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Article
Publication date: 28 June 2021

Simran Kaur and Rupak Chakravarty

User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for…

Abstract

Purpose

User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for downloaded apps on these sites in the form of star ratings and text reviews. Apps can contain huge volumes of feedback, making it difficult for the user and the developer to skim through thousands of such reviews to get an insight into usage and impact of such apps. Thus, the current study aims to assess the usage and satisfaction among users of the Mendeley’s Android app vs iOS app.

Design/methodology/approach

The analytics are performed by using Appbot analytics software which captured, monitored, measured and analyzed the review results for a particular period. Appbot provides easy-to-understand insights of an app using artificial intelligence algorithm tools.

Findings

The findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users.

Originality/value

The value of this research is in getting an insight of the pattern/behavior of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. Without mobile app analytics, one will be blindly trying out different things without any evidence to back up their experiments.

Details

Library Hi Tech News, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0741-9058

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Article
Publication date: 23 September 2021

Quistina Omar, Ching Seng Yap, Poh Ling Ho and William Keling

This research aims to examine the effect of the two dimensions of technology readiness – motivator and inhibitor on behavioural intention to adopt a mobile agricultural…

Abstract

Purpose

This research aims to examine the effect of the two dimensions of technology readiness – motivator and inhibitor on behavioural intention to adopt a mobile agricultural finance app called e-AgriFinance app among the farmers in Sarawak, Malaysia.

Design/methodology/approach

Data were collected from 337 farmers who cultivated the 4 major crops in Sarawak – oil palm, rubber, cocoa and pepper using a face-to-face questionnaire survey. Collected data were analysed using partial least squares structural equation modelling with R plspm package.

Findings

The research found that both motivator and inhibitor dimensions of technology readiness predicted the farmers’ behavioural intention to adopt the e-AgriFinance app, with the former had a relatively stronger positive effect and the latter had a relatively weaker negative effect.

Research limitations/implications

This research was conducted in the context of rural farmers in an emerging economy. As such, modern farmers in developed countries may have different adoption behaviour of mobile agricultural finance app. The data were collected from farmers of the four major crops – oil palm, rubber, cocoa and pepper, and thus it may not be representative of the whole population of farmers in Sarawak.

Originality/value

This research served as one of the few studies that focused on the relationship between technology readiness and mobile app adoption among farmers from the perspective of an emerging economy.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-0839

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Article
Publication date: 9 September 2021

Xiaobo Mou, Fang Xu and Jia Tina Du

The purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior…

Abstract

Purpose

The purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior on users’ satisfaction and continuance intention to use short-form video application (APP).

Design/methodology/approach

Based on the existing theories, the research model of this study was developed and 445 valid data were collected through a questionnaire survey. The partial least squares structural equation modeling (PLS-SEM) was employed for data analysis to test the research model and hypotheses.

Findings

The results reveal that the recommendation algorithm has a significant positive effect on user satisfaction, new product novelty and privacy concern. The influence of recommendation algorithm on privacy concern is negatively moderated by product reputation. Privacy concern has a significant and positive impact on privacy protection behavior, and privacy protection behavior has a significant and positive impact on user satisfaction. New product novelty also has significant impact on user satisfaction.

Originality/value

This study is one of the earliest studies to incorporate recommendation algorithm as a construct into the college students’ continuance intention to use short-form video APP. The influence of reputation as a moderator variable on the relationship between algorithm and privacy concerns is also investigated.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 7 September 2021

Jeanette Carlsson Hauff and Jonas Nilsson

During 2020, governments around the world introduced contact-tracing apps to fight the COVID-19 pandemic. In order for contact-tracing apps to be efficient tools in…

Abstract

Purpose

During 2020, governments around the world introduced contact-tracing apps to fight the COVID-19 pandemic. In order for contact-tracing apps to be efficient tools in combatting pandemics, a significant proportion of the population has to install it. However, in many countries, the success of apps introduced during the COVID-19 pandemic has been limited due to lack of public support. This paper aims to better understand why consumers seem unwilling to install and use a contact-tracing app.

Design/methodology/approach

In this study, the authors test a number of determinants hypothesized to influence acceptance of contact-tracing apps based on the theory of privacy calculus (Dinev and Hart, 2006). Both perceived privacy concerns, as well as perceived hedonic, utilitarian and pro-social benefits are included. The hypotheses are tested through SEM analysis on a representative sample of 1,007 Swedish citizens.

Findings

The results indicate significant privacy concerns with using contact-tracing apps. However, this is to some extent offset by perceived hedonic and pro-social positive consequences of using the app. This study further shows that a general positive attitude towards innovation increases acceptance of the app.

Originality/value

The study contributes to research on consumer privacy, both in general in its application of the calculus model but also specifically in the context of contact-tracing apps. Moreover, as the results highlight which aspects that are important for consumers to accept and install an app of this kind, they also represent an important contribution to policymakers in countries around the world.

