Skip to content
OnlyProjects
MBA · MarketingFor educational purposes only

Shrinkflation, Unit-Price Reading and Brand Switching among Lucknow Grocery Shoppers (Excel + Jamovi)

The pack got smaller, the MRP didn't. Do Lucknow shoppers notice, read the per-kg price, and switch brands? 400 shoppers, six scales, five tests.

Mapped to your syllabusIGNOU MBA (MMPP-001 project) · MMPP-001 Project Course · Final semester

Overview

1 min read

Over the last few years many everyday packs in Indian kirana stores and supermarkets have quietly become lighter: a ₹10 biscuit pack holds fewer grams, a soap bar is a little thinner, a detergent pouch weighs less, and the printed MRP has not moved. Economists call this shrinkflation. Since the Legal Metrology (Packaged Commodities) Rules, 2011 were amended to require a unit sale price (price per kg, litre or unit) on most packages, a careful shopper can in principle catch it. Whether ordinary shoppers actually do is an open question, and that is the question this project asks.

This IGNOU MBA project (MMPP-001, marketing specialisation) surveys 400 household grocery shoppers in Lucknow, intercepted outside kirana stores and supermarkets in four parts of the city: Gomti Nagar, Aliganj, Chowk–Aminabad and Alambagh. It measures six constructs on 5-point Likert scales (price consciousness, shrinkflation awareness, unit-price use, perceived deception, brand trust and switching intention), adds a one-line unit-price arithmetic task, and records whether the shopper has actually switched brand. Brands are masked; only product categories are recorded.

Analysis runs in MS Excel and Jamovi: Cronbach's alpha, descriptives, chi-square, Welch's t-test, one-way ANOVA, Pearson correlation and a multiple regression of switching intention on the other five constructs. The report closes with practical recommendations for FMCG brand managers and retailers on pack-size communication and shelf labelling.

Branch
Marketing
Relevant for
All India
Level
Intermediate · 20 weeks · solo
Common at
Indira Gandhi National Open University, Dr. A.P.J. Abdul Kalam Technical University, Visvesvaraya Technological University
Updated
Nov 2026

Syllabus alignment

IGNOU · MBA (MMPP-001 project)

MMPP-001 · Project Course · Final semester · 8 credits

Subjects this project applies
  • Research Methodology for Management Decisions
  • Quantitative Analysis for Managerial Applications (Excel)
  • Marketing Management
  • Consumer Behaviour (marketing specialisation)
  • SPSS / Jamovi and Google Forms (profile tools)
How it is evaluated

Team: individual

report evaluated by the School + viva-voce

Approved proposal proforma + guide bio-data + certificate of originality bound in; chapters: introduction & problem, literature review, research methodology, data analysis & interpretation, findings & recommendations, bibliography, annexures (questionnaire)

Length: 50–60 double-spaced pages, ≤ 18,000 words · Citation: APA 7 · Submission: single PDF upload (portal deadlines 31 May / ~30 Nov)

Also fits: AKTU MBA KMBN 2021-22, VTU MBA 2022 Scheme.

What's in the box

11 parts · 5 free · 3 previewed · 3 unlock for ₹999

Problem & synopsis

7 min read

Problem statement

Shoppers in Lucknow, as in most Indian cities, buy a large share of packaged groceries at fixed price points. When a manufacturer trims the net quantity of a pack and keeps the MRP unchanged, the effective price per gram rises, yet the shopper sees the same number on the pack and at the counter. The unit sale price printed on the pack is meant to make such changes visible, but there is little evidence on whether shoppers read it, whether kirana shoppers (who often ask for a product by name and price) behave differently from supermarket shoppers (who can compare packs on the shelf), or whether discovering a smaller pack damages brand trust enough to trigger switching.

Brand managers therefore cannot tell whether a quiet pack reduction is a low-risk pricing move or a slow leak of loyal customers, and retailers cannot tell whether clearer shelf labels would help them win trust.

The problem for this study is: to measure shrinkflation awareness and unit-price use among household grocery shoppers in Lucknow, compare them across outlet types and spending groups, and identify how price consciousness, awareness, unit-price use, perceived deception and brand trust explain shoppers' intention to switch brands.

