Cited by 104Personal Information Management and User BehaviorDecision-Making and Behavioral EconomicsDigital Marketing and Social Media

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Effects of Interruptions on Consumer Online Decision Processes

Xia, Lan, Sudharshan, D.·2002·Journal of Consumer Psychology

DOI 10.1207/s15327663jcp1203_08

Open this paper in CoChat — free account

Abstract

The growth of e‐commerce and its attendant new technology features has increased interactivity in consumer information processing and decision‐making processes. The pull and push of information can be both more personalized and more commonly used. The ease of pushing information may lead to interruptions in consumer information processing that are more pronounced than those experienced in non‐Internet environments. Our study investigated the impact of interruption frequency, timing, and content and the moderating effects of consumer knowledge, control, and goal type on time spent on the decision task as well as satisfaction with the decision process and the choice. Our results show that the right configuration of interruptions may lead to increased online viewing time, whereas ill‐designed interruptions may be detrimental.

Integrity signals

Registry

Crossref · 10.1207/s15327663jcp1203_08

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Attention and Effort
Egeth, H. E., & Kahneman, D. J. (1975) · The American Journal of Psychology · doi:10.2307/1421603 · Cited by 6,976
The relation of strength of stimulus to rapidity of habit formation
Yerkes, R. M., & Dodson, J. D. (1908) · Journal of Comparative Neurology and Psychology · doi:10.1002/cne.920180503 · Cited by 6,911
Defining virtual reality: Dimensions determining telepresence
Steuer, J. (1992) · Journal of Communication · doi:10.1111/j.1460-2466.1992.tb00812.x · Cited by 5,459
Customer Satisfaction, Market Share, and Profitability: Findings From Sweden
Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994) · Springer eBooks · doi:10.1007/978-3-031-88079-7_22 · Cited by 4,672
Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Decision making: A psychological analysis of conflict, choice, and commitment
(1978) · Evaluation and Program Planning · doi:10.1016/0149-7189(78)90042-3 · Cited by 3,956

Show all 41 references

Research works printed but not linked: 5

10.2307/1251788 · DOI
10.2307/1252310 · DOI
Howard John A., 1969, The theory of buyer behavior
Laird D.A., 1983, Psychology and human relations and work adjustment
10.2307/3150499 · DOI · Paper page

