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研究生: 周芯宇
Hsin-Yu Chou
論文名稱: 全通路之通路促銷差異如何影響消費者惠顧意願
The Impact of Channel-Based Promotion Differentiation on Consumer Patronage Intention in Omnichannel Retailing
指導教授: 葉峻賓
Chun-Ping Yeh
口試委員: 蕭義棋
Yi-Chi Hsiao
施友元
Yu-Yuan Shih
梁浩怡
Haw-Yi Liang
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2023
畢業學年度: 112
語文別: 英文
論文頁數: 77
中文關鍵詞: 全通路多通路價格策略S-O-R 理論
外文關鍵詞: Omnichannel, Multichannel, Channel-based promotion, Price differentiation, S-O-R framework
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隨著全通路的趨勢不斷增長,關於價格促銷在各通路間應該一致或差異化的問題在業界和學界皆引發了不同的觀點。本研究聚焦零售通路及家庭用品,透過Stimulus-Organism-Response (S-O-R)模型作為假設基礎,研究消費者因通路促銷差異而產生的心理狀態,以及對其惠顧意願之影響。此外,我們探討了由不同產品和顧客特性引起的變化,豐富我們對此差異的理解。

研究採用情境式實驗法(scenario-based experiment),並通過線上問卷收集了356個有效樣本。我們使用偏最小平方法的結構方程模型(PLS-SEM)進行測量。此外,應用多組分析來驗證不同顧客特性和產品類型之間的潛在差異。

本研究發現通路促銷差異可以提升消費者滿意度,並降低感知風險,最終提高其惠顧意願,且線上或實體通路促銷的有效性受到產品類型和顧客特性影響。就產品類型而言,對感知型產品進行線上通路促銷,及對非感知型產品進行實體通路促銷可以有效提高滿意度。而在顧客特性方面,促銷差異能同時提高價格敏感與非價格敏感型顧客的滿意度,並降低感知風險。然而,非價格敏感型的顧客對於實體通路促銷會感到不滿意。


With the growing trend of omnichannel management, the issue of whether price promotions should be consistent or heterogeneous across channels has engendered divergent perspectives within both industry and academia. The primary focus of this research is on the retail channels, with a particular emphasis on household products. By utilizing the stimulus-organism-response (S-O-R) framework as the theoretical basis for our hypotheses, we investigate the psychological state of consumers resulting from the channel-based promotion differentiation, and the subsequent impact on their intention to patronize. Furthermore, we explore the variations caused by disparate product and customer characteristics, thereby enriching our understanding of the observed variations.

In this study, we employ a scenario-based online experiment utilizing a 2 × 2 between-subjects design. With 356 valid samples collected through an online questionnaire, our hypotheses are measured using partial least squares structural equation modeling (PLS-SEM). Moreover, we apply multigroup analysis to verify the potential variations among different customer characteristics and product types.

We find that channel-based promotion differentiation can result in increased consumer satisfaction and reduced perceived risk, and ultimately boost their patronage intention. The effectiveness of online or offline channel promotions is also contingent on the specific product and customer types. Specifically, online promotions for sensory products and offline promotions for non-sensory products effectively enhance customer satisfaction. Regarding customer characteristics, the variation in promotions improves satisfaction and reduces the perceived risk for both price-sensitive and non-price-sensitive customers, except for non-price-sensitive customers who are unsatisfied with offline-exclusive promotions.

This study enriches the marketing literature by introducing and validating the mediating effects of perceived risk and satisfaction on the relationship between channel-based promotion differentiation and customer patronage intention. The findings offer valuable insights for practitioners, allowing them to tailor their channel promotion strategies accordingly. By adopting a differentiated approach across channels based on product type and customer characteristics, practitioners can effectively increase customer patronage intention.

Abstract I Acknowledgement III Table of Contents IV List of Figures VI List of Tables VII 1. Introduction 1 2. Theoretical Background and Hypotheses 5 2.1. From Multichannel to Omnichannel 5 2.2. S-O-R Framework 5 2.3. Stimulus: Perceived Channel-based Promotion Differentiation 7 2.4. Organism: Perceived Risk and Satisfaction 8 2.5. Response: Patronage Intention 12 2.6. Moderating Effect 13 2.6.1. Product Type 13 2.6.2. Price Sensitive 15 2.6.3. Need for Touch 17 3. Research Method 18 3.1. Research Framework 18 3.2. Sample and Data Collection 18 3.3. Study Design 19 3.4. Constructs and Measures 20 3.4.1. Perceived Channel-based Promotion Differentiation (PD) 21 3.4.2. Satisfaction (ST) 21 3.4.3. Perceived Risk (PR) 22 3.4.4. Patronage Intention (PI) 23 3.4.5. Price Sensitive (PS) 23 3.4.6. Need for Touch (NT) 24 3.4.7. Demographic Information 24 3.5. Data Analysis 25 3.5.1. Measurement Model 25 3.5.2. Structural Model 26 3.5.3. External Validity 26 4. Results 28 4.1. Demographic Information 28 4.2. Factor Analysis and Reliability Analysis 31 4.3. Validity Analysis 32 4.3.1. Fornell-Lacker Criterion 32 4.3.2. Heterotrait-Monotrait Ratio (HTMT) 32 4.4. External Validity 33 4.5. Multicollinearity Analysis 33 4.6. Structural Model Analysis 34 4.7. Mediating Effect 35 4.8. Multigroup Analysis 38 4.8.1. The Moderating Effect of Product Type 38 4.8.2. The Moderating Effect of Price Sensitive 40 4.8.3. The Moderating Effect of Need for Touch 42 5. Discussion 44 5.1. The Psychological Mechanisms of Consumers 44 5.2. Differences Between Product Types 45 5.2.1. The Variations in the Impact on Perceived Risk 45 5.2.2. The Variations in the Impact on Satisfaction 46 5.3. Differences Between Customer Characteristics 47 5.3.1. The Impact of Price Sensitive 47 5.3.2. The Impact of Need for Touch 48 6. Conclusion 49 6.1. Theoretical Contribution 49 6.2. Managerial Implications 49 6.3. Limitations and Future Research 50 6.3.1. Limitations on the Research Subjects 50 6.3.2. Limitations on Scenario Setting 50 6.3.3. Limitations on the Data Sample 51 References 52 Appendix 62 1. A questionnaire on the customer patronage intention in a health and beauty retailer - type 1 62 2. A questionnaire on the customer patronage intention in a health and beauty retailer - type 2 66 3. A questionnaire on the customer patronage intention in a health and beauty retailer - type 3 70 4. A questionnaire on the customer patronage intention in a health and beauty retailer - type 4 74

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