Synopsis

Abstract

This study examines whether household grocery shoppers in Lucknow notice pack-size reductions in packaged FMCG products, whether they use the printed unit sale price to compare packs, and how awareness, perceived deception and brand trust shape their intention to switch brands. A structured questionnaire is administered to 400 shoppers through a quota-based store-exit intercept across four areas and two outlet types. Reliability analysis, chi-square, t-test, ANOVA, correlation and multiple regression are run in Excel and Jamovi.

Introduction

When input costs rise, an FMCG company has three choices: raise the price, cut the margin, or reduce the quantity at the same price. The third option is attractive in India because so much volume is sold at fixed price points (₹5, ₹10, ₹20) that shoppers and shopkeepers remember. A ₹10 pack is still ₹10, so the change is easy to miss. Pricing research has long shown that buyers judge fairness against a reference price, and that a cut they discover later can feel worse than an open increase. The unit sale price declaration on packs gives shoppers a tool for spotting the change, but only if they read it.

Rationale and research gap

Shrinkflation is widely discussed in business newspapers, but most Indian evidence is anecdotal or based on company disclosures. Published consumer studies on Indian grocery buying focus on store choice, private labels or price promotions, and rarely link awareness of quantity cuts to unit-price reading and switching intention in one model. Very few compare kirana and supermarket shoppers, even though shelf labels and the chance to compare packs differ sharply between the two formats. A tier-1 city with both formats, such as Lucknow, is a sensible place to test these links.

Proposed study

  • Measure how many shoppers have noticed pack-size reductions, and in which categories.
  • Test whether unit-price use differs between kirana and supermarket shoppers.
  • Estimate how price consciousness, awareness, unit-price use, perceived deception and brand trust explain switching intention.
  • Recommend communication and labelling practices for brands and retailers.

Feasibility

  • Technical: Excel with the Analysis ToolPak and the free Jamovi package are enough for every test planned.
  • Economic: printing of about 450 schedules and local travel; no payment to respondents.
  • Operational: intercepts take 8–10 minutes and are done on weekday evenings and weekends over three weeks; store owners are informed in advance.
  • Ethical: adults only, verbal consent, no names, phone numbers or addresses recorded, and no brand is named in the report.

Objectives

  1. 01To measure the extent to which household grocery shoppers in Lucknow have noticed pack-size reductions in packaged FMCG products, and in which categories.
  2. 02To assess shoppers' use of the printed unit sale price and their ability to compare two pack sizes correctly.
  3. 03To examine whether noticing a pack-size reduction is associated with the shopper's main outlet type (kirana store or supermarket).
  4. 04To compare unit-price use between kirana and supermarket shoppers, and switching intention across monthly grocery-spend groups.
  5. 05To study the relationship between shrinkflation awareness and perceived deception.
  6. 06To estimate the effect of price consciousness, shrinkflation awareness, unit-price use, perceived deception and brand trust on brand-switching intention.
  7. 07To recommend pack-size communication practices for FMCG brands and shelf-labelling practices for retailers.

Scope

Geographical scope: four areas of Lucknow chosen to cover different income profiles and retail formats: Gomti Nagar, Aliganj, Chowk–Aminabad and Alambagh.

Population: adults (18+) who make or share the household's packaged-grocery purchase decisions and who shop at a kirana store or supermarket in these areas.

Content scope: five everyday packaged categories (biscuits, namkeen and chips, bathing soap, detergent, chocolate and confectionery). Fresh produce, loose staples and medicines are excluded. No brand names are recorded or reported.

Period: three weeks of fieldwork after the proposal is approved; "noticed" and "switched" refer to the six months before the interview.

Limitations: quota-based intercept sampling is non-probability, so results describe these shoppers rather than all of Lucknow; attitudes are self-reported; the cross-sectional design shows association, not cause; actual pack weights are not verified.

Methodology

Research design

Descriptive and explanatory (correlational) cross-sectional survey using primary data, supported by secondary material: the Legal Metrology (Packaged Commodities) Rules and their amendments, Department of Consumer Affairs notices, and published work on price perception, fairness and brand trust.

Population, sampling and sample size

  • Population: household grocery decision-makers in the four study areas (large and not listed anywhere, so treated as infinite).
  • Sampling method: quota-based store-exit intercept with systematic selection. In each area two outlets are used, one kirana store and one supermarket (8 outlets, fictional codes K-GN-01, M-GN-01 and so on). At each outlet the investigator approaches every 4th adult shopper leaving with packaged goods, which removes the investigator's choice of "friendly-looking" respondents.
  • Quotas: 100 per area, 50 per outlet type within each area.
  • Sample size (Cochran): n₀ = z²·p·q / e² = 1.96² × 0.5 × 0.5 / 0.05² = 384.16 → 385. The target is 400 completed schedules, which leaves room for up to 15 unusable schedules after cleaning without falling below 385.

