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This chapter explains how cocreation can be supported by establishing platforms, which provide knowledge, resources, and opportunities for local actors to come together in cocreation arenas. Platforms make it easy for local actors to connect, interact, and engage in productive joint activity. The chapter provides an overview of different types of platforms and describes their distinctive organizing logic, which includes mediating the relationship between different stakeholders, scaffolding their joint action, and leveraging their capacity for change. The chapter identifies important platform dynamics, such as attractor and amplifier effects, synergy, scaling, and social learning, that enable them to successfully support cocreation. Finally, the chapter discusses how platforms themselves can be designed to enhance these dynamics.

The purpose of this paper is to understand how Open Innovation Digital Platforms (OIDPs) can facilitate and support knowledge co-creation in Open Innovation (OI) processes. Specifically, it intends to investigate the contribution of OIDPs-oriented to successfully implement all the phases of interactive coupled OI processes.

The paper carries out an exploratory qualitative analysis, adopting the single case study method. The case here investigated is Open Innovation Platform Regione Lombardia (OIPRL).

The case study sheds light on how OIPRL supports knowledge co-creation through its processes, tools and services as a co-creator intermediary. In its launch stage, the platform simply aimed at giving firms a tool to “find partners” and financial resources to achieve innovative projects. Now, however, the platform has developed into an engagement platform for knowledge co-creation.

One limitation lies in the particular perspective used to perform the case study: the perspective of the digital platform itself. Future research should focus on the individuals engaged in the platform to better investigate the processes, tools and services used to implement the OI approach.

The paper suggests ways in which OIDPs could be used by firms for effective exploration, acquisition, integration and development of valuable knowledge.

The study conceptualizes the role of OIDPs in shaping knowledge co-creation, assuming that the platforms act as Open Innovation Intermediaries (OIIs). Specifically, OIDPs can be observed to function as “co-creator intermediaries” that define, develop and implement dedicated processes, specific tools and appropriate services for supporting knowledge co-creation activities.

Extends the concept of e‐service to the whole phase of manufacturing. Develops an e‐service platform prototype based on this concept with Java Web solution including the mobile agent broking technologies and application service provider (ASP) principle. The key point to implement the platform is to enable an open Web information service infrastructure for the whole product manufacturing chain. Inside this infrastructure, product‐specific online manufacturing system can be created by means of using a kind of bidding model. All users participating in the manufacturing process are able to cooperatively finish manufacturing tasks in real time through sharing the same platform. With the help of BOM flow, the global information service flow can be controlled easily. In addition, the legacy hardware/software can also be encapsulated with aglets that are Java mobile agents. As to new ASP software packages, they can be configured simply via the plug and play mode to the e‐service platform. In this way, the on‐line networked manufacturing can be tested.

The nonconsensual taking or sharing of nude or sexual images, also known as “image-based sexual abuse,” is a major social and legal problem in the digital age. In this chapter, we examine the problem of image-based sexual abuse in the context of digital platform governance. Specifically, we focus on two key governance issues: first, the governance of platforms, including the regulatory frameworks that apply to technology companies; and second, the governance by platforms, focusing on their policies, tools, and practices for responding to image-based sexual abuse. After analyzing the policies and practices of a range of digital platforms, we identify four overarching shortcomings: (1) inconsistent, reductionist, and ambiguous language; (2) a stark gap between the policy and practice of content regulation, including transparency deficits; (3) imperfect technology for detecting abuse; and (4) the responsibilization of users to report and prevent abuse. Drawing on a model of corporate social responsibility (CSR), we argue that until platforms better address these problems, they risk failing victim-survivors of image-based sexual abuse and are implicated in the perpetration of such abuse. We conclude by calling for reasonable and proportionate state-based regulation that can help to better align governance by platforms with CSR-initiatives.

The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.

The development of the model is based on a combination of participatory action research and user-centered design (UCD) methodologies, seeking to ensure that the platform is user-oriented and based on the experiences of the authors. The model itself is structured around the active and transformational learning (ATL) framework.

This study highlights the importance of addressing 4IR megatrends in education to prepare students for a technology-driven world. The proposed model, based on ATL and supported by AI, integrates essential competencies for tackling challenges and generating innovative solutions. The integration of AI into the platform fosters personalized learning, collaboration and reflection and enhances creativity by offering new insights and tools, whereas UCD ensures alignment with user needs and expectations.

