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Focuses on the information needs of users that are changing as a result of changes in the availability of information content in electronic form. In the course of the discussion, the paper first highlights the trend and nature of the physical form in which information content is currently being made available for users’ access and use in electronic information environments. It then attempts to determine why the prevailing information needs of users are coming into being and how they are shaped in electronic information environments. Finally, makes suggestions regarding how to go about identifying and meeting the prevailing needs in electronic information.

This article aims to understand users' information needs in the metaverse communities and to analyze the similarities and differences between their information needs and those of users in Internet communities.

This study conducted semi-structured interviews with users in the metaverse communities to gather raw data. Grounded theory research methods were employed to code and analyze the collected interview data, resulting in the extraction of 40 initial concepts, 15 subcategories and 5 main categories. Based on Maslow’s hierarchy of needs theory, this paper constructs the hierarchical model of users' information needs in the metaverse communities. It compares the differences between users' information needs in the metaverse and Internet fields.

The user’s information needs in the metaverse communities are divided into two types: deficiency needs and growth needs. Deficiency needs have two levels. The first level is the demand for basic information resources. The second level is the users demand for information assistance. Growth needs have three levels. The first level is the need for information interactions. The second level is the need for community rules. The ownership information in the community rules can provide proof of user status, assets and so on. The third level is the need for users to contribute and share their own created information content.

This article presents the latest research data from in-depth interviews with users in the metaverse communities. It aims to help builders and managers of metaverse communities understand users' information needs and improve the design of virtual communities.

This paper aims to investigate the service demand of existing users and potential users for mobile information services provided by university libraries in China. The primary objective is to explore the impact of user experience on user needs, which is conducted by a comparison between two user groups over their needs from three aspects – service function, service mode and information content.

Data were collected from 353 library users from ten Chinese universities via questionnaires. Based on the user needs model, three dimensions of user needs were established for mobile information services and 26 measurement items were generated through a review of the literature. Furthermore, based on frequency analysis, independent samples t-test and the calculation of need rate, the demand differences in mobile information services between existing and potential users were explored.

Significant differences existed in the needs for service functions and service modes of mobile information services between existing users and potential users. Existing users cared more about such characteristics as intelligence, personalization and the variety of mobile services. Potential users, in contrast, concerned themselves more with the usability of mobile services and similarity to traditional information services. These two user groups showed little difference in the needs for information content, as they both have strict requirements for specialty, richness in and quality of information resources in mobile network environments.

Previous research on user needs for mobile libraries services has been primarily conducted from the perspectives of existing users. This study, however, compared the needs of existing and potential users based on their previous experiences, which can help libraries to know better what their users need and improve the quality of mobile information services to meet those needs. This can also make existing users more willing to use the services and cultivate the usage habits of potential users at the same time.

Ethnic minorities (EMs), who make up a sizable proportion of multilingual users, are more likely to browse and search in their native language. It is helpful to identify multilingual users' information needs to provide public digital cultural services (PDCS) for making their life better.

The in-context interview is an efficient way to explore EMs' information needs and evoke their daily experience with PDCS. The material from 31 one-on-one interviews with EMs in China was recorded and analyzed using thematic analysis.

The findings reveal that language proficiency is a critical factor influencing multilingual information access (MLIA) and multilingual users' information needs. Moreover, language ability, digital literacy and cultural literacy are important components of multilingual information literacy (MLIL), which is helpful for EMs to access PDCS. In light of Kochen's theory, the information needs of PDCS can be classified into the aroused need of resources, the recognized need of functions and services and expressed need. For the expressed need, it is necessary to develop a one-stop convergence platform of PDCS to process various requests of resources, functions and services in the future.

The findings will be valuable for governments, public institutions and social organizations in identifying, addressing and resolving these issues about PDCS.

Seeking and retrieving information is an essential aspect of knowledge workers' activities during problem‐solving and decision‐making tasks. In recent years, user‐oriented Information Seeking (IS) research methods rooted in the social sciences have been integrated with Information Retrieval (IR) research approaches based on computer science to capitalize on the strengths of each field. Given this background, the objective is to develop a topic‐needs variation determination technique based on the observations of IS&R theories.

In this study, implicit and explicit methods for identifying users' evolving topic‐needs are proposed. Knowledge‐intensive tasks performed by academic researchers are used to evaluate the efficacy of the proposed methods. The paper conducted two sets of experiments to demonstrate and verify the importance of determining changes in topic‐needs during the IS&R process.

The results in terms of precision and discounted cumulated gain (DCG) values show that the proposed Stage‐Topic_W (G,S) and Stage‐Topic‐Interaction methods can retrieve relevant document sets for users engaged in long‐term tasks more efficiently and effectively than traditional methods.

The improved precision of the proposed methods means that they can retrieve more relevant documents for the searcher. Accordingly, the results of this research have implications for enhancing the search function in enterprise content management (ECM) applications to support the execution of projects/tasks by professionals and facilitate effective ECM.

The model observes a user's search behavior pattern to determine the personal factors (e.g. changes in the user's cognitive status), and content factors (e.g. changes in topic‐needs) simultaneously. The objective is to capture changes in the user's information needs precisely so that evolving information needs can be satisfied in a timely manner.

This paper aims to propose a conceptual model for improving the organization of user needs information in the big data environment.

A conceptual model of the organization of user needs information based on Linked Data techniques is constructed. This model has three layers: the Data Layer, the Semantic Layer and the Application Layer.

Requirements for organizing user needs information in the big data environment are identified as follows: improving the intelligence level, establishing standards and guidelines for the description of user needs information, enabling the interconnection of user needs information and considering individual privacy in the organization and analysis of user needs.

This Web of Needs model could be used to improve knowledge services by matching user needs information with increasing semantic knowledge resources more effectively and efficiently in the big data environment.

This study proposes a conceptual model, the Web of Needs model, to organize and interconnect user needs. Compared with existing methods, the Web of Needs model satisfies the requirements for the organization of user needs information in the big data environment with regard to four aspects: providing the basis and conditions for intelligent processing of user needs information, using RDF as a description norm, enabling the interconnection of user needs information and setting various protocols to protect user privacy.

The purpose of this paper is to dismantle the complex issue of “use of accounting information (AI)” by pointing to different groups of information users, diverging interests and needs of these user groups and various influential factors on the usability and the actual use of AI.

This paper includes a literature review and conceptual reflections.

The review of recently published articles on the issue of “use of accounting information” presents an actual picture of the academic debate on purposes of use, user types, needs of various user groups and factors influencing the usability and the actual use of AI. The subsequent conceptual reflections deal with so far less regarded user groups, with options to strengthen the user perspective in budgeting and financial reporting, with approaches for engaging users in the content of accounting documents, with interrelations between user needs, usability and use intensity, including various antecedents of the different variables of the information-use issue.

This paper presents promising routes for future research.

The paper emphasizes the importance of paying more attention to the specific information needs and the motivations of various stakeholder groups generally interested in using financial information.

The paper presents results of reviewing recent literature on the issue of “use of accounting information” and provides some insight into specific aspects of this issue.