Instrument

SectionContentItemsScale
AArea, outlet type, gender, age, household size, monthly grocery spend, shopping pattern, quick-commerce use8Nominal / ordinal
BNoticed a smaller pack (Y/N), category, switched because of it (Y/N), unit-price task4Nominal
CPrice consciousness (PC)45-point Likert
DShrinkflation awareness (SA)45-point Likert
EUnit-price use (UP)45-point Likert
FPerceived deception (PD)45-point Likert
GBrand trust (BT), BT3 reverse-worded45-point Likert
HSwitching intention (SI)45-point Likert

PC items are adapted from the price-consciousness scale of Lichtenstein, Ridgway and Netemeyer (1993) and BT items from Chaudhuri and Holbrook (2001); SA, UP, PD and SI items are written for this study. Content validity: reviewed by the guide and two retail practitioners. The schedule is bilingual (Hindi and English), translated and back-translated. Pilot: 30 shoppers outside the main sample; each scale must reach Cronbach's alpha ≥ 0.70.

Hypotheses and tests (α = 0.05)

#Null hypothesis (H0)Test
H1Noticing a pack-size reduction is independent of main outlet typeChi-square test of independence
H2Mean unit-price use is equal for kirana and supermarket shoppersIndependent-samples (Welch's) t-test
H3Mean switching intention is equal across the three monthly-spend groupsOne-way ANOVA + Tukey post-hoc
H4There is no correlation between shrinkflation awareness and perceived deceptionPearson correlation
H5PC, SA, UP, PD and BT do not jointly explain switching intentionMultiple linear regression (F, R², β, VIF)

Ethics

Verbal consent read out at the start; adults only; no names, phone numbers or addresses; respondents may stop at any time; store owners informed; brands masked in all tables.

Timeline (20 weeks)

WeeksActivity
1–3Topic, guide, synopsis and proposal proforma submitted to the Regional Centre
4–11Awaiting the PP number: literature review, construct definitions, draft schedule (no fieldwork yet)
12–13Pilot (n = 30), reliability check, final schedule
14–16Fieldwork: 400 intercepts across 8 outlets
17–18Data entry, cleaning and analysis
19–20Write-up, originality certificate, scan and upload

Research design

1 diagram · 8 tools · 1 min read

  • MS Excel (Analysis ToolPak, PivotTables, CHISQ.TEST)
  • Jamovi (reliability, t-test, ANOVA, regression)
  • Structured bilingual interview schedule (printed + Google Forms entry)
  • 5-point Likert scales (six constructs)
  • Quota-based store-exit intercept with systematic selection
  • Cronbach's alpha
  • Chi-square, Welch's t-test, one-way ANOVA with Tukey
  • Pearson correlation and multiple linear regression

The research design moves from an observed market practice (quiet pack-size cuts) to theory (reference prices and perceived fairness), then to a validated six-scale instrument, a quota-based intercept sample and a staged analysis that ends in a regression model of switching intention.

flowchart TD
  A["Market practice: pack size cut, MRP unchanged"] --> B["Theory: reference price, fairness, brand trust"]
  B --> C["Six constructs + unit-price task + switching behaviour"]
  C --> D["Bilingual schedule, content validity by guide"]
  D --> E["Pilot n = 30, Cronbach alpha >= 0.70"]
  E --> F["Quota intercept: 4 areas x 2 outlet types, every 4th shopper"]
  F --> G["400 schedules entered in Excel"]
  G --> H["Cleaning, reverse coding, construct means"]
  H --> I["Descriptives and unit-price task accuracy"]
  H --> J["H1 chi-square, H2 Welch t, H3 ANOVA, H4 correlation"]
  H --> K["H5 multiple regression on switching intention"]
  I --> L["Findings by objective"]
  J --> L
  K --> L
  L --> M["Recommendations for brands and retailers"]

Conceptual model

Independent variables: price consciousness (PC), shrinkflation awareness (SA), unit-price use (UP), perceived deception (PD) and brand trust (BT). Dependent variable: switching intention (SI). Grouping variables: outlet type, monthly grocery spend, area, age and gender.

