Search results

From an environmental psychology perspective, we aim to uncover the role that app discoverability facilitators play in enabling the various perceived values (e.g. social, information and hedonic) necessary for app adoption.

A survey study was conducted and data was analyzed using partial least squares structural equation modeling (PLS-SEM).

Results show that certain consumer review elements (i.e. review quality, review quantity and app ranking), peer influence and app developers' reputation — to varying degrees — influence the three perceived values, which subsequently affect users' app adoption intention. The three perceived values mediate the relationship between app discoverability facilitators and users' app adoption intention.

App store managers and developers should make a greater effort to effectively optimize discoverability and product differentiation.

Guided by environmental psychology, we confirm the importance of app discoverability facilitators regarding their influence on users' general perceptions of an app (e.g. the three perceived values). We also uncover the differentiated effect of the three perceived values on app adoption intention.

The concept of open innovation has captured the attention of both academics and practitioners alike. However, there is a dearth of research on how innovations can be diffused within open innovation ecosystems, a critical condition for the sustainability of such ecosystems. In this regard, the study advances a research agenda for guiding future inquiries into innovation diffusion within open innovation ecosystems.

Based on a systematic review of the extant literature on open innovation, this article identifies knowledge gaps in innovation diffusion, along with recommendations for bridging these gaps in the future. The study advocates that future research should consider not only innovation generation processes, but also innovation diffusion processes, especially in light of the growing application of open innovation in the context of digital goods and services.

Subscribing to an evolutionary view of innovation diffusion, the article draws on a five-phase framework – knowledge, persuasion, decision, implementation, and confirmation – to illustrate the roles played by three distinct yet interconnected parties (i.e. platforms, complementors, and individuals) within open innovation ecosystems as well as the research opportunities it brings.

The article examines the critical, yet underexplored role of innovation diffusion in sustaining open innovation ecosystems and outlines potential research avenues that can contribute to growing the understanding of the innovation diffusion process.

The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and repurchase intention. The study also aims to explore how e-servicescape, customer experience and perceived value of online shopping influence this relationships.

The study has used quantitative research methods to collect data from a sample of 484 consumers who had previous experience of purchasing using fashion apps. Data were collected from university students enrolled in university in Gujarat, India using an online self-administered questionnaire. The data are analyzed using structure equation modeling to determine the relationships between the variables under investigation.

The results demonstrate relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM. The study found support for hypotheses 1, 2 and 3, highlighting the influence of e-servicescape, customer experience and perceived value of online shopping in developing emotional attachment with fashion apps. The study also confirmed hypotheses 5 and 6, which suggest that consumers who have a stronger emotional attachment to fashion apps are more likely to intend to repurchase fashion products and engage in positive electronic word-of-mouth behavior for fashion brands.

In today's digital age, fashion apps are vital for fashion retailers to remain competitive and offer their customers a smooth and immersive shopping experience . Given the potential impact of fashion apps on the customer behavior, it is essential to investigate the relationship relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM in the context of fashion apps. The findings of the study are expected to contribute to the understanding of consumer behavior in the context of fashion apps and e-commerce more broadly. The results may also provide insights into how fashion retailers can improve their online presence and customer experiences to increase emotional attachment and positive behavioral outcomes.

The results of this study have several implications for online retail managers and fashion app developers. The study provides strong support for the idea that the extent to which online customers feel emotionally attached to fashion apps is strongly related to their e-WoM and repurchase intention. Moreover, the results of the study suggest that online retailers who are looking to cultivate emotional connections with consumers through fashion apps should prioritize three key areas: e-servicescape, customer experience and perceived value of online shopping.

Worldwide In-app Purchase (IAP) revenues reached almost US$37 billion in 2017 and doubled that in 2020. Although the revenue from IAPs exceeds those from paid apps, only 5% of total app users make any IAPs. This paper investigates why some users will not make IAPs and develop a novel concept of users' Perceived Aggressive Monetization of IAPs as an alternative framework to explain IAP behavior.

Given the newness of IAPs, this study uses qualitative research to understand the phenomenon and develop a model to explain the decision to spend on IAPs. In total, this study collected 4,092 unique user-generated comments from app user review sites and social media webpages where users discuss in-app purchasing.

The analysis reveals recurring themes that explain user unwillingness to make in-app purchases, such as conflicting meanings of free-to-play, perceived unfairness and aggressive monetization of IAP by app publishers, and self-control issues. Subsequent user interviews support the themes and suggest that IAP spending might be more impulsive.

The paper develops a new concept of perceived aggressive monetization. Additionally, it proposes a novel theoretical framework that future researchers can use to understand why some mobile game users are unwilling to pay for IAPs.

One of the main challenges that brands face is the ability to provide a real-life experience through online platforms. The aim of this study is to analyze consumers' self-concept and testimonials through an augmented reality (AR) try-on app versus a website.

An online survey was conducted with 222 participants, in which they were randomly exposed to two scenarios: AR try-on app or website experience and positive versus negative reviews presence.

The findings indicate positive effects of ideal self-congruence on purchase intention and confidence in fit. Low self-esteem consumers experience greater ideal self-congruence using AR when compared to the website. Confidence in fit partially mediates between ideal self-congruence and purchase intention. Higher levels of diagnosticity of reviews conduct to higher levels of purchase intention.

