Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations

Gupta, Shivam; Modgil, Sachin; Kumar, Ajay; Sivarajah, Uthayasankar; Irani, Zahir

doi:10.1016/j.ijpe.2022.108642

Cited by 60 publications

(18 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The findings show a lack of integration from the perspectives of both groups of actors in the preparedness stage due to certain challenges and the complexity of HSCs. The PM process framework offers suggestions that have not been put forth in previous studies: for example, a real-time report is suggested as more than just essential technology used in the empirical data, corresponding to Gupta et al (2022), who highlighted the importance of real-time information sharing between actors.…”

Section: How Can Pm Process Integration Be Increased To Improve Ce An...mentioning

confidence: 99%

“…Other studies have indicated the benefits and advancements of implementing digitalization to integrate the PM process (Anjomshoae et al , 2021; Marić et al , 2022) and to improve CE and LTE. For example, Jeble et al (2019) explored how big data and predictive analytics can increase HSCs’ performance; Behl et al (2021) suggested implementing artificial intelligence (AI) tools to understand the performance metrics of HSCs, so HOs can engage donors better; Gupta et al (2022) argued that AI and cloud-based systems can enhance meaningful information-sharing between stakeholders; and Patil et al (2022) mentioned that digitalization could improve the PM integration between various stakeholders. It would be timely to study the ways and trends in digitalization in HSCs in terms of integrating PM to improve CE and LTE.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

See 1 more Smart Citation

Performance management process integration in humanitarian supply chains: focusing on the natural disaster preparedness stage

Jayadi

Forslund

2023

JHLSCM

View full text Add to dashboard Cite

Purpose This study aims to explore how to apply and integrate the performance management (PM) process in humanitarian supply chains (HSCs) among and between humanitarian organizations (HOs) and donors so as to improve cost-efficiency (CE) and lead-time effectiveness (LTE) in the stage of natural disaster preparedness. Design/methodology/approach This study adapts and operationalizes a framework for the PM process used in commercial supply chains to assess HSCs. A multiple-case study with two types of actors – six HOs and three donors—is used to describe the applications of the PM process and analyze the level of integration between the actors. Findings The activities in the PM process could sometimes be only vaguely described. Both actors emphasized improving CE, with less emphasis on LTE. Both actors have a low level of integration in each PM process activity, decreasing the CE and LTE. Therefore, guidelines for improving the level of PM process integration are provided. Research limitations/implications To the best of the authors’ knowledge, this study is one of the first to combine literature on HSCs and PM process integration, thereby contributing to both literature fields. The concrete contribution of this study is a framework for PM process application and integration among and between HOs and donors. Practical implications The PM process framework can be used to assess PM process application, as well as current and increased level of integration, to improve CE and LTE. The current applications can also inspire other HOs and donors. Originality/value Previous studies indicate the lack of frameworks in the PM domain of HSCs, especially in the stage of natural disaster preparedness.

show abstract

Section: How Can Pm Process Integration Be Increased To Improve Ce An...mentioning

confidence: 99%

Section: Limitations and Future Researchmentioning

confidence: 99%

Performance management process integration in humanitarian supply chains: focusing on the natural disaster preparedness stage

Jayadi

Forslund

2023

JHLSCM

View full text Add to dashboard Cite

show abstract

“…The effects of such technologies pave the way for firm performance towards innovation in future research studies. Some instances of digital transformation include big data analytics (Gupta et al, 2020a, b;Sivarajah et al, 2020), blockchain (Janssen et al, 2020;Behl et al, 2022) and artificial intelligence (AI) (Gupta et al, 2022a;Williamson et al, 2023). Thus, future directions can expand our model to explore the significance of digitalisation alongside Cloud ERP towards innovation types.…”

Section: Theoretical Implications and Future Research Avenuesmentioning

confidence: 99%

“…, 2020; Behl et al. , 2022) and artificial intelligence (AI) (Gupta et al. , 2022a; Williamson et al.…”

Section: Conclusion and Future Research Avenuesmentioning

confidence: 99%

A multi-disciplinary review of enablers and barriers to Cloud ERP implementation and innovation outcomes

