Over the past few decades, Quality Management System (QMS) and High Performance Work System (HPWS) have emerged as key concepts to enhance organizational effectiveness. All over the globe, majority of contemporary manufacturing and services organizations have applied at least one of these development strategies or even both. This study proposes an integrated framework of QMS and HPWS and empirically investigates the relationship between QMS and HPWS practices and their direct and indirect effects on organizational effectiveness using structural equation modelling (SEM). This research makes a number of significant contributions: (1) The black box of the conjoint implementation is opened up for better appreciation of the interplay of QMS and HPWS practices and their influence on organizational effectiveness (2) The key QMS practices recognized as contributing factor of performance have been classified and examined at two distinct levels i.e. QMS Top Level practices and QMS Core practices (3) The mediating and interaction effects of QMS Core practices and HPWS practices on the relationship of QMS-Top Level practices and organizational effectiveness have been thoroughly investigated. The proposed framework is tested through cross-sectional data from 90 Technical Services Organizations (TSO) operating in Pakistan. The research hypotheses are supported by the test results of the SEM. The findings and implications are discussed along with limitations and future research guidelines.
The main objective of this study is to investigate the mediating effects of organizational citizenship behavior (OCB), destructive deviant behaviors (DDB), constructive deviant behaviors (CDB), and workaholism (WA) in the relationship between work ethic (WE) and the productivity of engineering students. Another objective is to present a comprehensive holistic model of relationships of these organizational behaviors (OB), attitudes, and work ethic with the productivity. Structure equation modeling (SEM) and Hayes’ processes are used to analyze the hypothesized model. Data were randomly collected from 400 participants from the universities of Pakistan. The overall assessment of the model showed that WE indirectly effects productivity through mediating variables (OCB, DDB, CDB, WA). One of the implications of this finding is that education practitioners/planners should promote work ethic (considered essential for sustainable management practices by contemporary researchers also) among engineering students. This ethic will be reflected in students’ behaviors (enhanced positive behaviors/attitudes, i.e., OCB, CDB, and WA, and reduced negative behaviors i.e., DDB) which will in turn improve their productivity. The originality of this research lies in it being the first to explore the indirect effect of Islamic work ethic (IWE) on individuals’ productivity through OCB, DDB, CDB, and WA.
This study explores the relationships between positive and negative Organizational Behaviors and Workaholism; and the relationship of these OBs with productivity and gender of engineering students in Pakistan. Most of the researchers have studied OBs among faculty or administrative staff in universities. The study of these behaviors among students is a new area. An eight-stage innovative qualitative codebook thematic analysis was used to analyze semi-structured interviews from 22 faculty members to explore the relationships of OBs with productivity and gender of engineering students. A comprehensive model of relationships between OCB, DB, WA, and the productivity of engineering students has been built which was previously missing from contemporary literature. Gender has also been found to have a relationship with various behaviors. The findings here are important for practitioners and scholars for a better understanding of the relationship of OBs with the productivity of engineering students, to enhance their productivity through the promotion of desired behaviors.
Inherent uncertainties in demand and supply make it problematic for supply chains to accomplish optimum inventory replenishment, resulting in loss of sales or keeping excessive inventories. To cope with erratic demands, organizations have to maintain excessive inventory levels, sometimes taking up to one-third of an organization’s annual budget. The two most pressing concerns to handle in inventory management are: how much to order and when to order. Therefore, an organization ought to make the correct and timely decisions based on precise demand information to avoid excessive inventory accumulation resulting in enhanced competitive advantage. Owing to the significance of inventory control and analysis, this paper reports on developing and successfully implementing a hybrid framework for optimum level inventory forecasting in Technical Services Organizations. The proposed framework is based on a case study of one of Pakistan’s leading Technical Services Organization. The paper presents a statistical analysis of historical data and a comprehensive fault trend analysis. Both these analyses set a solid foundation for the formulation of a comparative analysis matrix based upon price and quantity based analysis of inventory. Finally, a decision criterion (Forecasting Model) is proposed using three primary forecasting techniques with minimum error calculations. The study’s finding shows a forecast error of 142.5 million rupees in the last five years, resulting in the accumulation of more than 25 thousand excessive inventory stock. Application of price and quantity based analysis identifies that 65% of the annual budget is significantly dependent upon only 9% (in terms of quantity) of "High Price and Small Quantity" Items (HS). These HS items are forecasted through three different forecasting methods, i.e., Weighted Moving Average, Exponential Smoothing, and Trend Projection, with Minimum Absolute Deviation to significantly reduce the forecasting error while predicting the future required quantity. The research work aims to contribute to the inventory management literature in three ways. First, a new comparative analysis matrix concept for identifying the most critical items is introduced. Second, a Multi-Criteria Forecasting Model is developed to capture a wide range of operations. Third, the paper suggests how these forecasting criteria can be integrated into a single interactive DSS to maintain optimum inventory level stock. Even though the DSS framework is based on data from a single organization, the application is expected to manage inventory stock in a wide range of manufacturing and services industries. This study’s proposed hybrid framework is the first of its kind that encapsulates all four dimensions of inventory classification criteria, forming a multi-criteria hybrid model within a DSS framework.
This study explores the relationships between Islamic Work Ethics (IWE), workaholism (WA) and positive and negative Organizational Behaviors (OBs) amongst Engineering Students. Most of the researchers have studied OBs and ethics among faculty or administrative staff in universities. Study of these behaviors among students is a novel area of research. This study proposes an integrated framework of Islamic Work Ethics (IWE), Organizational Citizenship Behavior (OCB), Constructive and Destructive Deviant Behaviors, and workaholism (WA) with the productivity (CGPA) of engineering students and empirically investigates the relationship between productivity, behaviors and ethics and moderating effect of IWE on the relationship of OCB and productivity of engineering students using Preacher and Hayes Technique. This research makes a number of significant contributions: (1) organizational behaviors are explored among engineering students which were previously studied among faculty members/employees only (2) a model of behaviors, ethics, WA and productivity is prepared using hierarchical regression which was not available in literature. The findings and implications are discussed along with future research guidelines. The findings here are important for practitioners and scholars for better understanding of relationship of OBs, WA and ethics with the productivity of engineering students in order to enhance their productivity through promotion of desired behaviors amongst them.
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