Team communication assignment: An Annotated Bibliography

Question

Task: Can big data ethics assignmentresearch strategies be used to determine Ethical Issues in the Big Data Industry?

Answer

Introduction
In this big data ethics assignment, big data technology implementation in a real-life business study is discussed. It includes the identification of particular business process management issues that can affect Myer's business. Myer is an Australian chain of departmental stores. It has established the supply chain in 58 different locations with 14,000+ employees. The company uses big data technology and management, in their business procedure. Big data presents a complex and huge data that is stored and managed in the company’s cloud database.

In this part of the assignment, different business processes and management issues are discussed with specifications and future impact as well. it includes ethical, regulatory and data quality issues. In the next part, different data management and risk management factors are discussed critically. Overall, the report will explain the appropriate approach and strategy for big data management improvements and further business growth. The whole study or research is based on the Mayer company and its different operational processes. This is the responsibility of the data management team and business management authority to organize and operate the whole analysis implementation and strategies.

Ethical Issues identified on this big data ethics assignment
Ethical issues present different complexities or complications that are created by the overall business approach and management system toward the users. These ethical issues are essential in terms of brand trust, authority and sustainability in a competitive market(Schwartz, 2012). It is the responsibility of the project manager and other organizational leaders to develop an appropriate business management system that can resolve and manage all the ethical issues. In the case of Mayer, the ethical issues include,

• Poor workplace culture
• Unrealistic goal determination
• Questionable use of system technology

Four workplace cultures have been identified on this big data ethics assignment and they present the development of the organizational system and different policies that affect the flexibility and overall functionality of different teams and overall business. On the other hand, questionable use of system technology presents the use of different technology and information from the database to harm any stakeholder of the organisation such as employees(Flaherty, 2015). Overall, ethical issues can affect the brand authority, trust and overall market sustainability.

Regulatory Issues
Regulatory issues present different legal operations and complications that are associated with business management and system. These are essential for the management team and organizational leaders to evaluate these regulatory issues for better mitigation strategy and further development(Ozymy, &Ozymy, 2021). In this case of Mayer company, the particular big data regulatory issues are majorly associated with General Data Protection Regulation (GDPR). These are some set of regulations on data protection and privacy, that must be followed and maintained by all cloud-based businesses. It is also derived into different particular complications or issues such as,

Ownership Authentication of Data
In the big data ethics assignmentcase of big data in Mayer's company, a huge number of stakeholders are included. It includes employees departmental supply chain stakeholders, project managers, suppliers, etc. The information system used by Mayer doesn’t have any strong authentication procedure for the owners or system stakeholders. It may include system login credentials, user id verification, personal identity verification, etc.

Open Data and Public Sector Data
Some of the business data are modified or attached with open user sources for better interaction and management. On the other hand, public sector data are open to all the users or the public who can access and change the data to some extent. This open data and public sector data may cause different security issues and cyber-attack possibilities in the system.

Corporate Transaction
Corporate transactions present different business transactions that are created or conducted between different agencies, suppliers, supply chain stakeholders, developers, employees, et cetera. This also includes different tools of scription, taxes, maintenance expense, business expense, business travel expense, infrastructure maintenance expense, etc. Overall, corporate transactions maintain and manage the whole business process and the flow of revenue(Alsghaier et al., 2017). This can also create major issues of illegal documentation, data security, privacy policy, non-disclosure agreements, transactional agreements, etc.

Security Breaches
The country's government and the legal structure have already developed proper documentation of legal laws and security regulations. In that case, every organisation with big data and information system technology must follow those regulations to conduct business transactions. These must be protected by all the organizational policies and business strategies. This can create different issues in developing an aggressive marketing strategy and growth plan. On the other hand, the big data implementation will also be difficult to moderate and re-target the consumers.

Database Licensing
Database licensing is the procedure that provides appropriate legal documentation and protection of the database by legal authorities of government and country regulatory bodies. In this way, the database will be more secure and trustable to the consumers. On the other hand, this can create particular complications in the overall business process management and big data implementation process.

Taxation
Taxation is a major business operation for businesses identified on this big data ethics assignment. It is more severe and complex in case of use organisations with big data technology and complex information management system. This depends on the industry, technology, revenue growth, sales model, business assets, personal assets, etc. Overall, the company management and finance management system must consider all the tax forms and procedures to operate the whole transaction system. In the case of Mayer also, the taxation system and overall management will create different complexities and regulatory issues.

Data Quality Issues
In the big data ethics assignmentcase of big data management, data quality is a major issue to operate and maintain accordingly. In the case of Myer, the amount of data and associated stakeholders are huge. In that case, the data quality issues must be measured for appropriate mitigation and resolution strategy determination(Al Zalak, & Goujon, 2017). Data quality presents the completeness, consistency, validity, accuracy and uniqueness of particular data that is stored in the company database. However, data quality issues can be divided or categorised into four different segments such as,

Quality Problems
Quality problems present different qualitative properties of the business operations and overall management structure. These are majorly created by different management issues such as supply chain management issues, human resource management issues, etc. This is the responsibility of different organizational leaders such as managers and the overall management authority to identify and resolve this quality problem accordingly. The problems identified on this big data ethics assignment aredivided in terms of different organizational impacts and business effects such as,

• High defect rate
• Poor quality
• High return rate

A high defect rate presents problems that can affect the whole business process or management structure. On the other hand, poor quality presents inefficient management, business structure, understanding and business management processing. These three problems must be evaluated through organizational big data analysis and a risk management approach.

