Matching Items (3)
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- All Subjects: Big Data
- Creators: Department of Management
- Status: Published
Description
This thesis explores the relationship between introversion and individual commitment to corporate social responsibility. Research was gathered from a survey that classifies respondents as introverts or extroverts, and analyzes perceptions and commitment to social responsibility both on an organizational and personal behavior level. Findings from the study show that introverts are not more likely than extroverts to prioritize social responsibility at work or through their personal lives. However, there is evidence in this study that introverts think about corporate social responsibility and its effects on business success in a different way than extroverts. Introverts focus on avoiding risk, and they may be more prone than extroverts to see business success and social responsibility as two opposing forces. Introverts also perceive a wider gap between the current state of prioritization for CSR responsibilities and what they feel this prioritization should be. This study has a number of practical implications for business leaders hoping to increase commitment to CSR within an organization while drawing on the strengths of each personality type. Recommendations for increasing commitment to CSR are based on survey findings and research from secondary sources.
ContributorsSprayberry, Alex Bowen (Author) / LePine, Marcie (Thesis director) / Spierre Clark, Susan (Committee member) / Barrett, The Honors College (Contributor) / School of Community Resources and Development (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)
Created2015-05
Description
Investment real estate is unique among similar financial instruments by nature of each property's internal complexities and interaction with the external economy. Where a majority of tradable assets are static goods within a dynamic market, real estate investments are dynamic goods within a dynamic market. Furthermore, investment real estate, particularly commercial properties, not only interacts with the surrounding economy, it reflects it. Alive with tenancy, each and every commercial investment property provides a microeconomic view of businesses that make up the local economy. Management of commercial investment real estate captures this economic snapshot in a unique abundance of untapped statistical data. While analysis of such data is undeniably valuable, the efforts involved with this process are time consuming. Given this unutilized potential our team has develop proprietary software to analyze this data and communicate the results automatically though and easy to use interface. We have worked with a local real estate property management and ownership firm, Reliance Management, to develop this system through the use of their current, historical, and future data. Our team has also built a relationship with the executives of Reliance Management to review functionality and pertinence of the system we have dubbed, Reliance Dashboard.
ContributorsBurton, Daryl (Co-author) / Workman, Jack (Co-author) / LePine, Marcie (Thesis director) / Atkinson, Robert (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Management (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
As the use of Big Data gains momentum and transitions into mainstream adoption, marketers are racing to generate valuable insights that can create well-informed strategic business decisions. The retail market is a fiercely competitive industry, and the rapid adoption of smartphones and tablets have led e-commerce rivals to grow at an unbelievable rate. Retailers are able to collect and analyze data from both their physical stores and e-commerce platforms, placing them in a unique position to be able to fully capitalize on the power of Big Data. This thesis is an examination of Big Data and how marketers can use it to create better experiences for consumers. Insights generated from the use of Big Data can result in increased customer engagement, loyalty, and retention for an organization. Businesses of all sizes, whether it be enterprise, small-to-midsize, and even solely e-commerce organizations have successfully implemented Big Data technology. However, there are issues regarding challenges and the ethical and legal concerns that need to be addressed as the world continues to adopt the use of Big Data analytics and insights. With the abundance of data collected in today's digital world, marketers must take advantage of available resources to improve the overall customer experience.
ContributorsHaghgoo, Sam (Author) / Ostrom, Amy (Thesis director) / Giles, Bret (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)
Created2014-05