Customer relationship management: A content analysis of issues and best practices

This dissertation is a study of customer relationship management theory and practice. Customer Relationship Management (CRM) is a business strategy whereby companies build strong relationships with existing and prospective customers with the goal of increasing organizational profitability. It is also a learning process involving managing change in processes, people, and technology. CRM implementation and its ramifications are also not completely understood as evidenced by the high number of failures in CRM implementation in organizations and the resulting disappointments. ^ The goal of this dissertation is to study emerging issues and trends in CRM, including the effect of computer software and the accompanying new management processes on organizations, and the dynamics of the alignment of marketing, sales and services, and all other functions responsible for delivering customers a satisfying experience. ^ In order to understand CRM better a content analysis of more than a hundred articles and documents from academic and industry sources was undertaken using a new methodological twist to the traditional method. An Internet domain name (http://crm.fiu.edu) was created for the purpose of this research by uploading an initial one hundred plus abstracts of articles and documents onto it to form a knowledge database. Once the database was formed a search engine was developed to enable the search of abstracts using relevant CRM keywords to reveal emergent dominant CRM topics. The ultimate aim of this website is to serve as an information hub for CRM research, as well as a search engine where interested parties can enter CRM-relevant keywords or phrases to access abstracts, as well as submit abstracts to enrich the knowledge hub. ^ Research questions were investigated and answered by content analyzing the interpretation and discussion of dominant CRM topics and then amalgamating the findings. This was supported by comparisons within and across individual, paired, and sets-of-three occurrences of CRM keywords in the article abstracts. ^ Results show that there is a lack of holistic thinking and discussion of CRM in both academics and industry which is required to understand how the people, process, and technology in CRM impact each other to affect successful implementation. Industry has to get their heads around CRM and holistically understand how these important dimensions affect each other. Only then will organizational learning occur, and overtime result in superior processes leading to strong profitable customer relationships and a hard to imitate competitive advantage. ^

The effects of content-based ESOL instruction on the overall English proficiency of foreign -born college students

This study investigates the effects of content-based ESOL instruction on the overall English proficiency of foreign-born college students. Based on various psychological and social factors which affect second language acquisition, it is suggested that the techniques of content-based instruction, while focusing on subject matter, allow the learners to overcome the language barrier by neutralizing their subconscious defense mechanism, thus attaining greater proficiency.^ Two groups of Miami-Dade Community College ESOL students were chosen as subjects for this study: a control group composed of students from the North and Wolfson campuses, where the ESOL program is based predominantly on structural or structural-functional approach, and an experimental group of Medical Center campus students, where content-based instruction is incorporated into curriculum. Ethnicity, gender, age, and other differences in the population are discussed in the study.^ The students' English Placement Test (EPT) scores were used as covariate, and the scores on Multiple Assessment Programs and Services (MAPS) test as dependent variables. Multivariate analysis of variance (MANOVA) was applied to test significant difference between the means. The results of the analysis of data indicate that there is a consistent difference in the mean performance of the Medical Center campus ESOL students demonstrated by their scores on MAPS. Although neither ethnicity, nor gender of the subjects has affected the outcome, age had a contributing effect. The implications of these findings suggest that content-based instruction facilitates greater overall English proficiency in foreign-born college students. ^

The effectiveness of female -sensitive substance abuse treatment

This research investigated whether female-sensitive treatment was more effective than a traditional mixed-gender modal. The study participants were evaluated for levels of depression, self-esteem, social support, and presence and severity of addiction. Analyses were conducted to see which demographic, treatment, and service variables were associated with treatment survival rates. It was found that the chemical dependent treatments evaluated all produced equally ineffective results. The women surveyed did have significantly high levels of depression and presence and severity of addiction, yet moderate levels of self-esteem and social support. A mixed-gender chemical dependency model which provided mental health services focusing on depression was recommended. Ancillary services which provided self-esteem building and social support was also suggested. ^

Toward understanding the study experience of culturally sensitive graduate students in *American distance education programs

