Fanxing Meng, Xiaomei Wang, Huajiao Chen, Jin Zhang, Wei Yang, Jin Wang and Quanquan Zheng
The purpose of this paper is to explore the influence of organizational culture (OC) on talent management (TM) by a case study of a real estate company.
Abstract
Purpose
The purpose of this paper is to explore the influence of organizational culture (OC) on talent management (TM) by a case study of a real estate company.
Design/methodology/approach
The method of case study is adopted in the present study.
Findings
The authors present four propositions. The first is OC has an effect on TM. The second is a new conceptual model of TM. The third is a 4-P pattern to identify and develop the talent. The fourth is to adopt both the spiritual and material satisfactions that retain the talent.
Research limitations/implications
The primary limitation of this study is embedded in the case study method, which is not sufficient to represent the totality. The other limitation is that the issue of cohesion and team efficacy of talents is not considered. This study argues the relationship between OC and TM and expands the existing TM and OC theory. The effect of professional idealism is emphasized on in the process of TM. Talent can be retained firmly within the organization through the methods of rebuilding and strengthening OC.
Originality/value
A conceptual model of TM, 4-P pattern of evaluation and the operational mean to retain the talent is introduced.
Details
Keywords
Xiufeng Cheng, Jinqing Yang and Lixin Xia
This paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the…
Abstract
Purpose
This paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the development of mobile applications that provide a context-awareness service.
Design/methodology/approach
First, the authors propose the context data reasoning framework (CDRFM) for generating service-oriented contextual information. Then they used this framework to composite mobile sensor data into low-level contextual information. Finally, the authors exploited some high-level contextual information that can be inferred from the formatted low-level contextual information using particular inference rules.
Findings
The authors take “user behavior patterns” as an exemplary context information generation schema in their experimental study. The results reveal that the optimization of service can be guided by the implicit, high-level context information inside user behavior logs. They also prove the validity of the authors’ framework.
Research limitations/implications
Further research will add more variety of sensor data. Furthermore, to validate the effectiveness of our framework, more reasoning rules need to be performed. Therefore, the authors may implement more algorithms in the framework to acquire more comprehensive context information.
Practical implications
CDRFM expands the context-awareness framework of previous research and unifies the procedures of acquiring, describing, modeling, reasoning and discovering implicit context information for mobile service providers.
Social implications
Support the service-oriented context-awareness function in application design and related development in commercial mobile software industry.
Originality/value
Extant researches on context awareness rarely considered the generation contextual information for service providers. The CDRFM can be used to generate valuable contextual information by implementing more reasoning rules.