Scalability of generative knowledge management systems: designing for individuals’ and institutions’ mutual benefit

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Value Chain ◽  
Large Scale ◽  
Design Science ◽  
Science Research ◽  
Disruptive Innovation ◽  
General Purpose ◽  
The Novel ◽  
Content Type ◽  
Prototype Development

Purpose In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base. Design/methodology/approach It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches. Findings The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system. Research limitations/implications Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation. Originality/value In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.

Designing decentralized knowledge management systems to effectuate individual and collective generative capacities

Kybernetes ◽  
2019 ◽  
Vol 49 (1) ◽  
pp. 22-46 ◽  
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Design Science ◽  
Science Research ◽  
Disruptive Innovation ◽  
Management Systems ◽  
Prototype System ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Prototype Development ◽  
Wide Range

Purpose In addressing the future trajectory of knowledge management systems, this paper uses the psycho-social notion of generativity which recently stimulated contributions in technology and innovation for a holistic systemic knowledge management (KM) review. The purpose of this study is to identify current shortcomings and fixations together with their ramifying affordances, all enveloped within a novel KM concept and prototype-system-under-development. Design/methodology/approach It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KM perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with traditional organizational KM approaches. Findings The notions of generative fit and capacities in their technical, informational and social interpretations prove able to accommodate diverse KM models and to cumulatively synthesize a wide range of related concepts and perspectives. In the process, Nonaka’s renowned socialize, externalize, combine, internalize and Ba model is repurposed and extended to suggest a corresponding complementing seize, imbed, collate, encompass, effectuate workflow embedded in distinct digital ecosystems fully aligned to the diversity of the generative attributes introduced. Research limitations/implications Although the prototype development is still in progress, the study conforms to the DSR practice to report on early visions of technology impact on users, organizations and society and also refers to and reflects on aspects of feasibility, suitability, acceptability and the system’s prospect as a general-purpose technology or disruptive innovation. Originality/value The paper transdisciplinarily integrates the well-established psychological notions of generativity into its newer digital and systemic KM dimensions. The resulting new insights transparently inform the concept and prototype design, present a holistic framework for individuals and organizations and suggest avenues for new KM applications and KM research directions inspired by the adopted and adapted novel generativity contexts.

scholarly journals (Neg)Entropic Scenarios Affecting the Wicked Design Spaces of Knowledge Management Systems

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 169
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Information Overload ◽  
Current Knowledge ◽  
Design Science ◽  
Knowledge Workers ◽  
Science Research ◽  
General Purpose ◽  
Management Systems ◽  
Management Approach ◽  
Knowledge Management Systems

The envisioned embracing of thriving knowledge societies is increasingly compromised by threatening perceptions of information overload, attention poverty, opportunity divides, and career fears. This paper traces the roots of these symptoms back to causes of information entropy and structural holes, invisible private and undiscoverable public knowledge which characterize the sad state of our current knowledge management and creation practices. As part of an ongoing design science research and prototyping project, the article’s (neg)entropic perspectives complement a succession of prior multi-disciplinary publications. Looking forward, it proposes a novel decentralized generative knowledge management approach that prioritizes the capacity development of autonomous individual knowledge workers not at the expense of traditional organizational knowledge management systems but as a viable means to foster their fruitful co-evolution. The article, thus, informs relevant stakeholders about the current unsustainable status quo inhibiting knowledge workers; it presents viable remedial options (as a prerequisite for creating the respective future generative Knowledge Management (KM) reality) to afford a sustainable solution with the generative potential to evolve into a prospective general-purpose technology.

scholarly journals Reframing a Novel Decentralized Knowledge Management Concept as a Desirable Vision: As We May Realize the Memex

2021 ◽  
Vol 13 (7) ◽  
pp. 4038
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Design Science ◽  
Critical Mass ◽  
Science Research ◽  
Design Science Research ◽  
The Novel ◽  
Wide Scope ◽  
Invisible Work ◽  
Start Up ◽  
Management Concept

Proposing a major (though envisaged synergetic) shift in the knowledge management (KM) paradigm needs to convince a skeptical audience. This article attempts such a feat and motivates its conceptual considerations by fusing a wide scope of theoretical KM-related foundations in response to current KM unsustainabilities and emerging enabling technologies. The envisioned workflows, infrastructure, affordances, and impact resulting from the progressing design science research and prototyping efforts are consolidated and reframed, guided by a five-step visioneering process and twelve triple-criteria-clusters combining innovative, technological, and vision-related qualities. Inspired by Bush’s “Memex”, a desirable vision never realized since its suggestion three quarters of a century ago, the novel KM system (KMS) pursues the scenario of a mutually beneficial co-evolution between individual and institutional KM activities. This article follows up on the unsatisfactory and unsustainable state of current KM affairs suffering from accelerating information abundance, invisible work, structural interdisciplinary holes, lacking personal tools, and widening opportunity divides. By portraying a potentially transformative and game-changing technology, the crafting and drafting of a desirable, sustainable, and viable KMS vision assures transparency and can be more easily shared with a critical mass of stakeholders as a prerequisite for creating the respective future KM reality. The drafting of the “Desirable Sustainability Vision” is envisaged to assist a currently accepted KMS start-up project and investment.

