The Case Study

Author(s):  
Yair Levy

This chapter provides details on the case study that was conducted in order to validate the research model and framework proposed in Chapter IV. Additionally, it seeks to validate the three tools proposed in Chapters V and VI. This chapter is guided by the seven research questions proposed in the previous three chapters and presents both the methodology used as well as the results of each section of this study. Straub (1989) suggested a three-phase method for valid and sound results of survey instruments in IS research. The first phase that he proposed included a qualitative technique of exploring the phenomena and developing a theoretical framework grounded in previous theories. The second phase includes quantitative empirical techniques in order to explore the proposed theory. The third and last phase includes conceptual refinements based on the findings in the previous phases. The methodology proposed in this study follows closely these three phases for the development of valid and sound instruments to assess the value and satisfaction of e-learning systems.

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Mi-Young Kim

Interactions between proteins and genes are considered essential in the description of biomolecular phenomena, and networks of interactions are applied in a system's biology approach. Recently, many studies have sought to extract information from biomolecular text using natural language processing technology. Previous studies have asserted that linguistic information is useful for improving the detection of gene interactions. In particular, syntactic relations among linguistic information are good for detecting gene interactions. However, previous systems give a reasonably good precision but poor recall. To improve recall without sacrificing precision, this paper proposes a three-phase method for detecting gene interactions based on syntactic relations. In the first phase, we retrieve syntactic encapsulation categories for each candidate agent and target. In the second phase, we construct a verb list that indicates the nature of the interaction between pairs of genes. In the last phase, we determine direction rules to detect which of two genes is the agent or target. Even without biomolecular knowledge, our method performs reasonably well using a small training dataset. While the first phase contributes to improve recall, the second and third phases contribute to improve precision. In the experimental results using ICML 05 Workshop on Learning Language in Logic (LLL05) data, our proposed method gave an F-measure of 67.2% for the test data, significantly outperforming previous methods. We also describe the contribution of each phase to the performance.


2020 ◽  
Author(s):  
◽  
Panagiotis Lepeniotis

This research aims to identify the useful impact of Master Data Management (MDM) on a Business Transformation Programme (BTP). A BTP consists of three distinct phases. The first phase is the selection of the appropriate set of application systems as well as the introduction of new business processes across multiple lines of business and different channels. The second phase is the implementation of the new application systems and the data migration process. The third and final phase is the transition from the legacy application systems and business processes to the newly defined framework of processes and technologies that ensure the business and data continuity. MDM encompasses a pivotal role during the second and the third phase of a BTP and is defined as the process that runs in parallel with any other business process; assigning responsibility to people and technology on processing, capturing, maintaining and defining data accuracy based on a defined set of rules. Multiple parameters relevant to MDM such as change management, no practical commitment from senior management, no compliance with any data governance policies, implementing new integrations or any pre-existing data quality challenges along with multiple others, can jeopardise the successful completion of a BTP. As MDM becomes significant in the second phase, the research focuses on how the invasive circumstances arising from such parameters during this BTP phase and beyond may be addressed by the BTP’s programme directorate to enhance decision-making through the appropriate impact on MDM. The programme committee of a BTP would thus become aware of how to: a) manage master data, b) reinforce enterprise data quality and c) govern the overall BTP lifecycle by safeguarding data practices. Alongside an extensive learned literature review and industry resources to establish the research aims from the outset, the research appropriated a deductive and interpretive research methodology to two Data audits as case studies plus a series of semi-structured interviews and subjected to a comprehensive qualitative analysis. Each BTP either faced challenges or was about to face challenges. The different roles of the participants and the different phases of each BTP in which the audits took place allowed the research to employ these multiple methods to reflect different aspects of the same issue. Referring to the Data Audit Framework for added structure, the two data audits took place in two different companies. The first company was performing the audit after a failed BTP, and they had already an MDM function within the organisation. The audit focused on the performance of its already existing function. The second company had initiated a BTP and wanted to ensure that the required controls were in place for a successful delivery. These two audits provided valuable case study evidence for the evaluation of the decisions made during the BTP with regards to a) master data, b) what led the programme directorate to these decisions and c) how the decisions affected the outcome of the BTP as well as the organisation itself. The interviews consisted of twenty-eight semi-structured questions and involved eighteen people with diverse backgrounds and from divergent functions of the business. All the interviewees were participating in a BTP with an underlying MDM process. The interviews provided evidence on a) how different roles within the programme reflect and react under specific circumstances and b) how each workstream prioritised data-related activities in conjunction with the overall programme. From the case study audits and the interviews, the research identified an enhanced understanding of the reasons behind the decisions during a BTP concerning MDM, and how these decisions consequently affect the successful implementation of a BTP. From these findings, the research proposes a novel MDM-impacted BTP decision model that brings together its contributions to knowledge, and the basis for future work.


