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The Apple Watch: Marketing Research

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1. Sampling 1.1 what are the characteristics of your sample (e.g., demographics)? How does it differ from the sample that you would ideally reach for this survey? Explain.
The sample that was analyzed for this report consisted of 58 respondents out of which only 50 fully completed the survey. The gender distribution of these 50 respondents was 31 male and 19 female. The sample ages ranged between 17 and 48 years old. The mode age is 20 & 21 with both having 11 participants. Regarding the participant nationalities, we had 13 different nationalities, with the mode nationality being Dutch, with 28 participants.

Preferably, we would have liked to have a 50-50% ratio of males and females in order to have a more representative set of data regarding gender within the population. Furthermore, the age range of our sample was not illustrative of the population. As to better represent the population’s age distribution, we should have ideally sampled participants with ages ranging between 17 & 65. In regards to the nationality, we would have preferred a higher percentage of Dutch participants, preferably around 75%; however we managed to retain an above average ratio of Dutch participants, specifically 56%. Conversely, to decrease the possibility of a subjective outcome our sample participants diversified greatly.

2. Coding the PITT scale (2 points)
The survey includes the Personal Innovativeness in the Domain of Information Technology scale.

2.1 Did you transform any of the items in the scale before the analysis? How?
Before we did the analysis we recoded the variable ‘in general I am hesitant to try out new information technologies’ to create consistency among our PITT questions. We changed the scale so 1 became 7, 2 became 6 etc. After this a high score on a PITT question indicates a more positive attitude towards information technologies.
2.2 What is the Cronbach’s alpha of the scale for your sample? Can it be considered acceptable?
The Cronbach’s alpha of the scale of our sample is 0.624. Since Cronbach’s alpha is considered to be reliable for 0.70 and higher, our alpha is not acceptable. (See Appendix 1)

3. Importance of Smartwatch Characteristics

3.1 Are there significant differences in the perceived importance of the technological characteristics of a generic smartwatch?

H0: importance is 4
H1: importance is different from 4

To argue if the importance of the different characteristics differed significantly we did a one-sample t-test on all the characteristics. We took the test value of 4 since that was the point where people were indifferent. We used a confidence interval of 95% of the mean difference any value outside this would make the rejection statistically significant.

Characteristic and mean difference | 95% Confidence intervalLower and Upper | Precise timekeeping = 2.060 | 1.74 2.38 | Fitness Tracking = 0.880 | 0.54 1.22 | Communication with other smartphone users = 0.640 | 0.21 1.07 | Connectivity with mobile phones = 1.480 | 1.11 1.85 | High battery life = 2.680 | 2.41 2.95 |

Haven observed that no value fell outside the confidence level; we can conclude that the characteristics are important. We cannot reject H0 in favor of H1. The characteristic with the highest mean of a 6.68 was “high battery life” and the characteristic with the lowest mean of 4.64 was “connectivity with other smartphone users”. We can now see which characteristic people found the most and least important respectively.

3.2 Are there significant differences in the perceived importance of the on-technological characteristics of a generic watch?

H0: importance is 4
H1: importance is different from 4

We conducted the same test as in the previous question to measure if there was a significant difference in the non-technological characteristics.

Characteristic and mean difference | 95 % Confidence intervalLower and Upper | Elegance = 2.040 | 1.80 2.28 | Reliability = 2.440 | 2.24 2.64 | Quality/Price Ratio = 2.240 | 2.01 2.47 | Practicality = 1.940 | 1.69 2.19 |

None of the measurements fall outside the confidence interval. So we cannot reject H0 in favor of H1. The measurements do not significantly differ. The characteristic people found most important was reliability with a mean of 6.44 and the least important characteristic was practicality with a mean of 5.94.

3.3 Do Apple users and non-users differ in the importance of elegance?

When we only select the respondents that own an apple product the mean for the question if they find elegance important is 6,04 on a scale form 1 to 7. This implies that they value elegance as ‘important’. However, when we only select respondents that do not own a single apple product the mean remains almost the same with 6 on a scale from 1 to 7, meaning they find elegance ‘important’. Therefore, we cannot conclude that there is a difference in the way apple users and non-apple users perceive elegance. It must be noted that there are only 3 non-apple users in our survey.

4. Apple vs. Competitors

4.2 Are people with a more favorable attitude towards Apple more likely to consider buying an Apple smartwatch? Are they more or less likely to consider buying Nike smartwatch? A Samsung smartwatch?

