Identifying target audience on enterprise social network

2019 ◽  
Vol 119 (1) ◽  
pp. 111-128 ◽  
Author(s):  
Jianhong Luo ◽  
Xuwei Pan ◽  
Shixiong Wang ◽  
Yujing Huang
Keyword(s):  
Social Media ◽  
Social Network ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Information Service ◽  
Target Audience ◽  
Business Practices ◽  
Content Type ◽  
Enterprise Social Media ◽  
Enterprise Social Network

Purpose Delivering messages and information to potentially interested users is one of the distinguishing applications of online enterprise social network (ESN). The purpose of this paper is to provide insights to better understand the repost preferences of users and provide personalized information service in enterprise social media marketing. Design/methodology/approach It is accomplished by constructing a target audience identification framework. Repost preference latent Dirichlet allocation (RPLDA) topic model topic model is proposed to understand the mass user online repost preferences toward different contents. A topic-oriented preference metric is proposed to measure the preference degree of individual users. And the function of reposting forecasting is formulated to identify target audience. Findings The empirical research shows the following: a total of 20 percent of the repost users in ESN represent the key active users who are particularly interested in the latent topic of messages in ESN and fits Pareto distribution; and the target audience identification framework can successfully identify different target key users for messages with different latent topics. Practical implications The findings should motivate marketing managers to improve enterprise brand by identifying key target audience in ESN and marketing in a way that truthfully reflects personalized preferences. Originality/value This study runs counter to most current business practices, which tend to use simple popularity to seek important users. Adaptively and dynamically identifying target audience appears to have considerable potential, especially in the rapidly growing area of enterprise social media information service.

Impact of task characteristics on employee agility: the moderating effect of enterprise social media visibility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mengyi Zhu ◽  
Yuan Sun ◽  
Anand Jeyaraj ◽  
Jie Hao
Keyword(s):  
Social Media ◽  
Social Network ◽  
Task Complexity ◽  
Task Interdependence ◽  
Task Characteristics ◽  
Network Ties ◽  
Content Type ◽  
Enterprise Social Media ◽  
Social Network Ties ◽  
And Task

PurposeThis study aims to explore whether and how task characteristics affect employee agility in the context of enterprise social media (ESM).Design/methodology/approachAdopting the social network ties perspective, this study examines how task characteristics (i.e. task complexity, task interdependence and task non-routineness) affect employee agility by promoting their social network ties (i.e. instrumental ties and expressive ties) and how ESM visibility moderates their relationships. Data gathered from 341 ESM users in workplaces were analyzed using Smart-PLS 3.2.FindingsFirst, task complexity, task interdependence and task non-routineness have positive effects on instrumental and expressive ties, which in turn influences agility; Second, instrumental ties have a stronger effect on employee agility relative to expressive ties; Finally, ESM visibility positively moderates the effects of task complexity and task non-routineness on social network ties.Practical implicationsThe findings provide guidance for organizational managers on how to use task characteristics and ESM to improve employee agility, as well as insights for social media designers to optimize ESM functions to improve agility.Originality/valueThis study provides empirical evidence to explain the roles of task characteristics and social network ties in influencing employee agility, thus clarifying the inconsistent findings in extant research. The moderating effects of ESM visibility on the relationships between task characteristics and social network ties are also examined, thus providing further insights on the positive role of ESM in organizations.

scholarly journals How do enterprise social media affordances affect social network ties and job performance?

2019 ◽  
Vol 33 (1) ◽  
pp. 361-388 ◽  
Author(s):  
Xiayu Chen ◽  
Shaobo Wei ◽  
Robert M. Davison ◽  
Ronald E. Rice
Keyword(s):  
Social Media ◽  
Social Network ◽  
Job Performance ◽  
Organizational Performance ◽  
Network Ties ◽  
Theoretical Understanding ◽  
Content Type ◽  
Enterprise Social Media ◽  
Social Network Ties ◽  
The Impact

