Data Mining - Concepts and Techniques.

Arthur Chickering is Distinguished Professor of Higher Education at Memphis State University. On leave from the Directorship of the Center for the Study of Higher Education at Memphis State, he is Visiting Professor at George Mason University. Zelda Gamson is a sociologist who holds appointments at the John W. McCormack Institute of Public Affairs at the University of Massachusetts-Boston and in the Center for the Study of Higher and Postsecondary Education at the University of Michigan.

Seven Principles for Good Practice in Undergraduate Education: Faculty Inventory. Institutional Inventory.

Anonymization is a practical solution for preserving user’s privacy in data publishing. Data owners such as hospitals, banks, social network (SN) service providers, and insurance companies anonymize their user’s data before publishing it to protect the privacy of users whereas anonymous data remains useful for legitimate information consumers. Many anonymization models, algorithms, frameworks, and prototypes have been proposed/developed for privacy preserving data publishing (PPDP). These models/algorithms anonymize users’ data which is mainly in the form of tables or graphs depending upon the data owners. It is of paramount importance to provide good perspectives of the whole information privacy area involving both tabular and SN data, and recent anonymization researches. In this paper, we presents a comprehensive survey about SN (i.e., graphs) and relational (i.e., tabular) data anonymization techniques used in the PPDP. We systematically categorize the existing anonymization techniques into relational and structural anonymization, and present an up to date thorough review on existing anonymization techniques and metrics used for their evaluation. Our aim is to provide deeper insights about the PPDP problem involving both graphs and tabular data, possible attacks that can be launched on the sanitized published data, different actors involved in the anonymization scenario, and major differences in amount of private information contained in graphs and relational data, respectively. We present various representative anonymization methods that have been proposed to solve privacy problems in application-specific scenarios of the SNs. Furthermore, we highlight the user’s re-identification methods used by malevolent adversaries to re-identify people uniquely from the privacy preserved published data. Additionally, we discuss the challenges of anonymizing both graphs and tabular data, and elaborate promising research directions. To the best of our knowledge, this is the first work to systematically cover recent PPDP techniques involving both SN and relational data, and it provides a solid foundation for future studies in the PPDP field.

Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey

2014 2nd International Conference on Information and Communication Technology (ICoICT)

Franque, F. B., Oliveira, T., Tam, C., & Santini, F. D. O. (2021). A meta-analysis of the quantitative studies in continuance intention to use an information system. Internet Research, 31(1), 1-36. https://doi.org/10.1108/INTR-03-2019-0103

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A meta-analysis of the quantitative studies in continuance intention to use an information system

Scrum is considered as one of the solutions to overcome problems encountered in global software development (GSD). The skills of a Scrum team largely determine the successful implementation of Scrum in a GSD project. The present study aims to identify and rank the essential skills for Scrum GSD teams. First, we identified five hard skills and five soft skills by conducting a literature study and depth interviews with a software engineering expert. Second, these skills were arranged into a questionnaire, which was then distributed to thirty undergraduate students taking software engineering subjects. The students were considered as Scrum beginners in development teams. The questionnaire data were subsequently analyzed by ranking the importance of the skills. Next, the rankings were validated in a focus group discussion (FGD) with four practitioners, two academics, one policymaker, and one representative of a relevant professional association. All members of the FGD had at least five years of experience in Scrum GSD. In the following stage, frequency analysis was employed to achieve a consensus among the experts. After that, a round table discussion was conducted to confirm the consensus. The results show that programming is the most important hard skill, while interpersonal and communication are the most important soft skills. Database expertise and leadership were identified as the least important hard and soft skills, respectively. Furthermore, the rank of these skills by importance is aligned with the nature of Scrum and GSD. Our findings can be used as a foundation to construct competencies in Scrum GSD teams.

Hard and Soft Skills for Scrum Global Software Development Teams

The implementation of customer relationship management CRM is one of the most common strategies applied by companies to enhance customer relationship and highly related to technology. In fact, it is not easy to successfully implement this strategy because it requires a huge investment and is influenced by other critical factors. This research aims to synthesise critical success factors CSFs from CRM implementation using a systematic literature review approach to papers published in 2001-2014. According to the findings towards 53 relevant papers, technology selection and adaptation technological readiness are the most dominant factors. Furthermore, the synthesis finding also shows CSF research shifting to social media, and turns out as the difference between CRM and social CRM implementation.

