Consumers' decision-making process and their online shopping behavior: a clickstream analysis

Sénécal, Sylvain; Kalczyński, Paweł Jan; Nantel, Jacques

doi:10.1016/j.jbusres.2004.06.003

Cited by 146 publications

(76 citation statements)

References 30 publications

(31 reference statements)

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“…Furthermore, online interaction paths as well as the relative share ceived and correctly recognized. Interestingly, any of the eight testers clicked on VIBE without exterof traffic at each node are visualized (Senecal, Kalczynski, & Nantel, 2005). The findings are nal help.…”

Section: Suite Systemmentioning

confidence: 93%

Constraint-Based Recommendation in Tourism: A Multiperspective Case Study

Jannach¹,

Zanker²,

Fuchs³

2009

Information Technology & Tourism

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In many business-to-consumer (B2C) e-commerce scenarios, recommender systems (RS) have been shown to be valuable tools both for the online customer and the merchant. Such systems help customers find interesting items in large product assortments, increasing the chance of immediate online purchases and fostering long-term customer loyalty. However, standard technologies from classical RS application domains such as books and movies cannot be directly adopted in the tourism domain. This article presents a case study of a constraint-based RS that was integrated into a travel advisory system for an Austrian spa resort. The study analyzes the system and its environment from three perspectives. First, technological aspects of system development and maintenance are discussed; second, corresponding to the supplier's view, the end user's perspective is analyzed based on the findings of a study of the system's usability and the perceived customer utility. Finally, the effectiveness of the system's ability to positively affect user behavior is evaluated and discussed. The findings show that constraint-based RS not only help positively influence tourist behavior, but such systems can be built cost-effectively when using appropriate knowledge acquisition and maintenance tools.

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Section: Suite Systemmentioning

confidence: 93%

Constraint-Based Recommendation in Tourism: A Multiperspective Case Study

Jannach¹,

Zanker²,

Fuchs³

2009

Information Technology & Tourism

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“…Finally, the researcher is supposed to convey the crucial ideal and simple improved projects through built analytic model. Hence, ISM has been described as an innovative approach with the elements of effective analytic system, as well as a useful technology with quantitative aid (Senecal, Kalczynski, & Nantel, 2005). ISM, a quantitative approach, applied the relationship among different types of elements to reform into relation hierarchy graph accounted for by Warfield (1974).…”

Section: Interpretive Structural Modelmentioning

confidence: 99%

How to Evaluate the Performance of the Taiwan Biotech and Biopharmaceutical Corporations?

Tong¹

2015

IBR

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Modern biotechnology and pharmaceutical industry, the most developmental mainstream, has been generally acknowledged in the 21 st century. The approach of this study surmounted the traditional DEA and SFA, combining with modified Delphi approach, ISM, FANP and performance evaluation table to build evaluation mode of operating performance precisely and completely in Taiwan biotech and pharmaceutical corporations. Considering 4 criteria and 18 sub-criteria complied to evaluate the operating performance in the enterprise. The analyzed result appeared, the significance of criteria is "Product and technology R&D", "Financial performance", "Production and quality management" and "Organization characteristics and operation management" in sequence. The top 5 key sub-criteria influence the evaluation of operating performance in Taiwan biotech and pharmaceutical corporations are "Profitability", "Efficiency of production and cost", "Innovative products and R&D strategies", "Quality management and cost control" and "Operation strategy and business mode". The last 5 key sub-criteria are "Human resources management", "Project management", "Innovation of process technology", "Competence of financial operation" and "Market share". Finally, the top 10 of conglomerate revenue in listed companies taken as the sample of empirical research on this study. According to the experts" evaluation, the total point of weighted average is 58.9020 of whole sample in complete period in all enterprises, which fell at the grade of "Slightly good" as a whole. The related results accord with the real situation in the industry. The result of this study is able to be a significant basis as the policies drawn up by government, operating performance evaluated by the enterprise and investment target measured by the investors.

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“…First, although the proportion of time spent in informational dead ends as well as downloading time to and from those informational dead ends explained a good portion of task completion variance, other determinants of task completion need to be identified. Specifically, recently introduced clickstream complexity measures such as linearity and compactness may influence consumers' task completion (Senecal, Kalczynski, and Nantel 2005). Second, although various reasons explain why consumers have abandoned their task, the concepts of frustration and/or satisfaction need to be further investigated in order to better understand what consumers experience while shopping online (Szymanski and Hise 2000).…”

Section: The Effect Of Counterproductive Time On Online Task Completionmentioning

confidence: 99%

The effect of counterproductive time on online task completion

Nantel

Sénécal

2009

IJIMA

Self Cite

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The objective of this study was to investigate how counterproductive time spent on a website affects consumers' online task completion. Two hundred and twenty-eight consumers were asked to perform a task on determined websites. Verbal protocols and clickstream data were collected. Results of Study 1 showed that the time spent waiting for pages to download had no effect on task completion, but that the time lost on pages that were useless to the task at hand had a negative impact on consumers' task completion. Focusing solely on downloading times, Study 2 indicated that the downloading time related to pages that were useful to consumers had no effect on task completion, but downloading times related to pages that were useless had a significant impact on task completion. Managerial and theoretical implications are discussed.[to cite]:

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Consumers' decision-making process and their online shopping behavior: a clickstream analysis

Cited by 146 publications

References 30 publications

Constraint-Based Recommendation in Tourism: A Multiperspective Case Study

Constraint-Based Recommendation in Tourism: A Multiperspective Case Study

How to Evaluate the Performance of the Taiwan Biotech and Biopharmaceutical Corporations?

The effect of counterproductive time on online task completion

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