scholarly journals Changes in Welfare with a Heterogeneous Workforce: The Case of Peru

2016 ◽  
Author(s):  
Adrián Robles ◽  
Marcos Robles
Keyword(s):  
Heterogeneous Workforce

Introducing Mobile Technology into an Australian City Council

2011 ◽  
pp. 848-858
Author(s):  
Joanne Marie Curry
Keyword(s):  
Local Government ◽  
Mobile Technology ◽  
New Technologies ◽  
City Council ◽  
Mobile Technologies ◽  
Client Expectations ◽  
Standards And Guidelines ◽  
Australian City ◽  
The University ◽  
Heterogeneous Workforce

In an ongoing bid to provide high quality local government services, Penrith City Council partnered with the University of Western Sydney to derive a mobile strategy for the development of a range of handheld systems for use in the field. Several R&D projects aimed at determining the viability of using mobile technology for the conduct of off-site health, building and development and sewerage inspections and the allocation of parking and waste management infringements were conducted over a two-year period. Some significant issues relating specifically to the implementation of mobile technologies in a large Australian city council were encountered including: release hype vs. the implementation realities of mobile technology, technological options for the introduction of mobility, user acceptance of new technologies, management of client expectations, and local government standards and guidelines and their impact on development directions. The experiences and lessons that were learned from these projects can be of assistance to other local government agencies and similar organisations employing a heterogeneous workforce that is restrained by external legislation and policy.

scholarly journals MANAGING DIVERSITY IN ORGANISATIONS TO GAIN COMPETITIVENESS

2021 ◽  
Vol 9 (09) ◽  
pp. 319-321
Author(s):  
Rakesh Ranjan
Keyword(s):  
Work Organization ◽  
Diverse Workforce ◽  
Managing Diversity ◽  
Talented People ◽  
Diverse Backgrounds ◽  
The World ◽  
Organizational Function ◽  
The Many ◽  
Heterogeneous Workforce

Organizations the world over is increasingly finding themselves coping with the changes taking place in their environment. There are two sets of forces that are changing the once familiar organizational landscape increasing reliance on teams and the changing workforce. This is bringing more and more people from diverse backgrounds into contact with one another. In general, diversity refers to the ways that people in organizations differ. That sounds simple, but defining it more specifically is a challenge because people in organizations differ in many ways-races, gender, ethnic group, age, personality, cognitive style, tenure, organizational function, and more. Managing diversity means establishing a heterogeneous workforce to perform to its potential in an equitable work environment where no member or group of members has an advantage or a disadvantage. Effectively managing diversity helps organizations to identify and capitalize on opportunities to improve products and services, attract, retain, motivate and utilize talented people effectively improve the quality of decision-making at all organizational levels and reap the many benefits from being perceived as a socially conscious and progressive organization. The paper attempts to analyze the mechanism of leveraging and unleash the powerful benefit of a diverse workforce in work organization.

Working Longer but Not Harder: The Effects of Incentivizing Inputs versus Outputs in a Heterogeneous Workforce

2020 ◽  
Author(s):  
Eric W. Chan ◽  
Steven J. Kachelmeier ◽  
Xinyu Zhang
Keyword(s):  
Relative Time ◽  
The Individual ◽  
Heterogeneous Workforce

To address the empirical phenomenon that organizations often reward time on the job as an end in itself, we design an experiment in which participants solve anagram puzzles, manipulating whether a compensation pool generated from the output of paired workers is allocated based on the individual inputs of relative time spent or on the individual outputs of puzzles solved. Relative to an output-based allocation, we find that an input based allocation leads participants to spend more time on the task. However, when paired participants have widely different abilities, an input-based allocation also leads to less effort intensity, defined as puzzles solved per unit of time spent. We attribute these findings to fairness considerations, an interpretation we corroborate in a second experiment with purely individual incentives that finds the same effort duration advantage of input-based pay but no offsetting disadvantage in effort intensity.

Sequencing mixed-model assembly lines operating with a heterogeneous workforce

2014 ◽  
Vol 53 (11) ◽  
pp. 3419-3432 ◽  
Author(s):  
Pâmela M.C. Cortez ◽  
Alysson M. Costa
Keyword(s):  
Mixed Model ◽  
Assembly Lines ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly ◽  
Heterogeneous Workforce

scholarly journals A Successful Three-Phase Metaheuristic for the Shift Minimization Personal Task Scheduling Problem

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Kimmo Nurmi ◽  
Nico Kyngäs
Keyword(s):  
Task Scheduling ◽  
Real World ◽  
Solution Process ◽  
Scheduling Problem ◽  
Workforce Scheduling ◽  
Workload Prediction ◽  
Three Phase ◽  
Benchmark Instances ◽  
Heterogeneous Workforce ◽  
Generation Problem

Workforce scheduling process consists of three major phases: workload prediction, shift generation, and staff rostering. Shift generation is the process of transforming the determined workload into shifts as accurately as possible. The Shift Minimization Personnel Task Scheduling Problem (SMPTSP) is a problem in which a set of tasks with fixed start and finish times must be allocated to a heterogeneous workforce. We show that the presented three-phase metaheuristic can successfully solve the most challenging SMPTSP benchmark instances. The metaheuristic was able to solve 44 of the 47 instances to optimality. The metaheuristic produced the best overall results compared to the previously published methods. The results were generated as a by-product when solving a more complicated General Task-based Shift Generation Problem. The metaheuristic generated comparable results to the methods using commercial MILP solvers as part of the solution process. The presented method is suitable for application in large real-world scenarios. Application areas include cleaning, home care, guarding, manufacturing, and delivery of goods.

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