Halina Mohamed Dahlan

Hierarchical cluster ensemble selection

Abstract Clustering ensemble performance is affected by two main factors: diversity and quality. Selection of a subset of available ensemble members based on diversity and quality often leads to a more accurate ensemble solution. However, there is not a certain relationship between diversity and quality in selection of subset of ensemble members. This paper proposes the Hierarchical Cluster Ensemble Selection (HCES) method and diversity measure to explore how diversity and quality affect final results. The HCES uses single-link, average-link, and complete link agglomerative clustering methods for the selection of ensemble members hierarchically. A pair-wise diversity measure from the recent literature and the proposed diversity measure are applied to these agglomerative clustering algorithms. Using the proposed diversity measure in HCES leads to more diverse ensemble members than that of pairwise diversity measure. Cluster-based Similarity Partition Algorithm (CSPA) and Hypergraph-Partitioning Algorithm (HGPA) were employed in HCES method for obtaining the full ensemble and cluster ensemble selection solution. To evaluate the performance of the HCES method, several experiments were conducted on several real data sets and the obtained results were compared to those of full ensembles. The results showed that the HCES method led to a more significant performance improvement compared with full ensembles.

Organizational Research in the Field of Green IT: A Systematic Literature Review from 2007 to 2016

The environmental effects of Information Technology (IT) and business sustainability have been a catalyst for the growth of Green IT. This growth has resulted in a considerable amount of attention from business practitioners, Information System (IS) researchers and politicians in the field. Many researchers from different academic backgrounds have attempted to investigate and understand the concepts of Green IT, from both the individual and the organizational perspectives. However, few attempts have been made to incorporate the findings of previous surveys and to assess the current state of research in this field. In this research, we conduct a literature review to examine Green IT research to gain a better understanding of the Green IT field between 2007 and 2016. We categorize the published papers and present some novel research opportunities and areas that need to be developed. To provide extensive quantitative and qualitative results, we follow a review protocol integrating two different stages (automatic and manual) and cover all of the studies from this period. Accordingly, from the review study, we identify 131 papers addressing Green IT that were reviewed to extract relevant information on a set of research questions. We observe that the current studies cover numerous research themes under Green IT research, particularly initiation, approaches and strategies, the adoption framework, and benefits, with other themes gaining scarce attention. By presenting research questions, we aid scholars in determining rigorous academic research directions for studying this phenomenon. The results of this study provide a roadmap to guide future studies on Green IT and highlight directions for the successful implementation of Green IT in organizations.

Mobile based learning: An integrated framework to support learning engagement through Augmented Reality environment

The innovation in e-learning technologies had generated the new platform; learning process through mobile environment. However, many of the concepts mobile based learning environments are currently lacking of engagement in creating the students attention because the low of interactively the learning content. So this article highlights the survey of mobile learning through new emerging technology, Augmented Reality (AR) and the concept of learning engagement through mobile based AR are explained to find the integration of two platforms. The adoption of mobile learning parameter is also identified to construct the mapping process mobile task learner in supporting the applying of AR through mobile with the parameter. Lastly, the integration of framework in supporting learning engagement based on Knowledge Visualization framework through AR is to propose an effective guideline in building the prototype to be used among students in generating the focus during learning process through AR environment.

Privacy policy preference (P3P) in e-commerce: Key for improvement

E-commerce is one of the mediums being used for online business via internet. Buying, selling and exchanging information are examples of activities conducted in e-commerce. In order to use e-commerce, some private information must be revealed by the customer. At this point, privacy policy plays the role in preventing unauthorized access to the users private information. This study will investigate the concept of a privacy policy and the role of a platform for privacy policy preference (P3P) in e-commerce. This paper suggest some key improvements that should be included in privacy policy statements based on P3P and end with suggestions for future work.

Reputation model for B2C e-commerce: A trust flow based on social networks

Trust and reputation systems enable customers to reliably assess the quality of services and reliability of entities. The aim of reputation system is to let parties rate each other and to help in deciding whether or not to transact with a given party in online environment. In current reputation systems, users have to trust unreliable information sources and anonymous people. There is a need to improve current reputation systems by allowing users to make decision in buying online based on reliable information sources. Therefore this paper proposes a trust flow through sharing of knowledge and experience in reputation systems by utilizing social networks. This can assist users to access trustworthy information sources by knowing the experience and feedback of their friends in the social networks. This approach will improve the motivation of users for buying online and make the experience more enjoyable.

