Knowledge Management Special Issue: Connecting Theory and Practice

Total Page:16

File Type:pdf, Size:1020Kb

Knowledge Management Special Issue: Connecting Theory and Practice A Quarterly Journal of Nowy Sacz School of Business – National-Louis University KNOWLEDGE MANAGEMENT SPECIAL ISSUE: CONNECTING THEORY AND PRACTICE Edited by Patrick Lambe Volume 10 Issue 1 2014 Contents From the Editor 3 Alex Bennet and David Bennet 7 Knowledge, Theory and Practice in Knowledge Management: Between Associative Patterning and Context-Rich Action Andrzej Lis 57 Knowledge Creation and Conversion in Military Organizations: How the SECI Model is Applied Within Armed Forces David Williams 79 Models, Metaphors and Symbols for Information and Knowledge Systems Nicholas J Milton 109 Findings from International Surveys Providing a Snapshot of the State of KM from a Practitioner Point of View Arthur Shelley 129 Active Learning Innovations in Knowledge Management Education Generate Higher Quality Learning Outcomes Marek Szelągowski 147 Becoming a Learning Organization Through Dynamic Business Process Management 3 From the Editor In 2004 I co-organized and chaired the first International Conference on Knowledge Management (Trezzini et al 2004). One of our goals was to bring together practitioners and academics into a common forum, and indeed there were good contributions from both academe and practice. As an experiment, I conducted a social network analysis exercise, based on participant self- reports of whom they had had conversations with, during the conference breaks. When we shared this at the conference close, it was striking that for the most part, practitioners had been talking to practitioners, and academics had been talking to academics. It was also striking that there was a third, “blended” group of participants, who were active in the teaching and research space, but also in KM implementation and practice. They were the network brokers, holding this rather tenuous web of connections together. Since then, I have argued strongly that KM cannot advance until it breaks down the fragmentation that exists, between schools of practice, and between the realms of practice and theory (Lambe 2011a, Lambe 2011b). Of course, there are positive signals. Many Master’s programmes in KM engage practitioners as adjunct faculty. Several universities actively engage with the practitioner community and industry, and may offer consulting services to clients (Hong Kong Polytechnic University, Bangkok University, Monash University, Kent State University). Academics and practitioners serve together on standards and advisory bodies, and partner in research projects. Discussion forums such as the actKM Forum have participation from both practitioners and academics. The boundaries between academe and practice are also porous, with academics going into practice, and practitioners entering academe. The pertinent question is whether this is enough. While cooperation has positive models to show, there are still very few institutional mechanisms for leveraging evidence from KM practice in KM research, or for testing theoretical postulates in practice. This issue was conceived to explore the relationship between KM theory and practice, and to provide insights to the KM research and practitioner community about how to advance this relationship. In the spirit of the issue, submissions were invited from both researchers and practitioners, and all submissions were reviewed by reviewers who have experience in both research and practice, in a blind peer reviewed process. 4 Our flagship article, from Alex and David Bennet, challenges the entire premise of this special issue. It suggests that an academic-practitioner dualism is a false and potentially misleading construct. The Bennets argue that knowledge management necessarily mirrors the fluidity and complexity of working with knowledge in the world. It is messy by nature. They put an intriguing case for the role of theoretical constructs and frameworks as boundary objects between theory and practice, provoking both dialogue and exploration. For example, we see in Andrzej Lis’ paper how the SECI framework, while increasingly challenged for its lack of empirical underpinning (Gourlay 2006) may act as a sensemaking frame to interpret and account for KM practices in a military setting. David Williams’ exploration of the DIKW framework shows how logical and performative shortcomings in a framework stimulate a push for a stronger theory-based framework that can inform practical decision- making about KM systems design. Nick Milton’s paper points out that consulting practitioners using consistent frameworks covering many organisations and over extensive periods of time, can build a body of data that illuminates both theory (eg. the effectiveness of a framework to assess KM maturity) and