{"id":8637,"date":"2021-11-19T10:06:14","date_gmt":"2021-11-19T15:06:14","guid":{"rendered":"https:\/\/www.bu.edu\/bhr\/?p=8637"},"modified":"2021-11-29T14:40:07","modified_gmt":"2021-11-29T19:40:07","slug":"using-analytics-to-identify-how-restaurant-ceo-overconfidence-affects-performance","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/bhr\/2021\/11\/19\/using-analytics-to-identify-how-restaurant-ceo-overconfidence-affects-performance\/","title":{"rendered":"Using Analytics to Identify How Restaurant CEO Overconfidence Affects Performance"},"content":{"rendered":"<figure id=\"attachment8639\" aria-describedby=\"caption-attachment8639\" style=\"width: 1093px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" src=\"\/bhr\/files\/2021\/11\/BHR-Posts-1024-x-597-4-636x371.png\" alt=\"\" width=\"1083\" height=\"632\" class=\"wp-image-8639\" srcset=\"https:\/\/www.bu.edu\/bhr\/files\/2021\/11\/BHR-Posts-1024-x-597-4-636x371.png 636w, https:\/\/www.bu.edu\/bhr\/files\/2021\/11\/BHR-Posts-1024-x-597-4-768x448.png 768w, https:\/\/www.bu.edu\/bhr\/files\/2021\/11\/BHR-Posts-1024-x-597-4.png 1024w\" sizes=\"(max-width: 1083px) 100vw, 1083px\" \/><figcaption id=\"caption-attachment8639\" class=\"wp-caption-text\">By <a href=\"https:\/\/www.shutterstock.com\/g\/ESB+Professional\">ESB Professional<\/a> on Shutterstock<\/figcaption><\/figure>\n<hr \/>\n<p><strong>By:<\/strong> <span style=\"font-weight: 400;\"><a href=\"https:\/\/www.bu.edu\/bhr\/profile\/hong-soon-kim\/\"><span style=\"color: #cc0000;\">Hong Soon Kim, Ph.D.<\/span><\/a>,\u00a0<\/span><span style=\"font-weight: 400;\">Assistant Professor, School of Hospitality and Tourism Management, Purdue University<\/span><\/p>\n<h2><b>Introduction<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">In the world of big data, data analysis has become extremely important in capturing meaningful insights from a tsunami of information. This is no exception in the hospitality world where plenty of interesting data can be retrieved through various operation reports created within businesses. From annual filings such as 10-K reports, to social media or customer reviews on websites, each business produces more than a sufficient amount of information every day that could help industry experts identify interesting insights about their customers, better understand the nature of the hospitality operation, and ultimately help businesses achieve success.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In a similar manner, business analytics has become one of the core tools among corporate\/operation researchers in the field of hospitality management. I\u2019d like to introduce one of my past studies that used business analytics to explain how CEO attributes lead to firm-level performance. This paper was published in the Cornell Hospitality Quarterly in 2021.\u00a0<\/span><\/p>\n<h2><b>Impact of Overconfident CEOs on Restaurant Performance (Kim &amp; Jang, 2021)<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Overconfident individuals believe their knowledge, skills, and capabilities are better than they are (March &amp; Shapira, 1987; Seo &amp; Sharma, 2014). Therefore, they overestimate expected returns while underestimating the possibility of failure (March &amp; Shapira, 1987). In this regard, highly confident CEOs are more likely to make aggressive investment decisions (Seo &amp; Sharma, 2014). This implies that overconfident CEOs would substantially contribute to firm-level growth more than non-overconfident CEOs in the restaurant industry where a greater market presence leads to achieving economy of scale. Meanwhile, the high risk-taking behavior of overconfident CEOs also suggests that they are detrimental to firm-level profitability as their hubris often leads to investing in less-than-optimal projects with a higher possibility of failure.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Meanwhile, restaurant firms widely expand their market presence through a system of franchising (Hsu &amp; Jang, 2009), since franchising enables franchisors to diffuse capital risk (Lafontaine &amp; Bhattacharyya, 1995). This suggests that any high-risk decision-making by overconfident CEOs and the consequent outcomes could substantially be mitigated by franchising.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The analytical part of this research explored how to measure CEO overconfidence. To briefly elaborate, I used the stock option-based measurement to estimate CEO overconfidence which assumes that overconfident CEOs overestimate a firm&#8217;s future performance and believe that the value of their stocks will continue to increase. Therefore, if a CEO is overconfident, he or she chooses to hold exercisable stock options longer after the vesting period despite the positive payoffs where the market price of exercisable stocks is at least 67% more than the exercise price (Malmendier &amp; Tate, 2005a, 2005b, 2008).