Expected directions: PD and SA should raise switching intention; BT should lower it; PC and UP should raise it, because shoppers who compare prices are the ones who can actually see the cut. The model is:

SI = β0 + β1·PC + β2·SA + β3·UP + β4·PD + β5·BT + ε

A significant positive β4 together with a negative β5 would suggest that the damage from shrinkflation runs through a feeling of being misled, not through the price change alone. That distinction is what the recommendations chapter builds on.

Deliverables

6 artefacts · structure free · exemplars and editable forms unlock

What you actually hand in, in the shape your department marks it.

  1. 01 · Research proposal / synopsis · Synopsis 1,200–1,800 words (about 6–8 pages) plus proforma and bio-data

    Project proposal (synopsis), proforma and guide bio-data

    IGNOU evaluates the synopsis before any project work starts. Approval comes with a Project Proposal (PP) number, and the approved proforma, synopsis and guide bio-data are later bound into the final report. MMPP-001 carries 8 credits and the guidelines publish no separate marks for the proposal, but a rejected proposal costs two to three months, so it is the most important gate in the course.

    Structure

    1. 1Proposal proforma. Enrolment number, Study Centre and Regional Centre, subject area, topic, guide's details and whether the guide is an IGNOU academic counsellor. Leave the PP number and office-use boxes blank.
    2. 2Title. Name the variables, the population and the place in one line; avoid vague words such as 'a study on'.
    3. 3Introduction and rationale. One page: the market practice, why it matters to shoppers and firms, and the gap in existing studies.
    4. 4Objectives. Five to seven objectives, each starting with a verb (to measure, to compare, to examine) and each answerable with one analysis.
    5. 5Hypotheses. H0 and H1 pairs, numbered, each linked to an objective and to the test you will run.
    6. 6Research methodology. Design, nature and source of data, population, sampling technique, sample size with the formula, instrument, data-collection method, and statistical tools.
    7. 7Scope and limitations. Area, population, categories and period covered; the honest weaknesses of a non-probability intercept and self-reported attitudes.
    8. 8Proposed chapterisation and timeline. The eight IGNOU chapter heads with one line each, and a week-wise plan that starts fieldwork only after approval.
    9. 9Guide's bio-data. Name, contact details, qualifications with specialisation, chronological experience and anything else that shows eligibility, signed by the guide.

    Worked exemplar

    265 words · unlocks with the project · ₹999
    Editable .docx form: MMPP-001 Project Proposal Proforma and Synopsis Outline unlocks
  2. 02 · Chapter scheme · About 14,000–18,000 words; 50–60 double-spaced pages excluding annexures

    IGNOU MMPP-001 chapter scheme and page budget

    The School evaluates the report against the chapter order in the MMPP-001 guidelines, and the evaluator decides whether a viva is needed. A report that skips the approved proposal, mixes results with recommendations, or runs far past 60 pages reads as careless before a word of analysis is read. IGNOU publishes no mark split for the chapters, so the rubric below is a self-review scale for you and your guide, not the official weighting.

    Structure

    1. 1Front matter. Cover page, contents with page numbers, approved proposal set (proforma, synopsis, guide bio-data), certificate of originality, acknowledgement, lists of tables and figures, abstract.
    2. 2Chapter 1 — Introduction and review of literature. Shrinkflation and fixed price points in Indian FMCG, the unit-sale-price rule, Lucknow's retail mix, then a themed review ending in the research gap.
    3. 3Chapter 2 — Research methodology. Problem, objectives, hypotheses, design, sampling and Cochran working, instrument table, validity, pilot reliability, tools and ethics.
    4. 4Chapter 3 — Results and discussion. Respondent profile, reliability table, descriptives per construct, H1 to H5 each with table, decision and a paragraph comparing it with the literature.
    5. 5Chapter 4 — Summary and conclusion. Findings listed objective by objective and hypothesis by hypothesis, then a short conclusion that answers the research problem.
    6. 6Chapter 5 — Recommendations. Separate, numbered suggestions for brand managers, retailers and shoppers, each traced to a finding.
    7. 7Chapter 6 — Limitations and further research. Sampling, self-report and cross-sectional limits stated plainly, with two or three concrete follow-up studies.
    8. 8References and annexures. APA 7 reference list of works actually cited; annexures with the questionnaire, codebook, key output tables and the fee receipt copy.

