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Record W1499773649

Towards Understanding the Formation and Impact of E-service Failures

2008· article· en· W1499773649 on OpenAlexaff
Chee‐Wee Tan, Izak Benbasat, Ronald T. Cenfetelli

Bibliographic record

VenueJournal of the Association for Information Systems · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsService (business)Transactional leadershipTypologyConsumption (sociology)MarketingComputer scienceProcess (computing)Consumer behaviourProduct (mathematics)PerceptionPerspective (graphical)E-commerceBusinessPsychologyWorld Wide WebSocial psychologySociologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

E-service failure has been the bane of e-commerce by compelling consumers to abandon transactions entirely or to switch to brick-and-mortar establishments. Yet, despite the downsides of e-service failures, there has not been a study to-date that systematically investigates how perceptions of failure arise within online transactional environments and their impacts on consumer behavior. Departing from the multi-attribute utility approach prevalent in conventional consumer research, this study advances a typology of e-service failure from a goal-directed perspective. Assimilating Lee and Ariely’s (2006) shopping goal theory with Van Osselaer et al.’s (2005) classification of consumer goals, it is the contention of this study that when transacting online, consumers are not only motivated to (1) purchase a product suited to their extrinsic requirements (i.e., consumption goals) and personal preferences (i.e., criterion goals) while enjoying the transactional experience (i.e., process goals), but they are also seeking ways to (2) translate what are often elusive intentions into tangible objectives (goal activation) and achieve those objectives in the most efficacious manner (i.e., goal implementation). Consequently, e-service failures can be delineated according to the type of consumer goal (i.e., consumption, criterion or process) they target and the transactional stage (i.e., activation or implementation) at which they occur. A research model of e-service failure is then constructed and testable hypotheses are derived.\nTo empirically validate the model, a 3x3 experimental design is proposed and elaborated. The experiment employs a 3 (Type of Failure: Activation Success + Implementation Failure; Activation Failure + Implementation Failure or Activation Failure + Implementation Success) x 3 (Type of Goal: Consumption; Criterion; or Process) between-subjects factorial design will be conducted. A totally separate control group without any form of e-service deficiency (Activation Success + Implementation Success) across the three goal categories will also be incorporated into the experimental design to contrast differences in consumers’ perceptions, attitudes and behaviors arising from the distinction between the presence and absence of implementation failures given the successful activation of consumer goals. It is anticipated that the empirical findings from our experiment will serve to inform academics and practitioners on: (1) how consumer perceptions of different types of e-service failure manifest on e-commerce websites, and; (2) their impact on transactional attitudes and intentions.\nConceptually, our proposed experimental study is designed to not only verify the veracity of our research model, but to also challenge the premise underlying past research into consumer behavior. Theories like the EDT have contended that expectations constructed from previous transactional experiences form the baseline from which consumers assess future transactions. Yet, if we were to establish goal activation as a prerequisite for perceptions of implementation failure to arise, it will imply that while prior transactional experiences might be pertinent in affecting consumer behavior, goals—which are activated through immediate interactions with the e-commerce website—may be a more salient influence. Additionally, the experiment represents an opportunity to validate our typology of e-service failures by demonstrating how they might occur in reality and explaining why each e-service failure type might be more or less effective in affecting online consumer behavior. Pragmatically, empirical findings can offer cautionary advice to practitioners to be vigilant in web interface design so as to avoid activating unwanted goals, especially when the website is ill-equipped to fulfill them. Further, the typology of e-service failures can provide guidelines for practitioners to establish benchmarks for designing error-free e-commerce websites. Finally, this study acts as a pre-requisite to uncovering corresponding e-service recovery mechanisms that can be offered on e-commerce websites to alleviate consumers’ disappointment and feelings of dissatisfaction in the event of e-service failures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0020.008
Scholarly communication0.0080.021
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.136
GPT teacher head0.362
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueJournal of the Association for Information SystemsSame topicTechnology Adoption and User BehaviourFrench-language works237,207