1,720,966 research outputs found
How do different devices impact users' web browsing experience?
The digital world presents many interfaces, among which the desktop and mobile device platforms are dominant. Grasping the differential user experience (UX) on these devices is a critical requirement for developing user focused interfaces that can deliver enhanced satisfaction. This study specifically focuses on the user's web browsing experience while using desktop and mobile.
The thesis adopts quantitative methodology. This amalgamation presents a comprehensive understanding of the influence of device specific variables, such as loading speed, security concerns and interaction techniques, which are critically analyzed. Moreover, various UX facets including usability, user interface (UI) design, accessibility, content organization, and user satisfaction on both devices were also discussed.
Substantial differences are observed in the UX delivered by desktop and mobile devices, dictated by inherent device attributes and user behaviors. Mobile UX is often associated with personal, context sensitive use, while desktop caters more effectively to intensive, extended sessions.
A surprising revelation is the existing discrepancy between the increasing popularity of mobile devices and the persistent inability of many websites and applications to provide a satisfactory mobile UX. This issue primarily arises from the ineffective adaptation of desktop-focused designs to the mobile, underscoring the necessity for distinct, device specific strategies in UI development.
By furnishing pragmatic strategies for designing efficient, user-friendly and inclusive digital interfaces for both devices; the thesis contributes significantly to the existing body of literature. An emphasis is placed on a device-neutral approach in UX design, taking into consideration the unique capabilities and constraints of each device, thereby enriching the expanding discourse on multiservice user experience. As well as this study contributes to digital marketing and targeted advertising perspectives
How do different devices impact users' web browsing experience?
The digital world presents many interfaces, among which the desktop and mobile device platforms are dominant. Grasping the differential user experience (UX) on these devices is a critical requirement for developing user focused interfaces that can deliver enhanced satisfaction. This study specifically focuses on the user's web browsing experience while using desktop and mobile.
The thesis adopts quantitative methodology. This amalgamation presents a comprehensive understanding of the influence of device specific variables, such as loading speed, security concerns and interaction techniques, which are critically analyzed. Moreover, various UX facets including usability, user interface (UI) design, accessibility, content organization, and user satisfaction on both devices were also discussed.
Substantial differences are observed in the UX delivered by desktop and mobile devices, dictated by inherent device attributes and user behaviors. Mobile UX is often associated with personal, context sensitive use, while desktop caters more effectively to intensive, extended sessions.
A surprising revelation is the existing discrepancy between the increasing popularity of mobile devices and the persistent inability of many websites and applications to provide a satisfactory mobile UX. This issue primarily arises from the ineffective adaptation of desktop-focused designs to the mobile, underscoring the necessity for distinct, device specific strategies in UI development.
By furnishing pragmatic strategies for designing efficient, user-friendly and inclusive digital interfaces for both devices; the thesis contributes significantly to the existing body of literature. An emphasis is placed on a device-neutral approach in UX design, taking into consideration the unique capabilities and constraints of each device, thereby enriching the expanding discourse on multiservice user experience. As well as this study contributes to digital marketing and targeted advertising perspectives
Exploring The Influence of Digital Marketing Channels on Consumer Purchase Intentions on High Involvement Versus Low Involvement Products.
This executive summary provides an overview of a research study that explored the influence of digital marketing channels on consumer purchase intentions for high involvement versus low involvement products. The study utilized a cross-sectional research design and employed an online survey through Google Forms to collect data from customers in Norway. The data were analyzed using linear regression analysis and their interaction effects to examine the relationships between variables and test the research hypotheses.
The study's findings indicate that the combined effect of Online Advertisements, Blogs and websites, Product descriptions on company ethical and sustainability practices does not have a statistically significant impact on Consumer Purchase Intentions. The F-statistic for this regression model is 1.225, suggesting that the independent variables jointly do not play a significant role in shaping the Consumer Purchase Intention. Therefore, the alternative hypothesis is rejected, indicating that these factors do not significantly influence consumer purchase intentions. However, when considering individual predictors, it was found that some variables, such as Age tiers, Price, and Quality, have a statistically significant impact on Consumer Purchase Intentions. These factors independently influence consumer purchase intentions. The F-statistic for the regression model that includes these variables is 10.775, indicating that the model is statistically significant.
Therefore, the alternative hypothesis cannot be rejected, suggesting that the combined presence of Online Advertisements, Blogs and websites, product descriptions on company ethical and sustainability practices, age, gender, price, and quality significantly affects Consumer Purchase Intentions. Additionally, the study examined the influence of the presence of high and low involvement products on the relationship between Online Advertisements, Blogs and websites, the product description on company ethical and sustainability practices, and Consumer Purchase Intentions. The F-statistic for this regression model is statistically significant, supporting the hypothesis that the presence of high and low involvement products affects the relationship between these variables and Consumer Purchase Intentions.
These findings contribute to the understanding of consumer behavior and can guide marketing strategies aimed at enhancing purchase intentions for both high and low involvement products. It is therefore recommended that the level of consumer involvement with the product should guide the selection and implementation of digital marketing channels. For high involvement products, brands should focus on channels that provide in-depth information, facilitate research, and enable comparisons, such as search engine marketing, search engine optimization, and dedicated brand websites. For low involvement products, brands should emphasize channels that create brand awareness, trigger impulse buying, and provide convenience, such as social media advertising, email marketing, and mobile apps.