    How it is usually marked

    Marking rubric for IGNOU MMPP-001 chapter scheme and page budget
    Self-check: problem, objectives and hypotheses are consistent15
    Self-check: literature review ends in a clear gap15
    Self-check: method matches what was actually done20
    Self-check: every table interpreted and linked to a hypothesis25
    Self-check: recommendations traced to findings15
    Self-check: format, APA 7 and front-matter order10

    Worked exemplar

    272 words · unlocks with the project · ₹999
  3. 03 · Questionnaire · 36 items plus consent and investigator note; 8–10 minutes per interview

    Bilingual shopper interview schedule with construct map

    The questionnaire is the annexure examiners turn to first: they check that every objective and hypothesis has items behind it, that scales are borrowed or justified, and that nothing identifies the respondent. It goes in the annexures of the final report, and its construct map belongs in Chapter 2.

    Structure

    1. 1Consent and screening. Read-out consent, age 18+, and whether the respondent decides or shares grocery purchases; end the interview politely if not.
    2. 2Section A — Shopper profile. Eight closed questions with fixed bands; no name, phone number, exact income or address.
    3. 3Section B — Shrinkflation experience. Noticed a smaller pack, first category, whether the shopper switched, and the one-line unit-price task.
    4. 4Sections C–H — Likert scales. Six constructs of four items each on a 5-point agreement scale, with one reverse-worded item to catch straight-lining.
    5. 5Investigator block. Store code, date and time slot only, so quotas can be tracked without identifying anyone.
    6. 6Translation and pilot. Hindi translation, back-translation by a second person, then a 30-shopper pilot before the schedule is frozen.

    Worked exemplar

    281 words · unlocks with the project · ₹999
    Editable .docx form: Shopper Interview Schedule (Sections A–H) unlocks
  4. 04 · Sample dataset

    Coding sheet and codebook for the 400-shopper dataset

    A clean, well-coded sheet is what lets you answer viva questions about your own numbers. Examiners also check that the data file matches the questionnaire item for item and that the reported N matches the rows. The codebook goes in the annexures; the sheet stays on your laptop for the viva.

    Structure

    1. 1One row per respondent. RespID R001 onwards in the order schedules were collected; write the same ID on the paper schedule.
    2. 2One column per item. Column names copy the item codes (A1_Area, PC1 … SI4) so analysis output can be traced back to the question.
    3. 3Fixed codes for categories. Short text codes (GN, Kirana, MT, Yes, No) entered from a drop-down list to avoid spelling variants.
    4. 4Raw Likert values. Enter 1–5 exactly as ticked, including BT3; reverse coding happens later in Jamovi, never by hand.
    5. 5Missing values. Leave the cell blank for a skipped item; use NA only where the question did not apply, such as B2 when B1 is No.
    6. 6Entry checks. Re-enter every tenth schedule a second time and compare, and filter each column for impossible values daily.
    7. 7Cleaning log. A separate tab listing every deleted or corrected row with the reason, so Chapter 2 can report the final N honestly.

    Worked exemplar

    302 words · unlocks with the project · ₹999
    Editable .xlsx sheet: Shopper Survey Dataset (coding sheet) unlocks
  5. 05 · Analysis walkthrough · Chapter 3: about 5,000–5,500 words with 10–14 tables

    Excel and Jamovi analysis walkthrough (reliability to regression)

    Chapter 3 is where the evaluator decides whether you understood your own data. This walkthrough takes the coding sheet through every test in the plan, in the order the chapter presents them, and shows how to read and report each output in APA 7 style. The viva, if called, will ask you to interpret these numbers without notes.

    Structure

    1. 1Import and set measure types. Open the .xlsx in Jamovi; set A1–B3 as nominal, A4–A6 as ordinal, Likert items as continuous, B4 as nominal.
    2. 2Reverse code and compute construct means. Data → Compute: BT3r = 6 - BT3; then PC = MEAN(PC1, PC2, PC3, PC4) and the same for SA, UP, PD, BT (using BT3r) and SI.
    3. 3Reliability. Factor → Reliability Analysis for each construct's four items; report Cronbach's α and drop an item only if α rises clearly and the item is weak in meaning.
    4. 4Respondent profile and descriptives. Exploration → Descriptives and Frequencies for Section A and B; report mean and SD of each construct, and the share answering B4 correctly.
    5. 5H1 — Chi-square. Frequencies → Contingency Tables → Independent Samples, rows B1, columns A2; tick expected counts and Cramér's V; all expected counts should be at least 5.
    6. 6H2 — Welch's t-test. T-Tests → Independent Samples, UP by A2; tick Welch's, effect size and descriptives; Welch's does not assume equal variances.
    7. 7H3 — One-way ANOVA. ANOVA → One-Way ANOVA, SI by A6; use Welch's if Levene's test is significant; run Tukey (or Games–Howell) post-hoc to see which spend groups differ.
    8. 8H4 — Correlation. Regression → Correlation Matrix with SA and PD; report Pearson's r, p and the direction in words.
    9. 9H5 — Multiple regression. Regression → Linear Regression, SI as dependent, PC, SA, UP, PD, BT as covariates; tick R², adjusted R², F test, standardised estimates and collinearity (VIF below 5).
    10. 10Excel cross-check and reporting. Repeat the t-test, ANOVA, correlation and regression with the Analysis ToolPak and CHISQ.TEST to confirm the numbers, then write each result in one APA sentence.

