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Electronic content, today’s principal means for information exchange, is dramatically reshaping how businesses compete and meet their goals and performance objectives. Now that the essential structure of business information technology, the Internet and supporting software tools has been built, the competition for strategic business advantage is shifting to focus on how companies use these tools to enable their people to compete through ready access to relevant and critical knowledge as they need it. E‐Content encompasses the world of electronic office documents, e‐mails, sites on the free web and premium content from subscription and syndicated publishers. It is integrated through a variety of authoring and content sharing tools from search engines and evolving content aggregation systems to newer forms of real time communication and electronic authoring including instant messaging, blogs, and text messaging through cell phones and other portable devices. As the sheer amount of available information and means of use proliferate, the need is growing for companies to include knowledge sharing via electronic content as a key element in their overall strategy. The fundamental strategic issue is empowering the people and decision makers who drive the business with relevant information in real time. E‐content provides the core of the business and competitive advantage lies in the immediacy of access, exchange and providing a meaningful flow of real‐time to the people who make decisions and the people who execute them. This article presents a structured model of the e‐content playing field and demonstrates how the integrated system for creating, delivering, using and sharing e‐content should be factored into strategic considerations for all businesses.

This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.

This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.

Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.

The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.

From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

While the information source is likely to affect job search process, it is still unknown how the information source interacts with the information content and information valence. In this study, first, the authors examine the influence of information source, information content, and information valence on employer attractiveness and job pursuit intention; and second, the authors estimate the interaction of information source with content and valence of information on employer attractiveness and job pursuit intention.

The authors adopted a 2 (information source: company-independent vs company-dependent) x 2 (information content: instrumental vs symbolic) x 2 (information valence: positive vs negative) between-subject factorial design to achieve the study’s research objectives, using a sample of 240 job applicants; and applied multivariate analysis of covariance for estimating the main and interaction effects.

The authors find a significant interaction of information source with the content and valence of information, indicating a differential effect of content and valence, depending on the information source. The study reveals that the effect of information content (i.e. symbolic vs instrumental) on employer attractiveness varies depending on the source of information (i.e. company-independent vs company-dependent), with the company-independent source having a higher effect than the company-dependent source.

Considering that the information source has a differential effect on job seekers, it would be useful to account for such differences in designing recruitment communications. Results guide managers in deciding the appropriate recruitment information outlet for communicating symbolic and instrumental attributes. The use of symbolic attribute content is recommended for generating favourable evaluations about an employer.

This study is a novel attempt to examine on how information source interacts with information content type and information valence in influencing recruitment outcomes. The authors provide valuable insights to human resource managers or employer brand managers to design effective recruitment communications and leverage the company-independent information sources appropriately.

The purpose of this paper is to investigate the information content in letters to shareholders in terms of business content, tone and types of business vocabulary.

The study uses multiple regression models to test the information content concerning business content, tone, and types of business vocabulary in letters to shareholders. Two textual analyses in accounting research dictionaries are used. Loughran and McDonald’s (2011) dictionary is used as a scheme to identify the positive and negative words, and Kothari et al.’s (2009) dictionary is used to identify the business vocabulary.

Letters to shareholders contain incremental information for investors. First, the results show that the market reacts negatively to the content of these letters. The more that business content is disclosed, the lower the abnormal returns. It can be seen that investors catch additional information from letters to shareholders. Second, investors in negative unexpected earnings firms tend to not trust the concentration of positive tone in the letters. Third, some types of business vocabulary in the letters have an influence on investors’ decisions. In addition, larger amounts of business content are seen to be negatively related to firms’ future performance.

Due to the effect of the content of letters to shareholders, the Securities Exchange Commission may wish to consider the results of this study before setting new disclosure regulations. Specifically, some inside information might have a negative effect on market returns.

The study indicates that letters to shareholders are a disclosure venue between companies and investors, where investors react to certain business vocabulary. Some business words are associated with lower future performance. Therefore, the market reacts negatively when these words are reported in the letters.

This paper aims to explore whether internal context – decision-makers’ perception of characteristics of the information content – might predict the variation in adoption rates of different types of content, and whether innovation adoption theory might represent important factors of this decision-making process Corporate management decides what types of environmental information content to disclose/adopt.

Actual adoption rates of 13 information content categories are computed using content analysis of annual reports for 62 listed companies. Each content category is seen as an innovation the company decides to adopt or not. Interviews with management in several companies illustrate the decision process of disclosure, and help predict adoption rates. Predicted and actual adoption rates are compared.

Adoption rates vary considerably among the 13 types of content. The absolute level of adoption rates is affected by company size and environmental risk. However, those content categories that have either relatively high or low adoption rates are consistent among the subsamples, regardless of these corporate characteristics. This consistent variation in adoption rates seems to be predicted well by innovation adoption theory and its focus on the five attributes of the information itself: compatibility, trialability, complexity, observability and relative advantage.

The theoretical framework allows for different or changing internal and general contexts, and should be applicable to other settings, even though the particular predictions for adoption rates in this paper may not be applied as such.

The level of analysis is changed from company level, which dominates previous research, to information content (individual content categories). Perceived attributes of the information content itself and innovation adoption theory are used for the first time to explain reason for the reporting practice, and are considered fruitful tools to predict consistent variations in adoption rates among different types of content. This approach provides new insight into the driving forces of supply of disclosure.

The purpose of this paper is to provide a review of content management in the context of information architecture.

The method adopted is a review of definitions of information architecture and an analysis of the importance of content and its management within information architecture.

Concludes that reality will not necessarily match the vision of organisations investing in information architecture.

The paper considers practical issues around content and records management.

The role of social media in the tourism industry growth cannot be ignored, because today the internet and social media platforms are one of the most popular information channels used by potential tourists and have become one of the main sources of online travel information. This study investigates the role of content cues of tourism information quality provided in Elie Gasht firm's Instagram page on enhancing awareness of the destination brand and forming users' destination image.

A quantitative research design was used to validate the hypotheses proposed in this research. A survey was deployed using the convenience method among 187 users of Elie Gesht's Instagram page to test the theoretical model. The structural relationships in the research were examined using the partial least squares structural equation modeling.

The findings of the present research indicated that the content cues of the quality of information provided by the firm have a positive effect on enhancing destination brand awareness and in turn improve affective image and cognitive image. Eventually, the content cues of the quality of information provided by the firm impact the formation of a conative image through the affective and cognitive image of the destination.

Pragmatically, the findings of this study urge policymakers of tourism companies, managers and destination marketers to take into account the special role of the firm's social media in enhancing destination brand awareness, which in turn promotes destination brand image. Therefore, providing empirical evidence on what leads to the promotion of destination brand awareness and different types of image formation of the destination due to information content quality provided by the firm on social media, provides managerial insights for corporate marketers and tourism destinations.

This study contributes to the body of knowledge on the role of quality of tourism information content presented in the firm's social media by providing empirical evidence on enhancing destination brand awareness and destination image formation. It also helps firm managers and planners build their marketing strategies to attract more customers through social media.

Knowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management.

The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined.

The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption.

This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.

The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.

Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.

The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.

Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.