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Taxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of 'ad-hoc' taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy rese...
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The present study analyzes aspects of the application of the Design Science Research (DSR), identifies the problem classes, as well as the contributions and limitations in the implementation of the method in the various areas and subareas of Industrial Engineering. The research uses the method of systematic literature review through a review of art...
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... Current research on classification methods encompasses biological taxonomy, morphological classification, and information systems classification including, for instance, a method tailored for information systems classification (Nickerson et al. 2013;Kundisch et al. 2022). Chen et al. (2022) proposed an innovative method for automatically merging multiple source classifications into a target classification, addressing the complexities associated with multiple inheritance issues. ...
The classification of Mortise and Tenon (MT) joints is vital, as it enables standardized terminology, facilitates comparative analysis, and enhances understanding of construction techniques across a variety of applications including the design, manufacturing, and management of wood products. Although the classification of MT joints is crucial, current research in this area lacks a systematic approach. The study adopts a morphological composition paradigm to investigate MT joints. This study introduces a 6-level classification index hierarchy for MT morphology, employing methods from biological classification and arithmetic cross-method coding. By encoding joint features and morphological composition, the study delineates 352 possible joint types and 1056 theoretical compositions across dimensions, elucidating diverse structural logics and aiding comprehension. Next, a feasibility typicality assessment identifies 198 typical and 310 atypical morphological types, presented clearly in graphical form. Validations are conducted through analysis of 2654 research cases, which are encoded according to the index hierarchy, thereby affirming the scientific validity and practical utility of the classification system.
... A taxonomy consists of several dimensions made up of (usually) mutually exclusive (m) and exhaustive characteristics. We incorporated dimensions from the literature and derived dimensions from pricing algorithms presented in the literature as well as from our analysis of pricing tools (Szopinski et al., 2019;Kundisch et al., 2022). As the objective of our taxonomy is the description and comparison of pricing algorithms applied in retail as the object under consideration (Gregor, 2006), we formulated the following meta-characteristic: description of pricing algorithms in retail. ...
... Despite mutual exclusivity as an objective ending condition, several characteristics may be simultaneously fulfilled in selected dimensions (n). These combinations form an additional characteristic in the formal taxonomy tuples that are not represented for reasons of graphical simplification (Wulfert et al., 2021;Kundisch et al., 2022). In total, the taxonomy development process took five iterations with the first two involving the conceptual-to-empirical approach and the latter three using the empirical-to-conceptual approach. ...
The price is the most important determinant for product sales and is highly influential for a company's success. Nevertheless, price determination often follows individuals' rules of thumb augmented with product and economic performance indicators. With the increasing dissemination of artificial intelligence in organizations and society, the accuracy of price determination in retail might be enhanced by sophisticated pricing algorithms. Technological developments further increase the number of pricing algorithms and pricing tools available. Against this backdrop, we applied Nickerson et al.'s (2013) approach, proposing a taxonomy for describing pricing algorithms in retail. The taxonomy consists of 19 dimensions and 59 characteristics. Analyzing 70 pricing tools revealed a high specialization for selected retail domains, a focus on competitor monitoring and dynamic pricing, and a minor use of current machine learning techniques. This is a first attempt at structuring pricing algorithms and developing a price management toolbox that constructs artificial intelligence-enabled pricing algorithms.
... To answer this RQ, we conduct a systematic literature review (Bandara et al., 2015) to identify ICSA and analyze 61 scientific papers in combination with 30 real-world applications as a foundation to build and evaluate our main artifact, a taxonomy (Kundisch et al., 2022). Our contributions are twofold: First, we conceptualize an emerging class of socio-technical artifacts, namely ICSA. ...
