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This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors.

This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution.

The results point to a lack of knowledge on the part of teachers regarding data security in the platforming scenario, as well as the lack of effectiveness of institutions in protecting student data.

Within the Brazilian scenario, this research seeks to contribute to the discussion on platformization in view of the gaps and existing demands on this process in the country.

The purpose of this study is to explore the relationship between Lean manufacturing and Industry 4.0 for small and medium size of enterprise in Japan and Brazil.

The authors conducted a quantitative survey (20 companies in Japan and 30 companies in Brazil) combined with a qualitative interview (2 companies in Japan and 15 companies in Brazil).

According to the quantitative study, 90% of them practice Lean manufacturing and 40% of them practice Industry 4.0. In the qualitative study in Brazil, four managers responded that the Lean manufacturing is a prerequisite for Industry 4.0 since any production process with waste cannot be productive, even with sophisticated digitalization technology.

The authors explored further the relationship between “defensive Digital Transformation (DX),” which is based mainly on Lean manufacturing, and “offensive DX,” which relates to customer value creation through Industry 4.0. This study clarifies the relationship and plays as a roadmap to develop better the manufacturing from current status to the vision of Industry 4.0.

Company goals, behaviors and decision-making processes may differ depending on whether a given company decides to engage in the Industry 4.0 (I4.0) paradigm as a user or as a provider of I4.0-based solutions. This paper will consider this question in-depth by focusing on the extent to which the innovation ecosystem (IES) affects these two main strategies.

The authors' study aims to analyze the impact of a regional information and communication technology (ICT) ecosystem on the implementation of I4.0 at the company level by using an original survey of 123 companies that are already engaged in the implementation of I4.0 in the French region of Hauts-de-France and by employing two sets of logit models.

The authors' empirical study demonstrates the importance of an innovation ecosystem-based strategy for I4.0 technology provision. It reveals that engaging in R&D collaborative projects and developing links and complex relationships with heterogeneous actors within the IES positively affects the likelihood of a given firm deciding to implement I4.0 as a provider of I4.0-based solutions. This does not, however, affect the probability of a firm engaging in the I4.0 paradigm as a user of technologies and solutions.

From a policy standpoint, this study could encourage decision-makers to engage with I4.0 development by developing policies targeting the reinforcement of IES at a regional level. This could also help to accelerate the adoption of I4.0 technologies by manufacturing companies and foster the development of I4.0-based solutions through specific company-targeted policies. The authors' study supports the need for manufacturing company managers to evaluate and identify the best technological strategies related to the I4.0 paradigm that meet their specific needs.

The authors' study shows that the decision to engage in the I4.0 paradigm as providers of I4.0-based solutions is more likely to rely on an innovation ecosystem-based strategy, while the decision to engage in the I4.0 paradigm as users of I4.0-based solutions is more likely to rely on the company’s internal strategies, resources and demand-side benefits.

The purpose of this study is to situate information and communications technology (ICT) “transparency reports” within the theoretical framework of corporate social responsibility (CSR) reporting. The self-denominated transparency report serves a dual purpose of highlighting an ICT company’s socially responsible behavior while also holding government agencies accountable for surveillance and requests for user data. Drawing on legitimacy theory, neo-institutional theory and stakeholder theory, this exploratory study examines how ICT companies are implementing industry-specific voluntary disclosures as a form of CSR.

A content analysis of ICT voluntary nonfinancial reporting (N = 88) was used to identify motivating principles, the company positioning to stakeholders, the relevant publics and intended audience of these disclosures and the communication strategy used to engage primary stakeholders.

Key findings suggest that most ICT companies used transparency reporting to engage consumers/users as their primary stakeholders and most used a stakeholder information strategy. A majority of ICT companies signaled value-driven motives in their transparency reports while also positioning the company to stakeholders as a protector of user data and advocate for consumer rights.

This study enriches the literature on CSR communication strategies and reporting practices by extending it to an underdeveloped topic of study: novel voluntary disclosures as CSR activities of prominent ICT companies (i.e. “Big Tech”). These polyphonic reports reflect varied motives, varied positioning and varied stakeholders. For market-leading companies, transparency reporting can serve to legitimize existing market power. And for midsize and emerging companies, transparency reporting can be used to signal adherence to industry norms – set by market-leading companies.

Industry 4.0 is driving an incremental shift in paradigms for the construction industry. Current research in the built environment is limited to exploring the exponential technological prowess of Industry 4.0 with very little work on its implications to the construction business model, strategy and competitive advantage. There arises a challenge for researchers to understand how appropriate technologies can be assembled to assist in achieving the goals of construction businesses. The overarching aim of this research is to develop a construction Business Model Transformation Canvas (BMTC) to map the transformation of construction enterprises in Industry 4.0.

The research was carried out by conducting an expert forum with academics from nine universities across Australia and New Zealand. The study employed purposive sampling, and the academics were selected in a strategic manner in order to provide data that are relevant to the research.

