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This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

The purpose of this study is to describe participation in decision-making among service users with severe mental illness.

Service users want to participate in decision-making and in the planning of their care. There are widely known methods, such as shared decision-making, that could be used to facilitate service user participation. Three focus group interviews were conducted with the participation of 14 persons with mental illness and/or substance abuse who were service users at two Swedish Homes for Care and Residence (HVB). Data were analyzed by qualitative content analysis.

Two themes emerged: service users’ involvement in decisions is hampered by the professionals’ approach and adequate information and experience of participation means greater empowerment.

Although it is known that service users would like to have more influence, and that methods like shared decision-making are recommended to empower service users and improve the decision process, research on these matters is limited.

This study reveals that there is a need of more systematic decisional support, such as shared decision-making, so that service users can be seen as important persons not only in guidelines and policy documents but also in clinical practice.

The findings indicate that service users do not participate in decisions systematically, although policies, guidelines and laws providing that service users should be offered an active part in decision-making with regard to their care and treatment.

Although it is known that service users would like to have more influence, and that methods like shared decision-making are recommended to empower service users and improve their decision process, research on these matters is limited. The findings indicate that service users do not participate in decisions systematically, even though policies, guidelines and laws are in place stipulating that service users should be offered an active part in decision-making with regard to their own care and treatment. The results of this project bring improvement opportunities to light.

Drawing on information processing theory, the linkage between buffering and bridging and the ability on the part of procurement to resolve demand–supply imbalances is investigated, as well as contexts in which these strategies may be particularly useful or detrimental. Buffering may be achieved through demand change or redundancy, while bridging may be achieved by the means of collaboration or monitoring.

This study employs a hierarchical regression analysis of a survey of 150 Finnish and Swedish procurement and sales and operations planning professionals, each responding from the perspective of their own area of supply responsibility.

Both the demand change and redundancy varieties of buffering are associated with procurement's ability to resolve demand–supply imbalances without delivery disruptions, but not with cost-efficient resolution. Bridging is associated with the cost-efficient resolution of imbalances: while collaboration offers benefits, monitoring seems to make things worse. Dynamism diminishes, while the co-management of procurement in S&OP improves procurement's ability to resolve demand–supply imbalances. The most potent strategy for tackling problematic contexts appears to be buffering via demand change.

The results highlight the importance of procurement in the S&OP process and suggest tactical measures that can be taken to resolve and reduce the effects of supply and demand imbalances.

The results contribute to the procurement and S&OP literature by increasing knowledge regarding the role and integration of procurement to the crucial process of balancing demand and supply operations.