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Feeling the Weight of the World: Managing Tensions in the Grand Challenge of Emerging Technology DevelopmentGardner, Joel E. January 2024 (has links)
Thesis advisor: Elizabeth Rouse / Society faces a variety of grand challenges: global problems that must be addressed through coordinated and collaborative effort such as reducing global poverty, effective management of natural resources, and balancing innovation and security in the development of emerging technologies. Management researchers have made great strides in conceptualizing what makes these challenges unique, why they are especially difficult to solve, and how organizations can help solve them. Despite this progress, we lack an understanding of the experience of the “grand challenge workers” who seek to address these problems, including the unique difficulties they face in their work and how they overcome them. Through a qualitative, inductive study of workers seeking to ensure the safe development of artificial intelligence and biotechnology, I explored the pressures and worrying thoughts that lead these workers to experience work performance anxiety. I show how, in response to this anxiety, workers engage in various bounding and reframing practices to limit the demands their work places on them and expand their sense of the resources available to them. I also illustrate how these workers relate to grand challenge communities: groups focused on coordinating efforts to address the grand challenge. I build theory around the contextual factors that lead workers to rely heavily on these communities and subsequently adopt an exclusive solidarity approach to addressing the grand challenge. I show how these workers recognize the threats this approach poses to their judgment, well-being, and effectiveness, and how they shift toward an expansive solidarity approach. Practically, this research provides insights into how these workers respond to the challenges they face in ways that enable them to address the grand challenge while also preserving their well-being. / Thesis (PhD) — Boston College, 2024. / Submitted to: Boston College. Carroll School of Management. / Discipline: Management and Organization.
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PARENTING CHALLENGES AND RESILIENCIES OF LATINO IMMIGRANT PARENTSRiggio, Nicolette Rose, Avalos, Brenda Irene 01 June 2017 (has links)
Latinos are the fastest growing ethnic group in the United States. Thirty five percent of Latinos who are currently children will be contributing taxpayers and will be having a great influence on the future economy. Immigrant Latino parents must overcome significant challenges to ensure their children’s well-being. The purpose of this study was to investigate the challenges and resiliencies of Latino immigrant parents. This study examines the resources Latino immigrant parents lacked and what knowledge and parenting skills they already obtained. This study specifically looked at Latino immigrant parents and their specific needs regarding parental knowledge and resources. This study used a qualitative design accomplished through the use of face to face and phone interviews. This study conducted 15 interviews with first generation Latino immigrant parents who resided in Southern California who migrated to the United States and had at least one child born in the United States. One major finding of this study was that Latino immigrant parents could benefit from school resources for their children such as tutoring, assistance with the college admission program and assistance with applying for scholarships and financial aid. Another major finding was that language was one dominant challenge and barrier that Latino immigrant parents faced that affected their ability to cope with the U.S school system. Based on the findings of this study one of the recommendations is to produce a policy that mandates the U.S school system to have translation services available for Latino immigrant families.
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Using Applied Behavior Analysis to Effectively Address the Learning and Behavior Challenges of Young Children With Autism: An Effective Science-Based ApproachNyarambi, Arnold, Mims, Pamela, Fox, James 01 February 2012 (has links)
No description available.
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Experiences of High School Noncompleters With Emotional and Psychological ChallengesPark, Christine M 01 January 2019 (has links)
High school noncompleters are those who did not earn a high school diploma. Before their early departure from high school, noncompleters often struggled with challenges (poverty, mental health, addiction, and emotional and physical abuse). Some enter remedial education to earn their equivalency credential. However, in this setting, they experience additional challenges, such as increased responsibility, stress, and anxiety. The problem surrounding the experiences of noncompleters has implications for counseling due to the limited use of and access to counseling as well as the disproportionate amount of mental health concerns and adversity among noncompleters. Current literature informs of the challenges noncompleters face, however more in-depth information on their experiences is still needed. The purpose of this hermeneutic phenomenological study was to address this gap and explore how adult remedial learners experience emotional and psychological challenges before dropping out and while enrolled in an equivalency program. Semi-structured interviews were conducted with 7 noncompleters ages 18-25 who were enrolled in adult remedial education classes in Hawaii, spoke English as their primary language, and self-reported experiencing emotional and psychological challenges. Data analysis through the hermeneutic circle yielded 11 themes: external adversity; interpersonal, emotional, psychological, and school struggles; maladaptive behaviors; high school equivalency is positive; external and internal protective factors; counseling is positive; and counseling limitations. From a social change perspective, results can be used to improve counseling services, reduce adversity, and improve outcomes for noncompleters.
