Purpose -The purpose of this study is to identify key motivations for adolescents using and shopping on the internet, and to segment the sample based on these motivations. Design/methodology/approach -This research occurs in two phases: a qualitative phase involving interviews with adolescents aged 12-15 and parents of adolescents in this age group; then, a quantitative phase using a survey (n ¼ 360) to measure the motivations and other key profiling variables identified in the qualitative phase and the literature review. Findings -The research identifies five basic motivations and two shopping motivations influencing adolescent online usage and shopping. Next, a cluster analysis is conducted using the motivations developed and is used to identify segments of adolescent internet users and shoppers, which are subsequently described.Research limitations/implications -The sample of adolescents was taken from a town in the southeast USA. Caution should be taken when generalizing to adolescents outside this region. Practical implications -This research identifies for internet marketers the different types of adolescent internet users and shoppers. It also recognizes key motivations that marketers should consider when targeting adolescents. Originality/value -This research is the first to identify important segments of adolescents based on their motivations for online usage and shopping, and builds on a limited stream of research relative to adolescents and internet shopping.
The guidelines of the Council on Environmental Quality for implementing the National Environmental Policy Act require that environmental statements be circulated to other agencies and publics for review and comment. Effects of the 'review and comment' (R&C) process spawned by this requirement are assessed in the context of water resources planning in the U.S. Army Corps of Engineers (Corps) and the Soil Conservation Service (SCS). The assessment, which relies on data from questionnaires administered to personnel in all Corps districts and SCS state offices in 1974, concerns the extent to which increased coordination and information transfer brought about by the R&C process have influenced decision making. Obstacles serving to impede the functioning of an effective R&C process are also noted. 1093
*Previous consumer research suggests that individuals who finance high-cost items tend to differ from those who lease the same items. Some differences are economic, such as income and wealth, while other dissimilarities involve non-economic issues such as personal preferences. We employ non-hierarchical cluster analysis to create consumer segments of motor vehicle lessees and financers based on motives for leasing versus financing and demographics. Five segments were uncovered. Lessees predominate in two categories: budget gourmets and automotive hedonists. Another two categories, utility seekers and basic transportation seekers, are mainly comprised of financers. The final group, mature luxury seekers, consists of a roughly equal mix of lessees and financers. Differences between the segments are addressed here, along with a discussion of findings and implications.
This paper investigates important factors associated with vacation decisions made for typical vacations by U.S. southern travelers, an area given minimal focus in the marketing tourism literature. The paper effectively identifies key vacation influences to leisure travel which include distance, group size, vacation length, lead time, education level, income level, and age. Additionally, the paper identifies nine unique types of southern vacation travelers using a cluster analysis approach. Ultimately, the paper offers a richer understanding of the pertinent factors influencing vacation decisions—particularly for individuals in the U.S. Southern region.
This paper investigates important relationships between college football performance and athletic department football revenues. The research draws from secondary data sources examining coaching experience, head coach salary, and recruiting performance as key antecedents to winning, and ultimately football revenues. The study also highlights the overriding influence of winning tradition on each stage of the proposed model. Further, the paper addresses the proposed performance-revenue model for both power 5 and non-power 5 football schools. The findings are different and revealing, and will help researchers and sport marketing professionals better understand the different football identities for these two football school categories. Ultimately, this paper highlights the importance of winning on athletic department football revenue generation for collegiate institutions across the country.
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