ANNOTATED BIBLIOGRAPHY 2
Dong, C., Liu, J., & Mi, J. (2023). How to Enhance Data Sharing in Digital Government
Construction: A Tripartite Stochastic Evolutionary Game Approach. Systems, 11(4), 212.
https://doi.org/10.3390/systems11040212
Summary
The main topic that the researchers are discussing is how cross-sectoral data sharing is
essential to improving information provided digitally by governments.
The main argument of the research is that for governments to be able to share data they
need to establish clear guidelines among multiple departments.
The main findings of the research are that there is a stable point in the process of cross-
department data sharing.
Assessment
The article is useful because it analyzes how data sharing among governments through
digital platforms has increased.
It compares to other sources because it advises internal and external mechanisms that can
be put in place to successfully share data.
Reflection
This source will be useful in my discussion because it talks about the need to invest in
systems to be able to data share without having any issues. Also, it analyzes the
parameters that must be put in place to help with numerical simulation.
I plan to use this source to research to further analyze how cross functional data sharing
benefits organizations.
ANNOTATED BIBLIOGRAPHY 3
Lv, Z. (2021). Business-oriented data management in conglomerates: insights from government
data sharing. E3S Web of Conferences, 290, 02031.
https://doi.org/10.1051/e3sconf/202129002031
Summary
The main topic that the researchers are discussing is the role that data sharing has when it
comes to creating a stronger organization.
The main argument of the research is that data sharing can strengthen relationships
between corporations and help promote knowledge diffusion.
The main findings of the research are that to implement big data sharing businesses
should base their strategy base on their company principles. Also, companies should keep
in mind that consumers also would like to be able to access company information to
make informed purchase decisions.
Assessment
The article is useful because it analyzes the FEA framework and provides information on
how it can be a useful tool in data sharing.
It compares to other sources because it discusses the steps that organizations need to take
to successfully share data with other companies to be able to help in the decision-making
process.
Reflection
ANNOTATED BIBLIOGRAPHY 4
This source will be useful in my discussion because I will to be able to provide a
framework on what departments should be held accountable for data sharing.
I plan to use this source to further explore how the FEA framework can be used within
other organizations.
Niu, B., Dong, J., Dai, Z., & Liu, Y. (2021). Sales Data Sharing to Improve Product Development
Efficiency in Cross-border E-commerce. Electronic Commerce Research and
Applications, 101112. https://doi.org/10.1016/j.elerap.2021.101112
Summary
The main topic that the researchers are discussing is how data sharing can lead to
improving products and in the development of future products.
The main argument of the research is that it is beneficial for different retailers to share
data amongst each other to be able to analyze sales.
The main findings of the research are that sales data can lead to a positive advantage
within organizations.
Assessment
The article is useful because it analyzes the advantages of data sharing in the retail sector.
It compares to other sources because it provides insights on how the data that is shared
can influence strategic decisions made both internally and externally by other companies.
Reflection
ANNOTATED BIBLIOGRAPHY 5
This source will be useful in my discussion because it will help me frame my argument
on how data sharing can help companies make informed decisions.
I plan to use this source to further explore what the downside of retail companies sharing
sales data is and how it can negatively impact a company.
Wang, B., Guo, Q., & Yu, Y. (2022). Mechanism design for data sharing: An electricity retail
perspective. Applied Energy, 314, 118871.
https://doi.org/10.1016/j.apenergy.2022.118871
Summary
The main topic that the researchers are discussing is the benefits of data sharing between
retailers and suppliers.
The main argument of the research is that data sharing can lead to greater profitability.
The main findings of the research are that data sharing and profit allocation mechanism
will help the electricity retailer and data suppliers to earn more money by sharing
information amongst each other.
Assessment
The article is useful because it analyzes how data sharing can help both the retailer and
the supplier maximize profits.
It compares to other sources because it discusses how data sharing can help retailers and
suppliers make better informed business decisions.
ANNOTATED BIBLIOGRAPHY 6
Reflection
This source will be useful in my decision because it provides insights on the benefits of
data sharing and how it can help with both the demand and the supply of a business.
I plan to use this source to further research how forecasts and market designs play a role
in data sharing.
Zhou, L., Chen, L., & Han, Y. (2021). “Data stickiness” in interagency government data sharing:
a case study. Journal of Documentation, ahead-of-print(ahead-of-print).
https://doi.org/10.1108/jd-04-2021-0087
Summary
The main topics that the researchers are discussing are data stickiness in interagency data
sharing.
The main argument of the research is that for governments to be able to successfully
share data they must have a collaborative system of sharing data among several
government agencies.
The main findings of the research are that lack of training when it comes to data sharing
was the root cause of data stickiness in IDS.
Assessment
The article is useful because it explores how management can help eliminate tensions
when it comes to interagency data sharing.
ANNOTATED BIBLIOGRAPHY 7
It compares to other sources because it analyzes how the lack of technological tools can
hinder the exchange of data.
Reflection
This source will be useful in my discussion because it analyzes how personal perceptions
of data sharing can also hinder the success of data transferring across different channels.
I plan to use this source to further research how perceptions can prevent a business from
transferring data and implementing other digital tools within an organization.
ANNOTATED BIBLIOGRAPHY 8
References
Dong, C., Liu, J., & Mi, J. (2023). How to Enhance Data Sharing in Digital Government
Construction: A Tripartite Stochastic Evolutionary Game Approach. Systems, 11(4), 212.
https://doi.org/10.3390/systems11040212
Lv, Z. (2021). Business-oriented data management in conglomerates: insights from government
data sharing. E3S Web of Conferences, 290, 02031.
https://doi.org/10.1051/e3sconf/202129002031
Niu, B., Dong, J., Dai, Z., & Liu, Y. (2021). Sales Data Sharing to Improve Product Development
Efficiency in Cross-border E-commerce. Electronic Commerce Research and
Applications, 101112. https://doi.org/10.1016/j.elerap.2021.101112
Wang, B., Guo, Q., & Yu, Y. (2022). Mechanism design for data sharing: An electricity retail
perspective. Applied Energy, 314, 118871.
https://doi.org/10.1016/j.apenergy.2022.118871
Zhou, L., Chen, L., & Han, Y. (2021). “Data stickiness” in interagency government data sharing:
a case study. Journal of Documentation, ahead-of-print(ahead-of-print).
https://doi.org/10.1108/jd-04-2021-0087
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