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This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.

The purpose of this paper is to present the status of the on-going development of the new computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM) and to compare results of different aerodynamic tools. The concurrent design of aircraft is an extremely interdisciplinary activity incorporating simultaneous consideration of complex, tightly coupled systems, functions and requirements. The design task is to achieve an optimal integration of all components into an efficient, robust and reliable aircraft with high performance that can be manufactured with low technical and financial risks, and has an affordable life-cycle cost.

CEASIOM (www.ceasiom.com) is a framework that integrates discipline-specific tools like computer-aided design, mesh generation, computational fluid dynamics (CFD), stability and control analysis and structural analysis, all for the purpose of aircraft conceptual design.

A new CEASIOM version is under development within EU Project AGILE (www.agile-project.eu), by adopting the CPACS XML data-format for representation of all design data pertaining to the aircraft under development.

Results obtained from different methods have been compared and analyzed. Some differences have been observed; however, they are mainly due to the different physical modelizations that are used by each of these methods.

This paper summarizes the current status of the development of the new CEASIOM software, in particular for the following modules: CPACS file visualizer and editor CPACSupdater (Matlab) Automatic unstructured (Euler) & hybrid (RANS) mesh generation by sumo Multi-fidelity CFD solvers: Digital Datcom (Empirical), Tornado (VLM), Edge-Euler & SU2-Euler, Edge-RANS & SU2-RANS Data fusion tool: aerodynamic coefficients fusion from variable fidelity CFD tools above to compile complete aero-table for flight analysis and simulation.

This study aims to investigate which factors are associated with the willingness of employers to hire people with disability from the perspective of disability employment service providers. We also identify social marketing approaches that disability employment service providers consider to be most effective in increasing employer willingness to hire people with disability.

Using the framework of the theory of planned behavior, this study examines the association of attitude, subjective norms and perceived behavioral control with employer willingness to hire people with disability. The authors do this from the perspective of disability employment service providers, who are responsible for matching people with disability with suitable employment opportunities. The authors used a qualitative approach to data collection and conducted 30 in-depth interviews. Data analysis included deductive and inductive coding to develop the themes and subthemes.

Attitude, subjective norms and perceived behavioral control were all perceived to influence employers’ willingness to hire people with disability. However, the importance of each construct was perceived to differ by location and organization type. Three key social marketing approaches were perceived to be most effective in increasing employer willingness to hire people with disability: educational, relational and interactive. The educational intervention attempts to increase employers’ knowledge about disability, the relational approach aims to develop relationships within the community to strengthen relationships with employers and the interactive approach involves direct contact between employers and people with disability.

Theoretically, this study reveals perceived heterogeneity in terms of the theoretical constructs that are employer hiring decisions. Practically, results help disability employment service providers design social marketing strategies that are effective in reducing barriers and increasing employment for people with disability. Methodologically, this study adds a new perspective on employer willingness to hire people with disability – that of disability employment service providers – which avoids the social desirability bias found in many self-reported studies of employer attitudes and behavior.

This paper analyzes the productivity effects of structural capital such as research and development (R&D) and organizational capital (OC). Innovation work also produces innovation-labor-biased technical change (IBTC) and knowledge spillovers. Analyses use full register-based dataset of Finnish firms for the period 1994–2014 from Statistics Finland.

Intangibles are derived from the labor costs of innovation-type occupations using linked employer-employee data. The approach is consistent with National Accounting and offered as one method in OECD (2010) and applied in statistical offices, e.g. in measuring software. The EU 7th framework Innodrive project 2008–2011 extended this method to cover R&D and OC.

Methodology is implementable at firm-level and offers way to link personnel reporting to intangible assets. The OC-IBTC as well as total resources allocated to OC are relevant for productivity growth. The R&D stock is relatively higher but R&D-IBTC is smaller than OC-IBTC. Public policy should, besides technology policy, account for OC and OC-IBTC and related knowledge spillovers in the industries that are most important among the SMEs (low market-share-firms).

The data are based on remote access to Statistics Finland; the data cannot be disseminated.

Intangible assets are measured from innovation work that encompasses not only R&D work. IBTC is proxied in production function estimation by relative compensations on IA work. The non-competing nature of IAs is captured by IA knowledge spillovers. The sample sizes are much higher than in earlier studies on horizontal knowledge spillovers (such as for SMEs,) thus bringing additional generality to the results.

This paper aims to analyse the longitudinal performative effects of accounting, focusing on how accounting shapes the stability/instability of economic frames over time.

To explore the performative effects of accounting over time, a longitudinal case study narrates the transformation of a large, listed manufacturing company's financial strategy over 20 years. Using extensive document collection, the authors trace the shift from an “industrial” frame to a “shareholder value” frame in the mid-1990s, followed by the gradual entrenchment of this shareholder value frame until its decline in the wake of the financial crisis in 2008.

Our findings show how accounting has different performative temporalities, capable of precipitating sudden shifts between different economic frames and stabilising an ever-more entrenched and narrowly defined enactment of a specific frame. We conceptualise these different temporalities as performative moments and performative momentum respectively, explaining how accounting produces these performative effects over time. Moreover, in contrast to extant accounting research, the authors provide insight into the performative role of accounting not only in contested but also “cold” situations marked by consensus regarding the overarching economic frame.

Our paper draws attention to the longitudinal performative effects of accounting. In particular, the analysis of how accounting entrenches and refines economic frames over time adds to prior research, which has focused mainly on the contestation and instability of framing processes.