The risk assessment on the security of industrial internet infrastructure under intelligent convergence with the case of G.E.'s intellectual transformation

<abstract> <p>The industrial internet depends on the development of cloud computing, artificial intelligence, and big data analysis. Intelligent fusion is dependent on the architecture and security features of the industrial internet. Firstly, the paper studies the infrastructure mode that needs to be solved urgently in the industrial internet and provides a possible infrastructure mode and related security evaluation system. Secondly, it analyses the digital transformation process with the case of G.E.os industrial nternet development practice. It clarifies that G.E. is forming a new value closed-loop through digital and strategy mixed channels. Thirdly, industrial internet security research is described within multiple viewpoints based on industrial internet applications, the security service and security assurance defense systemos architecture, and the non-user entrance probability model. Finally, the paper illustrates the changes in knowledge workflow and social collaboration caused by the industrial internet under intelligent manufacture.</p> </abstract>

Making Sense of Multi-Actor Social Collaboration in Building Information Modelling Level 2 Projects: A Case in Malaysia

Despite the diversity of thinking among the scholars on building information modelling (BIM) collaboration, there is a paucity of studies that capture the dimension of social collaboration in BIM projects. This study attempts to develop a comprehensive understanding on the key attributes of multi-actor social collaboration in BIM projects through the experience of practitioners in BIM-Level 2 construction project. The success of multi-actor social collaboration has been investigated through structured interviews with 22 BIM practitioners in a BIM-Level 2 project based on an established theoretical framework of social collaboration. The findings indicted that relationship-oriented attributes; relational contracts BIM execution plan; guideline, standard and work process manual approaches; employer information requirement (EIR); understanding roles and leadership; commitment from top management; resources; training, team building workshop and awareness program; coordination; and understanding on the theoretical knowledge of BIM are of importance towards multi-actor social BIM collaboration. This study acknowledges that the success of multi-actor social collaboration was influenced by the consolidation of many attributes, and it extends the dominant relationship between related attributes for multi-actor social collaboration based on the "best practice approach", which includes dominant-centric attributes (i.e., behaviour formation, procurement model and support principles). This research contributes to the body of BIM knowledge in the construction domain by focusing on what it takes to achieve greater social collaboration in BIM Level 2 projects.

High Pulse: Exploring the Exhibit Features of a Collaborative, Whole-Body Exhibition for Experiential Learning in Science Centers

This research work explored how collaborative, whole-body exhibits affect science learning in informal out-of-school settings. Specifically, the study investigated how exhibit features guided visitors to engage actively in experiential exploration of the exhibition topics, and how these exhibit features guided visitors to make sense of the interaction and transform experiences into knowledge. The study took place at a science center in Denmark. The context was the PULSE exhibition consisting of eight individual exhibits that aimed at facilitating discussions on the importance of bodily activities for physical and social well-being. Together the exhibits formed the traditional parts of a family home and core family activities, for example, a kitchen for cooking. Each exhibit was built on experiencing through physical activity and revolved around one or several biological phenomena, for example, balance, coordination, and suppleness. All exhibits were designed for group interactions. The study explored the visitors’ experiences with the exhibition using data from walking interviews with 34 visitor groups comprising a total of 108 visitors. Each exhibit was composed of a set of exhibit features, and the study analyzed how these features supported the experiential learning. The findings showed that the whole-body activities and group collaborations formed the greatest motivation to participate in the exhibition and, thereby, explore the themes of the exhibition. As regard the visitors’ learning, most groups expressed the joy of physical movement, group work, and need of strategy planning to carry out the activities in their conversations, whereas only a few groups seemed to perceive and reflect on the biological phenomena presented. Due to the physically demanding activities and the required social collaboration, the visitors were not able to engage in in-depth explorations of the exhibition’s scientific themes. In some exhibits where scientific information was incorporated naturally in the activity through interactive videos, the visitors talked about the themes as a natural part of the activity. Altogether, the findings have been used to outline a set of design principles for collaborative whole-body exhibits.

Collaboration to improve cross-race face recognition: Wisdom of the multi-racial crowd?

Collaborative "wisdom-of-crowds" decision making improves face identification accuracy over individuals working alone. We examined whether collaboration improves both own- and other-race face identification. In Experiment 1, participants completed an online face-identification task on their own and with a same-race partner (East Asian dyads, N = 27; Caucasian dyad, N = 31). Collaborative decisions were completed as part of a social dyad (completing the task together) and a non-social dyad (individual scores fused independently). Social and non-social collaboration improved own- and other-race face identification accuracy equally. In Experiment 2, we examined the impact of racial diversity on collaboration for different-race dyads (N = 25), East Asian same-race dyads (N = 25), and Caucasian same-race dyads (N = 28). Performance improved equivalently for same- and different-race dyads. Collaboration can be a valuable tool for improving own- and other-race face identification in social and non-social settings.

