Abstract
This study examines the joint effects of interactivity, task complexity, and product knowledge on customers’ online purchase decision quality. Interactivity is defined as the extent to which users can participate in modifying the form and content of a mediated environment in real-time. For example, users sort products on a website based on certain criteria (e.g., price). An experiment with 264 participants was conducted to test the hypotheses. The results suggest that interactivity and task complexity jointly affect customers’ online purchase decision quality. When customers perform a complex task, interactivity reduces the cognitive resources needed to perform the task and thus improves customers’ decision quality. However, when customers perform a simple task, interactivity worsens the mismatch between the cognitive resources available and what is required, leading to deteriorated decision quality. Similarly, product knowledge and task complexity interact to influence customers’ decision quality. Product knowledge improves decision quality when customers perform a complex task, whereas it results in deteriorated decision quality when customers perform a simple task. In addition, interactivity interacts with product knowledge to affect customers’ intention to revisit the website. Specifically, interactivity has a stronger effect on customers’ intention to revisit the website when the customer has more product knowledge.
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Notes
The 8 levels of the attributes for Price are: (1) $104.99, (2) $129.99, (3) $154.99, (4) $179.99, (5) $204.99, (6) $229.99, (7) $254.99, and (8) $279.99, respectively.
The 6 levels of the attributes for Resolution are: (1) 12 MP, (2) 10 MP, (3) 8 MP, (4) 7 MP, (5) 6 MP, (6) 5 MP, respectively.
The 3 levels of the attributes for Zoom are: (1) 5X, (2) 4X, and (3) 3X, respectively.
The 5 levels of the attributes for Display size are: (1) 3", (2) 2.7", (3) 2.5", (4) 2.4", and (5) 2", respectively.
The 3 levels of the attributes for Condition are: (1) New, (2) Refurbished, and (3) Used, respectively.
The 2 levels of the attributes for Free shipping are: (1) Yes, and (2) No, respectively.
The numbers in parentheses represent the level ranking of the associated attribute. For example, if a camera has the lowest price, the level ranking of the price attribute for this camera would be 1.
The results were not changed if we remove the covariate variables.
References
Anand P, Sternthal B (1989) Strategies for designing persuasive messages: deductions from the resource matching hypothesis. In: Cafferata P, Tybout AM (eds) Cognitive and affective responses to advertising. Lexington Books, Lexington, pp 135–159
Anon (2014) Customer retention should outweigh customer acquisition. ReSci. https://www.retentionscience.com/blog/customer-retention-should-outweigh-customer-acquisition/. Accessed 22 Sept 2019
Bezjian-Avery A, Calder B, Lacobucci D (1998) New media interactive advertising vs. traditional advertising. J Advert Res 38(94):23–32
Cowley E, Mitchell AA (2003) The moderating effect of product knowledge on the learning and organization of product information. J Consum Res 30(3):443–454
Coyle JR, Thorson E (2001) The effects of progressive levels of interactivity and vividness in web marketing sites. J Advert 30(3):65–77
Cyr D, Head M, Ivanov A (2009) Perceived interactivity leading to E-loyalty: development of a model for cognitive-affective user responses. Int J Hum Comput Stud 67(10):850–869
Dholakia RR, Zhao M (2009) Retail web site interactivity: how does it influence customer satisfaction and behavioral intentions? Int J Retail Distrib Manag 37(10):821–838
Fan L, Liu X, Wang B, Wang L (2017) Interactivity, engagement, and technology dependence: understanding users’ technology utilisation behaviour. Behav Inf Technol 36(2):113–124
Fiore AM, Jin HJ, Kim J (2005) For fun and profit: hedonic value from image interactivity and responses toward an online store. Psychol Market 22(8):669–694
Fortin DR, Dholakia RR (2005) Interactivity and vividness effects on social presence and involvement with a web-based advertisement. J Bus Res 58(3):387–396
Gao Q, Rau PLP, Salvendy G (2010) Measuring perceived interactivity of mobile advertisements. Behav Inf Technol 29(1):35–44
Ghose S, Dou W (1998) Interactive functions and their impacts on the appeal of internet presence sites. J Advert Res 38:29–44
Häubl G, Trifts V (2000) Consumer decision making in online shopping environments: the effects of interactive decision aids. Mark Sci 19(1):4–21
Hoffman DL, Novak TP (1996) Marketing in hypermedia computer-mediated environments: conceptual foundations. J Mark 60:50–68
Jae H, DelVecchio DS, Childers TL (2011) Are low-literate and high-literate consumers different? Applying resource-matching theory to ad processing across literacy levels. J Consum Psychol 21(3):312–323
Jee J, Lee WN (2002) Antecedents and consequences of perceived interactivity: an exploratory study. J Interact Advert 3(1):27–43
Jiang Z, Benbasat I (2007) The effects of presentation formats and task complexity on online consumers’ product understanding. MIS Q 31(3):475–500
Jiang Z, Benbasat I (2007) Investigating the influence of the functional mechanisms of online product presentations. Inf Syst Res 18(4):454–470
Johnson GJ, Bruner GC II, Kumar A (2006) Interactivity and its facets revisited: theory and empirical test. Journal of Advertising 35(4):35–52
