跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.91) 您好!臺灣時間:2025/03/16 12:04
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:柯寗育
研究生(外文):KO, NING-YU
論文名稱:你想要在哪裡買? 探討研究型購物轉換意圖: 最優化傾向與推-拉-阻架構之觀點
論文名稱(外文):Buy Here or Buy There? Understanding Research Shopping From the Perspectives of Maximizing Tendency and Push-Pull-Mooring Framework
指導教授:謝榮桂謝榮桂引用關係
指導教授(外文):HSIEH, JUNG-KUEI
口試委員:黃旭立謝榮桂唐運佳
口試委員(外文):HUANG,HSU-LIHSIEH, JUNG-KUEITANG,YUN-CHIA
口試日期:2019-06-26
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:英文
論文頁數:79
中文關鍵詞:研究型購物反展廳現象展廳現象最優化傾向推-拉-阻架構
外文關鍵詞:Research ShoppingWebroomingShowroomingMaximizing TendencyMaximizerSatisficerPush-Pull-Mooring Framework
相關次數:
  • 被引用被引用:0
  • 點閱點閱:373
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
現今電子商務蓬勃,許多零售商擁有多通路,而消費者在做購買決策前為取得更多產品資訊,會在不同通路間進行轉換,此現象稱之為「研究型購物」。研究型購物可分為兩種:「反展廳現象」與「展廳現象」,線上搜尋線下購買者稱為反展廳,反之則稱為展廳。研究型購物可視為一種決策過程,過去研究大多探討單一研究型購物,少有文獻同時探討反展廳現象與展廳現象。此外,人們內在特質的不同會影響決策過程,最優化傾向者(極大化者)與低優化者(滿意者)會做出不同的決策結果。因此,本研究目的結合消費者內在因子(最優化者傾向)與消費環境外部因子(研究型購物之影響因素),同時探討消費者反展廳現象與展廳現象之意圖。本研究透過推-拉-阻架構,歸納出六個促進研究型購物的影響因素,透過六個2x2的實驗,探討研究型購物與最優化傾向的交互作用。
  本研究前三個實驗探討反展廳情境。實驗一發現,不論零售商回應性高與低,最優化者有較高反展廳意圖;相反地,滿意者只有在零售商回應性低的時候,才會有較高的反展廳意圖。實驗二發現,當最優化者與滿意者擁有高程度觸碰動機,兩者都會有較高的反展廳意圖。實驗三發現,最優化者的反展廳意圖不會受到轉換障礙影響,滿意者皆擁有高反展廳意圖;然而,滿意者只有在轉換障礙低的時候,才擁有較高的反展廳意圖。此外,本研究也使用三個實驗探討展廳情境。實驗四發現,最優化者仍擁有高度的展廳意圖,當滿意者知道網路商店能提供更多產品,而滿意者傾向留在實體店面。實驗五發現,當網路商店可以提供更優惠的價格優惠時(儘管價格優惠差異甚小),最優化者比滿意者擁有更高的展廳意圖。實驗六發現,當沉沒成本低時,最優化者比滿意者有更高的展廳意圖。本研究透過最優化傾向探討兩種型態的研究型購物,結果顯示兩者研究型購物具有不同的特性。本研究對於研究型購物具有學術貢獻,同時對於擁有多通路之零售商提出實務意涵。

