Modelling factors influencing early adopters purchase intention towards online music

The Internet is an incredible technology, offering users a vast choice of new songs and catalogue that can be browsed, streamed or bought online. This paper aims to provide an explanation of factors influencing purchase intention of early adopters towards online music. An empirical survey was used to test the hypotheses. Data were collected from a total of 200 questionnaires distributed to early adopters of online music and were analysed using Structural Equation Modeling (SEM) via the Analysis of Moment Structure (AMOS 16) computer program. Results enumerate that perceived ease of use emerges as the important factor which affects perceived value among the respondents followed by perceived playfulness. Perceived value has the only significant impact on the purchase intentions towards online music. The paper rounds off with conclusions and an agenda for future research in this area

Drivers and deterrents of music streaming services purchase intention

Generalised access to online content, with no transfer of ownership, revolutionised consumer behaviour. The music industry is a paradigmatic example: physical product sales decreased and even online music stores are increasingly threatened by the rise of on-demand music streaming services (MSS). However, MSS find it difficult to persuade users to opt for the premium version. Therefore, the purpose of this study is to assess what drives (deters) users' intention to purchase MSS, as well as to examine the role of gender and age. Based on data collected from 318 MSS users, the study shows that both perceived value and perceived fee are significant predictors of MSS purchase intention, with the negative impact of the latter surpassing the positive one of the former, while the moderating effect of age and gender was supported. Our study contributes to a deeper understanding of MSS purchase intention, and offers important insights to MSS providers. (c) 2019 Inderscience Enterprises Ltd

How do potential users perceive the adoption of new technologies within the field of Artificial Intelligence and Internet-of-Things? - A revision of the UTAUT 2 model using Voice Assistants

The following study investigates the perception potential users have when considering the adoption of voice assistants (VAs). VAs are considered to possess characteristics linkable to both, Artificial Intelligence (AI) and the Internet-of-Things (IoT). This thesis aims to provide a deeper understanding of the determinants influencing the adoption of the new VA technology using the Unified Theory of Acceptance and Use of Technology 2 model (UTAUT 2), a theoretical model explaining technology adoption and usage behaviour. The amount of gadgets being released to the market which possess characteristics of the AI and IoT technology increases constantly, while the 2012 version of the UTAUT 2 model was not constructed for these. In a qualitative approach conducting four focus groups, the aim of this study is to find out about the perceptions of potential future users on the VA technology and as a consequence amend the current UTAUT 2 model to fit newly upcoming technologies which possess similar characteristics as VAs within the AI and IoT field. The study found out that while hedonic motivation seems to be of inferior relevance, the determinants data security, compatibility and relationship with the device are essential influencing factors to take into consideration when trying to fully understand users’ technology adoption perceptions. However, the fact that these technologies are still in the early stage of adoption make it difficult for future users, to fully judge their own adoption behaviour if they are no members of the early innovation adoption curve stages. For further research, it is recommended to look into different sampling groups and apply the model resulting from this study to new upcoming technologies within the area of AI and IoT

Understanding Portuguese young consumers intention to use mobile commerce

In the last decade, e-commerce became popular all over the world. The recent widespread of smartphones transformed a significant part of e-commerce in mobile commerce. Therefore, the aim of this paper is to find out which factors affect consumers intention of using m-commerce through the exploration of a conceptual model to analyze customers’ perceptions of using mobile commerce services for online shopping. This paper aims at anticipating consumer behavior, and providing implications for designers, managers, marketers, and operators related to mobile commerce (mcommerce). In order to test a conceptual model, an empirical investigation with a sample of 183 young Portuguese participants was carried out. It was used a structural equation model (SEM) in order to test the relationships of the model. The results reveal that anxiety, which is an affective obstacle against using new technology, is a key negative predictor of a customer’s intentions to use mobile devices for e-commerce. Additionally, enjoyment, usefulness, and compatibility have an impact on a customer’s behavioral intentions. Also, the consumer’s self-awareness of his/her mobile skillfulness affects anxiety, enjoyment, and usefulness and compatibility. The outcomes of this study help to understand what prevents or encourages the use intention of m-commerce. The results not only help develop a better understanding of mobile commerce theories for researchers, but they also offer viable knowledge to those involved in promoting m-commerce to potential purchasers.info:eu-repo/semantics/publishedVersio

