effects of job characteristics on two outcomes: (i) the probability of work interruptions and (ii) the length of such interruptions during the first phase of the Coronavirus Pandemic. In order to assess the relationship between job features and labour market outcomes, we define two indexes proxying the pre-COVID-19 technical remote work feasibility as well as the level of social interaction with other people while working. Moreover, we use an indicator that classifies ISCO-08 3-digit job titles based on the essential nature of the good or service provided. We find that job characteristics have been major determinants of the probability of undergoing work interruptions and their duration. In addition, we show that women have been negatively affected by the Pandemic to a much larger extent than men, suggesting the relevance of the intrinsic characteristics of jobs they are mainly involved in, and the role of gender selection into specific activities. Not only females were more likely to have undergone work interruptions but they also exhibited larger probabilities of longer work breaks. A similar impact is seen for self-employed and less-educated workers.



2020 ◽  
Vol 2020 (083) ◽  
pp. 1-57
Author(s):  
John Coglianese ◽  
◽  
Brendan M. Price ◽  
Keyword(s):  


2020 ◽  
Author(s):  
John Coglianese ◽  
Brendan M. Price
Keyword(s):  




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