Siti Salwa Salleh

Crowdsourcing: The Trend of Prior Studies

Crowdsourcing is view as major changes in current economy as it has revolutionary effects on organizations. Unlike previous outsourcing trends that practices closed inter-organizational relationships subject to the long-term legal contract, these new crowdsourcing practices take place in an open and virtual context, characterized with small and short-term deals. Crowdsourcing has been recognized as new industry that able to uplift the economy and bring significant benefits to business and people in general. Although the phenomenon of crowdsourcing is fairly new and still in a formative stage, the indications and predictions are optimistic. Under the recent Malaysian government initiatives called Digital Malaysia, various crowdsourcing efforts and programs have been introduced. This paper reports on the review of prior studies pertaining crowdsourcing from a general view.

A preliminary study for critical success factors of micro sourcing in Malaysia

Micro sourcing is the act of outsourcing small or micro task to the crowd. During recent years, commercial micro sourcing has become a successful business model. Micro sourcing initiative in Malaysia is still nascent. The implementation is targeted to B40 group; those with low income household. This study is attempted to identify the critical success factor of micro sourcing initiative on the industry level and to identify the weights of each critical success factors in order to determine the priority of each of them. Interview has been conducted with Micro sourcing to Generate Income for the B40 committee member. Analytic hierarchy process (AHP) was used to set critical success factors priority. Results show the reputation system, the ease of use of technology and provide training to the micro workers as the most imperative critical success factors related with success of micro sourcing in Malaysia. In the future, this study should involve the participation from stakeholders such as micro workers, platform owner and organizations.

A knowledge-based approach in video frame processing using Iterative Qualitative Data Analysis

The ability to acquire, identify and represent the knowledge that a human expert has about a particular domain is a powerful key method in the development of a knowledge-based computer system. This paper demonstrates a methodology for acquiring and analyzing data based on semi-structured interview responses conducted upon human experts. Human experts are asked to determine the acceptability of an image containing person(s) in a sequence of images. Different experts may have different judgments and collectively the image values or attributes from their subjective judgment may contribute to the main factors of consideration in determining the overall image acceptability. The aim of this paper is to identify the most appropriate image attributes used by human experts during an image selection task which is in line with our research objectives. We discuss the knowledge acquisition task by adopting the Iterative Qualitative Data Analysis (IQDA) approach and represent the knowledge into a set of filtering attributes.

Cyclic multi-tiers knowledge management model in RAINS

Much research on the rain harvesting has been undertaken by experts such as architects and engineers. The emphases are on the required materials, installation of appropriate equipments, techniques of capturing rain water and other issues that lead to the environmental studies. Computers are only for certain calculations or simulations using common software packages. The lack of comprehensive use on computerized system to assist the rain harvesting research and implementation has lead to this study. We propose a model for knowledge management methods in developing a comprehensive prototype software application, called RAINS that simulates appropriate knowledge on rain harvesting and acts as an intelligent decision tool. It begins with knowledge acquisition, followed by knowledge manipulation and processing, and ends with knowledge delivery. The major strength of this model is on the idea of composing and blending different types of expert’s knowledge in a form of cyclic and multi-tiers structure. This model is not only for rain harvesting system development, but also applicable in other knowledge acquisition domains and cases.

Microsourcing Job Provider Maturity Model

Microsourcing is an emerging outsourcing practice by organization to an undefined (and generally large) network of people in a form of an open call. It is considered as a new entrepreneurial evolution in digital economy value creation. Because of the challenges and competition faces by organization nowadays, organization approved the need to provide services with higher added value and less cost. One way to achieve that is using microsourcing to accomplish tedious tasks at faster rate. However in Malaysia, the concept is fairly new and still in a formative stage. Due to that, organizations awareness, interest and willingness to participate in microsourcing initiatives need to be investigated and evaluated. This research is aim to produce the multiperspectives micro sourcing maturity integration model that able to assess the maturity level of organization to participate in microsourcing initiative. In this study, the characteristics of viable microsourcing maturity model and the significance factors contributing to implementation success have been identified. The analysis and results can be used as a road map to prepare an action plan for a successful microsourcing implementation in Malaysia.