Swift trust and commitment: the missing links for humanitarian supply chain coordination?

Coordination among actors in a humanitarian relief supply chain decides whether a relief operation can be or successful or not. In humanitarian supply chains, due to the urgency and importance of the situation combined with scarce resources, actors have to coordinate and trust each other in order to achieve joint goals. This paper investigated empirically the role of swift trust as mediating variable for achieving supply chain coordination. Based on commitment-trust theory we explore enablers of swift-trust and how swift trust translates into coordination through commitment. Based on a path analytic model we test data from the National Disaster Management Authority of India. Our study is the first testing commitment-trust theory (CTT) in the humanitarian context, highlighting the importance of swift trust and commitment for much thought after coordination. Furthermore, the study shows that information sharing and behavioral uncertainty reduction act as enablers for swift trust. The study findings offer practical guidance and suggest that swift trust is a missing link for the success of humanitarian supply chains

Preliminary Analysis of the Behavioural Intention to Use a Risk Analysis Dashboard Through the Technology Acceptance Model

Part 10: Maturity Implementation and AdoptionInternational audienceIn the age of the fourth industrial revolution, the competition between Small and Medium-sized Enterprises (SMEs) is fierce to operate efficiently and hold on to their customers. Due to lack of time and methodology, SME leaders are struggling to establish optimized strategies for their businesses. One way is by using dashboards that will proactively help to collect data, make decisions, facilitate the strategy implementation and keep the employees focused. This article aims at determining the suitability of the Technology Acceptance Model to the design of risk analysis dashboard and examining the influence between the model constructs

AttentionBoard: A Quantified-Self Dashboard for Enhancing Attention Management with Eye-Tracking

In the age of information, office workers process huge amounts of information and distribute their attention to several tasks in parallel. However, attention is a scarce resource and attentional breakdowns, such as missing important information, may occur while using information systems (IS). Currently, there is a lack of support to understand and improve attention management to avoid such breakdowns. In the meantime, self-tracking applications are becoming popular due to the increasing sensory capabilities of smart devices. These systems support their users in understanding and reflecting their behavior. In this research-in-progress paper, we suggest leveraging self-tracking concepts for attention management while working with ISs and describe the design of the NeuroIS-based system called “AttentionBoard”. The goal of AttentionBoard is to help office workers in improving their attention management competencies. The system records attention allocation in real-time using eyetracking and presents the aggregated data as metrics and visualizations on a dashboard. This paper presents the first step by motivating and introducing an initial design following the design science research (DSR) methodology

Development and implementation of dashboards for operational monitoring using participatory design in a lean context

The need to increase employees’ productivity in a hypermarket online delivery services is the persuader of the present work. A costumer’ request, through the hypermarket website, initiates the process of collection and delivery of the ordered products. This process briefly comprises to gather the products from the shelves and to report the right indicators, at the right time, to store supervisors. To present the corresponding data and to follow this activity, quantitative dashboards were developed. These dashboards contained all the key indicators through graphs facilitating the reading and comparisons. Also, a dashboard in real time with the identification of employees without activity over a predetermined period of time and indicating the percentage of daily objectives already achieved, helping managers, was developed. All the actors, the project team, decision makers, designer, were involved in the design of the dashboards in a sharing process with the identification of aspects that should be reported or improved. At the end, dashboard enhances decision-making and has a positive impact in operational monitoring.(UID/CEC/00319/2013)info:eu-repo/semantics/publishedVersio