Consumer attitudes toward digital newspaper subscriptions: factors affecting WTP
Feature of the impact of digitalization on the media industry. Transformations in the news market. The emergence of toll walls in online news content. Analysis of types of remuneration. WTP and consumer attitudes in various types of online newspapers.
Рубрика | Маркетинг, реклама и торговля |
Вид | дипломная работа |
Язык | английский |
Дата добавления | 18.07.2020 |
Размер файла | 469,2 K |
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H1c. In the comparison of people, women are more likely to have a high WTP for online newspapers than men.
H1d. In the comparison of people, those with higher level of educational qualification are more likely to have a high WTP for online newspapers than those with lower level of educational qualification.
Monthly income group, age group, gender, level of education, WTP for interests/hobbies, WTP for professional field, WTP for brand which is considered as well-known, WTP for a local online newspaper, WTP for a national online newspaper, WTP for an international online newspaper, WTP for a special interest online newspaper, WTP for a general interest online newspaper.
H2a. WTP is high for online newspapers that correspond to a person's interests or hobbies and professional field.
H2b. WTP is high for online newspapers that have a strong brand awareness for a person.
WTP for interests/hobbies, WTP for professional field, WTP for brand which is considered as well-known.
H3a. WTP for national and international online newspapers is higher that WTP for local online newspapers.
H3b. WTP for special interest online newspapers is higher than WTP for general interest online newspapers.
WTP for a local online newspaper, WTP for a national online newspaper, WTP for an international online newspaper, WTP for a special interest online newspaper, WTP for a general interest online newspaper.
Questionnaire
Questions |
Answers |
|
Do you currently have an online subscription to any of the newspapers? |
Yes No |
|
What is the maximum price you would be likely to pay per month for an online newspaper: That corresponds to your interests/hobbies That corresponds to your professional field Which brand you consider as well-known worldwide |
Less than $5 $5 - $10 $11 - $15 More than $15 |
|
What is the maximum price you would be likely to pay per month for: A local online newspaper (i.e., your town media) A national online newspaper An international online newspaper A special interest newspaper (that focuses on specific topics) A general interest newspaper (that covers a wide variety of topics, non-specialized) |
Less than $5 $5 - $10 $11 - $15 More than $15 |
|
What is your gender? |
Male Female Other |
|
What is your age7 |
Under 18 18-24 years old 25-34 years old 35-44 years old 45-54 years old Over 55 |
|
What is your highest level of education? |
Less than High School High School Associate Degree or Some College Bachelor`s Master`s Doctorate Professional Other |
|
Which of these describes your monthly income? |
$0 - $499 $500 - $999 $1000 - $1499 $1500 - $1999 $2000 - $2499 $2500 - $2999 $3000 - $3499 $3500 - $3999 $4000 - $4499 $4500 - $4999 $5000 + |
Figure 1. Distribution of data by factor affecting WTP
Figure 2. Distribution by gender
Figure 3. Distribution by level of education
Figure 4. Distribution by monthly income group
Figure 5. Distribution by age group
Figure 6. Distribution by presence of online subscriptions to any of the newspapers
Table 1 Correlation matrix for personal factors
correspondence to interests |
correspondence to prof.field |
brand as well-known |
||||
Spearman's rho |
correspondence to interests |
Correlation Coefficient |
1,000 |
,725** |
,868** |
|
Sig. (2-tailed) |
. |
,000 |
,000 |
|||
N |
385 |
385 |
385 |
|||
сorrespondence to prof.field |
Correlation Coefficient |
,725** |
1,000 |
,677** |
||
Sig. (2-tailed) |
,000 |
. |
,000 |
|||
N |
385 |
385 |
385 |
|||
brand as well-known |
Correlation Coefficient |
,868** |
,677** |
1,000 |
||
Sig. (2-tailed) |
,000 |
,000 |
. |
|||
N |
385 |
385 |
385 |
Table 2 Correlation matrix for different types of online newspapers
local |
national |
international |
special |
general |
||||
Spearman's rho |
local |
Correlation Coefficient |
1,000 |
,794** |
,654** |
,539** |
,600** |
|
Sig. (2-tailed) |
. |
,000 |
,000 |
,000 |
,000 |
|||
N |
385 |
385 |
385 |
385 |
385 |
|||
national |
Correlation Coefficient |
,794** |
1,000 |
,812** |
,614** |
,736** |
||
Sig. (2-tailed) |
,000 |
. |
,000 |
,000 |
,000 |
|||
N |
385 |
385 |
385 |
385 |
385 |
|||
international |
Correlation Coefficient |
,654** |
,812** |
1,000 |
,634** |
,739** |
||
Sig. (2-tailed) |
,000 |
,000 |
. |
,000 |
,000 |
|||
N |
385 |
385 |
385 |
385 |
385 |
|||
special |
Correlation Coefficient |
,539** |
,614** |
,634** |
1,000 |
,756** |
||
Sig. (2-tailed) |
,000 |
,000 |
,000 |
. |
,000 |
|||
N |
385 |
385 |
385 |
385 |
385 |
|||
general |
Correlation Coefficient |
,600** |
,736** |
,739** |
,756** |
1,000 |
||
Sig. (2-tailed) |
,000 |
,000 |
,000 |
,000 |
. |
|||
N |
385 |
385 |
385 |
385 |
385 |
|||
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