Sorted by citations

If not now, when?: the effects of interruption at different moments within task execution
Adamczyk, P. D., & Bailey, B. P. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985727 · Cited by 531
Toward an integrated framework for online consumer behavior and decision making process: A review
Darley, W. K., Blankson, C., & Luethge, D. J. (2010) · Psychology and Marketing · doi:10.1002/mar.20322 · Cited by 442
User experience, satisfaction, and continual usage intention of IT
Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010) · European Journal of Information Systems · doi:10.1057/ejis.2009.50 · Cited by 406
A Consumer Perspective of E-Service Quality
Zhang, X., & Prybutok, V. R. (2005) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2005.856568 · Cited by 296
The impact of consumer Internet experience on channel preference and usage intentions across the different stages of the buying process
Frambach, R. T., Roest, H. C. A., & Krishnan, T. V. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20079 · Cited by 302
Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising
Unni, R. M., & Harmon, R. R. (2007) · Journal of Interactive Advertising · doi:10.1080/15252019.2007.10722129 · Cited by 273
The effect of prior knowledge and decision-making style on the online purchase decision-making process: A typology of consumer shopping behaviour
Karimi, S., Papamichail, K. N., & Holland, C. P. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.06.004 · Cited by 303
Examining the relationships between online store atmospheric color, flow experience and consumer behavior
Ettis, S. A. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.03.007 · Cited by 231
Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective
Kohli, R., Devaraj, S., & Mahmood, M. A. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045796 · Cited by 203
Examining the effect of flow experience on online purchase: A novel approach to the flow theory based on hedonic and utilitarian value
Özkara, B. Y., Özmen, M., & Kim, J. W. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.04.001 · Cited by 202
The Impact of Service System Design and Flow Experience on Customer Satisfaction in Online Financial Services
Ding, X. D., Hu, P. J., Verma, R., & Wardell, D. G. (2009) · Journal of Service Research · doi:10.1177/1094670509350674 · Cited by 176
Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation
Huang, G.-H., Korfiatis, N., & Chang, C.-T. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2017.12.008 · Cited by 163
The attraction of personalized service for users in mobile commerce
Ho, S. Y., & Kwok, S. H. (2002) · ACM SIGecom Exchanges · doi:10.1145/844351.844354 · Cited by 151
Effects of content and time of delivery on receptivity to mobile interruptions
Fischer, J. E., Yee, N., Bellotti, V. M. E., Good, N., Benford, S., & Greenhalgh, C. (2010) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/1851600.1851620 · Cited by 155
Advertising benefits from ethical Artificial Intelligence algorithmic purchase decision pathways
Rodgers, W., & Nguyen, T. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05048-7 · Cited by 137
Focusing on Desirability: The Effect of Decision Interruption and Suspension on Preferences
Liu, W. J. (2008) · Journal of Consumer Research · doi:10.1086/592126 · Cited by 118
Testing a measure of cyberloafing.
Blau, G. J., Yang, Y., & Ward-Cook, K. (2006) · PubMed · Cited by 113
The impact of consumer archetypes on online purchase decision-making processes and outcomes: A behavioural process perspective
Karimi, S., Holland, C. P., & Papamichail, K. N. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.05.038 · Cited by 118
Online consumer shopping behaviour: A review and research agenda
Singh, K., & Basu, R. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12899 · Cited by 75
Interruption and Forgetting in Knowledge‐Intensive Service Environments
Froehle, C. M., & White, D. L. (2013) · Production and Operations Management · doi:10.1111/poms.12089 · Cited by 58
Persuasion, Interrupted: The Effect of Momentary Interruptions on Message Processing and Persuasion
