Objectives: Knowledge hiding is inappropriate behavior of employees at the workplace that makes the entire organization suffer a subtle yet significant loss. Lack of sharing makes the journey of learning an arduous process. This, in turn, gives rise to a series of uncivil behaviors, hence resulting in a decrease of functional interdependence (FI). The cascading result toll is a turnover intention (TI), resting only after turnover—an actual separation from the employer. Statistical analysis of the empirical data collected depicts the intensity of influence of FI and TI as a result of the knowledge-hiding behavior.Methods: Three hundred sixty-three executives employed in three public and two private manufacturing organizations in eastern India were the respondents in our study. To analyze the difference in variables of the study, a t-test was carried out. The statistical findings suggest no significant difference among study variables. This specifies that, despite a considerable difference in levels of management, there was no significant difference in perceiving workplace incivility, knowledge-hiding behavior, FI, and TI items of our instruments.Results: Correlation findings show a negative association between workplace incivility and functional interdependence (r = −0.37 when the value of p is <0.01) and a positive association among workplace incivility and turnover intention (r = 0.32 when the value of p is <0.01). The condensed effect of workplace incivility (β = −0.59 when the value of p is <0.001) along with an important presence of knowledge-hiding behavior (β = −0.68 when the value of p is <0.01) when the dependent variable is FI indicates that knowledge-hiding behavior is mediating a partial association among workplace incivility and FI. Similarly, the effect of workplace incivility (β = 0.43 when the value of p is <0.01) is decreased when the impact of knowledge-hiding behavior (β = 0.66 when the value of p is <0.001) was sizeable with TI being the dependent variable.Conclusion: The effect of knowledge hiding is inversely proportional to FI, whereas sharing has a direct relation with TI. An exhaustive data sample and a rigorous statistical analysis may give a clear picture of the amount of impact of TI and FI due to the lack of knowledge sharing and/or knowledge hiding.

Purpose The purpose of this paper is to empirically exhibit the moderating effect of learner interaction (LI) on motivation to learn (MTL), mobile learning (ML) and online learning climate (OLC), so as to bring in enhanced rigour to the virtual knowledge dissemination during the times of crisis. Design/methodology/approach A total of 784 valid responses were considered for the confirmatory factor analysis to test the proposed hypotheses. Findings The study found that MTL and ML contributed to improved OLC and high LI moderated the positive relationship between MTL, ML and OLC. LI also directly contributed to an improved OLC. Practical implications Measures need to be designed to crowbar motivation to ensure heightened interaction of learners, to gear up the ML reach soaring heights achieving a dynamic OLC. Acclimatization of the OLC will be the visionary solution to tackle learning disruption during today’s pandemic times and also many other challenges to come in near-far future. Originality/value The current study established the moderating role of LI in influencing OLC, and also motivating facilitator’s for designing upgraded content, and thereby fuelling the intention to learn.

Purpose To propose a newer perspective for an often-tabooed knowledge hiding by highlighting the socio-psychological experiences in knowledge sharing. Design/methodology/approach An in-depth interviewing process was adopted to study the influencers of knowledge flow, taking 42 educators of the online teaching platforms. Findings Unrelatedness, supervision, and engagement propelled knowledge sharing-conducive ambiance, contrary to the conclusions of the earlier studies. Originality/value Emerged themes established a connection between knowledge sharing, and the feel-good factor, promoting future researchers to extend it to higher psychological order approaches like Guanxi, Mianzi, and Ikigai.

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