Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Vaio, Assunta Di; Latif, Badar; Gunarathne, Nuwan; Gupta, Michèle; D’Adamo, Idiano

doi:10.1108/jeim-08-2022-0275

Cited by 57 publications

(43 citation statements)

References 154 publications

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“…Industry companies must invest in digital technologies to transform how they design, manufacture and distribute their products. Investing in technologies such as the Internet of ihings (IoT), analytics and artificial intelligence, additive manufacturing or robotics allows organizations to collect and analyse information, create a continuous and connected cycle between the physical and digital world, operate more efficiently and generate value for your business and your customers (Di Vaio et al ., 2023).…”

Section: Discussionmentioning

confidence: 99%

The role of traditional aspects, health consciousness and environmental concerns in Italian agri-food consumption during Covid-19

Arcese

Elmo

Fortuna

et al. 2023

BFJ

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PurposeThe study investigates how consumers' food purchasing habits changed during the Covid-19 pandemic in Italy. The research aims to understand if traditional aspects, health consciousness and environmental concerns have influenced and changed the purchases of food products post-pandemic.Design/methodology/approachThe authors developed a theoretical model to understand whether health consciousness, traditional aspects and environmental concerns affect consumers' purchasing intention. The study collects secondary data to analyse state of the art and investigate consumer behaviour in the agri-food system after the pandemic. Thereafter, a survey was conducted via a convenience random sampling procedure. The data (n = 622) were analysed using the formulated research framework and tested through the structural equation modelling procedure.FindingsThe findings reveal that health consciousness and traditional aspects (culinary traditions, ingredients usage from one's territory of origin, products' origin attention) are among the main reasons for purchasing agri-food goods after the pandemic. Instead, environmental concerns negatively affect consumers' purchase intentions.Originality/valueThe study identifies which aspects influenced consumers' purchasing intentions after the Covid-19 pandemic. It also provides insights for food companies and policymakers on the factors to be improved to optimize the agri-food sector following a sustainable perspective and in order to develop effective business strategies.

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Section: Discussionmentioning

confidence: 99%

The role of traditional aspects, health consciousness and environmental concerns in Italian agri-food consumption during Covid-19

Arcese

Elmo

Fortuna

et al. 2023

BFJ

View full text Add to dashboard Cite

show abstract

“…For instance, a successfully integrated enterprise information system leads to higher decision-making efficiency, as such a system digitalizes an enterprise's business processes so that the firm can monitor and control the processes by checking and manipulating the data on the system (Mathrani et al ., 2013). As a result, decision-making efficiency is significantly increased since managers can easily intervene in the business flow, which is transformed into a digital form represented by data via the information system, saving the trouble that could arise in physical intervention and coordination (Di Vaio et al. , 2023; Song et al ., 2022).…”

Section: Literature Review and Theory Developmentmentioning

confidence: 99%

Digital transformation ambidexterity and business performance

Liu

2023

JEIM

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PurposeWhat distinguishes digital transformation from other traditional IT transformations is its involvement of the entire organization, rather than merely the IT department. Thus, instead of taking a perspective that is confined to the IT department, this paper studies the ambidextrous nature of digital transformation (DT) from the standpoint of the whole firm. The authors define DT ambidexterity as the capability to utilize digital technology to simultaneously improve the efficiency of existing businesses (DT exploitation) and to promote business growth (DT exploration).Design/methodology/approachUsing annual reports of Chinese firms as a mining material, this paper deploys text mining and word frequency analysis to develop a data set of digital transformation to construct DT exploitation, DT exploration and DT ambidexterity, so that the authors can examine and compare their impact on business performance.FindingsThis study's statistics show that observations in this research sample mainly manifest DT ambidexterity and DT exploitation, while DT exploration makes up the smallest proportion. The authors find that DT exploitation, DT exploration, and DT ambidexterity have positive, yet heterogeneous effects on business performance.Research limitations/implicationsThis study expands the existing literature of IT-related ambidexterity by examining the ambidextrous nature of DT from the angle of company-wide strategy instead of the perspective from IT-department and expands the extant literature of digital transformation by examining the heterogeneous effects of its different components on business performance. The authors also add to the digital strategizing literature by showing that different business strategy goals can be attained through different stages of DT.Originality/valueThis study expands the existing literature of IT-related ambidexterity by examining the ambidexterity nature of DT from the angle of company-wide strategy instead of the perspective from IT department and expands the extant literature of digital transformation by examining the heterogeneous effects of its different components on business performance. The authors also add to the digital strategizing literature by showing that different business strategy goals can be attained through different stages of DT.

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“…Equally, the dot-com boom at the turn of the millennium spoke of a future world where everything would be online and digital, but it took a global pandemic to finally realize that vision some two decades hence. Today, capital is flowing toward AI opportunities with equal fervor to the rail and web dreams of the past, but unlike previous “bubbles,” it is flowing at high speed on a global scale (Di Vaio et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

The assessment list for trustworthy artificial intelligence: A review and recommendations

Radclyffe

Ribeiro

Wortham

2023

Front. Artif. Intell.

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In July 2020, the European Commission's High-Level Expert Group on AI (HLEG-AI) published the Assessment List for Trustworthy Artificial Intelligence (ALTAI) tool, enabling organizations to perform self-assessments of the fit of their AI systems and surrounding governance to the “7 Principles for Trustworthy AI.” Prior research on ALTAI has focused primarily on specific application areas, but there has yet to be a comprehensive analysis and broader recommendations aimed at proto-regulators and industry practitioners. This paper therefore starts with an overview of this tool, including an assessment of its strengths and limitations. The authors then consider the success by which the ALTAI tool is likely to be of utility to industry in improving understanding of the risks inherent in AI systems and best practices to mitigate such risks. It is highlighted how research and practices from fields such as Environmental Sustainability, Social Justice, and Corporate Governance (ESG) can be of benefit for addressing similar challenges in ethical AI development and deployment. Also explored is the extent to which the tool is likely to be successful in being taken up by industry, considering various factors pertaining to its likely adoption. Finally, the authors also propose recommendations applicable internationally to similar bodies to the HLEG-AI regarding the gaps needing to be addressed between high-level principles and practical support for those on the front-line developing or commercializing AI tools. In all, this work provides a comprehensive analysis of the ALTAI tool, as well as recommendations to relevant stakeholders, with the broader aim of promoting more widespread adoption of such a tool in industry.

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Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Cited by 57 publications

References 154 publications

The role of traditional aspects, health consciousness and environmental concerns in Italian agri-food consumption during Covid-19

The role of traditional aspects, health consciousness and environmental concerns in Italian agri-food consumption during Covid-19

Digital transformation ambidexterity and business performance

The assessment list for trustworthy artificial intelligence: A review and recommendations

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