“Intelligent” finance and treasury management: what we can expect

Polák, Petr; Nelischer, Christof; Guo, Haochen; Robertson, David C.

doi:10.1007/s00146-019-00919-6

Cited by 48 publications

(23 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the heart of the debate are arguments from mainstream economic theory. AI is viewed by many business experts as a technology that can spur innovation and provide competitive advantage (Davenport 2018; Polak et al 2020 for the finance sector). In the pharmaceutical industry, AI is already used to spur innovation in a number of ways: for instance, to cite just three platforms, by mapping rare diseases (BERG platform); predicting the pharmaceutical properties of small-molecule candidates for drug development (XtalPi's ID4 platform); or identifying new therapeutic uses for already validated products (BioXel).…”

Section: Optimistic Scenariosmentioning

confidence: 99%

Artificial intelligence and work: a critical review of recent research from the social sciences

Deranty

Corbin

2022

AI & Soc

View full text Add to dashboard Cite

This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and nationalistic pressures.

show abstract

Section: Optimistic Scenariosmentioning

confidence: 99%

Artificial intelligence and work: a critical review of recent research from the social sciences

Deranty

Corbin

2022

AI & Soc

View full text Add to dashboard Cite

show abstract

“…It also allows an organization to forecast the demand of the customer as well as enable customers to track their orders. Employees and systems should predict and behave proactively until problems and challenges emerge, instead of merely responding to them after they take place (Musa and Idris, 2020; Polak et al , 2019). This function will involve detecting irregularities, restocking and replenishing inventory, recognizing and resolving quality issues and tracking safety and maintenance issues (Coleman et al , 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Adopting open innovation for SMEs and industrial revolution 4.0

Anshari

Almunawar

2021

JSTPM

View full text Add to dashboard Cite

Purpose Industrial Revolution 4.0 is still evolving. The purpose of this paper is to assess the progress of Indonesia in achieving an initiative for Industry 4.0. As the largest country in Southeast Asia, Indonesia plays a critical role in implementing Industry 4.0. In addition, this study proposes an open innovation strategies for small and medium enterprises (SMEs) in facing Industry 4.0, especially in the Indonesian setting. Open innovation is viewed as a long-term innovation model that relies on cross-border commerce between businesses and countries. Design/methodology/approach This study undertakes a comprehensive literature review to capture the necessary insights for establishing an early grasp of solution design. A total of 32 sample papers were qualified using a set of selection criteria designed to find the most relevant existing studies in the Industry 4.0 and Indonesia domains. The meta-details as significant discoveries were processed using a content analysis approach. In addition, the research deployed sentiment analysis from text mining to inter-operate and classify (positive, negative and neutral) in-text data using text analysis techniques to identify public sentiment toward Industry 4.0 in Indonesia. Findings The key finding is that there is a favorable relationship between digital ecosystem readiness and open innovation adoption for SMEs. While, knowledge management is a critical factor in guiding a country’s successful implementation of the open innovation paradigm. Furthermore, some of the major findings revealed that many initiatives for Industry 4.0 are carried out by the private sectors. In regards to the procedure, the role of government is the protection of market regulations. This could be due to preserving fair competition between corporations and SMEs. Local businesses and SMEs should be protected to ensure their survival. In addition, the major cause of the slow adoption of Industry 4.0 in Indonesia is the lack of digital equipment. This is because of the shortage of digital equipment that can create a digital divide between large and small businesses and between industries in the urban and rural areas. Research limitations/implications This study discussed some of the most essential issues of SMEs in adopting open innovation that is required for Industrial Revolution 4.0. It focuses on how digital ecosystem’s readiness influences open innovation adoption for SMEs in Indonesia. By understanding its current state of readiness, it contributes to the policymakers in deciding how and where to adopt open innovation and develop digital ecosystem and identify which ones might best meet their needs for any developing countries. Originality/value This paper is useful to academics, practitioners and policymakers in the fields of technology and public policy. The research provides some initial insights into Indonesia and any developing countries on Industry Revolution 4.0 and the needs for SMEs in adopting open innovation.

show abstract

“…While this may be overdoing for many firms, it is also relatively cheap to do so, at least nowadays. New optimums can be sought for by stumbling in the dark and building up experience to arrive at acceptable solutions at first, but artificial intelligence systems such as increasingly applied in treasury management may do a better job in the end (Polàk et al 2020). Having said this, we feel that proper sensing will still be needed anyway.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Corporate liquidity in normal and crisis times: what is the best yardstick?

Dorsman

Westerman

2021

CEREM

View full text Add to dashboard Cite

Abstract: Aim: This paper is meant to investigate measures that help to assess corporate liquidity in both normal and crisis periods. Design / research methods: We provide an overview of relevant liquidity measures used by both professionals and academics, apply regular liquidity measures on three major European electricity suppliers, study three local cases to find out how a recent crisis affected liquidity and provide an overview of liquidity management on 27 electricity, oil/gas and other multinational firms. Conclusions / findings: Liquidity measures concentrate on cash ratios, working capital ratios and in specific the cash conversion cycle (CCC). It appears to matter whether a company is production driven or sales driven. In crisis times, whereas priorities do change, liquidity measures should not. Originality / value of the article: We plead for keeping a close eye on the CCC in both good and bad times. The article provides various recommendations to academics and practitioners.

show abstract

“Intelligent” finance and treasury management: what we can expect

Cited by 48 publications

References 5 publications

Artificial intelligence and work: a critical review of recent research from the social sciences

Artificial intelligence and work: a critical review of recent research from the social sciences

Adopting open innovation for SMEs and industrial revolution 4.0

Corporate liquidity in normal and crisis times: what is the best yardstick?

Contact Info

Product

Resources

About