Xuejun Shen, Minghui Yue, Pengfei Duan, Guihai Wu and Xuerui Tan
Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted…
Abstract
Purpose
Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted accuracy.
Design/methodology/approach
The ABC classification method is used to classify medical consumables and select the analysis objects. The GM (1,1) model predicts the annual consumption of medical materials. The GM (1,1) modeling of the consumption of the selected medical materials in 2006~2017 was carried out by using the metabolite sequence and the sequence topology subsequence, respectively. The average rolling error and the average rolling accuracy are calculated to evaluate the prediction accuracy of the model.
Findings
The ABC classification results show that Class A projects, which account for only 9.79 percent of the total inventory items, occupy most of the inventory funds. Eight varieties with varying purchases and usages and complete historical data were selected for further analysis. The subsequence GM(1,1) model group constructed by two different methods predicts and scans the annual consumption of eight kinds of medical materials, and the rolling precision can reach more than 90 percent.
Originality/value
The metabolic GM (1,1) model is an ideal predictive model that can meet the requirements for a short-term prediction of medical material consumption (Zhang et al., 2014). The GM (1,1) model is more suitable for a short-term prediction of medical material consumption with less data modeling.
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This study explores the relationships between equity, perceived organizational support, job satisfaction, organizational commitment and counterproductive work behavior in Macao's…
Abstract
Purpose
This study explores the relationships between equity, perceived organizational support, job satisfaction, organizational commitment and counterproductive work behavior in Macao's gaming industry. Additionally, it investigates whether the Covid-19 outbreak has effects on employees' perceptions and behaviors.
Design/methodology/approach
Data were collected from two surveys using convenience sampling, one involving 260 casino employees in 2019 and another involving 250 employees in 2020 after the outbreak of Covid-19.
Findings
No significant difference was observed between mean scores from respondents in the first and second surveys on job equity, pay equity, perceived organizational support and job satisfaction (p > 0.05). However, significant changes were found in mean scores for three organizational commitment items (negative changes; p < 0.05) and three counterproductive work behavior items (positive changes; p < 0.05). Results of structural equation modeling indicated that job equity and pay equity affected perceived organizational support and job satisfaction while perceived organizational support impacted organizational commitment directly and indirectly through job satisfaction, all with R2 values greater than 0.6. Organizational commitment negatively influenced counterproductive work behavior.
Research limitations/implications
The Covid-19 impact on casino employees' perceptions and behaviors was contingent upon the duration of pandemic.
Originality/value
The study is one of the first empirical studies to integrate social exchange theory and equity theory to organizational commitment in Macao's gaming industry. Job equity and pay equity were found to influence organizational commitment through perceived organizational support and job satisfaction. Additionally, the Covid-19 did not have significant effects on employees' equity, perceived organizational support and job satisfaction perceptions.
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Liqiang Zhang, Xiaobo Zhou, Guihai Chen and Christian Poellabauer