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This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network documents and paves the way for sentiment analysis of tweets in further research.

This study classifies negative tweets and analyses their features.

Through negative tweet content analysis, tweets are divided into ten topics. Many related words and negative words were found. Some indicators of negative word use could reflect the degree to which users release negative emotions: part of speech, the density and frequency of negative words and negative word distribution. Furthermore, the distribution of negative words obeys Zipf’s law.

This study manually analysed only a small sample of negative tweets.

The research explored how many categories of negative sentiment tweets there are on Twitter. Related words are helpful to construct an ontology of tweets, which helps people with information retrieval in a fixed research area. The analysis of extracted negative words determined the features of negative tweets, which is useful to detect the polarity of tweets by machine learning method.

The research provides an initial exploration of a negative document classification method and classifies the negative tweets into ten topics. By analysing the features of negative tweets, related words, negative words, the density of negative words, etc. are presented. This work is the first step to extend Plutchik’s emotion wheel theory into social media data analysis by constructing filed specific thesauri, referred to as local sentimental thesauri.

This paper aims to study the factors influencing online social network (OSN) information diffusion under different themes helps to understand information diffusion in general.

This study collects data from the Web of Science, use the strategic consulting intelligent support system for word frequency analysis and use keyword clustering to classify themes, then research information themes as influencing factors of OSN information diffusion.

Five themes of “natural disaster”, “political event”, “product marketing”, “sport and entertainment” and “health-disease” have been identified. It is found that the research objects, research methods and research theories used by scholars under different themes have different focuses, and the factors affecting information diffusion are different.

The limitation of this paper is that it only focuses on five typical themes, and there may be more themes.

The research helps other scholars to conduct in-depth research on the diffusion of OSN information under different topics and focus on the content of the research on OSN information diffusion under different topics.

The research helps other scholars to conduct in-depth research on the diffusion of social network information under different topics, so as to better understand and predict the law of information diffusion.

The research summarizes the research on information diffusion in OSNs from the theme level and analyses the key points and theories and further enriches the research system on information diffusion in OSNs.

The purpose of this article is to introduce micro-credentials as an innovative, personalized professional development modality. With traditional time bound professional development (PD) offering largely whole group instruction with little feedback or a focus on skill mastery, micro-credentials have the ability to develop educator skills, provide relevant content, encourage flexibility, and measure earner mastery. Although relatively new, state leaders and administrators are exploring the use of micro-credentials to improve educator practice at the individual level. Such efforts encourage systems change aligned with new technologies and advancements.

This article is designed to review the impetus for the use of micro-credentials in education and the potential this personalized professional development has to change and improve traditional support of educators' professional growth and skill development. We structured the article to first introduce the possibilities micro-credentials (MCs) have in initiating systems change in education. We then define MCs and explore their use in state policy. Additionally, we present the benefits MCs offer and how an individual would select and complete one. To conclude, we connect all elements in the article and emphasize the need for further research and analysis.

Findings from our review indicate that 9 states are currently exploring the use of micro-credentials in their state ESSA plans. We recognize that there are several benefits of micro-credentials that make them appealing to state leaders and administrators. These include personalization, competency, flexibility, cost efficiency, and collaboration. It is noted that a large number of organizations are offering micro-credentials and it is most often the responsibility of educators to determine which micro-credentials meet their needs and may be utilized for continuing education credit. Steps in earning micro-credentials are similar across platforms, though content, assessment expectations, and depth vary widely.

Rapid strides in technology have created change and advancements to societal norms, required workforce skillsets, and personalization. As a result, leaders in education are exploring new and innovative ways to provide professional development to educators. This article will introduce the concept of micro-credentials and explore their focus on personalization, competency-based learning, flexibility and skill development. Individuals interested in shifting the delivery and methodology of traditional PD will be intrigued by the potential micro-credentials offer and the work that is currently being done to explore this PD option.

This study investigated whether there are differences in the effects of green traditional media communication (GTMC) and green social media communication on consumers' intention to cocreate green value (ICGV) in post-COVID-19 China. The authors further tested the chain mediating role of cocreation efficacy and cocreation outcome expectation and the moderating role of perceived CSR image.

