Search results

The purpose of this paper is to gain an understanding of the current research on Internet-plus.

The authors collected scholarly publications from the scientific databases Web of Science, Core Collection, Inspec and Compendex (Ei Village 2) and performed statistical analysis of the retrieved data from five perspectives.

The research on Internet-plus has obtained increasing attention in China. The top three research fields were social science, education and management.

The study will help researchers understand the current trends on Internet-plus.

Although internet plus government platforms (IPGPs) are being increasingly used by citizens around the world, questions emerge regarding the public adoption, utilization and use of IPGPs. This study aims to explore the determinants of citizens’ differentiated IPGPs usage behaviors.

An analytical framework has been built upon the rational choice theory and the cultural dimension theory. The present study draws on a survey of 866 citizens from Guangzhou, Wuhan and Chengdu.

The empirical findings suggest that the perceived functional benefits and personalization features both significantly affect citizens’ informational, service and participatory uses of IPGPs, to varying degrees. Furthermore, long-term orientation plays a moderating role in the relationship between perceived functional benefits and the service use of IPGPs.

The findings demonstrate that the public’s rational choice of a new digitalized service channel depends on to what extent and to what degree the absolute and relative benefits they consider important compare to other possible channels. Users also consider how the new service channel satisfies their personalized demands of digitalized services. Also, users’ long-term orientation can affect their rational choices by adjusting the perceived functional benefits of the channel when that channel is used for service transactions.

The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.

This study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.

The analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.

The case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

Although governments have used social media platforms to interact with the public in an attempt to minimize anxiety and provide a forum for public discussion during the pandemic, governments require sufficient crisis communication skills to engage citizens in taking appropriate action effectively. This study aims to examine how the National Health Commission of China (NHCC) has used TikTok, the leading short video–based platform, to facilitate public engagement during COVID-19.

Building upon dual process theories, this study integrates the activation of information exposure, prosocial interaction theory and social sharing of emotion theory to explore how public engagement is related to message sensation value (MSV), media character, content theme and emotional valence. A total of 354 TikTok videos posted by NHCC were collected during the pandemic to explore the determinants of public engagement in crises.

The findings demonstrate that MSV negatively predicts public engagement with government TikTok, but that instructional information increases engagement. The presence of celebrities and health-care professionals negatively affects public engagement with government TikTok accounts. In addition, emotional valence serves a moderating role between MSV, media characters and public engagement.

Government agencies must be fully aware of the different combinations of MSV and emotion use in the video title when releasing crisis-related videos. Government agencies can also leverage media characters – health professionals in particular – to enhance public engagement. Government agencies are encouraged to solicit public demand for the specific content of instructing information through data mining techniques.

This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation.

The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms.

The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process.

The case sample is relatively small, which is a typical trade-off in qualitative research.

A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation.

When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience.

Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.

The purpose of this paper is to analyze and determine the best course of action for policymakers in China when dealing with the implementation of best practices for the internet of things (IoT). The recently introduced Internet Plus strategy is an attempt by Chinese policymakers to boost the Chinese economy by diminishing its reliance on manufacturing and export in favor of a knowledge-based economy driven by services and the tech sector. The IoT is arguably one of the key drivers behind this transformation.

This paper conducts an analysis of existing literature on the IoT and uses two complimentary theories, resource-based view and dynamic capabilities theory, to determine a set of policy recommendations.

A cooperative relationship between policymakers, start-up firms and academia is essential to the success of the IoT. The artificial intelligence industry also plays a key role in the development of the IoT and requires strategic funding and favorable policy. Finally, established and cost-effective standards and practices are much more likely to be effective than new and costly alternatives.

This paper examines the newly established field of the IoT and sets out a number of policy recommendations needed for its success. To achieve this, the author uses two complimentary theories unique to the business management field but increasingly compatible with the Chinese public policy sector.