This paper attempts to justify punishment on the grounds that it is a benefit to the person being punished. I accept the basic premise of a previous theory of punishment, the Moral Good Theory (MGT), which states that we cannot harm anyone. Thus, punishment can only be justified if it is not a harm. The MGT claims that punishment is beneficial in that it provides a moral education to the offender. I I reject the idea that punishment is morally educational and instead propose a new theory which revises and strengthens the MGT, accounting for its flaws. This new theory, the Social Good Theory, argues instead that punishment is beneficial because it allows a criminal to be reintegrated into society.

Accountability for corporate social responsibility (CSR) and its societal challenges is undetermined, and it is unclear whether business or society should carry these responsibilities. Despite severe criticism from some, many organizations continue to invest in and promote CSR. The purpose of this multiple-case study was to increase the understanding of the phenomenon from the perspective of a purposeful sample of participants who contribute to CSR execution and who were representatives of the 10 organizations identified as active promoters. The participant corporations (case studies), in Europe and North America, were mainly in the telecommunications industry. Study data came from 11 face-to-face, semistructured interviews with chief executive officers (CEOs) and other CSR key participants, a review of corporate archival records, and a review of other sources regarding the effective implementation of CSR in these organizations. The conceptual framework consisted of Carroll'€™s constructs of CSR based on economic, legal, social, and discretionary elements. The constant comparative method was used to analyze the interview data and identify factors leading corporations to continue to engage in CSR. These factors were economic, social impact, legal compliance, or good reputation, sponsored by transformational or adaptive leaderships and endorsed by visionary CEOs. The findings may enlighten and motivate other organizations to engage in CSR programs and connect stakeholders'€™ contribution to a broadened positive social change.

With the large growth in use of social media by teenagers, young adults and adults alike, there has also been a boom in the number of charitable nonprofit organizations that are adopting the medium to reach out to existing and potential supporters. But has social media been an effective tool in spreading out the word about a cause while retaining and recruiting donors and volunteers? This multimedia report aims at analyzing how three Austin-area nonprofits are using Facebook and Twitter to connect to constituents, as well as how online and offline constituents are responding to this relatively new approach. In order to do that, a series of interviews were conducted with nonprofit professionals, supporters, and industry and academia experts. In addition to that, constituents were surveyed about their engagement with the organizations both online and offline. To view this project in its entirety, including the video interviews, please visit http://evamenezes.com/mastersreport/. / text

<p>Private organizations are facing organizational field pressures which need to be addressed from an economic and ethical point of view in order to be sustainable in the long term. The present research study analyzes the role of the Pharmaceutical Industry as a provider of a social good and its responsibility towards its organizational field and stakeholder network. On the one hand it is argued that the mentioned industry should be profitable in order to make investments in research and development; while on the other hand, the industry must demonstrate engagement in the social sphere because of the good it commercializes, human health care. The Role of Organizational Policies, Codes and Structure will also be studied in order to deepen the understanding of the organization strategy towards Corporate Responsibility Practices.</p><p>This research project presents a case study of AstraZeneca Sweden Corporate Responsibility practices. In this study an Analytical Framework is developed based on institutional theory, the stakeholders' model, deliberative democracy model and business ethics. The mentioned framework will contribute to the understanding of AstraZeneca's Corporate Responsibility practices. The role of the company towards the demands from the outside world that causes the organization to respond and act will be addressed as well as the role of Policies, Codes and Organizational Structure in the Corporate Responsibility practice of the organization. We argue that the managerial response should be based upon a deliberative engagement method, in which all the interest parties are included in the decision making process.</p><p>The study is supported by two interviews which were conducted with key actors and extensive secondary data.</p>

Private organizations are facing organizational field pressures which need to be addressed from an economic and ethical point of view in order to be sustainable in the long term. The present research study analyzes the role of the Pharmaceutical Industry as a provider of a social good and its responsibility towards its organizational field and stakeholder network. On the one hand it is argued that the mentioned industry should be profitable in order to make investments in research and development; while on the other hand, the industry must demonstrate engagement in the social sphere because of the good it commercializes, human health care. The Role of Organizational Policies, Codes and Structure will also be studied in order to deepen the understanding of the organization strategy towards Corporate Responsibility Practices. This research project presents a case study of AstraZeneca Sweden Corporate Responsibility practices. In this study an Analytical Framework is developed based on institutional theory, the stakeholders' model, deliberative democracy model and business ethics. The mentioned framework will contribute to the understanding of AstraZeneca's Corporate Responsibility practices. The role of the company towards the demands from the outside world that causes the organization to respond and act will be addressed as well as the role of Policies, Codes and Organizational Structure in the Corporate Responsibility practice of the organization. We argue that the managerial response should be based upon a deliberative engagement method, in which all the interest parties are included in the decision making process. The study is supported by two interviews which were conducted with key actors and extensive secondary data.

