Does Shopping Preparation influence Consumer Buying Decisions?
Bibliographic record
Abstract
Changes in consumers’ environment, specifically the economic crisis and the growing penetration of digital technologies, have produced significant changes in shopping habits, designed to gradually reduced the effectiveness of in-store marketing levers in influencing shopping behaviour. On one hand, due to the global economic downturn and the associated diminished disposable income, more shoppers are now searching more information before entering a store and evaluating more alternatives before to decide where and what to shop. On the other hand, the deep penetration of technological developments, such as digital media and mobile devices, among the population, has opened up new opportunities to influence shopper attitudes and behaviour in the retail environment. A new scenario seems to be opening up where more planning and preparation for shopping is carried out before customers entering the store. In this new environment, to formulate and execute effective shopper marketing strategies, managers need to better understand the complete picture of how online, offline, mobile and in-store marketing influence shoppers in the path-to-purchase-and-beyond cycle. Starting from recent research avenues, our work intends to explore the relationship between pre-shopping behaviour and shopping behaviour in-store, with the aim to understand how pre-trip activities have influenced shopping behaviour in-store. In order to get this purpose, we conducted a survey in three stores belonging to a leading Italian grocery retailer. Shoppers were intercepted in front of the display, when the chosen product was placed in the shopping cart. Through a structured questionnaire, respondents were asked about the nature of the purchase (planned vs unplanned) and the degree of out-of-store preparation (number and type of activity carried out). Data were processed using SPSS statistical software. The degree of grocery shopping preparation is found to influence shopper behaviour inside the store in terms of planned/impulse buying: the higher is the degree of preparation, the greater is the tendency to plan purchases and the lower is the tendency to make impulse purchases. Our findings could suggest retailers and manufacturers new ways to innovate the practice of shopper marketing, considering that marketing levers cannot still affect consumers’ decisions in-store as in the past.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".