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      Relational attractiveness between supplier-customer in a supply chain

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          Abstract

          Abstract Purpose This study aims to evaluate the influence of factors attributed to relationship attractiveness between supplier and customer, from the supplier’s perspective. Design/methodology/approach The empirical exercise was based on the use of multivariate data analysis with confirmatory factor analysis and a partial least squares approach to structural equation modeling. Findings The study resulted in a robust model, with a high explanatory factor for the latent variable relational attractiveness and commitment was the most influential factor, followed by expected value and interorganizational trust. Research limitations/implications Some limitations of the study can be highlighted: conducting research in a single cooperative and with a single audience; choosing a short-cycle supply chain, which may make it difficult to generalize to other industries; the cross-section nature of data also hinders the analysis to understand how the association between variables of interest may vary over time. Practical implications The negative influence of interpersonal trust reinforces the importance of developing collaborative attitudes between parties, whereas the non-significant value for dependence (financial and volume dependence) shows this is not a risk factor for relational attractiveness in a supply chain. Such results provide evidence on how to develop relationship management between suppliers and customers that are part of the same supply chain. Social implications It offers a new perspective for research in cooperatives, which still have no consensus on the motivating factors for members’ participation, including as evidence the results of the largest flower producing center in Latin America. The more a cooperative succeeds in increasing relational attractiveness, the greater the cooperative power and the ability to adapt to shocks and changes, which are fundamental factors for the success and longevity of the cooperative. Originality/value The research presents a model that is comprehensive enough to fit in different contexts and consider its specific characteristics. Additionally, this paper has added in-depth information on the relational attractiveness relationships in the context of a developing country.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              PLS-SEM: Indeed a Silver Bullet

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                Author and article information

                Journal
                rmj
                RAUSP Management Journal
                RAUSP Manag. J.
                Universidade de São Paulo (São Paulo, SP, Brazil )
                2531-0488
                March 2021
                : 56
                : 1
                : 109-128
                Affiliations
                [1] Limeira São Paulo orgnameUniversidade Estadual de Campinas Brazil
                [2] Bauru São Paulo orgnameUniversidade Estadual Paulista orgdiv1Faculdade de Engenharia de Bauru (FEB) Brazil
                [3] Piracicaba São Paulo orgnameUniversidade de São Paulo orgdiv1Escola Superior de Agricultura Luiz de Queiroz Brazil
                Article
                S2531-04882021000100109 S2531-0488(21)05600100109
                10.1108/rausp-09-2019-0202
                eb3ab739-f196-4531-9f1b-3482f99192b8

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 26 September 2019
                : 20 September 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 74, Pages: 20
                Product

                SciELO Brazil

                Categories
                Research Paper

                Relationship marketing,B2B relationship,Cooperativism,Relational attractiveness,Brazil

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