Consumers can easily perform a channel-switching behavior during the purchasing process because of the propensity of e-commerce. This channel-switching behavior is “Research shopping” which includes two types: webrooming and showrooming. Most studies examined only one type of research shopping and thus this research intends to fill this academic gap by taking both two types into account. Furthermore, this research considers that there is a difference between individuals with high (maximizers) and low (satisficers) maximizing tendency during the purchasing decision-making process. The push-pull-mooring framework is employed to identify six external factors of research shopping and six studies are conducted to investigate the interactive effects between external factors (the antecedents of research shopping) and consumers’ internal factor (maximizing tendency) on consumers’ channel-switching behavior.
For the research shopping of webrooming, three 2 x 2 experimental designs are conducted to examine the interaction effect of external factors of webrooming and maximizing tendency on webrooming intention. Study 1 demonstrates that satisficers have a high webrooming intention only when the responsiveness of the online store is low. However, maximizers’ webrooming intention is not affected by the responsiveness of the online store. Study 2 demonstrates both of maximizers and satisficers have a high webrooming intention when they have a high level of motivation to touch. Study 3 demonstrates satisficers have a higher webrooming intention only when the switching barrier of webrooming is low, whereas maximizers’ webrooming intention is not affected by the switching barrier of webrooming.
For the research shopping of showrooming, the other three 2 x 2 experimental designs are conducted to investigate the interaction effect between external factors of showrooming and maximizing tendency on showrooming intention. Study 4 demonstrated maximizers have a higher showrooming intention (than satisficers) when the offline store provides less assortment, even though maximizers have already found the product they want. In contrast, satisficers tend to stay at the offline store. Study 5 demonstrates maximizers have a higher showrooming intention (than satisficers) when the online store could provide a better price discount (even though there is a little difference of price discount between online and offline store), whereas satisficers tend to stay in the offline store. Study 6 demonstrates maximizers have a higher webrooming intention (than satisficers) when the sunk cost of showrooming is low, whereas satisficers’ showrooming intention is not affected by the sunk cost of showrooming.
The findings showed that consumers have different channel-switching behaviors in the two types of research shopping with different level of maximizing tendency. This research contributes to the field of research shopping by exploring the interactive relationship between research shopping and maximizing tendency, and also provides managerial insights for the retailers with online and offline channels.
中文摘要 I
ABSTRACT II
目錄 IV
圖次 VIII
表次 IX
1.Introduction 1
1.1. Research Background 1
1.2. Research Motivation and Purpose 2
2.Literature Review 6
2.1. Research Shopping: Webrooming, Showrooming 6
2.1.1. Webrooming 7
2.1.2. Showrooming 8
2.2. Push-Pull-Mooring Framework 11
2.3. Maximizing Tendency 12
3.Hypotheses Development 14
3.1. Interaction Effects of PPM and Maximizing Tendency on Webrooming
Intention 16
3.1.1. Push Factor – Responsiveness of Online Stores 16
3.1.2. Pull Factor –Motivation to Touch 17
3.1.3. Mooring Factor– Switching Barrier 18
3.2. Interaction Effects of PPM and Maximizing Tendency on Showrooming
Intention 19
3.2.1. Push Factor –Assortment Size 19
3.2.2. Pull Factor – Price Discount 20
3.2.3. Mooring Factor – Sunk Cost of Showrooming 22
4.Methodology 24
5.Study 1: Push Factor and Webrooming Intention 25
5.1. Pilot test 25
5.2. Design & Procedure 25
5.3. Measurement 27
5.3.1. Manipulation Checks 27
5.3.2. Webrooming Intention 28
5.3.3. Control Variables 28
5.3.4. Realism of Experiment 28
5.4. Results 28
5.4.1. Manipulation Checks and Realism of Experiment 28
5.4.2. Main and Interaction Effect 29
5.5. Discussion of Study 1 30
6.Study 2: Pull Factor and Webrooming Intention 31
6.1. Design & Procedure 31
6.2. Measurement 31
6.3. Results 31
6.3.1. Manipulation Checks and Realism of Experiment 31
6.3.2. Main and Interaction Effect 32
6.4. Discussion of Study 2 33
7.Study 3: Mooring Factor and Webrooming Intention 35
7.1. Design & Procedure 35
7.2. Measurement 35
7.3. Results 35
7.3.1. Manipulation Checks and Realism of Experiment 35
7.3.2. Main and Interaction Effect 36
7.4. Discussion of Study 3 37
8.Study 4: Push Factor and Showrooming Intention 39
8.1. Design & Procedure 39
8.2. Measurement 41
8.2.1. Manipulation checks 41
8.2.2. Showrooming Intention 41
8.2.3. Control Variables 42
8.2.4. Realism of Experiment 42
8.3. Results 42
8.3.1. Manipulation Checks and Realism of Experiment 42
8.3.2. Main and Interaction Effect 43
8.4. Discussion of Study 4 44
9.Study 5: Pull Factor and Showrooming Intention 46
9.1. Design & Procedure 46
9.2. Measurement 47
9.3. Results 47
9.3.1. Manipulation Checks and Realism of Experiment 47
9.3.2. Main and Interaction Effect 47
9.4. Discussion of Study 5 49
10.Study 6: Mooring Factor Showrooming Intention 50
10.1. Design & Procedure 50
10.2. Measurement 51
10.3. Results 51
10.3.1. Manipulation Checks and Realism of Experiment 51
10.3.2. Main and Interaction Effect 51
10.4. Discussion of Study 6 53
11.General Discussion 55
12.Implication, Limitation and Future Research 58
12.1. Theoretical Implication 58
12.2. Practical Implication 60
12.3. Limitation and Future Research 61
12.4. Conclusions 61
13.References 63
Appendix A. Factor Stimuli of Study 1 74
Appendix B. Factor Stimuli of Study 2 76
Appendix C. Factor Stimuli of Study 3 78
著作權聲明 80
Alessandria, G., & Choi, H. (2007). Do sunk costs of exporting matter for net export dynamics? The Quarterly Journal of Economics, 122(1), 289-336.