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The competitive environment of the 21st century, failure of U.S. companies, and the financial crisis of 2008 have moved leadership expectations to the forefront of research. However, there is a lack of empirical research about organizational reporting outcomes of self-identified servant leadership (SL) organizations compared to self-identified nonservant (non-SL) organizations. Guided by Greenleaf's SL theory, the purpose of this study was to compare information on organizational data for triple bottom line (TBL) reporting outcomes in SL organizations and non-SL organizations. Using causal comparative research design and global reporting initiative data with a sample of 12 organization reports, reporting outcomes were compared from 6 SL and 6 non-SL organizations. The independent variables were SL and non-SL organizations. The dependent variables were TBL outcomes (social, financial, and environmental) with 55 intervening variables such as economic impact, greenhouse gas emissions, and human rights. Data analysis included descriptive statistics such as comparative analysis of the total and average of reporting outcomes and inferential statistics such as t tests. Findings of the study showed no statistically significant differences existed between TBL reporting outcomes of SL and non-SL organizations. Implications for positive social change lie in the focus on humanism in leadership in which organizational reports provide reliable outcome data for future community building and influence on social good.

The argument goes that, as living standards rise, the demand for better environmental management increases and a liberal political system is best placed to deal with such issues. In contrast to the dominant discussions of environmentalism, which concentrates on the relationship between democracy and environmentalism, this thesis suggests that environmental protection can become a playground for authoritarian regimes to pursue ulterior motives and goals. Using the concept of environmental authoritarianism, the following research assesses the resilience capacity of the Chinese Communist Party (CCP) despite the gravity of its environmental crisis and mounting citizen grievances. An ethnographic methodology composed of different methods is employed to undertake the investigation including participant observation, field notes, interviews and document analysis. The implementation of cooperation and legitimation strategies are investigated at an urban city level in the field of environmental sustainability. Broadly, the thesis argues that the environmental governance capacity of the CCP has been developed around three ideas: (1) (re)centralise environmental governance efforts; (2) create a consensus around environmental protection (e.g. ‘ecological civilisation’); and (3) institutionalise grassroots movements. Using actor-network-theory as a method of analysis, I explore how these processes occur in practice at a local level through two case studies: a registered NGO working on waste reduction and a social enterprise aimed at strengthening rural communities and promoting sustainable agriculture. The thesis findings indicate that there has been a shift from fragmentation to a consolidation resulting in less room for contentious participation. The instrumentalisation of environmental issues by the government prevent environmental activists to resist co-optation by the government machinery. Still, empirical evidence demonstrates that actors continuously adapt to new pressures. Broadly, by focusing on Shanghai as a case study, the following research advances that environmental protection is being instrumentally mobilised to legitimise a variety of planning practices through the use of a complex combination of mobilising, politicising and depoliticising techniques. Wider conclusions are drawn on authoritarian resilience, China’s public participation, and authoritarian modes of environmental governance. / Doctorat en Sciences politiques et sociales / info:eu-repo/semantics/nonPublished

<p>As more and more datasets with self-exciting properties become available, the demand for robust models that capture contagion across events is also getting stronger. Hawkes processes stand out given their ability to capture a wide range of contagion and self-excitation patterns, including the transmission of infectious disease, earthquake aftershock distributions, near-repeat crime patterns, and overdose clusters. The Hawkes process is flexible in modeling these various applications through parametric and non-parametric kernels that model event dependencies in space, time and on networks.</p> <p>In this thesis, we develop new frameworks that integrate Hawkes Process models with multi-armed bandit algorithms, high dimensional marks, and high-dimensional auxiliary data to solve problems in search and rescue, forecasting infectious disease, and early detection of overdose spikes.</p> <p>In Chapter 3, we develop a method applications to the crisis of increasing overdose mortality over the last decade.  We first encode the molecular substructures found in a drug overdose toxicology report. We then cluster these overdose encodings into different overdose categories and model these categories with spatio-temporal multivariate Hawkes processes. Our results demonstrate that the proposed methodology can improve estimation of the magnitude of an overdose spike based on the substances found in an initial overdose. </p> <p>In Chapter 4, we build a framework for multi-armed bandit problems arising in event detection where the underlying process is self-exciting. We derive the expected number of events for Hawkes processes given a parametric model for the intensity and then analyze the regret bound of a Hawkes process UCB-normal algorithm. By introducing the Hawkes Processes modeling into the upper confidence bound construction, our models can detect more events of interest under the multi-armed bandit problem setting. We apply the Hawkes bandit model to spatio-temporal data on crime events and earthquake aftershocks. We show that the model can quickly learn to detect hotspot regions, when events are unobserved, while striking a balance between exploitation and exploration. </p> <p>In Chapter 5, we present a new spatio-temporal framework for integrating Hawkes processes with multi-armed bandit algorithms. Compared to the methods proposed in Chapter 4, the upper confidence bound is constructed through Bayesian estimation of a spatial Hawkes process to balance the trade-off between exploiting and exploring geographic regions. The model is validated through simulated datasets and real-world datasets such as flooding events and improvised explosive devices (IEDs) attack records. The experimental results show that our model outperforms baseline spatial MAB algorithms through rewards and ranking metrics.</p> <p>In Chapter 6, we demonstrate that the Hawkes process is a powerful tool to model the infectious disease transmission. We develop models using Hawkes processes with spatial-temporal covariates to forecast COVID-19 transmission at the county level. In the proposed framework, we show how to estimate the dynamic reproduction number of the virus within an EM algorithm through a regression on Google mobility indices. We also include demographic covariates as spatial information to enhance the accuracy. Such an approach is tested on both short-term and long-term forecasting tasks. The results show that the Hawkes process outperforms several benchmark models published in a public forecast repository. The model also provides insights on important covariates and mobility that impact COVID-19 transmission in the U.S.</p> <p>Finally, in chapter 7, we discuss implications of the research and future research directions.</p>

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