Jun-Jie Hew

What catalyses mobile apps usage intention: an empirical analysis

– Considering the lack of understanding of the mobile applications (mobile apps) market and low usage rates among Malaysians, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was adapted to investigate the determinants of consumer behavioural intention (BI) to use mobile apps. , – A total of 288 sample data was collected and analysed using partial least square equation modelling (PLS-SEM) method. , – All of UTAUT2 constructs (i.e. performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, and habit), except for price value and social influence, significantly relate with BI to use mobile applications. Habit was reported to have the strongest influence. Gender and educational level were found to be insignificant moderators. , – Mobile application developers could have better understanding on users’ needs and intention, based on the findings. , – In order to shed light on current problems, and there is a dearth in relevant studies which could resolve the issue, this paper contributes the necessary knowledge on mobile apps acceptance to developers. Educational level was added into UTAUT2 as a moderator in addition to gender.

Hall of fame for mobile commerce and its applications

Bibliometric analysis was used to evaluate m-commerce and its applications research.USA is leading most of the times, in term of number of publications.Some Asian countries have comparable performance to Western countries.Asian authors and research institutions have outstanding achievements too.Several future directions were offered. This study intends to evaluate the current development and trends of researches on mobile commerce and its applications through bibliometric analysis. Several publication characteristics were examined, on top of lists for most cited articles on this area and most studied mobile commerce applications. Through the data gathered from Web of Science database, this study employs several measures, namely impact factor, h-index, and citation counts to evaluate the productivity, impact, and research performance of countries, journals, authors, and research institutions. The number of publications are increasing yearly, with USA leading most of the times. Several international collaboration patterns were identified, and surprisingly some Asian countries have comparable performance to Western countries, in terms of the measures employed. Likewise, Asian authors and research institutions are found to have outstanding achievements too. Moreover, both the most studied mobile commerce applications and most cited lists offer some future directions. This study serves as a forerunner in using bibliometric analysis to evaluate researches on mobile commerce and its applications, and expected to benefit researchers in the area of mobile commerce, by identifying potential research directions. In addition, this study also serves as a useful guide to potential researchers and practitioners. However, improvements could be made, if extra analyses, such as content analysis, are added in.

Crafting a smartphone repurchase decision making process

Display Omitted A PLS-ANN two-staged approach and a non-parametric PLS-MGA are employed.Brand attachment is the most influential driver of continuance intention to purchase smartphones.Male consumers are more sensitive to the influences of brand attachment.Female consumers are stressing more on perceived usefulness.Perceived usefulness does not significantly influence male consumers continuance intention. In this fast changing digital era, smartphones users tend to change their smartphones regularly. Therefore, retaining existing consumers has been a challenging task for smartphone manufacturer brands. Given the status quo in smartphone industry and deficiencies in smartphone research, this study proposes a model that integrates Expectation Confirmation Model and brand attachment to shed light on smartphone repurchase decision making process. Besides, gender differences are also accounted for in the model. This study employs a two-staged approach, namely PLS-ANN, in analysing the data collected from 510 existing smartphone owners. Partial least squares structural equation modelling was firstly engaged, and followed by artificial neural network analysis. Besides, a non-parametric partial least squares multi-group analysis has also been conducted to discover gender differences in such decision making process. The results suggest that brand attachment is the most influential and relevant driver of consumers intention to repurchase smartphones from current brand (measured by continuance intention). Moreover, male consumers are more sensitive to the influence of brand attachment in developing their satisfaction and continuance intention, while female consumers are relying more on perceived usefulness. Interestingly, perceived usefulness does not significantly influence male consumers in continuance intention development. Practical and theoretical implications are subsequently offered.

Cloud computing in manufacturing: The next industrial revolution in Malaysia?

Effectiveness of cloud computing technology among the Malaysian manufacturing firms.Applicability of cloud computing improves innovativeness and firm performance.Using PLS-SEM-ANN analysis revealed that innovativeness leads to firm performance. This study explores how performance expectancy (PE), effort expectancy (EE), firm size (FS), top management support (MS) and absorptive capacity (AC) of cloud computing technology can lead to innovativeness (IN) and firm performance (FP) among the manufacturing firms. Data gathered from 188 managerial positions were analysed using Partial Least Squares (PLS) Structural Equation Modelling (SEM) analysis, together with the Artificial Neural Network (ANN) analysis. Findings revealed that PE, FS, AC have a positive significant influence on IN; while IN positively influences FP. This study offers valuable perspective on the applicability of cloud computing technology to improve IN and FP, and subsequently be aligned with Industry 4.0, the next industrial revolution.

