| Course | BUSI 446 Retailing and Category Management (BUSI446) |
|---|---|
| Module/Week | 3 |
| Assignment | Discussion Board Forum 3 |
| Paper type | Discussion thread with two replies |
| Length | about 1,068 words (thread and replies). Course guide: a thread of 500 to 750 words and replies of 250 to 400 words to at least 2 classmates, each post citing 2 peer-reviewed sources in current APA format with 1 biblical integration |
| Format | APA 7 citations and reference list |
| Points | 50 |
| School | Liberty University Online |
| Program | BS in Business Administration |
| Where it sits | Module/Week 3 in Liberty's published BUSI 446 course guide; current sections can differ |
| Updated | October 2026 |
Free sample paper for BUSI 446 Week 3
Discussion Board Forum 3: Choosing a Site for a New Store
BUSI 446 Retailing and Category Management, Discussion Board Forum 3 Thread and Replies
Thread by [Student Name]
The forum prompt and the classmates are composites; the textbook, the research and the Scripture cited are real.
Thread
Suppose a regional hardware chain must choose between two sites for its next store. Site A is a freestanding pad beside a highway exit, with room for a 40,000-square-foot store and its own parking. Site B is a 25,000-square-foot space in a neighborhood strip center anchored by a grocery store. Rent is higher at Site A, but the store would be larger.
Levy et al. (2019) describe a store's trade area as the region from which it draws customers, divided into a primary zone that supplies most of its sales, a secondary zone and a fringe beyond. For a hardware store, the primary zone is usually small, because most trips are for a few items needed today. That points toward Site B, which sits inside dense neighborhoods.
The Huff gravity model gives a more careful answer. Huff (1964) proposed that the probability of a shopper choosing a store rises with the store's size and falls with the travel time needed to reach it, relative to every other store the shopper could choose. A larger store can pull from farther away, but each added minute of driving reduces its pull. Applied here, Site A's larger assortment would let it draw from the whole county, while Site B would win the quick trips of nearby households but lose larger project purchases to the big home centers.
Travel cost is not only a theory. Ma et al. (2011) found that when gasoline prices rose, households changed where they bought groceries, moving some spending toward supercenters where they could buy more in one stop. When each trip costs more, shoppers reward stores that let them finish the job in one visit. For a hardware store, that favors the larger site, where a contractor or homeowner can buy everything for a project at once.
A rough calculation shows how the model would separate the sites. Suppose a neighborhood two miles from Site B and seven miles from Site A also has a 100,000-square-foot home center eight miles away. Using square footage for attraction and travel time for distance, Site B's small size is offset by its closeness, so it would capture a large share of quick trips from that neighborhood. For a household 12 miles out in the county, though, Site B would barely register, while Site A, near the highway, would compete directly with the home center. The model does not settle the choice by itself, but it shows that the two sites would serve different customers and different trips.
My recommendation is Site A, with one condition: the chain should confirm with traffic counts that the exit carries enough local traffic, not only through traffic, because Levy et al. (2019) note that accessibility depends on the direction and purpose of travel as much as on the volume of cars.
Luke 14:28 describes a would-be tower builder doing the arithmetic first, because a half-finished tower invites mockery from the neighbors (English Standard Version Bible, 2001/2016). A store lease commits a retailer for 10 years or more. Counting the cost here means modeling the trade area and the competition honestly before signing, rather than choosing the site that looks impressive from the highway.
Reply to Caleb
Caleb, your plan to open a third coffee shop two miles from your second one makes sense given the traffic counts you found, but I would test it for cannibalization first. Levy et al. (2019) note that a new store near an existing one can take sales from it, so the chain gains less than the new store's total sales.
Pancras et al. (2012) examined this problem for a chain of fast-food restaurants and found that a new outlet draws part of its sales from the chain's existing outlets, with the effect falling as the distance between them grows. Their work suggests estimating the net gain, new sales minus the sales taken from nearby units, before approving a site. Kalnins (2004) studied hotel franchising and found that new units placed close to existing ones reduced the revenue of those nearby units, which is why franchisees often fight new openings in their area.
Proverbs 15:22 links a plan's success to the number of advisers consulted before it is carried out (English Standard Version Bible, 2001/2016). Asking the manager of your second shop how many customers come from the new site's direction would be a cheap first check. A more careful check would use the loyalty app, if the shops have one, to map where the second shop's regular customers live. If a third of them live closer to the new site, the chain should expect the new shop to take a meaningful share of their visits, and should count only the remaining sales as true gains when judging whether the site pays for its lease. What share of your second shop's customers live closer to the new site?
Reply to Olivia
Olivia, I liked your case for downtown locations because of foot traffic and the character they give a boutique, and the textbook agrees that central business districts offer high pedestrian traffic. I would add parking and accessibility to your analysis.
Bitner (1992) argued that the physical setting shapes how customers feel about and behave in a service business, and the surroundings of a store, including how easy it is to reach and park, are part of that setting. Baker et al. (2002) found that store environment cues influence shoppers' perceptions of merchandise value and their intention to shop at a store. A downtown boutique with charming architecture may lose shoppers who cannot find parking within a block, especially those carrying purchases.
That does not mean downtown is the wrong choice for your boutique. Levy et al. (2019) note that the right location depends on the retailer's target market and strategy, and a boutique selling unique clothing to shoppers who enjoy browsing may benefit from the foot traffic of nearby restaurants and galleries. The question is whether the shoppers you want will arrive on foot or by car. If most of your customers live in the suburbs, parking becomes part of your offer, and the site analysis should treat it as seriously as rent.
