Undergraduate Research · Consumer Behavior · SPSS + AMOS

Tracing the Novelty,
Savoring the Future

A survey of 1,030 Nanjing residents on willingness to buy novelty-flavored beverages — modeled with the Theory of Planned Behavior, K-means clustering and SEM.

0valid responses
0%valid rate
α=0Cronbach's alpha
0KMO measure
Paper cover — cartoon novelty drinks
Crafted by Zhijie Wu·zhijiewu1105@gmail.com
Word cloud of novelty beverage keywords from the paper
Market Context · Novelty Beverages · Nanjing
01 · Research Background

When weird flavors go viral

From salted-egg-yolk soda to cilantro juice, novelty flavors have become the beverage industry's most talked-about frontier — but virality does not guarantee repeat purchase.

¥21.61 bn

Beverage GMV on major e-commerce platforms, Jan–Jul 2024 +27.8% YoY

+238.36%

Quarterly sales growth of niche flavors (cilantro, houttuynia, luosifen, durian) on Taobao, Q1 2024

8,000 + orders

Online orders of Huiyuan 100% cilantro juice within its first week — despite polarized reviews

“Why do consumers pay for novelty-flavored beverages — and how does the decision logic systematically differ across consumer groups?”
Core research question · Nanjing, China
02 · Theoretical Framework

The TPB engine, made clickable

The questionnaire operationalizes the Theory of Planned Behavior across four constructs, five Likert items each. Select a node to inspect its definition, sample items and evidence.

β = 0.368 β = 0.355 β = 0.273 only 34% convert Attitude Subjective Norm Perceived Control Intention Behavior
03 · Methodology

From questionnaire to model

A multi-stage sampling design across six Nanjing districts, followed by a full statistical pipeline in SPSS and AMOS.

STEP 01

Instrument design

TPB-based questionnaire; 4 constructs × 5 Likert items, refined through an 87-response pilot.

Attitude scale results — radial chart from the paper
STEP 02

Multi-stage sampling

Stratified + Lahiri + SRS; six districts — Lishui, Jiangning, Qinhuai, Jianye, Qixia, Luhe.

Nanjing administrative map
STEP 03

Fieldwork

Online + offline interception surveys in public spaces; dual data entry and four validity screens.

STEP 04

Analysis

SPSS + AMOS: reliability & validity, EFA, ordered-logistic regression, K-means, MANOVA, SEM.

K-means cluster scatter plot from the paper
0distributed
→
0valid
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0%valid rate
Cronbach's α = 0.885 KMO = 0.981 Pilot n = 87 6 districts · 9.55M population frame
α ≥ 0.8 and KMO ≥ 0.8 mean the questionnaire is reliable and the data suit factor analysis.
04 · Data Insights

What 1,030 residents told us

Social influence runs high, purchase conditions are favorable — yet conversion lags far behind intention.

0%of intention converts to action
Can't find a store27%
Taste below expectation19%
Promo buyers → loyal22%
The three frictions behind the gap: limited access, unmet expectations and promo-dependence.

Subjective norm — % agreement

Share rating 4–5 on 5-point items
All seven items above 72% — social pressure is strong across the board.

Perceived behavioral control — means

5-point scale, n = 1,030
All means sit at 3.84–3.96 of 5 — buying feels easy, affordable and within reach.

Purchase intention — means

5-point scale, n = 1,030
Means near 4 of 5 — stated willingness runs high in every form.

Monthly disposable income

Sample composition, %
65% of the sample earns ¥3,000–8,000/month — the market's core spending group.
05 · Consumer Segments

Three tribes of novelty drinkers

K-means clustering (elbow method, silhouette 0.389) separates consumers into three sharply distinct groups.

40.78%
Cluster 1 · Engaged Explorers

The social-driven core

  • Mid income & education; high liking and trial intent
  • Highly swayed by friends, family and social media
  • The core growth audience for novelty launches
47.33%
Cluster 2 · Premium Quality-Seekers

The quality-led potential

  • Higher education & income; uniqueness and brand image matter
  • Decisions still driven by family and social circles
  • Natural target for premium, design-led lines
11.89%
Cluster 3 · Disengaged Observers

The hesitant minority

  • Younger, lower income; interest and intent far below others
  • Low scores on attitude, norm and control alike
  • Not a priority segment for current campaigns

Segment share of sample

K-means, k = 3 · n = 1,030
88% of consumers fall into the two high-potential groups.

Attitude & trial intent by segment

Cluster centroids, 5-point scale
Cluster 3 scores far lower on every attitude item — a clear engagement divide.
06 · Structural Equation Model

The model holds — and explains

All six hypothesized paths are significant and positive. Attitude is the strongest direct driver of intention, followed by subjective norm and perceived control.

0.368 *** 0.355 *** 0.273 *** Attitude 6 observed items Subjective Norm 7 observed items Perceived Control 7 observed items Purchase Intention 7 observed items Behavior actual purchase intention–action gap
Numbers on the arrows are standardized path coefficients (β) — larger means stronger influence; *** = p < 0.01. Chips below show the model's fit indices with their accepted thresholds.
0.986χ²/df (<3)
0.948GFI (>0.9)
≈0.000RMSEA (<0.10)
1.001CFI (>0.9)
0.948NFI (>0.9)
1.001NNFI (>0.9)
07 · Findings & Implications

Four takeaways, one playbook

Novelty beverages are bought socially, judged on experience, and lost at the last mile.