Details

Journal of Consumer Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 25 September 2021

Lejla Turulja and Merima Činjarević

This study aims to apply the stimulus-organism-response framework to uncover the underlying mechanism by which the perceived helpfulness of online customer reviews (OCRs…

Abstract

Purpose

This study aims to apply the stimulus-organism-response framework to uncover the underlying mechanism by which the perceived helpfulness of online customer reviews (OCRs) drives behavioural intentions in mobile travel app commerce. Also, the current study explores how vendor-driven perceived usefulness of a product and its attributes influence the mediated relationship between perceived helpfulness of OCRs (OCRs helpfulness) and behavioural intentions.

Design/methodology/approach

The online survey (n = 151) was used to collect the data. The authors used structural equation modelling and the bias-corrected bootstrap method to test the proposed conceptual model for mediation and moderated-mediation effect.

Findings

Findings indicate that the perceived OCRs helpfulness has an indirect positive effect, via trust and attitude, on travel app downloading intention. Moreover, results suggest that the presence of vendor cues (vendor-generated informational content about a travel app) does not significantly moderate the mediating effect of perceived OCRs helpfulness on travel app downloading intention.

Originality/value

The present study reinforces the applicability of the warranting principle in the context of travel app commerce by exploring the relative effectiveness of customer-generated and vendor-generated informational content in influencing travel app downloading intention.

研究目的

本研究旨在应用SOR框架来解释在线评论的有效性影响在旅行APP行为意向的潜在机理。此外,本研究探索了供应商驱动的对产品的认知有效性和商品属性来影响认知有效性和行为意向的中介关系。

研究设计/方法/途径

本研究运用网络调研 (n=151)来收集数据。本论文运用结构方程建模和偏差纠正辅助程序来测试提出的理论模型和调节式中介作用。

研究发现

研究结果显示在线评论的有效性通过信任度和态度对旅行APP的下载使用意向具有间接正相关的作用。此外,结果显示当供应商信息(供应商制定的有关旅行APP的信息内容)并不能有效调节网络顾客评论对下载意向的中介作用。

研究原创性/价值

本研究加强了担保原则在旅行APP贸易背景下的适用性,探索了顾客驱动和供应商驱动的信息内容对旅行APP下载意向影响的相对有效性。

Details

Journal of Hospitality and Tourism Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 14 September 2021

Lee-Andra Bruwer, Nkosivile Welcome Madinga and Nqobile Bundwini

The purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between…

Abstract

Purpose

The purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between antecedents of the adoption of grocery shopping apps and user attitude and intention to purchase.

Design/methodology/approach

This study adopted partial least squares structural equation modeling (PLS-SEM) to evaluate the relationship between the latent variables: perceived usefulness, perceived ease of use, attitude and intention to use grocery shopping apps. Partial least squares multigroup analysis (PLS-MGA) was used to examine the moderating effect of education. A total of 305 grocery shopping apps users were surveyed using a structural questionnaire.

Findings

The results indicated that all the factors considered in the framework were significant in predicting the intention to use the grocery shopping apps. The findings show that education has no significant impact on any relationship.

Practical implications

A better understanding of the factors that affect the acceptance of mobile grocery shopping apps is important for developing better strategic management plans.

Originality/value

This is one of the first studies to research the adoption of grocery shopping apps in a developing country, as well as the first to focus on consumers in South Africa.

Details

British Food Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 9 September 2021

Hamid Reza Nikkhah and Rajiv Sabherwal

In this research, the authors focus on mobile cloud computing (MCC) collaboration apps that are multiplatform and send the users’ data to the cloud. Despite their…

Abstract

Purpose

In this research, the authors focus on mobile cloud computing (MCC) collaboration apps that are multiplatform and send the users’ data to the cloud. Despite their benefits, MCC collaboration apps raise privacy concerns, as the users’ information is sent to the cloud where users lack direct control. This study aims to investigate why users disclose information to MCC apps despite privacy concerns and examine the effect of security and assurance mechanisms (i.e. privacy policies and ISO/IEC 27018 certification) on users’ perceptions and information disclosure. Based on three surveys conducted in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543), this study finds mixed results regarding the relationships among security, assurance mechanisms, utilitarian benefits and information disclosure.

Design/methodology/approach

This study conducted three scenario-based surveys in the USA in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543).

Findings

This study finds mixed results of relationships among security, assurance mechanisms, utilitarian benefit and information disclosure.