Output Problems
Output problems present different issues or complexities that are created by the overall business procedure and process structure. This also includes different business components and process output or results. For example,

• Long lead time management
• Inefficient production results and management
• Poor inventory clearance
• Supply chain interruption

All of these problems are majorly created by the inefficient management system or poor business process operation. There is a responsibility of the project managers and other managerial authorities to observe and document these issues in the system for further solution approaches. Food inventory clearance and supply chain interruption are both are correct for poor supply chain integration with the system and management transactions. Both of them are the output of those managerial issues.

Cost Problems
Cost problems are majorly connected or associated with the revenue, sales and overall financial structure of the organisation. In the case of Myer also, it is essential to observe, moderate and analyse different cost problems that are associated with a big data technology and implementation process. It includes,

• Low efficiency
• Idle technology

Low efficiency of the finance manager and overall financial management structure can cause different cost problems that can affect the overall revenue model and taxation system as well. On the other hand, idle technology presents outdated technological implementation that cannot help in fourth business growth and modern big data implementation outcomes. They cannot only affect the business structure but also will harm the brand authority.

Management Problems
Management problems are associated with the management structure and operational body of Mayer. In that case, these are primarily caused by poor management and leadership from the organizational leaders such as project managers. This includes,

• Security issues
• Poor working conditions

Both of them are caused by different management issues and system complications. Security issues the presence of complexity from both management body and information system technology(Benedek, 2012). On the other hand, poor working conditions present an efficient work culture and workplace scenario that can affect further business growth and sustainability.

Data Governance
Data governance is also another part or component of the data technology and management system in different cloud-based Enterprises observed on this big data ethics assignment. However, data governance is the process that can operate and manage the availability, integrity, security and usability of data in different enterprise information system technologies or software(Dyllick, & Muff, 2016). This is useful and effective in case of organizing and managing the overall system security and functional quality. Four particular features can be derived from the overall concept of data governance such as,

• Strategic governance
• Standards
• Integration
• Data Quality

This is the responsibility of the project manager, finance manager, management authority and other business leaders of Mayer, to evaluate and implement this particular feature of data governance into the overall business process management system. In this report, the identified issues can also be analysed, evaluated and resolved through proper data governance implementation.

Table 1: Data Governance
(Source: Developed by Author)

Data Risk Management
Dr risks are naturally derived from overall business process and different management regulatory bodies. However, some of the system data risks are also present in overall information system management in Mayer(Mwangi, 2012). The identified data risks in Mayer system technology are,

• Cyber-attack
• Poor database management
• Inefficient system support
• Inefficient supply chain management
• Data quality management
• Poor taxation system

Risk Matrix
On this big data ethics assignmentwe have used Risk matrix to measure the procedure that can present different system risks or big data risks in different categorization. This can clearly show the possibility of that risk the possibility of occurrence and sensitivity in terms of organizational impact(Lin et al., 2012). By evaluating this metrics, the project manager and other business leaders can clearly determine the most essential risks to resolve accordingly.

Table 2: Risk Matrix
(Source: Developed by Author)

Approach
The overall risk management procedure or system requires an appropriate approach from the stakeholders and management authority. This must be maintained and managed by all the organizational leaders such as a project manager, finance manager, board of directors, etc(Shahzad, &Sharfman, 2017). In this case of risks in Mayer big data system implementation, the system management approaches will be,

• Risk option analysis
• Protective equipment
• Dedicated development and support team
• Stakeholders’ engagement

It requires active communication, effective leadership and flexible approaches to implement all of these procedures into the business system and information technology management(Semenova, & Hassel, 2015). This will not only be helpful to resolve all the risks in the project but also will build appropriate growth and sustainability for Mayer.

Conclusion
In this report, the company background and big data implementation of Mayer, are easy discussed in terms of different business operations and other components. This is divided into different components or analysis that include business management and operational issues, proper data governance and risk analysis. The report starts with particular issues that are created by different systems regulations, and other factors. This can lead the organizational leaders and others, developers, to better organizational management and a resolving strategy for big data issues. On the other hand, the proper data content strategy and risk management approach will help in mitigating the whole system issues that will lead to an efficient business management process.

Overall, the big data ethics assignment concludes that the whole system and with that implementation has huge opportunity and scope for improvement in the existing information system model. It requires active observation, management and big data implementation of the proposed management structure to achieve successful big data implementation.

References
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Drnevich, P.L. and Croson, D.C., 2013. Information technology and business-level strategy: Toward an integrated theoretical perspective. MIS quarterly, pp.483-509.
Dyllick, T. and Muff, K., 2016. Clarifying the meaning of sustainable business: Introducing a typology from business-as-usual to true business sustainability. Organization & Environment, 29(2), pp.156-174.
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Mwangi, G.N., 2012. The effect of credit risk management on the financial performance of commercial banks in Kenya (Doctoral dissertation).

Ozymy, J. and Ozymy, J., 2021. Pungent Sound: Analyzing the Criminal Enforcement of Environmental Law in the Pacific Northwest. Manitoba Law Journal, big data ethics assignment44(6), pp.76-107.

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Semenova, N. and Hassel, L.G., 2015. On the validity of environmental performance metrics. Journal of Business Ethics, 132(2), pp.249-258.
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