... Taxonomies help to classify objects according to their similarities and differences, and thus enable researchers and practitioners to describe, understand, and analyze phenomena of interest (Nickerson et al. 2013), here ICSA. We employed the taxonomy design process and the design recommendations from Kundisch et al. (2022). This design research-driven approach contains 18 steps, which we describe below along with four clusters: identify and motivate the problem (steps 1-3), define objectives of a solution (steps 4-5), design and development (steps 6-10), demonstration and evaluation (steps 11-17), and communication (step 18). ...
... Besides the overall positive recognition, we collected some potential for improvement, which led to refinements of the taxonomy (see Table 2). We performed the following revision operations (Kundisch et al., 2022) as a direct result of the expert feedback: adding new (e.g., more meta-dimensions to add clarity), renaming (e.g., patient to care recipient), swapping (e.g., putting 'wellbeing & self-care' as the first support purpose), splitting (e.g., health into physical, mental and social health), merging (e.g., 'friends and neighbours'), promoting to a higher abstraction layer (e.g., intervention from dimension to meta-dimension), and demoting to a lower abstraction layer (e.g., funding/finances from dimension to characteristic in support purpose). Table 2. ...
Aging populations are straining many healthcare systems worldwide. The demographic shift leads to higher morbidity and consequently higher care dependency. To respond to a growing shortage of healthcare professionals, non-professional care that is often carried out by family and friends serves as a solution. While digital healthcare applications for informal care are promising to alleviate caregiver burden and enable continuity of care, there is limited understanding of how to design them. Against this backdrop, we analyzed 61 scientific papers and 30 real-world applications to arrive at a taxonomy for informal caregiving support applications (ICSA). Our paper contributes to the body of knowledge by providing a structured overview of ICSA design options as well as assisting researchers and practitioners in making informed reflections about how to design such applications.
... This need for multiple selections of characteristics per dimension is not unique to our study, as it has been expressed in related business model research (Anton et al., 2021). Some studies, such as Kundisch et al. (2021) and Oberländer et al. (2019) consider iterative revisions of the taxonomy as an integral part of the development process and not as an actual evaluation. However, others, such as Anton et al. (2021), view evaluations as beginning earlier in the process. ...
Recently, the looming bankruptcy of Credit Suisse, which ultimately led to its merger with UBS, has intensified the discussion surrounding the need for more transparent and democratic financial markets. Decentralized finance (DeFi) represents a departure from traditional financial intermediation by leveraging blockchain technology and smart contracts. Despite its growing importance, limited research has been conducted on the business models of DeFi services. This study aims to address this gap by examining the business models of various DeFi services, identifying key drivers of innovation, differentiation, and value creation. Using a rigorous taxonomy development framework, we identify 12 dimensions and 47 characteristics that operationalize business models in DeFi. Our findings contribute to a better understanding of the transformation of financial services through blockchain technology and provide valuable insights for DeFi entrepreneurs, investors, and policymakers.
... One of the most commonly used method in information systems research is the taxonomy development method by Nickerson et al. [2013] [22]. Several barriers and improvement areas of the method have been discussed in a recent paper by Kundisch et al. [2021]. One method restriction that limited its applicability for this particular research was that it prohibits any framework from having two distinct characteristics within a single dimension [21]. ...
In the last decade, various scalable agile frameworks have emerged to scale the benefits of agility to wider organizational levels and have become increasingly popular in practice. However, the variety of frameworks has not been widely understood yet. The aim of this paper is to provide a well-organized understanding of the primary dimensions and characteristics of these frameworks. To this end, a taxonomy for scaling agile frameworks was created utilising a systematic method for taxonomy development. The basis for the formal and content-related creation of the taxonomy is a systematic and focused literature review, followed by a qualitative text analysis to extract key framework characteristics, concentrating on the four agile scaling frameworks Scaled Agile Framework, Large-Scale Scrum, Disciplined Agile Delivery and Scrum@Scale. For the validation of the proposed taxonomy, an exemplary categorisation of 2 frameworks in the taxonomy was performed. CCS CONCEPTS • Software and its engineering • Software creation and management • Software development process management • Software development methods • Agile software development
... This multi-dimensional taxonomy, proposed by Rodrigues et al. in 2023, is one of the latest HRI taxonomies tailored to the AEC context and has improved upon many existing models [64]. However, a few modifications are needed to convert such a taxonomy towards a design space, i.e., moving from classifications that ''identify and structure characteristics and dimensions'' to describe phenomena [65] towards focusing on ''design artefacts'' anchored in a particular problem space [66]. ...