practice (eg. in identifying patterns of need and effective interventions). He makes the case for closer cooperation between academics and practitioners in making such data available for research purposes. Arthur Shelley looks at the critical domain of KM education, and illustrates how practice-oriented teaching helps KM students internalize, query and apply KM theories in helpful ways. Finally, Marek Szelągowski’s paper describes how the evolution of business process management practices, which he describes as dynamic BPM, can – almost as a by-product – bring about the characteristics espoused by learning organization theory. This is particularly intriguing because of the difficult relationship that BPM has had with learning organization theory and knowledge management. All three were fashionable children of the 1990s, and some early exponents of KM were also BPM enthusiasts. However, BPM’s rapid evolution into business process reengineering and its alignment with large scale restructuring and efficiency exercises, often meant large scale knowledge loss and actively anti-learning organization practices (Davenport 1995). Against this backdrop, Szelągowski’s paper reads as a long overdue reconciliation between a key business practice and an important theoretical frame. It has not been straightforward to curate a collection of articles, many of them written by practitioners, for an academic journal. I would like to thank Anna Ujwary-Gil who first invited me to undertake this special issue, 5 and who has supported me through several unconventional decisions. To the anonymous reviewers, though you may not always agree with my editorial decisions, your candour, challenges, and care for our discipline have immeasurably improved these papers. To the authors, writing at the boundary between KM theory and practice is a sensitive, sometimes tense, and often difficult task. You have borne the extra work with grace, patience and aplomb. Patrick Lambe Bangkok University, Thailand, and Straits Knowledge, Singapore. Editorial Board, JEMI. References Davenport, T. (1995). The fad that forgot people. Fast Company, October 31. Gourlay, S. (2006). Conceptualizing knowledge creation: a critique of Nonaka’s theory. Journal of Management Studies, 43(7). Lambe, P. (2011a). The unacknowledged parentage of knowledge management. Journal of Knowledge Management, 15(2). Lambe, P. (2011b). The three tribes: knowledge management, learning and intellectual capital - towards a common agenda’ paper presented at the 8th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning, Bangkok, Thailand, 27-28 October. Trezzini, B., Lambe, P., Hawamdeh, S. (2004). People, knowledge and technology: what have we learnt so far? Proceedings of the first iKMS International Conference on Knowledge Management (New Jersey: World Scientific). 7 Knowledge, Theory and Practice in Knowledge Management: Between Associative Patterning and Context-Rich Action Alex Bennet and David Bennet Abstract Embedded throughout this paper you will find the diversity of opinions that correlates to the diversity of theories, frameworks, case studies and stories that are related to the field of Knowledge Management (KM). We begin by introducing the Sampler Research Call approach and the 13 KM academics and practitioners working in different parts of the world who answered the call. We then provide baseline definitions and briefly explore the process of knowledge creation within the human mind/brain. After a brief (and vastly incomplete) introduction to KM literature at the turn of the Century, the frameworks of Sampler Call participants are introduced, and two early frameworks that achieved almost cult status—the Data-Information- Knowledge-Wisdom (DIKW) continuum and the SECI (socialization, externalization, combination and internalization) model—are explored through the eyes of Sampler Call participants. We then introduce the results of the KMTL (Knowledge Management Thought Leader) Study, which suggest theories consistent with the richness and diversity of thought interwoven throughout this paper. The field of KM is introduced as a complex adaptive system with many possibilities and opportunities. Finally, we share summary thoughts, urging us as KM academics and practitioners to find the balance between the conscious awareness/understanding of higher-order patterns and the actions we take; between the need for overarching theory and the experiential freedom necessary to address context-rich situations. Keywords: knowledge, knowledge management, theory, information, learning, surface knowledge, shallow knowledge, deep knowledge, neuroscience, mind/brain, decision-making, higher-order patterns, complexity, thought leaders, practitioners, knowledge (proceeding), knowledge (informing), SECI model, DIKW continuum, wisdom, KM research, KM frameworks.