Arkes, H. R., & Blumer, C. (1985). The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35(1), 124-140.

Arora, S., & Sahney, S. (2018). Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework. Journal of Consumer Marketing, 35(4), 438-450.

Arora, S., & Sahney, S. (2019). Examining consumers’ webrooming behavior: an integrated approach. Marketing Intelligence & Planning.

Balakrishnan, A., Sundaresan, S., & Zhang, B. (2014). Browse‐and‐switch: Retail‐online competition under value uncertainty. Production and Operations Management, 23(7), 1129-1145.

Bansal, H. S., & Taylor, S. F. (2002). Investigating interactive effects in the theory of planned behavior in a service‐provider switching context. Psychology & Marketing, 19(5), 407-425.

Bansal, H. S., Taylor, S. F., & St. James, Y. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115.

Barwitz, N., & Maas, P. (2018). Understanding the Omnichannel customer journey: determinants of interaction choice. Journal of Interactive Marketing, 43, 116-133.

Basak, S., Basu, P., Avittathur, B., & Sikdar, S. (2017). A game theoretic analysis of multichannel retail in the context of “showrooming”. Decision Support Systems, 103, 34-45.

Besharat, A., Ladik, D. M., & Carrillat, F. A. (2014). Are maximizers blind to the future? When today’s best does not make for a better tomorrow. Marketing Letters, 25(1), 77-91.

Bhatnagar, A., & Syam, S. S. (2014). Allocating a hybrid retailer's assortment across retail stores: Bricks-and-mortar vs online. Journal of Business Research, 67(6), 1293-1302.

Breugelmans, E., & Campo, K. (2016). Cross-channel effects of price promotions: An empirical analysis of the multi-channel grocery retail sector. Journal of Retailing, 92(3), 333-351.

Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of Consumer Research, 1-16.

Bruine de Bruin, W., Dombrovski, A. Y., Parker, A. M., & Szanto, K. (2016). Late‐life depression, suicidal ideation, and attempted suicide: The role of individual differences in maximizing, regret, and negative decision outcomes. Journal of Behavioral Decision Making, 29(4), 363-371.

Carrillat, F. A., Ladik, D. M., & Legoux, R. (2011). When the decision ball keeps rolling: An investigation of the Sisyphus effect among maximizing consumers. Marketing Letters, 22(3), 283-296.

Chang, H. H., Wong, K. H., & Li, S. Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications, 24, 50-67.

Chen, K. J., Kim, J., & Lin, J. S. (2015). The effects of affective and cognitive elaborations from Facebook posts on consumer attitude formation. Journal of Consumer Behaviour, 14(3), 208-218.

Chiu, H.-C., Hsieh, Y.-C., Roan, J., Tseng, K.-J., & Hsieh, J.-K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268-277.

Chou, S.-Y., Shen, G. C., Chiu, H.-C., & Chou, Y.-T. (2016). Multichannel service providers' strategy: Understanding customers' switching and free-riding behavior. Journal of Business Research, 69(6), 2226-2232.

