“改革创新奋发有为”大讨论专题组织生活会个人发言提纲

P10

十九大精神研讨提纲

墨韵微香 QQ 群（315427511）十九大精神研讨提纲 - 1 - 牢记职责使命强化责任担当一、提高政治站位，牢记责任使命，守好党报宣传舆论阵地。二、紧密围绕中心服务大局，发挥党报传统优势，着力

2019-04-12 3331 0

P97

组织工作改革创新案例合集

.................................. - 13 - 新形势下加强和创新公立医院党建工作的思考 ............................. - 16 - 引进高层次人才的调研与思考

2019-10-29 5442 0

P31

XXX省直部门党总支副书记2016年度个人发言提纲

1．XXX省直部门党总支副书记2016年度个人发言提纲……………………1 二、市委市政府 2．XXX市委书记“三严三实”个人发言提纲………………………………6 3．XXX市委书记2016年度个人发言提纲……………………………………12

2019-03-18 3282 0

P101

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全省“改革创新、奋发有为”大讨论 专题组织生活会示范党支部资料汇编山西太钢能源动力总厂主机作业区党支部 2019 年 3 月 2 目录会前准备支部专题组织生活会和民主评议党员工作计划……………03

2019-04-25 2858 0

P52

2013IS实证研究方法的讨论 DISCOVERING UNOBSERVED HETEROGENEITY

Assuming that data in empirical studies are homogeneous andrepresent a single population is often unrealistic in the socialand behavioral sciences, such as information systems, management,and marketing (Rust and Verhoef 2005; Wedel andKamakura 2000). There may be significant heterogeneity inthe data across unobserved groups, and it can bias parameterestimates, lead to Type I and Type II errors, and result ininvalid conclusions (Jedidi et al. 1997). Consider the followingtechnology acceptance model (TAM) example: Aresearcher is interested in individuals’ intention to use an ITsystem or service (Davis et al. 1989; Venkatesh 2000;Venkatesh and Davis 2000; Venkatesh et al. 2003). Informedby existing theory, the researcher proposes a model in whichperceived usefulness (PU) and perceived ease of use (PEOU)of the IT system explain intention to use the system (IU)(Figure 1). The empirical results reveal that PU and PEOUare equally important in explaining IU. However, the theoryand model overlook the two underlying groups: experiencedIT users (Figure 1a, segment 1) and inexperienced IT users(Figure 1a, segment 2). Experienced users show a strongpositive relationship between PU and IU and a weak, or nonsignificant,relationship between PEOU and IU. In contrast,inexperienced users show a strong positive relationshipbetween PEOU and IU and a weak, or nonsignificant, relationshipbetween PU and IU (Figure 1a). In this scenario,drawing inferences based on results from the overall samplewould lead to Type I errors as we would be overgeneralizingthe significant findings from the overall sample to theunderlying user groups, one with a nonsignificant estimate forPEOUIU and the other with a nonsignificant estimate forPUIU. If the model is not refined to accommodate thisunobserved heterogeneity, a system that is unsuitable foreither user group (i.e., one with average usefulness andaverage ease of use) may be provided to all users.

2018-10-13 2147 0