WHAT DO USERS NEED? EXPLORING INFLUENCES ON THE ADOPTION OF MOBILE CONTENT AND THE DIFFERENCES AMONG CATEGORIES OF ADOPTERS

Businesses develop products and services with the goal of earning a satisfactory return on their original investment of time and capital. For their part, consumers seek out products and services that meet a recognized need. However, predicting the adoption rate of any new technology is an inexact science, and some businesses find themselves on the wrong side of the curve. The variables factoring into consumers’ purchasing decisions are manifold and contingent on a wider network of influences. This research suggests that a primary variable that influences consumers’ adoption of a technological innovation (in this case, mobile content) is the perception of 10 proposed Mobile Content Needs. The first goal of this research is to propose a framework for the relationships among the adoption of mobile content, users’ perception of their need for mobile content, and users’ innovativeness, which is a measure of the likelihood to adopt a new product. This research seeks to explore the differences among groups (categories) of adopters in the context of the perceived needs influencing their decision to adopt mobile content. In other words, it examines the prominence of particular mobile content needs for each of the five categories of adopters. This examination provides indirect evidence of how the mobile content adoption process evolves over time in relation to a specific innovation and within specific groups. This research is useful for those seeking to better understand the mobile content market in its totality, in particular the motivations driving different adopter groups. The results of this research may enable the development of more relevant, targeted content, with a surer knowledge of what a potential consumer needs at each stage of the adoption lifecycle. Similarly, this research offers a foundation for more extensive studies in the near future

Explicating Consumer Adoption Of Wearable Technologies: A Case Of Smartwatches From The Asean Perspective

This research aims to determine the key antecedent factors in consumers\u27 adoption of and their intention to recommend smartwatch wearable technology. The proposed research model combines the current technology acceptance and innovation diffusion theories with perceived aesthetic and perceived privacy risk to explain individuals\u27 smartwatch adoption and subsequent recommendation to other people. Based on a sample of 299 completed individual online surveys, the research employed partial least squares (a variance-based analysis method) for the model and hypotheses testing. The results showed some similarities as well as differences from the previous literature. The study found that performance expectancy, habit, and perceived aesthetic were the main predictors of smartwatch adoption. Compatibility was the antecedent factor of performance expectancy, and innovativeness directly influenced user adoption and effort expectancy. Consequently, user smartwatch adoption usually led to recommendation

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

Drivers and consequences of word of mouth communication from the senders’ and receivers’ perspectives: the evidence from the Croatian adult population

This article addresses the issue of predicting and stimulating consumers’ word of mouth communication (WOM). It contributes to the WOM literature by examining and comparing the magnitude of effects of a set of antecedents and consequences of WOM information spread and WOM information seek in one model. The data collected from consumer survey in Croatia were analysed using structural equation modelling (SEM). The results reveal that consumer innovativeness, followed by price sensitivity and attitudes towards advertising are the most important drivers of both WOM variables, whereas the effects are stronger for WOM information seek than WOM information spread. The results also indicate that WOM information seek has a four times stronger effect on buying intention than WOM information spread, which can be utilised by retailers. Accordingly, retailers should focus on WOM information seek and try to stimulate it by introducing new products in the first place, but also with frequent sales, and appealing advertising messages

Music Streaming Services: Understanding the drivers of customer purchase and intention to recommend these services

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThe music industry has undergone strong changes in relation to its production, distribution and consumption habits, due to the exponential development of new technologies, namely streaming platforms. The fact that sales from physical copies continue to decline significantly made it mandatory for this industry to reinvent itself by introducing music streaming services as a key part of the development of its business. This study aims to understand the factors that influence the consumption of music through streaming platforms studying, particularly, the intention to purchase a paid version of a music streaming service and to recommend it. Therefore, an extension of the UTAUT2 model (version of the Unified Theory of Acceptance and Use of Technology, applied to the consumer side) was created. An online survey was used to collect data from 324 music streaming services users and the framework was tested using structural equation modelling (SEM). It also included in-depth semi-structured interviews in order to draw conclusions about the profile of the new music consumer. Our findings verify that habit, performance expectancy and price value play the most important role in influencing the intention to use a paid music streaming service. The intention to recommend these services was also confirmed. With this analysis, centred in UTAUT2 theory, we contribute with new insights about music streaming services consumer behaviour, providing several theoretical and practical implications to music streaming services providers