The effect of subjective age on knowledge sharing in the public sector

被引:14
作者
Lazazzara, Alessandra [1 ]
Za, Stefano [2 ]
机构
[1] Univ Milan, Dept Social & Polit Sci, Milan, Italy
[2] Univ G dAnnunzio, Dept Management & Business Adm, Pescara, Italy
关键词
Public sector; Quantitative; Knowledge sharing; Organizational structure; Subjective age; Age similarity; Knowledge sharing attitude; RESEARCH-AND-DEVELOPMENT; AGING WORKFORCE; PERSONAL AGE; CHRONOLOGICAL AGE; MANAGEMENT; WORK; DIVERSITY; HEALTH; ORGANIZATIONS; PERFORMANCE;
D O I
10.1108/PR-07-2018-0248
中图分类号
F24 [劳动经济];
学科分类号
020106 ; 020207 ; 1202 ; 120202 ;
摘要
Purpose The purpose of this paper is to examine whether subjective age - i.e., how old or young individuals experience themselves to be - affects explicit and tacit knowledge sharing (KS) in the public sector. Moreover, the study explores the moderating effect of three socio-organisational factors, namely KS attitude, co-workers age similarity and organisational structure, on the relationship between subjective age and KS. Design/methodology/approach Data were collected from employees working in public (n=144) and hybrid (n=263) Italian organisations. Hierarchical linear multiple regression analysis was employed to examine the multivariate effects on explicit and tacit KS. Findings Employees who perceive themselves to be older than they actually are experience lower explicit KS in the public sector. In addition, the moderating effect of age similarity and organisational structure on the relationship between subjective age and tacit KS was found to be significant. Originality/value This is the first study linking subjective age to KS in the public sector. This is an extremely interesting context due to the high average age and oldest workforce composition. In this way, the paper extends the literature on subjective age and work-related outcomes and may potentially contribute to the debate regarding KS practices in public organisations.
引用
收藏
页码:303 / 323
页数:21
相关论文
共 113 条
[1]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[2]   Review:: Knowledge management and knowledge management systems:: Conceptual foundations and research issues [J].
Alavi, M ;
Leidner, DE .
MIS QUARTERLY, 2001, 25 (01) :107-136
[3]   Formal versus informal knowledge networks in R&D: a case study using social network analysis [J].
Allen, James ;
James, Andrew D. ;
Gamlen, Phil .
R & D MANAGEMENT, 2007, 37 (03) :179-196
[4]  
Alvesson M., 1993, MANAGEMENT KNOWLEDGE
[5]  
[Anonymous], 2011, PUBLIC ORGAN REV, DOI DOI 10.1007/S11115-010-0141-4
[6]  
[Anonymous], UK AC INF SYST C P
[7]  
[Anonymous], GREYING BAB BOOM
[8]  
[Anonymous], 2019, POP STRUCT AG
[9]  
[Anonymous], 1995, New York
[10]  
[Anonymous], HDB KNOWLEDGE MANAGE