Kupor, D. M., & Tormala, Z. L. (2015) · Journal of Consumer Research · doi:10.1093/jcr/ucv018 · Cited by 56
The Effect of Ad Customization and Ad Variation on Internet Users' Perceptions of Forced Multiple Advertising Exposures and Attitudes
Kim, N. (2018) · Journal of Interactive Advertising · doi:10.1080/15252019.2018.1460225 · Cited by 39
A Study of Consumer Switching Behavior Across Internet Portal Web Sites
Lee, S., Zufryden, F. S., & Drèze, X. (2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044271 · Cited by 39
Increasing Shopper Trust in Retailer Technological Interfaces via Auditory Confirmation
Reynolds-McIlnay, R., & Morrin, M. (2019) · Journal of Retailing · doi:10.1016/j.jretai.2019.10.006 · Cited by 44
A purchase decision-making process model of online consumers and its influential factor : a cross sector analysis
Karimi, S. (2013) · Research Explorer (The University of Manchester) · Cited by 38
Ai in e-learning: the affordance perspective
Zhang, J., Liu, Z., Lv, H., & Jiang, M. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2287660 · Cited by 38
Tempting Fate: Social Media Posts, Unfollowing, and Long-Term Sales
Wang, S. A., Greenwood, B. N., & Pavlou, P. A. (2020) · MIS Quarterly · doi:10.25300/misq/2020/15510 · Cited by 39
To hesitate or not to hesitate: Can popularity cues minimize the hesitation to checkout in e-commerce?
Wang, S., Lim, X., Luo, X., & Cheah, J. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103730 · Cited by 34
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning
Rissler, R., Nadj, M., Li, M. X., Loewe, N., Knierim, M. T., & Maedche, A. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3045269 · Cited by 37
Unleashing salesforce performance: The impacts of personal branding and technology in an emerging market
Amoako, G. K., & Okpattah, B. (2018) · Technology in Society · doi:10.1016/j.techsoc.2018.01.013 · Cited by 33
Personal Relevance Versus Contextual Relevance
Kim, N. Y., & Sundar, S. S. (2012) · Journal of Media Psychology Theories Methods and Applications · doi:10.1027/1864-1105/a000067 · Cited by 32
Enhanced Information Scent, Selective Discounting, or Consummate Breakdown: The Psychological Effects of Web-Based Search Results
Kalyanaraman, S., & Ivory, J. (2009) · Media Psychology · doi:10.1080/15213260903052232 · Cited by 31
When and How Multitasking Impacts Consumer Shopping Decisions
Atalay, A. S., Bodur, H. O., & Bressoud, É. (2016) · Journal of Retailing · doi:10.1016/j.jretai.2016.09.001 · Cited by 30
Factors Influencing Continuance Usage of Mobile Wallets in Indonesia
Azizah, N., Handayani, P. W., & Azzahro, F. (2018) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech.2018.8528157 · Cited by 28
Not Registered? Please Sign Up First: A Randomized Field Experiment on the Ex Ante Registration Request
Huang, N., Mojumder, P., Sun, T., Lv, J., & Golden, J. M. (2021) · Information Systems Research · doi:10.1287/isre.2021.0999 · Cited by 28
Conceptualizing a path-to-purchase framework and exploring its role in shopper segmentation
Jones, R. P., & Runyan, R. C. (2016) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-09-2015-0148 · Cited by 23
Cross-Industrial User Channel Preferences on the Path to Online Purchase: Homogeneous, Heterogeneous, or Mixed?
Becker, I., Linzmajer, M., & von Wangenheim, F. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1300076 · Cited by 23
Using surveytainment to counter declining survey data quality
Kostyk, A., Zhou, W., & Hyman, M. R. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.024 · Cited by 25
PERSONAL DETERMINANTS OF ONLINE SHOPPING FRUSTRATION AND ITS INFLUENCE ON CONSUMERS' POSITIVE WORD OF MOUTH
Román, S., & Riquelme, I. P. (2014) · Journal of electronic commerce research · Cited by 22
The Mediating Effect of Brand Trust Between Online Customer Reviews and Willingness to Buy
Cheng, V., Rhodes, J., & Lok, P. (2013) · Journal of Electronic Commerce in Organizations · doi:10.4018/jeco.2013010102 · Cited by 25
How mindset and store familiarity impact online stockout responses
Gunness, A., & Oppewal, H. (2020) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-02-2018-0034 · Cited by 21
Examining the Effect of Interruptions at Different Breakpoints and Frequencies Within a Task