Purpose The purpose of this paper is to investigate how four enterprise social media (ESM) affordances (visibility, association, editability and persistence) affect social network ties (instrumental and expressive), which, in turn, influence the in-role and innovative job performance of employees. Design/methodology/approach A survey of 251 ESM users in the workplace in China was conducted. Findings All four affordances are positively associated with instrumental ties, yet only the association and editability affordances are positively related to expressive ties. Although instrumental and expressive ties are positively related to in-role and innovative job performance, instrumental ties exert stronger effects on in-role job performance, whereas expressive ties show stronger effects on innovative job performance. Research limitations/implications First, additional relevant affordances should be included in an expanded model. Second, future research could examine how patterns of affordances use (unrelated, or hierarchically or sequentially related) affect organizational network ties. Third, there are likely (many) other exogenous factors affecting the model’s relationships. Fourth, the data collected are self-reported. Practical implications This study advances the theoretical understanding of the role of ESM affordances in the workplace, especially through their influences on network ties. The findings can guide organizations on how to emphasize ESM affordances to foster instrumental and expressive ties to improve the job performance of employees. Originality/value First, it provides novel views on affordance theory in ESM contexts by empirically testing four central affordances, thereby further providing preliminary evidence for prior theoretical propositions by confirming that social media affordances might be associated with or influence relational ties. Second, the study integrates an affordance lens and a social network perspective to investigate employees’ perceived performance behavior. Including social network ties can offer a more detailed understanding of the underlying processes of how ESM affordances can and do affect job performance. Third, it supports the validity of distinguishing instrumental and expressive ties in ESM contexts, thus offering a possible explanation for the inconsistencies in prior research on the impact of social networks on employee outcomes. Finally, it also shows how two kinds of organizational performance (in-role and innovative) are somewhat differentially influenced by affordances and network ties.

How to build employees' relationship capital through different enterprise social media platform use: the moderating role of innovation culture

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liang Ma ◽  
Xin Zhang ◽  
Gaoshan Wang ◽  
Ge Zhang
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Content Type ◽  
Enterprise Social Media ◽  
Work Related ◽  
Innovation Culture ◽  
Social Media Platforms ◽  
Relationship Capital ◽  
Moderating Role

PurposeThe 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.Design/methodology/approachStructural 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.FindingsFirst, 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.Originality/valueFirst, 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.

Instrumental ties or expressive ties? Impact mechanism of supervisor–subordinate ties based on enterprise social media on employee performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Changyu Wang ◽  
Tianyu Yuan ◽  
Jiaojiao Feng
Keyword(s):  
Social Media ◽  
Job Performance ◽  
Social Exchange ◽  
Social Exchange Theory ◽  
Employee Performance ◽  
Organizational Trust ◽  
Mediating Effect ◽  
Positive Role ◽  
Content Type ◽  
Enterprise Social Media

PurposeThe purpose of this study is to answer whether and how supervisor–subordinate instrumental or expressive ties based on enterprise social media (ESM) might enhance employee performance.Design/methodology/approachDrawing on social exchange theory, this study developed a theoretical model to explore the influencing mechanism of different supervisor–subordinate ties based on ESM on employee job performance. The model was empirically tested through 219 ESM users.FindingsThe results revealed that supervisor–subordinate instrumental ties based on ESM play a positive role in employee job performance, while supervisor–subordinate expressive ties based on ESM are not significantly related to employee job performance. Supervisor–subordinate instrumental ties and expressive ties based on ESM can positively influence employee job performance through the mediating effect of organizational trust. Besides, perceived performance climate can weaken the relation of organizational trust to job performance, and then weaken the indirect relations via the mediating of organizational trust.Originality/valueOur findings advance the understanding of ESM use through various underlying mechanisms and have the potential of guiding organizations to fine-tune their social media usage strategies.

Enterprise social network (ESN) systems and knowledge sharing: what makes it work for users?

2019 ◽  
Vol 50 (2) ◽  
pp. 305-327
Author(s):  
Abhishek Kalra ◽  
Rupashree Baral
Keyword(s):  
Social Network ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Least Squares Method ◽  
Equation Modeling ◽  
Top Management ◽  
Management Support ◽  
Cross Sectional ◽  
Content Type ◽  
Enterprise Social Network