Chou, Y.-C., Chuang, H. H.-C., & Shao, B. B. (2016). The impact of e-retail characteristics on initiating mobile retail services: A modular innovation perspective. Information & Management, 53(4), 481-492.

Chowdhury, T. G., Ratneshwar, S., & Mohanty, P. (2009). The time-harried shopper: Exploring the differences between maximizers and satisficers. Marketing Letters, 20(2), 155-167.

Dahana, W. D., Shin, H., & Katsumata, S. (2018). Influence of individual characteristics on whether and how much consumers engage in showrooming behavior. Electronic Commerce Research, 18(4), 665-692.

Dar-Nimrod, I., Rawn, C. D., Lehman, D. R., & Schwartz, B. (2009). The maximization paradox: The costs of seeking alternatives. Personality and Individual Differences, 46(5-6), 631-635.

Dholakia, U. M., Kahn, B. E., Reeves, R., Rindfleisch, A., Stewart, D., & Taylor, E. (2010). Consumer behavior in a multichannel, multimedia retailing environment. Journal of Interactive Marketing, 24(2), 86-95.

Fang, J., Wen, C., George, B., & Prybutok, V. R. (2016). Consumer heterogeneity, perceived value, and repurchase decision-making in online shopping: the role of gender, age, and shopping motives. Journal of Electronic Commerce Research, 17(2), 116.

Fernández, N. V., Pérez, M. J. S., & Vázquez-Casielles, R. (2018). Webroomers versus showroomers: Are they the same? Journal of Business Research, 92, 300-320.

Flavián, C., Gurrea, R., & Orús, C. (2016). Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour, 15(5), 459-476.

Flavián, C., Gurrea, R., & Orús, C. (2019). Feeling Confident and Smart with Webrooming: Understanding the Consumer's Path to Satisfaction. Journal of Interactive Marketing, 47, 1-15.

Forman, C., Ghose, A., & Goldfarb, A. (2009). Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Science, 55(1), 47-57.

Frasquet, M., Mollá, A., & Ruiz, E. (2015). Identifying patterns in channel usage across the search, purchase and post-sales stages of shopping. Electronic Commerce Research and Applications, 14(6), 654-665.

Gensler, S., Neslin, S. A., & Verhoef, P. C. (2017). The showrooming phenomenon: it's more than just about price. Journal of Interactive Marketing, 38, 29-43.

Grabner-Kraeuter, S. (2002). The role of consumers' trust in online-shopping. Journal of Business Ethics, 39(1-2), 43-50.

Grewal, D., Janakiraman, R., Kalyanam, K., Kannan, P., Ratchford, B., Song, R., & Tolerico, S. (2010). Strategic online and offline retail pricing: a review and research agenda. Journal of Interactive Marketing, 24(2), 138-154.

Gummerus, J., Liljander, V., Pura, M., & Van Riel, A. (2004). Customer loyalty to content-based web sites: the case of an online health-care service. Journal of Services Marketing, 18(3), 175-186.

Heitz-Spahn, S. (2013). Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories. Journal of Retailing and Consumer Services, 20(6), 570-578.

Herhausen, D., Binder, J., Schoegel, M., & Herrmann, A. (2015). Integrating bricks with clicks: retailer-level and channel-level outcomes of online–offline channel integration. Journal of Retailing, 91(2), 309-325.

Highhouse, S. E., Diab, D. L., & Gillespie, M. A. (2008). Are maximizers really unhappy? The measurement of maximizing tendency. Judgment and Decision Making Journal, 3(5), 364.

Hsieh, J.-K., Hsieh, Y.-C., Chiu, H.-C., & Feng, Y.-C. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push–pull–mooring framework. Computers in Human Behavior, 28(5), 1912-1920.

Hu, M., Rabinovich, E., & Hou, H. (2015). CUSTOMERS COMPLAINTS IN ONLINE SHOPPING: THE ROLE OF SIGNAL CREDIBILITY. Journal of Electronic Commerce Research, 16(2).

Iyengar, S. S., Wells, R. E., & Schwartz, B. (2006). Doing better but feeling worse: Looking for the “best” job undermines satisfaction. Psychological Science, 17(2), 143-150.