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The critical success factors for customer relationship management implementation: a systematic literature review

Purpose: To analyze students’ social media preference in order to improve student engagement with university by examining social media implementation quality in terms of information and service quality. Design/methodology/approach: Research methodology is started with the hierarchy creation of student engagement with university which then translated into questionnaire. This questionnaire was distributed to 58 universities in Jakarta (Indonesia’s capital). The questionnaire result was analyzed with entropy and TOPSIS method. Findings: In social media implementation quality, information quality is more important than service quality because in social media, a good information quality is really relevant with the usefulness and comprehensiveness of the information. On the other hand regarding service quality, the system availability will help students in their interaction process with university, on top of the service’s efficiency and fulfillment. This directly impacts the cooperation between students, active learning process, and students’ expectation. The social medias students preferred to improve student engagement with universities respectively are LINE, Facebook, Twitter, Wiki, Blog, Instagram, YouTube, Path, LinkedIn, and Podcast. Research limitations/implications: Social media’s role is not only to create student engagement in the learning process, but also other aspects included by Chickering & Gamson (1987). Practical implications: The Social CRM channel shift from electronic into social media shows that social media holds an important role for university since it eases up the communication between university and the students. The good social media management has been an issue that needs to be solved by university by creating a unit or delegate a person that can manage the social media correctly and quickly so the students feel that they get the good service they want. Originality/value: The other researches focus on observing social media influence to improve student engagement, but only in the context of learning process. This research observes social media roles in student engagement thoroughly according to the existing good practice. This research can also shows the order of social media that are seen important to create student engagement.

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Evaluation of Social Media Channel Preference for Student Engagement Improvement in Universities Using Entropy and Topsis Method

This study aimed to examine the influence of knowledge management system (KMS) quality on users’ continuance intention. The research model was developed by integrating the concept of DeLone and McLean’s information systems (IS) success model with the expectation confirmation model. To examine the developed model, a survey was conducted with 131 respondents from three companies that had implemented a KMS. The data were analyzed using the partial least square (PLS) method. The study demonstrated that both system quality and information/knowledge quality influence all the factors that drive the continuance intention regarding KMS usage, namely perceived usefulness, satisfaction, and trust. Moreover, satisfaction proved to have an impact on users’ recommendation intention concerning the KMS. Therefore, companies should improve the KMS quality in order to drive employees to continuously use the KMS and recommend it to others. https://doi.org/10.34105/j.kmel.2017.09.012

The impact of knowledge management system quality on the usage continuity and recommendation intention

Pesatnya persaingan bisnis rumah sakit dewasa ini, menuntut pihak manajemen rumah sakit untuk menerapkan suatu strategi yang tepat, demi mendukung proses bisnisnya, salah satunya ialah melalui manajemen hubungan pasien, dengan tujuan untuk menciptakan loyalitas pasien. Loyalitas diharapkan terlaksana mulai dari pasien mencari informasi hingga selesai mendapatkan layanan di rumah sakit. Kemungkinan penerapan Customer Relationship Management (CRM) menjadi sebuah alternatif solusi yang tepat guna terwujutnya loyalitas pasien. Makalah ini menjelaskan fitur – fitur dan Software Requirement Specification (SRS) dari CRM untuk rumah sakit yang disusun dengan melakukan penelitian observasi terhadap perilaku layanan pasien pada Departemen Obstetri & Ginekologi FKUI-RSCM. Kasus ini dipilih untuk mewakili suatu domain spesifik dimana CRM bisa diterapkan dan dimungkinkan dapat menghasilkan model CRM yang tepat untuk proses bisnis yang sama.

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Analisis fitur crm untuk meningkatkan kepuasan pasien - berbasis pada framework of dynamic crm studi kasus: departemen obstetri dan ginekologi fkui - rscm jakarta

Eko K. Budiardjo

Papers

Hard and Soft Skills for Scrum Global Software Development Teams

The critical success factors for customer relationship management implementation: a systematic literature review

Evaluation of Social Media Channel Preference for Student Engagement Improvement in Universities Using Entropy and Topsis Method

The impact of knowledge management system quality on the usage continuity and recommendation intention

Analisis fitur crm untuk meningkatkan kepuasan pasien - berbasis pada framework of dynamic crm studi kasus: departemen obstetri dan ginekologi fkui - rscm jakarta