3 research outputs found

    my.Eskwela: Designing An Enterprise Learning Management System to Increase Social Network and Reduce Cognitive Load

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    A typical learning management system (LMS) provides a tool for teachers to upload and create links to resources, create online assessments and provide immediate evaluation to students. As much as it tries to be student centered, most LMS remains a tool for instruction rather than learning. In a learning generation that is bound by very high online social capital, connectedness to the family weakens. my.Eskwela (My School) redefines LMS to include a parent component to address the need for inclusive participation of parents in the teaching-learning process. Basis for re-design came from the low user acceptance of teachers in using similar system. The study premised that designing an environment that evokes a ”feeling of socialness” through social widgets provides a perceived presence of a social environment that will increase usage of the system. In a majority of the focus group discussion, results showed a more positive evaluation of the system. Precisely, for perceived usefulness, perceived ease of use, perceived adoption and intent to use, it can be reasoned that the implementations for reducing the total effort to perform a task and the effect of implementing social interaction in the user-interface has high-impact

    Equipment users’ experiences of a manufacturer’s smart services

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    Purpose: The use of a manufacturers’ equipment and industrial services is dependent on the users’ readiness and capabilities. In a business-to-business context, different users may have different experiences with intelligent product features and related smart services, and the experiences need to be understood, when a manufacturer develops and delivers its industrial services. The goal of this study is to identify user experience patterns concerning intelligent product features and related smart services for industrial equipment. The focus is on the early phases of adopting the intelligent product features and related smart services. Design/Methodology/Approach: A qualitative case study was implemented with two customers of a machine manufacturer. Data were collected through interviews, and user experiences were analysed concerning intelligent features, services, and the service supplier. Findings: The cross-case analysis reveals that all users do not experience benefits from intelligent features and related smart services. Four different user experience patterns are reported: feature-centric, competence-centric, development-oriented, and decision-oriented. Originality/Value: The study adopts a users’ perspective to industrial services, thereby offering a more nuanced idea of customer experiences and potentially explaining why digital servitization proceeds slowly within customer firms.publishedVersionPeer reviewe
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