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- All Subjects: technical communication
- Creators: Maynard, Andrew
Description
ABSTRACT
Despite a recognized need for corporations to take greater social responsibility, such responsibility is often lacking in the decisions of corporate America. This lack of attention to social responsibility has numerous implications, not least for the US workforce. Additionally, the workforce itself has a potential role to play in implementing social responsibility. Workers are partly responsible for actions causing negative effects; however, organizations tend to avoid addressing the negative effects as a form of organized irresponsibility. This dissertation examines decisions and actions related to the worker, their work roles, and within their organization. It aims to understand to what extent workers can function as change agents in aligning their organizations with social responsibility as it relates to organizational missions. The methodological approach used to gather data for this dissertation is Socio-Technical Integration Research (STIR), and the framework used to analyze the data is Midstream Modulation. The dissertation advances the STIR methodology in several respects as a result of studying technology startups with a focus towards organizational effects. These advances include measuring how modulations within individual workers’ decisions have outcomes at the organizational level or across multiple departments. Examples of such “organizational modulations” can be seen in two of the three studies at the core of this dissertation. Additionally, I demonstrate that multiple reflexive modulations can be involved in modulation sequences and that modulation sequences can be nested in relation to one another.
Furthermore, I present the Collaborative Change Agent Model, which may possibly be utilized to further discuss decisions and embed concepts such as social responsibility and Responsible Innovation in an individual worker’s decision-making process.
ContributorsZaveri, Shivam Rajeshbhai (Author) / Fisher, Erik (Thesis advisor) / Nadesan, Majia (Committee member) / Maynard, Andrew (Committee member) / Arizona State University (Publisher)
Created2023
Description
Regional governments provide access to safety, health, and welfare through consistently good services. This analysis examines the underlying motives and mechanisms for achieving these goals. A current trend in governance is to outsource technology software and development to private sector efficiency. To achieve this claim and in attempt to save money the physical employee workforce is being replaced by technology. The government interaction in this philosophy is not being met with the same diversity and flexibility of the private-sector. This missed opportunity is the result of not accompanying software or governance practices with the principles of entrepreneurship including performance measures, marketing, and collaborative process design. The linkage of these three key principles provides the potential to reinvent government communication and interaction leading to successful endeavors for the public it serves and employees it aims to recruit and retain. This is an applied research thesis with foundation in a working body of regional government. The Maricopa County Planning and Development Department (MCPPD) provided the resources and project objective to discover the root causes of e-Governance challenges. The framing was constructed under recent theoretical trends of New Public Management Theory and Joined-Up Governance approaches to government administration. Extensive data collection was then performed to inform a remedy to these contemporary e-Governance issues. The premise of this thesis is to understand theory and practice of
e-Governance and apply methods to measure and propel that perspective to an operationally adaptable framework applicable to regional government.
e-Governance and apply methods to measure and propel that perspective to an operationally adaptable framework applicable to regional government.
ContributorsSchwartz, Michael (Author) / King, David (Thesis director) / Maynard, Andrew (Committee member) / School of Geographical Sciences and Urban Planning (Contributor, Contributor, Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Despite increased attention and funding from companies and governments worldwide over the past several years, cybersecurity incidents (such as data breaches or exploited vulnerabilities) remain frequent, widespread, and severe. Policymakers in the United States have generally addressed these problems discretely, treating them as individual events rather than identifying commonalities between them and forming a more effective broad-scale solution. In other words: the standard approaches to cybersecurity issues at the U.S. federal level do not provide sufficient insight into fundamental system behavior to meaningfully solve these problems. To that end, this dissertation develops a sociotechnical analogy of a classical mechanics technique, a framework named the Socio-Technical Lagrangian (STL). First, existing socio/technical/political cybersecurity systems in the United States are analyzed, and a new taxonomy is created which can be used to identify impacts of cybersecurity events at different scales. This taxonomy was created by analyzing a vetted corpus of key cybersecurity incidents, each of which was noted for its importance by multiple respected sources, with federal-level policy implications in the U.S..
The new taxonomy is leveraged to create STL, an abstraction-level framework. The original Lagrangian process, from the physical sciences, generates a new coordinate system that is customized for a specific complex mechanical system. This method replaces a conventional reference frame –one that is ill-suited for the desired analysis –with one that provides clearer insights into fundamental system behaviors. Similarly, STL replaces conventional cybersecurity analysis with a more salient lens, providing insight into the incentive structures within cybersecurity systems, revealing often hidden conflicts and their effects. The result is not a single solution, but a new framework that allows several questions to be asked and answered more effectively.
Synthesizing the findings from the taxonomy and STL framework, the third contribution involves formulating reasonable and effective recommendations for enhancing the cybersecurity system's state for multiple stakeholder groups. Leveraging the contextually appropriate taxonomy and unique STL framework, these suggestions address the reform of U.S. federal cybersecurity policy, drawing insights from various governmental sources, case law, and discussions with policy experts, culminating in analysis and recommendations around the 2023 White House Cybersecurity Strategy.
ContributorsWinterton, Jamie (Author) / Maynard, Andrew (Thesis advisor) / Bowman, Diana (Committee member) / Michael, Katina (Committee member) / Arizona State University (Publisher)
Created2023