1

Subjective norms dominate

0%
refer to others' opinions before buying
KOL influence 41% among youth
2

Novelty & convenience convert

18% → 27%
monthly repurchase rate with 30-minute delivery
3

The intention–behavior gap

0%
of strong intention converts to real purchase
27% can't find a store
4

Health & function emerge

0%
spontaneously ask for healthier recipes
38% young women eye beauty drinks

For brands

Segmented operationsPremium collabs · scenario lines · trial packs
Social-first growthReferral rewards · campus communities · UGC
Omnichannel convenienceSmart vending · 30-min delivery · mini-program
Continuous noveltyFunctional ingredients · mystery flavors

For consumers

Check ingredients & certifications Start with small packs Brand over flashy packaging Convenience & fair price
08 · Appendix

Survey instruments & paper artifacts

Read the full paperOriginal report (Chinese) · PDF · all tables, models & interview records included Download PDF

Novelty-Flavored Beverage Consumption Survey

Final instrument · anonymous · 5-point Likert matrices (1 = strongly disagree, 5 = strongly agree) · 猎奇口味饮料消费倾向调查问卷
Q1 Gender 性别 · Male 男 / Female 女 Q2 Age 年龄 · 18以下 / 18–25 / 26–30 / 31–40 / 41–50 / 51–60 / 60+ Q3 Education 学历 · 初中及以下 → 研究生及以上 Q4 Occupation 职业 · 22 categories Q5 City 城市 (fill-in)

Section A · Attitude toward novelty beverages 行为态度

Item 题项12345
High overall liking for novelty beverages我对猎奇口味饮料的整体喜好程度很高○○○○○
The taste is truly unique猎奇口味饮料的口味非常独特○○○○○
More appealing than regular beverages猎奇口味饮料比普通饮料更有吸引力○○○○○
Satisfies my curiosity猎奇口味饮料能够满足我的好奇心○○○○○
Very willing to try new novelty flavors我非常愿意尝试新的猎奇口味饮料○○○○○
The packaging design is creative猎奇口味饮料的包装设计很有创意○○○○○
The brand image attracts me猎奇口味饮料的品牌形象很吸引我○○○○○

Section B · Subjective norm 主观规范

Item 题项12345
My family strongly supports my purchase我的家人非常支持我购买猎奇口味饮料○○○○○
Friends often recommend them to me我的朋友经常推荐我购买猎奇口味饮料○○○○○
Others' opinions change my purchase decisions我会因为周围人的意见而改变购买决策○○○○○
I feel everyone around me is buying them我觉得周围人都在购买猎奇口味饮料○○○○○
Buying them is a trendy behavior购买猎奇口味饮料是一种潮流行为○○○○○
My colleagues rate them highly我的同事对猎奇口味饮料的评价很高○○○○○
I refer to social media recommendations我会参考社交媒体上的相关推荐○○○○○

Section C · Perceived behavioral control 感知行为控制

Item 题项12345
Buying them is very convenient购买猎奇口味饮料非常方便○○○○○
The price is reasonable猎奇口味饮料的价格非常合理○○○○○
I encounter almost no barriers购买时几乎不会遇到障碍○○○○○
Sales channels are abundant猎奇口味饮料的销售渠道非常多○○○○○
Packaging strongly influences my decision包装设计对我的购买决策影响非常大○○○○○
Easy to find in supermarkets我很容易在超市找到猎奇口味饮料○○○○○
Promotions attract me猎奇口味饮料的促销活动很吸引我○○○○○

Section D · Purchase intention 购买意图

Item 题项12345
I will definitely buy in the future我未来一定会购买猎奇口味饮料○○○○○
Very willing to recommend to others我非常愿意向他人推荐猎奇口味饮料○○○○○
Plan to buy within a month我计划在未来一个月内购买猎奇口味饮料○○○○○
Buying them is a fun experience购买猎奇口味饮料是一种非常有趣的体验○○○○○
A product well worth trying猎奇口味饮料是一种非常值得尝试的产品○○○○○
I regularly follow new launches我会定期关注猎奇口味饮料的新品信息○○○○○
Promotions increase my purchase volume我会因为优惠活动而增加购买量○○○○○

Open questions 开放题

Q11 — Suggestions for improving novelty beverages 您对猎奇口味饮料的改进建议?
Q12 — Suggestions for the market's development 您对猎奇口味饮料市场的发展建议?

Research framework — original figure from the paper

研究框架图 · from problem statement → design & fieldwork → analysis → conclusions & outlook
Research framework diagram from the paper

TPB concept diagram — original figure from the paper

TPB 理论概念图 · beliefs → attitude / subjective norm / perceived control → intention → behavior
TPB concept diagram from the paper

Semi-structured interview outline

深度访谈提纲 · conducted with brand R&D staff, food bloggers and novelty-drink triers
1
How often do you usually drink beverages?您平时喝饮料的频率大概是怎样的?
2
Have you tried novelty flavors — e.g. insect or herbal-bitter ones?您是否尝试过猎奇口味的饮料,比如昆虫风味、草本苦味等?
3
Through which channels do you learn about them — social media, friends, offline ads?您通常通过哪些渠道了解到猎奇口味饮料?
4
What attracts you to try them — novelty, brand marketing, others' recommendations?吸引您尝试猎奇口味饮料的原因是什么?
5
When buying, do you value brand, price, or the flavor itself more?您购买时更注重品牌、价格,还是口味本身?
6
In which occasions do you choose them — gatherings, leisure, work?您一般在什么场景下会选择喝猎奇口味的饮料?
7
Are you satisfied with the current variety? What flavors do you wish to see?您对目前市场上的种类和丰富度满意吗,希望增加哪些口味?
8
Would packaging design spark your interest in a product?您是否会因为包装设计而对一款猎奇口味饮料产生兴趣?
9
What price range feels reasonable to you?价格在什么范围内您觉得比较合理?
10
Would you recommend them to people around you, and why?您会向身边人推荐猎奇口味的饮料吗,基于什么原因?