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Social media data from financial websites contain information related to enterprise credit risk. Mining valuable new features in social media data helps to improve prediction performance. This paper proposes a credit risk prediction framework that integrates social media information to improve listed enterprise credit risk prediction in the supply chain.

The prediction framework includes four stages. First, social media information is obtained through web crawler technology. Second, text sentiment in social media information is mined through natural language processing. Third, text sentiment features are constructed. Finally, the new features are integrated with traditional features as input for models for credit risk prediction. This paper takes Chinese pharmaceutical enterprises as an example to test the prediction framework and obtain relevant management enlightenment.

The prediction framework can improve enterprise credit risk prediction performance. The prediction performance of text sentiment features in social media data is better than that of most traditional features. The time-weighted text sentiment feature has the best prediction performance in mining social media information.

The prediction framework is helpful for the credit decision-making of credit departments and the policy regulation of regulatory departments and is conducive to the sustainable development of enterprises.

The prediction framework can effectively mine social media information and obtain an excellent prediction effect of listed enterprise credit risk in the supply chain.

While prior research provides interesting insights into the effect of social media use in enterprises, there is limited research on how use of different social media platforms affects employee job satisfaction and work efficiency. This study developed a research model to investigate how public and private social media platforms used for different motivations affect employee job satisfaction and work efficiency.

Online surveys were conducted in China, generating 453 valid responses for analysis. Structural equation modeling is performed to test the research model and hypotheses.

The results suggest that (1) public social media used for both work- and social-related motivations positively affects employee job satisfaction, while private social media only used for social-related motivations can contribute to employee job satisfaction. (2) Public and private social media used for work-related motivations can contribute to employee work efficiency, while social-related motivations for use of public and private social media and employee work efficiency are not significant. (3) In the process of social media usage influencing employee job satisfaction and work efficiency, employees of different genders show significant differences.

First, this paper contributes to information systems social media research by examining the joint effects of different motivations for public and private social media usage on employee job satisfaction and work efficiency in organizations. Second, it contributes to uses and gratification theory by clarifying the relationship between different motivations for enterprise social media use and its needs.

The purpose of this paper is to investigate how to support small organizations to navigate the context of an accelerated Digital Transformation using Enterprise Social Media platforms, in response to external contingencies, such as the COVID-19 pandemic.

A longitudinal action research study, supported by an exploratory analysis that follows a hybrid approach of deductive and inductive reasoning, has been conducted in the context of a small organization. Several data collection techniques were used for context understanding and problem-solving.

Findings suggest that value creation related to the use of Enterprise Social Media platforms supports small organizations in this accelerated context of Digital Transformation. Value perception is central in overcoming adoption barriers and achieving sustainable use of these platforms in daily basis activities, especially in remote working. External pressures, like those imposed by the COVID-19 pandemic, play an important role in catalyzing digital initiatives.

As the main limitations to this paper, we highlight the study of a single organization in a specific context and the number of actors involved; hence, there is room to extend the study to other industries, organization sizes and contexts.

This paper provides managers with insights into how to conduct their Enterprise Social Media initiatives in a turbulent environment, highlighting their key success elements, and their potential to create value for their organizations and stakeholders. Furthermore, managers could explore the potential of Enterprise Social Media platforms to support organizations in the Digital Transformation journey.

Small organizations play an important role in generating wealth for nations around the world. However, governments encounter difficulties in supporting the Digital Transformation of this type of organization. This paper provides insights into how to use an affordable and intuitive technology to include this type of organization in the Digital Transformation journey.

A long-term study of Enterprise Social Media is recommended, but quite rare in the Information Systems literature. This study adopts a longitudinal investigation to analyze the use of Enterprise Social Media to support a small organization to adapt, in balance with their internal and external contingencies, providing a further contribution to the contingency theory. This research also adds contributions to the sociotechnical system perspective, analyzing the deep imbrication between social and technical subsystems in the required organizational change, supporting a small organization for coping with the effects of the COVID-19 pandemic.

