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With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.

In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.

Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.

In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.

In the digital age, public libraries are facing numerous challenges, and the Balochistan public libraries are no exception. This study aimed to identify current digital trends adopted by the public libraries in Balochistan and to find out about challenges and potential solutions regarding digital trends from library users.

A quantitative study was carried out and data were collected through the survey method, employing a structured questionnaire. The target population consisted of 17,953 users of 17 public libraries in Balochistan. A sample of 510 users both male and female was selected by using random sampling technique from the target population.

The analysis revealed that patrons of public libraries are dissatisfied with the services offered, as they now require access to new digital trends such as fast Internet, download facilities, unlimited content on numerous resources, Wi-Fi, online reference services, universal accessibility and user-friendly interfaces. Unfortunately, public libraries in Balochistan are still lagging in terms of development. The study recommended that public libraries in Balochistan should develop and implement digital services, increase access to digital resources, hire professional librarians, professional development and collaborate with other libraries.

The study’s findings can assist in improving public library services and granting patrons access to current information and resources in Balochisthan and other developing countries. This study’s originality stems from its use of a quantitative survey approach to gather data from 17 public libraries in Balochisthan and provide a comprehensive view of the digital challenges they face. The study’s focus on digital tendencies is relevant in today’s world, where technology is rapidly changing the way, we access and consume information.

This study aims to discuss the case of the Università degli studi di Milano in the context of the COVID-19 pandemic as a point of departure for a new concept of digital library that is closer to users and publishers.

In this case study, processes and statistical data related to the library system and its usage and digitization at the Università degli studi di Milano during and immediately after the COVID-19 pandemic were analyzed with focus on users’ behavior regarding access to and usage of digital library. The outcome of the innovative measures implemented by the university was analyzed, including the procedures for purchasing bibliographic material, the organization of work in libraries, the management system of bibliographic resources and their monitoring, teaching, communication and the organization of knowledge in general.

The library system of the Università degli studi di Milano has responded effectively and efficiently to the pandemic crisis by creating a collaborative network with publishers, teachers and students. The awareness of the central role of the Digital Library as the primary place for accessing content, an environment of carefully curated resources and a place for individual and collaborative studies to support learning has increased.

This analysis charters the effects of the lockdown, which has accelerated digital transformation and created an innovative model of academic libraries more connected to community goals. This study points toward the good practices resulting from the COVID-19 experience: closer relationship between users and publishers, change in organizational flow and the relevance of communication in creating a closer connection with users.

The study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.

Methodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.

The study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.

Service scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.

No prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.

This paper aims to establish the link between the attitudes older adults hold toward governmental websites, their subjective online public service use skills and their e-government use for bureaucratic (e.g. document downloading or filling them out online) and transactional (e.g. payment) purposes.

Data were obtained from the 2020 Israel Social Survey and analyzed using binary logistic regression models. The sample included internet users aged 60 years and older (N = 735).

Subjective use skills were positively associated with each studied type of e-government use. Perception of security in providing personal information on governmental websites was also positively associated with both types of use. Perceived clarity and simplicity of governmental websites was (positively) related to transactional e-government use only.

The results suggest that the types of e-government use in older adulthood are not contingent upon exactly the same factors. Moreover, attitudes toward e-government seem to be more relevant for transactional rather than bureaucratic e-government use in this lifespan period.

The study examines factors related to government website uses of various types in later life – a rarely studied topic in e-government research.

Several high street retail banks are extending their brands into digital banking through fully digital, app-only neobanks, which have been described as traditionally-driven neobanks (TDNBs). These TDNBs are considered a form of brand extension, representing the increased complexity of branding banks and financial institutions. This study explicitly addresses the branding strategies employed by TDNBs.

This study has adopted a case study research design, using a multi-stage data collection strategy. Initially, interviews were conducted with bank managers, followed by interviews with customers. Later, user-generated content was extracted through verified reviews from the app store. Subsequently, these three strands of data were thematically analysed and triangulated, in order to gain a holistic understanding of the branding strategies used by TDNBs.

Three key themes emerged regarding the branding strategies of the TDNBs: aligning with the parent brand, reinforcing the digital experience, and enhancing the brand image.

This study contributed to the growing body of research on marketing, branding, and digital transformation of bank services. As more traditional banks are exploring opportunities to pivot and explore other fintech options, this study offers significant insights that will help in managing brand experience and promotion across customer journeys in the banking sector.

This study contributes to the growing body of research on marketing, branding, and digital transformation of bank services. Even as more traditional banks explore opportunities to pivot as well as other fintech options, this study offers significant insights to help manage brand experience and promotion across customer journeys in the banking sector.

