This work in progress examines the roles that Trust in Technology (TRIT) and Computer Self-efficacy (CSE) play in predicting post-adoptive usage behavior. Under the umbrella of social cognitive theory, it uses attribution theory and the trust literature to develop an integrative model of trust and self-efficacy. Specifically, we posit that TRIT impacts users’ CSE and that these beliefs lead to ...

Two multivariable problems of general interest are factor analysis and regression. This paper examines partial least squares (PLS) as a tool for both problems. For single output data sets, the familiar PLS algorithm is applicable to both problems. For multiple output problems the familiar PLS algorithm 1, 2, 3] (called fact-PLS in this paper) is appropriate for factor analysis. However fact-PLS...

زمینه و هدف: یکی از راهکارهای مناسب برای محافظت در برابر تأثیرات نامطلوب فشار اکسایشی ناشی تمرینات ورزشی طولانی‌مدت شدید، به‌کارگیری تدابیر تغذیه‌ای سالم استفاده مکمل‌های ضداکسایشی است. هدف این پژوهش بررسی اثر مصرف عصارة عناب طی دو نوع تمرین تناوبی استقامتی شدید بر شاخص‌های بافت کبد موش‌های صحرایی نابالغ نر بود.مواد روش‌ها: 72 سر موش نژاد ویستار با سن 22 روز میانگین وزنی 475/7 ± 64/60 گرم پس وز...

When students are dealing with online tutorial, there are challengers they must answer using any skill they have. The challenge and skill must be at the same ‘height’ in order for them to immerse with online tutorial activities. Several aspects will be considered as challenge and skill. One challenge under the scrutiny is the page length used to present course materials. The length of tutorial ...

شاخص سطح برگ استخراج‌شده (LAI) از تصاویر سنجش دور پارامتر مهمی، به‌منظور مدل‌سازی مکانی تولید پوشش گیاهی، محسوب می‌شود. معمولاً شاخص‌های گیاهی که با بازتاب طول موج‌های قرمز و مادون نزدیک محاسبه می‌شوند، در برآورد LAI استفاده روش‌های آماری، به‌کار می‌روند اما بسیاری این شاخص‌ها مقادیر متفاوت به اشباع می‌رسند. برای رفع محدودیت، محدودة لبة شده است؛ بنابراین، باید قابلیت داده‌های دور، ذرت علوفه‌ای، ...

Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and bagging approaches. In this paper the random forests approach is extended for variable selection with other learning models, in this case Partial Least Squares (PLS) and Kernel Partial Least Squares (K-PLS) to estimat...

The utilisation of social media in the workplace has attracted much speculation in the business community in relation to its risks and benefits. However, intra-organisational dimensions affecting such ustilisation are yet to be holistically considered. Grounded in the scholarly literature, a survey questionnaire was operationalized and empirical data collected and analysed using PLS. The result...

The PLS B algorithm is used as a tool to investigate the relationships among several data sets. The ,rst step of this algorithm entails an iterative procedure the convergence of which is not proved. In this paper, an alternative procedure is discussed. It achieves the same purpose and its convergence is proven. c © 2003 Elsevier B.V. All rights reserved.

Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be...