In his 2006 State of the Nation Address, President Thabo Mbeki indicated that the regulatory environment for small businesses would be improved, as this sector plays an important role in the national strategy for accelerated and shared growth. The aim of this study is to determine whether the size of an enterprise and the sector in which the enterprise operates has an impact on how the enterprise’s tax responsibilities are administered and managed. A survey was conducted amongst small and medium enterprises in the manufacturing, retail and business services sectors in Gauteng. The study focused on Gauteng because the majority of small, medium and microenterprises (SMMEs) are located in this province. The study found that most small and medium enterprises (SMEs) in the business services sector outsource their tax responsibilities because they lack the time needed to manage these functions. It was also found that the size and type of organisation affects the role taxation inputs play in business decisions. The SMEs included in the survey preferred a reduction in interest and penalties charged as a taxation relief measure.

In his 2006 State of the Nation Address, President Thabo Mbeki indicated that the regulatory environment for small businesses would be improved, as this sector plays an important role in the national strategy for accelerated and shared growth. The aim of this study is to determine whether the size of an enterprise and the sector in which the enterprise operates has an impact on how the enterprise’s tax responsibilities are administered and managed. A survey was conducted amongst small and medium enterprises in the manufacturing, retail and business services sectors in Gauteng. The study focused on Gauteng because the majority of small, medium and microenterprises (SMMEs) are located in this province. The study found that most small and medium enterprises (SMEs) in the business services sector outsource their tax responsibilities because they lack the time needed to manage these functions. It was also found that the size and type of organisation affects the role taxation inputs play in business decisions. The SMEs included in the survey preferred a reduction in interest and penalties charged as a taxation relief measure.

This study aims to develop a process model to facilitate enterprises’ co-creating value with consumers through social media.

Drawing on the concepts of internet-based co-creation and collective action theory, this study outlines a five-stage model (Interact-Engage-Propose-Act-Realize, IEPAR) of utilizing social media to co-create with consumers, enriches the model through in-depth interviews with industry experts and briefly illustrates how it can be applied in practice using a service firm case.

This study clarifies the co-creation process in the social media environment. For each of the process’s five stages, the objectives to be accomplished by the social media operator and the means to complete the objectives are illustrated.

This study illustrated the proposed model with a representative service firm. Future study may refine the model by gathering additional data from real implementations to improve its effectiveness in practice.

This study suggests how an enterprise can construct a consumer co-creation platform from a managerial perspective. The proposed model can serve as a reference that enterprises can implement to increase customer value through co-creation using social media.

Enterprises have begun to notice the power of serving as a platform for co-creating value with consumers. However, it is seldom related to literature. The proposed model of the co-creation process in the social media environment can supplement past research.

This study aims to investigate the moderating effects of innovation capabilities and social media capabilities on the relationship between brand orientation and brand performance among small- and medium-sized enterprises (SMEs). Drawing on the size differential feature from the organizational ecology theory, the paper further tests variations in these conditions across disaggregated SME levels.

The empirical part of the study was carried out with a sample of 484 enterprises in an emerging market context via exploratory and confirmatory factor analyses, along with a moderated hierarchical regression.

Results from the moderated hierarchical regression analysis indicate that although the two capabilities generally offered positive moderating effects across all enterprises, these are conditional and not invariant when disaggregated based on enterprise sizes (small vs medium).

The study suggests the need for enterprise owners/managers to identify optimal combinations of enterprise capabilities, based on their sizes, for which their complementarities with brand orientation efforts are more potent.

The study aims to understand enterprise social media usage at work and explore its impact on employee outcomes, particularly learning behaviors. The scope of the paper is limited to organizationally facilitated enterprise social media (ESM) used internally for workplace communication and draws upon ESM affordances highlighted by the theory of communication visibility.

The study used a qualitative research design based on Miles and Huberman framework (1994) as the research question was exploratory in nature. Thematic analysis was conducted using QSR-NVivo to arrive at the dominant themes and to understand their relationship between enterprise social media use at work. Each emergent theme was generated from the behavioral indicators labelled as nodes. Drawing on qualitative data, the study explored the lived-in experiences of employees using enterprise social media for workplace interactions.