Social Innovation Model Based on Collaboration Between Government and NGOs in Covid-19 Crisis: Evidence from Iran

Background: Timely information and risk assessment in crises, can save people’s lives at risk in emergencies, providing effective, prompt, and coordinated interventions. In this context, the best and most effective way to attract social collaboration is through the combination of different ideas and forms of cooperation and creating a new approach to a social issue called social innovation. The present study seeks to identify the dimensions of social innovation based on the collaboration between government and NGOs in crises.Methods: This study is applied research in terms of purpose and qualitative research in terms of method, in which the Grounded Theory strategy has been used. The statistical population of the study is health experts from the Ministry of Health and Medical Education of Iran. Exploratory analysis and MAXQDA 2020 software were used to identify the components of the model. By selecting and reviewing 68 research in-depth, the initial framework was prepared. Then, through a semi-structured interview with experts, the framework was adapted and reviewed.Results: Based on the analysis of the collected data, 39 open codes were extracted and the components of the social innovation model are identified as follows: the effectiveness of NGOs collaboration, as axial phenomenon; investment, to attract NGOs collaboration, as casual conditions; ability to manage the implementation of the social innovation plan and ability to network, as strategies; ability to policymaking overall social innovation plan and providing the necessary cultural and educational infrastructure, as contextual conditions; the existence of capable legal organizations to solve the executive problems of the plan and facilitate coordination, as intervening conditions and controlling, containing and reducing the effects of the crisis, as consequences.Conclusion: The research results, give policymakers a model for social innovation by involving NGOs, especially in times of crisis. Also, they can be used in government planning for social development.

Understanding Collaborative Journalism with Digital Trace Data and Crowdsourced Databases

This study represents a unique opportunity to study aspects of human behavior related to journalism projects collaboration at scale. Collaborative journalism deserves further inquiry in light of its growing importance, the resources devoted to it, and its role in creating more opportunities for news media in the face of economic and technological challenges. It theorizes how journalism collaborative/interest groups were created, maintained, and sustained. Methodologically, this study attempts to mine GitHub’s API to identify influential individuals and discover the network patterns of social collaboration in newsrooms’ repositories.

Designing playful employee experience through serious play–reflections from pre-pandemic corporate learning events in Poland

PurposeIn times of organizational thirst for employee engagement and meaning through designing corporate stories, the aim of this article is to explore and identify key sources (engines) of engagement during LEGO® SERIOUS PLAY® (LSP) corporate learning pre-pandemic events of various types and size in Poland.Design/methodology/approachThis is a conceptual paper. The research was conducted using participant observation from the perspective of a certified facilitator of the method. This position ensures a prime access to the organizational events. Eight training sessions (four LSP and four non-LSP workshops) have been analysed using thematic analysis. The structure of thematic codes has been conceptualized and reflected as the EPIC framework.FindingsThe findings include (1) the importance of the experience of emerging realities as a key generator of engagement, (2) the significance of social collaboration and peer-to-peer interactions (experience of collective intelligence), (3) the observable rise in engagement and willingness to contribute when real business situations, especially labelled as “strategic issues” are discussed and (4) the role of image-capturing (“snapshot experience”) in creation of an engaging learning experience.Research limitations/implicationsThe limitations refer to the potential conflict of interests as the researcher is also the facilitator of the workshop. To ensure the neutral point of view of the researcher, the sessions have been recorded to enable transparency of the observation and non-biased logic of key findings. The “learning experience” research is also culture- and context-sensitive, thus it may be problematic to replicate the research procedure in different countries, however, the EPIC model can be treated as a universal framework to explore and identify the engines of engagement.Practical implicationsThe concept of this paper is designed from the practical point of view. The findings are adaptable to the corporate practices aimed at empowering employees and are compatible with management models such as agile, human enablement and human-centred design in organizations.Social implicationsSerious play methods of learning and experiencing are said to be of the highest importance when finding new ways of organizational learning in the pandemic situation and work from home as a standard learning environment.Originality/valueThe contribution of this paper is visible in the conceptualization of the moments that shape an engaging experience. This is also the first academic paper presenting the perspective of a certified facilitator of LSP from Central and Eastern Europe region.