Ali

Nguyen

Gupta

2023

JEIM

Self Cite

View full text Add to dashboard Cite

PurposeDue to the unprecedented disruptions in business operations, many organisations are turning to Cloud ERP implementation to ensure employees can access real-time business information from anywhere, enabling the continuity of business activities. As a result, over the past decades, literature on Cloud ERP implementation has seen significant growth across different subject areas. This paper aims to present a systematic literature review (SLR) that consolidates the literature scattered across various multidisciplinary subject areas, explores recent developments and identifies knowledge gaps for more impactful future research.Design/methodology/approachAn SLR approach has been applied to a sample of 73 articles published until 1 February 2022.FindingsOur SLR identifies and consolidates a set of critical enablers and barriers to the implementation of Cloud ERP. What is particularly interesting is that this study established a link between these enablers and barriers and four key innovation outcomes: product, service, process and business model innovations. A rigorous framework has been devised that demonstrates the nexus between enablers and barriers to Cloud ERP implementation and innovation outcomes in an organisation. In addition, this study has recognised several organisational theories from information systems literature that have the potential for future research in this emerging area.Research limitations/implicationsThis SLR makes several theoretical contributions to the literature on Cloud ERP implementation and its impact on innovation outcomes.Practical implicationsThe review consolidates a wide range of literature to provide decision-makers with an integrated understanding of the most influential factors in Cloud ERP implementation.Originality/valueSLR provides a comprehensive analysis of the current state of research on the topic, offering unique perspectives on developments in theory and knowledge gaps, as well as identifying future research opportunities in the area.

show abstract

“…In fact, the complicated nature of SCs has evolved over the years, exposing organizations to various emerging vulnerabilities and generating new disruption as a result of global events and occurrences (e.g., disasters, epidemics, geographical conflicts, and digital attacks). Consequently, organizations have adopted advanced technology to enhance productivity, forecasts, abilities, and decision‐making efficiency (Gupta et al, 2023). In this regard, artificial intelligence, blockchain, the Internet of Things, and big data analytics methods are all instances of cutting‐edge enabling technologies of the fourth industrial revolution I4.0.…”

Section: Introductionmentioning

confidence: 99%

The adoption of I4.0 technologies for a sustainable and circular supply chain: an industry‐based SEM analysis from the textile sector

Hmamed,

Cherrafi,

Benghabrit

et al. 2023

Bus Strat Env

View full text Add to dashboard Cite

Currently, researchers have been particularly interested in Industry 4.0 (I4.0) as a combination of novel revolutionary digital technologies. This evolution is transforming how organizations operate to promote sustainable and circular practices. Consequently, this research empirically investigates the capabilities of I4.0 adoption to establish a sustainable and circular supply chain. The study investigates the impact of organizational factors on the deployment of I4.0 technologies to achieve sustainability objectives. Furthermore, this approach combines empirical and qualitative analyses within a methodological framework to investigate the relationship between organizational factors, I4.0 adoption, sustainable, and circular practices. In this context, survey responses have been collected from 323 supply chain professionals in the textile sector in Morocco. Consequently, employing structural equation modeling, our results reveal a strong link between I4.0 adoption and the promotion of circular and sustainable approaches. The study finds a positive association between I4.0 adoption, technological readiness, and environmental responsiveness while highlighting the challenges posed by organizational practices on I4.0 implementation in developing countries. This research contributes to the theoretical foundations of the potential influence of I4.0 technologies, and it provides practical contributions for stakeholders to effectively embrace I4.0 technologies and thereby drive more sustainable and efficient practices.

show abstract

Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations

Cited by 60 publications

References 92 publications

Performance management process integration in humanitarian supply chains: focusing on the natural disaster preparedness stage

Performance management process integration in humanitarian supply chains: focusing on the natural disaster preparedness stage

A multi-disciplinary review of enablers and barriers to Cloud ERP implementation and innovation outcomes

The adoption of I4.0 technologies for a sustainable and circular supply chain: an industry‐based SEM analysis from the textile sector

Contact Info

Product

Resources

About