Powers, S. A., & Scerbo, M. W. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211009010 · Cited by 20
Everyday Cross-session Search
Li, Y., Capra, R., & Zhang, Y. (2020) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3343413.3377970 · Cited by 19
The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance
Kim, N. Y. (2017) · Journal of Promotion Management · doi:10.1080/10496491.2017.1408528 · Cited by 18
Can't finish what you started? The effect of climactic interruption on behavior
Kupor, D. M., Reich, T., & Shiv, B. (2014) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.05.006 · Cited by 18
Exploring the Effects of Interruptions in Different Phases of Complex Decision-Making Tasks
Wu, M., Gao, Q., & Liu, Y. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211018882 · Cited by 19
Development of a guide for the visual assessment of the quality of clothing textile products
Retief, A., & Klerk, H. D. (2010) · Journal of Family Ecology and Consumer Sciences / Tydskrif vir Gesinsekologie en Verbruikerswetenskappe · doi:10.4314/jfecs.v31i1.52837 · Cited by 17
Valuing time: Moderate download times can improve online goal pursuit
Sellier, A. L., & Chattopadhyay, A. (2009) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2009.02.014 · Cited by 14
Understanding negotiated anti-malware interruption effects on user decision quality in endpoint security
Tan, M. K. S., Goode, S., & Richardson, A. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1734087 · Cited by 14
Effect of location-based advertising filtering mechanism in smart service
Shieh, C.-H., Ling, I.-L., Chen, Y. J., & Liu, Y.-F. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104113 · Cited by 12
The perceived moral qualities of web sites: implications for persuasion processes in human–computer interaction
Magee, R. G., & Kalyanaraman, S. (2009) · Ethics and Information Technology · doi:10.1007/s10676-009-9210-1 · Cited by 12
Advertising in Freemium Services: Lack of Control and Intrusion as the Price Consumers Pay
Riedel, A. S., Mulcahy, R. F., Beatson, A., & Weeks, C. S. (2024) · Journal of Advertising · doi:10.1080/00913367.2024.2393078 · Cited by 11
Determinants of e-consumer productivity in product retrieval on a commercial website: An experimental approach
Mimoun, M. S. B., Garnier, M., Ladwein, R., & Benavent, C. (2014) · Information & Management · doi:10.1016/j.im.2014.02.003 · Cited by 11
The Impact of App Crashes on Consumer Engagement
Shi, S. W., Lee, S., Kalyanam, K., & Wedel, M. (2024) · Journal of Marketing · doi:10.1177/00222429241304322 · Cited by 8
Understanding receptivity to interruptions in mobile human-computer interaction
Fischer, J. E. (2011) · Nottingham ePrints (University of Nottingham) · Cited by 8
Clues, Flow Channels, and Cognitive States: An Exploratory Study of Customer Experiences with e-Brokerage Services
Ding, X. D. (2011) · Service Science · doi:10.1287/serv.3.2.182 · Cited by 7
Enhancing information management through data mining analytics to increase product sales in an e-commerce platform
Kudyba, S. P., & Lawrence, K. D. (2008) · International Journal of Electronic Marketing and Retailing · doi:10.1504/ijemr.2008.019812 · Cited by 7
Consumer response to interruption features and need for cognitive closure
Niculescu, M., Payne, C. R., & Luna‐Nevarez, C. (2013) · Journal of Consumer Behaviour · doi:10.1002/cb.1459 · Cited by 7
Purchase Decision Processes in the Internet Age
Karimi, S., Papamichail, K. N., & Holland, C. P. (2014) · Lecture notes in business information processing · doi:10.1007/978-3-319-11364-7_6 · Cited by 6
Retail disturbances: how should employees respond?
Arndt, A. D., Poujol, J. F., & Siadou‐Martin, B. (2021) · European Journal of Marketing · doi:10.1108/ejm-05-2019-0414 · Cited by 6
The Duty to Draft Reasonably and Online Contracts
Kim, N. S. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139235662.012 · Cited by 6
The impact of disruptions on routinization of goal-directed grocery shopping behavior
Ong, A. (2011) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27587223 · Cited by 6
The role of privacy-related factors in consumer perceptions of smart advertising
