scholarly journals The Impact of Organic Traffic of Crowdsourcing Platforms on Airlines’ Website Traffic and User Engagement

2021 ◽  
Vol 13 (16) ◽  
pp. 8850
Author(s):  
Damianos P. Sakas ◽  
Dimitrios P. Reklitis
Keyword(s):  
Cognitive Mapping ◽  
Marketing Strategies ◽  
Digital Marketing ◽  
Diagnostic Model ◽  
User Engagement ◽  
Factors Affecting ◽  
Agent Based ◽  
Second Stage ◽  
Micro Level ◽  
The Impact

With airline companies increasingly relying on crowdsourcing websites to deploy their digital marketing strategies, marketeers and strategists seek to acquire an understanding of the factors affecting airlines’ organic traffic and user engagement. Such an understanding is acquired through the consideration of variables that influence a company’s organic traffic and user engagement and their correlation to each other. A three-stage data-driven analysis is used to examine the correlation between the foregoing variables and to consider strategies that can be implemented to optimize organic traffic and user engagement. The first section gathers data from five airline companies’ websites and five crowdsourcing websites over an interval of 180 days. The second stage creates an exploratory diagnostic model, through Fuzzy Cognitive Mapping, to visually illustrate the cause-and-effect correlations between the examined metrics. Finally, a predictive micro-level agent-based model simulates optimization strategies that can be used to improve organic traffic and user engagement. The results of this study, reveal that crowdsourcing organic traffic increases airline websites’ user engagement through paid campaigns, while a limited correlation was found to exist between the average duration of a user to organic traffic. The results of this study provide tangible digital marketing strategies which can be used by airline companies to improve the influence of their digital marketing strategies on their users.

scholarly journals The Effects of Cryptocurrency Trading Websites on Airlines’ Advertisement Campaigns

2021 ◽  
Vol 16 (7) ◽  
pp. 3099-3119
Author(s):  
Damianos P. Sakas ◽  
Nikolaos T. Giannakopoulos ◽  
Dimitrios P. Reklitis ◽  
Thomas K. Dasaklis
Keyword(s):  
Statistical Analysis ◽  
Cognitive Mapping ◽  
Positive Impact ◽  
Marketing Strategies ◽  
Digital Marketing ◽  
Stage Model ◽  
Web Analytics ◽  
Factors Affecting ◽  
Agent Based ◽  
Agent Based Modelling

In future years, airline companies will be leaning more and more towards cryptocurrencies to implement their digital marketing strategies as leaders seek to gain an understanding of the factors affecting airlines’ visibility parameters. Cryptocurrency investment websites are currently experiencing rising demand, making them an appropriate site for paid advertisements. The above factors suggest the need for airlines to harvest cryptocurrency investment and platform users in their favour. To this end, it can be beneficial for airlines’ web promotions to link certain web analytics metrics to cryptocurrency trading site metrics. For research purposes, web analytics data were monitored and gathered for 2 consecutive years from 10 globally leading cryptocurrency trading companies and 10 airline websites. A three-stage model was adopted by the authors. In the first stage, statistical analysis was implemented using cryptocurrency and airline metrics, followed by fuzzy cognitive mapping and agent-based modelling stages. The findings of the study indicate that engagement with cryptocurrency trading websites has a positive impact on airline websites’ global ranking and visibility parameters. The outcomes of this research provide noteworthy digital marketing strategies which can be addressed by airline companies to increase their website visitors and optimise visibility parameters with the assistance of cryptocurrency trading websites.

scholarly journals Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines’ Digital Brand Name Effect

2021 ◽  
Vol 5 (4) ◽  
pp. 48
Author(s):  
Damianos P. Sakas ◽  
Nikolaos Th. Giannakopoulos
Keyword(s):  
Big Data ◽  
Mobile Devices ◽  
Cognitive Mapping ◽  
Agent Based Modeling ◽  
Marketing Strategies ◽  
Digital Marketing ◽  
Brand Name ◽  
Agent Based ◽  
Exploratory Model ◽  
Observation Period

Rising demand for optimized digital marketing strategies has led firms in a hunt to harvest every possible aspect indicating users’ experience and preference. People visit, regularly through the day, numerous websites using both desktop and mobile devices. For businesses to acknowledge device’s usage rates is extremely important. Thus, this research is focused on analyzing each device’s usage and their effect on airline firms’ digital brand name. In the first phase of the research, we gathered web data from 10 airline firms during an observation period of 180 days. We then proceeded in developing an exploratory model using Fuzzy Cognitive Mapping, as well as a predictive and simulation model using Agent-Based Modeling. We inferred that various factors of airlines’ digital brand name are affected by both desktop and mobile usage, with mobile usage having a slightly bigger impact on most of them, with gradually rising values. Desktop device usage also appeared to be quite significant, especially in traffic coming from referral sources. The paper’s contribution has been to provide a handful of time-accurate insights for marketeers, regarding airlines’ digital marketing strategies.

