Reciprocity and gift-giving logic in NPOs

Abstract

Purpose – The purpose of this paper is to investigate, through the lens of the gift-giving theory, volunteers’\ud motivations for intending to stay with organizations.\ud Design/methodology/approach – Data were collected from 379 volunteers from 30 charitable\ud organizations operating in Italy’s socio-healthcare service sector. Bootstrapped mediation analysis was\ud used to test the hypothesized relationships.\ud Findings – Volunteers’ reciprocal attitudes and gift-giving intentions partially mediated the relationship\ud between motives and intentions to stay.\ud Practical implications – Policy makers of charitable organizations are advised to be more responsive to\ud behavioral signals revealing volunteers’ motivations, attitudes, and intentions. Managers should\ud appropriately align organizational responsiveness with volunteers’ commitment through gift-giving\ud exchange systems.\ud Originality/value – The findings reveal that reciprocity and gift giving are significant organizational\ud variables greatly influencing volunteers’ intentions to stay with organizations. Signaling theory is used to\ud explain how volunteers’ attitudes are linked with organizational responsiveness. Furthermore, this study is\ud the first to use an Italian setting to consider motives, reciprocity, and gift giving as they relate to intentions\ud to stay

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Is internal CSR really less impactful in individualist and masculine Cultures? A multilevel approach

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Cultural dimensions in online purchase behavior: Evidence from a cross-cultural study

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“…This means that starting from the collected sample, many new samples are created of equal number randomly extracted with replacement, for example a participant can be extracted several times in a sample. Hayes' ( 2009 ) mediation and moderation modeling allows for repeated random sampling with substitution from the data set to calculate the desired statistics in each resampling, and all the bootstrap samples provide an approximation of the sampling distribution of the statistics of interest (see Zollo et al, 2017 ). In this respect, we suggest future scholars to expand our conceptual model (Fig.…”