The thematic analysis using QSR-NVivo provided qualitative evidence for the phenomenon of enterprise social media use in the form of four emergent themes: patterns of enterprise social media usage by employees, employees' informal learning behaviors, employee social capital and organizational learning capability.

The study provides theoretical insights into the lived-in experiences of employees using ESM at work and unravel thematic behavioral impact on their learning, social capital and organizational learning capability. The findings of this study support recent research work on impact of ESM on knowledge sharing behaviors (see Sun et al., 2019) and other significant work on co-creation of knowledge (see Wagner et al., 2014). Thus, adding to the body of knowledge management literature.

This study provides evidence for the role of enterprise social media in developing organizational learning capability by offering support and platform for employees' informal learning and building their social capital. Thus, organizations should leverage enterprise social media not only a social networking tool but more as a strategic learning resource. Hence, organizational leaders must encourage employees to be involved on such platforms in order to promote their informal learning. Also, this study captures the role of employee social capital in explaining the enterprise social media, informal learning and organizational learning capability relationship. This shows that enterprise social media can help employees to learn informally when they have good relationships. Hence, this study provides implications for both HR and IT managers and consultants who plan to implement technology for collaborative purposes, should not undermine the importance of building employee social capital. Only then can they utilize the potential of ESM as a learning tool. Last, this research may also influence the general attitude towards social media use at work and further impact the design and implementation of organizational social media policies.

The paper is novel as the qualitative investigation offers deeper insights into the impact of ESM usage on employee and organizational learning behaviors. The paper draws on theoretical underpinnings to present useful linkages between emergent concepts and makes valuable contribution to the literature on enterprise social media use and learning at work.

The purpose of the present study is to build a research model to study how the use of different enterprise social media platforms affects employees' relationship capital, and the moderating role of innovation culture is also examined.

Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an electronic commerce company in China that uses different social media platforms, generating 301 valid responses for analysis.

First, private social media used for work-related purposes can contribute to employees' relationship capital, and public social media QQ used for work-related purposes can contribute to employees' communication quality. WeChat used for social-related purposes has a positive effect on employees' information exchange. Second, innovation culture acts as a positive moderator between work-related media use and employees' information exchange, while innovation culture acts as a negative moderator between social-related WeChat use and employees' information exchange. Third, innovation culture acts as a positive moderator between work-related QQ use and employees' trust, while innovation culture acts as a negative moderator between social-related QQ use and employees' trust.

First, this paper contributes to the information system (IS) social media literature by studying the effect of the use of different enterprise social media platforms used for different purposes on employees' relationship capital. Second, the authors contribute to relationship capital theory by clarifying that use of public and private social media platforms for social- and work-related purposes is an important driver of the formation of employees' relational capital. Third, the present study also contributes to enterprise social media literature by confirming that innovation culture acts as a different moderator between use of different enterprise social media platforms and employees' relationship capital.

An increasing number of users are inspired by enterprises to repost social media messages, which greatly contributes to the dissemination of such messages in an online social network. The purpose of this paper is to discover the repost patterns of users regarding enterprise social media messages to help enterprises improve information management abilities for social media.

This paper proposes a novel method to discover the repost patterns of users in enterprise social networking (ESN) at the macro-level through topic analysis. Specifically, it proposes the message-diversity metric to measure the latent topic diversity degree of the social media messages. Through this technique, the paper analyzes the message-diversity characteristics of the enterprise social media messages and then explores the repost patterns of users.

The experimental results show that a high repost rate is more prominent for the messages with diverse latent topics, where message-diversity is as high as 0.5.

The findings have great potential in several management areas, such as employing social media marketing, predicting popular messages, helping enterprises strengthen their online presence, and gathering more potential customers.

This study explores how the repost patterns of users in ESN can be determined through general macro-level behavior of users instead of their micro-level processes. The patterns can also lead to a deeper understanding of which contents can drive people to diffuse information. This study gives an important insight into the information behavior of social media users for enterprise management researchers.