Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Because of the decline of traditional shopping centers and malls and the diminishing customer shopping radius caused by COVID-19, local neighborhood businesses have begun attracting increased patronage from customers, more capital investment, and enhanced attention from policymakers. However, research on local neighborhood businesses and their local community customers is lacking in mainstream marketing and consumer behavior literature. Specifically, existing research does not reveal the unique characteristics of local community customers compared with nonlocal customers. As a result, the picture of local community customers is still unclear. To fill in this gap, the current study first seeks to provide a clear definition and conceptualization of “local community customers.” This paper proposes a six-dimensional characterization of local community customers: proximity, a high willingness to join a loyalty program, more susceptible to word-of-mouth effects, a propensity for place attachment, a propensity for customer satiation, and family-related consumption. We thus provide a brand-new framework for local community customer research. Then, considering the proximity of local community customers to neighborhood stores with a high frequency of consumption, we further propose that local community customers may develop place attachment to local stores because of frequent and long-term interactions, yet they may also become satiated with local stores because of repeated consumption. These two opposing mechanisms may trigger complex cognitive and emotional responses of local customers, which in turn may affect their repurchase behavior. Based on these two contradictory mechanisms, this paper offers a series of propositions and a theoretical framework regarding “how to enhance local community consumers’ place attachment” and “how to alleviate their satiation”. Specifically, in terms of improving place attachment, this paper proposes that local community customers have a higher intention to purchase from local stores whose brand name contains (vs. does not contain) the Chinese character “home” or “family”, whose salespeople exhibit a warm (vs. competent) image, that offer (or do not offer) additional services, or that organize experiential (vs. material) membership activities. This is because the former options help form higher place attachment. In previous studies, place attachment has often been used to describe the emotional connection between individuals and families, communities, cities, regions, countries, or even entire continents, but less attention has been paid to the possible emotional relationships between customers and retail spaces. We expect that the findings of this paper would significantly promote place attachment theories. In terms of reducing the satiation of local community customers, this study proposes that local community customers are more willing to buy from local stores that adopt a cross-industry alliance loyalty program (vs. non-cross-industry alliances), offer rich (vs. single) product lines, or launch shareable (vs. non-shareable) coupons, because the former options can more effectively relieve local community customers’ satiation. In this part, we explored the influence of resource endowment factors (cross-industry alliances), situational factors (social experience in which coupons can be shared), and product factors on customer satiation, thus enriching customer satiation theories.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-02-17 Cooperative journals: 《智慧农业（中英文）》
Abstract： Imazalil, a preservative for navel orange in the process of postharvest processing, is easy to seep into the flesh through the peel and produce residues in the flesh, which is vulnerable to cause endanger to human body if it was eaten accidentally. Base on this, a fast detection method of imazalil residues in navel orange peel ,namely surface-enhanced Raman spectroscopy (SERS) was proposed in this study. Firstly, the SERS detection conditions of imazalil residues in navel orange peel were optimized, and the optimal detection conditions were determined as follows: Reaction time of 2 min, gold colloid of 400 μL, NaBr as electrolyte solution, NaBr dosage of 25 μL. Based on the above optimal conditions, 6 groups of spectral data processed by adaptive iterative penalized least squares (air PLS), air PLS combination with normalization, air PLS combination with baseline correction, air PLS combination with first derivative, air PLS combination with standard normal distribution (SNV), air PLS combination with multiplicative scatter correction (MSC) were used to establish support vector regression (SVR) models and compare the models prediction performance. And air PLS method was selected as the spectral pretreatment method, because the value of correlation coefficient computed value of prediction set (RP) is the largest, and the value of root mean square error calculated value of the prediction set (RMSEP) is the smallest. Then, principal component analysis (PCA) was used to extract the features from spectral data, and the first seven principal component scores were selected as the input values of SVR prediction model. SVR, multiple linear regression (MLR) and partial least squares regression (PLSR) were used to analyze and compare the prediction performances. The RP value of prediction set of SVR prediction model could reach 0.9156, the RMSEP value of their prediction set was 4.8407 mg/kg, and the relative standard deviation computation value (RPD) was 2.3103, which indicated that the closer the predicted value of imazalil residue on navel orange surface based on SVR algorithm was to the measured value, the more effective the prediction accuracy of the model could be. The above data indicated that the speedy detection of imazalil residues in navel orange peel could be emploied by SERS coupled with PCA and SVR modeling method.
Subjects: Psychology >> Applied Psychology submitted time 2022-01-24
Abstract：
Because of both the decline of traditional shopping centers or malls and the diminishing of customer shopping radius caused by COVID-19, local neighborhood businesses have begun attracting increased patronage from customers, more capital investments, and enhanced attention from policymakers. Research on local neighborhood businesses and the local community customers is lacking in mainstream marketing literature though. To address this gap, the current study seeks to provide a clear definition and conceptualization of “local community,” which then informs a six-dimensional characterization of local community customers. Two characteristics appear particularly relevant: place attachment proneness and customer satiation proneness. In reviewing these characteristics, this study offers a series of propositions and a theoretical framework, which can help increase local community customers’ place attachment to local neighborhood stores and reduce their satiation due to repeated purchases. On the basis of the propositions, researchers can pursue greater insights into local community customers and local neighborhood commerce, while also expanding place attachment and customer satiation theories. Finally, local neighborhood companies can use the proposed framework to predict and satisfy customers’ needs, and develop more effective, actionable marketing strategies.
Peer Review Status:
Awaiting Review
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