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Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection within the design process based on specific situations. Consequently, design novices with limited design knowledge face challenges when determining suitable methods. Thus, this paper aims to support design novices by guiding the situational selection of design methods.

Our research approach includes two phases: i) we adopted a taxonomy development method to identify dimensions of design methods by reviewing 292 potential design methods and interviewing 15 experts; ii) we conducted focus groups with 25 design novices and applied fuzzy-set qualitative comparative analysis to describe the relations between the taxonomy's dimensions.

We developed a novel taxonomy that presents a comprehensive overview of design conditions and their associated design methods in innovation processes. Thus, the taxonomy enables design novices to navigate the complexities of design methods needed to design digital innovation. We also identify configurations of these conditions that support the situational selections of design methods in digital innovation processes of user interface design.

The study’s contribution to the literature lies in the identification of both similarities and differences among design methods, as well as the investigation of sufficient condition configurations within the digital innovation processes of user interface design. The taxonomy helps design novices to navigate the design space by providing an overview of design conditions and the associations between methods and these conditions. By using the developed taxonomy, design novices can narrow down their options when selecting design methods for their specific situations.

This paper reports on a taxonomy design project involving graduate students in information science (MLIS degree) working as intern-consultants under the guidance of an information science faculty member. The consulting team developed a taxonomy that would reflect current academic departmental structures and be used to optimise publisher tools for generating metrics and interpretive assessment.

In this case study, three students worked under the direction of a faculty member on a consulting team for a Silicon Valley company that provides business analytics to academic publishers. Tasked with designing a taxonomy of disciplinary knowledge to support the company’s analytical software tools, the students developed methods for environmental scans, vocabulary design, validation and taxonomy management for the project objectives.

The consulting experience proved to be highly beneficial for the students as an opportunity to take concepts learned in their coursework and apply them in practice. The project team delivered to the company the most detailed taxonomy of academic disciplines in the marketplace, along with recommendations for its maintenance and management for ongoing support of business objectives. The company was supportive throughout the internship programme, generating collaborative contributions from all stakeholders.

As more students earning an Master of Library and Information Science (MLIS) or similar degree move into a wide array of careers within business environments, internship experience through consulting can be an essential advantage to their preparation.

The reuse of timber building parts, when designing new buildings, has become a topic of increasing discussion as a proposed circular solution in support of sustainable development goals. Designers face the difficulty of identifying and applying different design strategies for reuse due to multiple definitions, which are used interchangeably. The purpose of this study is to propose a taxonomy to define the relationships between various concepts and practices that comprise the relevant strategies for reuse, notably design for disassembly (DfD) and design for adaptability (DfA).

Literature reviews were conducted based on research publications over the previous 12 years and located through the Web of Science and Scopus.

A taxonomy for the design process grounded on two strategies for reuse is presented: DfD and DfA. Based on previous work, the taxonomy aims to build a vocabulary of definitions in DfD and DfA to support other researchers and practitioners working in the field.

The research is limited to the design phase of timber-based buildings. It does not take into account the other phases of the construction process, neither other kind of construction methods.

The application of the taxonomy can facilitate communication between different actors and provide a way for building product manufacturers to demonstrate their reuse credentials, enabling them to produce and promote compliant products and thereby support design for reuse strategies.

This paper could contribute to a closer collaboration of all stakeholders involved in the building process since the very early phases of the conceptual design.

This paper contributes a comprehensive taxonomy to support the deployment of circular reuse strategies and assist designers and other stakeholders from the earliest of phases in the building’s life cycle. The proposed definition framework provided by the taxonomy resolves the longstanding lack of a supporting vocabulary for reuse and can be used as a reference for researchers and practitioners working with the DfD and DfA.

The purpose of this paper is to examine the potential for eXtensible Business Reporting Language (XBRL) to go beyond static reporting. A taxonomy structure of information is developed for providing a knowledge base and insights for an XBRL taxonomy for integrated reporting (IR).

Design Science (DS) research, as a pragmatic exploratory research approach, is embraced to create a new “artefact” and thematic content analysis is used to analyse IR in practice.