Expecting Transformation of Marketing During the Post-Pandemic New Normal

2021 ◽  
Vol 10 (2) ◽  
pp. 1-18
Author(s):  
Iza Gigauri ◽  
Kakhaber Djakeli
Keyword(s):  
Marketing Strategies ◽  
Point Of View ◽  
Digital Marketing ◽  
Research Approach ◽  
Social Dimensions ◽  
Future Studies ◽  
Marketing Managers ◽  
Sustainable Marketing ◽  
The Impact

COVID-19 has impacted economic and social dimensions around the globe. It triggered changes in consumer behavior requiring marketing efforts to be rethought from the sustainability point of view. The presented research is motivated by the recent article by P. Kotler discussing the new role of marketing and seeks to explore the effects of the pandemic on marketing and outline post-pandemic tendencies. The qualitative research approach was applied to interview marketing managers in Georgia to analyze the impact of the crisis on marketing management. It also reveals opportunities for marketing in post-pandemic times and sheds light on factors for marketing transformation. The research emphasizes the advantages of digital marketing and illustrates the skills marketing managers should have. The findings outline that marketing strategies should transform towards more ethical and sustainable marketing in accordance with the current changes. The paper concludes by suggesting future studies.

Interrelationships of factors causing delays in the relocation of utilities

2016 ◽  
Vol 23 (3) ◽  
pp. 349-368 ◽  
Author(s):  
Aneetha Vilventhan ◽  
Satyanarayana N. Kalidindi
Keyword(s):  
Construction Projects ◽  
Cognitive Mapping ◽  
Organizational Factors ◽  
Mapping Technique ◽  
Critical Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Lack Of Information ◽  
Underground Utilities ◽  
The Impact

Purpose – Relocation of utilities is a major source of delay in Indian infrastructure projects. This delay is particularly critical in road and bridge construction projects. The purpose of this paper is to identify the various factors and also the interrelationships between the factors which influence the delays in the relocation of utilities. Design/methodology/approach – Case studies were conducted on 11 road and bridge projects in India with varying levels of complexity and size. Factors causing relocation delays were identified using computer aided qualitative analysis methodology. Cognitive mapping technique was used to map the interrelationships between the factors and to identify the critical delay factors. Findings – Factors affecting delays were identified across two groups, namely, technical and organizational factors. The study offers insights into the kinds of interactions of factors that can lead to delays in a project. The critical factors causing delays were identified as slow response from utility agencies, difficulty in identification of underground utilities, lack of information on underground utilities and conflict between agencies. Research limitations/implications – The limitations of the study are that the interview respondents are not evenly distributed among the type of organizations which may have induced some bias in responses. The impact of the utility relocation delays on the overall project delay has to be detailed further. Practical implications – The interrelationships between factors has the potential to help the officials of highway department, contractors, utility agencies and others understand how various interactions/linkages of factors contributes to delays in utility relocations. Recommendations are provided for the practical use and to reduce the impact of delays. Originality/value – Utility relocation has received very little attention in the extant literature and this paper seeks to contribute to knowledge in this area by identifying the linkages between factors and the critical factors of utility relocation delays in India.

scholarly journals Socio-Economic Factors Affecting the Regional Spread and Out-break of COVID-19 in China

2021 ◽  
Author(s):  
Liren Yang ◽  
Cuifang Qi ◽  
Zixuan Yang ◽  
Li Shang ◽  
Guilan Xie ◽  
...  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Urban Population ◽  
Economic Factors ◽  
Wuhan City ◽  
Factors Affecting ◽  
Second Stage ◽  
Imported Cases ◽  
The Impact ◽  
Socio Economic Factors

Background: This study investigated the impact of socio-economic factors on the spread and outbreak of COVID-19 based on Chinese data. Methods: Cumulative confirmed cases were collected and divided into the First-stage cases cluster dominated by imported cases, and the Second-stage cases cluster dominated by secondary cases, according to the time of emergency state and Wuhan city lockdown. The linear regression was used for data analysis. Results: A total of 12,877 cases in 30 provinces were analyzed in the study. The First-stage cases cluster included 675 cases and Second-stage cases cluster included 12,202 cases. The socio-economic factors were significantly associated with the cases (P<0.05). The GDP and proportion of population moving out of Wuhan were associate with the First-stage dominated by imported cases (b>0, P<0.05). The First-stage cases cluster, proportion of population moving out of Wuhan and urban population were associate with the Second-stage dominated by secondary cases (b>0, P<0.05). Conclusion: Socio-economic factors had impacts on the spread and outbreak of COVID-19. The combination of different socio-economic indicators at different stages of the epidemic may help control the epidemic.

scholarly journals ROLE OF SOCIAL MEDIA IN MARKETING OF MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMEs) PRODUCT DURING COVID 19 PANDEMIC

2020 ◽  
Vol 1 (2) ◽  
pp. 239-249
Author(s):  
Arifah Hidayati ◽  
Melvi Yansi
Keyword(s):  
Social Media ◽  
Small And Medium Enterprises ◽  
Marketing Strategies ◽  
Digital Marketing ◽  
Good Prospect ◽  
Medium Enterprises ◽  
The Impact ◽  
Online Buying ◽  
Insight Into

