5 resultados para market share

em Digital Commons at Florida International University


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By 1990 the quick sevice restaurant industry(QSR) achieved 54 percent of commercial food service market share. QSR has a significant role to play in the rapidly-growing global hospitality industry and is expanding into institutional food service to increase its market share. It is expected to be the dominant player in the U.S. food service industry. The authors include an analysis of current and emerging trends in this industry.

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Fresh food vending represents $1.5 billion in sales each year in the United States. The implications for a better understanding of fresh food vending are significant in terms of profitability and improved market share for vending operators. Of equal importance is a better understanding of the significance of the route driver on the overall fresh food vending operation. Developing a better understanding of this area of the food service industry will help vending operators increase profits and provide better product choices to consumers

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In his dialogue titled - Overcoming The Impotency Of Marketing - K. Michael Haywood, Assistant Professor, School of Hotel and Food Administration, University of Guelph, originally reveals: “Many accommodation businesses have discovered that their marketing activities are becoming increasingly impotent. To overcome this evolutionary stage in the life cycle of marketing, this article outlines six principles that will re-establish marketing's vitality.” “The opinion of general managers and senior marketing, financial, and food and beverage managers is that the marketing is not producing the results it once did and is not working as it should,” Haywood advises. Haywood points to price as the primary component hospitality managers use to favor/adjust their marketability. Although this is an effective tool, the practice can also erode profitability and margin he says. Haywood also points at recession as a major factor in exposing the failures of marketing plans. He adds that the hotel manager cannot afford to let this rationale go unchallenged; managers must take measures to mitigate circumstances that they might not have any control over. Managers must attempt to maintain profitability. “In many hotels, large corporate accounts or convention business generates a significant proportion of occupancy. Often these big buyers dictate their terms to the hotels, especially the price they are prepared to pay and the service they expect,” Haywood warns. This dynamic is just another significant pitfall that challenges marketing strategy. The savvy marketing technician must be aware of changes that occur in his or her marketplace, Haywood stresses. He offers three specific, real changes, which should be responded to. “To cope with the problems and uncertainties of the hotel business during the remainder of the decade, six components need to be developed if marketing impotency is to be overcome,” says Haywood in outlining his six-step approach to the problem. Additionally, forward thinking cannot be over-emphasized. “A high market share is helpful in general, but an even more crucial factor is careful consideration of the market sectors in which the company wants to operate,” your author advises. “Taking tactical initiatives is essential. Successful hotels act; unsuccessful ones react. The less successful marketing operations tend to be a hive of frantic activity. Fire-fighting is the normal way of life in such organizations, Haywood observes. “By contrast, successful firms plan and execute their tactical marketing activity with careful timing and precision so as to create the maximum impact,” he extends in describing his fruitful marketing arabesque.

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During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especially during these economically turbulent times. So, while enrollments have surged to the point where nearly one in three 18-to-24 year-old U.S. undergraduates are community college students (Pew Research Center, 2009), graduation rates, on average, still remain distressingly low (Complete College America, 2011). Among the learning-theory constructs related to seat-time reapportionment efforts is the cognitive phenomenon commonly referred to as the spacing effect, the degree to which learning is enhanced by a series of shorter, separated sessions as opposed to fewer, more massed episodes. This ex post facto study explored whether seat time in a postsecondary developmental-level algebra course is significantly related to: course success; course-enrollment persistence; and, longitudinally, the time to successfully complete a general-education-level mathematics course. Hierarchical logistic regression and discrete-time survival analysis were used to perform a multi-level, multivariable analysis of a student cohort (N = 3,284) enrolled at a large, multi-campus, urban community college. The subjects were retrospectively tracked over a 2-year longitudinal period. The study found that students in long seat-time classes tended to withdraw earlier and more often than did their peers in short seat-time classes (p < .05). Additionally, a model comprised of nine statistically significant covariates (all with p-values less than .01) was constructed. However, no longitudinal seat-time group differences were detected nor was there sufficient statistical evidence to conclude that seat time was predictive of developmental-level course success. A principal aim of this study was to demonstrate—to educational leaders, researchers, and institutional-research/business-intelligence professionals—the advantages and computational practicability of survival analysis, an underused but more powerful way to investigate changes in students over time.

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During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especially during these economically turbulent times. So, while enrollments have surged to the point where nearly one in three 18-to-24 year-old U.S. undergraduates are community college students (Pew Research Center, 2009), graduation rates, on average, still remain distressingly low (Complete College America, 2011). Among the learning-theory constructs related to seat-time reapportionment efforts is the cognitive phenomenon commonly referred to as the spacing effect, the degree to which learning is enhanced by a series of shorter, separated sessions as opposed to fewer, more massed episodes. This ex post facto study explored whether seat time in a postsecondary developmental-level algebra course is significantly related to: course success; course-enrollment persistence; and, longitudinally, the time to successfully complete a general-education-level mathematics course. Hierarchical logistic regression and discrete-time survival analysis were used to perform a multi-level, multivariable analysis of a student cohort (N = 3,284) enrolled at a large, multi-campus, urban community college. The subjects were retrospectively tracked over a 2-year longitudinal period. The study found that students in long seat-time classes tended to withdraw earlier and more often than did their peers in short seat-time classes (p < .05). Additionally, a model comprised of nine statistically significant covariates (all with p-values less than .01) was constructed. However, no longitudinal seat-time group differences were detected nor was there sufficient statistical evidence to conclude that seat time was predictive of developmental-level course success. A principal aim of this study was to demonstrate—to educational leaders, researchers, and institutional-research/business-intelligence professionals—the advantages and computational practicability of survival analysis, an underused but more powerful way to investigate changes in students over time.