Pro-environment behavioural moderators of the association between perceived walkability and social activity

Danquah, Emelia; Asiamah, Nestor; Opuni, Frank Frimpong; Ocloo, Chosniel Elikem; Ricky-Okine, Charles K.

doi:10.1016/j.jth.2022.101533

Cited by 7 publications

(1 citation statement)

References 43 publications

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“…This study employed hierarchical linear-regression (HLR) analysis using SPSS 20.0 software to assess the data and to evaluate the hypotheses. Following the methodology outlined in Danqual et al's research [43], we initially examined the essential statistical assumptions for conducting HLR. Exploratory analyses yielded skewness and kurtosis values of −0.26 and −0.18, respectively, which were well within the acceptable range of −2 to 2.…”

Section: Hypotheses Testingmentioning

confidence: 99%

Face or Relational Benefits? Research on the Influencing Mechanism on Repurchase Intention for Agricultural Inputs

Gao,

Li,

et al. 2023

Sustainability

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Drawing insights from interpersonal relationship theory and relationship marketing theory, this study investigates the impacts of “face” and relational benefits on farmers’ repurchase intentions for agricultural inputs, and the moderating effect of relational benefits on the relationship between face and repurchase intention. A survey method was employed to test the hypotheses and data were collected from a sample of 578 farmers in rural China. The findings obtained through hierarchical regression analysis indicated that face and relational benefits (including social benefits and special-treatment benefits) exert positive effects on farmers’ repurchase intentions. However, relational benefits negatively moderate the relationship between face intentions and repurchase intention. This research sheds light on the dilemmas faced by farmers when choosing between maintaining face and seeking actual benefits while making repurchase decisions related to agricultural inputs. Moreover, the results contribute to the existing literature on the marketing of agricultural inputs and offer valuable practical implications for agricultural retailers.

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Section: Hypotheses Testingmentioning

confidence: 99%