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Our study examined whether work engagement follows a predictable pattern over the course of the work week and the role of personality traits in shaping this pattern.

We examined these questions with 131 employees from Canada and the United States who provided daily ratings of work engagement over the course of 10 work days.

Multilevel modeling revealed that employee engagement followed an inverted U-shaped curvilinear pattern from Monday to Friday, peaking midweek. Neuroticism moderated the change pattern of engagement across the work week, such that individuals with higher levels of neuroticism experienced lower and less stable levels of work engagement throughout the work week compared with individuals with lower levels of neuroticism. However, extroversion and conscientiousness did not moderate the change pattern of employee engagement.

These results provide insight into the entrainment of work to the work week and how this entrainment is further affected by the personality trait neuroticism.

Understanding the weekly pattern of work engagement will help leaders’ time work assignments, interventions, and training sessions to keep the levels of employee engagement high.

Our study revealed novel predictors of within-person engagement: weekly entrainment and neuroticism.

The traditional product-costing continuum is too limited to account for the new mass customization approach currently used by many corporations in many industries. Mass customization has changed the nature of many transactions, activities and, indeed, the very essence of many manufacturing companies, who have become more of assemblers than manufacturers. These new developments necessitate establishing new way of accounting for proper planning and control. After tracing the development of the mass customization approach from modular manufacturing into common platforms applied in one firm, and then shared by a group of firms, the paper explains the benefits of these approaches to both manufacturers and their suppliers. The central theme of this paper is to develop a product costing system for mass customization. It begins with the traditional product-process matrix in operations management literature and adds to it two elements: firm size and the modular manufacturing method. The rationale for this addition is that modular manufacturing is the best mass customization method; firm size and mass customization are inherently related as indicated by the typical evolutionary pattern of production processes. At this point, the operations management taxonomy is renamed the modular-process matrix; this matrix displays three groups of major activities: manufacturing, supplemental manufacturing, and assembling activities. These three activity groups provide the basis for developing a new set of accounts and a ledger system to account for specific customer orders developed by mass-customization processes.

Road network performance when a large disaster happens depends on how the road traffic is regulated. To evaluate the performance of the road network, one should consider the traffic regulation in an emergent condition. Authors have proposed the idea of area traffic regulation when a large disaster occurs (Iida, et al., 2000). In the former paper, a bi-level optimisation model to calculate the optimal regulation ratio is proposed. This paper proposes an efficient and fast method to calculate regulation ratios for two-stage road traffic regulation. The simplified model adopts linear programming method instead of bi-level optimisation method, which is quicker and simpler. The simpler algorithm contributes to conduct various kinds of case studies, and helps finding a reliability of the road network considering traffic regulations after a disaster.

Purpose: Technological innovations and frameworks that provide a framework for unification have evolved to improve information exchange across organisational units and information security. These integration technologies share and communicate information using defined protocols and different data. Service-oriented architecture (SOA) is a significant emerging approach that enables modular design solution construction.

Methodology: These designs are beneficial when many apps operating on different architectures and networks need to connect. A well-defined strategy and company-specific guidelines are essential for ensuring the firm’s systematic adoption of such an architecture. The critical components of MASSOASCM ‘(Multi-Agent System Service Oriented Architecture Supply Chain Management’ are a multi-agent system (MAS), a service-oriented structure, and supplier management. The MASSOASCM model has been made, and a production unit has been made to show how it works.

Findings: It has been stated that it saves development costs, and inventory management, all of which are critical concerns in any company. Our goal is to create an inventory control approach that relies on MAS and SOA but also a simulation that demonstrates how it works and may enhance Supply Chain Management (SCM) productivity in a production plant.

Practical Implications: The SCM implementation comprises three different services: SCM, SOA, and MAS. These facilities are constructed, maintained, planned, and implemented individually before being brought together collectively using MAS and SOA techniques.