Jing, B. (2018). Showrooming and webrooming: Information externalities between online and offline sellers. Marketing Science, 37(3), 469-483.

Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259-274.

Jung, J., Han, H., & Oh, M. (2017). Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework. Tourism Management, 59, 139-153.

Karimi, S., Papamichail, K. N., & Holland, C. P. (2015). The effect of prior knowledge and decision-making style on the online purchase decision-making process: A typology of consumer shopping behaviour. Decision Support Systems, 77, 137-147.

Karson, E. J., & Fisher, R. J. (2005). Reexamining and extending the dual mediation hypothesis in an on‐line advertising context. Psychology & Marketing, 22(4), 333-351.

Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792.

Kim, K., & Miller, E. G. (2017). Vulnerable maximizers: The role of decision difficulty. Judgment & Decision Making, 12(5).

Kumar, V., Anand, A., & Song, H. (2017). Future of retailer profitability: An organizing framework. Journal of Retailing, 93(1), 96-119.

Kushwaha, T., & Shankar, V. (2013). Are multichannel customers really more valuable? The moderating role of product category characteristics. Journal of Marketing, 77(4), 67-85.

Kwak, J., & Park, J. (2012). Effects of a regulatory match in sunk-cost effects: A mediating role of anticipated regret. Marketing Letters, 23(1), 209-222.

Lai, L. (2010). Maximizing without difficulty: A modified maximizing scale and its correlates. Judgment and Decision making, 5(3), 164.

Lai, L. (2011). Maximizing and customer loyalty: Are maximizers less loyal? Judgment and Decision making, 6(4), 307–313.

Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47-57.

Li, Y., Liu, H., Lim, E. T., Goh, J. M., Yang, F., & Lee, M. K. (2018). Customer's reaction to cross-channel integration in omnichannel retailing: The mediating roles of retailer uncertainty, identity attractiveness, and switching costs. Decision Support Systems, 109, 50-60.

Liu, W., Batra, R., & Wang, H. (2017). Product touch and consumers’ online and offline buying: the role of mental representation. Journal of Retailing, 93(3), 369-381.

Long, M., & McMellon, C. (2004). Exploring the determinants of retail service quality on the Internet. Journal of services marketing, 18(1), 78-90.

Lu, Y., Cao, Y., Wang, B., & Yang, S. (2011). A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27(1), 355-364.

Luan, M., Fu, L., & Li, H. (2018). Do maximizers maximize for others? Self-other decision-making differences in maximizing and satisficing. Personality and Individual Differences, 121, 52-56.

Ma, J. (2016). Does greater online assortment pay? An empirical study using matched online and catalog shoppers. Journal of Retailing, 92(3), 373-382.
Ma, J., & Roese, N. J. (2014). The maximizing mindset. Journal of Consumer Research, 41(1), 71-92.

Mao, W. (2016). When one desires too much of a good thing: The compromise effect under maximizing tendencies. Journal of Consumer Psychology, 26(1), 66-80.

Mathmann, F., Chylinski, M., de Ruyter, K., & Higgins, E. T. (2017). When plentiful platforms pay off: Assessment orientation moderates the effect of assortment size on choice engagement and product valuation. Journal of Retailing, 93(2), 212-227.

McQuitty, S., & Peterson, R. T. (2000). Selling home entertainment on the Internet: an overview of a dynamic marketplace. Journal of Consumer Marketing, 17(3), 233-248.

Mehra, A., Kumar, S., & Raju, J. S. (2017). Competitive strategies for brick-and-mortar stores to counter “showrooming”. Management Science, 64(7), 3076-3090.

Melis, K., Campo, K., Breugelmans, E., & Lamey, L. (2015). The impact of the multi-channel retail mix on online store choice: does online experience matter? Journal of Retailing, 91(2), 272-288.

Mikkelson, A. C., & Pauley, P. M. (2013). Maximizing relationship possibilities: Relational maximization in romantic relationships. The Journal of Social Psychology, 153(4), 467-485.

