Marketing practices and their effectiveness in Taiwan's colleges of technology

The main purpose of this study was to investigate marketing practices in Taiwan's institutions of higher education and their relationship with students' college choice behaviors and attitudes. The study was conducted in 11 Taiwan's colleges of technology. It employed a multistrand conversion mixed model design, consisting of a qualitative and a quantitative strand. Funnel-sequenced interviews were conducted with 19 college administrators and the results were content analyzed using a constant-comparative method. The administrator interview data were also quantitized and used in cluster analysis of the institutions. Questionnaire data were collected from 1474 freshmen students, and analyzed using several univariate and multivariate statistical techniques including factor analysis, MANOVA, and correspondence analysis. ^ Analyses indicated that a weak relationship existed between institutions' marketing intensity and students' college choice. Students did not consider institutions' recruitment activities useful in their college searching process. They also reported little knowledge of their current school when they were deciding to enroll. Data analysis also revealed that students were practically oriented in their college selection. Academic resources, employability after graduation, and tuition were the most important attributes in students' college selection. Parents and students' social network such as friends and high school teachers were significant personal sources in enrollment decisions while institutions' representatives (i.e., recruiters) were considered the least influential. ^ Using cluster analysis, institutions were divided into three groups based on intensity of marketing efforts. Multivariate analysis of variance did not reveal significant differences between the college choice behaviors and attitudes of students who entered these three types of institutions. ^ Content analysis of the administrators' interviews indicated that the majority of them practiced passive marketing. This was primarily as a result of resistance to active marketing, lack of leadership commitment, insufficient financial and human resources, little faculty involvement, and inexperience in marketing. In comparison to public institutions, private institutions showed a more favorable attitude towards marketing concepts. They were well advanced in their recruitment activities while public schools were relatively hesitant to use marketing. Curriculum issues were not well represented in marketing activities and did not seem to be impacted by marketing needs. Based on the analysis of qualitative and quantitative data, it can be concluded that in these colleges, curriculum was more driven by commercial and industrial interest than by students' demands. ^ Theoretical, policy, and methodological implementation of the results were discussed. ^

The Foodservice Industry's Social Responsibility Regarding the Obesity Epidemic, Part II: Incorporating Strategic Corporate Social Responsibility into Foodservice Operations

Just as all types of business firms are now expected to go beyond their profit-oriented activities in boosting the well-being of the community, so, too, is corporate social responsibility (CSR) expected from foodservice firms. The significance of the obesity epidemic, combined with the foodservice industry's role in the development of this epidemic, suggests that the industry has an ethical responsibility to implement CSR activities that will help reduce obesity, particularly among children. CSR should be seen as an efficient management strategy through which a firm voluntarily integrates social and environmental concerns into its business operations and its interactions with stakeholders. Although costs are associated with CSR initiatives, benefits accrue to the firm. Decisions regarding alternative CSR activities should be based on a cost-benefit analysis and calculation of the present value of the revenue stream that can be identified as resulting from the specific CSR activities. CSR initiatives should be viewed as long-term investments that will enhance the firms’ value. Key areas for foodservice firms' CSR activities include marketing practices, particularly practices impacting advertising to children and marketing that will enhance the firms’ visibility; portion-size modification; new-product development; and consistent nutrition labeling on menus.

Adult Alternatives for Social Drinking: A Direction

In their survey/study - Adult Alternatives for Social Drinking: A Direction - by John Dienhart and Sandra Strick, Assistant Professors, Department of Restaurant, Hotel and Institutional Management, Purdue University, Dienhart and Strick begin with: “Changes in consumer habits have brought about a change in the business of selling alcoholic drinks and have impacted upon hotel food and beverage operations. The authors surveyed a sample of hotel corporate food and beverage directors to ascertain how they are handling this challenge.” Dienhart and Strick declare that the alcoholic beverage market, sale and consumption thereof, has taken a bit of a hit in contemporary society. “Even to the casual observer, it's obvious that the bar and beverage industry has undergone a great deal of change in the past few years,” say the authors. “Observations include a change in the types of drinks people are ordering, as well as a decrease in the number of drinks being sold,” they qualify. Dienhart and Strick allude to an increase in the federal excise tax, attacks from alcohol awareness groups, the diminished capacity of bars and restaurants to offer happy hours, increased liability insurance premiums as well as third-party liability issues, and people’s awareness of their own mortality as some of the reasons for the change. To quantify some empirical data on beverage consumption the Restaurant, Hotel, and Institutional Management Department of Purdue University conducted a study “… to determine if observed trends could be documented with hard data.” In regards to the subject, the study asks and answers a lot of interesting questions with the results presented to concerned followers via percentages. Typical of the results are: “When asked whether the corporation experienced a change in alcoholic sales in the past year, 67 percent reported a decrease in the amount of alcohol sold.” “Sixty-two percent of the respondents reported an increase in non-alcoholic sales over the past year. The average size of the increase was 8 percent. What Dienhart and Strick observe is that the decrease in alcoholic beverage consumption has resulted in a net increase for non-alcoholic beverage consumption. What are termed specialty drinks are gaining a foothold in the market, say the authors. “These include traditional cocktails made with alcohol-free products, as well as creative new juice based drinks, cream based drinks, carbonated beverages, and heated drinks,” say Dienhart and Strick by way of citation . Another result of the non-alcoholic consumption trend is the emergence of some novel marketing approaches by beer, wine, and spirits producers, including price increases on their alcohol based beverages as well as the introduction of faux alcoholic drinks like non-alcoholic beer and wine. Who or what is the big winner in all of this? That distinction might go to bottled water!

Mining the online social network data: Influence, summarization, and organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

Mining the Online Social Network Data: Influence, Summarization, and Organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.