PSS Design Considering Feedback from the Entire Product-service Lifecycle and Social Media

Abstract

In the globally competitive market landscape, companies, in order to remain sustainable, must shift their focus towards constantly improving their PSS offerings by incorporating lean thinking approaches. PSS are complex, dynamic, and multi-dimensional systems, which are supported by appropriate infrastructure and networks. At the same time, PSS require robust engineering methods and tools for their design, which allow multi-dimensional exchange of knowledge between the designers and the relevant stakeholders across the value chain. Currently, enabling technologies such as Cloud technology, social media and networking, knowledge management, and context sensitivity present new possibilities to enhance the knowledge exchange and the collaborative process of PSS design. These technologies allow the gathering and analysis of big volumes of data from scattered heterogeneous IT systems and, at the same time, allow PSS design improvements by processing the experiences of the business customers, consumers, designers, shop-floor, and provide feedback to the design phase. However, a number of challenges are encountered during the gathering, visualization, monitoring, and assessment of related data, such as the lack of context sensitivity. Simultaneously, PSS evaluation approaches are still immature and there is limited work that correlates the impact of the entire PSS lifecycle with the performance assessment of the PSS design. The present work includes a review of the aforementioned technologies from academic, market, and industrial perspectives. Based on an extensive literature review and on constructive discussions with three European SMEs, several barriers and limitations of adopting the aforementioned technologies in practice are identified. Finally, a conceptual eco-innovative framework for lean PSS design is presented, explaining how these technologies could be combined for the improvements of PSS design and evaluation procedures

Effect of social trust on health information exchange in social network sites

“…The preliminary literature scan revealed the following keywords: 'SNS', 'social trust', 'health information', 'social capital' and 'social media'. 'Social capital' and 'social media' were included in the list of keywords because social trust is a construct for social capital, whereas SNSs are referred to as social media in some of the studies (Dunne, McIntosh & Mallory 2014;Mourtzis et al 2016;Tang et al 2019;Turner 2016).…”

A Generic Graph-Based Method for Flexible Aspect-Opinion Analysis of Complex Product Customer Feedback

“…Social media platforms have also served as a data source for sentiment analysis for product design improvements. Sentiment analysis has been influential in the analysis of feedback for the design of Product Service Systems (PSS) [42,43]. Ref.…”

Guest editorial

“…Companies and organizations face, as stated by Lykketoft (2016), large and fundamental changes in their way of operating if we are to meet the goals of 2030. However, research shows that many organizations lack expertize (Malá et al , 2017; Mourtzis et al , 2016), resources (Zhou et al , 2015; Ghadge et al , 2017), managerial competences (Auer and Jarmai, 2017; Neto et al , 2017; Chassé and Boiral, 2017), awareness of sustainability issues (Tsalis et al , 2013; Johnson and Schaltegger, 2016) and suffer from a weak organizational structure (Ghazilla et al , 2015; Lewis et al , 2015). Thus, for many organizations, sustainable development requires a reconfiguration of the internal setup, their modes of production and their mindset (values and believes), as the old and well-known ways of operating is no longer adequate.…”