Networked governance and the regulation of expression on the Internet:the blurring of the role of public and private actors as content regulators

This editorial provides an overview of the themes of network governance and content regulation that are expanded upon in the subsequent articles, identifying key issues and concerns that are prevalent in the literature in this field. In particular, this text considers governance not as an Internet-specific phenomenon, but as a global phenomenon, identifying and discussing literature pertaining to governance both online and offline, and providing examples of theories that seek to explain these forms of governance. Focusing on the interaction between public and private actors in content regulation, this editorial highlights that content regulation is a complex and contested issue that cannot be separated from its social and cultural contexts, and provides an overview of the articles contained.

Better queue management in a busy public hospital of a developing country without appointment system::an application using data envelopment analysis

Queuing is a key efficiency criterion in any service industry, including Healthcare. Almost all queue management studies are dedicated to improving an existing Appointment System. In developing countries such as Pakistan, there are no Appointment Systems for outpatients, resulting in excessive wait times. Additionally, excessive overloading, limited resources and cumbersome procedures lead to over-whelming queues. Despite numerous Healthcare applications, Data Envelopment Analysis (DEA) has not been applied for queue assessment. The current study aims to extend DEA modelling and demonstrate its usefulness by evaluating the queue system of a busy public hospital in a developing country, Pakistan, where all outpatients are walk-in; along with construction of a dynamic framework dedicated towards the implementation of the model. The inadequate allocation of doctors/personnel was observed as the most critical issue for long queues. Hence, the Queuing-DEA model has been developed such that it determines the ‘required’ number of doctors/personnel. The results indicated that given extensive wait times or length of queue, or both, led to high target values for doctors/personnel. Hence, this crucial information allows the administrators to ensure optimal staff utilization and controlling the queue pre-emptively, minimizing wait times. The dynamic framework constructed, specifically targets practical implementation of the Queuing-DEA model in resource-poor public hospitals of developing countries such as Pakistan; to continuously monitor rapidly changing queue situation and display latest required personnel. Consequently, the wait times of subsequent patients can be minimized, along with dynamic staff scheduling in the absence of appointments. This dynamic framework has been designed in Excel, requiring minimal training and work for users and automatic update features, with complex technical aspects running in the background. The proposed model and the dynamic framework has the potential to be applied in similar public hospitals, even in other developing countries, where appointment systems for outpatients are non-existent.

Employee engagement in the public sector:a narrative evidence synthesis

It has been claimed that employee engagement can harness public service motivation in ways that lead to better improve functioning and positive organizational outcomes, and can help address the increasingly complex challenges associated with public service in an era of austerity. Despite this, there has not yet been a systematic review of the literature that would enable researchers to understand more about the antecedent factors and the outcomes of engagement in the public sector. To address this issue, we undertook a systematic narrative synthesis of the empirical research on engagement that yielded 5111 published studies, of which just 59 were conducted in public sector settings and met our inclusion criteria. Studies generally found that motivational features of jobs (such as autonomy), group (such as social support), management (such as leader consideration), and organizations (such as voice mechanisms) as well as psychological resources were key antecedents of engagement within the public sector; and that engagement was associated with positive employee health/morale and enhanced performance behaviors. The evidence was far from conclusive, suggesting a need for much more rigorous research focused on the specific challenges of public sector settings. We make recommendations for further research on this important topic, particularly with regards to understanding the connection between public service motivation and engagement and the need to examine engagement across different public sector/service contexts.