Using XBRL for IR allows a shift from static and periodic reporting to more relevant and dynamic corporate disclosure for stakeholders, who can navigate and retrieve customised disclosure information according to their interest by exploiting the multidimensionality of IR and overcome some of its criticisms. The bi-dimensional taxonomy structure the authors’ present allows users to navigate disclosure from two different perspectives (content elements (CE) and capitals), display specific themes of interest, and drill down to more detailed information. Because of its evidence-based nature and levels of disaggregation, it provides flexibility to preparers and users of information. Additionally, the findings demonstrate the need to codify sector-specific information for the CE, so that to direct the efforts toward the development of sector-specific taxonomy extensions in developing an XBRL taxonomy for IR.

The limitations of DS research are, first, the artefact design and, second, its effects in practice. The first limitation stems from the social actors’ perspective taken into account to develop the taxonomy structure, which derives from the analysis of the reporting practices rather than a pluralistic approach and dialogic engagement. The second limitation relates to the XBRL taxonomy development process because, since the study is limited to the “design” phase being codification and structuring the knowledge base for an XBRL taxonomy, there is a need to develop a taxonomy in XBRL and then apply it in practice to empirically demonstrate the potential and benefits of XBRL in the IR context.

The taxonomy structure is targeted at entities interested in designing an XBRL taxonomy for IR. This is a call for academics and practitioners to explore the potential of technology to improve corporate disclosure and open up new projections for resurging themes on intellectual capital (IC) reporting with prospects for IC “fourth-stage” research focused on IC disclosure.

This is an interdisciplinary research employing the DS approach, which is rooted in information systems research. It is the first academic study providing pragmatic results for using XBRL in the context of IC and IR.

The purpose of this paper is to present an information model (ontology) for design‐for‐manufacturing (DFM) problems, where parts are to be manufactured using an additive manufacturing process. DFM problem formulation is often challenging since the formulation step requires both design and manufacturing process knowledge. The ontology also captures some relationships that model how that manufacturing knowledge applies to part designs. The ontology is implemented and serves as a repository of DFM problems that are available for reuse.

The ontology is encoded using a description logic (DL) known as ALE. Using this ontology, a designer can retrieve archived DFM problems that are similar to a problem being formulated. DLs are a subset of first‐order logic that have been used for information modeling in several application areas, including engineering information management. They are used typically to construct classification hierarchies that can be efficiently searched.

The paper demonstrates that the DL model is correct by showing that the classification hierarchies that are computed match our DFM ontology. Retrieval of DFM problems is demonstrated using a prototype implementation of our ontology. Examples are taken from the area of design for manufacture using the stereolithography process.

The domain of the ontology is limited to additive manufacturing processes. Only DFM problems related to the determination of design parameters (e.g. dimensions) were within the scope of this work.

No ontology for DFM problems has been presented previously. Implementation of the ontology using DL is also original.

This research has the potential to contribute to the understanding of the sustainable ground handling operations framework. Ramp operations as the main system of ground handling include critical services for aircraft/airlines. The purpose of this study is to identify the risk factors in ramp operations for all related stakeholders’ awareness to enhance flight safety. Classifying risk factors, the four main performance fields under risk taxonomy is determined. Thus, managers may allocate resources effectively to handle related threats for corporate sustainability.

New taxonomy with human performance value indicators, which sources from the environment is developed. New developed taxonomy is entitled as “environmental value approach,” which represents environmental value-based approach. The developed new risk factors taxonomy is divided into groups such as ramp personnel, organizational, sustainability-based risk factors: triple view and ergonomics obtained from an extensive literature review and experts’ opinions in the field of human performance.

The findings of this research show that managers need a risk management-oriented approach to manage the human factor affecting performance and sustainability. The newly developed taxonomy offers not only identifying the sources of unsafe operational risk factors but also using as a decision-support tool to manage risks for achieving their sustainability goals. When managerial decisions are made according to risk taxonomy and managing these risks, then corporate performance and individual performance may improve.

The new taxonomy presents the performance-based management of the human factor with a holistic and systematic risk management-based approach. There is no risk taxonomy study designed considering ramp operations and sustainability-based human factor performance.

The purpose of this paper is to propose a method to aid design practitioners and students towards the design of additive manufactured products or parts produced using laser sintering (LS).

A design feature taxonomy was first developed as a guide for the development of a computer‐based design support tool. It comprised four taxons based on the reasons for utilising additive manufacturing (AM). These were user fit requirement, improved product functionality, parts consolidation and improvement of aesthetics or form. Each of the requirements was further expanded into 13 sub‐categories that contained examples of various design features that was then represented in the form of an MS Access database.

