ZHINING WANG
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From Knowledge Sharing to Firm Performance: A Predictive Model Comparison
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DOI number:10.1016/j.jbusres.2016.03.055

Journal:Journal of Business Research

Place of Publication:经济管理学院

Funded by:国家自然科学基金项目

Key Words:Knowledge sharing; Innovation; Intellectual capital;Firm performance; Explanatory and predictive power; Holdout sample; Causal asymmetry

Abstract:This study investigates how knowledge sharing (KS) contributes to firm performance (FP) through the enhancement of innovation and/or intellectual capital (IC) using data collected from Chinese high-technology firms. The paper proposes three alternative models that suggest different mediating roles of innovation and IC components in the KS → FP nomological network based on existing theory. The paper then compares these models in terms of in-sample explanatory and out-of-sample predictive powers using consistent partial least squares path modeling (PLSc). Results indicate that in the best performing model, innovation and IC simultaneously mediate the relationship between KS and FP in this specific context. The findings offer insights regarding the parallel mediation roles of innovation and IC in the KS → FP process, showcase the predictive utility of PLSc, and can help managers set priorities when leveraging KS to achieve specific performance goals.

Note:http://dx.doi.org/10.1016/j.jbusres.2016.03.055

Indexed by:Journal paper

Volume:69

Issue:10

Page Number:4650-4658,第一且通讯作者

ISSN No.:0148-2963

Translation or Not:no

Date of Publication:2016-10-06

Included Journals:SSCI

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

School/Department:经济管理学院

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:经济管理学院 A420

Gender:Male

Contact Information:wangzhining@cumt.edu.cn

Degree:Doctor

Status:在岗

Alma Mater:东南大学

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