Studies on effects of social media on crisis communication is scarce. This study sought to bridge this gap in research and provide insights for organizations to use in managing crisis communication today. The data for this preliminary study is based on interviews of public relations professionals and case histories of Malaysia Airlines MH 370 crises. It was found that social media substantially accelerated the need for crisis communication by altering the practice of crisis communication, from how crises is reported and managed by organizations. This study also proposed strategies that organizations can implement to prepare for managing the social media element of a crisis.

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Literature has shown that planned change is accompanied by excitement and hope. People affected by change require quality information. Failure to communicate change may lead to resistance. This paper presents a change involving the amalgamation of two university faculties into one. Within the framework of a case study research design and the used of the Constructivist Grounded Theory for data collection and analysis, the theme of communication during the change process is presented through the experiences and life accounts of faculty members involved and affected by it. The paper ends with useful suggestions for change agents in today's complex organization.

The objective of this study is to develop a driving fatigue strain index using fuzzy logic to analyze the risk levels of driving activity among road users. Driving fatigue is always related to the driving activity and has been identified as one of the vital contributors to the road accidents and fatalities in Malaysia. Therefore, the present article introduces the use of fuzzy logic for the development of strain index to provide the systematic analysis and propose an appropriate solution in minimizing the number of road accidents and fatalities. The development of strain index is based on the six risk factors associated with driving fatigue; muscle activity, heart rate, hand grip pressure force, seat pressure distribution, whole‐body vibration, and driving duration. The data are collected for all the risk factors, and consequently the three conditions or risk levels are defined as ‘safe’, ‘slightly unsafe’, and ‘unsafe’. A membership function is defined for each fuzzy condition. IF‐THEN rules were used to define the input and output variables, which correspond to physical measures. This index is a reliable advisory tool for providing analysis and solutions to driving fatigue problem, which constitutes the first effort toward the minimization of road accidents and fatalities. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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