Results from user trials of the database provide evidence to show the potential of the database, as it enables users to easily visualise and gather information about AM design features.

The paper describes a database, the aim of which is to serve as a collective source of information for design features produced by AM and as a method to aid the conceptual design process of AM parts or products.

The purpose of this paper is to provide an examination of emotional experiences, particularly how they are situated in the readers’ advisory (RA) literature and the literatures from a variety of outside disciplines in order to create taxonomies of affect from this context.

The approach of this study is twofold. First, this work reviews the literature on affect in Library and Information Science (LIS) and ancillary disciplines in order to understand the definition of affect. Second, using extant taxonomies and resources noted from the literature review, taxonomies are created for three aspects of affect: emotions, tones, and associations.

This paper contextualises and defines affect for the LIS discipline. Further, a result of the work is the creation of three taxonomies through an RA lens by which affective experiences can be classified. The resulting three taxonomies focus on emotion, tone, and associations.

The taxonomies of emotion, tone, and associations can be applied to the practical work of bibliographic description, helping to expand access and organisation through an affective lens. These taxonomies of affect could be used by readers’ advisors to help readers describe their desired reading experiences. As the taxonomies have been constructed from an RA perspective, and can be applied to the RA literature, they could expand the understanding of RA theory, especially that of appeal.

This study furthers the exploration of affect in LIS and provides tangible taxonomies of affect for the LIS discipline in an RA context, which have not been previously produced.

There is a lack of efficiency when dealing with information and searching for the right content. Aims to present a procedural model which in essence is a generalized approach to terminology management, with which to build and maintain glossaries and taxonomies.

In addition to an extensive literature review, analysis of three action research cases with several corporate partners is presented. The first case focuses on the introduction of a glossary for a Swiss insurance company. The second illustrates the results from setting up a corporate taxonomy at an international professional services firm. The third case combines glossary and taxonomy for document classification and retrieval.

Glossary and taxonomy are suitable for solving a wide range of terminological defects. Usage and maintenance processes play a central role in the management of terms and should be well defined. Only a well‐suited trade‐off between centralized and decentralized terminology management will be sustainable.

Other means besides clearly defined processes have to be defined to clearly eliminate certain issues. Furthermore, there is the question of whether the implementation of terminology management could benefit certain types of companies in certain industry branches more than others.

Concrete actions that have to be taken into consideration when introducing glossary and taxonomy systems.

Proposes a procedural model for the introduction of glossary and taxonomy as well as the cultivation of a corporate terminology.

The objective of this paper is to propose a taxonomy of sustainability communication (SC) topics that provide digital content managers with a guide for setting a sustainability content agenda and for fostering stakeholder engagement mechanisms on environmental, social and economic issues that increasingly characterize conversations on social media of all stakeholder groups.

Taxonomy is a conceptual and qualitative way used to classify and represent the corporate sustainability (CS) domain of knowledge. The taxonomy categories of SC topics are both theoretically and empirically derived, combining an in-depth literature review with a thematic content analysis of 300 web pages of the corporate websites of the top ten sustainable brands selected in “The 2019 GlobeScan-SustainAbility Leaders Survey.”

The analysis of the results led to the construction of a hierarchical dictionary of tags that categorizes all sustainability topics based on a new, four-dimensional conceptual structure: planet, people, profit and governance. Each dimension is organized in four groups of sustainability themes, which, in turn, group multiple topics, considered the smallest communication unit to develop the SC content.

The taxonomy provides a concise and immediate conceptual framework on all those topics of broader interest, which, suitably modulated, can act as touch points with several groups of stakeholders. Drawn upon the best practices of thematic organization of SCs via the web, the taxonomy represents a guide for programming an editorial plan based on environmental, social, economic and governance issues from a sustainability content marketing perspective. The taxonomy of sustainability topics also finds application as a framework for a content intelligent system, providing a dictionary of tags that can be used for the indexing and retrieval of SC web content.

The study represents the first attempt at reaching a taxonomic organization of the sustainability aspects from a communicational perspective, supporting a new way of thinking and managing SC in the digital realm. Moreover, the results highlight, for the first time, that the Triple Bottom Line (TBL) theory, applied to corporate communications, lacks the governance aspect, which is essential to pursue sustainability consistently and effectively.