Keywords: Digital Marketing Channels, Consumer Purchase Intentions, High Involvement Products, Low Involvement Products, Online Advertisement, Blogs and Websites, Product description on the company’s ethical and sustainability measures
The Influence of Customer Attitudes towards Sustainability on the Customer Journey: An Analysis of the Potential Impact of Marketing Channels on Consideration and Purchase of Skincare Products
As markets are becoming more and more competitive and consumers have an abundance of
information about products available at the tips of their fingers, marketing professionals must
carefully decide which information channels to prioritise. Additionally, the trends of being
“sustainable” and “eco-friendly” are becoming increasingly popular. The concept of
customer journey is also widely researched, proving to be a valuable tool for identifying the
need and desires of the consumer and guiding them down the path to purchase a product or
service. However, the studies surrounding how this journey should differ for a consumer
focused on sustainability compared to a consumer with little interest in the subject, is limited.
This study is an initial attempt to investigate the relationship between two phases of the
customer journey (i.e., consideration and purchase) and the chosen information channels
regarding sustainability. Data for this study were collected with the help of a self-reported
questionnaire. The survey was mostly distributed through social media channels.
By conducting a regression analysis on the results of the survey, the data supports our theory
that there may be a relationship between the two chosen phases of the customer journey (i.e.,
consideration and purchase) and common communication channels. The general findings in
our analysis indicate that respondents with an interest in sustainability have higher values
for the consideration stage than respondents with a lower interest in sustainability. For the
purchase stage we found opposite to be true.
For either group the most influential channels of communication for the consideration phase
were Reviews and Word-of-Mouth. As for the purchase stage, both sustainable and nonsustainable
groups showed the highest values for Physical Store as their purchase channel
of choice.
Results obtained in this thesis provide insights into the factors that influence consumer
behaviour in relation to interest in sustainability and the stages of the customer journey. The
results of our research can benefit marketing professionals wishing to increase the efficiency
of their advertising and may prompt further studies of the concepts presented within this
thesis.As markets are becoming more and more competitive and consumers have an abundance of
information about products available at the tips of their fingers, marketing professionals must
carefully decide which information channels to prioritise. Additionally, the trends of being
“sustainable” and “eco-friendly” are becoming increasingly popular. The concept of
customer journey is also widely researched, proving to be a valuable tool for identifying the
need and desires of the consumer and guiding them down the path to purchase a product or
service. However, the studies surrounding how this journey should differ for a consumer
focused on sustainability compared to a consumer with little interest in the subject, is limited.
This study is an initial attempt to investigate the relationship between two phases of the
customer journey (i.e., consideration and purchase) and the chosen information channels
regarding sustainability. Data for this study were collected with the help of a self-reported
questionnaire. The survey was mostly distributed through social media channels.
By conducting a regression analysis on the results of the survey, the data supports our theory
that there may be a relationship between the two chosen phases of the customer journey (i.e.,
consideration and purchase) and common communication channels. The general findings in
our analysis indicate that respondents with an interest in sustainability have higher values
for the consideration stage than respondents with a lower interest in sustainability. For the
purchase stage we found opposite to be true.
For either group the most influential channels of communication for the consideration phase
were Reviews and Word-of-Mouth. As for the purchase stage, both sustainable and nonsustainable
groups showed the highest values for Physical Store as their purchase channel
of choice.
Results obtained in this thesis provide insights into the factors that influence consumer
behaviour in relation to interest in sustainability and the stages of the customer journey. The
results of our research can benefit marketing professionals wishing to increase the efficiency
of their advertising and may prompt further studies of the concepts presented within this
thesis
Exploring the Influence of Digital Marketing Channels on Consumer Purchase Intentions on High Involvement vs Low Involvement Products
This executive summary provides an overview of a research study that explored the influence of digital marketing channels on consumer purchase intentions for high involvement versus low involvement products. The study utilized a cross-sectional research design and employed an online survey through Google Forms to collect data from customers in Norway. The data were analyzed using linear regression analysis and their interaction effects to examine the relationships between variables and test the research hypotheses.
The study's findings indicate that the combined effect of Online Advertisements, Blogs and websites, Product descriptions on company ethical and sustainability practices does not have a statistically significant impact on Consumer Purchase Intentions. The F-statistic for this regression model is 1.225, suggesting that the independent variables jointly do not play a significant role in shaping the Consumer Purchase Intention. Therefore, the alternative hypothesis is rejected, indicating that these factors do not significantly influence consumer purchase intentions. However, when considering individual predictors, it was found that some variables, such as Age tiers, Price, and Quality, have a statistically significant impact on Consumer Purchase Intentions. These factors independently influence consumer purchase intentions. The F-statistic for the regression model that includes these variables is 10.775, indicating that the model is statistically significant.
Therefore, the alternative hypothesis cannot be rejected, suggesting that the combined presence of Online Advertisements, Blogs and websites, product descriptions on company ethical and sustainability practices, age, gender, price, and quality significantly affects Consumer Purchase Intentions. Additionally, the study examined the influence of the presence of high and low involvement products on the relationship between Online Advertisements, Blogs and websites, the product description on company ethical and sustainability practices, and Consumer Purchase Intentions. The F-statistic for this regression model is statistically significant, supporting the hypothesis that the presence of high and low involvement products affects the relationship between these variables and Consumer Purchase Intentions.
These findings contribute to the understanding of consumer behavior and can guide marketing strategies aimed at enhancing purchase intentions for both high and low involvement products. It is therefore recommended that the level of consumer involvement with the product should guide the selection and implementation of digital marketing channels. For high involvement products, brands should focus on channels that provide in-depth information, facilitate research, and enable comparisons, such as search engine marketing, search engine optimization, and dedicated brand websites. For low involvement products, brands should emphasize channels that create brand awareness, trigger impulse buying, and provide convenience, such as social media advertising, email marketing, and mobile apps.
Keywords: Digital Marketing Channels, Consumer Purchase Intentions, High Involvement Products, Low Involvement Products, Online Advertisement, Blogs and Websites, Product description on the company’s ethical and sustainability measures
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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