Originality/value

With proliferation of MCC apps, the investigation of how users make privacy decision to disclose personal information to these apps is sparse. This study, for the first time, investigates whether the signals of assurance mechanism decrease users’ privacy concerns. This study also examines the interplay between security and privacy within information disclosure behavior. Finally, this study was conducted in 3 years to enhance the generalizability and robustness of findings.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 8 September 2021

Santosh Nandi, Madhavi Latha Nandi and Varsha Khandker

The purpose of this paper is to ascertain the determinants of mobile app stickiness (MASS) in emerging economies.

Abstract

Purpose

The purpose of this paper is to ascertain the determinants of mobile app stickiness (MASS) in emerging economies.

Design/methodology/approach

The study proposes a research model about how perceived interactivity (PI), perceived value, flow and self-efficacy influence MASS. The proposed model is then assessed in partial least square structural equation modeling using a survey sample of 587 mobile app users in India. Follow-up in-depth interviews are conducted to corroborate with statistical findings.

Findings

PI does not exert a significant direct influence on MASS. Rather, it is through perceived hedonic and utilitarian values and flow, which magnifies MASS. Also, mobile app users in emerging economies perceive an app to be interactive based on the app’s higher degrees of connectedness, non-verbal information and responsiveness, and not so much as reciprocity and control.

Research limitations/implications

Besides the demographic and geographic limitations of the sample, the study emphasizes only the positive cursors of MASS, such as value and loyalty benefits. It presents a future scope to empirically examine stickiness using negative cursors, such as identity theft, stress and health issues.

Practical implications

The study serves as a potential landscape for mobile app developers, consultants and service providers to identify unique daily-life requirements for mobile apps in emerging economies.

Social implications

The study creates a case for the mobile-commerce industry to consider socio-economic and socio-environmental factors while developing mobile apps for emerging economies.

Originality/value

Given the recent growth of mobile devices, services and broadband connectivity in emerging economies, this study provides a new perspective about different factors leading to MASS.

Details

Journal of Consumer Marketing, vol. 38 no. 6
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 3 August 2015

Raymond Pun

The purpose of this paper is to address how New York University Shanghai Library utilizes WeChat to support students’ research and information needs. WeChat is a mobile…

Abstract

Purpose

The purpose of this paper is to address how New York University Shanghai Library utilizes WeChat to support students’ research and information needs. WeChat is a mobile text and voice messaging communication service developed in China. Released in 2011, it currently has over 355 million users worldwide. The paper explores the information exchanges and interactions as well: what are students asking and what they can gain from this app; and features of the app are explored: WeChat can send files, support video-chat and group and voice messaging. By examining the opportunities and challenges of this app, the paper offers best practices to maximize WeChat as a library virtual service.

Design/methodology/approach

The design approach of this paper is to analyze the information exchanges and interactions from participants. By collecting and analyzing the responses, the paper presents the opportunities of the app in supporting patrons who are often mobile and also how the app can be used for student engagement that is beyond reference services.

Findings

From virtual reference to social media outreach, this paper finds that the app can offer a wide range of support and service through the library. Based on the positive daily interactions in the app, the research notes that the app can be utilized in many contexts: to support virtual service, to create student engagement, to promote library services and to create an online community of student users.

Originality/value

This paper introduces in the context of an American institution and how this app can be utilized to support virtual reference and student engagement. The most important feature of this work is to demonstrate how to use this app to promote and to provide library services remotely. The paper introduces an alternative virtual reference service that can be utilized in any university setting.

Details

Library Hi Tech News, vol. 32 no. 6
Type: Research Article
ISSN: 0741-9058

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Article
Publication date: 1 September 2021

Bronwyn Howell and Petrus H. Potgieter

The Australian and New Zealand governments have released smartphone-based apps to complement contact tracing in the event that they face a resurgence of COVID-19…

Abstract

Purpose

The Australian and New Zealand governments have released smartphone-based apps to complement contact tracing in the event that they face a resurgence of COVID-19 infections. The apps form part of both countries’ policies to support a return to social and economic engagement following extended lockdowns. This paper aims to investigate the extent to which the two approaches are fit for purpose and compare their functional characteristics.

Design/methodology/approach

Using process mapping and analysis, this paper evaluates the potential of the two apps to improve the performance of existing contact tracing systems across a range of efficiency and effectiveness criteria with an emphasis on the framework proposed by Verrall (2020).

Findings

The Bluetooth-based Australian app appears likely to assist that country’s contact tracing system to perform more efficiently and effectively in the event of a resurgence of the virus and should increase confidence in re-engagement. The New Zealand QR code-based app, however, is not well-aligned with these objectives. Its interaction with a range of other regulations and obligations, combined with the inconvenience it imposes on its users, is likely to militate against its use. Bluetooth-based apps based on interactions between individuals likely better support these population-based objectives than QR code-based location-specific apps.

Originality/value

This paper provides an original and extensive analysis of the functionality and effectiveness of Australia and New Zealand’s official contact-tracing apps.

Details

Digital Policy, Regulation and Governance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5038

Keywords

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