The Dual Perspective of Social Commerce Adoption

Social commerce is a new type of electronic commerce which uses social networks to facilitate social interactions and user contributions. Since social commerce is still in its early development, there is lack of theoretical model to analyze what factors may affect people’s intention to participate in social commerce. The purpose of this research is to propose a theoretical model to analyze user adoption behavior with the consideration of perceived benefit, perceived risk, and trust believes from both commerce and social networks perspective. The model will be empirically tested through an online user survey. This dual-perspective model may also be extended to study user adoption behavior in new types of e-healthcare or e-government system with strong social network connections

Citizens’ Support for AI Security Surveillance Systems: A Social Exchange Perspective

Artificial intelligence (AI) has tremendously transformed the patterns of security surveillance employed by governments. Although the primary goal of security surveillance is to maintain social order and enhance citizens’ protection, significant privacy concerns were raised for citizens given the unprecedented amount of personal data accessed by various types of AI-powered security surveillance (AISS) systems, such as facial recognition technologies. Nonetheless, policymakers and academia rarely paid attention to the citizens’ views as the main stakeholders of these systems. Motivated by this, in this study, we develop a theoretical model drawing on the assertions of the Social Exchange Theory (SET) to explain the factors and mechanisms that influence citizens’ support for AISS. In particular, we elaborate on the role of privacy-security tradeoff, trust, and power and their interplay in explaining citizens’ supportive attitudes. Potential contributions from this research to theory and practice are also outlined

The Role of SMS in Mobile Data Service Diffusion in China: A Longitudinal Case Study Based on Actor-Network Theory

While Japan’s I-mode failed to be adopted in other countries and WAP also did not succeed in promoting mobile data services, a rather simple technology of SMS made its way to facilitate the growth of mobile data services in China. In this paper, we conduct a case study based on actor- network theory in order to explain 1) how mobile data services are developed and adopted in China, 2) what is the role of SMS in facilitating the development of mobile data services, and 3) what technological and social factors attribute to the adoption process of mobile data services. Drawing upon actor-network theory (ANT), this paper investigates longitudinally the driving forces fueling the development of data services in the China market. By analyzing the network structures formed by the various actors such as mobile data service providers, government departments, technical artifacts, customers, etc., we can better understand the dynamics of the mobile data service development in China and provide valuable references for the rest of the world

Measuring Users’ Privacy Concerns in Social Networking Sites

Social networking sites (SNSs) have become increasingly popular in recent years. These websites allow millions of individuals to create online profiles and disclose information with others. The disclosure of personal information has been considered as a major issue which can lead to negative consequences; therefore, privacy is a major concern of SNSs users. It is important to understand and measure the complexity of privacy concerns in SNSs. In this study, we investigate the nature of users’ privacy concerns in SNSs and its differences with information privacy concerns which previously studied in the setting of Internet and e-commerce. We then propose a new scale for measuring users’ privacy concerns in SNSs (UPCSNS) which will be useful for future SNSs privacy studies

What Factors Contributed to the Success of Apple\u27s iPhone?

Unknown to most North American consumers, a mobile data and Internet service in Japan called i-mode has been highly successful in that country for the past decade. Unfortunately, mobile data services in North America have lagged behind many European and Asian countries. However, the situation changed rapidly with the iPhone, launched in the US in June 2007. Consumers lined up for days for the chance to purchase one, and over 500,000 units sold on the first weekend. Since that time, over 42 million iPhones have been sold, arguably making it one of the most successful mobile phone products ever launched. What is it that makes the iPhone such a success? In this paper we define a set of success criteria to investigate the success of the iPhone and propose a comprehensive success model. The success model can be used by both academics and practitioners to understand the reasons why, and ways to ensure that mobile data and commerce services become successful

Employees\u27 Attitude towards a Digital Teammate - Will AI-enabled Chatbot Lead to Enhancing Employees’ Job Identity?

Recently Artificial Intelligence (AI)-enabled conversational agents or chatbots (ICA hereafter) have been widely introduced in online customer service, and are expected to transform the frontline workforce. However, most studies from employees’ perspectives have been qualitative in nature. Moreover, extant empirical studies perceive ICA as a tool rather than considering ICA as an AI-enabled digital workforce. Besides, rare papers moved further to explore the rooted psychological drivers (such as identity) underlying the employees’ actions. To address these gaps, our paper integrates the identity theory and cooperation perspectives to examine the impact of ICA’s human-like capability on employees\u27 job identity through the enhancement in work experience. Our study is expected to provide an innovative perspective viewing ICA as a human-like agent rather than a tool in behavior studies. This study also enriches the identity theory and cooperation-competition theory and promotes their applications in IS literature