1,929 research outputs found
Blockchain, Leadership And Management: Business AS Usual Or Radical Disruption?
The Internet provided the world with interconnection. However, it did not provide it with trust. Trust is lacking everywhere in our society and is the reason for the existence of powerful intermediaries aggregating power. Trust is what prevents the digital world to take over. This has consequences for organisations: they are inefficient because time, energy, money and passion are wasted on verifying everything happens as decided. Managers play the role of intermediaries in such case: they connect experts with each others and instruct them of what to do. As a result, in our expert society, people's engagement is low because no one is there to inspire and empower them. In other words, our society faces an unprecedented lack of leadership. Provided all those shortcomings, the study imagines the potential repercussions, especially in the context of management, of implementing a blockchain infrastructure in any type of organisation. Indeed, the blockchain technology seems to be able to remedy to those issues, for this distributed and immutable ledger provides security, decentralisation and transparency. In the context of a blockchain economy, the findings show that value creation will be rearranged, with experts directly collaborating with each others, and hierarchy being eliminated. This could, in turn, render managers obsolete, as a blockchain infrastructure will automate most of the tasks. As a result, only a strong, action-oriented, leadership would maintain the organisation together. This leadership-in-action would consist in igniting people to take action; coach members of the organisations so that their contribution makes sense in the greater context of life
Market shaping dynamics : interplay of actor engagement and institutional work
Purpose: Combining institutional work and actor engagement (AE) literature, this paper aims to elucidate how the collective action of market shaping occurs through the interplay between market shapersâ institutional work and engagement of other market actors. While markets are shaped by actorsâ purposive actions and recent literature notes the need to also mobilize AE, the underlying process remains nebulous. Design/methodology/approach: This paper is conceptual but supported by an illustrative case study: the Winding Tree. This blockchain-based, decentralized travel marketplace shapes a market by decoupling existing resource linkages, creating new ones and stabilizing others through a dynamic, iterative process between the market shaperâs institutional work and othersâ AE. Findings: The paper develops a dynamic, iterative framework of market shaping through increased resource density, revealing the interplay between seven types of market shapersâ institutional work distilled from the literature and changes in other market actorsâ engagement dispositions, behaviors and the diffusion of AE through the market. Originality/value: This research contributes to the emergent market shaping and market innovation literature by illustrating how the engagement of market actors is a fundamental means of market shaping. Specifically, it advances understanding of how market shapersâ institutional work leads to new resource linkages and higher resource density in emergent market systems through AE. The resultant framework offers an original, critical foundation for future market shaping research
Empowering remittance management in the digitised landscape: A real-time Data-Driven Decision Support with predictive abilities for financial transactions
The advent of Blockchain technology (BT) revolutionised the way remittance
transactions are recorded. Banks and remittance organisations have shown a
growing interest in exploring blockchain's potential advantages over
traditional practices. This paper presents a data-driven predictive decision
support approach as an innovative artefact designed for the blockchain-oriented
remittance industry. Employing a theory-generating Design Science Research
(DSR) approach, we have uncovered the emergence of predictive capabilities
driven by transactional big data. The artefact integrates predictive analytics
and Machine Learning (ML) to enable real-time remittance monitoring, empowering
management decision-makers to address challenges in the uncertain digitised
landscape of blockchain-oriented remittance companies. Bridging the gap between
theory and practice, this research not only enhances the security of the
remittance ecosystem but also lays the foundation for future predictive
decision support solutions, extending the potential of predictive analytics to
other domains. Additionally, the generated theory from the artifact's
implementation enriches the DSR approach and fosters grounded and stakeholder
theory development in the information systems domain.Comment: Ppaper has been accepted for presenting in the Australasian
Conference on Information Systems 2023, Dec 6 to 8, Wellington, N
Empowering remittance management in the digitised landscape: A real-time Data-Driven Decision Support with predictive abilities for financial transactions
Blockchain technology (BT) revolutionised remittance transactions recording, banks and remittance institutes have shown growing interest in exploring blockchain\u27s potential advantages over traditional practices. This paper presents a data-driven predictive decision support approach as an innovative artefact designed for blockchain-oriented remittance industry. Employing theory-generating Design Science Research (DSR) approach, the transaction Big Data (BD) driven predictive emerged. The artefact integrates Predictive Analytics (PA) and Machine Learning (ML) to enable real-time transactions monitoring, empowering management decision-makers to address challenges in the uncertain digitized landscape of blockchain-oriented remittance companies. Bridging the gap between theory and the practice, this research safeguards the remittance ecosystem while fostering future predictive decision support solution with its PA advancement in other domains. Additionally, the generation of theory from the artifact\u27s implementation enriches the DSR approach and fosters grounded and stakeholder theory development in the Information Systems (IS) domain
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