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Peer Responses: Section 2

Peer Responses: Section 2

Responding to Person 1

Hello,

I appreciate your post. Your approach is sound in that it tracks purchased goods and services, waste generated from operations, and employee commuting through data systems. Tracking inventory purchases through the ERP system and extracting emission data from external databases is a feasible solution that could provide SMSU with accurate information. Additionally, your proposal to track waste by following dumpsters’ use and pickup rates is also useful, as it measures waste generation trends quantitatively: Peer Responses: Section 2.

However, in computing, the use of available data sets to estimate the distance traveled by employees and students is an efficient method of calculating emissions. By conducting random audits or setting up waste-sorting bins to determine waste composition, there could be an improvement in waste management (Sewak et al., 2021).

Additionally, adding real-time transport data from parking permits or swipe card use may also lead to improvement in commuting estimates. Encouraging collaboration with local transport providers could also provide information on commuting patterns and potential emission reduction strategies. Overall, your solutions reflect an excellent understanding of data-informed decision-making for sustainability.

References

Sewak, A., Kim, J., Rundle-Thiele, S., & Deshpande, S. (2021). Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions. Waste Management & Research: The Journal for a Sustainable Circular Economy, 39(7), 0734242X2098560. https://doi.org/10.1177/0734242×20985608

Responding to Person 2

Hello,

Great work with your post. I appreciate how you synthesized the conversation, supported the top three Scope 3 categories, and added commuting by students as a contributing factor. Your recommendation to use SMSU’s invoices and database to track emissions from purchased products is practical and would provide tangible numbers with which to work regarding sustainability initiatives. Tracking waste through regular reports is another excellent strategy, as it allows trends to be analyzed and targeted waste reduction strategies to be implemented (Imran et al., 2024).

Your recommendation to implement surveys on employee and student commuting is an excellent means to obtain first-hand data on modes and frequencies of transport, which could help to refine emission calculations. Adding alternative modes of transport, such as walking or cycling, could also help SMSU develop incentive systems to promote more environmentally friendly modes of commuting. Conclusively, your emphasis on using formal methods to obtain data is consistent with SMSU’s sustainability initiatives.

References

Imran, M., Jijian, Z., Sharif, A., & Magazzino, C. (2024). Evolving waste management: The impact of environmental technology, taxes, and carbon emissions on incineration in EU countries. Journal of Environmental Management, 364, 121440. https://doi.org/10.1016/j.jenvman.2024.121440

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Question


Instruction: Reply to threads

Section 2

Person 1

Purchased good or services – this could be tracked most likely through the schools ERP system if they keep electronic inventory records. Typically, you can pull reports based off of item/product type. SMSU could then compare that against supported data that exists as to what the scope 3 emission effects are.

Waste generate in operations – keep data as to how full dumpsters are, how often pickup is happening, random auditing of the waste to see what types of materials are being thrown out.

Employee (maybe student) commuting – This could be supported by data SMSU most likely already has. You would need a data set that has onsite employees and on-site students that live off campus. You could run a query against another data set containing student and employee addresses to calculate the miles between locations, and how many times per week they need to travel based off of their schedules(most likely a third data set).

Peer Responses: Section 2

Peer Responses: Section 2

Person 2

Based on looking at the previous discussion, it illustrates that we believed our top 3 to be purchased goods and services, waste generated in operations, and employee commuting (add in student commuting). Most of the discussions on how to adapt our information systems have similar ideas. With purchased goods and services, it would be important to look at data entered into SMSU’s database. This would involve looking at the invoices and categorizing them into the amount of emissions they give off.

For waste generated in operations, it could be more difficult to determine. One way to measure this group is to have monthly waste reports. This could give the college a better idea of where they have the most emissions and figure out ways to reduce it. Lastly for employee commuting, it’s pretty similar to what my peers said. If SMSU were to implement a survey, it could provide the college with the appropriate data on how many miles they drive and the type of vehicle they use for commute.

This could provide the college with data regarding car emissions and the amount of employees/students who bike or walk to campus. Like I said previously, most of us had a similar thought process when thinking about the different ways SMSU could adapt its information systems according to these three categories. Good job everyone

Client’s Notes:

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