This question deals with two interval variables, so we are going to use Pearson Correlation. We will measure the linear relationship between the two variables.

H0: a favorable attitude towards Apple and considering buying an Apple smartwatch is independent
H1: when people have a more favorable attitude towards Apple, they are more likely to buy an Apple smartwatch

Favorable attitude towards Apple w.r.t brand | Pearson Correlation = R/P-value | Apple w.r.t Apple | 0.469/0.001 | Apple w.r.t Nike | -,0.125/0.392 | Apple w.r.t Samsung | -0.220/0.129 |

Apple w.r.t Apple
The P-value of .001 is lower than ≤.05 so we can conclude that there is a significant relationship between a favorable attitude towards Apple and considering buying an Apple watch. Since the Pearson correlation is positive we can state that the more favorable people are towards Apple, the more likely they are will buy an Apple smartwatch.

Apple w.r.t Nike/Samsung
The P-value of .392 and .129 is higher than ≤.05. So we can conclude that there is no significant relationship between a favorable attitude towards Apple and considering buying a smartwatch from Samsung and Nike. But if there were a relationship it would have been a negative one since R is a negative number.

4.3 Does PITT affect the likelihood of considering buying a smartwatch?

H0: PITT does not affect the likelihood of considering buying a smartwatch
H1: The higher the PITT, the higher the consideration in buying a smartwatch will be

PITT question | Pearson Correlation=R/P-value | 1. If I heard about a new (information) technology, I would look for ways to experiment with it | 0.074/0.608 | 2. I like to experiment with new (information) technologies. | -0.025/0.861 | 3. Among my peers, I am usually the first to try out new (information) technologies | 0.305/0.032 | 4. In general, I am hesitant to try out new (information) technologies. | 0.302/0.033 |

The p-value of the first two PITT questions is higher than the .05. This means that there is no significant correlation between these two questions and the likelihood in buying a smartwatch. So these two PITT questions do not affect the likelihood in buying a smartwatch.

The last two questions both have a p-value lower than 0.05. This means that there is a significant correlation between these two variables and considering buying a smartwatch. They both have a positive R, so we can conclude that there is a positive relationship. So the higher these two PITT are, the more likely people will buy a smartwatch.

5. Apple Watch and its different versions

5.1 Are respondents significantly satisfied/unsatisfied about how the AW scores on the technological dimensions (i.e., the four questions including “precise timekeeping”)?

H0: level of satisfaction is 4
H1: level of satisfaction is different from 4

In order to be able to see if the respondents are significantly satisfies/unsatisfied regarding the different characteristics we did a one-sample t-test on all the characteristics. The test value is 4 since that is the point where respondents are indifferent. We used a confidence interval of 95% of the mean difference, any value outside this would make the rejection statistically significant

Characteristic and mean difference | 95% Confidence intervalLower and Upper | Precise timekeeping = 5.840 | 5.56 6.12 | Fitness Tracking = 5.300 | 5.01 5.59 | Communication with other smartphone users = 5.300 | 4.90 5.70 | Connectivity with mobile phones = 5.440 | 5.07 5.81 | High battery life = 5.714 | 5.30 6.13 |

Having observed that no value fell outside the confidence level; we can conclude that the characteristics are moderately satisfied. We cannot reject H0 in favor of H1.
5.2 Are there any significant differences in how the two versions score on any of the non-technological dimensions and on purchase intentions?
H0: no significant differences between the pairs
H1: significant differences between the pairs.

In order to compare the scores of the two versions we did a paired t-test. We used a confidence interval of 95% of the mean difference; any value outside this would make the rejection statistically significant. Pairs and mean difference | 95% Confidence intervalLower and Upper | Pair 1: Elegance for Apple watch and Apple watch sport = 1.240 | 0.797 1.683 | Pair 2: Reliability for Apple watch and Apple watch sport = 0.260 | 0.025 0.495 | Pair 3: Quality/price ratio for Apple watch and Apple watch sport = -0.260 | -0.653 0.133 | Pair 4: Practicality for Apple watch and Apple watch sport = -0.449 | -0.770 -0.128 | Pair 5: purchase intentions for Apple watch and Apple watch sport = 0.204 | -0.254 0.662 |

Having observed that no value fell outside the confidence level; we can conclude that there are no significant differences in the non-technological dimensions and purchase intentions for the two versions. We cannot reject H0 in favor of H1. What can be noted is that the mean difference of pair 1, 2 and 5 are positive, this implies that the respondents favored the regular apple watch over the Apple watch sport on elegance, reliability and purchase intentions. The same goes for pair 3 and 4, since the mean differences are negative this implies that the respondents favored the Apple watch sport over the regular Apple watch on practicality and quality/price ratio.

