Mobile Shopper Study: Measurement
Page 3 of 5 · Survey design and measurementMeasure

Turning seven ideas into fifty survey questions.

A model is only as good as its measures. This page shows how the questionnaire was built and fielded, how each idea in the model was turned into survey items, and the exact wording respondents saw, with the reliability of every scale.

  • n = 250completed responses
  • Online panelprofessional consumer panel provider (Qualtrics), Russia
  • Qualified ifowns a mobile device and has used a mobile commerce site or app
  • 7-point scale1 = strongly disagree, 7 = strongly agree
  • 59 items50 for the model, 9 for cultural control variables

How the questionnaire was built

Every scale was adapted from published research, then checked twice before fieldwork, following the pretest and pilot procedure of Hult, Hurley and Knight (2004).

  1. Adapt established scales

    Items were taken from validated scales and reworded for the mobile commerce context, so each construct rests on wording that has worked before.

  2. Expert pretest

    5 academics in marketing and information systems judged logical consistency, ease of understanding, item sequence and relevance to the context.

  3. Pilot test

    30 mobile commerce users completed the survey to check content quality and the reliability of the measures.

  4. Fieldwork

    250 responses collected from qualified panel members through the online panel.

Two kinds of measure, chosen on purpose

Before writing a single item, each construct needs a decision: are its items different windows onto the same thing, or different parts that add up to the thing? The answer changes how the scale is built and how it is judged.

Reflective

Items are symptoms of the idea

The items should move together, and any one could be dropped without changing the meaning. Judged by internal consistency: loadings, Cronbach’s α, composite reliability and AVE.

Used for: the seven value dimensions, both kinds of exploration, return and recommend, and the two cultural controls.

Formative

Items are parts that build the idea

The items cover different facets and need not correlate. Dropping one changes what is being measured. Judged by overlap between items (VIF) and by each item’s weight.

Used for: immersion (eight facets of flow), and the three kinds of value, each built from its dimensions.

The constructs and the exact items

Select a construct to see its items. Loadings above .70 indicate that an item is a reliable reflection of its construct; every reflective item in the study cleared that bar. α is Cronbach’s alpha, CR is composite reliability (both should exceed .70), and AVE is average variance extracted (should exceed .50).

Useful (functional value)

A higher-order construct formed by three dimensions, 14 items in total.

Ubiquity5 items, reflective · adapted from Okazaki and Mendez (2013)α .95CR .96AVE .83
Survey itemLoading
Using Mobile Internet keeps me well informed at all times..908
When I cannot wait, and I need a certain type of information immediately, I will use the Mobile Internet..907
Mobile Internet provides a quicker way of updating myself..880
Mobile Internet is practical because I can use it without difficulty wherever I am..929
Mobile Internet gives me the freedom to find the information that I need..916
Customization5 items, reflective · adapted from Yang and Lin (2017)α .91CR .93AVE .73
Survey itemLoading
I value M-commerce webpages that: are personalized for my usage experience preferences..865
I value M-commerce webpages that: offer personalized services and/or products based on my past usage experience..886
I value M-commerce webpages that: seem to know what I want according to my location..858
I value M-commerce webpages that: seem to know my preferences based on my past search and browsing behaviour..835
I value M-commerce webpages that: provide me with information (e.g., deals and ads) tailored to my interests and preferences..815
Navigation4 items, reflective · adapted from Johnson et al. (2020); Richard and Chandra (2005)α .91CR .94AVE .79
Survey itemLoading
M-commerce webpages provide a clear process for browsing..864
Search features (e.g. filters, categories, suggested keywords) on M-commerce webpages help me to locate accurate information..892
It is easy to find the necessary information through internal hyperlinks when using M-commerce webpages..911
The categorization and layout contents (e.g. site map and menu items) of M-commerce webpages are helpful to obtain what I am looking for..897

Enjoyable (emotional value)

A higher-order construct formed by two dimensions, 9 items in total.

Aesthetics4 items, reflective · adapted from Li and Yeh (2010); Johnson et al. (2020)α .92CR .95AVE .81
Survey itemLoading
The arrangement of elements (i.e., colours, boxes, fonts, etc.) of M-commerce webpages are attractive..884
The M-commerce interface design is professional looking..900
The presentation and demonstration of products on M-commerce webpages are aesthetically pleasing..912
The overall look and feel of the M-commerce webpages are visually appealing..907
Enjoyment5 items, reflective · adapted from Nysveen et al. (2005)α .93CR .95AVE .78
Survey itemLoading
Using M-commerce is fun..836
I find using M-commerce enjoyable..908
I find using M-commerce very entertaining..910
I find using M-commerce very exciting..909
I feel a sense of adventure while using M-commerce..833

Social (social value)

A higher-order construct formed by two dimensions, 9 items in total.