Pre-adoption of KMS: User acceptance from knowledge worker perspectives

Non-technological problem has been identified as main barriers in knowledge management implementation. Culture and people have been identified as main barriers. Lack of understanding the benefit of using knowledge management system (KMS) makes people unaware about KMS. There are two types of knowledge workers which have different belief in KMS benefit. Benefit from the knowledge seekers perspective will be different with knowledge contributors. Current KMS acceptance model focus in evaluate and understand the user acceptance from knowledge seeker perspective. There is a lack of models that can be used to evaluate and understand user from both knowledge seeker and contributor perspective. Thus, this study proposes a modified model to understand both knowledge worker acceptances of KMS.

Multi-Criteria Decision Making for Group Decision Support System

Group Decision Support System (GDSS) is suitable if used in decision-related meeting as a medium for them to share ideas, extract and analyze the information, and making decision. However, making decision is more complex where multiple criteria, conflict, and judgment need to be considered, which referred to as Multi-Criteria Decision Making (MCDM). Therefore, a suitable technique is preferred to solve the multi-criteria problem in GDSS. Many authors have developed fuzzy AHP method in order to solve MCDM problem because of its ability to extend the strength of Analytical Hierarchy Process (AHP) with fuzzy set theory which able to consider vagueness and both quality and quantity factors. In spite of its strength and ability to solve MCDM problem, fuzzy AHP still contains mathematical calculations which is considered quite complicated for some people, and lack of voting opportunity for the decision makers. Thus, another method in MCDM is introduced here, which is the Social Choice (SC) method along with its ability to give opportunity of voting for the decision makers. In this study, the author will append the SC method in the last steps of fuzzy AHP decision making process in order to let the decision makers to directly involve in the most important part of decision making.

Suitability of Collaborative Learning activities in Web 2.0 environment

The limitation of current Web-based collaborative learning is the restricted ability of the students to create and contribute contents. The first generation of web (Web1.0) has made little improvement in collaborative learning (CL) and knowledge creation. More recently, a major change accrued in the way web technologies are being used in educational settings; there are new waves of applications that are transforming web technologies from Web 1.0(read) environment to Web 2.0(read/write) paradigm. This has great potential to improve CL. The main purpose of this study is to examine the suitability of Collaborative Learning (CL) activities in web 2.0 environment. A survey was conducted in order to investigate CL activities and Web 2.0 tools. Findings of the survey have led to proposing Web 2.0 CL model. The proposed model consists of three important components, namely users, resources and activities. Users can utilize these resources, and generate activities based on the resources.

Information Relevance Factors of Argument Quality for E-Commerce Consumer Review

With the rapid growth of E-Commerce recently, a review platform has been among the important tool in facilitating online decision making. Therefore, research scholars have put much effort in investigating various factors that may contribute to the enhancement of this tool. This study is interested in exploring the subjective characteristics of online reviews with the aim at improving the relevance filter of review content. This can be done through investigating the factors from information retrieval perspective which consider the relevance criteria for information searching in accepting text recommendation from consumer reviews. This study takes the opportunity since the problem that still rises in filtering the useful information features based on the judgment that, not every review exerts the same degree of applicability towards consumer needs. This work contributes to the literature by employing communication theory from ELM perspective to study the role of argument quality in understanding the behavior of information acceptance in E-Commerce consumer review platform. A research model is further proposed to visualize the research investigation.

Development and Validation of Instrument for Assessing Researcher’s Participation in e-Collaboration

The advancement of recent technology for conducting research helped researcher in many ways such as collaborate in real time, sharing knowledge, accessing unlimited resources of information and produce better research outcomes. However, the advantage of this technology can only be achieved if the researcher participates in e-collaboration. This paper discusses the instrument to examine researcher’s participation in e-collaboration. The framework for collaborative technologies was used to develop the instrument. This study was conducted by using a questionnaire survey method. The instrument then tested by using sample of 50 researchers from five research universities in Malaysia, which are UTM, UKM, UM, USM and UPM. The respondents who took part in the survey were lecturer, postgraduate student, research assistant and research fellow who had experience in using e-collaboration tool in conducting their research activities. Smart PLS software was used to evaluate the instrument validity and reliability, and the report shows that all instrument used are acceptable. The final instrument contains of 34 items measurement scales.