Derek R. Avery, Scott Tonidandel, Sabrina D. Volpone and Aditi Raghuram
Though a number of demographics (e.g. sex, age) have been associated with work overload, scholars have yet to consider the potential impact of immigrant status. This is important…
Abstract
Purpose
Though a number of demographics (e.g. sex, age) have been associated with work overload, scholars have yet to consider the potential impact of immigrant status. This is important because immigrants constitute a significant proportion of the workforce, and evidence suggests many employers believe they are easier to exploit. This paper aims to examine work hours, interpersonal justice, and immigrant status as predictors of work overload.
Design/methodology/approach
The hypotheses were tested using a large, national random telephone survey of employees in the United States (n=2,757).
Findings
As expected, employees who worked more hours tended to perceive more work overload. Importantly, however, this effect interacted with interpersonal justice differently for immigrant and native‐born employees. Justice attenuated the effect of work hours for the former but seemed to exacerbate it somewhat for the latter. Of note, the interactive effect was more than five times larger for immigrants than for natives.
Practical implications
The study shows that supervisors might require their employees to work longer hours without necessarily being perceived as abusive (i.e. overloading them). Doing so, however, requires treating employees justly in the form of respect, courtesy, and dignity. Though this form of just treatment is important for all employees, its effects are especially pronounced for immigrants.
Originality/value
The relationship between the number of hours worked and perceptions of work overload is examined for immigrant and non‐immigrant workers in the USA.
Details
Keywords
Miguel Angel Ortíz-Barrios, Stephany Lucia Madrid-Sierra, Antonella Petrillo and Luis E. Quezada
Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply…
Abstract
Purpose
Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.
Design/methodology/approach
The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.
Findings
The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.
Originality/value
This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.