\u00a0<\/span><\/p>\n<p><b>Table 1<\/b><span style=\"font-weight: 400;\"> displays the descriptive statistics of the main variables. As shown in Table<\/span> <span style=\"font-weight: 400;\">1, there are less (ratio-wise) overconfident CEOs in the franchise restaurant firms than the non-franchise firms. This may suggest that franchise firms which have already achieved economies of scale prefer hiring CEOs who are risk-averse to maintain the stability of the operation. This is also evident in the fact that full-service restaurants have hired more overconfident CEOs than quick-service restaurants.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Table 1. Descriptive statistics<\/span><\/i><\/p>\n<p style=\"text-align: center;\"><b>Table 1.<\/b><span style=\"font-weight: 400;\"> Descriptive Statistics<\/span><\/p>\n<table width=\"762\" height=\"93\">\n<tbody>\n<tr>\n<td colspan=\"2\"><\/td>\n<td><span style=\"font-weight: 400;\">Overconfident CEO<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Non-overconfident CEO<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\"><span style=\"font-weight: 400;\">Non-franchise restaurants<\/span><\/td>\n<td><span style=\"font-weight: 400;\">9.0%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4.4%<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\"><span style=\"font-weight: 400;\">Franchise restaurants<\/span><\/td>\n<td><span style=\"font-weight: 400;\">32.1%\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">54.5%\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">In terms of empirical results, this study found that CEO overconfidence has a significant positive effect on firm growth, and franchising has a negative moderating effect on the relationship between CEO overconfidence and firm growth. This suggests that since franchising enables firms to expand their market presence with fewer assets compared to non-franchised restaurants, franchising negatively moderates the CEO overconfidence-growth relationship. It should be noted that firm asset size increases the most for non-franchised firms with overconfident CEOs, followed by franchise firms with overconfident CEOs, franchise restaurants with non-overconfident CEOs, and non-franchise firms with non-overconfident CEOs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, this study also found that CEO overconfidence has no significant effect on firm profitability. This result suggests that although overconfident CEOs may exploit more growth options, ultimately the effect of CEO overconfidence on profitability remains minimal. Meanwhile, the study also revealed that franchising has a positive moderating effect on the relationship between CEO overconfidence and firm profitability. This implies that because franchising improves profitability through economies of scale and stable franchising fee collection, franchising positively moderates the adverse effect of CEO overconfidence on firm profitability. This means that franchising could be utilized as a financial buffer to mitigate the profit-aggravating decision-making of overconfident CEOs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This study provides some crucial practical implications for the industry. First, this study found that CEO overconfidence significantly enhances firm growth but harms profitability in the restaurant industry. This suggests that CEOs\u2019 personal traits, such as overconfidence, are critically related to firm performance. Considering personal traits are not easily altered (Trevelyan, 2008), this result highlights the importance of corporate board\u2019s monitoring their CEOs. For instance, the board could control overconfident CEOs\u2019 adverse effects on firm profitability by linking their compensation to profitability indices rather than firm size. Second, the results of this study also showed that franchising positively moderates the adverse effect of CEO overconfidence on firm profitability. This result suggests that franchise restaurant firms are better situated than non-franchise firms in terms of maintaining profitability while pursuing firm growth through franchise expansion. In other words, franchising is a strategic tool that could mitigate the profitability-reducing risk associated with CEO overconfidence. This information will allow investors to better understand overconfident CEOs when deciding whether to hold or invest in restaurant stocks.\u00a0<\/span><\/p>\n<h2><b>Closing Remarks<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">It is a common misunderstanding that a strong mathematics and statistics background are required to perform appropriate business analytics. However, for hospitality management, statistics is a tool used to analyze data, which is only valid as long as it serves its purpose. What is more crucial for business analytics in today\u2019s hospitality environment is industry expertise that can develop hospitality-related ideas that require the application of analytical tools. For this reason, it is becoming increasingly more important that both academics and industry professionals collaborate to ensure the best for the future of the hospitality industry.\u00a0<\/span><\/p>\n<h3><b>Acknowledgments\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Special thanks to Dr. Mark Legg from Boston University School of Hospitality Administration for the helpful comments. Articles accepted by Assistant Professor Sean Jung.