Unveiling heterogenous knowledge-oriented leadership and knowledge acquisition based hybrid work agility of knowledge workers

被引:13
作者
Khatri, Puja [1 ]
Duggal, Harshleen Kaur [1 ]
Dutta, Sumedha [2 ]
Kumari, Preeti [1 ]
Thomas, Asha [3 ]
Brod, Tatyana [4 ]
Colimoro, Letizia [4 ]
机构
[1] Guru Gobind Singh Indraprastha Univ, Univ Sch Management Studies, New Delhi, India
[2] Maharaja Agrasen Inst Management Studies, Dept Management, New Delhi, India
[3] Wroclaw Univ Sci & Technol, Dept Operat Res & Business Intelligence, Wroclaw, Poland
[4] Link Campus Univ, Dept Human Sci, Rome, Italy
关键词
Hybrid work agility; Agility; Knowledge-oriented leadership; Knowledge acquisition; PLS-POS; FIMIX-PLS; PLS Predict; Unobserved heterogeneity; PATH-GOAL THEORY; PLS-SEM; WORKFORCE AGILITY; UNOBSERVED HETEROGENEITY; VALIDITY; PERFORMANCE; INNOVATION; BEHAVIORS; IMPACT; FUTURE;
D O I
10.1108/JKM-10-2022-0793
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
PurposeWith new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs. Design/methodology/approachData was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict. FindingsResults indicate that KOL contributes to employees' KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA. Research limitations/implicationsThe authors' major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA. Practical implicationsTechnological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions. Originality/valueHWA is a novel concept and very germane in a hybrid working environment. To the best of the authors' knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.
引用
收藏
页码:253 / 278
页数:26
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