Artificial Intelligence, Firm Resilience to Supply Chain Disruptions, and Firm Performance

Sullivan, Yulia W.; Wamba, Samuel Fosso

doi:10.24251/hicss.2022.719

Cited by 17 publications

(16 citation statements)

References 39 publications

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“…Under the theoretical lens of resilience, SCM has to be rethought and transformed from a reactive approach into a proactive approach. Consistent with this, Sullivan and Wamba (2022) found in their research that AI can be firms' reply to disruptive events like the COVID-19 pandemic. Moreover, based on our analysis results, the progress of the resilience business model highlights the substantial necessity to consider cultural and social outcomes in addition to the financial outcomes of artificial knowledge adoption.…”

Section: Digitalization and Artificial Knowledgesupporting

confidence: 55%

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

Vaio

Latif

Gunarathne

et al. 2023

JEIM

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PurposeIn this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.Design/methodology/approachUsing the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.FindingsThe results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.Research limitations/implicationsThe study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.Practical implicationsThis research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.Originality/valueThis study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

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Section: Digitalization and Artificial Knowledgesupporting

confidence: 55%

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

Vaio

Latif

Gunarathne

et al. 2023

JEIM

View full text Add to dashboard Cite

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“…Another example of a chatbot aimed at promoting sustainability is GreenLight as a solution to the Vienna Hackathon for Good AI challenge to “Hack the Transport.” It aims to provide environmentally friendly suggestions for transportation and targets people who want to live in a more sustainable manner (GreenLight 2019). Additionally, there have been several studies conducted on the social and emotional impact of chatbot services, and their use as an educational and inclusive tool for individuals with intellectual disabilities (Laestadius et al 2022, Mateos‐Sanchez et al 2022, Sullivan et al 2023). A comprehensive evaluation of the environmental and social effects of AI technologies, including chatbot services, is critical for ensuring their sustainable and responsible deployment.…”

Section: Environmental and Social Impacts Of Chatbots Servicesmentioning

confidence: 99%

Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective

Haghighi

Saqalaksari

Johnson

2023

Bulletin Ecologic Soc America

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The potential of artificial intelligence (AI) to shape research and education is a highly topical issue. The recent release of ChatGPT (Chat Generative Pre‐trained Transformer) by OpenAI on November 30, 2022 has opened up new possibilities for the use of chatbot services in ecological research and education. In this perspective article, we address associated contemporary topics including the use of chatbot services in ecology education and academic writing, the application of AI in ecology, the potential environmental impact, and ethical considerations of using such services. Several logistical, ethical and environmental factors were identified that should be considered in the context of ecological research. We argue that ChatGPT can help reduce the workload of researchers, generate new insights and ideas, and serve as a personal instructor and assistant for students. While we show how AI chatbots have the potential to be useful assets for ecologists, several challenges arose. AI in ecological research includes the limited ability of AI algorithms to capture complexity and nuance, the dependence of AI models on data quality, and ethical concerns about the use of AI in research. The construction and operation of such services also have potential environmental impacts but may also provide environmental benefits in comparison with other conventional approaches, all of which should be evaluated. Despite these limitations and challenges, we consider that the use of AI can be a valuable tool in ecological research and could enhance the speed and efficiency of research by automating certain tasks (e.g. data collection and management) and analyzing large amounts of data. However, we emphasize the importance of taking a responsible, sustainable and transparent approach to using chatbot services and AI in ecological research and education, while remaining mindful of the potential impact on the environment, society, and ethical concerns.

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“…For instance, Bahrami et al (2022) reported that big data analytics improved the SCP through SCRES. Similarly, SCRES have a positive impact on the relationship between artificial intelligence and SCP (Sullivan and Wamba, 2022). Likewise, blockchain technology enhances the SCRES and thereby increases the SCP by providing real-time data and transparency in the information (Min, 2019).…”

Section: Supply Chain Resilience (Scres)mentioning

confidence: 99%

Influence of supply chain resilience, information technology capabilities and agility on cost and delivery performance in construction supply chains: an Indian perspective

Cherian¹,

Mathivathanan²,

SJ³

et al. 2022

IJLM

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PurposeThe impact of COVID-19 pandemic has been severely felt by India's construction industry, which contributes heavily to economic growth and employment. An analysis of the impact of supply chain agility, supply chain resilience and information technology capability on the construction supply chain cost and delivery performance is presented in this study in an Indian scenario post-COVID-19.Design/methodology/approachAn analysis of moment structures-confirmatory factor analysis-based structural equation modeling is applied to a structured questionnaire received from 220 construction companies located in Southern India.FindingsAccording to the results, supply chain agility, supply chain resilience and information technology capability are essential capabilities for post-COVID-19 supply chain performance. Furthermore, these factors are observed to have a positive impact on improving cost and delivery performance in construction supply chains focused on building sustainability.Research limitations/implicationsThe results of this study can be used by other industries to ensure robustness and sustainability of business operations during post-COVID periods. Improving supply chain agility and information technology capabilities along with building resilience results in improving cost and delivery performance against disruptive scenarios.Originality/valueDespite previous studies addressing the effects of COVID-19 on supply chain performance, information technology capability, agility and resilience are not addressed in construction industry research. The current study examines the simultaneous effects of resilience, agility, and information technology capability on the cost and delivery performance of Indian construction projects.

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Artificial Intelligence, Firm Resilience to Supply Chain Disruptions, and Firm Performance

Cited by 17 publications

References 39 publications

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

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

Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective

Influence of supply chain resilience, information technology capabilities and agility on cost and delivery performance in construction supply chains: an Indian perspective

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