Interactivity5 items, reflective · adapted from Fang (2017)α .92CR .94AVE .78
Survey itemLoading
Using M-commerce, I can obtain information without any delay..873
When I click on M-commerce webpages’ links, I feel I am getting the instantaneous information I expected..835
M-commerce webpages facilitate two-way communication..887
M-commerce webpages give consumers the opportunity to talk back..879
M-commerce webpages are effective in gathering visitors’ feedback..876
Social presence4 items, reflective · adapted from Fang (2017)α .93CR .95AVE .82
Survey itemLoading
There is a sense of human contact during experiences with M-commerce webpages..931
M-commerce webpages give me a sense of "personalness" as I interface with it..909
There is human-like warmth associated with M-commerce webpages..889
There is a sense of human sensitivity associated with M-commerce webpages..893

What the shopper experiences and intends

Immersion, the two kinds of exploration, and the outcome.

Immersion (flow state)8 items, formative · adapted from Engeser and Rheinberg (2008)VIF 2.1 to 3.75 of 8 weights sig.
Survey itemWeightLoading
I feel that I have control over my interaction with M-commerce webpages..263.858
I am unaware of distractions..127.673
I am totally absorbed in what I am doing..035 n.s..788
My attention is focused entirely on what I am doing..062 n.s..827
Time seems to go very quickly..169.748
Using M-commerce, I feel just the right amount of challenge..234.903
Using M-commerce, my thoughts/activities run fluidly and smoothly..065 n.s..840
Using M-commerce, I know what I have to do each step of the way..259.842

A formative construct is judged differently: by whether its items overlap too much (VIF below 5) and by each item’s weight. Three weights were not significant, but those items were kept because their loadings are above .50, following Hair et al. (2019).

Searching to decide (specific exploration)3 items, reflective · adapted from Litman and Spielberger (2003)α .89CR .93AVE .81
Survey itemLoading
Using M-commerce, I can work hard at a product’s problems that I feel must be solved..893
Using M-commerce, I can strive hard to obtain a deeper understanding of a looked-for product..919
Using M-commerce, I am interested in discovering how a specific product works..898
Browsing to discover (diversive exploration)3 items, reflective · adapted from Litman and Spielberger (2003)α .92CR .95AVE .86
Survey itemLoading
Using M-commerce, I enjoy learning about products that I am unfamiliar with and know less about..923
Using M-commerce, I find it fascinating to learn new information regarding the general category of products..930
Using M-commerce, I enjoy exploring new products..932
Return and recommend (future patronage intention)4 items, reflective · adapted from Baker et al. (2002)α .88CR .92AVE .74
Survey itemLoading
Revisit likelihood is ....803
Using of M-commerce is ....853
I say positive things about M-commerce to others..895
I would recommend M-commerce to someone who seeks my advice..886

The first two items are shown as they appear in the thesis table, where the response stems are abbreviated.

Control variables

Two cultural orientations were measured with scales. Age, gender, education and mobile internet plan were single questions.

Uncertainty avoidance (control)3 items, reflective · adapted from Sharma (2010)α .76CR .86AVE .67
Survey itemLoading
I would not describe myself as a risk-taker..841
I prefer specific instructions to broad or general guidelines..711
I feel safe when I am in my familiar surroundings..885
Individualism-collectivism (control)6 items, reflective · adapted from Sharma (2010)α .90CR .92AVE .66
Survey itemLoading
I would rather depend on myself than others..849
My personal identity, independent of others, is important to me..888
I rely on myself most of the time, rarely on others..839
It is important that I do my job better than others..773
The well-being of my group members is important for me..768
I feel good when I cooperate with my group members..754

How the higher-order constructs were estimated

Useful, enjoyable and social value are not measured directly. They are built from their dimensions using the disjoint two-stage approach recommended for PLS-SEM (Sarstedt et al., 2019).

Stage one

Estimate the seven dimensions

The model is run with the seven dimensions connected directly to immersion, exploration and the outcome. Their reliability and validity are established here, and a score for each dimension is saved for every respondent.

Stage two

Build the three kinds of value

The saved scores become the indicators of the three higher-order constructs. The model is run again, and the weights show how much each dimension contributes to its kind of value. Those weights are reported on the results page.

What this design can and cannot say

The sample is an online panel in one country, qualified on mobile commerce use, not a probability sample of all shoppers. All measures come from one self-completed questionnaire at one point in time. That is a sound and common design for testing relationships between perceptions, and the results should be read as evidence about those relationships, not as population estimates or proof of cause and effect. I come back to this on the last page.

Based on Chapter 4 (sections 4.1 to 4.3.1) of: Pouyan, M. M. (2021). The Influence of Perceived Value on Exploratory Behaviour Towards Future Patronage Intention in M-Commerce: An S-O-R Approach. MSc thesis, Goodman School of Business, Brock University. Item wording and statistics are from Tables 4.1 and 4.2.