Shieh, C.-H., Ling, I.-L., & Liu, Y.-F. (2024) · Journal of Service Theory and Practice · doi:10.1108/jstp-11-2022-0252 · Cited by 5
Measuring the Perceived Clutter of Websites
Lewis, J. R., & Sauro, J. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2359205 · Cited by 5
Goal Abstraction, Goal Linkage Dependency, and Perceived Utilitarian Value of Information Systems
Matook, S., & van der Heijden, H. (2013) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2013040103 · Cited by 5
Data Elicitation for Continuous Awareness of Team Climate Characteristics to Improve Organizations Creativity
Nierhoff, J., & Herrmann, T. A. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.024 · Cited by 5
WHAT INFLUENCES BUSINESS TRAVELERS BEHAVIORAL INTENTIONS OF TRAVEL BOOKING: A STUDY OF THE BOTTLENECKS OF ONLINE TRAVEL PORTALS
Datta, B. (2021) · GeoJournal of Tourism and Geosites · doi:10.30892/gtg.37326-728 · Cited by 5
Search Fatigue, Choice Deferral, and Closure
Ning, Z. E., Villas‐Boas, J. M., & Yao, Y. (2025) · Marketing Science · doi:10.1287/mksc.2023.0275 · Cited by 4
This article is… Consumer reactions to unfinished teasers for digital content
Mandler, T., Cziehso, G. P., Schaefers, T., Kupfer, A.-K., & Mafael, A. (2024) · Psychology and Marketing · doi:10.1002/mar.22098 · Cited by 4
Break the flow: the impact of interruptions on users’ decision efficiency in mobile shopping
Yang, X., Luo, C., & Yan, M. (2024) · Electronic Commerce Research · doi:10.1007/s10660-023-09800-7 · Cited by 4
Interruption in Digital Convergence: Focused on Multi-Modality and Multi-Tasking
이기호, 정승기, 김혜진, Lee, I., & 김진우 (2007) · Journal of the Ergonomics Society of Korea · doi:10.5143/jesk.2007.26.3.067 · Cited by 4
Looks familiar, appears more valid? The moderating role of computer-supported warnings between information repetition and decision outcome
Huang, H., & Kuo, M.-C. (2015) · Behaviour and Information Technology · doi:10.1080/0144929x.2015.1069397 · Cited by 4
Telepresence, Flow, and Behaviour in the Virtual Retail Environment
Ettis, S. A. (2013) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-4666-4566-0.ch009 · Cited by 3
Creating Order: The Role of Heuristics in Website Selection
Spievak, E. R., & Hayes-Bohanan, P. (2016) · Internet Reference Services Quarterly · doi:10.1080/10875301.2016.1149541 · Cited by 3
Does Impulsive Posting Hurt or Help? The Effects of Conflicting Online Information on Attitude Uncertainty and Behavioural Consequences: The Moderating Role of Peer Social Network Support
Techinakarawin, T., & Sun, J. (2023) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer18010031 · Cited by 3
Pratiques communicationnelles durables : interrogation sur la transposabilité d’un concept
Marcon, C. (2015) · Revue de l’Université de Moncton · doi:10.7202/1029300ar · Cited by 3
EEG Patterns Analysis in the Process of Recovery from Interruptions
Rejer, I., & Jankowski, J. (2016) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-26227-7_55 · Cited by 3
The Effects of Location-based Mobile Marketing between Push and Pull on Usage Intentions
Shieh, C.-H., & Hsieh, I. J. (2016) · Journal of Advances in Information Technology · doi:10.12720/jait.7.2.134-139 · Cited by 3
Shopper Value: A Framework and Examination of the Impact of Importance, Shopping Context and Shopping Social Situation
Jones, R. P. (2012) · Cited by 3
Omni-channel banking in context to customer satisfaction and loyalty along the financial services process
Menrad, M. (2021) · doi:10.54598/001450 · Cited by 3
Determinanten und Wirkungen der wahrgenommenen Aufdringlichkeit von E-Newslettern bei Konsumenten
Mann, A., & Barkhof, A. (2019) · Springer eBooks · doi:10.1007/978-3-658-25583-1_10 · Cited by 2
Improving Consumer Performance and Perceived Service Quality in a New Type of Commercial Environment in 3D, Thanks to Embodied Virtual Sales Agents
Slim, B. M. M., Garnier, M., & Poncin, I. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-3954-6.ch014 · Cited by 2
Managing interruptions: The role of fit between task demands and capacity
Gong, B. (2007) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 2