2020 ◽  
Vol 76 (03) ◽  
pp. 6366-2020
Author(s):  
KATARZYNA CZEPIEL-MIL ◽  
ROBERT STRYJECKI ◽  
PIOTR LISTOS ◽  
DANUTA KOWALCZYK-PECKA ◽  
KAMIL WYDRA ◽  
...  

Forensic entomology frequently assists forensic medicine in legal investigations. It makes it possible to estimate the time of death when a cadaver is recovered at a relatively advanced stage of decomposition. In criminalistics practice, unburied bodies are found the most commonly, and therefore the fauna of these cadavers is the best investigated. The aim of this study was to collect a succession of insects and other invertebrates occurring on an unburied corpse. The experiment was conducted on the carcass of a cat euthanized due to an advanced cancer process. The carcass was colonized by three phyla of animals: Annelidae, Mollusca, and Arthropoda. They belonged to 7 classes and 10 orders. The most diverse were Arthropoda. They were classified into 5 classes: Insecta, Diplopoda, Malacostraca, Entognata, and Arachnida, and into 8 orders: Julida, Isopoda, Collembola, Diptera, Coleoptera, Hemiptera, Araneae, and Acari. The fly species Calliphora vicina from the family Calliphoridae is of particular interest among the insects collected because it is one of the fundamental indicator species whose life cycle makes it possible to determine an approximate time of death. During the study it was noted that arthropods occurred in a certain pattern of succession, predictable in forensic entomology. The first group was Calliphora vicina (Calliphoridae, Diptera), which laid eggs. The next (second) group consisted of first-instar C. vicina larvae and insects feeding on these larvae, such as Philonthus tenuicornis (Staphylinidae, Coleoptera). The first stage of succession was the appearance of eggs of C. vicina. The second phase was the appearance of adult flies other than Calliphoridae and of accidental species, as well as beetles (e.g. Philonthus tenuicornis, Staphylinidae, Coleoptera) feeding on larvae of C. vicina. The third phase of succession was the appearance of all larvae stages of C. vicina that continued and finished their life cycle.


2019 ◽  
Vol 9 (3) ◽  
pp. 15
Author(s):  
Guorong Lu ◽  
Zhehui Zhang

Thomas Hardy’s Jude the Obscure got the most attention of the critical world in the nineteenth century of Britain. The theme was always regarded as the embodiment of original sin, pessimism and voluntarism. However, when the theme is analyzed again, it will be found something totally different. Hence, three-phase patterns are to be singled out for a case study in order to shed light upon some facts and conclusions. The first stage is the expression of optimism from the perspective of symbolism; the second stage is the representation of conflict between character and environment in light of Darwinism; the third stage is the exploration of rationality from the viewpoints of religion and feminism. What can be learned is that the story is meant to show readers the kindness tendency, the courage to face the harsh reality and a sense of rationality.


2020 ◽  
Vol 8 (1) ◽  
pp. 18-24
Author(s):  
Angela Wyda Setiyani ◽  
Joko Sukoyo ◽  
Hardyanto Hardyanto

Students of Grade III of Elementary school began to be taught Javanese script. The student has some problems when studying Javanese script that is difficult to distinguish and the use of media of learning of Javanese script is limited. Based on these problems found the idea of developing the media of Pansus Raja for the learning of third-grade students of Elementary School in Semarang regency. The problems in this research are: (1) how the needs of teachers and students of the third grade of Elementary school in Semarang regency to Pansus Raja, (2) how to develop the media of Pansus Raja, and (3) how to validate expert lecturers. The method used in this research is Research and Development (RnD) using a data analysis technique that is descriptive qualitative technique. After Pansus Raja was created, then tested to the expert lecturers. The revitalized Pansus Raja tried out to Elementary School. The result of the trial is the media Pansus Raja proved to increase students' understanding of Javanese script.  


