Unveiling the impact of employee-customer familiarity on customer purchase intentions: an empirical investigation within the realm of web-based date analytics

Bingfeng Li, Xiaoting Xie, Shuang Qiao, Shilei Tan
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Abstract

This research delves into the intricate dynamics of employee-customer familiarity and its profound influence on customer purchase intentions within the burgeoning domain of web-based data analytics. In an era characterized by an increasingly digital marketplace, understanding the nuanced interactions between employees and customers is paramount for businesses striving to enhance customer relationships and drive purchase decisions. Drawing on empirical investigations, this study unravels the multifaceted facets of employee-customer familiarity, seeking to shed light on its implications for customer purchase intentions in the context of web-based data analytics. In this paper, an empirical study investigates the influence of employee-customer familiarity on customers’ purchase intention for the home bedding industry, summarizes the current situation, puts forward research hypotheses and constructs a model of the effect of employee-customer familiarity on purchase intention was constructed. The familiarity of buyers and sellers was evaluated through a customer questionnaire, which provided subjective insights into the strength of interpersonal relationships. Meanwhile, confidence analysis, ANOVA (analysis of variance), correlation analysis and regression analysis were conducted on the survey data to explore the actual effects of these relationships on customers’ purchase intention, and the positive effects of the five hypotheses on purchase intention were investigated. The anticipated findings suggest that increasing employee-customer familiarity positively impacts customers’ purchase intentions, thereby illuminating the critical role of personalized interactions in driving business outcomes. Furthermore, the study sought to reveal the nuances of this relationship, recognizing the potential impact of different customer characteristics and industry contexts. Practical implications center on guiding companies in aligning their strategies to improve customer satisfaction and loyalty. From staff training programmes to targeted marketing campaigns, from brand influence to web e-commerce platform optimisation, businesses can use the insights gained from this research to build more meaningful connections with their customers. Building more meaningful connections with customers.

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揭示员工-客户熟悉程度对客户购买意向的影响:基于网络的约会分析领域的实证调查
在基于网络的数据分析这一新兴领域中,本研究深入探讨了员工与客户熟悉程度的复杂动态及其对客户购买意向的深远影响。在这个以日益数字化的市场为特征的时代,了解员工与客户之间细微的互动对于努力加强客户关系和推动购买决策的企业来说至关重要。本研究以实证调查为基础,揭示了员工与客户熟悉程度的多面性,试图揭示其在基于网络的数据分析中对客户购买意向的影响。本文针对家居寝具行业,实证研究了员工-顾客熟悉度对顾客购买意向的影响,总结了现状,提出了研究假设,并构建了员工-顾客熟悉度对购买意向的影响模型。通过顾客问卷对买卖双方的熟悉程度进行了评估,从主观上了解了人际关系的强度。同时,对调查数据进行了信度分析、方差分析、相关分析和回归分析,探讨了这些关系对顾客购买意向的实际影响,并研究了五个假设对购买意向的积极影响。预期结果表明,提高员工与客户的熟悉程度会对客户的购买意向产生积极影响,从而揭示了个性化互动在推动业务成果方面的关键作用。此外,研究还试图揭示这种关系的细微差别,认识到不同客户特征和行业背景的潜在影响。实际意义在于指导企业调整战略,提高客户满意度和忠诚度。从员工培训计划到有针对性的营销活动,从品牌影响力到网络电子商务平台优化,企业都可以利用本研究获得的洞察力与客户建立更有意义的联系。与客户建立更有意义的联系。
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