Recent advancements in robotics and human–machine interfaces enable new collaborative procedures that combine the strengths of machines and humans. Compared to existing automation technologies in the timber prefabrication industry, human–robot collaboration (HRC) offers new possibilities for increased flexibility and productivity. This paper aims to map out the challenges and opportunities for HRC within the context of timber prefabrication by constructing a conceptual framework. The framework is based on three pillars: (1) existing HRC theories and frameworks, (2) a literature review of HRC research in robotic timber fabrication, and (3) perspectives of human labour in the timber construction industry. The relevant topics among these three areas are triangulated to construct a conceptual framework that bridges the system-, design-, and human-centred considerations. The framework serves as an organising device to support future explorations and research on human–robot collaboration in robotic timber construction.
... In pursuing to answer this, we followed a systematic approach to building and evaluating a taxonomy (Kundisch et al., 2022). A taxonomy aids in organizing a corpus of information that makes up a field and provides an adequate method for formulating conceptual knowledge (Glass & Vessey, 1995). ...
... To design our taxonomy, we adapted the method proposed by Kundisch et al. (2022), which extends Nickerson et al. (2013)'s method and integrates it into a broader framework of Peffers et al. (2007)'s DSR method. This adaptation aligns with the principles of design science research (Hevner et al., 2004). ...
... This adaptation aligns with the principles of design science research (Hevner et al., 2004). Following the approach outlined by Kundisch et al. (2022), we initially formulated the problem situation and outlined our research objectives, including the meta-characteristics that define the purpose of the taxonomy. Our taxonomy design involved iterative iterations using two distinct approaches: "conceptualto-empirical" and "empirical-to-conceptual." ...
Data spaces are a novel data management approach to collect large-scale heterogeneous data distributed over various data sources in different formats. To access these data spaces, users require so-called connectors to ensure technical compliance (e.g., usage control policies) and ensure that users play by the 'same rules'. While connectors are a critical component of data spaces and receive considerable attention in politics, practice, and research, there is still no shared understanding of what constitutes a connector. To address this gap, we analyzed 23 connector use cases, diverse types of practitioner literature (n = 14), 25 scientific papers, and a workshop with five experts to extract the characteristics of connectors. We synthesized our findings into a taxonomy that integrates insights from the conceptual and empirical analysis and illustrated it by classifying two connectors. Our paper contributes to our understanding of this novel artifact, which has implications for future businesses.
... Zur Erstellung des Artefakts wird dieses, gemäß vom Brocke et al. (2020), im Problem-und Lösungsraum eingebettet. Prozessual wird auf den Ansatz von Peffers et al. (2007) zurückgegriffen, welcher mittels des ETDP von Kundisch et al. (2022) umgesetzt wird. Der ETDP baut auf den Erkenntnissen von Nickerson et al. (2013) auf und bietet durch zusätzliche Design-Empfehlungen eine erhöhte Konsistenz und Transparenz. ...
... Das Vorgehen erfolgt dabei in einer iterativen Form, wobei für jede der Design-Iterationen spezifische Eintritts-bzw. Austrittskriterien definiert werden, um die Taxonomie abschließend zu verfeinern (Kundisch et al. 2022 Um der Rigorosität Rechnung zu tragen wurden Datenbanken ausgewählt, die aufgrund ihres thematischen Fokus das Forschungsfeld am besten abdeckten. Die ergiebigsten Ergebnisse wurden mit dem Suchbegriff "Chief Digital Officer" mit Vorkommnis entweder im Titel, im Abstract oder als Keyword erzielt. ...