Generating travel-related contents through mobile social tourism: Does privacy paradox persist?

Abstract In view that smart tourism is a neglected research area and privacy concern is a prevalent issue that deserves spotlight in smart tourism research, this study seeks to explain continuance intention to create user-generated contents among travellers within the mobile social tourism context through an integrated framework that consists of privacy concern, sense of belonging, and self-determination theory. Mobile social tourism, which refers to the use of mobile social media in tourism activities, is a newly proposed term that fits into the scope of smart tourism in this study. PLS-SEM has been employed to analyse the data collected through self-administered questionnaires. Most structural paths in the framework are consistent with past literatures, except for the negative influences of privacy concern. The mediation analysis suggests that these effects have been neutralized by perceived benefits and sense of belonging, which reaffirms the “privacy paradox” phenomenon in smart tourism research. Overall, the framework could provide adequate explanation towards continuance intention to create user-generated contents under the context of mobile social tourism. Both theoretical and practical implications are then discussed.

The interactive mobile social media advertising: An imminent approach to advertise tourism products and services?

Abstract Marketing tourism products traditionally were confined to conventional advertising tools. With the enhancement of mobile technologies and the emergence of social networking sites, a new platform of advertising has emerged. Mobile social media advertising refers to the use of social networking sites on mobile devices to advertise tourism products and services. However, many tourism organizations are skeptical, particularly if tourists are ready to accept this new form of advertising. Therefore, this study proposes an integrated framework that consists of Mobile Technology Acceptance Model, personal factors (i.e., mobile self-efficacy and technology self-efficacy), and Interactivity Theory to understand consumers’ intention to adopt mobile social media advertising in receiving tourism-related advertisements. 459 valid data were analyzed by the Partial Least Squares Structural Equation Modelling technique. Surprisingly, most structural paths are consistent with past literatures except for the relationship between personal factors and intention. This study has valuable contributions to academicians, practitioners, and society.

Could the mobile and social perspectives of mobile social learning platforms motivate learners to learn continuously

Abstract Learning with smart mobile devices and mobile social networks is an emerging and current trend that deserves attention. Nonetheless, the post-adoption continuance behaviours of learners are still a neglected research focus. Moreover, not much study has examined this research area from a mobile and social perspective. In view of these, this study aims to investigate the continued use of mobile social networks as a platform for learning through a mobile and social perspective. The Partial Least Squares Structural Equation Modelling technique was engaged to analyse a sample that consists of 229 university students, who involve themselves in using mobile social learning platforms for learning purposes. Mobile usefulness, mobile ease of use, and sense of belonging were found to have significant direct influence over satisfaction, which directly influences learners’ site attachment and continued use. Other than satisfaction, site attachment is another direct and significant predictor of continued use. From the mediation analysis, although perceived mobility and social presence have no direct impact over satisfaction, they affect satisfaction indirectly through mobile usefulness and sense of belonging respectively. Serving as a forerunner in examining the continued use of mobile social learning platforms for learning from a mobile and social perspective, this study has closed several crucial literature gaps and provided useful insights to learning institutions and mobile social networking service providers on developing a better mobile social environmental for learning purposes.

Unfolding the privacy paradox among mobile social commerce users: a multi-mediation approach

ABSTRACT Considering that privacy paradox is currently an underexplored research area, this study proposes a privacy paradox model to explain the reasons behind such phenomenon. Built upon the theoretical link of belief-intention-behaviour and the idea of multi-mediation, this study seeks to discover the relationship between concern for social media information privacy and usage intention, and the potential mediators that stand between such linkage. The results suggest that perceived mobility and social support do mediate the said linkage, and the model could reasonably explain usage intention, which surprisingly has a negative association with usage behaviour. Theoretical and practical implications are subsequently offered.