    Worked exemplar

    288 words · unlocks with the project · ₹999
  6. 06 · Certificates & declaration (blank)

    Certificate of originality and submission checklist (blank)

    The MMPP-001 guidelines require a certificate of originality signed and dated by both learner and guide, bound in after the approved proposal. Reports without it, or without the approved proforma and guide bio-data, are returned for compliance. This blank format and checklist keep the single-PDF upload complete.

    Structure

    1. 1Identification block. Title exactly as approved, learner's name, enrolment number, programme and course code, Regional Centre and Study Centre codes, PP number.
    2. 2Learner's declaration. Statement that the report is the learner's own work and has not been submitted to any other university or institution for any course.
    3. 3Guide's certificate. Statement by the guide that the work was carried out under their supervision and is original to the best of their knowledge.
    4. 4Similarity check record. Software used and the similarity index, if your guide or Regional Centre asks for one; attach the summary page to the annexures.
    5. 5Signatures, place and date. Signed by hand by learner and guide only after the final version is complete; never typed or pasted as images.
    6. 6Submission checklist. Approved proposal set present, fee receipt copy attached, single PDF with cover page first and pages in order.

    Worked exemplar

    296 words · unlocks with the project · ₹999
    Editable .docx form: Certificate of Originality and Submission Checklist unlocks

Work packages

6 packages

  1. Package 01

    Package 1 — Proposal and approval

    Topic, guide selection and bio-data, synopsis and proposal proforma, submission to the Regional Centre, tracking the PP number and revising the proposal if comments come back.

  2. Package 02

    Package 2 — Literature and constructs

    Reading on reference prices, perceived fairness, price consciousness, unit pricing and brand trust; the Legal Metrology unit-sale-price rules; operational definitions of the six constructs and the research gap.

  3. Package 03

    Package 3 — Instrument and pilot

    Writing and translating the 36-item schedule, content validity with the guide, the unit-price task, pilot with 30 shoppers and the reliability check that decides which items stay.

  4. Package 04

    Package 4 — Fieldwork

    Briefing store owners, running the quota-based intercept at eight outlets with the every-4th-shopper rule, daily tally of quotas and same-day data entry.

  5. Package 05

    Package 5 — Data and analysis

    Cleaning, reverse coding, construct means, reliability, respondent profile, the five hypothesis tests in Jamovi with Excel cross-checks, and APA-style tables.

  6. Package 06

    Package 6 — Report and submission

    Writing the eight IGNOU chapters, recommendations for brands and retailers, the originality certificate, fee receipt, single-PDF scan and portal upload, and viva preparation.

Slides

13 slides · titles free · bullets, notes and the .pptx unlock

  1. Slide 1

    Shrinkflation, Unit-Price Use and Brand Switching

  2. Slide 2

    The market practice

  3. Slide 3

    Research gap

  4. Slide 4

    Objectives

  5. Slide 5

    Conceptual model and hypotheses

  6. Slide 6

    Research design and sampling

  7. Slide 7

    Instrument and pilot

  8. Slide 8

    Respondent profile

  9. Slide 9

    Awareness and unit-price use

  10. Slide 10

    Hypothesis tests H1–H4

  11. Slide 11

    What drives switching intention (H5)

  12. Slide 12

    Recommendations

  13. Slide 13

    Limitations and further research

Bullets, speaker notes and the .pptx · ₹999

The titles above are the real outline. The rest is what you present from.

Unlock for ₹999

Viva questions & answers

3 of 17 answered free · 14 unlock

Read each answer, close it, and say it in your own words. Your viva will ask. Now you'll know.