While previous studies on banking and financial services have concentrated on traditional retail and high street banks, there is a need for a greater understanding of the brand positioning of digital banks, especially those created by traditional banks.

The paper aims to review rules and policy guidelines worldwide around non-personal data (NPD) and evaluate the policies on criteria that allow for the use of data for economic and social good. A review related to diverse policy approaches of various countries remains a research gap, and hence the analysis in the paper is designed with the intention of developing a research framework and providing policy gaps for further exploration.

A systematic review of academic and non-academic literature on theoretical foundations, applications of NPD for economic and social good and NPD policies and regulations was conducted to identify the evaluation criteria. A total of 32 dimensions got identified for evaluation. As second step, content analysis was used for evaluation. A total of 13 documents from 6 countries and 1 geographical region were identified for evaluation. The documents were evaluated based on the 32 dimensions spread across 5 domains that facilitate data access and sharing for economic and societal benefit.

The analysis highlights three distinct emerging perspectives on data exchange: most policy and regulatory documents acknowledge the importance of identifying different types of NPD and accordingly describing the distinct roles and responsibilities of data actors for leveraging the data; the policy and regulatory frameworks clearly focus on increasing business opportunities, data sharing cooperation and innovation; and findings also demonstrate certain gaps in the policy frameworks such as a more comprehensive discussion on data access and sharing mechanisms, particularly data sandboxes and open data, and concrete norms and rigorous standards regarding accountability, transparency, ownership and confidentiality. Furthermore, policies and regulations may include appropriate incentive structures for data providers and users to ensure unhindered and sustainable access to data for the common good.

To the best of the authors’ knowledge, this paper represents one of the first research contributions evaluating global data policies focused on NPD in the context of its increasing use as a public good. The paper first identifies evaluation criteria for the analysis on public and social good, and, thus, provides a conceptual framework for future research. Additionally, the analysis identifies the broad domains of policy analysis on social and public good for data economics.

This study aims to determine college/university students’ mobile phone practices to understand key user preferences and set a baseline understanding for the development of prospective library informational mobile services.

This study is based on the results of an online-survey method. The authors recruited students majoring in the Information Science program in School of Information at Pratt Institute (USA) (74 participants) and in Kyiv National University of Cultural and Arts (Ukraine) (89 participants).

The general trends in the use of mobile technologies by American and Ukrainian students were identified. Key components of library mobile services are offered. Such services may include information and reference service via messengers; development of library mobile applications of audio and video content; access to educational, scientific, popular science literature and fiction; and supplementing online services with library chatbots.

This study was limited to only students majoring in information science at university; however, the data obtained helps outline several general trends common to student youth who are actively working with information.

The obtained results will be useful in the practical activities of libraries and other information institutions for the development of a comprehensive information service based on mobile technology.

This study contributes to understanding how to improve library informational service considering users habits and preferences. Libraries management and librarians can use the findings as a basis for prioritizing the improvement of library informational mobile service.

The purpose of this paper is to describe how non-fungible tokens (NFTs) can be used in the commission of financial crime, including money laundering and crypto-fraud schemes, using the framework of the Space Transition Theory.

A literature review relating the Space Transition Theory to crime vulnerabilities related to NFTs is conducted and practical examples illustrating NFT schemes are provided.

The authors find that the Space Transition Theory explains the evolution of financial crimes into the NFT space. The transformation of the art industry from the physical to the virtual space through NFTs underlies the criminal activity surrounding them. NFTs enable crime because of the flexibility, dissociative anonymity, lack of deterrence and anonymity.

Criminals can easily take advantage of the users’ limited knowledge of blockchain to defraud them of their money or tokens. These risks accentuate the need to adopt appropriate measures to augment the accountability of NFT transactions. Until such interventions are implemented, the NFT market remains a highly viable space for the perpetration of financial crimes.

The dynamic nature of the cyberspace and fast-past underlying technology provide a greater chance to escape than crimes committed in the physical space. The state of security on NFT platforms has elicited concerns from diverse quotas. NFTs pose significant money laundering risks because of the lack of appropriate regulatory mechanisms, generating a need for enhanced oversight and enforcement of sectors of the economy in physical space vulnerable to abuse in the NFT space, including entities such as art galleries, museums, sports teams and luxury brands.

The Space Transition Theory is also supported in that norms and values regarding ethics and criminal actions in the physical space do not transfer to cyber space.

The novelty aspect of this research is in applying the Space Transition Theory to financial crime schemes based on NFTs.

This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.

Using a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.

This study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.

This study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.