Search results

The study set out to determine: (1) what were the searching characteristics of end users in a non‐academic environment and explain this in the light of their information needs; (2) whether these characteristics were those that were ascribed to end users in the professional literature; (3) whether they differed materially from those of information professionals working in the same fields. Searching characteristics were interpreted in their widest sense to include: command utilisation/knowledge; search success and satisfaction; volume of searching; searching style/ approach; duration of searches; file selection; willingness to delegate and levels of training. These issues were explored in relation to two practitioner groups — journalists from The Guardian newspaper, and politicians from The House of Commons. Comparative data were also sought from information professionals in these two organisations. A mixture of social and statistical methods was used to monitor end‐user and professional searching, though transactional log analysis was strongly featured. Altogether the searching behaviour of 170 end users was evaluated in the light of the searching behaviour of seventy librarians. The principal findings were that: in some respects end users did conform to the picture that information professionals have of them: they did search with a limited range of commands; more of their searches produced no results, and search statements were simply constructed. But in other respects they confounded their image — they could be very quick and economical searchers, and they did not display metres of print‐out. However, there were variations between individual end users, and it was often possible to find an end‐user group that matched an information professional group on one aspect of online searching or another. The online behaviour of end users was very much related to their general information seeking behaviour; and to the fact that they were not trained.

The design of systems by end users using 4 GLs was examined in seven organisations. Topics researched were reasons for 4GL adoption, systems design approaches, end‐user direct involvement and business issues raised by 4GLs. Results showed that very few end users directly used any of the 4GLs nor had DP management even considered end users when choosing a 4GL. Some changes in DP environment were found, but surprisingly most of the organisations still used structured design methodologies. The impact of the 4GL in business competitiveness was positive in all of the private‐sector companies and generally the use of 4GLs had improved DP department credibility. Most DP managers are not encouraging end‐user involvement with the 4GL and further research is required to determine end‐user requirements and why prototyping is not more widely used in systems design.

Mobile computing enables end‐users to create small services on their mobiles and share valuable and context‐aware information with others. The purpose of this paper is to introduce a platform for end‐user generated mobile services – so‐called microservices.

As a key component the authors present a microservice description language for user‐driven mobile service creation and platform‐independent service execution and rendering. The paper also gives insight into the authors' visual authoring tool. The chosen design approach is evaluated in two phases: an intermediate evaluation with a small hands‐on trial and an online survey; and a final laboratory test with 24 test users in total.

The paper provides empirical insights about the methods and motivations of end‐users creating small mobile services. The main purposes of service creation would be mostly to exchange information, stay in contact, and just for fun (on the basis of non‐commercial use). The evaluations also indicate the visual drag and drop approach of putting service blocks together as being the most favored in terms of user satisfaction.

The concepts and findings introduced in this paper will help in designing mobile service authoring environments, which is appealing to software communities/vendors and mobile network operators. The presented platform is, to the authors' knowledge, the first designed and implemented infrastructure enabling end‐user mobile service creation.

Big Data (BD) is not only a quintessential part of many economic activities but also has evolved into a veritable business ecosystem. However, most Big Data ecosystem (BDE) models have a technical, bottom-up focus and mostly lack the capability for a broad socioeconomic analysis. This paper identifies the Millennium Ecosystem Assessment (MA) as a useful, operational framework and uses a metaphorical analogy to adapt it for the BDE. The top-down approach adopted here allows for seeing the big picture of the BD ecosystem. Meeting “end-user needs” is the main objective of the proposed BDE framework.

The methodology of this paper consists of two parts. First, the MA is adapted for the BDE through a metaphorical analogy. Then, to operationalize and validate the proposed framework, it is applied to an emerging BD ecosystem.

In total, four types of services are offered in the BD ecosystem: provisioning information and products; regulating; cultural and supporting services. Direct and indirect drivers of change impact ecosystem processes such as BD service provision. Based on the assessment results, interventions can be devised to remedy problems, sustain the ecosystem or accelerate growth. The proposed BDE assessment framework is applied to an emerging BDE as an example of operationalization and validation of the proposed BDE framework.

The strengths of the proposed BDE framework is that, in contrast to existing frameworks that are technical and bottom-up, it is constructed top-down by a metaphorical analogy from the proven MA framework. It is a generic framework with the ultimate objective of meeting the “end-user needs” and does not focus on a single sector or firm. Also, the proposed BDE framework is multi-faceted and considers broad socioeconomic issues such as regulating, cultural and supporting services and drivers of change.

The purpose of this paper is to present the outcomes of digitisation of special collections: mapping, assessment, prioritisation (DiSCmap), a JISC and RIN‐funded project which studied users' priorities for the digitisation of special collections within the context of UK Higher Education Institutions (HEIs).

The project produced a list of 945 collections nominated for digitisation by intermediaries and end users and a user‐driven prioritisation framework. Data were gathered via web questionnaires. Focus groups and telephone interviews with end users provided additional insights on the views of those working within particular domains or disciplines. Over 1,000 intermediaries and end users contributed by nominating collections for the “long list” and providing opinions about digitisation priorities.

The long list of collections nominated for digitisation provides evidence of identified user interest and is not merely a “snapshot” but a significant outcome. A user‐driven framework for prioritising digitisation was also produced. The project suggests a flexible approach for prioritising collections for digitisation based on the use of the framework in combination with the long list of collections.

The project did not undertake a representative study; the participation of intermediaries and end users was a matter of goodwill. Yet 44 per cent of HEIs in the UK nominated special collections to the long list.

