Eiszler, C.F. (2002). College students' evaluations of teaching and grade inflation. Research in Higher Education, 43(4), 483-501. This study examined the relationship between grades and students’ composite ratings of teaching effectiveness over a 20-year period at a comprehensive, public university in the upper Midwest. Between the spring of 1980 and the fall of 1999, students in more than 37,...

The body of information in this paper is directed to specialists in industrial health and safety, and air and water pollution, who need quantitative data on the odor thresholds of potentially hazardous chemical vapors and gases. The literature, largely unorganized, has been reviewed for 214 compounds and condensed into tables based on consistent units. Data on the volatility, solubility, ioniza...

data mining techniques have been used widely in the area of customer relationship management (crm). in this study, we have applied data mining techniques to address a problem in business-to-business (b2b) setting. in a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. segmentation is a useful tool for identifying groups...

This study aimed to develop a conceptual model by identifying the pattern of development performance Asnaf Micro-Entrepreneurs (AME) through values business digitalization as its factors. The aims fill research gap providing insights into challenges and opportunities faced AME in adopting digital technologies impact such adoption on their businesses, also filled businesses. followed standard PL...

Although the constituents of information systems (IS) success and their relationships have been well documented in the business value of information technology (IT) and strategic IS literature, our understanding of how information-sharing values affect the relationships among IS success dimensions is limited. In response, we conduct a quantitative study of 146 medium and large firms that have i...

In this paper, we sketch a data-centric approach to avoid deadlocks of a business process. If dependencies between data values are neglected or modelled incorrectly, this can lead to errors in the control flow of the business process. We address the problem of detecting deadlocks which are caused by the improper handling of data. We show by example, how these deadlocks can be detected by means ...

the term business intelligence (bi) can refer to various computerized methods and processes of turning data into information and then into knowledge, which is eventually used to enhance organizational decision making. in the last decade, business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizati...

In this paper, we describe an extension of the datamining framework with automated causal diagnosis, offering the possibility to automatically detect and explain exceptional values to support business decision tasks. This functionality can be built into the conventional OLAP (On-Line Analytical Processing) or datamining system using a generic explanation formalism, which mimics the work of busi...