No abstract

No abstract

PurposeThe authors investigate household acceptance of central bank digital currencies (CBDCs) by drawing on the unified theory of acceptance and use of technology and institutional trust theory.Design/methodology/approachThe authors build a research model including six hypotheses and quantitatively analyze it using partial least squares structural equation modeling (PLS-SEM) and importance–performance map analysis (IPMA) based on 282 answers to a survey questionnaire.FindingsThe continuous adoption of CBDCs by households is highly probable and is fostered by its expected high performance, the social recommendations and the existence of facilitating conditions. Nevertheless, institutions' efforts to propose a flexible and understandable currency can benefit its adoption only if these institutions also strive to build households' trust in the currency's system.Originality/valueThe authors provide a full review of the emerging literature on CBDCs and suggest that digital currency offerings can be divided into centralized, semi-centralized and de-centralized control in a meaningful taxonomy. The authors also complement extant studies on CBDCs that mostly apprehend its operational challenges by focusing on the customer side and provide implications to the launching of CBDCs by uncovering the customer-specific determinants of their adoption.

PurposeWe investigate the impact of Absorptive Capacity (ACAP) for SMEs embedded in Collaborative Networks (CNs) on innovation performance, considering the network stages and the influence of partnership quality.Design/methodology/approachWe use a mixed methodology consisting of a qualitative than a quantitative phase. The first stage relies on an in-depth literature review and 22 interviews with 17 manufacturing SMEs having operated in collaborative innovation projects to characterize the potential and realized ACAP of such SMEs in the creation and operation stages of a CN. The second phase aims at testing four hypotheses through a hierarchical regression based on 74 responses to a survey involving SMEs with prior CN experience.FindingsOur results explain how an SME’s ACAP in the creation stage affects its ACAP in the operation stage. We also demonstrate that this latter capability contributes positively to innovation performance in the CN. Furthermore, partnership quality was found to have counterproductive effects regarding potential ACAP.Practical implicationsWe provide manufacturing SMEs with guidance to deploy ACAP throughout their collaborative experience and overcome the potential pitfalls of good partnership quality.Originality/valueWe operationalize ACAP of manufacturing SMEs to contribute to mutual innovation goals in CNs and uncover its properties. We explain how this dynamic capability accumulates over the CN stages to result in higher innovation performance and show how it helps in striking a balance between the “dark” and “virtuous” sides of partnership quality.

Through collaborative innovation networks (CINs), SMEs access valuable knowledge which requires the deployment of their absorptive capacity (ACAP) to be efficiently used. A small and medium enterprise (SME) absorbs this knowledge to fulfil reciprocal learning for achieving the network innovation goal, but also one-way learning to individually improve its performance. Nevertheless, no study explains how these opposing learnings unfold for SMEs in CINs to guide their ACAP deployment. Based on three cases of CINs including SMEs and two focus groups, we propose a characterisation of ACAP supporting SMEs’ learnings within CINs. As a result, an SME deploys acquisition, assimilation and application actions and attitudes to contribute to the CIN’s setting-up and operational stages, while fulfilling one-way learning. These practices have different focuses and intensity according to the network stage and the SME’s contextual setting. Hence, this study highlights the peculiarities of ACAP that enable SMEs in CINs manage the interplay between reciprocal and one-way learnings.

Digital servitization enables SMEs to propose smart Product-Service Systems (PSS) integrating products and services. Limited discussion of this contemporary and challenging phenomena stimulated our in-depth literature review, which identified four key themes common to both barriers and opportunities: digital strategy, ecosystem network, internal and operational organization, and human capabilities. Industry expert focus group enabled enriching and refining these themes across smart PSS business models. Digital servitization was found to mostly benefit the SME’s digital strategy and ecosystem network and is hindered by insufficient human capabilities and underdeveloped ecosystem networks. Opportunities and barriers vary as the smart PSS business model evolves.

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.

With the advent of Industry 4.0, Blockchain is attracting Supply Chain (SC) practitioners and researchers thanks to its decentralized and trustworthy data governance features. As Blockchain adoption in SC is nascent, this article provides a Systematic Literature Review of the critical success factors for this phenomenon to help organizations meet its challenges. 56 selected articles were first thematically analyzed with NVivo to identify and conceptually categorize the factors. Then, we performed a social network analysis under VOSviewer to understand the research trends in our topic and explain the implicit ties between the identified factors. Finally, we inferred further theoretical implications of the analyzed literature in light of the ‘Technology, Organization, Environment’ framework. Hence, this study contributes to academic and practical knowledge by explaining the natures of the interdependent factors for Blockchain adoption in SC and of their potential links. We also propose opportunities for future research to extend our findings.