The purpose of this research was to gain an understanding of the study experience of non-American graduate students living outside of the United States and formally engaged in graduate studies in an American Distance Education (DE) Program. These students have been labeled “culturally sensitive.” The nature of this study dictated a qualitative case study methodology using in-depth interviews to collect the data and the hermeneutic approach to understanding and description. This study aims at generating questions and hypotheses that will lead to further investigations that explore the need for cultural and contextual sensitivity in order to provide more equitable and accessible higher education for all. ^ The study attempted to answer the question: What is the study experience of “culturally sensitive” graduate students in American DE Programs? The underlying issue in this study is whether education designed and provided by educators of different socio-cultural backgrounds from that of the students could be content relevant and instructionally appropriate, resulting in educational enhancement and/or prepare students to function adequately in their own communities. ^ Participants in this study (n = 12) were engaged in Master's level (n = 2) and Doctoral level (n = 10) DE programs at American Universities, and were interviewed by E-mail, face-to-face, or using a combination of the two. Data analysis compared interviews and highlighted repetitive patterns. Interview data was triangulated with recent related literature and data from document reviews of archived E-mail conversations between students and their professors. The patterns that emerged were coded and categorized according to generative themes. The following themes were identified in order to analyze the data and confirmed through participant check-back: program benefits, communication, technology, culture and methodology, and reflectivity. ^ Major findings in this study indicate that culture plays an important role in cross-cultural encounters for students in American DE programs vis-à-vis student perceptions as to whether their study needs were being met. Most notably, it was found that the coupling of cultural perceptual differences with transactional distance created a potential barrier to communication that could affect short-term success in American DE programs. To overcome this barrier, students cited good communication as essential in meeting student's needs, especially those communications that were supportive and full of detail and context and from a primary source (ex. directly from the professor). Evaluation was a particularly sensitive issue, especially when students were unaware of their professor's cultural and contextual intricacies and therefore were uncertain about expectations and intended meaning. CSGS were aware of their position and the American rather than global context in which they were participating. Students appear to have developed “extended identities”, meaning that they acculturated in varying degrees in order to be successful in their program but that their local cultural identity was not compromised in any way. For participants from Venezuela access to higher DE has been a limiting factor to participation, due to the high cost of technology and telephone lines for communication. ^

Delay-sensitive service request scheduling for cloud computing

Cloud computing realizes the long-held dream of converting computing capability into a type of utility. It has the potential to fundamentally change the landscape of the IT industry and our way of life. However, as cloud computing expanding substantially in both scale and scope, ensuring its sustainable growth is a critical problem. Service providers have long been suffering from high operational costs. Especially the costs associated with the skyrocketing power consumption of large data centers. In the meantime, while efficient power/energy utilization is indispensable for the sustainable growth of cloud computing, service providers must also satisfy a user's quality of service (QoS) requirements. This problem becomes even more challenging considering the increasingly stringent power/energy and QoS constraints, as well as other factors such as the highly dynamic, heterogeneous, and distributed nature of the computing infrastructures, etc. ^ In this dissertation, we study the problem of delay-sensitive cloud service scheduling for the sustainable development of cloud computing. We first focus our research on the development of scheduling methods for delay-sensitive cloud services on a single server with the goal of maximizing a service provider's profit. We then extend our study to scheduling cloud services in distributed environments. In particular, we develop a queue-based model and derive efficient request dispatching and processing decisions in a multi-electricity-market environment to improve the profits for service providers. We next study a problem of multi-tier service scheduling. By carefully assigning sub deadlines to the service tiers, our approach can significantly improve resource usage efficiencies with statistically guaranteed QoS. Finally, we study the power conscious resource provision problem for service requests with different QoS requirements. By properly sharing computing resources among different requests, our method statistically guarantees all QoS requirements with a minimized number of powered-on servers and thus the power consumptions. The significance of our research is that it is one part of the integrated effort from both industry and academia to ensure the sustainable growth of cloud computing as it continues to evolve and change our society profoundly.^

Delay-Sensitive Service Request Scheduling for Cloud Computing

Cloud computing realizes the long-held dream of converting computing capability into a type of utility. It has the potential to fundamentally change the landscape of the IT industry and our way of life. However, as cloud computing expanding substantially in both scale and scope, ensuring its sustainable growth is a critical problem. Service providers have long been suffering from high operational costs. Especially the costs associated with the skyrocketing power consumption of large data centers. In the meantime, while efficient power/energy utilization is indispensable for the sustainable growth of cloud computing, service providers must also satisfy a user's quality of service (QoS) requirements. This problem becomes even more challenging considering the increasingly stringent power/energy and QoS constraints, as well as other factors such as the highly dynamic, heterogeneous, and distributed nature of the computing infrastructures, etc. In this dissertation, we study the problem of delay-sensitive cloud service scheduling for the sustainable development of cloud computing. We first focus our research on the development of scheduling methods for delay-sensitive cloud services on a single server with the goal of maximizing a service provider's profit. We then extend our study to scheduling cloud services in distributed environments. In particular, we develop a queue-based model and derive efficient request dispatching and processing decisions in a multi-electricity-market environment to improve the profits for service providers. We next study a problem of multi-tier service scheduling. By carefully assigning sub deadlines to the service tiers, our approach can significantly improve resource usage efficiencies with statistically guaranteed QoS. Finally, we study the power conscious resource provision problem for service requests with different QoS requirements. By properly sharing computing resources among different requests, our method statistically guarantees all QoS requirements with a minimized number of powered-on servers and thus the power consumptions. The significance of our research is that it is one part of the integrated effort from both industry and academia to ensure the sustainable growth of cloud computing as it continues to evolve and change our society profoundly.