Misuraca, R., Faraci, P., Gangemi, A., Carmeci, F. A., & Miceli, S. (2015). The Decision Making Tendency Inventory: A new measure to assess maximizing, satisficing, and minimizing. Personality and Individual Differences, 85, 111-116.

Misuraca, R., & Fasolo, B. (2018). Maximizing versus satisficing in the digital age: disjoint scales and the case for “construct consensus”. Personality and Individual Differences, 121, 152-160.

Misuraca, R., & Teuscher, U. (2013). Time flies when you maximize—Maximizers and satisficers perceive time differently when making decisions. Acta Psychologica, 143(2), 176-180.

Misuraca, R., Teuscher, U., & Carmeci, F. A. (2016). Who are maximizers? Future oriented and highly numerate individuals. International Journal of Psychology, 51(4), 307-311.

Morgenstern, O., & Von Neumann, J. (1953). Theory of games and economic behavior: Princeton university press.

Mussel, P., & Hewig, J. (2016). The life and times of individuals scoring high and low on dispositional greed. Journal of Research in Personality, 64, 52-60.
Navarro, A. D., & Fantino, E. (2009). The sunk‐time effect: An exploration. Journal of Behavioral Decision Making, 22(3), 252-270.

Nenkov, G. Y., Morrin, M., Schwartz, B., Ward, A., & Hulland, J. (2008). A short form of the Maximization Scale: Factor structure, reliability and validity studies. Judgment and Decision making, 3(5), 371-388.

Noble, S. M., Griffith, D. A., & Weinberger, M. G. (2005). Consumer derived utilitarian value and channel utilization in a multi-channel retail context. Journal of Business Research, 58(12), 1643-1651.

Odean, T. (1998). Are investors reluctant to realize their losses? The Journal of Finance, 53(5), 1775-1798.

Olivola, C. Y. (2018). The interpersonal sunk-cost effect. Psychological Science, 29(7), 1072-1083.

Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151-167.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of Retailing, 64(1), 12.

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.

Parker, A. M., De Bruin, W. B., & Fischhoff, B. (2007). Maximizers versus satisficers: Decision-making styles, competence, and outcomes. Judgment and Decision making, 2(6), 342.

Pauwels, K., Leeflang, P. S., Teerling, M. L., & Huizingh, K. E. (2011). Does online information drive offline revenues?: only for specific products and consumer segments! Journal of Retailing, 87(1), 1-17.

Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 105-136.

Peck, J., & Childers, T. L. (2003a). Individual differences in haptic information processing: The “need for touch” scale. Journal of Consumer Research, 30(3), 430-442.

Peck, J., & Childers, T. L. (2003b). To have and to hold: The influence of haptic information on product judgments. Journal of Marketing, 67(2), 35-48.

Peck, J., & Johnson, J. W. (2011). Autotelic need for touch, haptics, and persuasion: The role of involvement. Psychology & Marketing, 28(3), 222-239.

Peck, J., & Shu, S. B. (2009). The effect of mere touch on perceived ownership. Journal of Consumer Research, 36(3), 434-447.

Peck, J., & Wiggins, J. (2006). It just feels good: Customers’ affective response to touch and its influence on persuasion. Journal of Marketing, 70(4), 56-69.

Polman, E. (2010). Why are maximizers less happy than satisficers? Because they maximize positive and negative outcomes. Journal of Behavioral Decision Making, 23(2), 179-190.

Pookulangara, S., Hawley, J., & Xiao, G. (2011). Explaining consumers’ channel-switching behavior using the theory of planned behavior. Journal of Retailing and Consumer Services, 18(4), 311-321.

Purvis, A., Howell, R. T., & Iyer, R. (2011). Exploring the role of personality in the relationship between maximization and well-being. Personality and Individual Differences, 50(3), 370-375.

Rapp, A., Baker, T. L., Bachrach, D. G., Ogilvie, J., & Beitelspacher, L. S. (2015). Perceived customer showrooming behavior and the effect on retail salesperson self-efficacy and performance. Journal of Retailing, 91(2), 358-369.

Rim, H. B. (2017). Impacts of Maximizing Tendencies on Experience-Based Decisions. Psychological Reports, 120(3), 460-474.