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Rong-Chang Chen ◽  
Shu-Ping Suen

To operate a successful and growing business, a retail store manager has to make tough decisions about selectively closing underperforming stores. In this paper, we propose using a three-phase multiobjective mechanism to help retail industry practitioners determine which stores to close. In the first phase, a geographic information system (GIS) andk-means clustering algorithm are used to divide all the stores into clusters. In the second phase, stores can be strategically selected according to the requirements of the company and the attributes of the stores. In the third phase, a neighborhood-based multiobjective genetic algorithm (NBMOGA) is utilized to determine which stores to close. To examine the effectiveness of the proposed three-phase mechanism, a variety of experiments are performed, based partly on a real dataset from a stock-list company in Taiwan. Results from the experiments show that the proposed three-phase mechanism can help efficiently decide which store locations to close. In addition, the neighborhood radius has a considerable influence on the results.


2017 ◽  
Vol 21 (3) ◽  
pp. 1
Author(s):  
Sandra Vega-Carrero ◽  
Manuel Pulido ◽  
Nancy Esther Ruiz-Gallego

 This article presents the results of a research study conducted with college students at a University in Colombia that offers an online program of English as a Foreign Language. The goal of this study was to understand the students’ perceptions. It mainly responded to the following research questions: Why do these students participate in an EFL online program? What are their perspectives about the methodology used in the virtual environment to learn a second language? What are their perspectives about the environmental factors involved in the learning process? And how are technical factors influencing the online learning process? This study used a qualitative research method. A questionnaire-based survey method was used for data collection. The population participating in this research was selected randomly, and the participants were promised anonymity prior to the completion of the questionnaire. It was found that online students master technology while learning in a virtual environment. In addition, students perceived that, with the activities promoted in the e-learning environments, they increased their vocabulary skills. Also their grammar and reading skills tended to improve considerably. However, students perceived that the interaction between them and their instructors should increase, so they would have the possibility of answering their questions and strengthening their speaking and writing skills.


Author(s):  
Marcelo Maina

This chapter presents a research that adopted the Design and Development Research (DDR) approach for the development and validation of a theoretically-grounded and pedagogically-inclusive instructional design method aimed at the creation of reusable and interoperable pedagogical scenarios. The first phase grounds the research in a theory of instructional design that aligns with other related design disciplines, and decomposes the design problem into layers of artifact functionalities. This theory corresponds to software-engineering-infused instructional design methods also known as courseware engineering. The second phase explores ways to integrate an educational modeling language within an instructional design method for enabling the representation of pedagogical scenarios of computational facture. The third phase presents an initial developmental solution, which is tested in a case study. The fourth and final phase extends the development and validation of a solution by way of a two-round Delphi method. Each phase is followed by reflections on the lessons learned during the DDR process.


Author(s):  
Daniel Tiong Hok Tan ◽  
Chye Seng Lee ◽  
Wee Sen Goh

In a short span of three years, the Nanyang Technological University (NTU) in Singapore witnessed significant growth in the adoption of e-learning. With the use of professors-friendly e-learning applications, NTU has been able to achieve critical mass buy-in by the academic staff when the e-learning take-up rate achieved 85% of the existing NTU course curriculum. As NTU moves on to celebrate the third year of e-learning, measures were taken with the careful design considerations that aimed to “humanize” e-learning, (i.e., make e-learning interactive and engaging with active collaborations and student learning involvement). This includes the proliferation in the use of the video talking head format synchronized with the lecture presentation, live audio-video delivery, text chat and document annotations of a lecture presentation and delivery. This chapter reviews the processes NTU adopted in adding the human touch to traditional e-learning projects and serves as a good case study for other institutions with a similar aim to achieve interactive and engaged online learning.


Author(s):  
Enrique De La Hoz ◽  
Rohemi Zuluaga ◽  
Adel Mendoza

This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained and validated to forecast the categories of academic efficiency. The study population corresponds to 256 university engineering programs in Colombia and the data correspond to the national examination of the quality of education in Colombia in 2018. In the results, two university profiles were identified with efficiency levels of 92.3% and 97.3%, respectively. The Random Forest model presents an Area under ROC value of 95.8% in the prediction of the efficiency profiles. The proposed structure evaluates and predicts university programs’ academic efficiency, evaluating the efficiency between institutions with similar characteristics, avoiding a negative bias toward those institutions that host students with low educational levels.


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