Human Flesh Search: What Did We Find?

Heng, Cheng-Suang; Lin, Zhijie; Xu, Xiaoying

doi:10.2139/ssrn.2990436

Cited by 2 publications

(4 citation statements)

References 52 publications

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“…Second, behavioral contagion refers to the tendency or process in which certain behaviors exhibited by an actor are copied by observers who are socially related to the original actor (Heng et al , 2019; Liao et al , 2020). However, in contrast to other types of social influence, such as social pressures or conformity, in behavioral contagion the actor does not intend to evoke such copying process (Wheeler, 1966).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…However, in contrast to other types of social influence, such as social pressures or conformity, in behavioral contagion the actor does not intend to evoke such copying process (Wheeler, 1966). As antisocial behaviors might be more contagious than pro-social ones (Dimant, 2019), prior research has typically used a theory of behavioral contagion to explain spreading undesirable behaviors (Heng et al , 2019). It has been confirmed that employees may have a tendency to imitate undesirable or even deviant behaviors at the workplace (Gino et al , 2009; Robinson et al , 2014).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Alexithymia, social inhibition, affectivity, and knowledge hiding

Kmieciak

2022

JKM

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Purpose This paper aims to examine the impact of adverse personality traits (alexithymia, social inhibition, negative affectivity) and supervisor knowledge hiding on individual knowledge hiding. This study also explores the moderating role of positive affectivity. Design/methodology/approach Partial least squares path modeling and data collected from 518 Polish employees with higher education and extensive professional experience recruited via an Ariadna survey panel were used to test the research hypotheses. Findings Two dimensions of alexithymia were considered: difficulty identifying feelings (DIF) and difficulty describing feelings (DDF). DIF has a direct impact on individual hiding, whereas DDF has an indirect impact, via social inhibition. Negative affectivity is a predictor of social inhibition, which enhances knowledge hiding. Positive affectivity slightly weakens the positive and strong effect of supervisor knowledge hiding on subordinate knowledge hiding. Practical implications Because alexithymia, social inhibition and negative affectivity may predispose employees to knowledge hiding, managers should identify these personality traits among job applicants and hired employees to make appropriate employment decisions. Moreover, managers should be aware that hiding knowledge by a supervisor may be imitated by subordinates. Originality/value Based on conservation of resources theory, this study investigates previously unexplored relationships among alexithymia, social inhibition, affectivity and knowledge hiding.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Alexithymia, social inhibition, affectivity, and knowledge hiding

Kmieciak

2022

JKM

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“…In terms of the path prediction of a SIS, most scholars [25][26][27] mainly establish similarity indicators based on the structural characteristics of the network, such as the nearest neighbor, the degree of nodes, and the degree of community contribution, and judge whether a link relationship exists between nodes by ranking similarity. Heng et al [28] established three contagious mechanisms driving SIS behavior (i.e., fueled emotionalism, blind acceptance, and collective amnesia) and two noncontagious mechanisms (i.e., isolated dissension and sluggish update), which also provide insights into the technology affordances and constraints. Critical theoretical contributions and important practical implications for SIS initiators, facilitators, and designers of forums have been discussed [28] .…”

Section: Introductionmentioning

confidence: 99%

“…Heng et al [28] established three contagious mechanisms driving SIS behavior (i.e., fueled emotionalism, blind acceptance, and collective amnesia) and two noncontagious mechanisms (i.e., isolated dissension and sluggish update), which also provide insights into the technology affordances and constraints. Critical theoretical contributions and important practical implications for SIS initiators, facilitators, and designers of forums have been discussed [28] . These methods are simple in calculation and low in complexity, but they are mostly based on static network structures, ignoring the influence of dynamic changes in netizens attributes in social networks [1] .…”

Section: Introductionmentioning

confidence: 99%

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model

Shi

Fei

Sun

et al. 2023

Tsinghua Sci. Technol.

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In this paper, we introduce a long-term follow-up specific individual searching (SIS) model. This model introduces the concept of node search contributions by considering the characteristics of the network structure. A node search contribution indicates the ability of a certain node to correctly guide the search path and successfully complete an SIS. The influencing factors of node search contributions have three components: the individual influence index, attribute similarity, and node search willingness. On the basis of node search contributions and the PeopleRank idea, this paper proposes an SIS model based on node search contribution values and conducts comparison experiments with several mainstream SIS algorithms in three aspects: the search failure rate, the minimum number of search hops, and the search size. The experimental results verify the advanced nature and operability of the model proposed in this paper, which presents theoretical and practical significance to the quantitative study of the SIS process.

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Human Flesh Search: What Did We Find?

Cited by 2 publications

References 52 publications

Alexithymia, social inhibition, affectivity, and knowledge hiding

Alexithymia, social inhibition, affectivity, and knowledge hiding

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model

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