Recommended publications
  • Models, Metaphors and Symbols for Information and Knowledge Systems
    79 Models, Metaphors and Symbols for Information and Knowledge Systems David Williams Abstract A literature search indicates that Data, Information and Knowledge continue to be placed into a hierarchical construct where it is considered that information is more valuable than data and that information can be processed into becoming precious knowledge. Wisdom continues to be added to the model to further confuse the issue. This model constrains our ability to think more logically about how and why we develop knowledge management systems to support and enhance knowledge- intensive processes, tasks or projects. This paper seeks to summarise development of the Data-Information-Knowledge-Wisdom hierarchy, explore the extensive criticism of it and present a more logical (and accurate) construct for the elements of intellectual capital when developing and managing Knowledge Management Systems. Keywords: DIKW, knowledge management, intellectual capital, organizational learning, systems, data, information, knowledge, wisdom, truth, records, evidence, belief. Introduction Whenever we build systems or develop architecture or a framework for developing systems, it is critical to have a shared understanding of the style, design elements and building blocks that we are working with. Having a simple model of the relationships between data, information and knowledge is important to be able to promote a shared understanding of how the components of a knowledge management system connect and contribute to achieving the desired business outcome. The construct of the Data-Information-Knowledge-Wisdom (DIKW) as a hierarchy is not a preferred model to underpin the design, build and operation of knowledge management systems and may lead to poor design. The presumption that if you process enough data, a system will deliver information and then knowledge is challenged by many critics of the DIKW hierarchy model.
    [Show full text]
  • Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid
    University of Michigan Law School University of Michigan Law School Scholarship Repository Law Librarian Scholarship Other Publication Series 2016 Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid Xiaomeng Zhang University of Michigan Law School, [email protected] Available at: https://repository.law.umich.edu/librarian/23 Follow this and additional works at: https://repository.law.umich.edu/librarian Part of the Legal Writing and Research Commons, and the Library and Information Science Commons Recommended Citation Zhang, Alex Xiomeng. "Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid” L. Library J., 108, no. 4 (2016): 599-622. This Article is brought to you for free and open access by the Other Publication Series at University of Michigan Law School Scholarship Repository. It has been accepted for inclusion in Law Librarian Scholarship by an authorized administrator of University of Michigan Law School Scholarship Repository. For more information, please contact [email protected]. LAW LIBRARY JOURNAL Vol. 108:4 [2016-29] Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid* Alex “Xiaomeng” Zhang** Historical debates demonstrated that knowledge monopoly is a key to a profession. This article explores the exclusive knowledge base of the law librarianship profession through the lens of the Data-Information-Knowledge-Wisdom (DIKW) paradigm. Introduction .......................................................599 Knowledge Autonomy as the Core Characteristic
    [Show full text]
  • Finding Parallels Between Knowledge Creation and Inventory Management
    AD ALTA JOURNAL OF INTERDISCIPLINARY RESEARCH FINDING PARALLELS BETWEEN KNOWLEDGE CREATION AND INVENTORY MANAGEMENT aLUKÁŠ RICHTER company? Many economist and thinkers note, that knowledge is the most important resource of each company. University of Žilina, Faculty of Management Science and Informatics, Department of Management Theories, Univerzitná Nowadays there are many universal models in knowledge 8215/1, 010 26 Žilina management, which should be useful for praxis. But they are email: [email protected] often more theoretical and abstract than ready for application in concrete case. The situation is not even in utilization in This article is supported by Faculty Research Grant of FRI, University of Žilina. inventory management. It can be found many universal models of knowledge creation in contemporary literature. For example: - DIKW model (Data-information-knowledge-wisdom Abstract: According to studies, the total costs related to inventories usually raise to 30- 60% of all company’s operational costs, therefore it is necessary to manage inventory pyramid model), meaningfully. Inventory management deals with complexity and many coordination - Senge’s Learning organization, problems, because inventory is managed by many different people. This fact usually - Nonaka’s SECI model, ‘Ba’ concept and Process model of causes of many problems in company and in supply chain. How is it possible to deal with these complex problems? Company need to improve the learning processes to the knowledge-based firm, foster knowledge creation. Studying knowledge management and utilization of these - Motycka’s Theory of regress ARME spiral, ideas in specific problematic of inventory management can bring competitive - Rona’s and Haslet’s Feedback model of knowledge-creation advantage for company and whole supply chain.
    [Show full text]
  • Role of Knowledge in Management of Innovation
    resources Article Role of Knowledge in Management of Innovation Yury Nurulin 1,* , Inga Skvortsova 2, Iosif Tukkel 1 and Marko Torkkeli 3 1 Institute of Computer Science and Technology, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia; [email protected] 2 Institute of Industrial Management, Economics and Trade, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia; [email protected] 3 School of Engineering Science, Lappeenranta University of Technology, Yliopistonkatu 34, 53850 Lappeenranta, Finland; marko.torkkeli@lut.fi * Correspondence: [email protected]; Tel.: +7-7812-297-1628 Received: 15 March 2019; Accepted: 23 April 2019; Published: 5 May 2019 Abstract: Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process. Keywords: Innovation system; knowledge typology; decision-making; innovation lifecycle 1.
