Reading List For Module 1: Research Articles

Reading List For Module 1these Are Research Articles That You Can Acc

Reading List for Module 1. These are research articles that you can access the full pdf version using your UNT login into the UNT Library. There is information on how to use the Library and its resources under the Start Here module – University Library Services. Also, there is a HMGT 5250 Course Guide maintained by our designated Librarian Briana Knox. You will find that link under the Welcome! Module. Use the library to search all journal articles. Do not google or use sites that require you to pay. You have access via the UNT library. Parsa, H. G., Self, J. T., Njite, D., & King, T. (2005). Why restaurants fail. Cornell Hotel and Restaurant Administration Quarterly, 46(3). Retrieved from Parsa, H. G., Self, J., Sydnor-Busso, S., & Yoon, H. J. (2011). Why restaurants fail? Part II - the impact of affiliation, location, and size on restaurant failures: Results from a survival analysis. Journal of Foodservice Business Research, 14(4). doi:10.1080/.2011.625824 Parsa, H. G., van der Rest, Jean-Pierre I, Smith, S. R., Parsa, R. A., & Bujisic, M. (2015). Why restaurants fail? Part IV: The relationship between restaurant failures and demographic factors. Cornell Hospitality Quarterly, 56(1), 80-90. doi:10.1177/ Parsa, H. G., Kreeger, J. C., van der Rest, J., Xie, L., & Lamb, J. (2021). Why restaurants fail? Part V: Role of economic factors, risk, density, location, cuisine, health code violations, and GIS factors. International Journal of Hospitality & Tourism Administration, 22(2), DOI: 10.1080/.2019. Self, J. T., Jones, M. F., & Botieff, M. (2015). Where restaurants fail: A longitudinal study of micro locations. Journal of Foodservice Business Research, 18(4). doi:10.1080/.2015. These articles are found on websites. The link should take you to that specific site. Klein, D. (2019). Are Restaurants Headed for a Course Correction? QSR . Crawford, R. (2019). Restaurant Profitability and Failure Rates: What You Need to Know. FSR . Gotshalk, N. (2019). These chains are closing the most restaurants in 2019. Moneywise. Cochrane, C. (2020). These Chains Are Closing the Most Restaurants. Moneywise. Gubbins, T. (2018, 2019, 2020). Master list of every Dallas restaurant that sadly closed in 2018, 2019, 2020, 2021. CultureMap Dallas. Master list of every Dallas restaurant and bar that closed in 2021 - CultureMap Dallas State of the Industry Reports. Some are full reports, and some are overviews. The National Restaurant Association. The National Restaurant Association is the largest foodservice trade association in the world. We represent and advocate on behalf of more than 500,000 restaurant businesses. 2022 State of the Restaurant Industry 2022 State of the Restaurant Industry | National Restaurant Association Visual Executive Summary is available to download. NRA National Statistics and Fact sheets. National Statistics | National Restaurant Association NRA Economic Indicators Economic Indicators | National Restaurant Association Yelp Data. Based on more than 224M reviews and hundreds of millions of photos, Yelp has amassed a unique dataset that can be used to uncover local economic trends and insights. Yelp Data Reveals How the Labor Shortage and Inflation are Impacting the Restaurant Industry as People Flock Back to On-Premise Dining. June 2022 State of the Restaurant Industry, 2022 (yelpeconomicaverage.com) Open Table. Our story. We love what can happen around the restaurant table. And since 1998 we’ve been committed to empowering that experience. From helping restaurants of all sizes thrive, to enabling diners to find and book the perfect table for every occasion, our story is one of human connection—among diners and restaurants, and between restaurants and their communities. The restaurant industry in recovery State of the Industry | OpenTable Black Box Intelligence. Check out the history of Black Box Intelligence. Black Box Intelligence (formerly TDn2K) provides data, research, and analysis for companies in the restaurant industry. Resource Library - Black Box Intelligence They have some interesting reports, and some have downloads if you choose to request them. They may go to clutter or junk when they come.

Paper For Above instruction

Understanding Factors Behind Restaurant Failures and Industry Trends

The restaurant industry is a dynamic and complex sector that is continuously influenced by a multitude of factors ranging from economic conditions to internal management practices. The high failure rate of restaurants has been a subject of extensive research aimed at understanding the underlying causes and identifying strategies to enhance survival and profitability. This paper synthesizes recent scholarly articles, industry reports, and data analytics sources to provide a comprehensive overview of the key factors impacting restaurant success and failure, along with recent industry trends during recovery phases post-pandemic.

