Influence of Social Media Analytics on Online Food Delivery Systems

Author(s):  
Ravindra Kumar Singh ◽  
Harsh Kumar Verma

Online food delivery applications have gained significant attention in the metropolitan cities by diminishing the burden of traveling and waiting time by offering online food delivery options for various dishes from many such restaurants. Users enjoy these services and share their experiences and opinions on social media platforms that impact the trust of customers and change their purchasing habits. This drastic revolution of user activities is an opportunity for targeted social marketing. This research is based on Twitter's data and aimed to identify the influence of social media in food delivery e-commerce businesses including decision making, marketing strategy, consumer behavior analysis, and improving brand reputation. In this article, the authors proposed an Apache Spark-based social media analytics framework to process the tweets in real time to identify the influences of generated insights on e-commerce decision making. The experimental analysis highlighted the exponentially grown influence of social media in food delivery e-commerce portals in past years.

Author(s):  
Ravindra Kumar Singh ◽  
Harsh Kumar Verma

Online food delivery applications have gained significant attention in the metropolitan cities by diminishing the burden of traveling and waiting time by offering online food delivery options for various dishes from many such restaurants. Users enjoy these services and share their experiences and opinions on social media platforms that impact the trust of customers and change their purchasing habits. This drastic revolution of user activities is an opportunity for targeted social marketing. This research is based on Twitter's data and aimed to identify the influence of social media in food delivery e-commerce businesses including decision making, marketing strategy, consumer behavior analysis, and improving brand reputation. In this article, the authors proposed an Apache Spark-based social media analytics framework to process the tweets in real time to identify the influences of generated insights on e-commerce decision making. The experimental analysis highlighted the exponentially grown influence of social media in food delivery e-commerce portals in past years.


2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Pablo Medina Aguerrebere

Hospitals are facing a constantly changing context in which patients are becoming more demanding, public health education initiatives are regarded as increasingly important and hospital business models have to take account of constantly developing medical technologies. In order to better interact with internal and external stakeholders, hospitals try to reinforce their corporate communication strategies as well as their brand reputation by means that include using social media platforms. This literature review paper aims to better understand why health professionals have the potential to play a key role in hospitals’ branding initiatives through social media. First, I report the findings from studies of concepts related to corporate communication, branding and the connection between social media and personal branding; and, second, I propose a communication model – what I call the PMA branding model – to help hospitals build a brand reputation based on health professionals’ participation in corporate communication initiatives led by hospitals on social media. The paper concludes by showing that the PMA branding model consists of organisational tools based on a rigorous methodology that will help health professionals participate in branding initiatives led by the hospital through these platforms.


2021 ◽  
Vol 14 (8) ◽  
pp. 02`-16
Author(s):  
Dyuty Firoz

Social media destination promo videos (DPVs), are among the most important information sources of travel decision-making for their interactive and sharing features, and outstanding destination promotion strategy. Country image is also another important factor for travel decision-making. This study’s purpose is to assess whether the social media DPVs like DMOs’ promo videos and country image have any impact on visiting intentions towards risky destinations. A quantitative method was used for this study. Data was collected by online questionnaires, and 609 valid responses were considered for the analysis of the study. The results showed that the country's image positively influences the attitude of young tourists towards the country and that attention towards the promo videos positively influences young tourists’ overall emotions, attitudes, social norms, interests, desires and behaviours toward visiting a risky destination. This study results would be beneficial for those who are interested in using social media DPVs as part of their destination-promotion strategy, and also can guide destination-marketers to monitor and create better destination promotional contents in social media platforms, to encourage tourism to the destinations, especially risky ones.


2022 ◽  
pp. 385-410
Author(s):  
Časlav Kalinić ◽  
Miroslav D. Vujičić

The rise of social media allowed greater people participation online. Platforms such as Facebook, Twitter, Instagram, or TikTok enable visitors to share their thoughts, opinions, photos, locations. All those interactions create a vast amount of data. Social media analytics, as a way of application of big data, can provide excellent insights and create new information for stakeholders involved in the management and development of cultural tourism destinations. This chapter advocates for the employment of the big data concept through social media analytics that can contribute to the management of visitors in cultural tourism destinations. In this chapter, the authors highlight the principles of big data and review the most influential social media platforms – Facebook, Twitter, Instagram, and TikTok. On that basis, they disclose opportunities for the management and marketing of cultural tourism destinations.