Santos, S., & Gonçalves, H. M. (2019). Multichannel consumer behaviors in the mobile environment: Using fsQCA and discriminant analysis to understand webrooming motivations. Journal of Business Research.

Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010). Can there ever be too many options? A meta-analytic review of choice overload. Journal of Consumer Research, 37(3), 409-425.

Schmidt, J. B., & Calantone, R. J. (2002). Escalation of commitment during new product development. Journal of the Academy of Marketing Science, 30(2), 103-118.

Schwartz, B. (2016). On the meaning and measurement of maximization. Judgment and Decision making, 11(2), 126.

Schwartz, B., Ward, A., Monterosso, J., Lyubomirsky, S., White, K., & Lehman, D. R. (2002). Maximizing versus satisficing: Happiness is a matter of choice. Journal of Personality and Social Psychology, 83(5), 1178-1197.

Seuntjens, T. G., Zeelenberg, M., Van de Ven, N., & Breugelmans, S. M. (2015). Dispositional greed. Journal of Personality and Social Psychology, 108(6), 917.

Shiner, R. L. (2015). Maximizers, satisficers, and their satisfaction with and preferences for reversible versus irreversible decisions. Social Psychological and Personality Science, 6(8), 896-903.

Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.

Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129-146.

Simon, H. A. (1960). The new science of management decision.
Soman, D. (2001). The mental accounting of sunk time costs: Why time is not like money. Journal of Behavioral Decision Making, 14(3), 169-185.

Sparks, E. A., Ehrlinger, J., & Eibach, R. P. (2012). Failing to commit: Maximizers avoid commitment in a way that contributes to reduced satisfaction. Personality and Individual Differences, 52(1), 72-77.

Swaid, S. I., & Wigand, R. T. (2009). Measuring the quality of e-service: scale development and initial validation. Journal of Electronic Commerce Research, 10(1), 13-28.

Van Baal, S., & Dach, C. (2005). Free riding and customer retention across retailers’ channels. Journal of Interactive Marketing, 19(2), 75-85.

Van Bruggen, G. H., Antia, K. D., Jap, S. D., Reinartz, W. J., & Pallas, F. (2010). Managing marketing channel multiplicity. Journal of Service Research, 13(3), 331-340.

Venkatesan, R., Kumar, V., & Ravishanker, N. (2007). Multichannel shopping: causes and consequences. Journal of Marketing, 71(2), 114-132.

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181.

Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International Journal of Research in Marketing, 24(2), 129-148.

Vázquez‐Carrasco, R., & Foxall, G. R. (2006). Positive vs. negative switching barriers: the influence of service consumers' need for variety. Journal of Consumer Behaviour, 5(4), 367-379.

Weinhardt, J. M., Morse, B. J., Chimeli, J., & Fisher, J. (2012). An item response theory and factor analytic examination of two prominent maximizing tendency scales. Judgment & Decision Making.

Yoganathan, V., Osburg, V.-S., & Akhtar, P. (2019). Sensory stimulation for sensible consumption: Multisensory marketing for e-tailing of ethical brands. Journal of Business Research, 96, 386-396.

Zhang, J., Farris, P. W., Irvin, J. W., Kushwaha, T., Steenburgh, T. J., & Weitz, B. A. (2010). Crafting integrated multichannel retailing strategies. Journal of Interactive Marketing, 24(2), 168-180.

Zhang, K. Z., Cheung, C. M., & Lee, M. K. (2012). Online service switching behavior: the case of blog service providers. Journal of Electronic Commerce Research, 13(3), 184.

Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181-193.

Zhang, T., Ge, L., Gou, Q., & Chen, L. (2018). Consumer showrooming, the sunk cost effect and online-offline competition. Journal of Electronic Commerce Research, 19(1), 55-74.

Zhu, D., Li, X., Yang, S., & Xie, X. (2019). More accurate or less accurate: How does maximization orientation affect task completion predictions? Personality and Individual Differences, 137, 173-183.

Zimbardo, P. G., & Boyd, J. N. (2015). Putting time in perspective: A valid, reliable individual-differences metric. In Time perspective theory; review, research and application (pp. 17-55): Springer.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