Improving root cause analysis through the integration of PLM systems with cross supply chain maintenance data

The purpose of this paper is to demonstrate a system architecture for integrating Product Lifecycle Management (PLM) systems with cross supply chain maintenance information to support root-cause analysis. By integrating product-data from PLM systems with warranty claims, vehicle diagnostics and technical publications, engineers were able to improve the root-cause analysis and close the information gaps. Data collection was achieved via in-depth semi-structured interviews and workshops with experts from the automotive sector. Unified Modelling Language (UML) diagrams were used to design the system architecture proposed. A user scenario is also presented to demonstrate the functionality of the system

You are now an Influencer! Measuring CEO Reputation in Social Media

We know that reputation in organisational contexts can be understood as a valuable asset that requires diligent management. It directly affects how a firm is publicly perceived, and indirectly, how a firm will perform economically. The establishment of social media as ubiquitous tools of communication have changed how corporations manage their reputation. Particularly CEOs face novel responsibilities, as they deal with their personal image, which at the same time affects the reputation of their firm. Whereas CEO and corporate reputation have been researched isolated from each other, little is known about how a CEO’s social media reputation management affects corporate reputation. This research in progress paper aims to emphasise this research gap with a literature review on the current status of reputation management and measurement by means of social media. We further propose a research design that combines sentiment analysis, frequency detection, and content analysis and discuss further research prospects

Creative Business in Australia Learnings from the Creative Industries Innovation Centre, 2009 To 2015

As the largest ever Australian government investment in creative industries development, the Creative Industries Innovation Centre delivered tailored business services to more than 1500 creative businesses from 2009 to 2015 and provided industry intelligence and advice for public policy and peak sectoral activity. This collection gives an overview of the current ‘state of business’ in Australia’s creative industries – both as an industry sector in its own right and as an enabling sector and skills set for other industries – and reflects on business needs, creative industries policy and support services for the sector. With contributions from the Centre’s team of senior business advisers and from leading Australian researchers who worked closely with the Centre –including experts on design-led innovation and the creative economy – and case studies of leading Australia creative businesses, the book is intended as and industry-relevant contribution to business development and public policy

Credibility by automation : Expectations of future knowledge production in social media analytics

Social media analytics is a burgeoning new field associated with high promises of societal relevance and business value but also methodological and practical problems. In this article, we build on the sociology of expectations literature and research on expertise in the interaction between humans and machines to examine how analysts and clients make their expectations about social media analytics credible in the face of recognized problems. To investigate how this happens in different contexts, we draw on thematic interviews with 10 social media analytics and client companies. In our material, social media analytics appears as a field facing both hopes and skepticism—toward data, analysis methods, or the users of analytics—from both the clients and analysts. In this setting, the idea of automated analysis through algorithmic methods emerges as a central notion that lends credibility to expectations about social media analytics. Automation is thought to, first, extend and make expert interpretation of messy social media data more rigorous; second, eliminate subjective judgments from measurement on social media; and third, allow for coordination of knowledge management inside organizations. Thus, ideas of automation importantly work to uphold the expectations of the value of analytics. Simultaneously, they shape what kinds of expertise, tools, and practices come to be involved in the future of analytics as knowledge production.Peer reviewe

Big Data and Social Media Analytics: A Key to Understanding Human Nature

Big Data and Social Media have transformed knowledge and comprehension in this age of technological advancement. Corporate leaders and professionals in several industries have focused on Big Data, a large collection of data from multiple sources. Meanwhile, social media networks' fast data growth has been lauded as a way to comprehend human behaviours. This study paper examines the critical need to extract intelligent information from the large volume, wide variety, and quick pace of data to meet modern corporate needs. Using specialized tools and procedures for large-scale dataset analysis and effective data management structures are crucial in this context. Big Data and Social Media Analytics offer new insights into human behaviour. This study analyzes how these two fields may work together to create new management strategies. We show that Big Data and Social Media Analytics may provide unmatched opportunities for understanding human behaviour through practical examples and case studies. This integration helps organizations navigate a rapidly changing global market by assessing client preferences, anticipating industry trends, and understanding societal shifts. This study emphasizes the need of using modern technical driving elements to better understand human nature. Integration of several data sources provides insights that give a competitive edge and aid decision-making across sectors. This article examines Big Data and Social Media Analytics, which improves management tactics and deepens understanding of the complex network of human activities and attitudes