5.3 Plot together the two different versions of the AW based on how they are perceived on the three non-technological dimensions and purchase intentions (see book p.193, exhibit 11.7)


Apple watch Apple watch sport 5.4 How do purchase intentions (both for the AW and the AW Sport) differ between people who currently use vs. do not use an iPhone?
For the purchase intentions of respondents who currently own an IPhone we first filtered out the respondents that did not own an IPhone. Comparing the means of the Apple watch and the Apple watch sport we see that people are more favorable towards the apple watch. However this slightly higher mean of 3.88 indicates that respondents are undecided in general. For the respondents that do not own an IPhone the overall means for both versions is lower. This time the highest mean is from the Apple watch sport with 3.18, this still means that the respondents were somewhat unlikely to purchase an Apple watch sport. In short, the purchase intentions for respondents with an IPhone are slightly higher than for the respondents without an IPhone.
5.5 How do purchase intentions (both for the AW and the AW Sport) differ between people who wear vs. do not wear a watch?
The purchase intentions for respondents that usually wear a watch are slightly higher overall compared to the respondents that usually do not wear a watch. The Apple watch scores higher than the Apple watch sport for the respondents that wear watches while the Apple watch and Apple watch sport score exactly the same for respondents that do not wear watches.

6. Brand/Product advantages
6.1 Is there any difference in how likely respondents are to consider buying a smartwatch from different brands?

First, we calculated all the means of the different likelihoods of buying a smartwatch from all the different brands:

As we are interested in seeing if there are significant differences in the likelihood of buying a different smartwatch instead of the Apple Watch, we had to perform a one-sample t-test using the mean of Apple as our test statistic and the means of the other brands as our sample statistics:

H0 = the means of the likelihood of buying a smartwatch of a different brand do not differ
H1 = the means of the likelihood of buying a smartwatch of a different brand do differ

As we can see from our one sample t-test table below the significance value of both of the tests is lower than 0.05; therefore we can reject our H0 and can say at a 95% confidence level that there is significant difference in how likely respondents are to consider buying a smartwatch from different brands.

6.2 Is there any difference in how much respondents would be willing to spend for a smartwatch from different brands?
First, we calculated the means of the amount of money that people are willing to pay for each brand: As we are interested in seeing if there are significant differences in the amount of money people are willing to pay for the different brands compared to the amount of money people are willing to pay for the Apple watch, we had to perform a one sample t-test using the mean of Apple as our test statistic and the means of the other brands as our sample statistics:

H0 = the means of the amount of money people are willing to pay for the different brands compared to the amount of money they want to pay for the Apple Watch do not differ.

H1 = the means of the amount of money people are willing to pay for the different brands compared to the amount of money they want to pay for the Apple Watch do differ.

As we can see from our one sample t-test table the significance value of both of the tests is lower than 0.05; therefore we can reject our H0 and can say at a 95% confidence level that: the means of the amount of money people are willing to pay for the different brands compared to the amount of money they want to pay for the Apple Watch do differ

6.3. Do these results depend on whether people have an iPhone or not?

To see if the results from question 6.1 and 6.2 depend on whether people have an iPhone or not we performed an independent sample t-test and used to the group statistics to see if the means changed. For the “Which Apple products do you currently use –iPhone. If yes, which version” variable we made two groups: one group with people that stated they use an iPhone and one group with people that stated they did not use an iPhone. We named the groups 1 and 0 for iPhone users and non-users respectively. First we compared this to the variables from 6.1, namely: the likelihood of buying the smartwatches of the different companies (Nike, Samsung and Apple). As we can see from the Group Statistics table of the test below, the means for the likelihood of buying a Nike smartwatch and a Samsung smartwatch are both lower for iPhone users than for the non-users. For a smartwatch made by Apple the opposite is the case. This means that the iPhone non-users from our sample are more likely to buy a smartwatch from a different company than Apple than the iPhone users from our sample, they are more likely to buy a smartwatch made by Apple than by any other company. This means that the results from 6.1 do in fact depend on whether the respondent is an iPhone user or not.

