User Acceptance of the Next Generation Digital Signage: A Perspective of Perceived Value

The next generation digital signage (NGDS) has become extremely important as a new innovative information system that provides interactive information to users by capturing contextual information through the utilization of the state-of-the-art technologies. NGDS gets wide popularity from millions of people due to its advanced information services that fit in with the individual’s digitizing life style. Despite the increasing importance, however, there is a significant gap of our understanding on the user acceptance of NGDS. Motivated thus, this paper aims to develop a research model to explore the factors influencing the user acceptance of NGDS from the perspective of perceived value. The four dimensions of perceived value are proposed as key antecedents: utilitarian value, hedonic value, social value, and epistemic value. In particular, our interest is on their impacts on users’ satisfaction, continuance intention, and positive word-of-mouth (WOM). The pilot study results indicate that utilitarian value increases satisfaction, continuance intention, and positive WOM. Moreover, hedonic value increases satisfaction and positive WOM, while social value increases positive WOM only. Also, epistemic value increases satisfaction and positive WOM. This research is expected to advance the theoretical understanding on the user acceptance of NGDS and offer organizations useful insights to manage their NGDS

Does External Knowledge Sourcing Enhance Market Performance? Evidence from the Korean Manufacturing Industry.

Firms continuously search for external knowledge that can contribute to product innovation, which may ultimately increase market performance. The relationship between external knowledge sourcing and market performance is not well-documented. The extant literature primarily examines the causal relationship between external knowledge sources and product innovation performance or to identify factors which moderates the relationship between external knowledge sourcing and product innovation. Non-technological innovations, such as organization and marketing innovations, intervene in the process of external knowledge sourcing to product innovation to market performance but has not been extensively examined. This study addresses two research questions: does external knowledge sourcing lead to market performance and how does external knowledge sourcing interact with a firm's different innovation activities to enhance market performance. This study proposes a comprehensive model to capture the causal mechanism from external knowledge sourcing to market performance. The research model was tested using survey data from manufacturing firms in South Korea and the results demonstrate a strong statistical relationship in the path of external knowledge sourcing (EKS) to product innovation performance (PIP) to market performance (MP). Organizational innovation is an antecedent to EKS while marketing innovation is a consequence of EKS, which significantly influences PIP and MP. The results imply that any potential EKS effort should also consider organizational innovations which may ultimately enhance market performance. Theoretical and practical implications are discussed as well as concluding remarks

Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber‐physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co‐occurrence, and growth‐rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context‐aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet

Proposed research model

<p>Proposed research model</p

Correlations of latent variables

<p>Correlations of latent variables</p

Discriminant validity (cross-loadings)

<p>Discriminant validity (cross-loadings)</p

Study conceptual framework

<p>Study conceptual framework</p