Proverbs 24:27 puts the fieldwork ahead of the house: prepare the land outside first, and build afterward (English Standard Version Bible, 2001/2016). For a downtown store, preparing the field might mean negotiating validated parking with a nearby garage before signing. Does your downtown have public parking within a short walk?
References
Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120-141. https://doi.org/10.1509/jmkg.66.2.120.18470
Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71. https://doi.org/10.1177/002224299205600205
English Standard Version Bible. (2016). Crossway. (Original work published 2001)
Huff, D. L. (1964). Defining and estimating a trading area. Journal of Marketing, 28(3), 34-38. https://doi.org/10.1177/002224296402800307
Kalnins, A. (2004). An empirical analysis of territorial encroachment within franchised and company-owned branded chains. Marketing Science, 23(4), 476-489. https://doi.org/10.1287/mksc.1040.0082
Levy, M., Weitz, B. A., & Grewal, D. (2019). Retailing management (10th ed.). McGraw-Hill Education.
Ma, Y., Ailawadi, K. L., Gauri, D. K., & Grewal, D. (2011). An empirical investigation of the impact of gasoline prices on grocery shopping behavior. Journal of Marketing, 75(2), 18-35. https://doi.org/10.1509/jm.75.2.18
Pancras, J., Sriram, S., & Kumar, V. (2012). Empirical investigation of retail expansion and cannibalization in a dynamic environment. Management Science, 58(11), 2001-2018. https://doi.org/10.1287/mnsc.1120.1540
What the BUSI 446 Week 3 instructions ask
The third week of BUSI 446 assigns chapters 7 and 8 of Levy et al., on retail location types and site selection, with one presentation, Discussion Board Forum 3, worth 50 points, and Exam 1, which covers chapters 1 through 6. The usual forum rules hold: a main post of 500 to 750 words, two peer responses of 250 to 400 words, and in all three, two peer-reviewed articles plus a biblical integration. Location questions invite analysis, so a post that works through an actual decision with the textbook's tools shows more than one that lists factors. Studying for the exam while drafting is easier when the posts are planned early.
How this BUSI 446 Week 3 example is built
The thread poses a concrete choice between two sites, defines the trade area with the textbook's primary, secondary and tertiary zones, and then applies the Huff gravity model, explaining in plain terms how store size and travel time trade off. A study of gasoline prices and shopping shows that travel costs change where people shop, which makes the model's distance term more than a classroom device. The post recommends the highway site with one condition and ends with Luke 14:28 on counting the cost. The first reply adds research on cannibalization when a chain adds stores near its own; the second weighs a classmate's preference for downtown sites.
BUSI 446 Week 3 grading rubric: where the points go
The rubric for Forum 3 rewards correct use of location concepts, such as trade area, primary and secondary zones, accessibility, visibility, cannibalization and the Huff model, applied to a decision rather than defined in a list. Graders expect every post's two journal articles to carry real weight in the argument, Scripture that connects to the reasoning, and replies that move a classmate's argument forward. Running long or short, or skipping APA citations, costs points that are easy to keep. Because Exam 1 falls in the same week and does not cover these chapters, the forum is the main graded test of whether the location material was understood.
BUSI 446 Week 3 help: mistakes that cost points
Choose a real kind of store and two realistic sites, then let the textbook's tools decide between them. Explain the Huff model in words before showing any numbers: larger stores attract from farther away, and every added minute of travel lowers the pull. Use a study that shows how distance or travel cost changes behavior, not just a definition. Pick a verse about planning, stewardship or counting costs and explain why it applies to committing to a 10-year lease. In replies, test the classmate's site choice with a different factor than the one they used. Keep each post inside its range and proofread before posting. Draft the replies only after reading several classmates' site choices, so you can pick the two where a location factor they missed would change the answer.
Related BUSI 446 sample papers
Other BUSI 446 weeks
- BUSI 446 Week 1: Forum 1: Omnichannel Stores
- BUSI 446 Week 2: Project Report 1: Market Strategy
- BUSI 446 Week 4: Project Report 2: Operations
- BUSI 446 Week 5: Forum 5: Category Roles
- BUSI 446 Week 6: Project Report 3: Pricing
- BUSI 446 Week 7: IFL Essay: A Biblical Store
- BUSI 446 Week 8: Final Project Report
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BUSI 446 Week 3 questions, answered
What is BUSI 446 Discussion Board Forum 3 about?
It applies chapters 7 and 8 of Levy et al. on retail locations and site selection, here a choice between a highway pad and a strip-center site.
Where can I find a free BUSI 446 Week 3 sample paper?
The page shows a full BUSI 446 Week 3 forum thread on trade areas and the Huff model with two replies, each citing two peer-reviewed studies and Scripture.
What is the Huff gravity model?
A model estimating the probability that a shopper in an area will patronize a store, based on the store's size relative to competitors and the travel time to reach it.
What is a trade area in retailing?
The geographic area from which a store draws its customers, usually split into primary, secondary and tertiary zones by how much of the store's sales each provides.
What else is due in BUSI 446 Module/Week 3?
Exam 1, 50 open-book multiple-choice questions on chapters 1 through 6 of Levy et al. with a two-hour limit, worth 100 points.
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