For the second part we compared our 0 and 1 group to the mean amount of money people are willing to pay for the different smartwatches to see if this depends on whether people have an iPhone or not. As visible in the table below, iPhone users are willing to pay more money for the Nike smartwatch than non-users. This is also the case for a smartwatch made by Apple. However, for a Samsung smartwatch the opposite is the case; the non-users are willing to pay more than the iPhone users here. This means that the results from 6.2 do in fact depend on whether the respondent is an iPhone user or not.

7. Interaction with the iPhone
7.1 Are current iPhone users happy or unhappy that the AW requires an iPhone to operate? How about iPhone non-users? Are iPhone users and non-users differently happy?

For this question we performed an independent sample t-test and looked at the differences of the means. For the “Which Apple products do you currently use –iPhone. If yes, which version” variable we made two groups: one group with people that stated they use an iPhone and one group with people that stated they did not use an iPhone. We named the groups 1 and 0 for iPhone users and non-users respectively. From the group statistics table above we can see that the mean of group 0 is significantly lower than the mean of group 1. Considering the fact that the scale is from 1 to 7 (1 meaning very unhappy and 7 meaning very happy) this means that people who have an iPhone are happier that the Apple Watch requires the iPhone to operate than people who do not have an iPhone.
7.2 Are current iPhone users likely or unlikely to buy a new iPhone because of the AW? How about iPhone non-users? Are iPhone users and non-users differently likely to buy a new iPhone?

For this question we performed another independent sample t-test and looked at the differences of the means. For the “Which Apple products do you currently use –iPhone. If yes, which version” variable we made two groups: one group with people that stated they use an iPhone and one group with people that stated they did not use an iPhone. We named the groups 1 and 0 for iPhone users and non-users respectively. From the group statistics table above we can see that the mean of group 0 is significantly lower than the mean of group 1. Considering the fact that the scale is from 1 to 7 (1 meaning very unlikely and 7 meaning very likely) this means that people who have an iPhone are more likely to buy a new iPhone in the light of the requirements and possibilities offered by the Apple Watch than people that do not use an iPhone

8. Additional Analyses

According to Apple their main consumers are high-educated people. Because they earn more and thus can afford the Apple products. They also state that these professionals use their product for work. We are going to research if there is a correlation between the likeliness o buying the Apple smart watch and a high education. We want to find out if high-educated people are more likely to buy the watch.

H0: there is no connection between a high education and considering buying an Apple smartwatch
H1: the higher the education, the more likely people will buy an Apple smartwatch

We will conduct a Pearson correlation to see if and what the connection is. The p-value is 0.172 and the Pearson correlation is -0.196. The p-value is higher than 0.05. This means that there is no significant relationship between a higher level of education and the likeliness in buying the Apple watch.

9. Discussion (865 words)

After this research we had quite some interesting points to note. Firstly, and contrary to our expectations, respondents to our survey found that long battery life and precise time-keeping were the most important aspects of smartwatches. Up until now, most of the marketing for the Apple Watch, but also other smartwatches, like the Samsung Gear, has been focused on the connectivity with the respective smartphones and its autonomous functions. Apparently, this is not what the customer would find key in a smartwatch, although respondents also found these facets relatively important. This would suggest that a shift in the marketing of the Apple Watch might be necessary, in order to fully exploit its benefits.

Furthermore, price and reliability were preferred above elegance and practicality. This indicates that potential customers value a product that is relatively cheap yet sturdy, instead of a more elaborate and smooth one. This is not completely in line with Apple’s modus operandi, as most of their products have a very sleek design and produced to keep it as simple as possible, whilst priced premium compared to competitors. This would also be an aspect that should be taken in consideration in order to maximize the effects of any marketing campaign.

Respondents seem to be satisfied with the technological dimensions of the Apple Watch, although most are just satisfied. This shows there might be room for improvement on that field. Secondly, there is also some difference between the means of the non-technological dimensions for the different versions of the Apple Watch. Respondents tend to score the normal Apple Watch higher on elegance and reliability, and the Apple Watch Sport on practicality and price-quality ratio. This means it might be a wise move to have two different marketing approaches for both versions.

The normal Apple Watch could be marketed as a fashion accessory of high quality, like Apple usually portrays its products. The focus should be on its sleek design and Apple’s famous accessibility. The relatively high price would be justified by its looks and functions. The Apple Watch Sport should be marketed differently though, in order to make sure the right demographic will be appealed to. As practicality and price were rated relatively high, these should be exploited. The Apple Watch sport could be marketed as a cheaper and simpler alternative to the Apple Watch, just as the iPhone 5C was to the normal iPhone 5. By emphasizing its quality, Apple can also avoid the Sport edition being seen as a less qualitative version.