Using a survey, we collected a dataset of 683 consumers through stratified random sampling in main shopping malls in four Chinese cities. Structural equation modeling (SEM) was used to test the conceptual framework and hypotheses, and bootstrapping was used to estimate the mediated standardized regression coefficients. Multiple linear regression analysis was used to test the moderating effect.

GTMC, firm-created content (FCC), and user-generated content (UGC) all had positive effects on ICGV. Cocreation efficacy and cocreation outcome expectation had a chain mediation effect in GTMC and ICGV, UGC, and ICGV. Perceived CSR image positively moderated the effects of both GTMC and FCC on ICGV. However, perceived CSR image did not significantly moderate the relationship between UGC and ICGV.

This study contributes to our understanding of the effect of green media communication on consumers' ICGV in post-COVID-19 China. It also develops the concepts of cocreation efficacy and cocreation outcome expectation. Moreover, analyzing the chain mediating role of cocreation efficacy and cocreation outcome expectation in green media communication and ICGV extends social cognitive theory to the context of green value cocreation. Finally, examining the moderating role of perceived CSR image provides a basis for understanding the boundary conditions of green media communication's effect on ICGV.

This study explores the effects of different types of technology lock-in on enterprise innovation performance. On this basis, the authors aim to provide technological innovation suggestions for the long-term development of Chinese enterprises.

A total of 211 high-tech enterprises in China were taken as the research sample. Data were collected through questionnaire surveys and secondhand data. Linear and nonlinear regression models were used to test the hypotheses.

Different types of technology lock-in had different effects on enterprise innovation performance. Initiative lock-in and passive lock-in showed an inverted U-shaped relationship with innovation performance. Economies of scale were positively correlated with innovation performance, while self-lock-in was negatively correlated with it.

This research can help enterprises reconceptualize technology lock-in. It can also help enterprises in different stages of development carry out targeted technological innovation and management strategies.

This research enriches our understanding of technology lock-in. By breaking with previous conceptualizations of a simple linear relationship between technology lock-in and innovation performance, this study proposes and confirms different technology lock-in has different relationships with enterprise innovation performance. This study is important for enterprises to reassess their technology lock-in state and carry out targeted technological innovation strategies. This research enriches the theory of path dependence and its combination with other theories. And this study also reveals the current research on technology lock-in is insufficient.

The purpose of this paper is to compare the effects of equity financing and debt financing on technological innovation, and prove that the enhancement of a financing system’s risk tolerance for technological innovation can enhance the innovation risk preference of enterprises and thus promote innovation.

This study is based on a transnational sample of 35 developed countries from 1996 to 2015, by using the panel econometric model to empirically examine the effects of two financing modes on innovation.

The findings showed that equity financing, which has higher risk tolerance, has a more positive impact on innovation than debt financing in terms of both economic uptrend and economic downtrend, and that government efficiency plays a significant role in supporting the performance of technological innovation.

The paper provides a research framework for examining how a financing system’s risk tolerance capacity affects the development of technological innovation through promoting risk preference among enterprises. This paper provides transnational and cross-cycle comparative evidence that equity financing with a strong risk tolerance capacity can better support technological innovation, even in periods of economic downtrend. Moreover, the importance of financing system’s risk tolerance capacity for innovation during economic crises is discussed.

Microblogging is an important channel used to disseminate online public opinion during an emergency. Analyzing the features and evolution mechanism of online public opinion during an emergency plays a significant role in crisis management.

This paper uses the event of Hurricane Irma and combines it with the life cycle of online public opinion evolution to understand the effect of different types of emotional (joy, anger, sadness, fear, disgust) microblogs (tweets) on information dissemination. The research was performed in the context of Hurricane Irma by using tweets associated with that event.

This paper demonstrates that negative emotional information has a greater communication effect, and further, the target audience that receives more exposure to negative emotional microblogs has a stronger tendency to retweet. Meanwhile, emotions expressed in tweets and the life cycle of public opinion evolution exert interactive effects on the retweeting behavior of the target audience.

For future research, a professional dictionary and the context should be taken into consideration to make the modeling in the text more normative and analyzable.

