Organizational Learning in the Age of Data

Banasiewicz, Andrew D.

doi:10.1007/978-3-030-74866-1

Cited by 4 publications

(8 citation statements)

References 104 publications

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“…OL's ultimate purpose is to add to the informational efficacy of decision-making (Banasiewicz, 2019). In a knowledge-centric economy, staying competitive requires new and effective methods for generating and utilising decision-guiding knowledge (Banasiewicz, 2019). AI opportunities can be exploited for augmentation, encompassing analytic data techniques and codified knowledge to enhance human decision-makers' intelligence (intelligence amplification).…”

Section: Organisational Learningmentioning

confidence: 99%

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Creating AI business value through BPM capabilities

Zebec,

Indihar Štemberger

2024

BPMJ

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PurposeAlthough businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.Design/methodology/approachThe integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.FindingsThe results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.Research limitations/implicationsIn pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.Practical implicationsThe provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.Originality/valueWhile previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

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Section: Organisational Learningmentioning

confidence: 99%

Section: Organisational Learningmentioning

confidence: 99%

Creating AI business value through BPM capabilities

Zebec,

Indihar Štemberger

2024

BPMJ

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“…GC 4.0, still ongoing, seeks the decentralization of knowledge on platforms built with userfriendly cognitive computing and gamified to promote storytelling with data in remote and hybrid work environments. In addition, it aims to improve collective knowledge with the application of mathematical models and statistical methods for data-driven decision-making (PROVOST; FAWCETT, 2016;BANASIEWICZ, 2022;MCBREEN;SILSON;BEDFORD, 2022;HAWAMDEH;SHANG, 2023;FILE;.…”

Section: Evolution Of Kmmentioning

confidence: 99%

“…With this, it hopes to create an analytical advantage for sustainable competitiveness with the use of statistical methods and algorithms for big data analysis. Companies that act in this way are characterized as data-driven, those that use data analysis and insights in decision-making to generate deliberate cost, differentiation, or focus strategies to achieve analytical advantage by discovering trends (BANASIEWICZ, 2022;HARRIS, 2020;SCHAEFER;MAKATSARIA, 2021;AL-SARTAWI ET AL., 2022;. KM 5.0, recently launched, aims to leverage efficiency, foster innovation, improve decisionmaking and boost KM in companies with Artificial Intelligence (AI; Artificial Intelligence (AI).…”

Section: Evolution Of Kmmentioning

confidence: 99%

“…The integration of KM with modern data science offers methods to extract valuable insights from large data sets and share that information within the enterprise. Together, they facilitate data-driven decision-making and foster innovation (PROVOST; FAWCETT, 2016;BANASIEWICZ, 2022;MCBREEN;SILSON;BEDFORD, 2022;HAWAMDEH;SHANG, 2023;FILE;. KM and Maturity Models: KM maturity models are valuable tools to assess and guide the development of a company's KM capabilities, identifying areas of strength and improvement (ARIAS-PEREZ; TAVERA-MESÍAS; SERNA, 2019;REGISTRAR;SILVA, 2019;GUNAWAN ET AL., 2019).…”

Section: Km and Data Sciencementioning

confidence: 99%

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Perspectives and Trends in Organizational Knowledge Management

Lima,

de Menezes,

Teixeira

et al. 2024

Harmony of Knowledge: Exploring Interdisciplinary Synergie

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This article examines the perspectives and trends in Organizational Knowledge Management. In this sense, it explores the meanings attributed by experts in the discipline in relation to the statements made about the decline of the discipline in the academic and business environment. It also conducts research in the academic and specialized business literature on the perspectives and trends of the discipline. The chosen research method was the case study, carried out in an information technology company that executes the information technology policy of the State of Rio Grande do Sul, Brazil. For data collection, a questionnaire was applied and semi-structured interviews were conducted, as part of the qualitative research paradigm. The results show not only the vitality of the discipline, but also its evolution since its inception. The perception of professionals in the field about the origin of pessimistic statements about the discipline offers an overview of the direction it is taking at the business level. The development of automated mechanisms for knowledge flows that can be leveraged by artificial intelligence stands out. The possibility of a reformulation of the discipline is considered, given the perception of specialists that narrow, partial or mistaken conceptions about it are prevailing. In the review of the specialized academic and commercial literature on the discipline, perspectives were found in relation to the implementation of standards for knowledge management, such as ISO-9001 and ISO-30401, the performance of audits to ensure the effectiveness of these programs, advances in relation to the adoption of practices to improve collective organizational learning, increasing use of communities of practice, emphasis on competitive intelligence, and data privacy concerns. The trends of the discipline indicate lean project management, attention to information sharing for remote work, actions aimed at absorptive capacity and organizational ambidexterity, intensive use of data analysis, alignment with themes of Society 5.0 and sustainability, use of maturity models, and the impact of artificial intelligence. The relevance of the research lies in the adoption of a critical-skeptical approach absent from the literature on the subject, which is reflected in the voices of professionals in the field. The study makes theoretical contributions and brings implications at the practical level and suggests the realization of future studies for empirical validation of knowledge management projects.

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Ebbs and Flows of Securities Fraud Litigation: Empirical Examination of Post-PSLRA Frequency & Severity Trends

Banasiewicz

2022

TIJAB

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The separation of ownership and management that characterizes modern business corporations frequently gives rise to a conflict of interest known as agency dilemma. A manifestation of information asymmetry between organizational decision-makers – i.e., corporate directors and officers – and organizational owners/investors, that discord can spur formal allegations of incorrect, incomplete, misleading, or untimely management disclosures, ultimately leading to securities fraud litigation or simply shareholder litigation. For companies with distributed ownership spread across thousands of individual and institutional investors, securities lawsuits commonly encompass large pools or ‘classes’ of shareholders jointly pursuing their claims seeking financial compensation for management misinformation-caused losses; not surprisingly, those class actions stand out as one of the most economically and reputationally damaging manifestations of organizational risk. The research summarized here offers empirical assessment of the 25 years of securities class action filings and settlements that followed the passage of the seminal legislative act, the Private Securities Litigation Reform Act of 1995, yielding a number of unexpected shareholder litigation incidence and cost related conclusions.

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Organizational Learning in the Age of Data

Cited by 4 publications

References 104 publications

Creating AI business value through BPM capabilities

Creating AI business value through BPM capabilities

Perspectives and Trends in Organizational Knowledge Management

Ebbs and Flows of Securities Fraud Litigation: Empirical Examination of Post-PSLRA Frequency & Severity Trends

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