Another point of interest is the difference in willingness to buy between iPhone users and non-iPhone users. IPhone users are generally undecided whether to purchase an Apple Watch, whilst non-iPhone users were somewhat unlikely to buy one, although the Apple Watch sport had a higher mean than the regular one. Then there is also the slight difference in purchase intentions between usual watch wearers and non-wearers, as respondents that wear watches are more inclined to buy an Apple Watch, and specifically the ‘normal’ edition.

There is also interesting information regarding pricing. Generally, the maximum price respondents were willing to pay for a smart watch of Nike was €148, Samsung €185 and Apple €273. There is also a significant difference between these values. This shows that our respondents are willing to pay a relatively higher price for an Apple Watch than for other brands. This indicates that Apple should not try to compete on price, as people are already willing to pay a premium compared to other brands. It should rather focus on its tested and tried strategy of focusing on elegance and simplicity. However, it should be taken account that both pricing and willingness to buy of different brands depend on whether the respondent has an iPhone or not. From an independent sample t-test we found out non-iPhone users are more likely to buy a non-Apple Smartwatch, and iPhones are less likely to buy a non-Apple smartwatch.

Lastly, there were also some interesting points to note about the interaction between iPhone and Apple Watch. As expected, iPhone users are happier that the Apple Watch requires an iPhone to function. Also, iPhone users are more likely to buy a newer version in order to be able to have an Apple Watch, than non-iPhone users are to buy an iPhone for the same reason. This shows the focus should also be on existing customers, meaning people with Apple smartphones, as they are willing to update their phone in order to be able to interact with the smart watch.

The conclusion is that Apple should follow several courses in order to adequately appeal to their customer base. The focus of the campaign should be on the regular Apple Watch, as iPhone users are more likely to buy an Apple Watch, and they prefer the design and famous reliability of Apple, which matches with the profile of the regular model. The Sports edition should also be promoted, but more like a cheaper and simpler alternative to the regular edition. Apple should also avoid trying to compete pricewise, as their potential customers do not mind to pay a premium price for their products; they should rather focus on their strong points like design and practicality.

10. Appendix

Appendix 1 (2.2) Case Processing Summary | | N | % | Cases | Valid | 50 | 100,0 | | Excludeda | 0 | ,0 | | Total | 50 | 100,0 | a. Listwise deletion based on all variables in the procedure. |

Reliability Statistics | Cronbach's Alpha | N of Items | ,624 | 4 |

Item Statistics | | Mean | Std. Deviation | N | If I heard about a new (information) technology, I would look for ways to experiment with it. | 4,9000 | 1,43214 | 50 | Among my peers, I am usually the first to try out new (information) technologies | 3,9200 | 1,70042 | 50 | I like to experiment with new (information) technologies. | 4,6400 | 1,58771 | 50 | In general I am hesitant to try new (information) technologies | 4,6000 | 1,84059 | 50 |

Scale Statistics | Mean | Variance | Std. Deviation | N of Items | 18,0600 | 20,384 | 4,51487 | 4 |

Item-Total Statistics | | Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item-Total Correlation | Cronbach's Alpha if Item Deleted | If I heard about a new (information) technology, I would look for ways to experiment with it. | 13,1600 | 11,892 | ,652 | ,390 | Among my peers, I am usually the first to try out new (information) technologies | 14,1400 | 11,756 | ,492 | ,484 | I like to experiment with new (information) technologies. | 13,4200 | 11,596 | ,580 | ,422 | In general I am hesitant to try new (information) technologies | 13,4600 | 16,376 | ,042 | ,816 |

Appendix 2 (3.1) One-Sample Statistics | | N | Mean | Std. Deviation | Std. Error Mean | Precise Timekeeping | 50 | 6,06 | 1,132 | ,160 | Fitness Tracking | 50 | 4,88 | 1,206 | ,171 | Communication with other smartwatch users | 50 | 4,64 | 1,522 | ,215 | Connectivity with mobile phones | 50 | 5,48 | 1,313 | ,186 | High battery life | 50 | 6,68 | ,935 | ,132 |