The research identifies that technology-based partnerships supporting strategy and capability building, platforms enabling enterprises to conceive, design, manufacture and assemble buildings and competition with stakeholders having superior capabilities not in building but in other areas of business are fundamental to Industry 4.0 transformation.

The results present state-of-the-art development of business model research in construction that intends to support the strategic planning of construction enterprises in Industry 4.0. This research is the first and only research that uses a business model canvas (BMC) for strategy-reformulation in incumbent construction enterprises to maintain a competitive advantage in Industry 4.0. Merits of the construction BMTC lie in its holistic approach, visual representation and simplicity.

This paper aims to clarify the notion of artificial intelligence (AI), reviewing the present scope of the phenomenon through its main applications. It aims at describing the various applications while assessing the markets, highlighting some of the leading industrial sectors in the field. Therefore, it identifies pioneering companies and the geographical distribution of AI companies.

The paper builds upon an in-depth investigation of public initiatives focusing mostly on the EU. It is based on desk research, a comprehensive review of the main grey and scientific literature in this field.

The paper notes that there is no real consensus on any definition for this umbrella term, that the definition does fluctuate over time but highlights some of the main changes and advances that took place over the past 60 years. It stresses that, in spite of the hype, on both the business and consumer sides, the demand appears uncertain. The scope of the announced disruptions is not easy to assess, technological innovation associated with AI may be modest or take some time to be fully deployed. However, some companies and regions are leading already in the field.

The paper, based on desk research, does not consider any expert opinions. Besides, the scientific literature on the phenomenon is still scarce (but not the technical one in the specific research sectors of AI). Most of the data come from consultancies or government publications which may introduce some bias, although the paper gathered various, often conflicting viewpoints.

The paper gives a thorough review of the available literature (consultancies, governments) stressing the limitations of the available research on economic and social aspects. It aims at providing a comprehensive overview of the major trends in the field. It gives a global overview of companies and regions.

This paper aims to shed some light on the history of the Chinese videogames industry, to document the growth of the leading companies and reveal how they have been morphing into platforms delivering constellations of apps and digital content (audiovisual, films, music, literature, video streaming […]). The paper tracks the development of digital services through the prism of videogames thereby showing how this industry emerged out of the deployment of the internet.

The paper provides an overview and a synthesis of what is known about the Chinese game industry, particularly based on consultancy documents and publications from firms. The paper is based on desk research, a review of literature and trade press and the analysis of the annual reports of the leading players (NetEase, Tencent […]).

The rise of videogames and the creation of specific company’s “ecosystems” illustrate the capacity of the industry to innovate and its significance for the Chinese economy. It reveals that gaming has been a cornerstone of many Chinese technology companies. The (young) companies came up with the innovative business models (FTP, virtual items) that were required to further expand the market. They found new ways to interact with their customers through communities and various tools.

The paper relies on consultancy documents and publications from firms on heterogeneous data from industry and consultants. This approach comes with some limitations from a methodological viewpoint. It allows documenting the historical trends and describing the industrial landscape but not to qualify the relationships among players. Besides, the use of these sources leads to a greater focus on business models and a more limited one on the policy dimension. The latter is often perceived only through the glasses of the companies.

The data provided are meant to be useful to become familiar with the Chinese games industry.

The paper indicates that the online game industry is a complex web of activities with tensions and contradictions between stakeholders (industry, government and consumers). In the case of China, there is a conflict between the willingness to liberalize the economy and the will to maintain an ideological monopoly through cultural industries.

Little research has been devoted to the role of videogames in emerging economies, to its specific features and to the relationships with the media industry and the information and communications technology sector. The contribution of this “digital native” to the production and distribution of digital content remains less studied. The paper provides an up-to-date overview of the Chinese case.

Although crowd logistics (CL) is a promising digital solution, its future development remains uncertain. This paper aims to suggest multiple possible futures of CL in terms of business relationships and value co-creation between manufacturers and digital platforms.

This paper offers a systemic and multistakeholder approach related to the field of strategic foresight, based on the scenario method. The scenarios construction involved 22 participants (practitioners, academic researchers and foresight experts).

Four scenarios emerged from the strategic foresight study. For each scenario, the configuration, diffusion and coordination of CL – as well as the balance of power between manufacturers, digital platforms and customers – are specified.

The foresight analysis reveals not one certain future, but multiple potential business configurations and research avenues related to the development of CL.

The adopted multistakeholders perspective, including macro factors, regarding CL allows business-to-business (B2B) managers to rethink its potential. Managers can use the scenarios to consider multiple types of coordination with digital platforms and its implication for value co-creation.

This paper provides insights into social changes that may constitute drivers and consequences of the development of CL and identifies two forms of coupling that may drive the development of CL: regulation–social transformation and technology–environment.

This research contributes to IMP research on B2B relationships in digital contexts, by showing that CL presents an opportunity for the co-creation of distribution value in a B2B environment.

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.

This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.

AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.

AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.

This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.