Attempts to share information between public sector organisations over time: A case-based exploration of value conflicts

Despite the importance of inter-organisational information sharing (IOIS) in the public sector, such endeavours often fail. Existing research has shown that the values held by collaborating organisations are one important factor affecting these kinds of initiatives. However, research has sought only to a limited extent to address how value conflicts come into play over time. Therefore, this paper aims to explore how conflicting values shape an inter-organisational information-sharing practice in the public sector over time. Using the local/global network framework, we analyse four years’ worth of information sharing in an inter-organisational advisory group in the context of Swedish nuclear waste management. We conclude that different value conflicts are emphasised to different extents at different points in time. That is, values do not uniformly affect IOIS activities, and such conflicts over time reduce the set of potential IOIS activities. We also conclude that when IOIS activities are driven by an individual organisation’s values, individual value rational activities may co-exist with a dysfunctional long-term IOIS practice.publishedVersio

Driving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modelling

YesInnovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions

Strategies and Approaches for Exploiting the Value of Open Data

Data is increasingly permeating into all dimensions of our society and has become an indispensable commodity that serves as a basis for many products and services. Traditional sectors, such as health, transport, retail, are all benefiting from digital developments. In recent years, governments have also started to participate in the open data venture, usually with the motivation of increasing transparency. In fact, governments are one of the largest producers and collectors of data in many different domains. As the increasing amount of open data and open government data initiatives show, it is becoming more and more vital to identify the means and methods how to exploit the value of this data that ultimately affects various dimensions. In this thesis we therefore focus on researching how open data can be exploited to its highest value potential, and how we can enable stakeholders to create value upon data accordingly. Albeit the radical advances in technology enabling data and knowledge sharing, and the lowering of barriers to information access, raw data was given only recently the attention and relevance it merits. Moreover, even though the publishing of data is increasing at an enormously fast rate, there are many challenges that hinder its exploitation and consumption. Technical issues hinder the re-use of data, whilst policy, economic, organisational and cultural issues hinder entities from participating or collaborating in open data initiatives. Our focus is thus to contribute to the topic by researching current approaches towards the use of open data. We explore methods for creating value upon open (government) data, and identify the strengths and weaknesses that subsequently influence the success of an open data initiative. This research then acts as a baseline for the value creation guidelines, methodologies, and approaches that we propose. Our contribution is based on the premise that if stakeholders are provided with adequate means and models to follow, then they will be encouraged to create value and exploit data products. Our subsequent contribution in this thesis therefore enables stakeholders to easily access and consume open data, as the first step towards creating value. Thereafter we proceed to identify and model the various value creation processes through the definition of a Data Value Network, and also provide a concrete implementation that allows stakeholders to create value. Ultimately, by creating value on data products, stakeholders participate in the global data economy and impact not only the economic dimension, but also other dimensions including technical, societal and political

Who is empathetic to the disaster you are going through? Mining Emotions (Empathy) in government and nonprofit responders’ tweets.

This project establishes and tests a measure of empathy in Twitter posts. The project intends to find evidence on whether community leaders and decision makers are showing compassion for the vulnerable communities undergoing natural disasters like Hurricane Florence through the online media like Twitter. The measure examines accounts from government agencies, nonprofit organizations and elected officials. First, I investigated how government agencies, nonprofit organizations, and elected officials adopted social media as their communication channel with the public. Second, I studied scholarly work on how social media platforms were used during crises, such as natural disasters. Then, I reviewed literature regarding compassion and empathy, and developed the instrument for properly measuring empathy. Finally, I chose Hurricane Florence as my target and content analyzed tweets from selected government agencies, nonprofit organizations, and elected officials. It turned out many contemporary practitioners used Twitter to keep citizens informed under a natural disaster. However, there is limited evidence showing empathy being part of the public-service package regarding Hurricane Florence. The study concludes with future research possibilities on empathy, as part of compassion, and community resilience building for climate and other disasters

Uncovering the Generative Mechanisms of Open Data through a Mixed Methods Approach

The impact of the digital revolution on our societies can be compared to the ripples caused by a stone thrown in water: spreading outwards and affecting a larger and larger part of our lives with every year that passes. One of the many effects of this revolution is the emergence of an already unprecedented amount of digital data that is accumulating exponentially. Moreover, a central affordance of digitization is the ability to distribute, share and collaborate, and we have thus seen an “open theme” gaining currency in recent years. These trends are reflected in the explosion of Open Data Initiatives (ODIs) around the world. However, while hundreds of national and local governments have established open data portals, there is a general feeling that these ODIs have not yet lived up to their true potential. This feeling is not without good reason; the recent Open Data Barometer report highlights that strong evidence on the impacts of open government data is almost universally lacking (Davies, 2013). This lack of evidence is disconcerting for government organizations that have already expended money on opening data, and might even result in the termination of some ODIs. This lack of evidence also raises some relevant questions regarding the nature of value generation in the context of free data and sharing of information over networks. Do we have the right methods, the right intellectual tools, to understand and reflect the value that is generated in such ecosystems