One-Sample Test | | Test Value = 4 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | Precise Timekeeping | 12,865 | 49 | ,000 | 2,060 | 1,74 | 2,38 | Fitness Tracking | 5,159 | 49 | ,000 | ,880 | ,54 | 1,22 | Communication with other smartwatch users | 2,973 | 49 | ,005 | ,640 | ,21 | 1,07 | Connectivity with mobile phones | 7,970 | 49 | ,000 | 1,480 | 1,11 | 1,85 | High battery life | 20,258 | 49 | ,000 | 2,680 | 2,41 | 2,95 |

Appendix 3 (3.2)

One-Sample Statistics | | N | Mean | Std. Deviation | Std. Error Mean | Elegance | 50 | 6,04 | ,832 | ,118 | Reliability | 50 | 6,44 | ,705 | ,100 | Quality/Price Ratio | 50 | 6,24 | ,797 | ,113 | Practicality | 50 | 5,94 | ,890 | ,126 |

One-Sample Test | | Test Value = 4 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | Elegance | 17,337 | 49 | ,000 | 2,040 | 1,80 | 2,28 | Reliability | 24,490 | 49 | ,000 | 2,440 | 2,24 | 2,64 | Quality/Price Ratio | 19,875 | 49 | ,000 | 2,240 | 2,01 | 2,47 | Practicality | 15,412 | 49 | ,000 | 1,940 | 1,69 | 2,19 |

Appendix 4 (3.3)

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | Elegance | 47 | 3 | 7 | 6,04 | ,859 | Valid N (listwise) | 47 | | | | |

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | Elegance | 3 | 6 | 6 | 6,00 | ,000 | Valid N (listwise) | 3 | | | | |

Appendix 5 (4.2) Correlations | | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | What is your attitude towards Apple as a brand? | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Pearson Correlation | 1 | ,469** | | Sig. (2-tailed) | | ,001 | | N | 50 | 49 | What is your attitude towards Apple as a brand? | Pearson Correlation | ,469** | 1 | | Sig. (2-tailed) | ,001 | | | N | 49 | 49 | **. Correlation is significant at the 0.01 level (2-tailed). |

Correlations | | What is your attitude towards Apple as a brand? | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Nike | What is your attitude towards Apple as a brand? | Pearson Correlation | 1 | -,125 | | Sig. (2-tailed) | | ,392 | | N | 49 | 49 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Nike | Pearson Correlation | -,125 | 1 | | Sig. (2-tailed) | ,392 | | | N | 49 | 50 |

Correlations | | What is your attitude towards Apple as a brand? | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Samsung | What is your attitude towards Apple as a brand? | Pearson Correlation | 1 | -,220 | | Sig. (2-tailed) | | ,129 | | N | 49 | 49 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Samsung | Pearson Correlation | -,220 | 1 | | Sig. (2-tailed) | ,129 | | | N | 49 | 50 |

Correlations | | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | If I heard about a new (information) technology, I would look for ways to experiment with it. | I like to experiment with new (information) technologies. | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Pearson Correlation | 1 | ,074 | -,025 | | Sig. (2-tailed) | | ,608 | ,861 | | N | 50 | 50 | 50 | If I heard about a new (information) technology, I would look for ways to experiment with it. | Pearson Correlation | ,074 | 1 | ,666** | | Sig. (2-tailed) | ,608 | | ,000 | | N | 50 | 50 | 50 | I like to experiment with new (information) technologies.. | Pearson Correlation | -,025 | ,666** | 1 | | Sig. (2-tailed) | ,861 | ,000 | | | N | 50 | 50 | 50 | **. Correlation is significant at the 0.01 level (2-tailed). |

Correlations | | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Among my peers, I am usually the first to try out new (information) technologies | In general, I am hesitant to try out new (information) technologies. | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Pearson Correlation | 1 | ,305* | ,302* | | Sig. (2-tailed) | | ,032 | ,033 | | N | 50 | 50 | 50 | Among my peers, I am usually the first to try out new (information) technologies | Pearson Correlation | ,305* | 1 | ,023 | | Sig. (2-tailed) | ,032 | | ,871 | | N | 50 | 50 | 50 | In general, I am hesitant to try out new (information) technologies. | Pearson Correlation | ,302* | ,023 | 1 | | Sig. (2-tailed) | ,033 | ,871 | | | N | 50 | 50 | 50 | *. Correlation is significant at the 0.05 level (2-tailed). |

Appendix 6 (5.1)