This study aims to explain how the role of social media in marketing MSME products during the Covid 19 pandemic in DKI Jakarta. This research method is qualitative by using phenomenological predictions. The results of this study explain that MSMEs are more dominant in using the TikTok, Instagram, Facebook, and WhatsApp applications in promoting their products because they are easier to implement and can attract more consumer interest through interesting videos and photos. Therefore, social media provides a good prospect for increasing the sales of MSME products in DKI Jakarta which is experiencing the impact of the COVID-19 pandemic. This is because the digital marketing system provides an online buying and selling platform, in order to facilitate the ordering and purchasing process. So that consumers can interact with MSME owners to make transactions directly. The results of this study suggest that MSME have to understand and add insight into the importance of digital marketing strategies to support the sustainability of MSME businesses. Digital marketing is an opportunity that can be developed to achieve maximum business benefits during the COVID-19 pandemic.

scholarly journals Use of Direct Marketing Strategies by Farmers and Their Impact on Farm Business Income

2011 ◽  
Vol 40 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Hiroki Uematsu ◽  
Ashok K. Mishra
Keyword(s):  
Negative Binomial ◽  
Direct Marketing ◽  
Marketing Strategies ◽  
Farmers Markets ◽  
Farm Income ◽  
Factors Affecting ◽  
Quantile Regression Model ◽  
Farm Business ◽  
On Farm ◽  
The Impact

Direct marketing strategies increasingly have been recognized as a viable business option in U.S. agriculture as they allow producers to receive a better price by selling products directly to consumers. The objective of this study is twofold. Using a national survey, we first estimated a zero-inflated negative binomial model to identify factors affecting the total number of direct marketing strategies adopted by farmers. Then we estimated a quantile regression model to assess the impact of the intensity of adoption of direct marketing strategies on gross cash farm income. The results show that the intensity of adoption has no significant impact on gross cash farm income and that participation in farmers markets is negatively correlated with gross cash farm income at all five quantiles estimated.

scholarly journals Impact of digital marketing development on entrepreneurship

2019 ◽  
Vol 135 ◽  
pp. 04023 ◽  
Author(s):  
Kenzhegul Bizhanova ◽  
Arafat Mamyrbekov ◽  
Ilkhom Umarov ◽  
Akmaral Orazymbetova ◽  
Aziza Khairullaeva
Keyword(s):  
Social Media ◽  
Marketing Strategies ◽  
Turn Of The Century ◽  
Digital Marketing ◽  
The Internet ◽  
Internet Applications ◽  
Related Research ◽  
Use Of Social Media ◽  
The Impact ◽  
Business Structure

The article discusses the impact of digital marketing on modern entrepreneurship, as well as the main tasks in the formation of the business structure. Predictions of rising consumer power in the digital age leading up to the turn of the century were bolstered by the advent of the Internet and then reignited by social media. Changes in consumer behavior require firms to rethink their marketing strategies in the digital sphere. Currently, much of the related research focuses more on the client than the firm. This study uses the firm’s perspective to facilitate understanding of digital marketing and the use of social media, as well as its benefits and inhibitors. The second generation of Internet applications enhances marketing efforts by allowing firms to introduce innovative forms of communication and co-create content with their customers. Firms ’ participation in digital marketing can be classified according to the perceived benefits and uses of digital marketing. To improve engagement with digital marketing, marketers need to focus on relationship-based interactions with their customers. This article demonstrates how some firms are already achieving just that.

scholarly journals Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability

2021 ◽  
Vol 13 (15) ◽  
pp. 8222
Author(s):  
Damianos P. Sakas ◽  
Nikolaos Th. Giannakopoulos
Keyword(s):  
Data Analytics ◽  
Cognitive Mapping ◽  
Brand Name ◽  
Web Data ◽  
Factors Affecting ◽  
Agent Based ◽  
Data Prediction ◽  
Last Stage ◽  
Prediction And Simulation ◽  
Exploratory Model

In the modern digitalised era, the total number of businesses and organisations utilising crowdsourcing services has risen, leading to an increase of their website traffic. In this way, there is plenty of space for marketers and strategists to capitalise big data from both their own and the crowdsourcer’s websites. This can lead to a comprehension of factors affecting their brand name, sustainability (gross profit) and consequently visitor influence. The first of the three staged contexts, based on web data, includes the retrieval of web data analytics and metrics from five air forwarding and five crowdsourcing websites in 210 observation days. At stage two, we deployed a diagnostic-exploratory model, through Fuzzy Cognitive Mapping (FCM), and in the last stage, an Agent-Based Model is deployed for data prediction and simulation. We concluded that crowdsourcing referral traffic increases air forwarders’ top 3 keywords volume, and decreases social traffic and total keywords volume, which then boosts their global web rank and gross profit. The exact opposite results occur with crowdsourcing search traffic. To sum up, the contribution of this paper is to offer realistic and well-informed insights to marketers about SEO and SEM strategies for brand name and profit enhancement, based on harvesting crowdsourcing platform traffic.

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