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Exploring the Road to Readiness for a Circular Economy Implementation : A Case Study within the Manufacturing IndustryRöttger, Sophie, Fechner, Helena January 2020 (has links)
Background: The circular economy model is an essential theme in sustainable development research and a promising chance for companies to combine environmental and economic benefits. Nevertheless, a CE implementation was not realised in most companies to date. Purpose: The purpose of the study is to understand what hinders companies from becoming more circular and what measures need to be taken to initiate a CE implementation. Method: An embedded single case study methodology serves to explore the process of initiating a CE implementation, based on a firm within the manufacturing industry. Conclusion: Our research reveals the necessity of a pre-implementation phase before the CE implementation. The readiness of a company can be evaluated through a scoresheet that assesses the status quo. This scoresheet helps to estimate a potential urgency to achieve CE readiness. A pre-implementation sheet provides insights for firms to understand measures that need to be taken to reach readiness.
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Towards data-driven decision making: A Small Enterprise studySöderlund, Oliver January 2022 (has links)
In general, at smaller companies, decisions are based on the intuition of their experts within their respective areas. The decision processes are dependent on several aspects, such as assumptions and context, and some on data. Over the last year, the increase in data flow has enabled SMEs to make a decision in a systematic and planned process referred to as data-driven decision-making(DDM). Small-medium enterprises (SME) companies have been affected by enabling aspects. However, research shows challenges for SMEs trying to develop their DDM. To address these challenges, this thesis aims to propose a process to assess and develop data-driven decision-making in an SME within the manufacturing industry. The study has been made with a qualitative approach. In addition, a case study of an SME within the manufacturing industry has been done to study the phenomenon in a real-life situation. The data collection was conducted by a literature review, interviews, and planned and unplanned observations. The literature review showed that different aspects affect the development of DDM. The aspects discussed were the decision-making process, technology and organisational factors such as general change, organisational culture, resistance to change, management and the last aspect, Data quality. A maturity assessment model was discussed to introduce the ability to assess a company's current state. The empirical data discussed two main aspects: the current state and the desired future state. The empirical findings showed that there were three main levels of decision-making in the current state: Operator level, Production level, and Management level. The desired state discusses data expectations, which provides a view of the company's perception of what data is and how it is used. In the analysis, there were two main challenging aspects identified from the empirical and theoretical data, and these were organisational and technological factors. The challenges related to technological factors were identified, such as digital adaptation, technological uncertainties and data quality. The challenges related to Organisational factors were the decision-making process, adaptation to change, organisational culture and data quality. Based on these challenges and the evaluation of the maturity model and application process, a different proposed application process was created to help organisations develop their DDM. Some of the challenges identified within the SME company connect to the challenges found in theory, and they bring future support that these challenges are present in real-life situations. An aspect that was identified as both a technological factor and an organization is the need for data quality and evaluation of it within the organisation. It shows that this is a critical aspect that must be considered when developing DDM.Keywords: Data-driven decision-making, Techno
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AI and Business Decision Making : Striking a Balance between Efficiency and ResponsibilityLundberg, Filippa January 2023 (has links)
Numerous publications have expressed concerns regarding the use of artificial intelligence (AI) in business decision-making. These concerns encompass bias, competence, the absence of an AI development strategy, and the limited attention given to strategic and legal issues and explainability of AI decisions. Therefore, this thesis aims to explore these concerns and examine how companies can address the associated challenges by focusing on the perspectives of the interviewees.Apart from theoretical research and literature review, this thesis relies on qualitative research through semi-structured interviews to collect empirical data. The study involved four respondents who participated in the interviews and provided valuable insights contributing to the findings.The results highlight privacy, explainability, bias fairness, and competence and education as the major legal and strategic concerns associated with AI in business decision-making. The respondents suggested various solutions, including promoting diverse and inclusive decisionmaking processes, data classification, and the utilization of AI models to explain the decisions made by AI systems. In addition, outside the direct focus of the study, some respondents mentioned challenges to knowledge transfer and the use of cloud solutions for data storage.The study’s contributions provide companies that are implementing or have already implemented AI technologies for business decision-making with knowledge about the current challenges in this domain. It also offers insights into how the interviewees ranked these challenges in terms of priority and their perspectives on potential solutions and actions to achieve a balance between efficiency and responsibility. However, the study has limitations, such as a small number of respondents, which restricted the analysis of correlations between their answers and potential relations with their roles or company size. Companies should be mindful of these limitations for further research in this area.