How Do Digital Business Professionals Manage Work Interruptions? A Pilot Study on Coping Strategies
Stangl, F. J., Seiler, V., & Riedl‬, R. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-92826-0_13 · Cited by 2
From Paper to Pixels: Challenges and Research Opportunities for Designing Electronic Financial Disclosures
Salisbury, L. C., Middlewood, B., Chin, A., & Harvey, J. (2026) · Journal of Public Policy & Marketing · doi:10.1177/07439156261448501 · Cited by 1
Consumer Product Search and the Decision between Intermediary and Supplier Online Shops
Matt, C. (2012) · doi:10.7892/boris.105368 · Cited by 1
Asserting your mind: Interruptions extremize consumer choices
Pang, Y., Wang, L., You, Y., & Ding, Y. (2023) · Journal of Consumer Behaviour · doi:10.1002/cb.2152 · Cited by 2
When interruptions can boost sales: An on‐line versus memory‐based perspective
Xu, L., Niculescu, M., & Hyman, M. R. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12941 · Cited by 1
The art of mistiming: How interruptions make mobile coupon campaigns effective
Banerjee, S., & Rishika, R. (2015) · Journal of Direct Data and Digital Marketing Practice · doi:10.1057/dddmp.2015.43 · Cited by 1
Estudio de la intrusividad percibida como moderador de la evasión publicitaria en redes sociales
Rejón‐Guardia, F. (2011) · doi:10.30827/digibug.17381 · Cited by 1
The utilization of data mining analytics to enhance the return on investment of online document repositories
Kudyba, S. P., Ananyan, S. M., & Lawrence, K. D. (2004) · Journal of the Association for Information Systems
The influence of mental maps and cognitive load on decision making effectiveness
Weperen, V. H. H. (2014)
We interrupt this story: examining the effects of interruptions on processing of online news
Smith, J. E. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/ggx4-p943
Getting Interrupted? Design Support Strategies for Learning Success in M-Learning Applications
Bhandari, U., & Chang, K. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58559-8_4
Soziotechnisch verstetigte Erhebung zur Dynamik der Kreativitätsförderung im Arbeitskontext
Nierhoff, J., & Herrmann, T. A. (2017) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-017-0084-5
Tüketicilerin Risk Algısı ve Tüketici Şüpheciliği Arasındaki İlişki: Batman İlinde Yapılan Bir Araştırma
KILINÇ, F. U. K. (2020) · Turkish Studies - Economics Finance Politics · doi:10.47644/turkishstudies.42000
Customer Segmentation: SMPI Model
Dash, M. K., Sahu, M. K., Bhattacharyya, J., & Sakshi, S. (2023) · Springer eBooks · doi:10.1007/978-981-19-3593-0_4
Determining the Decision-Making Style of Online Buyers (Case Study: Kowsar Isfahan Store)
Kojani, M. R., Ashtiani, P. G., Sadeh, E., & Hosseini, M. G. (2024) · doi:10.61838/kman.ijimob.4.1.19
Guest editorial for special issue on consumer decision‐making in an online context
Siamagka, N., & Boutsouki, C. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2381
Research on factors influencing user experience in the digital presentation of intangible cultural heritage in museumsPreprint
Lian, T., & Zhu, Q. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6412575

Authors: Xia, L., & Sudharshan, D.
Affiliations: University of Illinois Urbana-Champaign (US)
Corresponding author: Xia, Lan
ORCID: Xia, Lan
Venue: Journal of Consumer Psychology
Publisher: Wiley
Published: 2002-01
Volume: 12
Issue: 3
Pages: 265-280
ISSN: 1057-7408 (ISSN-L)
1532-7663
DOI: 10.1207/s15327663jcp1203_08
OpenAlex: W2037955894
Cited by: 98
References: 41
Citations by year: 2026: 3 · 2025: 2 · 2024: 9 · 2023: 6 · 2022: 1 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 6 · 2017: 7 · 2016: 5 · 2015: 5 · 2014: 5 · 2013: 7 · 2012: 4
FWCI: 5.56
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 2215 d)
Locations: Journal of Consumer Psychology (publishedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Keywords: interruptions, online decision making, consumer information processing, e-commerce, consumer knowledge, perceived control, goal types, decision satisfaction, viewing time

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Effects of Interruptions on Consumer Online Decision Processes

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks