The study of self-efficacy and its impact on human performance has intrigued many scholars during the last two decades, for example, Clayson and Sheffet, 2006;Nauta, 2004; Muijsand Rejnolds 2001;Bandura, 1997 andSoodak andPodell, 1993

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The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

In many regions of the world, the task of flood forecasting is made difficult because only a limited database is available for generating a suitable forecast model. This paper demonstrates that in such cases parsimonious data-based hydrological models for flood forecasting can be developed if the special conditions of climate and topography are used to advantage. As an example, the middle reach of River Mekong in South East Asia is considered, where a database of discharges from seven gaging stations on the river and 31 rainfall stations on the subcatchments between gaging stations is available for model calibration. Special conditions existing for River Mekong are identified and used in developing first a network connecting all discharge gages and then models for forecasting discharge increments between gaging stations. Our final forecast model (Model 3) is a linear combination of two structurally different basic models: a model (Model 1) using linear regressions for forecasting discharge increments, and a model (Model 2) using rainfall-runoff models. Although the model based on linear regressions works reasonably well for short times, better results are obtained with rainfall-runoff modeling. However, forecast accuracy of Model 2 is limited by the quality of rainfall forecasts. For best results, both models are combined by taking weighted averages to form Model 3. Model quality is assessed by means of both persistence index PI and standard deviation of forecast error.

Evidence from well-established theories of various disciplines manifests that, in the current technology-led world, continued professional development (CPD) of information professionals plays a paramount role in the uplift of institutions. CPD of university library professionals via e-learning programs leads to the implementation of user-centric-services through the initiation of emerging technological tools and the latest methods of service-delivery. The focus of this study is to shed light on the factors influencing e-learning for CPD of working librarians, challenges being encountered for e-learning adoption, and to propose the best practices for designing an efficient e-learning portfolio. For meeting the focused study-objectives, the authors applied PRISMA guidelines and procedures. An extensive search was conducted utilizing the world’s 16 leading e-databases and digital tools containing the most relevant core studies. Consequently, 30 impact factor research papers published in renowned databases were included through the identification, screening, eligibility, and inclusion process. Findings revealed that different factors—including organizational survival, continuous changes, adoption of emerging technologies, and professional growth—encouraged e-learning for CPD of information professionals. The study results showed that four main challenges—technical difficulties, lack of funds, reliance upon conventional models, and overwhelming work-load—were encountered for e-learning adoption. The authors proposed a framework for the development of an effective and efficient e-learning portfolio for building professional expertise among university librarians to support the organizational vision and mission statement. The recommended framework is based upon emergent categories and sub-categories extracted via thematic analysis of the existing empirical studies. This study has theoretical insights for the researchers through valuable addition in the body of literature and practical considerations for policy implementers to construct sustainable policies for devising e-learning programs to develop professional expertise in the university library workforce for attainment of value-added outcomes.