Social media sites have become very popular within large enterprises. Still, employees are experiencing difficulties in engaging efficiently. In this paper, we present a study of a personalized action recommendation system in an enterprise social network. Following a previous study on how to raise one's social eminence in the enterprise and a set of interviews, we built an innovative recommendation system which provides employees with concrete personalized recommendations on how and where to engage. Differently from other systems, it presents recommendations in context of limiting social network behavioral patterns. The recommendations goal is to assist employees in growing out of these patterns. The paper presents the interview findings, the innovative recommendation system and results of a wide survey investigating the effectiveness of such a system.

Social media platforms such as blogs, wikis and file sharing have become very popular in enterprises. Despite their effectiveness in increasing collaboration in the organization, employees are overloaded with information originating from these many sources and find it hard to orient themselves in the stream of events occurring in their organizational news feed. In this paper we identify what makes an event in an organizational social media platform important to employees. Once important factors of an event to an employee are identified, the stream of events can be personalized and prioritized based on those and thus reduce the overload and assist in work efficiency. Through interviews and two extensive user surveys, the first hypothetical and the second empirical, we identified which factors of an event make it important and compare results from the hypothetical and empirical surveys.

In recent years, enterprise group chat collaboration tools, such as Slack, IBM»s Watson Workspace and Microsoft Teams, have presented unprecedented growth. With all the potential benefits of these tools - productivity increase and improved group communication - come significant challenges. Specifically, the 'always on' feature that makes it hard for users to cope with the load of conversational content and get up to speed after logging off for a while. In this demo, we present Collabot - a chat assistant service that implicitly learns users interests and social ties within a chat group and provides a personalized digest of missed content. Collabot assists users in coping with chat information overload by helping them understand the main topics discussed, collaborators, links and resources. This demo has two main contributions. First, we present a novel personalized group chat summarization algorithm; second the demonstration depicts a working implementation applied on different chat groups from different domains within IBM. A video, describing the demo can be found at https://www.youtube.com/watch?v=6cVsstiJ9vk.

Companies are motivating their employees to become socially engaged in enterprise social networks as a means to raise employee engagement. This is also beneficial for employees as it provides an opportunity for them to get a voice and raise their eminence. Unfortunately, not all employees are born "social butterflies" and many have difficulties in becoming more socially active. Failing to engage in an effective manner creates frustration which over time decreases their activity and lowers their chance to become socially eminent. This paper is a first of a kind study that reveals insights on social behavioral patterns of socially eminent employees. We extracted a comprehensive set of tips and recommendations to help employees become more socially eminent and investigate if and how eminent employees engage differently than others. We conducted interviews with top socially eminent employees and a quantitative inspection of bloggers behavioral patterns. Furthermore, we show that indeed best practices stated by socially eminent employees are fulfilled by eminent bloggers and less by others. We also found differences in how socially eminent employees engage compared to less eminent employees.

This work explores (semi-)automated EC on the WWW. The EContracts framework enables EC WWW sites and EC automated tools to present standardized information. This information (1) allows each party to decide whether it wishes to engage in an EC activity with the other party, (2) enables automated negotiation between the parties, and (3) enables the establishment of an electronic contract, i.e. a formal description of an agreed upon EC transaction. The EContracts framework defines the basic software components of an EC party and their interconnections. Based on the EContracts framework, various applications can be built. Examples are deal making applications, deal feasibility checkers, brokers etc. Furthermore, the definitions of the data structures and the algorithms enable a theoretical investigation of automated commerce.

This work explores (semi-) automated EC on the WWW. The EContracts framework enables EC WWW sites and EC automated tools to present standardized information. This information (1) allows each party to decide whether it wishes to engage in an EC activity with the other party, (2) enables automated negotiation between the parties, and (3) enables the establishment of an electronic contract, i.e., a formal description of an agreed upon EC transaction. The EContracts framework defines the basic software components of an EC party and their interconnections. Based on the EContracts framework, various applications can be built. Examples are deal making applications, deal feasibility checkers, brokers etc. Furthermore, the definitions of the data structures and the algorithms enable a theoretical investigation of automated commerce.