Access to this document was granted through an Emerald subscription provided by emerald-srm: 463575 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. Abstract:Purpose-Present research investigates motivations of team members to source knowledge and how the sourced knowledge increases their reuse and creation outcomes.Methodology-A model based on knowledge sourcing perspective is proposed and tested to link knowledge sourcing methods in teams to their performance outcomes. The hypotheses are tested on data collected from a survey of 341 project teams. (1) critical role of team members' learning orientation in increasing knowledge sourcing, reuse, and creation; (2) group knowledge sourcing and repositories are more appropriate to increase knowledge reuse; (3) Internet is more effective to increase knowledge creation; and (4) knowledge reuse increases knowledge creation among team members with a strong learning orientation. Findings-Findings showResearch limitations/implications-Further studies can replicate our model and introduce group characteristics to improve its explanatory power. Also, use of self-reported measures in data collection may lead to biases, future research should collate different measures longitudinally or use separate primary and secondary observations.Practical implications-Team leaders should enhance team effectiveness by ensuring diversity of knowledge and skills. Current research emphasizes that team leaders can integrate a crowdsourcing or 'users as co-creators' approach to increase knowledge creation by team members. Team members' learning orientation can be increased by promoting a climate that encourages open discussion of problems, mistakes, and errors.Originality/value-Our research highlights that knowledge sourcing methods produce different performance outcomes regarding knowledge reuse and creation. These insights can be useful to team leaders and researchers in order to better understand what motivations team members to source knowledge and how it increases their reuse and creation outcomes.

With an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University. This research aims to analyze the retina through vessel detection. The RIA assists in the analysis of the retinal images and specialists are served with various options like saving, processing and analyzing retinal images through its advanced interface layout. Additionally, RIA assists in the selection process of vessel segment; processing these vessels by calculating its diameter, standard deviation, length, and displaying detected vessel on the retina. The Agile Unified Process is adopted as the methodology in developing this research. To conclude, Retina Image Analysis might help the optometrist to get better understanding in analyzing the patient's retina. Finally, the Retina Image Analysis procedure is developed using MATLAB (R2011b). Promising results are attained that are comparable in the state of art.

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Purpose-E-learning Environments and Services (ELES) adoption and success rates challenge ELES designers, practitioners and organisations. Enterprise decision makers continue to seek effective instruments in launching such systems. This study aims to understand users' perceptions of ELES effectiveness and develops a theoretical framework which improves understanding of success factors for adoption. Design/Methodology/Approach-Grounded Theory Method (GTM) is used to reflect on the relationships between changing users' requirements and expectations, technological advances and ELES effectiveness models. A longitudinal study collecting data from social media blogs over four years was authenticated based on the context evaluation, language structure and conversational constructs. Findings-Identification of a new core dimension named "Concept Functionality" which can be used to understand the relationships between E-learning effectiveness factors, including the relationships with other domains such as security. The findings are also used to validate major existing models for the success of ELES. Practical Implications-The new framework potentially improves system design process in the fields of education technology, enterprise systems, etc. Originality/Value-Concept functionality dimension can offer more insights to understand ELES effectiveness and further improve system design process in a variety of domains including enterprise systems, process modelling and education technology.

Starch‐based adsorbents have demonstrated excellent potential for the removal of various noxious dyes from wastewater. This review critically evaluates the recent progress in applications of starch‐based adsorbents for the removal of dyes from water. The synthesis methods of starch‐based composites and their effects on physicochemical characteristics of produced adsorbents are discussed. The removal of various dyes by starch‐based adsorbents are described in detail, with emphasis on the effect of key parameters, adsorption mechanism and their reusability potential. The key challenges related to the synthesis and applications of starch‐based adsorbents in water purification are highlighted. Based on the research gaps, recommendations for future research are made. The evaluation of starch‐based adsorbents would contribute to the development of sustainable water treatment options in near future.

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