82
C. A. González Chávez et al.
6.5.2.4 New Services
New service development was repeatedly discussed as a consequence of the usage
of big data (Paschou et al. 2018). Some authors (Marini and Bianchini 2016; Ostrom
et al. 2015; Lim et al. 2018) argue that big data impacts on manufacturing competitiveness not only by uncovering opportunities for new service offerings but also
by capturing and analysing service-related information for effective and real-time
decision making.
6.5.2.5 Lifecycle Visibility
The integration of data and information is a major enabler for the visualization of
the materials cycle which can allow capturing sustainable value (Antikainen et al.
2018).
Several studies (Ardolino et al. 2016; Bressanelli et al. 2019; Pagoropoulos et al.
2017a) have studied how IoT, big data and analytics facilitate a transition towards
CE. Eight main functionalities have been identified as enabled by these technologies:
improving product design, attracting target customers, monitoring and tracking products, providing technical support, providing maintenance, optimizing the product
usage, upgrading the product, enhancing renovation and end-of-life activities. Additionally, if organizations have data feeding their sustainability-oriented decisionmaking process big data and analytics can positively support lifecycle management
advance towards CE (Bressanelli et al. 2019).
6.5.2.6 Reduced Need for External Assistance
Digital competence is defined as the ability to act in a digitized knowledge-based
society. Additionally, this concept underlines stakeholders’ capability to utilise the
advantage of symmetric information as it becomes digitally spread and collectively
provided (Süße et al. 2018). The understanding of this concept and its dimensions
helps organizations on their path towards actively developing digitally-enabled PSS
and further research is suggested in the in-depth analysis of competences within
organizations (Süße et al. 2018; Paschou et al. 2018).
Also, reference is made to how data sharing can improve supplier/customer interaction (West et al. 2018). In this way (West et al. 2018) indicates that proactive data
sharing can prepare the OEM to be ready to support with troubleshooting or provision of spare parts. This point is directly co-related to the reduced external assistance
required by the customer and increments the responsibility of the OEM over the
performance of their PSS. Augmented Reality (AR) is mentioned as a potential tool
to support guidance, diagnostics, and training (Roy et al. 2016).
C. A. González Chávez et al.
6.5.2.4 New Services
New service development was repeatedly discussed as a consequence of the usage
of big data (Paschou et al. 2018). Some authors (Marini and Bianchini 2016; Ostrom
et al. 2015; Lim et al. 2018) argue that big data impacts on manufacturing competitiveness not only by uncovering opportunities for new service offerings but also
by capturing and analysing service-related information for effective and real-time
decision making.
6.5.2.5 Lifecycle Visibility
The integration of data and information is a major enabler for the visualization of
the materials cycle which can allow capturing sustainable value (Antikainen et al.
2018).
Several studies (Ardolino et al. 2016; Bressanelli et al. 2019; Pagoropoulos et al.
2017a) have studied how IoT, big data and analytics facilitate a transition towards
CE. Eight main functionalities have been identified as enabled by these technologies:
improving product design, attracting target customers, monitoring and tracking products, providing technical support, providing maintenance, optimizing the product
usage, upgrading the product, enhancing renovation and end-of-life activities. Additionally, if organizations have data feeding their sustainability-oriented decisionmaking process big data and analytics can positively support lifecycle management
advance towards CE (Bressanelli et al. 2019).
6.5.2.6 Reduced Need for External Assistance
Digital competence is defined as the ability to act in a digitized knowledge-based
society. Additionally, this concept underlines stakeholders’ capability to utilise the
advantage of symmetric information as it becomes digitally spread and collectively
provided (Süße et al. 2018). The understanding of this concept and its dimensions
helps organizations on their path towards actively developing digitally-enabled PSS
and further research is suggested in the in-depth analysis of competences within
organizations (Süße et al. 2018; Paschou et al. 2018).
Also, reference is made to how data sharing can improve supplier/customer interaction (West et al. 2018). In this way (West et al. 2018) indicates that proactive data
sharing can prepare the OEM to be ready to support with troubleshooting or provision of spare parts. This point is directly co-related to the reduced external assistance
required by the customer and increments the responsibility of the OEM over the
performance of their PSS. Augmented Reality (AR) is mentioned as a potential tool
to support guidance, diagnostics, and training (Roy et al. 2016).