Kamis A, Koufaris M, Stern T (2008) Using an attribute-based decision support system for user-customized products online: an experimental investigation. MIS Q 32(1):159–177
Ku EC, Chen CD (2015) Cultivating travellers’ revisit intention to e-tourism service: the moderating effect of website interactivity. Behav Inf Technol 34(5):465–478
Lee T (2005) The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. J Electron Commer Res 6(3):165–180
Lee D, Moon J, Kim YJ, Mun YY (2015) Antecedents and consequences of mobile phone usability: linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Inf Manag 52(3):295–304
McKechnie S, Nath P (2016) Effects of new-to-market e-store features on first time browsers. Int J Hum Comput Stud 90:14–26
Merrilees B, Fry ML (2003) E-trust: the influence of perceived interactivity on E-retailing users. Mark Intell Plan 21(2):123–128
Olshavsky RW (1979) Task complexity and contingent processing in decision making: a replication and extension. Organ Behav Hum Perform 24(3):300–316
Olson EL, Widing RE (2002) Are interactive decision aids better than passive decision aids? A comparison with implications for information providers on the internet. J Interact Mark 16(2):22–33
Park CW, Moon BJ (2003) The relationship between product involvement and product knowledge: moderating roles of product type and product knowledge type. Psychol Mark 20(11):977–997
Payne JW (1976) Task complexity and contingent processing in decision making: an information search and protocol analysis. Organ Behav Hum Perform 16(2):366–387
Payne JW, Bettman JR, Johnson EJ (1988) Adaptive strategy selection in decision making. J Exp Psychol Learn Mem Cogn 14(3):534–552
Payne JW, Bettman JR, Johnson EJ (1992) Behavioral decision research: a constructive processing perspective. Annu Rev Psychol 43:87–131
Rafaeli S (1988) Interactivity: from new media to communication. In: Hawkins R, Wiemann J, Pingree S (eds) Sage annual review of communication research: advancing communication science, vol 16. Sage, Beverly Hills, pp 110–134
Rafaeli S, Sudweeks F (1997) Networked interactivity. J Comput Mediat Commun [online], 2(4). http://www.usc.edu/dept/annenberg/vol2/issue4/rafaeli.sudweeks.html. Accessed 20 June 2004
Rao AR, Monroe KB (1988) The moderating effect of prior knowledge on cue utilization in product evaluations. J Consum Res 15(2):253–264
Shiloh S, Koren S, Zakay D (2001) Individual differences in compensatory decision-making style and need for closure as correlates of subjective decision complexity and difficulty. Personal Individ Differ 30(4):699–710
Pfeiffer J, Vogel F, Stumpf S, Kiltz C (2010) A theory-based approach for a modular system of interactive decision aids. In: Proceedings of the sixteenth Americas conference on information systems, Lima, Peru
Swait J, Adamowicz W (2001) The influence of task complexity on consumer choice: a latent class model of decision strategy switching. J Consum Res 28(1):135–148
Park M, Park J (2009) Exploring the influences of perceived interactivity on consumers’e-shopping effectiveness. J Cust Behav 8(4):361–379
Peracchio LA, Meyers-Levy J (1997) Evaluating persuasion-enhancing techniques from a resource-matching perspective. J Consum Res 24(2):178–191
Skitka LJ, Mosier KL, Burdick M (1999) Does automation bias decision-making? Int J Hum Comput Stud 51(5):991–1006
Speier C, Vessey I, Valacich JS (2003) The effects of interruptions, task complexity, and information presentation on computer-supported decision-making performance. Decis Sci 34(4):771–797
Steuer J (1992) Defining virtual reality: dimensions determining telepresence. J Commun 42(4):73–93
Stewart DW, Pavlou PA (2002) From consumer response to active consumer: measuring the effectiveness of interactive media. J Acad Mark Sci 30(4):376–396
Sweller J (1988) Cognitive load during problem solving: effects on learning. Cogn Sci 12:257–285
Sweller J (1994) Cognitive load theory, learning difficulty, and instructional design. Learn Instr 4(4):295–312
Sweller J (2011) Cognitive load theory. Psychol Learn Motiv 55:37–76
Tan CH, Teo HH, Benbasat I (2010) Assessing screening and evaluation decision support systems: a resource-matching approach. Inf Syst Res 21(2):305–326
Wood RE (1986) Task complexity: definition of the construct. Organ Behav Hum Decis Process 37(1):60–82
Wu G (2005) The mediating role of perceived interactivity in the effect of actual interactivity on attitude toward the website. J Interact Advert 5(2):29–39
Xu J, Benbasat I, Cenfetelli RT (2014) The influences of online service technologies and task complexity on efficiency and personalization. Inf Syst Res 25(2):420–436
Xu Q, Sundar SS (2016) Interactivity and memory: information processing of interactive versus non-interactive content. Comput Hum Behav 63:620–629
Yadav MS, Varadarajan R (2005) Interactivity in the electronic marketplace: an exposition of the concept and implications for research. J Acad Mark Sci 33(4):585–603
Yoo B, Donthu N (2001) Developing and validating a multidimensional consumer-based brand equity scale. J Bus Res 52(1):1–14
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Tang, F. The more interactivity the better? Investigating interactivity, task complexity, and product knowledge in online purchase decisions. Inf Technol Manag 21, 179–189 (2020). https://doi.org/10.1007/s10799-020-00316-2
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DOI: https://doi.org/10.1007/s10799-020-00316-2