Zusammenfassung
Die Anforderungen an einen Chief Digital Officer (CDO) unterliegen Veränderungen und die Ausgestaltung dieser Rolle nimmt je nach organisationaler Struktur eine unterschiedliche Bedeutung an. Die CDO-Rollentaxonomie dient Unternehmen als nützliches Werkzeug, um die Integration dieser Rolle in die organisatorischen Gegebenheiten zu vollziehen und die erforderlichen Kompetenzen und Aufgabenbereiche (zum Beispiel bei der Neuausschreibung des Profils) festzulegen. Die Taxonomie basiert auf dem adaptierten Extended Taxonomy Design Process (ETDP). Dies ermöglicht einen zugleich wissenschaftlich basierten und praxisorientierten Blick auf die benötigten Kompetenzen eines CDOs im Kontext der Digitalen Transformation.
Aufbauend auf einer Literature Review wurden Dimensionen und Charakteristiken, gemäß den initialien Meta-Charakteristiken, den Managerrollen von Mintzberg, geclustert. In drei Iterationszyklen wurde die Taxonomie erarbeitet und mit Erkenntnissen aus Stellenbeschreibungen ergänzt. Die Evaluierung erfolgte durch Interviews mit Praktikern aus dem Executive Search Bereich.
Der wissenschaftliche Praxisbeitrag macht die CDO-Rolle mittels einer Taxonomie, die mit vier Meta-Charakteristiken, neun Dimensionen und insgesamt 26 spezifischen Charakteristiken ausgestaltet ist, fassbar. Die einzelnen Charakteristiken sind dabei den Meta-Ebenen organisatorisch, entscheidungsrelevant, interpersonell und informativ zugeordnet, was eine strukturierte und zielorientierte Rollendefinition erleichtert.
... To achieve our objective, we reviewed 83 IoT testing-related primary studies (PSs) selected from 8 digital libraries. We follow the guidelines proposed in [15]- [17]. We improved the proposed taxonomy by conducting a survey with IoT practitioners. ...
... To provide this holistic view and reduce ambiguity as well as competing characterisations, we structure a multitude of characteristics of Digital Labour Platforms that have been explored in previous research. More precisely, we develop a taxonomy following the methodology by Kundisch et al. (2022). The synthesised taxonomy, iteratively constructed in three cycles, consists of 13 dimensions and 36 characteristics embellished with characteristics of 51 analysed Digital Labour Platforms and concepts from literature. ...
... This paper's taxonomy development is guided by Kundisch et al. (2022) which is an extension of Nickerson et al. (2013) method for taxonomy development. Therefore, we follow a design science paradigm (Szopinski et al. 2019). ...
... Therefore, we follow a design science paradigm (Szopinski et al. 2019). Furthermore, we specified the target user group and the intended purpose of the taxonomy as recommended by Kundisch et al. (2022). In this paper, we utilized the user (client and producer) oriented components of the platform canvas (Allweins et al. 2021) as metacharacteristics. ...
The importance of digital labour platforms as brokers for digital labour has grown in recent years. Despite some efforts that categorise sub-areas of the gig economy and digital labour platforms, there is yet to be an established generalised view on the characteristics to drill down into related topics. To provide this holistic view and reduce ambiguity as well as competing characterisations, we structure a multitude of characteristics of Digital Labour Platforms that have been explored in previous research. More precisely, we develop a taxonomy following the methodology by Kundisch et al. (2022). The synthesised taxonomy, iteratively constructed in three cycles, consists of 13 dimensions and 36 characteristics embellished with characteristics of 51 analysed Digital Labour Platforms and concepts from literature. We furthermore demonstrate the taxonomy on three exemplary platforms and highlight how existing taxonomies relate to our proposed characterisation and artefact.
