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Diversity, Equity, and Inclusion (DEI)

Scenario
You currently work at IBM and are applying for a new Diversity, Equity, and Inclusion (DEI) Manager position. As part of your interview process, you are to create a comparative analysis of IBM and one of its direct competitor’s initiatives related to diversity, equity, and inclusion for LGBTQ+ in the workplace. You will need to research IBM and a direct competitor (ex. Hewlett Packard, Xerox, Oracle, Accenture) and compare these companies’ DEI presence. You start by visiting the Human Rights Campaign website (www.hrc.org) or searching for the Corporate Equality Index (CEI).
Instructions
Create a comparative analysis that:
• Provides a short introduction on DEI employee initiatives for both companies.
• Defines the concepts of diversity, equity, and inclusion.
• Discusses the differences between the concepts of diversity, equity, and inclusion in the workplace for both companies.
• Compares the efforts in diversity, equity, and inclusion for the LGBTQ+ employees for both companies.
• Identifies best practices for implementing DEI employee initiatives for both companies and how leadership plays a role in the implementation.

Sample Solution

articipant’s reported narrow engagement with public sector services & local issues I selected the central theme of imagining the economic as one which would allow me to explore the central phenomenon of the legacy of the global financial crash through the lens of the remaining six themes. The data set included participants employed in both private sector and public sector making this a potentially rich set of cases to draw from. I poised the research questions: • how recession is factored into participant’s description of the present and projection of the future; • can participant’s attitudes to austerity policies be gauged through the transcripts. I had a number of hypotheses or hunches: • That respondents’ language has traces of the public discourse of austerity and/ ‘big society’. • That respondents who report being more financially secure may reference wealth inequality in the borough less • That respondents see local council provision as not for them, comparative to their consideration of other residents in the borough • That deviance might be associated, though not exclusively, with certain forms of consumerism On a second read I open coded the text before grouping codes under parent nodes. Corbin and Strauss call this stage ‘the process of breaking down, examining, comparing, conceptualising and categorising data’ (Strauss and. Corbin 1990:61). At this stage I tried to code a number as from participant’s own wording (‘invivo’) – to remain as close to the text as possible, in line with a grounded approach. A number of codes were later grouped under the ‘priori’ code of deviance one with an antecedent sociological theoretical framework. My coding framework shifted throughout the iterative process between coding and analysis to settle on a coding framework. Grounded theory is characterised by the risk of data fragmentation. To mitigate against this I coded chunks of text (typically full participant answers) rather than partial text. I further formed a grid to account for participants coded answers under different nodes to prevent decontextualisation from their overall interview and Excel demographic data. When coding I used the two techniques Strauss & Corbin refer to as the ‘mainstay of analysis’ (2008: 7): asking questions and making comparisons. I isolated key sections and asked sensidising questions of these. These questions helped identify the potentially different actors shaping participant’s views about austerity politics: partners, management at work, the public sector profession, the university sector. It also helped identify differences in definitions, for example in how participants understand the Southwark Council’s function. This form of questioning also identified the different consequences with which participants are acting, e.g the differing consequences of lost profit at work for P38 and P30. While within code constant comparisons brought out different aspects of the same phenomenon. For example, participant’s identification of being ‘liberal’ ranged from lapsed party affiliations to identification
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