This paper aims to reveal how the emotions of a tweet affect its virality in terms of diffusion volume in the context of an emergency event.

The conclusion made in this paper can shed light on the real-time regulation and public opinion transmission, as well as for efficient intelligence service and emergency management.

In this study, Hurricane Irma is taken as an example to explore the factors influencing the information dissemination during emergencies on the social media environment. The relationship between the sentiment of a tweet and the life cycle of public opinion and its effect on tweet volume were investigated.

For an entrant platform in the on-demand service market, choosing an appropriate employment model is critical. This study explores how the entrant optimally chooses the employment model to achieve better performance and investigates the optimal pricing strategies and wage schemes for both incumbent and entrant platforms.

Based on the Hotelling model, the authors develop a game-theoretic framework to study the incumbent's and entrant's optimal service prices and wage schemes. Moreover, the authors determine the entrant's optimal employment model by comparing the entrant's optimal profits under different market configurations and analytically analyze the impacts of some critical factors on the platforms' decision-making.

This study reveals that the impacts of the unit misfit cost of suppliers or consumers on the pricing strategies and wage schemes vary with different operational efficiencies of platforms. Only when both the service efficiency of contractors and the basic employee benefits are low, entrants should adopt the employee model. Moreover, a lower unit misfit cost of suppliers or consumers makes entrants more likely to choose the contractor model. However, the service efficiency of contractors has nonmonotonic effects on the entrant's decision.

This study focuses on an entrant's decision on the optimal employment model in an on-demand service market, considering the competition between entrants and incumbents on both the supplier and consumer sides, which has not been investigated in the prior literature.

The paper aims to investigate the new market entry strategy of the international grocery retailers Aldi Süd and Costco in China; analyzing if and how their prior-online market entry reflects a strategic response to organizational challenges in the Chinese market, which is a pioneer in the use of digital technologies and the provision of digital services.

The article identifies major challenges faced by international grocery retailers in China and discusses these with the help of the conceptual approach of embeddedness. The paper is based on expert interviews with senior executives of the two international retailers and other retail specialists and consultants.

The prior-online market entry by Aldi Süd and Costco represents a strategic response to organizational challenges that have to be faced in an increasingly challenging and highly digitalized Chinese market. Prior-online market entry allows the two retailers to experiment with the unique and heterogeneous Chinese market and build network and territorial embeddedness to facilitate the establishment of the physical store network. Both retailers utilize online stores to build relation and network with suppliers and customers and to understand Chinese consumer preferences. Yet, the localization strategy of Aldi Süd and Costco vary greatly.

Grocery retailers' prior-online expansion strategy has not yet been the focus of academic research. In regard to global grocery retailers, such as Aldi Süd and Costco, previous research argued that they were prepared to accept a lower expansion speed in order to expand at minimum risk and cost and mainly in countries which are regarded as having higher cultural proximity. The paper reveals the potential of the prior-online market entry strategy to change the internationalization behavior of grocery retailers. In addition, it contributes to the understanding of the evolution of market entry strategy into advanced digital economies in the coming new decade.

To examine the relationships among website design features, consumer experience responses and patronage intention toward online mass customization (OMC) apparel websites.

A total of 312 useable online surveys were obtained from Mainland China consumers. Multi-item scales were adopted to measure eight constructs: visual design; information quality; entertainment, aesthetic, educational, escapist experiences; flow; and patronage intention. Structural equation modeling (SEM) was conducted to determine factor structures and to test the hypothesized relationships among website design features, 4Es (entertainment, aesthetic, educational and escapist experiences), flow and consequent purchase intention toward OMC apparel websites.

All hypotheses, but one, were supported. OMC website visual design; information quality; and entertainment, aesthetic and educational experiences had a positive effect on consumer patronage intention.

Limitations include using a sample of consumers from major cities in China; results cannot be generalized to all Chinese consumers. Websites were not actively navigated. Additionally, the present study examined only two dimensions of OMC website quality, visual design and information quality; more tangible and specific features could be considered in future research.

The findings provide website designers and marketers with insights into experiences that may lead to an increase in patronage intention toward OMC websites.

The study provides evidence that flow helps explain the impact of experiential value (i.e. 4Es) from website design features on patronage intention.