This research presents an innovative educational model that combines ATL with AI to foster complex thinking and co-creation of solutions to problems related to 4IR megatrends. Integrating ATL ensures engagement with real-world problems and critical thinking while AI provides personalized content, tutoring, data analysis and creative support. The collaborative platform encourages diverse perspectives and collective intelligence, benefiting other researchers to better conceive learner-centered platforms promoting 21st-century skills and co-creation.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

The purpose of this paper is to illustrate the implementation of a web‐based platform integrating benchmarking and data envelopment analysis (DEA) for the Portuguese secondary schools.

The benchmarking platform is designed around a set of key performance indicators that are displayed using benchmarking graphs. These indicators are also aggregated through the methodology of DEA to provide a summary measure of performance.

The benchmarking platform developed enables schools to perform internal and external evaluation through a standard model that is based on indicators of school activities. It encourages schools' efforts of continuous improvement and increases society awareness regarding schools' context and results obtained.

The benchmarking platform can be useful for schools and general public. For the general public, there is a tool that allows the construction of user‐defined rankings online and benchmarking tools that allow the comparison of performance of a specific school with others. In addition to these features, schools have in the BESP platform a repository of historical data, and the possibility to see a set of graphs that show for some indicators their evolution over time.

This paper describes a breakthrough in the Portuguese education context. The BESP platform is the first in this context to combine DEA and benchmarking tools in a web‐based environment, designed to enable real‐time performance assessments.

The purpose of this paper is to assess the cloud computing (CC) methods and tools towards the achievement of construction project sustainability in Nigeria.

Data were obtained from the literature, complemented by a quantitative method using a questionnaire distributed among 104 respondents comprising mainly construction professionals in Nigeria. Subsequently, data were analysed using the exploratory factor analysis (EFA) method. In addition, the partial least square structural modelling was used to generate a model for the adoption of CC tools for sustainable construction.

EFA results indicated that the CC implementation tools could be categorised into four significant constructs: platform, communication, software and data storage. Results obtained from the model showed that platform tools were the most crucial tools for implementing CC in the construction industry.

The findings from this study are essential to the pursuit of perception of methods and tools connected to the vagueness of CC for future employees. In addition, the identified CC tools are expected to enhance the success of construction projects.

The novelty of this research work will be a benchmark or board for decision-makers to quality by adopting CC methods and tools in Nigeria’s construction projects to achieve their sustainable projects.

Prudential Equity Group had downgraded Danaher to underweight status, citing concerns over its inadequate organic growth. By March 2009, its CEO wondered how to keep growing a company that faced changing worldwide economic circumstances, pressure from low-cost competitors, new competitors, flat or declining demand for company products, price increases for certain raw materials, and criticism from market analysts.

Current virtual simulation platforms provide various tools to generate non-immersive simulation processes purposefully in different domains. The generated simulation processes are adopted for analysis, presentation, demonstration and verification. In the virtual maintenance domain, this intuitive and visual method has benefitted product maintainability design and improvement. Generating an ideal and reasonable non-immersive virtual maintenance simulation is always time-consuming because of the complicated human operations and logical relationships involved. This study aims to propose a semiautomatic approach to increase efficiency in non-immersive virtual maintenance simulation implementation.

The methodology analyzes the general catalogs of common maintenance tasks and explores the corresponding secondary development approaches of simulation tools that can achieve motion simulation in virtual environments, by focusing on the diversity, complexity and uncertainty in non-immersive virtual simulation process generation. Afterward, a single virtual human motion can be generated by controlling the parameters and indices of the simulation tools. Subsequently, all of the generated single motions are connected logically to simulate the entire maintenance process.

Instead of selecting various tools, such as that in a traditional method, the proposed methodology analyzes and integrates the necessary basic parameters considering the characteristics of virtual maintenance simulation for a target maintenance activity.

The user can control the predefined parameters to generate the simulation combining several other simple operations in virtual environments. Consequently, the methodology decreases simulation tool selection and logic consideration and increases efficiency to a certain extent in non-immersive virtual maintenance simulation generation.