One-Sample Statistics | | N | Mean | Std. Deviation | Std. Error Mean | Precise timekeeping | 50 | 5,84 | ,997 | ,141 | Fitness tracking | 50 | 5,30 | 1,015 | ,144 | Communication with other smarthwatch users | 50 | 5,30 | 1,403 | ,198 | Connectivity with mobile phone | 50 | 5,44 | 1,312 | ,186 | High battery life | 49 | 5,71 | 1,443 | ,206 |

One-Sample Test | | Test Value = 0 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | Precise timekeeping | 41,414 | 49 | ,000 | 5,840 | 5,56 | 6,12 | Fitness tracking | 36,916 | 49 | ,000 | 5,300 | 5,01 | 5,59 | Communication with other smarthwatch users | 26,705 | 49 | ,000 | 5,300 | 4,90 | 5,70 | Connectivity with mobile phone | 29,324 | 49 | ,000 | 5,440 | 5,07 | 5,81 | High battery life | 27,713 | 48 | ,000 | 5,714 | 5,30 | 6,13 |

Appendix 7 (5.2)

Paired Samples Statistics | | Mean | N | Std. Deviation | Std. Error Mean | Pair 1 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not at all elegant:Very Elegant | 5,04 | 50 | 1,511 | ,214 | | Please rate the Apple Watch Sport based on the following characteristics:-Not at all elegant:Very Elegant | 3,80 | 50 | 1,578 | ,223 | Pair 2 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not Reliable:Very Reliable | 5,16 | 50 | 1,095 | ,155 | | Please rate the Apple Watch Sport based on the following characteristics:-Not Reliable:Very Reliable | 4,90 | 50 | 1,199 | ,170 | Pair 3 | Please rate the ?regular? Apple Watch based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio | 3,90 | 50 | 1,529 | ,216 | | Please rate the Apple Watch Sport based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio | 4,16 | 50 | 1,633 | ,231 | Pair 4 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not practical at all:Very Practical | 4,59 | 49 | 1,337 | ,191 | | Please rate the Apple Watch Sport based on the following characteristics:-Not practical at all:Very Practical | 5,04 | 49 | 1,258 | ,180 | Pair 5 | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely | 3,43 | 49 | 1,979 | ,283 | | How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 3,22 | 49 | 1,699 | ,243 |

Paired Samples Correlations | | N | Correlation | Sig. | Pair 1 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not at all elegant:Very Elegant & Please rate the Apple Watch Sport based on the following characteristics:-Not at all elegant:Very Elegant | 50 | ,491 | ,000 | Pair 2 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not Reliable:Very Reliable & Please rate the Apple Watch Sport based on the following characteristics:-Not Reliable:Very Reliable | 50 | ,743 | ,000 | Pair 3 | Please rate the ?regular? Apple Watch based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio & Please rate the Apple Watch Sport based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio | 50 | ,620 | ,000 | Pair 4 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not practical at all:Very Practical & Please rate the Apple Watch Sport based on the following characteristics:-Not practical at all:Very Practical | 49 | ,629 | ,000 | Pair 5 | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely & How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 49 | ,634 | ,000 |

Paired Samples Test | | Paired Differences | t | df | Sig. (2-tailed) | | Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | | | | | | | | Lower | Upper | | | | Pair 1 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not at all elegant:Very Elegant - Please rate the Apple Watch Sport based on the following characteristics:-Not at all elegant:Very Elegant | 1,240 | 1,559 | ,221 | ,797 | 1,683 | 5,624 | 49 | ,000 | Pair 2 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not Reliable:Very Reliable - Please rate the Apple Watch Sport based on the following characteristics:-Not Reliable:Very Reliable | ,260 | ,828 | ,117 | ,025 | ,495 | 2,220 | 49 | ,031 | Pair 3 | Please rate the ?regular? Apple Watch based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio - Please rate the Apple Watch Sport based on the following characteristics:-Bad Quality/Price Ratio:Good Quality/Price Ratio | -,260 | 1,382 | ,195 | -,653 | ,133 | -1,330 | 49 | ,190 | Pair 4 | Please rate the ?regular? Apple Watch based on the following characteristics:-Not practical at all:Very Practical - Please rate the Apple Watch Sport based on the following characteristics:-Not practical at all:Very Practical | -,449 | 1,119 | ,160 | -,770 | -,128 | -2,808 | 48 | ,007 | Pair 5 | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely - How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | ,204 | 1,594 | ,228 | -,254 | ,662 | ,896 | 48 | ,375 |

Appendix 8 (5.4)

