Incentive Policies for Facilitating Knowledge Sharing in an Enterprise Social Network

This paper examines knowledge sharing in enterprise social network (ESNs) through an analytical model. The structure of an ESN, its underlying technology, and incentives for knowledge workers affect knowledge sharing in organizations. We present a stylized model with two groups of knowledge workers with different knowledge levels. High-knowledge workers vary in their connectivity and sharing costs. We explore the design and efficacy of various incentive policies to facilitate knowledge sharing in ESNs. The different incentive schemes target either specific workers or groups based on connectivity, efficiency, or both. Our research provides valuable insights for practitioners to design incentive policies for promoting knowledge sharing in ESNs

Measuring the Collaborative Development between E-Commerce and Express Logistics in China

Based on the principle of order parameter in synergetics theory, this research applies the synergistic evaluation method to measure the collaborative development between two complex economic subsystems: E-Commerce transactions (ECT) system and express logistics service (ELS) system. We plan to build an evaluation model of coordination index and then conduct an empirical study based on the statistical data between 2005 and 2014. Our research is expected to provide valuable suggestions for promoting the coordinated development between ECT and ELS systems

Knowledge Creation with Parallel Teams: Design of Incentives and the Role of Collaboration

Parallel team strategy has been widely adopted by high-tech industries in knowledge creation. In this research, we study the design of organizational incentives, including a fixed wage payment and an additional reward structure, for the parallel team strategy. We consider two types of parallel teams—collaborative and non-collaborative parallel teams. Proposing and investigating two types of organizational reward policies (individual and aggregate) for both collaborative and noncollaborative parallel teams, we demonstrate the viability and characteristics of these policies and analyze the tradeoff between the number of parallel teams and their rewards. We show that collaboration in parallel teams is vital for obtaining maximal benefits. This research provides valuable insights for firms in employing parallel team strategy for knowledge creation

Role of Information Technology, Incentives, and Collaboration for Concurrent Teams

Concurrent team strategy is widely employed by firms in large projects. This research investigates the design of incentives and the role of collaboration for concurrent teams. Proposing and studying two types of reward policies: individual-based reward (IBR) and group-based reward (GBR), we characterize the structure of incentives, and demonstrate that firms can achieve maximal profits with collaborative concurrent teams under the IBR policy. We also study the role of IT in facilitating collaboration and discuss when IT investments are more valuable

A Unified Health Information System Framework for Connecting Data, People, Devices, and Systems

The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare

Privacy concerns in social commerce:The impact of gender

Today, social commerce is one of the most rapidly growing subsectors of e-commerce, creating new opportunities for brands of all types and sizes. However, despite its popularity and potential, social commerce faces significant challenges, including issues of privacy, trust and ethics. This paper sets out to identify key aspects of privacy which influence ongoing user engagement with social commerce, so that social media, and other social commerce, platforms can more effectively address the issue. In particular, the paper seeks to determine the extent to which these aspects of privacy are a function of gender and, therefore, to increase our understanding of the role of gender in determining a user’s likelihood of sustainable engagement with s-commerce. To explore these issues, the study deploys a mixed methodology (semi-structured interviews and questionnaires) to examine the views of a broad demographic of s-commerce users in Saudi Arabia. The results allowed us to identify three distinct aspects of online privacy that significantly influence the likelihood of engaging in s-commerce and also demonstrated that the relative importance of these aspects is a function of gender. The study enhances current understanding of the role of gender in intention to use s-commerce and provides a framework for further research. The findings of the study will be of interest to all parties involved in the design and provision of s-commerce services, including social media platforms.</p

Usability of the G7 open government data portals and lessons learned

Recent advances in technology have made truly open and accessible government significantly more realisable. One of the ways in which governments are using this technology is in the implementation of online portals that allow open (i.e., public and unrestricted) access to data and use of data. Such portals can be used by citizens and professionals to facilitate improved decision-making across a wide range of areas, from car-parking to promoting entrepreneurialism. However, the existence of portals per se is not enough. To maximise their potential, users must also feel that they are both accessible and usable. To gain insights into the current state of usability of OGD portals for professionals working in data-related areas, a comparative study of the portals of the G7 group was carried out, using a mixed methodology. This is the first specific comparison of these portals for such users, as well as the first study to add a user-centred qualitative dimension to the research. The study’s findings showed that the G7 countries are not maximising the potential of their portals or collaborating effectively. Addressing these issues, and building better cross-national consistency, would help to improve the value delivered by investment in OGD portals. The study also further supported an existing user-centred, heuristic evaluation framework for application to a more specific user group, as well as more generally