    [Show full text]
  • Download/Repository/Kuhn Structure of Scientific Revolutions.Pdf Kurzweil, R
    Philosophical foundations of the Death and Anti-Death discussion (Forthcoming in Vol. 15, Death And Anti-Death set of anthologies by Ria Press) Jeremy Horne Perhaps there has been no greater opportunity than in this “VOLUME FIFTEEN of our Death And Anti-Death set of anthologies” to write about how might think about life and how to avoid death. There are two reasons to discuss “life”, the first being enhancing our understanding of who we are and why we may be here in the Universe. The second is more practical: how humans meet the physical challenges brought about by the way they have interacted with their environment. Many persons discussing “life” beg the question about what “life” is. Surely, when one discusses how to overcome its opposite, death, they are not referring to another “living” thing such as a plant. There seems to be a commonality, though, and it is this commonality is one needing elaboration. It ostensibly seems to be the boundary condition separating what is completely passive (inert) from what attempts to maintain its integrity, as well as fulfilling other conditions we think “life” has. In our present discussion, there will be a reminder that it by no means has been unequivocally established what life really is by placing quotes around the word, namely, “life”. Consider it a tag representing a bundle of philosophical ideas that will be unpacked in this paper. Each of us in our isolated way since humans have been able to think for themselves has known in advance that their individual existences are limited.
    [Show full text]
  • The Knowledge Pyramid: a Critique of the DIKW Hierarchy
    The Knowledge Pyramid: A Critique of the DIKW Hierarchy Item Type Preprint Authors Fricke, Martin Citation The Knowledge Pyramid: A Critique of the DIKW Hierarchy 2008, Download date 30/09/2021 19:18:35 Link to Item http://hdl.handle.net/10150/105670 The Knowledge Pyramid: A Critique of the DIKW Hierarchy This paper has been accepted for publication in Journal of Information Science and the final (edited, revised and typeset) version of this paper will be published in Journal of Information Science Vol?/Issue?/Year? By SAGE Publications Ltd.. All rights reserved. © CILIP. For more information please visit: http://jis.sagepub.co.uk Martin Frické School of Information Resources and Library Science, The University of Arizona, Tucson, Arizona, AZ 85718, USA Abstract The paper evaluates the Data-Information-Knowledge-Wisdom (DIKW) Hierarchy. This hierarchy is part of the canon of information science and management. The paper considers whether the hierarchy, also known as the ‘Knowledge Hierarchy’, is a useful and intellectually desirable construct to introduce, whether the views expressed about DIKW are true and have evidence in favour of them, and whether there are good reasons offered or sound assumptions made about DIKW. Arguments are offered that the hierarchy is unsound and methodologically undesirable. The paper identifies a central logical error that DIKW makes. The paper identifies the dated and unsatisfactory philosophical positions of operationalism and inductivism as the philosophical backdrop to the hierarchy. The paper concludes with a sketch of some positive theories, of value to information science, on the nature of the components of the hierarchy: that data is anything recordable in a semantically and pragmatically sound way, that information is what is known in other literature as ‘weak knowledge’, that knowledge also is ‘weak knowledge’ and that wisdom is the possession and use, if required, of wide practical knowledge, by an agent who appreciates the fallible nature of that knowledge.
