The Interaction Effect of Goal Misalignment and Metaknowledge Distribution on Team Decision Making in Operations and Supply Chain Management

The effect of transactive memory systems on supply chain network collaboration

Purpose

This research is aimed at understanding how inter-organizational team members' ability to encode, interpret, retain and recall knowledge can lead to effective supply chain collaboration, resulting in improved firm performance. Using the lens of transactive memory systems (TMS), this research demonstrates the value of knowing who knows what (specialization), is it trustworthy (credibility) and how to retrieve it (coordination) on supply chain firm performance through network collaboration.

Design/methodology/approach

The authors used a multi-method approach that includes quantitative survey methodology and a qualitative methodology using semi-structured interviews. In total, 207 survey responses and six semi-structured interviews provided valuable insights into the use of TMS in supply chain relationships.

Findings

This study shows that TMS can enable firms to exploit potential benefits of collaboration on network optimization, thus improving the overall efficiency and process innovations.

Practical implications

To maintain the efficient use of a firm's assets while suppliers get added or removed from the network, this study’s findings suggest that managers should be more knowledgeable of supply chain partners carrying codified knowledge, which can contribute to superior firm performance. Recognizing that when two or more firms collaborate, there are multiple supply chains affected by each decision, it is important that managers carefully assign the specific role of each firm within the supply chain.

Originality/value

This research takes a new approach to network optimization by specifically considering how firms work together to share information about their changing networks to allow firms throughout the supply chain to gain greater levels of asset efficiency and process improvement.

Project managers' reactions to project disruption: sponsor actions versus environmental uncertainty

Purpose

Managing projects is an important part of operations management, but many projects fail. This study focuses on attribution processes of such disruption from the underrepresented perspective of the project manager. The authors consider two types of causes: the more frequently researched environmental uncertainty (i.e. uncontrollable events) and the scarcely researched uncertainty imposed by non-collaborative project sponsors (i.e. other-controllable events).

Design/methodology/approach

The authors test conceptual arguments grounded in attribution theory and the notion of psychological contracts in a scenario-based experiment among 325 practicing project managers.

Findings

The findings indicate that non-collaborative project sponsors negatively affect project managers' motivation, whereas uncontrollable disruptions leave hope to achieve positive future outcomes. This latter effect is further strengthened when project managers have an internal attribution style. They tend to blame the disruption on themselves and generally feel in control of achieving success even if they are not.

Originality/value

These socio-psychological insights nuance the economic idea that uncertainty reduces motivation per se in the context of project disruption appraisal. The authors contribute to the behavioral project management literature and general attribution theory and help guide the allocation of resources during the recovery of failed projects.

Matching goal-based incentive systems with cross-functional integration to improve operation and innovation performance

Purpose

Cross-functional integration has been an important factor for manufacturing firms' performance outcomes. The study aims to expand previous research by investigating the moderating role of goal-based incentive systems in the relationship between cross-functional integration and competitive performance.

Design/methodology/approach

Based on multi-source data from 269 manufacturing firms around the world, regression analysis is used to test the proposed research model.

Findings

The authors' findings suggest that cross-functional integration enhances manufacturers' innovation and operational performance. Moreover, cross-functional integration has a stronger impact on operational performance when firms implement a well-designed goal-based incentive system. However, the authors find that the goal-based incentive system does not moderate the relationship between cross-functional integration and innovation performance.

Originality/value

The study, by investigating the fit between goal-based incentive systems and cross-functional integration, provides practical insights into the ways that firms apply cross-functional integration and goal-based incentive systems to enhance competitive performance.

Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain

Unpredictable natural and man-made disasters highlight importance of humanitarian supply chain (HSC) to serve people and affected areas. The main challenges of applying effective relief operations are creating "swift trust" and "coordination" between aid organizations. Implementation of Industry 4.0 facilitates coordination and swift trust within HSC performance. The study intends to assess the readiness status of swift trust and coordination between stakeholders as well as to recommend the most suitable Industry 4.0 tools for improving relief operations. Firstly, a comprehensive set of critical success factors for implementing Industry 4.0 tools are introduced. The factors are categorized into limited groups using Exploratory Factor Analysis. In the next step, hierarchy fuzzy expert system is designed for assessing the readiness status of swift trust and coordination as well as to suggest the most suitable Industry 4.0 tool for enhancing HSC performance within given case study. The framework was applied for three aid organizations to address the pandemic disease in Iran. The outcome denotes that the organization has the highest readiness in logistic and transparency while information quality received the lowest readiness value. In addition to that, the organization should invest on the development of Industry 4.0 enablers including "Internet of Things and Big Data Analytics". The study extends organizational information process theory within HSC for reaching competitive advantage by information processing. The study suggests theoretical and practical implications by introducing a comprehensive set of critical success factors for implementation of Industry 4.0 and providing practical advice for enhancing HSC performance.

Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain

Unpredictable natural and man-made disasters highlight importance of humanitarian supply chain (HSC) to serve people and affected areas. The main challenges of applying effective relief operations are creating "swift trust" and "coordination" between aid organizations. Implementation of Industry 4.0 facilitates coordination and swift trust within HSC performance. The study intends to assess the readiness status of swift trust and coordination between stakeholders as well as to recommend the most suitable Industry 4.0 tools for improving relief operations. Firstly, a comprehensive set of critical success factors for implementing Industry 4.0 tools are introduced. The factors are categorized into limited groups using Exploratory Factor Analysis. In the next step, hierarchy fuzzy expert system is designed for assessing the readiness status of swift trust and coordination as well as to suggest the most suitable Industry 4.0 tool for enhancing HSC performance within given case study. The framework was applied for three aid organizations to address the pandemic disease in Iran. The outcome denotes that the organization has the highest readiness in logistic and transparency while information quality received the lowest readiness value. In addition to that, the organization should invest on the development of Industry 4.0 enablers including "Internet of Things and Big Data Analytics". The study extends organizational information process theory within HSC for reaching competitive advantage by information processing. The study suggests theoretical and practical implications by introducing a comprehensive set of critical success factors for implementation of Industry 4.0 and providing practical advice for enhancing HSC performance.

Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain

Unpredictable natural and man-made disasters highlight importance of humanitarian supply chain (HSC) to serve people and affected areas. The main challenges of applying effective relief operations are creating "swift trust" and "coordination" between aid organizations. Implementation of Industry 4.0 facilitates coordination and swift trust within HSC performance. The study intends to assess the readiness status of swift trust and coordination between stakeholders as well as to recommend the most suitable Industry 4.0 tools for improving relief operations. Firstly, a comprehensive set of critical success factors for implementing Industry 4.0 tools are introduced. The factors are categorized into limited groups using Exploratory Factor Analysis. In the next step, hierarchy fuzzy expert system is designed for assessing the readiness status of swift trust and coordination as well as to suggest the most suitable Industry 4.0 tool for enhancing HSC performance within given case study. The framework was applied for three aid organizations to address the pandemic disease in Iran. The outcome denotes that the organization has the highest readiness in logistic and transparency while information quality received the lowest readiness value. In addition to that, the organization should invest on the development of Industry 4.0 enablers including "Internet of Things and Big Data Analytics". The study extends organizational information process theory within HSC for reaching competitive advantage by information processing. The study suggests theoretical and practical implications by introducing a comprehensive set of critical success factors for implementation of Industry 4.0 and providing practical advice for enhancing HSC performance.