Purpose Enterprise Social Network (ESN) systems have emerged as the technology of choice to bolster and support organizational efforts for harnessing embedded knowledge. However, a lack of understanding about it limits the optimization of its potential. Hence, this paper aims to assess the role of hedonic motivation, network externalities (NE) and top management support in conjugation with the unified theory of acceptance and use of technology theory to understand ESN’s usage for knowledge sharing. Design/methodology/approach Data were collected from 187 ESN users through a survey questionnaire and subsequently analyzed using variance-based structural equation modeling using the partial least squares method. Findings ESNs are used both for utilitarian and hedonic purposes. Furthermore, the results also bring out the importance of externalities arising from an extensive network of users and complimentary services, as well as support regarding resources and recognition from the top management toward reinforcing the benefits of using ESNs. Research limitations/implications This study advances earlier knowledge by assessing the actual usage of ESNs for knowledge sharing. It takes into consideration multiple input variables, namely, performance expectancy, effort expectancy, NE amongst others to best resonate with the key factors driving its adoption and usage by an individual. However, because of the cross-sectional research design, causality can only be inferred. Practical implications The organizations are recommended to have in place the measures for attaining optimal usage of ESNs, and in turn, witness knowledge moves around in ways unfathomable. Steps should be taken to develop tools and ecosystems to provide users affordances for both increasing productivity, as well as opportunities for gaining pleasure. Originality/value This study is one of its kind effort to synthesize the knowledge about the ESNs in an Indian context. It provides fascinating insights into the determinants of intention and usage of ESNs for knowledge sharing.

Does usage of enterprise social media affect employee turnover? Empirical evidence from Chinese companies

2019 ◽  
Vol 29 (4) ◽  
pp. 970-992 ◽  
Author(s):  
Lu Yingjie ◽  
Shasha Deng ◽  
Taotao Pan
Keyword(s):  
Social Media ◽  
Theoretical Model ◽  
Empirical Evidence ◽  
Employee Turnover ◽  
Theoretical Research ◽  
High Tech ◽  
Content Type ◽  
Enterprise Social Media ◽  
Job Levels ◽  
Social Use

Purpose The purpose of this paper is to examine how the usage of enterprise social media (ESM) affects eventual employee turnover. Design/methodology/approach This study developed a theoretical model based on the proposition that different ESM usage behaviors (utilitarian use, hedonic use and social use) have different effects on employee turnover, and job type and job level can moderate the effect of ESM usage on turnover. The model was examined empirically using 1,791 employee samples from a large high-tech manufacturing enterprise deploying ESM. Findings The results indicate that the utilitarian and social use of ESM has negative effects on turnover, but the hedonic use of ESM has positive effects on turnover. Furthermore, for employees working in different job types and job levels, there are significant differences concerning the effect of ESM usage on their turnover. Practical implications ESM managers should encourage employees to use ESM for utilitarian needs and social support but restrict excessive use of ESM for leisure. In addition, different ESM use policies depending upon job types and job levels could be adopted to retain valuable employees. Originality/value Few studies have focused on how usage of ESM affects eventual employee turnover. Given the lack of theoretical research and empirical evidence, the authors developed a theoretical model and conducted an empirical study to fill the research gap.

Enterprise social media: combating turnover in businesses

2020 ◽  
Vol 30 (2) ◽  
pp. 591-610 ◽  
Author(s):  
Murad Moqbel ◽  
Valerie L. Bartelt ◽  
Kazim Topuz ◽  
Kitty L. Gehrt
Keyword(s):  
Job Satisfaction ◽  
Social Media ◽  
Response Bias ◽  
Work Stress ◽  
Turnover Intention ◽  
Equation Modeling ◽  
Content Type ◽  
Enterprise Social Media ◽  
The Impact ◽  
Work Perceptions

PurposeThe purpose of this study is to investigate how enterprise social media (ESM) use combats turnover by impacting work perceptions, and ultimately turnover intention.Design/methodology/approachThis study undertook a survey at a major information technology (IT) corporation. Data from a total of 276 working professionals were collected to test the proposed research model.FindingsThe structural equation modeling results show that ESM increase workplace integration; workplace integration decreased turnover intention, augmented job satisfaction and also reduced job tensions (perceived work stress) – job satisfaction and work stress perceptions influenced turnover intention.Research limitations/implicationsLow response bias is one of the limitations in this study, although this study used a priori and post hoc measures to mitigate non-response bias. This study contributed to the theory by improving our understanding of the role of ESM in combating turnover by impacting work perceptions through the lens of social capital and emotional dissonance theories. This study also has practical implications for managers. The results suggest that incorporating ESM within organizations improves employees' perceptions and behaviors – providing an option for managers to consider it as a way to save costs associated with employee turnover.Originality/valueAlthough several studies have been conducted on ESM, our understanding of the impact of ESM on work perceptions and turnover is still far from complete. This paper helps to close the gap in literature by improving our understanding of how ESM combats turnover by influencing work perceptions in an organization, which provides an essential contribution to research and practice in the field.