Customer knowledge management and smart tourism destinations: a framework for the smart management of the tourist experience – SMARTUR

2020 ◽  
Vol 25 (5) ◽  
pp. 1336-1361
Author(s):  
Emerson Cleister Lima Muniz ◽  
Gertrudes Aparecida Dandolini ◽  
Alexandre Augusto Biz ◽  
Alessandro Costa Ribeiro
Keyword(s):  
Knowledge Management ◽  
Design Science ◽  
Science Research ◽  
Structured Interviews ◽  
Customer Knowledge ◽  
Content Type ◽  
Customer Knowledge Management ◽  
Tourist Experience ◽  
Tourism Destinations ◽  
Smart Tourism

Purpose This paper aims to demonstrate how customer knowledge management (CKM) can assist destination management organizations (DMOs) in the smart management of the tourist experience to contribute to the creation of smart solutions and the promotion of smart tourism destinations (STDs). To accomplish it, a CKM conceptual framework aligned with smart tourism and composed of eight processes is developed to guide managers in this management. Design/methodology/approach This research adopts the design science research methodology and applies its steps. It was supported by a systematic integrative literature review on CKM models and frameworks and their main elements, as well as by semi-structured interviews with tourism specialists in the context of Santa Catarina, Brazil. Findings From the literature it appears that tourist experiences are customer knowledge essential to the improvement and innovation of tourism products and services, and that CKM, still little explored in this scenario, tends to contribute to the management of this crucial knowledge for smart tourism. The analyses and improvements to the structure developed by specialists show its applicability and contributions to the management of STD experiences. Originality/value This paper offers an original contribution to the integration of the theoretical constructs of CKM, tourist experience and STDs by showing how the CKM, from tourism experiences, technologies and social networks, can assist DMOs in the management of experiences and promotion of STDs.

Big data investments in knowledge and non-knowledge intensive firms: what the market tells us

2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Stock Market ◽  
Value Chain ◽  
Stock Prices ◽  
Economic Value ◽  
Information Value ◽  
Publicly Traded ◽  
Content Type ◽  
Knowledge Intensive

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

A barrier diagnostic framework in process of digital transformation in higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bayu Rima Aditya ◽  
Ridi Ferdiana ◽  
Sri Suning Kusumawardani
Keyword(s):  
Higher Education ◽  
Process Model ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
Digital Transformation ◽  
Successful Implementation ◽  
Content Type ◽  
Systematic Understanding ◽  
Diagnostic Framework

PurposeExisting literature has reported a barrier list that could affect the implementation of digital transformation in higher education, yet the research question of how to identify barriers remained unanswered. Thus, this study intended to address this gap.Design/methodology/approachThe research design adopted a mixed-methods approach based on the problem-centered design science research (DSR) process model for the development and evaluation of framework.FindingsThis study proposed a systematic framework of three sets of components: (1) the initial set of barriers; (2) the barrier rating scheme and (3) the barrier scoring matrix. The three-component of the framework is to identify and prioritize barriers to the successful implementation of digital transformation in higher education.Research limitations/implicationsThe evaluation of the framework was only based on an expert opinion.Practical implicationsThis study provided a direction to the policymakers for designing sensible strategies to increase the chances of a successful digital transformation in higher education.Originality/valueThis study contributes to the knowledge body by offering a more systematic understanding of barriers to digital transformation in higher education.

Sales and operations planning for new products: a parallel process?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gustavo Bagni ◽  
Juliana Keiko Sagawa ◽  
Moacir Godinho Filho
Keyword(s):  
Design Science ◽  
Contextual Factors ◽  
New Products ◽  
Science Research ◽  
Operations Planning ◽  
Content Type ◽  
Demand Fulfillment ◽  
Viable Solution ◽  
Additional Costs ◽  
Update Frequency