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The challenges of using information communication technologies in the healthcare systems in Ethiopia from provider's perspectivesChalla, Dejene Kebede 11 1900 (has links)
The adoption of eHealth is very slow despite evidences showing its benefits. This research examines the individual, clinical, technical and organizational challenges for eHealth adoption from healthcare provider‟s perspectives. A cross-sectional study design with a quantitative paradigm was used. The study was conducted on 312 doctors and nurses randomly selected from ten hospitals in Addis Ababa, Ethiopia. Most respondents viewed eHealth positively with no significant differences in terms of profession or gender. Computer skill, workload, patient interaction, management support, cost and infrastructure were the main concerns. Privacy and security were not the main concerns. Knowledge of eHealth applications and utilization was low, even for evidence-based medicine and online databases. Specialists and males were better aware of eHealth applications. The study showed that eHealth acceptance was good. Increasing eHealth literacy was recommended as a cost effective means for improving access to updated information to improve the quality of healthcare. / Health Studies / M.A. Public Health (Medical Informatics)
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Cleantech SMEs’ Expectations and Perceptions of an Established Community-based Intermediary Moving into their SectorDahiya, Sushil 07 March 2013 (has links)
Innovation intermediaries provide a range of services to assist firms during the process of innovation. How SMEs perceive innovation intermediaries is an area of investigation that would provide important information on how innovation intermediaries’ assist small and medium enterprises (SMEs). This study focuses on the cleantech industry and explores SMEs’ expectations and perceptions of an established community-based intermediary (CBI) moving into their sector. A qualitative research methodology was adopted to collect data from 15 sample SMEs. In regards to SMEs, the findings show that cleantech companies face financing, partnerships, marketing, sales, regulatory and bureaucratic challenges. In regards to innovation intermediaries, the findings showcase how CBI, a regional intermediary, is not effective in supporting cleantech SMEs with their sector specific needs or challenges.
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Cleantech SMEs’ Expectations and Perceptions of an Established Community-based Intermediary Moving into their SectorDahiya, Sushil 07 March 2013 (has links)
Innovation intermediaries provide a range of services to assist firms during the process of innovation. How SMEs perceive innovation intermediaries is an area of investigation that would provide important information on how innovation intermediaries’ assist small and medium enterprises (SMEs). This study focuses on the cleantech industry and explores SMEs’ expectations and perceptions of an established community-based intermediary (CBI) moving into their sector. A qualitative research methodology was adopted to collect data from 15 sample SMEs. In regards to SMEs, the findings show that cleantech companies face financing, partnerships, marketing, sales, regulatory and bureaucratic challenges. In regards to innovation intermediaries, the findings showcase how CBI, a regional intermediary, is not effective in supporting cleantech SMEs with their sector specific needs or challenges.
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