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In mobile platforms, an increasing number of third-party developers (developers) create new ideas and enhance their expertise through knowledge sharing on the developers’ community. Notwithstanding the importance of the sharing and its uniqueness on the mobile platform contexts, the motivational factors of sharing their knowledge on the community have been underinvestigated. Therefore, this paper aims to provide a comprehensive framework to enhance the knowledge sharing in the mobile platform context.

Based on the theory of reasoned action, this paper incorporated intrinsic and internalized extrinsic motivations with two unique features of platform environments: platform open policies and coopetitive relationships. To test, an online survey was distributed to four developer communities in Korea, two Android and two iOS communities.

The results show that a platform pursuing higher openness causes the developers to find higher social pressure for information sharing. The coopetitive relationship with other developers in the same platform takes dissimilar roles; reciprocity significantly increases subjective norm, while rivalry does attitude. Self-efficacy and self-development stimulate knowledge sharing. Furthermore, multilevel analysis to capture the difference between two leading mobile platforms indicates no path difference but, interestingly, shows significant mean difference between the two platforms regarding perceived openness and rivalry.

With this paper, the authors fulfill the need to understand the knowledge-sharing intention of developers in the context of mobile platforms where developers can be potential competitors or cooperators and where two platforms offer different policies and developmental environments.

In the actual livestreaming background, to obtain more income, some broadcasters will transform their original single role orientation into mixed one. This research study aims to conduct an empirical study on the influence of the broadcasters' role orientation transformation on the viewers' tipping behavior.

The authors collect data from Kuai, a leading online live streaming service provider in China. The dataset includes 175,701 live streaming data from 971 broadcasters in 7 months. To avoid unobservable factors, the authors adopt two difference-in-differences (DID) models to estimate the effect of two kinds of broadcaster's role orientation transformation on the broadcaster’s direct income separately. And the authors use the Heckman-type correction to solve broadcasters’ self-selected problem.

The authors evaluated that there is a U-shape relationship between the broadcasters' role orientation transformation and their direct income. The broadcasters' direct income experienced a sharp decline for a short period of time after transformation and followed by a rise after a period of adaptation. And for broadcasters with different genders and amounts of fans, the influence degree of role orientation transformation is various.

This paper provides a fresh usage of the regulatory engagement theory in the brand new information communication technology. And it also explores the boundary effect of the participating object's self-factors in the regulatory engagement theory. Besides, this paper expands the research of livestreaming into natural background. Such results also provide operable suggestions for the livestream platform, the broadcaster himself and the enterprises who want to employ some broadcasters to recommend their products.

This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables.

The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters.

PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA.

For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2.

Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations.

The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed.

This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.

The purpose of this paper is to examine the propensity to use e-government services in post-communist countries in the European Union.

A survey was conducted among 7,984 respondents from the states of Bulgaria, Romania, the Czech Republic, Slovakia, Hungary, Poland, Lithuania, Latvia, and Estonia. The analysis focused on the following manifestations of e-administration usage in these countries: viewing websites run by public administration bodies, making contact with public administrations via e-mail, downloading the forms necessary to obtain a public service, sending completed electronic forms to appropriate offices, and contacting politicians, activists, or offices electronically to discuss matters important for a region or the whole state.

The results of the analysis presented in this paper show that there is a statistically significant relationship between the state of the respondent’s residence and the propensity to use particular forms of e-government.

Decision makers should create incentives to popularize electronic signatures, which are necessary to fully settle a matter in public offices via the internet. They could use financial assistance offered by the European Union to implement this technology. Moreover, they should award bonuses to private persons or entrepreneurs who use Information and Communication Technology (ICT) in their contact with the state administration, for example, by way of charging less for issuing a driving license, building permits, or other documents necessary to apply for a building permit. The use of ICT in the client-administration relationship would reduce corruption levels by limiting direct contact and allow for reconstruction of all of the digital records to apply for a given permit, document, etc.

With the rapid growth of internet (and e-commerce) worldwide, the public administration sector has many opportunities, especially in a developing democracy. The paper is unique because it shows data collected from almost 8,000 respondents and it presents a comparison of the use of e-government among citizens of nine European Union member states.

In the current post-human society, artificial intelligence (AI) and algorithms are rapidly being deployed in newsrooms around the world to enhance processes of news idea conception, newsgathering, writing, packaging and dissemination. Although AI adaptation has been ongoing especially in Western Newsrooms over the last decade, this process is only budding in sub-Saharan newsroom contexts. This study explores perceptions, use, prospects and challenges in the adaptation of AI and algorithms in newsrooms. This qualitative survey draws insights from 33 respondents from newspapers, radio stations, online media and community media in Uganda, Tanzania, Rwanda and Ethiopia. The study found varied levels of AI adoption in several newsrooms with some newsrooms not yet using AI while others were fully experimenting with a variety of tools, functionalities – even producing their own AI tools and also in change employment patterns to accommodate the skills needed within this new field. In some of the ‘inactive AI newsrooms’ individual journalists took the onus on themselves to learn and use the disruptive technologies and while the general attitudes towards AI were positive among journalists, the attitudes among management was generally considered poor. The study concludes for the benefits to be maximally leveraged, several of the bottlenecks in application must be addressed. These include the integration of ‘humans-in the loop’, journalistic principles, decolonial and local contextual perspectives in AI development and use. Such perspectives and synergies would need to be drawn from media ecosystems – including journalism education, research, policy, industry and developers.