Technological affordance discovery in enterprise social media success

2020 ◽  
Vol 120 (10) ◽  
pp. 1797-1812
Author(s):  
Keng Hong Ng ◽  
Rachel W.Y. Yee
Keyword(s):  
Social Media ◽  
Performance Outcomes ◽  
Internal Communication ◽  
Affordance Theory ◽  
Content Type ◽  
Enterprise Social Media ◽  
Study Approach ◽  
External Vendors ◽  
Technological Affordances

PurposeThis paper aims to build on affordance theory from a discovery perspective, to illustrate how motivations and goals behind enterprise social media adoption by companies in the fashion and apparel industries are discovered and realized in performance. Enterprise social media and its exogenous technological affordances are introduced as action opportunities in an organization during implementation, to be discovered and acted upon by users to effect various performance outcomes.Design/methodology/approachA case study approach was adopted. Data was collected on five fashion companies that have implemented enterprise social media for their internal communication.FindingsThe findings show that fashion companies adopt enterprise social media offered by external vendors to actively seek more effective internal communication and collaboration among their employees. However, fashion companies embark on different pathways of discovering and actualizing the affordances from the newly implemented enterprise social media. As a result, these firms achieved various kinds of performance benefits, which range from improved customer loyalty to enhanced innovation performance.Originality/valueThis study is the first to introduce a discovery perspective to affordance theory and systematically document the success of enterprise social media appropriation by companies in the fashion and apparel industries.

Enterprise social media at work: web-based solutions for employee engagement

2016 ◽  
Vol 24 (7) ◽  
pp. 16-19 ◽  
Author(s):  
Anshu Sharma ◽  
Jyotsna Bhatnagar
Keyword(s):  
Social Media ◽  
Employee Engagement ◽  
Internal Communication ◽  
Communication Tool ◽  
Web Based ◽  
Content Type ◽  
Enterprise Social Media ◽  
Respective Field ◽  
Social Media Tools ◽  
Social Networking Tools

Purpose The paper aims to highlight the role of enterprise social media as an internal workplace tool for employee engagement purposes. Design/methodology/approach The paper provides a viewpoint on how social media can be used internally by organizations after considering both academic and practitioner literature in the respective field. Findings The paper posits that organizations should move beyond using social networking tools for recruitment and branding purposes and take a step further to use social media tools internally for employee engagement initiatives. It provides practical implications for managers to embrace social media as an engagement tool and to increase employees’ participation on such media. Research limitations/implications The paper provides implications for both researchers and practitioners for using social media as a strategic employee engagement initiative and devising appropriate social media and human resource strategies to do so. Originality/value The paper offers insights into how enterprise social media can be used as an internal communication tool for engaging employees in this technologically connected era.

scholarly journals A word embedding topic model for topic detection and summary in social networks

2019 ◽  
Vol 52 (9-10) ◽  
pp. 1289-1298 ◽  
Author(s):  
Lei Shi ◽  
Gang Cheng ◽  
Shang-ru Xie ◽  
Gang Xie
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Topic Model ◽  
Word Embedding ◽  
Probabilistic Latent Semantic Analysis ◽  
Topic Detection ◽  
Short Text ◽  
Internal Relationship

The aim of topic detection is to automatically identify the events and hot topics in social networks and continuously track known topics. Applying the traditional methods such as Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis is difficult given the high dimensionality of massive event texts and the short-text sparsity problems of social networks. The problem also exists of unclear topics caused by the sparse distribution of topics. To solve the above challenge, we propose a novel word embedding topic model by combining the topic model and the continuous bag-of-words mode (Cbow) method in word embedding method, named Cbow Topic Model (CTM), for topic detection and summary in social networks. We conduct similar word clustering of the target social network text dataset by introducing the classic Cbow word vectorization method, which can effectively learn the internal relationship between words and reduce the dimensionality of the input texts. We employ the topic model-to-model short text for effectively weakening the sparsity problem of social network texts. To detect and summarize the topic, we propose a topic detection method by leveraging similarity computing for social networks. We collected a Sina microblog dataset to conduct various experiments. The experimental results demonstrate that the CTM method is superior to the existing topic model method.

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