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely | 33 | 1 | 7 | 3,88 | 1,996 | How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 32 | 1 | 6 | 3,25 | 1,741 | Valid N (listwise) | 32 | | | | |

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely | 17 | 1 | 6 | 2,65 | 1,693 | How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 17 | 1 | 6 | 3,18 | 1,667 | Valid N (listwise) | 17 | | | | |

Appendix 9 (5.5)

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely | 35 | 1 | 7 | 3,57 | 1,989 | How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 34 | 1 | 6 | 3,24 | 1,793 | Valid N (listwise) | 34 | | | | |

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | How likely is it for you to buy the ?regular? Apple Watch?-Not at all Likely:Very Likely | 15 | 1 | 7 | 3,20 | 1,971 | How likely is it for you to buy the Apple Sport Watch?-Not at all Likely:Very Likely | 15 | 1 | 6 | 3,20 | 1,521 | Valid N (listwise) | 15 | | | | |

Appendix 10 (6.1) Report | | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Nike | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Samsung | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Mean | 3.76 | 4.02 | 5.20 | N | 50 | 50 | 50 | Std. Deviation | 1.954 | 2.171 | 1.726 | | | | |

One-Sample Test | | Test Value = 5.20 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Nike | -5.211 | 49 | .000 | -1.440 | -2.00 | -.88 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Samsung | -3.843 | 49 | .000 | -1.180 | -1.80 | -.56 |

Appendix 11 (6.2)

Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Nike € | 50 | 0 | 500 | 148.46 | 118.886 | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Samsung € | 50 | 0 | 500 | 185.18 | 140.449 | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Apple € | 50 | 0 | 750 | 273.96 | 165.171 | Valid N (listwise) | 50 | | | | |

One-Sample Test | | Test Value = 273.96 | | t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | | | | | | Lower | Upper | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Nike € | -7.464 | 49 | .000 | -125.500 | -159.29 | -91.71 | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Samsung € | -4.470 | 49 | .000 | -88.780 | -128.70 | -48.86 |

Appendix 12 (6.3)

Group Statistics | | Which Apple products do you currently use?-iPhone. If yes, which version? | N | Mean | Std. Deviation | Std. Error Mean | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Nike | 0 | 16 | 3.88 | 2.125 | .531 | | 1 | 34 | 3.71 | 1.899 | .326 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Samsung | 0 | 16 | 4.69 | 2.120 | .530 | | 1 | 34 | 3.71 | 2.154 | .369 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | 0 | 16 | 4.25 | 2.145 | .536 | | 1 | 34 | 5.65 | 1.300 | .223 |

Group Statistics | | Which Apple products do you currently use?-iPhone. If yes, which version? | N | Mean | Std. Deviation | Std. Error Mean | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Nike € | 0 | 16 | 133.75 | 88.910 | 22.228 | | 1 | 34 | 155.38 | 131.298 | 22.517 | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Samsung € | 0 | 16 | 191.25 | 134.257 | 33.564 | | 1 | 34 | 182.32 | 145.157 | 24.894 | What is the maximum amount of money you would pay for a smartwatch that is marketed by the follow...-Apple € | 0 | 16 | 206.25 | 132.759 | 33.190 | | 1 | 34 | 305.82 | 170.964 | 29.320 |

Appendix 13 (7.1) Group Statistics | | Which Apple products do you currently use?-iPhone. If yes, which version? | N | Mean | Std. Deviation | Std. Error Mean | How happy/unhappy are you about the fact that the Apple Watch requires the iPhone to operate? | 0 | 16 | 2.44 | 1.590 | .398 | | 1 | 34 | 4.09 | 1.694 | .291 |

Appendix 14 (7.2) Group Statistics | | Which Apple products do you currently use?-iPhone. If yes, which version? | N | Mean | Std. Deviation | Std. Error Mean | How likely are you to buy a new iPhone in the light of the requirements and possibilities offered by the Apple Watch | 0 | 16 | 3.88 | 1.746 | .437 | | 1 | 33 | 5.76 | .792 | .138 |

Appendix 15 (8) Correlations | | What is your highest education level? | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | What is your highest education level? | Pearson Correlation | 1 | -,196 | | Sig. (2-tailed) | | ,172 | | N | 50 | 50 | How likely would you be to consider buying a smartwatch that is marketed by the following compani...-Apple | Pearson Correlation | -,196 | 1 | | Sig. (2-tailed) | ,172 | | | N | 50 | 50 |

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