How Airbnb Conveys Social and Economic Value through User Representation

New platforms for renting and sharing among private individuals are emerging in today’s e-commerce landscape. Airbnb can be regarded as a representative of many such platforms. Such accommodation rental commonly implies shared usage where both host and guest occupy a space at the same time, involving social interactions that can provide additional value. Drawing on social reward theory, this paper proposes a research model that links the guest’s intention to book to the host’s user representa-tion via the pathways of social and economic value. We propose a design to evaluate our research model by means of a scenario-based online experiment, including the common elements of user repre-sentation (1) text reviews, (2) profile information (e.g., occupation, hobbies and interests), (3) star rating, and (4) the listing price. With this, we expect to contribute to a better understanding of the driving factors behind guests’ booking decisions in accommodation sharing

What drives consumers' e-loyalty to airlines web site? Conceptual framework and managerial implications

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure continuance intentions of online shopping for airlines web sites. The sample respondent 465online users in Saudi Arabia. A structural equation model confirms model fit. Perceived usefulness, enjoyment, social pressure, and loyalty incentives are determinants of online flight booking continuance in Saudi Arabia. This research moves beyond online booking intentions and includes factors affecting online booking continuance. The research model explains 53% of the intention to continue booking using airlines web sites

A Meta Analysis on Adoption of Mobile Financial Services

During the last decade, there has been tremendous growth in mobile penetration in many countries across the globe including a number of developing countries. The total number of mobile subscription 5 billion by the end of 2010 and is further expected to grow multi-folds. On the other hand, around 2.5 billion adults worldwide do not have a savings or credit account with either a regulated bank or alternative financial institution (such as a microfinance institution). Around one billion people in emerging markets have a mobile phone but no access to banking services. This scenario has opened immense opportunities for organizations including banks, insurance companies and telecom operators to strengthen their customer base and increase revenue by providing various financial services to the consumers through mobile technology. Hence, it becomes very important to understand the factors that would act as drivers or inhibitors towards the adoption of mobile financial services (MFS). Quite a few studies have been conducted across the globe to determine the factors affecting adoption of MFS. This paper provides a Meta analysis of the existing academic literature on MFS and determines the strength of the factors and their linkages through a scoring model based on the type of publication. The findings of the study would be beneficial for further research in understanding the dimensions to be considered for developing adoption model for MFS. The findings can also be used by the practitioners involved in MFS in understanding the factors affecting demand for such services.

Exploration of location-based services adoption

As mobile technologies become more ubiquitous in the general population, it is reasonable to assume that individuals will consume services and software to enhance their aspirations and entertainment desires. This paper discusses a controlled experiment to explore aspects of user perceptions of their use of location-based services. This study examines a location-based service prototype experiment and analysis based on the UTAUT model. The results show significant indicators that suggest behavior patterns of early adopters of location-based services are being observed. We discuss these influences and attempt to explain their significance. Moreover, more curiously we discuss why some of our model was unsupported and postulate why

The Impact of Live-Streaming Shopping Characteristics on Behavioral Intention of Shoppers

Currently, live-streaming shopping has become one of the popular approaches to conducting business.  Businesses shift from traditional online shopping to live-streaming shopping approach because of the benefits that live-streaming shopping could offer.  This paper aims to study the impact of live-streaming shopping characteristics on behavioral intention among shoppers.  Researchers used literature analysis and a Stimulus-Organism-Response (S-O-R) framework as the methods of the study.  The findings showed that all characteristics had a positive impact on the behavioral intention of shoppers.  The limitation of the study was the researcher focused only on the Stimulus and Response of the framework; the Organism factor of the framework was omitted

Role of Live E-Commerce on Consumer Purchase Intentions

Purpose:  Live streaming is one of the many options that e-commerce offers to enable retailers to advertise goods in real time through live video.   Theoretical framework:  In the framework of online shopping research, perceived value and trust received are considered significant variables of cognitive response expressing interaction with external stimuli.   Design/methodology/approach:  It gives information and makes it possible for synchronous information exchange between the online viewer (consumer) and the Internet celebrity, who ultimately influences the customers' information-seeking behavior and aids the company in making long-term profits. From live streaming to cutting-edge buying, China has led the way in global innovation in online commerce.   Findings: The results showed a positive correlation between social interaction, entertainment, and purchase intent for live commerce, but no connection between purchase intent and visualization or professionalization was discovered. Entertainment has the most impact on viewers' intent to buy during live streaming.   Research, Practical & Social implications:  The live-streaming e-commerce industry is anticipated to continue growing with the rapid development of contactless communication. Live-streamed e-commerce goes beyond the conventional idea of only selling goods or services.   Originality/value:  Future researchers and business professionals can utilize this study as a benchmark to increase viewers' intent to buy during live streaming

Information Technologies and System Evaluation: Uses and Practices in the Online Context

The purpose of this paper is to have a clear understanding of user’s management strategies’ in an online information technologies environment. The contribution focuses on a recent exploratory study carried out with notarial e-tourism platforms for a better understanding of design evaluation and uses. The conceptual framework links various dimensions with a strategic perspective in the information science and technologies domains: online information design evaluation. We develop a conceptual model emerging from the review of existing literature. We identify that homepage construction, users’ satisfaction, Web 2.0 technologies and social media initiatives are key factors affecting positively the website design effectiveness. We stress that even though the different dimensions can be considered separately, as they have an interdependent and a positive correlation with platform performance. Research finding are used as a basis for developing prescriptive guidelines to better direct the activities for designing and developing e-commerce online platforms. &nbsp

Key Influencers of Attitude and Intention to Shop Online Through Live Broadcasting Platform Among Middle-Aged Consumer’s in Chengdu, China

Purpose: This paper mainly discusses the significant influencing factors of middle-aged consumers’ attitudes and intentions toward online shopping live broadcasting platforms in Chengdu, China. The conceptual framework gives the causal relationship between variables, which include online shopping intention, attitude, perceived ease of use, perceived usefulness, trust, perceived risk, subjective norm. Research design, data, and methodology: This study used a non-probability analytical method to explore the factors that influence the attitudes and intentions of middle-aged consumers in Chengdu towards online shopping live streaming platforms. The authors distributed 30 questionnaires to some of the respondents who met the sample unit characteristics. After data collection, confirmatory factor analysis (CFA) was used to evaluate the convergent and discriminant validity. Then, the suitability of all hypotheses and models was tested using structural equation modeling (SEM). Results: The result indicates that attitude significantly impacts the intention to shop online, followed by the subjective norm. Perceived ease of use, perceived usefulness, and trust significantly impact attitude, with perceived ease of use being the most affected, followed by trust. Conclusions: It is recommended that online shopping live broadcasting platform operators pay attention to the shopping experience of middle-aged consumers, improve the platform's ease of use, increase consumer trust, and take further measures to attract consumers to the platform