Author(s):  
Cameron H. Malin

With the vast advances in computer, mobile, and online technologies, visibility into an offender’s thought processes and decision-making trajectory has been markedly enhanced. Digital behavioral artifacts, or digital evidence “breadcrumbs” of an offender’s behaviors, are now often left in publicly accessible locations on the Internet—such as social media platforms and social messaging applications—and in locations not privy to the public—such as the offender’s devices. Importantly, early seminal literature introduced and described examining an offender’s actions as series of steps along a path of threat escalation, or “pathway.” The totality of these emerging digital behavioral artifacts allows investigators to piece together an offender’s behavioral mosaic at a much more intimate and granular level, warranting a revised pathway—the cyber pathway to intended violence (CPIV)—that captures the thoughts and actions of an offender leading up to an act of deliberative, predatory violence. This chapter introduces the emerging discipline of Digital Behavioral Criminalistics and how this process can meaningfully be used by threat assessors to elucidate an offender’s steps on the CPIV.


Author(s):  
Cláudia Ribeiro de Almeida ◽  
Célia M.Q. Ramos ◽  
Maria del Mar Alonso Almeida ◽  
Paula Odete Fernandes ◽  
Lucas Estrada Gamarra

The Internet has transformed people's daily lives, not only in the search of information but above all giving the possibility of buying several products and services in a quick and easy way. Social networks have emerged as the quintessential medium for sharing experiences and communicating tourist information to all players in the tourism distribution chain. Today, we can sell, search, consume, connect, and share experiences related to our travel or services on different social media platforms and some online communities that share the same interests. The focus of this chapter is to point out the use of social media along the travel process in order to understand the behaviour of tourists before, during, and after trip. Having in mind the travel decision-making process the authors prepared a questionnaire with several questions spread through Facebook and answered by 95 people. The authors present the results and main conclusions in the chapter.


European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 210-219
Author(s):  
Juha-Pekka Nurvala ◽  
Amelia Buckell

This article argues that media regulations on correcting incorrect articles are in dire need of reform due to technological and behavioural changes. By using case studies from the UK, the authors demonstrate the huge difference between the number of people who were reached by the original article before the Independent Press Standards Organisation (the regulator in the UK) ruled it incorrect and the number reached by the correction or corrected article. The authors argue that media regulations must be reformed to ensure that corrections reach the same people as the original incorrect article to avoid misinformation impacting peoples’ decision-making, and that reforms must include social media platforms and search engines.


2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.


Author(s):  
Ashish Kumar Rathore ◽  
Dayashankar Maurya ◽  
Amit Kumar Srivastava

Social media has been used widely for communicating information, awareness, and promote public policies by government agencies. However, limited attention has been paid to the use of social media in improving the design of public policies. This paper explores to what extent citizens' responses/opinions expressed on social media platforms contribute to policy design.  The paper analyzes discussion about the 'Ayushman Bharat' scheme on Twitter through social media analytics techniques (e.g., content analytics) and then traces the change in policy design over two years.  To validate findings from Twitter data, and assess the evolution in policy design, we conducted in-depth interviews with experts and extensive document analysis. The paper reveals that consistently similar issues were raised by the experts in the past as well as by the citizens in the current scheme. However, over the period, the policy design has not changed significantly. Therefore, despite a strong social media presence, its optimum use to improve policy effectiveness is yet to be achieved. The paper contributes by exploring the role social media can play in the public policy process and policy design in developing countries' contexts and identifies gaps in existing social media strategies of public agencies.


2021 ◽  
Author(s):  
Elizabeth Dubois ◽  
Anatoliy Gruzd ◽  
Jenna Jacobson

Journalists increasingly use social media data to infer and report public opinion by quoting social media posts, identifying trending topics, and reporting general sentiment. In contrast to traditional approaches of inferring public opinion, citizens are often unaware of how their publicly available social media data is being used and how public opinion is constructed using social media analytics. In this exploratory study based on a census-weighted online survey of Canadian adults (N=1,500), we examine citizens’ perceptions of journalistic use of social media data. We demonstrate that: (1) people find it more appropriate for journalists to use aggregate social media data rather than personally identifiable data; (2) people who use more social media are more likely to positively perceive journalistic use of social media data to infer public opinion; and (3) the frequency of political posting is positively related to acceptance of this emerging journalistic practice, which suggests some citizens want to be heard publicly on social media while others do not. We provide recommendations for journalists on the ethical use of social media data and social media platforms on opt-in functionality.


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