In this article, the authors mainly investigate the dynamic performance of VMI-APIOBPCS (Vendor Manage Inventory-Automatic Pipeline Inventory and Order Based Production Control System) in the apparel industry. With the increasing importance of supply chain system integration, VMI-APIOBPCS can...

Action learning can only be understood if organisation is understood. Organisation can only be understood if the behaviour of the human creatures which compose organisation can be captured by a reasonably realistic model. For this reason the author proposes a human model. From this he builds up...

Purpose – The purpose of this paper is to understand the different kinds of health‐promotion activities undertaken by Chinese individuals in managing their disability from multiple sclerosis (MS). Design/methodology/approach – The theory of control behavior was used in this study to...

Purpose – The purpose of this paper is to arrive at a conceptual understanding of perseverance processes in the context of enterprising behavior and to outline readily employable perseverance strategies for situations characterized by obstacles, challenges and setbacks....

We examine the concepts of stress, distress, and eustress and develop three tenets that are used to relate these concepts to three major theories or models of occupational stress. Selye's concept of eustress or “good stress” appears to be largely ignored in the literature, while the Yerkes...

Purpose – This paper aims to describe an application of key concepts in agency theory to organizational development. Specifically, it seeks to highlight that formal control systems, the ways to regulate employees' performance, are associated with an important factor for organizational...

Purpose – The purpose of this paper is to examine the theoretical interface between statistical thinking, the statistical method of the control chart, and contemporary theories of organisational learning in regard to processes and their improvement. Design/methodology/approach – Theoretical...

Probabilistic programming allows artificial systems to better operate with uncertainty, and stochastic arithmetic provides a way to carry out approximate computations with few resources. As such, both are plausible models for natural cognition. The authors' work on the automatic design of...

Abstract Individual-level models (ILMs) are a class of complex, statistical models that are often fitted within a Bayesian framework, and which can be suitable for modeling infectious disease spread. The deviance information criterion (DIC) is a model comparison tool that is appropriate for...