  1. 01Concept

    What is shrinkflation, and how is it different from ordinary inflation?

    Shrinkflation is reducing the quantity in a pack while keeping the price the same, so the price per gram rises without the printed price changing. Ordinary inflation shows up as a higher MRP. In my study the issue is that shoppers who remember ₹10 or ₹20 price points may not notice the effective increase at all.

  2. 02Concept

    What is the unit sale price and why is it relevant to your study?

    The unit sale price is the price per kilogram, litre or unit that the Legal Metrology (Packaged Commodities) Rules, as amended, require on most packages alongside the MRP. It is the shopper's tool for comparing packs of different sizes, so my unit-price-use scale and the arithmetic task test whether shoppers actually use it.

  3. 03Concept

    Why did you include perceived deception as a separate construct from price consciousness?

    Price consciousness is a stable trait, how much a shopper cares about price in general. Perceived deception is a reaction to a specific practice, feeling misled by a hidden quantity cut. Fairness research shows people can accept a price rise they see as justified but resent a hidden one, so I wanted to test which of the two drives switching.

+14 more questions, with answers

Try the free ones out loud first. Your examiner will not accept “it's in the PPT”.

How to reproduce the study

11 steps · unlocks with the project

Unlocks with the project · ₹999

11 steps

Every step to carry the project out with the tools in the tech stack, in order.

Unlock for ₹999

READMEFIRST

292 words · unlocks with the project

What to change before it goes anywhere near a submission. Skipping it is how the demo fails live.

Unlocks with the project · ₹999

292 words · ~1 min read

The checklist of things to rename, re-seed and re-think so the project reads as yours.

Unlock for ₹999

Instructions

317 words · unlocks with the project

How to study it, adapt it and walk your examiner through it, step by step.

Unlocks with the project · ₹999

317 words · ~2 min read

Report structure, formatting rules and the submission checklist your department will grade.

Unlock for ₹999

References

13 sources

  1. IGNOU School of Management Studies — MMPP-001 Project Guidelines
  2. IGNOU — Online submission of project reports (guidelines and portal)
  3. Daniel Kahneman, Jack L. Knetsch and Richard H. Thaler — Fairness as a Constraint on Profit Seeking: Entitlements in the Market, American Economic Review (1986)
  4. Donald R. Lichtenstein, Nancy M. Ridgway and Richard G. Netemeyer — Price Perceptions and Consumer Shopping Behavior: A Field Study, Journal of Marketing Research (1993)
  5. Arjun Chaudhuri and Morris B. Holbrook — The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty, Journal of Marketing (2001)
  6. Naresh K. Malhotra and Satyabhushan Dash — Marketing Research: An Applied Orientation (Pearson)
  7. Donald R. Cooper and Pamela S. Schindler — Business Research Methods (McGraw Hill)
  8. William G. Cochran — Sampling Techniques (Wiley)
  9. Joseph F. Hair, William C. Black, Barry J. Babin and Rolph E. Anderson — Multivariate Data Analysis (Cengage)
  10. Department of Consumer Affairs, Government of India — Legal Metrology (Packaged Commodities) Rules, 2011 and amendments
  11. The jamovi project — jamovi statistical software
  12. American Psychological Association — APA Style, 7th edition
  13. University Grants Commission — Promotion of Academic Integrity and Prevention of Plagiarism in Higher Educational Institutions Regulations, 2018

Cite this bundle

OnlyProjects. (2026). Shrinkflation, Unit-Price Reading and Brand Switching among Lucknow Grocery Shoppers (Excel + Jamovi): MBA Marketing project bundle [Educational resource]. https://onlyprojects.online/projects/mba-marketing-shrinkflation-unit-price-brand-switching-lucknow-grocery-shoppers

Future scope

1 min read

  • Weigh actual packs bought by respondents (with consent) to compare perceived and real quantity cuts.
  • Run a shelf-label experiment in one supermarket: bold unit prices on half the shelves and compare purchase shares.
  • Extend the model with structural equation modelling to test whether perceived deception mediates the effect of awareness on switching.
  • Compare tier-1 and tier-2 cities, or kirana, supermarket and quick-commerce app shoppers.
  • Repeat the survey after a year to see whether awareness rises as pack cuts become news.

Keep browsing

Same degree, same syllabus slot, different idea. Pick the one your guide will actually approve.