    [Show full text]
  • Demystifying Big Data: Value of Data Analysis Skills for Research Librarians
    Demystifying Big Data: Value of Data Analysis Skills for Research Librarians Tammy Ann Syrek-Marshall, MLS Abstract There was a time when librarians learned statistics solely as a management tool, a way of measuring library usage and materials circulation. More advanced users of statistics might use it in research papers as a metric for in-depth study of patron behavior and bibliographic analysis. At one time, Excel spreadsheets primary use was in managing library budgets or producing attractive graphs for library reports and publications. As for data, it’s no longer enough to simply provide access; the value now is in understanding and interpreting this data. This begins with knowing the difference between small data and big data. Small data is static, a snapshot of a single moment in time. Businesses and other organizations, however, are now eagerly tapping into the predictive power of big data. To fully realize the potential of big data, people who possess certain skill sets are in high demand, making data analytics and data science two of the fastest growing career fields. Depending on the size of the organization, librarians will find themselves called upon to work closely with data analysts. Librarians and researchers who possess even a basic understanding of data analysis are now positioned to competently collaborate with these data professionals. Research librarians with a strong grasp of the methodology and processes of data analysis stand the best chance of expanding their roles within their organizations. To this end, for those who currently have had limited exposure to big data and analytics, it is time to become acquainted with this growing field; to begin the process of expanding research methodology with an understanding of predictive data analysis.
    [Show full text]
  • 123 the Cybercultural Scene in Contemporary
    The Cybercultural Scene in Contemporary Journalism: Semantic Web, Algorithms, Applications and Curation Elizabeth Saad Corrêa 1 Daniela Bertocchi 2 Abstract This paper discusses the different cybercultural aspects within contemporary journalism experiences, mainly from the emergence of the Semantic Web and the technical functionalities that result from it, such as the use of algorithms and applications. We explain the basic concepts of this technical set and it’s correlation to the Communication and Journalism fields particularly. The possibilities of approximation of this scene within journalistic activity are presented due to examples which are already in application with international journalistic markers. We come up with a configuration of the curation role for the professional that will act within this new cybercultural context. Keywords : Cyberculture, Digital Journalism, Semantic Web, Algorithms, Curation Introduction We aim to think communication happens when machines also communicate, especially in the journalistic information context. This concern rises as a result of the recent and increasingly present debates about the development of the Semantic Web (SW), one of Tim Berners-Lee (Bourenane, Szoniecky, &Saleh, 2009) most well-known predictions which now begins to reach it’s stage of consolidation (Adolphs, Cheng, Klüwer,Uszkoreit, & Xu, 2010). From the SW, we are also interested in discussing the debates about the use of Algorithms and Applications (apps) in the journalistic process, exploration which discloses an irreversible trend in the main highlighted essays of the web as (Rabaino, 2011 and Carr, 2011). The SW, apps, algorithms, databases, among other things, are contemporary cybercultural manifestations and change the ways of sociability, therefore, we are faced with another discussion and reflection field, not to say pressing changes.
    [Show full text]
  • Le Strategie Aziendali: Competere E Cooperare
    Dipartimento di Impresa e Management Cattedra di Economia e Gestione delle Imprese Le strategie aziendali: competere e cooperare Prof.ssa Francesca Romana Arduino Matr. Tiziana Lauritano Anno Accademico 2019/2020 1 INDICE Sommario INTRODUZIONE ....................................................................................................................................... 3 CAPITOLO 1: LA STRATEGIA COMPETITIVA .............................................................................................. 5 1.1 COMPETERE EFFICACEMENTE SUL MERCATO .................................................................................................... 5 1.2 I TRE APPROCCI PRINCIPALI ALLA STRATEGIA COMPETITIVA .................................................................................. 9 1.2.1 La leadership di costo ................................................................................................................. 10 1.2.2 La strategia di differenziazione .................................................................................................. 14 1.2.3 La strategia di focalizzazione ...................................................................................................... 17 1.3 L’INFLUENZA DELL’ICT SULL’ELABORAZIONE DELLA STRATEGIA AZIENDALE ........................................................... 21 1.4 I VANTAGGI DELLO SVILUPPO AUTONOMO .................................................................................................... 26 CAPITOLO 2: LA STRATEGIA DI COLLABORAZIONE ................................................................................