PurposeThis paper aims to detail how a Sales and Operations Planning (S&OP) process can be designed to support the planning requirements of recently introduced products.Design/methodology/approachDesign science research was conducted to propose and implement an S&OP model for demand fulfillment after the introduction of new products. The results were analyzed using the CIMO (Context, Intervention, Mechanisms and Outcomes) logic, and two sets of design propositions were formulated.FindingsAn S&OP process for new products can reduce additional costs for market fulfillment by concentrating the planning efforts on new products, aligning organizational efforts, and increasing the sales and supply chain information’s update frequency.Research limitations/implicationsThe outcomes of S&OP new products were analyzed in a single organization and are limited to the contextual factors presented.Practical implicationsThis paper describes in detail how to organize an S&OP focused on new products. By considering the contextual factors and design propositions, managers can potentially increase the success of new products introduction (NPI) in their context.Originality/valueA specific S&OP process focused on new products is a viable solution and could co-exist with a traditional S&OP process. Moreover, we identified six contextual factors that influence the outcomes of the S&OP new products.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

scholarly journals From Ignorance Map to Informing PKM4E Framework: Personal Knowledge Management for Empowerment

10.28945/3984 ◽  
2018 ◽  
Keyword(s):  
Knowledge Management ◽  
Design Science ◽  
Knowledge Workers ◽  
Rapid Development ◽  
Science Research ◽  
Knowledge Bases ◽  
Personal Knowledge ◽  
Future Research ◽  
Development Platform ◽  
Personal Knowledge Management

Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] The proposed Personal Knowledge Management (PKM) for Empowerment (PKM4E) Framework expands on the notions of the Ignorance Map and Matrix for further supporting the educational concept of a PKM system-in-progress. Background: The accelerating information abundance is depleting the very attention our cognitive capabilities are able to master, one key cause of individual and collective opportunity divides. Support is urgently needed to benefit Knowledge Workers independent of space (developed/developing countries), time (study or career phase), discipline (natural or social science), or role (student, professional, leader). Methodology: The Design Science Research (DSR) project introducing the novel PKM System (PKMS) aims to support a scenario of a ‘Decentralizing KM Revolution’ giving more power and autonomy to individuals and self-organized groups. Contribution: The portrayal of potential better solutions cannot be accommodated by one-dimensional linear text alone but necessitates the utilization of visuals, charts, and blueprints for the concept as well as the use of colors, icons, and catchy acronyms to successfully inform a diverse portfolio of audiences and potential beneficiaries. Findings: see Recommendation for Researchers Recommendations for Practitioners: The PKM4E learning cycles and workflows apply ‘cumulative synthesis’, a concept which convincingly couples the activities of researchers and entrepreneurs, and assists users to advance their capability endowments via applied learning. Recommendation for Researchers: In substituting document-centric with meme-based knowledge bases, the PKMS approach merges distinctive voluntarily shared knowledge objects/assets of diverse disciplines into a single unified digital knowledge repository and provides the means for advancing current metrics and reputation systems. Impact on Society: The PKMS features provide the means to tackle the widening opportunity divides by affording knowledge workers with continuous life-long support from trainee, student, novice, or mentee towards professional, expert, mentor, or leader. Future Research: After completing the test phase of the PKMS prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months.

scholarly journals Devising Enabling Spaces and Affordances for Personal Knowledge Management System Design

10.28945/3744 ◽  
2017 ◽  
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Personal Growth ◽  
Design Science ◽  
Rapid Development ◽  
Science Research ◽  
Personal Knowledge ◽  
Prototype System ◽  
Development Platform ◽  
Personal Knowledge Management ◽  
Nosql Database

[This Proceedings paper was revised and published in Informing Science: the International Journal of an Emerging Transdiscipline (InfoSci)] Aim/Purpose: Personal Knowledge Management (PKM) has been envisaged as a crucial tool for the growing creative class of knowledge workers, but adequate technological solutions have not been forthcoming. Background: Based on former affordance-related publications (primarily concerned with communication, community-building, collaboration, and social knowledge sharing), the common and differing narratives in relation to PKM are investigated in order to suggest further PKM capabilities and affordances in need to be conferred. Methodology: The paper follows up on a series of the author’s PKM-related publications, firmly rooted in design science research (DSR) methods and aimed at creating an innovative PKM concept and prototype system. Contribution: The affordances presented offer PKM system users the means to retain and build upon knowledge acquired in order to sustain personal growth and facilitate productive collaborations between fellow learners and/or professional acquaintances. Findings: The results call for an extension of Nonaka’s SECI model and ‘ba’ concept and provide arguments for and evidence supporting the claims that the PKM concept and system is able to facilitate better knowledge traceability and KM practices. Recommendations and Impact on Society: Together with the prior publications, the paper points to current KM shortcomings and presents a novel trans-disciplinary approach offering appealing opportunities for stakeholders engaged in the context of curation, education, research, development, business, and entrepreneurship. Its potential to tackle opportunity divides has been addressed via a PKM for Development (PKM4D) Framework. Future: DSR Activities After completing the test phase of the prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months.

Sign in / Sign up

Export Citation Format

Share Document