<\/span><\/p>\n<hr \/>\n<p><a href=\"\/bhr\/files\/2021\/11\/BHR_Kim_CEO-Overconfidence_DEC.21.docx-2.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">PDF Version Available Here<\/a><\/p>\n<hr \/>\n<p><span style=\"color: #000000;\"><div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">References<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Elango, B., &amp; Fried, V. H. (1997). Franchising research: A literature review and synthesis. <\/span><i><span style=\"font-weight: 400;\">Journal of Small Business Management<\/span><\/i><span style=\"font-weight: 400;\">, 35(3), 68-81.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hsu, L. T. J. &amp; Jang, S. (2009), \u201cEffects of restaurant franchising: Does an optimal franchise proportion exist?\u201d, <\/span><i><span style=\"font-weight: 400;\">International Journal of Hospitality Management<\/span><\/i><span style=\"font-weight: 400;\">, 28(2), 204-211.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Lafontaine, F. &amp; Bhattacharyya, S. (1995), \u201cThe role of risk in franchising\u201d, <\/span><i><span style=\"font-weight: 400;\">Journal of Corporate Finance<\/span><\/i><span style=\"font-weight: 400;\">, 2(1), 39-74.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Malmendier, U. &amp; Tate, G. (2005a), \u201cCEO optimism and corporate investment\u201d, <\/span><i><span style=\"font-weight: 400;\">Journal of Finance<\/span><\/i><span style=\"font-weight: 400;\">, 60(6), 2661-2700.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Malmendier, U. &amp; Tate, G. (2005b), \u201cDoes overconfidence affect corporate investment? CEO overconfidence measures revisited\u201d, <\/span><i><span style=\"font-weight: 400;\">European Financial Management<\/span><\/i><span style=\"font-weight: 400;\">, 11(5), 649-659.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Malmendier, U. &amp; Tate, G. (2008), \u201cWho makes acquisitions? CEO overconfidence and the market\u2019s reaction\u201d, <\/span><i><span style=\"font-weight: 400;\">Journal of Financial Economics<\/span><\/i><span style=\"font-weight: 400;\">, 89(1), 20-43.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">March, J. G. &amp; Shapira, Z. (1987), \u201cManagerial perspectives on risk and risk taking\u201d, <\/span><i><span style=\"font-weight: 400;\">Management Science<\/span><\/i><span style=\"font-weight: 400;\">, 33(11), 1404-1418.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Roh, Y. S. (2002), \u201cSize, growth rate and risk sharing as the determinants of propensity to franchise in chain restaurants\u201d, <\/span><i><span style=\"font-weight: 400;\">International Journal of Hospitality Management<\/span><\/i><span style=\"font-weight: 400;\">, 21(1), 43-56.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Seo, K. &amp; Sharma, A. (2014), \u201cCEO overconfidence and the effects of equity-based compensation on strategic risk-taking in the US restaurant industry\u201d, <\/span><i><span style=\"font-weight: 400;\">Journal of Hospitality &amp; Tourism Research<\/span><\/i><span style=\"font-weight: 400;\">, 1096348014561026.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Srinivasan, R. (2006). Dual distribution and intangible firm value: Franchising in restaurant chains. <\/span><i><span style=\"font-weight: 400;\">Journal of Marketing<\/span><\/i><span style=\"font-weight: 400;\">, 70(3), 120-135.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Trevelyan, R. (2008). Optimism, overconfidence and entrepreneurial activity<\/span><i><span style=\"font-weight: 400;\">. Management Decision<\/span><\/i><span style=\"font-weight: 400;\">, 46(7), 986-1001.<\/span><\/p>\n<p><\/div>\n<\/div>\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By: Hong Soon Kim, Ph.D.,\u00a0Assistant Professor, School of Hospitality and Tourism Management, Purdue University Introduction In the world of big data, data analysis has become extremely important in capturing meaningful insights from a tsunami of information. This is no exception in the hospitality world where plenty of interesting data can be retrieved through various operation [&hellip;]<\/p>\n","protected":false},"author":19793,"featured_media":8639,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[521,678,677,680],"tags":[510,679,681],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/posts\/8637"}],"collection":[{"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/users\/19793"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/comments?post=8637"}],"version-history":[{"count":18,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/posts\/8637\/revisions"}],"predecessor-version":[{"id":8788,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/posts\/8637\/revisions\/8788"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/media\/8639"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/media?parent=8637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/categories?post=8637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/bhr\/wp-json\/wp\/v2\/tags?post=8637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}