Nader Azizi, Ming Liang and Saeed Zolfaghari
Boredom is believed to be the common cause of workers' absenteeism, accidents, job dissatisfaction, and performance variations in manufacturing environments with repetitive jobs…
Abstract
Purpose
Boredom is believed to be the common cause of workers' absenteeism, accidents, job dissatisfaction, and performance variations in manufacturing environments with repetitive jobs. Effectively measuring and possibly predicting job boredom is the key to the design and implementation of appropriate strategies to deal with such undesirable emotional state. The purpose of this paper is to present new methodologies to measure and predict human boredom at work.
Design/methodology/approach
Two series of mathematical formulations, linear and nonlinear, to describe the variation of human boredom at work are first presented. Given the complexity of human emotions, the authors also present a probabilistic framework based on state‐of‐the‐art Bayesian networks to model employees' boredom at work.
Findings
The proposed methods centre on the prediction and measurement of human boredom at work. They enable managers to take proactive actions to deal with human boredom at work. Examples of such actions are task rotation and job redesign.
Research limitations/implications
The proposed methods are verified using a number of cases describing a set of phenomena that may occur in the real world. However, further research is required to demonstrate the validity of the models using real world data.
Originality/value
According to accessible literature, human boredom is being measured by self reporting scales thus far. This study describes and demonstrates analytical approaches to model human boredom at work.
Details
Keywords
Abid Hussain, Amjid Khan and Pervaiz Ahmad
As a part of doctoral study, this study aims to analyze research on library management models (LMMs) by conducting a systematic literature review (SLR).
Abstract
Purpose
As a part of doctoral study, this study aims to analyze research on library management models (LMMs) by conducting a systematic literature review (SLR).
Design/methodology/approach
A Preferred Reporting Items for Systematic Review and Mata-Analysis approach was used to search four databases. The search criteria included studies published in English until 2022, resulting 9,125 records. Out of these records, a total of 36 studies were selected for final analysis
Findings
The results show a positive attitude among researchers toward the development of LMM for libraries globally. The results depict that more than one-third (39%) of the target population was comprised of academic staff and students. The majority (91.76%) of studies were conducted using survey. Quantitative methods were predominant (89%) for LMMs. There were a significant number of studies conducted in 2016. The country-wise distribution shows the USA and China each contribute (20%) of the studies.
Practical implications
The findings of this research could assist policymakers and authorities in reconciling the LMMs applied in libraries for providing efficient access to information resources and services to end users.
Originality/value
To the best of the authors’ knowledge, this study is unique as no comprehensive study has been conducted on LMMs using the SLR method.
Details
Keywords
Mojisola D. Kupolati, Una E. MacIntyre and Gerda J. Gericke
The aim of this review is to critically assess published articles on school-based nutrition education (NE) intervention to identify factors hindering or contributing to the…
Abstract
Purpose
The aim of this review is to critically assess published articles on school-based nutrition education (NE) intervention to identify factors hindering or contributing to the success of interventions. School-based NE possesses the capacity to influence learners’ nutrition behaviours.
Design/methodology/approach
An electronic search of articles was conducted in Medline, PubMed, the Cumulative Index to Nursing and Allied Health Literature databases, Google and snowballing. Included in the review were school-based studies with classroom NE with or without nutrition services and studies published between 2000 and 2013. School-based non-intervention studies and interventions that did not include a nutrition teaching component were excluded in the review.
Findings
Thirty-nine studies met the inclusion criteria. Features of successful NE interventions included the use of behavioural theories, especially the social cognitive theory and the involvement of trained teachers in the implementation of interventions. Capacity development for teachers, time constraints, school policies and implementation problems of multicomponent interventions were some of the identified challenges encountered in the studies reviewed.
Originality/value
Trained teachers are invaluable assets in interventions to improve nutrition behaviours of learners. Challenges associated with teacher-oriented school-based NE intervention can be overcome by properly designed and implemented interventions based on behavioural theory.