This study contributes to interactive marketing by exploring the effect of appearance self-esteem in the relationship between AR app versus website and ideal self-congruence and how this influences consumer behavior. In addition, the study also emphasizes the role of testimonials in shaping consumer intentions.

This study aims to apply the theory of consumption value to analyze the utilization of Metaverse technologies within hospitality and tourism while examining the factors that impact consumer intentions to use the Metaverse.

This paper aims to consider an extensive study spanning the period October 2021 to March 2023 was conducted to understand the shifts in an individual's intention to use Metaverse technologies in hospitality.

The findings of this study confirm that individual attitudes to the Metaverse and trust in Metaverse technologies significantly impact their intention to use the Metaverse.

The study aims to provide fresh insights into how individuals perceive Metaverse technologies in the context of choosing hotels and resorts, which enriches the understanding of consumer behaviors around Metaverse technology in hospitality.

This study aims to consider not only tourist intentions to use the Metaverse but also how diverse consumption values impact user attitudes, an area currently underresearched.

After being implemented for two years, HKBUtube (the official video streaming site developed by Hong Kong Baptist University Library) has become a popular source of videos for the university. This video site also begins to draw the attention of the community. When more libraries are starting to respond to the demand for mobile service, the HKBU Library decided not to remain aloof. Before committing itself to the provision of an additional platform, the Library carried out a proof of concept to investigate the likelihood of library users watching videos via a mobile app when the web counterpart was available. This paper aims to investigate this issue.

Through building a small‐scale mobile app to showcase and display videos, this paper studies the use of the app and the popularity of watching videos via smartphones. To yield a more accurate result, a web counterpart was also developed for comparison of usage.

The data suggest that the usage between the app and website version was about the same. This study also demonstrates the power of Apple's marketing support, the large group of international users, and the effect of broadband speeds.

Usage data presented in this paper support the importance of the provision of mobile video collections. This paper also offers practical information that can assist academic libraries in justifying and developing mobile services, in particular mobile media collections.

Although universities have extensive research and initiatives in place that align with the United Nations’ Sustainable Development Goals (SDGs), there is still a significant gap in documenting and assessing these efforts. This paper aims to discuss how academic libraries can apply their information management skills and open-access platforms, to facilitate the discoverability and retrieval of evidence on SDGs.

Introduced by a brief literature review on the role of libraries in contributing to the SDGs in general, the authors draw on their personal experiences as metadata specialists, participating in a project aimed at linking their university’s research output to the SDGs. A case study, from the University of Pretoria’s Veterinary Science Library, is used as an example to demonstrate the benefits of resourceful metadata in organising, communicating and raising awareness about the SDGs in the field of veterinary science.

Through practical examples and recommended workflows, this paper illustrates that metadata specialists are perfectly positioned to apply their information management skills and library platforms to facilitate the discoverability and retrieval of evidence on SDGs.

Although there are increasing reports on the contributions of libraries to support the successful implementation of the SDGs, limited information exists on the role of metadata specialists, as well as those with a practical focus.

This paper aims to examine the attitudes and experiences of information professionals with descriptive standards and collection management systems (CMSs) used for managing documentary heritage collections held by cultural heritage institutions in New Zealand (NZ). The aim is that such insights will inform decision-making around promoting documentary heritage collections discoverability and accessibility, in terms of advocating for appropriate system requirements when procuring or updating CMSs, and application of descriptive standards.

A qualitative design was applied to investigate the attitudes and experiences of information professionals working in libraries, archives and records management institutions, museums and public galleries. Data was collected through semi-structured interviews with thirteen participants who worked across ten different cultural heritage institutions.

The findings reveal that variances among metadata in libraries, museums, public galleries, archives and records management institutions continue to lead to challenges around discovery and access of documentary heritage. If opportunities for connecting documentary heritage collections in the age of linked data are to be realized, the sector needs to work collectively to address these variances along with consideration of the CMSs used. The study findings highlight issues currently affecting the NZ cultural heritage sector goal to make collections discoverable and more widely accessible.

The findings highlight a need for deeper research into CMSs used by the cultural heritage sector as these systems have an impact on metadata management including constraining the application of appropriate descriptive standards for documentary heritage collections.

This study aims to understand the extent of privacy concerns regarding voice-activated personal assistants (VAPAs) on Twitter. It investigates three key areas: (1) the effect of privacy-related press coverage on public sentiment and discussion volume; (2) the comparative negativity of privacy-focused conversations versus general conversations; and (3) the specific privacy-related topics that arise most frequently and their impact on sentiment and discussion volume.

A dataset of 441,427 tweets mentioning Amazon Alexa, Google Assistant, and Apple Siri from July 1, 2019 to June 30, 2021 were collected. Privacy-related press coverage has also been monitored. Sentiment analysis was conducted using the dictionary-based software LIWC and VADER, whereas text mining packages in R were used to identify privacy-related issues.

Negative privacy-related news significantly increases both negativity and volume in Twitter conversations, whereas positive news only boosts volume. Privacy-related tweets were notably more negative than general tweets. Specific keywords were found to either increase or decrease the sentiment and discussion volume. Additionally, a temporal evolution in sentiment, with general attitudes toward VAPAs becoming more positive, but privacy-specific discussions becoming more negative was observed.

This research augments the existing online privacy literature by employing text mining methodologies to gauge consumer sentiments regarding privacy concerns linked to VAPAs, a topic currently underexplored. Furthermore, this research uniquely integrates established theories from privacy calculus and social contract theory to deepen our analysis.