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Multi Partner Loyalty Programs: Perception and Preferences

机译:多伙伴忠诚度计划:感知和偏好

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Background/Objectives: This research is conducted to know whether customer likes to enroll and use loyalty program to determine their preferences over Multi Partner Loyalty Program and to find ranking of various store patronage factors. Methods/Statistical Analysis: The research was conducted by collecting 201 customer’s data, who are member of at least one Multi Partner Loyalty Program. Respondents were selected by disproportionate stratified random sampling from various supermarkets. Data analysis was done with the help of Binomial test and Friedman Test in IBM SPSS 20. Findings: The result has shown that a customer likes to enroll and use loyalty programs. Customers prefer Multi Partner Loyalty Program over single vendor. While determining the preference ranking among various store patronage factors i.e. Price, Quality and Loyalty cards as a, it has been found that most important factor influencing store patronage is Quality of goods followed by Price and Loyalty card. Researcher has used MPLP as a store patronage factors for the first time. Applications/Improvements: By knowing the customer’s likeness and preferences with respect to loyalty programs it can be reengineered to increase its preferences among retail customers. This will ultimately increase a profit for all the partners in long run.
机译:背景/目的:进行这项研究是为了了解客户是否喜欢注册并使用忠诚度计划来确定他们对“多伙伴忠诚度计划”的偏好,并找到各种商店光顾因素的排名。方法/统计分析:该研究是通过收集201位客户的数据进行的,这些数据至少是一个多方合作伙伴忠诚度计划的成员。通过从各个超市中按比例分层的随机抽样选择受访者。借助IBM SPSS 20中的二项式检验和Friedman检验完成了数据分析。结果:结果表明,客户喜欢注册和使用忠诚度计划。与单一供应商相比,客户更喜欢“多伙伴忠诚度计划”。在确定各种商店光顾因素(即价格,质量和会员卡)之间的偏好等级时,已经发现影响商店光顾的最重要因素是商品质量,其次是价格和会员卡。研究人员首次将MPLP用作商店的惠顾因素。应用程序/改进:通过了解客户在忠诚度计划方面的相似度和偏好,可以对其进行重新设计以提高其在零售客户中的偏好。从长远来看,这最终将为所有合作伙伴增加利润。

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