Mobile e-Services

This research is intended to evaluate the development of mobile multimedia based stop drug tutorial. This tutorial as a campaign to stop drugs, that should encourage people’s ability to integrate all information on mobile application. The tutorial focuses on how people understand about drugs and what to do if someone is drugs addicted. Stopping drug tutorial is created using ADDIE instructional development method, and during the developing stage, it is done using Multimedia Development Life Cycle according to Luther. Subjects of the research are experts in education, visual communication and information technology in the preliminary testing. Evaluation was conducted using the analytic descriptive method on mobile multimedia evaluation method, and interpreted in a narrative way based on the research findings. The evaluation of mobile multimedia application uses combination of multimedia evaluation that is used by educationalist with ISO 9126 that was used by software developer. The research findings show that mobile multimedia stop drugs application can be used with minor revision.

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“…The reason why people like to use mobile device is the advantage of using it while they are doing an activity anywhere and anytime. [7] 2 Method…”

Section: Mediamentioning

confidence: 99%

Mobile Multimedia Evaluation: Development of Stop Drugs Tutorial

Sutopo

Samosir

Gatc

2019

Int. J. Interact. Mob. Technol.

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A Managerial Early Warning System at a Smart Factory: An Intuitive Decision‐making Perspective

Bertoncel

Erenda²,

Bach

et al. 2018

Syst. Res

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Early warning systems are becoming increasingly important in high-risk industries, because of their potential to detect all kinds of subtle threats and opportunities, that is, weak signals, in order to avoid strategic surprises. However, it is an under-researched area within the context of smart factories. For the purpose of the study, semi-structured group interviews were used to investigate how managers at a smart factory, a highly innovative global supplier in the automotive industry sense weak signals, perceive the role of intuition, smart systems and business model adjustments. The results of the study show that managers perceive early warning systems as highly important for timely response to development changes and that both smart systems and intuition play an essential role in detecting and responding to weak signals. Based on this study, we propose a managerial early warning system model with four stages, namely, identifying, screening, appraising and responding to weak signs, within the context of a smart factory.

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