The paper provides new insights and evidence on user priorities for the digitisation of special collections. It also suggests a user‐driven digitisation prioritisation framework of benefit in future decision making, both locally and nationally.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

This paper develops a novel user-acceptance model for circular solutions to housing design. The model has been systematically developed from a case study of an upcycled plastic bottle building in a low-income community in Nigeria. It is common practice to use participatory approaches to consult end users in communities, typically after design concepts have been proposed and conceptualised. However, this often leads to critical socio-cultural or usability elements being overlooked and the design being substandard. Therefore, this paper develops a robust model for designers, specialists and activists involved in construction that can be used during all phases of a project. This approach demonstrates that user needs should be considered before building designs and plans are generated, providing a greater frame of reference for practitioners, consultants and end users. Enabling the integration of holistic needs of the community and the development of circular design solution.

A case study methodology has been employed to develop this model, uses appreciative inquiry methodology. This includes multiple methods to capture end users’ perception: focus groups, interactions with the local community and self-recorded comments. This case study is part of a broader research project to develop replicable low-cost self-sufficient homes utilising local capacity using upcycled, locally available materials.

The findings identify the challenges associated with designing circular solution housing without a robust understanding of interrelated factors, which ensure sustainability and user acceptance. The conclusions demonstrate why essential socio-cultural factors, usually unrelated to technical development, should be understood and contextualised when designing sustainable solutions in low/middle-income communities. The authors argue that without this holistic approach, undesirable consequences may arise, often leading to more significant challenges. Instead of referring to multiple frameworks, this distinctive model can be used to evaluate user acceptance for low-cost housing in particular and other dimensions of circular solution design that involve end-user acceptance. The model blends circular solution dimensions with user-acceptance concerns offering a guide that considers essential features that are both user-friendly and pragmatic, such as utility, technological innovation and functionality as well as their intersectionality.

The research relied on a single case study, which focussed on end-user engagement of upcycling waste materials as an application of circular solutions. The model will contribute to developing socially accepted circular solutions taking into consideration local context factors.

The paper is proposing a model for user acceptance of circular construction materials relevant to low- and middle-income countries (LMICs).

This study aims to investigate projects as social exchange networks, focussing on identifying knowledge brokers within the project network where they are key holders and disseminators of end-user needs. The purpose is to augment current theory through a practice lens so that building end-user requirements can be better incorporated in evolving project ecosystems.

An interpretive, an inductive case study is used to map knowledge brokers during a complex construction and co-location project. During the wider study, a variety of methods including archival data, interviews and questionnaires along with social network analysis (SNA) were used. The mixed methodology used has been pivotal in the triangulation of data from various sources. However, the output of SNA presented in this paper relies mostly on interviews and questionnaires administered to the project’s core network. Network relationships were mapped with knowledge of user requirements, being the key determinant of the binary relationships between actors.

The research found certain roles to be central knowledge brokers of knowledge related to end-user processes, including real estate and strategic planning, building operations and management, human and environmental factors, planning and project management and facility and service delivery. The knowledge of the above roles, albeit in a contextually situated case study, augments current understanding of which roles to tap on during project execution for better representation of end-user needs.

The research site is representative of a complex network of construction project stakeholders, including several categories of end-users and their representatives. The study demonstrates the use of the project-as-practice approach, whereby project theory is seen to emerge directly from practice. This has impact on practice as emergent theory about knowledge transfer and knowledge brokerage is essentially practice-led and hence more useful and relate-able to practitioners.

Research presented here is novel in terms of its approach towards understanding end-user needs such as need for privacy, control, attachment and interaction during construction projects. This is done through the identification of relevant knowledge brokers. The study uses SNA as an analytical tool to map knowledge transfers through the project’s network. End-user requirements are usually captured in the front-end of projects as specifications and deliverables, as new challenges emerge during execution, changes are required to the project’s direction and outcomes. It is therefore imperative that end-user needs are re-identified through knowledge brokers holding key knowledge. This allows project managers to prepare appropriate responses to changing project ecosystems.

The arrival of CD‐ROM (compact disc read only memory) databases provides the opportunity for libraries to gain valuable experience in teaching end users how to search for bibliographic information. This paper considers some of the issues, by describing the experiences of one small medical school library (Charing Cross and Westminster), which has introduced the Medline database on CD‐ROM. Such issues include the assessment of training needs, the type of teaching sessions and the documentation. Details are given of the one‐to‐one approach adopted at Charing Cross and Westminster for training end users to search Medline on CD‐ROM. Fourteen references guide the reader to further papers on end user searching and CD‐ROM developments.

Despite its potential, warehouse managers still struggle to successfully assimilate autonomous mobile robots (AMRs) in their operations. This paper means to identify the moderating factors of AMR assimilation for production warehouses that influence the digital transformation of their intralogistics via AMRs.

Drawing on innovation of assimilation theory (IAT), this study followed an explorative approach using the principles of the case study method in business research. The cases comprised of four AMR end users and six AMR service providers. Data were collected through semi-structured interviews.

Four clusters of moderators that affect each stage of AMR assimilation were identified. These clusters include organizational attributes of end users (i.e. production warehouses), service attributes of service providers, technology attributes of AMRs and relational attributes between the AMR service providers and the AMR end users.

The authors extend the IAT framework by identifying various moderating factors between different stages of the AMR assimilation process. To the authors' knowledge, this is the first study to introduce the perspective of AMR end users in conjunction with AMR service providers to the “Industry 4.0” technology assimilation literature. The study propositions regarding these factors guide future intralogistics and AMR research.