    [Show full text]
  • The Significant Role of Metadata for Data Marketplaces
    Proc. Int’l Conf. on Dublin Core and Metadata Applications 2019 The Significant Role of Metadata for Data Marketplaces Sebastian Lawrenz Priyanka Sharma Andreas Rausch Institute for Software and Institute for Software Institute for Software Systems Engineering, and Systems Engineering, and Systems Engineering, Clausthal University of Clausthal University of Clausthal University of Technology Technology Technology sebastian.lawrenz@tu- priyanka.sharma@tu- andreas.rausch@tu- clausthal.de clausthal.de clausthal.de Abstract With the shift to a data-driven society, data trading takes on a completely new significance. In the future, data marketplaces will be equivalent to other electronic commerce platforms such as Amazon or eBay. Just like any other online marketplace a data marketplace is a platform that enables convenient buying and selling of products- in this case “data” Metadata is data about data. Metadata plays a significant role in data trading, as it serves as an orientation for all involved parties in the data marketplace. A seller who wants to sell their data on the marketplace needs metadata to describe the selling offer, and the buyer can use it to search and identify relevant data. This paper outlines the significance of metadata in data trading on a data marketplace and classifies the levels of metadata. Moreover, in data trading metadata has also a significant role in determining the data quality. In this paper we also discuss the role of metadata in terms of data quality. Keywords: metadata; data trading; data marketplaces; data quality 1. Motivation and Introduction In the last decade, data has become more important than ever. An oft-quoted phrase is: “Data are the oil of the 21.
    [Show full text]
  • Can the Knowledge Pyramid Be Used to Focus Business Design on Transformation Through Persona Development?
    Dean 1 Can the Knowledge Pyramid be Used to Focus Business Design on Transformation through Persona Development? Written by William G. Dean, DM, Vice President of Business Administration at NewGround The Knowledge Pyramid, commonly known as the Data-Information-Knowledge- Wisdom hierarchy (Figure 1), proposes a defined progression of data-based information transcending upward, toward the attainment of wisdom. Although wisdom has been studied for centuries, a current application can be posed as the interpolative processes involved in answering “why” questions, using gained knowledge (Hoppe, Seising, Nurnberger, & Wenzel, 2011). Ackhoff (1989) defined wisdom as an elevated knowledge, meaning knowledge is said to answer more difficult questions through moral and ethical codes (Hoppe et al., 2011). Figure 1: Source: Brahmachary, Ayan. “DIKW Model: Explaining the DIKW Pyramid or DIKW Hierarchy, CertGuidance, May 4, 2018, n. p. Web. Dean 2 Reasoning has followed a progressional hierarchy within the Knowledge Pyramid using assumptions that data can be used to create information; information used to create knowledge; and knowledge can be used to create wisdom (Rowley, 2007, p. 164). Many organizations use data and information to develop strategies and business objectives, oftentimes without the focused contribution of knowledge to guide strategic decisions and goal setting using the higher -areas of knowledge and wisdom. Additionally, organizations are not applying the concept of persona development to further guide organizational design and marketing for improved business results. The purpose of this paper is to briefly examine the Knowledge Pyramid and apply its key attributes to persona development that might allow for business transformation in organizations focused on shared behaviors for product or service delivery.
    [Show full text]
  • Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid
    Proceedings of the 51st Hawaii International Conference on System Sciences j 2018 Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid Ronald D. Freeze University of Arkansas – Fayetteville [email protected] Abstract will need 4.4 million jobs by 2015 with only one-third being filled [10], U.S. may face a 50 to 60 percent gap Advances in storage leading to the Internet of in deep analytics talent [11], demand for employees in Things (IOT) and Big Data has exponentially the analytics discipline surpasses the supply [12] only increased the Data aspect of the traditional Knowledge 26 percent of companies feel that their analytics needs Pyramid – Data-Information-Knowledge-Wisdom are met [13] and business schools [need] to develop (DIKW). This paper presents an adaptation of the appropriate business analytics courses and programs Knowledge Pyramid as an Analytics Pyramid in which for all majors [14]. With the rapid expansion and Time is posited to represent Wisdom as the pinnacle availability of data, a push to spend money to create achievement when pursuing knowledge. Analogies of value from the captured data and the recognition that the DIKW are presented from the Analytics Pyramid as greater talent is needed to realize value, the question Description-Aggregation-Modeling-Time. arises on whether the predominant focus on the data is Implementing the premise of the Analytics Pyramid getting in the way of acquiring more knowledge. The focuses on an interative/repetitive movement of both question needs to be asked: How do we create individuals and organizations through all Description- knowledge through analytics, and what, in analytics, Aggregation-Modeling-Time stages in order to build relates to knowledge? and obtain the Wisdom pursued in the traditional The technological advances allowing the storage of Knowledge Pyramid.
    [Show full text]