Factors Contributing to Restaurant Failures

Research indicates that numerous factors contribute to the failure of restaurants, with financial mismanagement, poor location, limited market differentiation, and operational inefficiencies consistently highlighted. Parsa et al. (2005) identified managerial shortcomings and financial miscalculations as primary reasons behind restaurant failures. They argue that a lack of strategic planning and poor financial controls often result in unsustainable operations. Similarly, Parsa et al. (2011) extended this understanding by emphasizing the impact of location and affiliation, asserting that restaurants with unfavorable locations or lack of industry affiliation tend to have higher failure rates. Location plays a vital role as it directly influences foot traffic and accessibility, vital for a restaurant's survival (Parsa et al., 2015).

Economic factors also significantly affect restaurant viability. Parsa et al. (2021) analyzed how economic risks, density issues, health code violations, and geographic information systems (GIS) factors influence failure rates. Their findings suggest that economic downturns, high operational density, and regulatory violations increase the likelihood of failure. Additionally, demographic considerations, such as target market profile and community preferences, determine the long-term sustainability of restaurant ventures (Parsa et al., 2015).

Recent Industry Data and Trends

Industry reports and analytics provide insight into current challenges and resilience strategies within the sector. Industry analysts from the National Restaurant Association (2022) highlight that despite setbacks due to the COVID-19 pandemic, the industry is in recovery mode. Their data shows increased consumer engagement with on-premise dining and a rebound in restaurant openings after pandemic closures. However, closures remain significant, with data from CultureMap Dallas (2018–2021) documenting numerous restaurant and bar closures. These closures often stem from financial distress, operational challenges, or shifts in consumer preferences following the pandemic.

Leading chains and independent restaurants face different hurdles. Crawford (2019) notes that profitability issues are exacerbated by rising labor costs, inflation, and supply chain disruptions. Klein (2019) suggests that a significant portion of restaurants are heading toward a strategic "course correction," aiming to adapt to new consumer behaviors and technological advancements. Furthermore, reports from Black Box Intelligence reveal that data-driven decision-making, including analytics on customer preferences and operational efficiencies, is becoming essential for staying competitive (Black Box Intelligence, n.d.).

The Role of Data and Technology

Data analytics platforms such as Yelp and OpenTable provide valuable insights into local economic trends and consumer behaviors. Yelp’s dataset, containing over 224 million reviews, helps identify patterns related to labor shortages, inflation, and consumer activity, supporting targeted strategic planning (Yelp, 2022). Similarly, OpenTable's booking and customer preference data empower restaurants to optimize reservation systems and enhance guest experiences, crucial for recovery and growth (OpenTable, 2022). Advances in geographic information systems (GIS) also allow operators to analyze spatial patterns influencing restaurant success, leading to better site selection and marketing strategies (Parsa et al., 2021).

Conclusion

Understanding the multifaceted causes of restaurant failures requires integrating scholarly research with industry insights and data analytics. Location, financial management, economic risks, and demographic factors are critical determinants of success. Industry reports signal that despite a challenging recovery environment post-pandemic, the restaurant sector is adapting through technological innovation and strategic repositioning. A data-informed approach, coupled with strategic management practices, holds the promise of reducing failure rates and fostering sustainable growth in the evolving landscape of the restaurant industry.

References

• Black Box Intelligence. (n.d.). Resource Library. https://blackboxintelligence.com/resources/
• Crawford, R. (2019). Restaurant Profitability and Failure Rates: What You Need to Know. FSR.
• Gubbins, T. (2018–2021). Master list of every Dallas restaurant that sadly closed. CultureMap Dallas.
• Klein, D. (2019). Are Restaurants Headed for a Course Correction? QSR.
• National Restaurant Association. (2022). State of the Restaurant Industry. https://restaurant.org/research/state-of-industry
• Parsa, H. G., Self, J. T., Njite, D., & King, T. (2005). Why restaurants fail. Cornell Hospitality Quarterly, 46(3).
• Parsa, H. G., Self, J., Sydnor-Busso, S., & Yoon, H. J. (2011). Why restaurants fail? Part II. Journal of Foodservice Business Research, 14(4).
• Parsa, H. G., van der Rest, J., Smith, S. R., Parsa, R. A., & Bujisic, M. (2015). Restaurant failures and demographic factors. Cornell Hospitality Quarterly, 56(1).
• Parsa, H. G., Kreeger, J. C., van der Rest, J., Xie, L., & Lamb, J. (2021). Economic and GIS factors influencing restaurant failure. International Journal of Hospitality & Tourism Administration, 22(2).
• Yelp. (2022). Data Reveals How the Labor Shortage and Inflation are Impacting the Restaurant Industry. https://yelpeconomicaverage.com