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Connect : how to use data and experience marketing to create lifetime customers
\"Marketing is going through a revolution that rivals the impact of Gutenberg's printing press. Customers are in control and marketers have become an unnecessary annoyance. Smart marketers have learned to think in new ways, use new technology, and apply new processes. They've moved to a higher level that achieves their business objectives while being more relevant to the customer.In this \"age of the customer,\" a marketer's message must be personal, relevant, and accessible at all touch points throughout a customer's life cycle, both online and offline. This takes new ways of thinking and new processes to be relevant to individual customers, to be accessible through multiple online and offline channels, and to link digital goals and metrics to business objectives.It's a tough new world of marketing, but Owning the Customer Experience takes you inside this world to see how the winners are jumping ahead of their competitors. \"-- Provided by publisher.
Machine learning and deep learning
by
Heinrich, Kai
,
Zschech Patrick
,
Janiesch, Christian
in
Artificial intelligence
,
Artificial neural networks
,
Automation
2021
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep learning is a machine learning concept based on artificial neural networks. For many applications, deep learning models outperform shallow machine learning models and traditional data analysis approaches. In this article, we summarize the fundamentals of machine learning and deep learning to generate a broader understanding of the methodical underpinning of current intelligent systems. In particular, we provide a conceptual distinction between relevant terms and concepts, explain the process of automated analytical model building through machine learning and deep learning, and discuss the challenges that arise when implementing such intelligent systems in the field of electronic markets and networked business. These naturally go beyond technological aspects and highlight issues in human-machine interaction and artificial intelligence servitization.
Journal Article
An empirical investigation of signaling in reward-based crowdfunding
by
Kunz, Michael Marcin
,
Erler, Max
,
Leimeister, Jan Marco
in
Analysis
,
Business and Management
,
Computer Communication Networks
2017
Start-ups often face the challenge of a shortage of capital, the so-called funding gap, which can be overcome by raising small amounts of money from a large number of individuals. As crowdfunding suffers from a continuous rise in failure rates, the aim of this article is to contribute to the research concerning success factors in reward-based crowdfunding campaigns by focusing on signaling theory. Based on data retrieved from the crowdfunding platform Kickstarter, our results indicate that social ties, investment preparation and presentation, the supply of multiple rewards as well as endeavors to communicate and interact with the crowd positively influence the probability of success of a reward-based crowdfunding campaign. In contrast, the funding goal, a campaign’s runtime and the estimated time of delivery for the rewards have a negative impact on the successful completion of a campaign.
Journal Article
The essential social media marketing handbook : a new roadmap for maximizing your brand, influence, and credibility
\" It's time to take the fear and frustration out of social media. In today's crowded marketplace, it's harder than ever to rise above the noise and clutter. For millions of businesses, a savvy approach to social media is the secret to creating sustainable engagement with a profitable niche audience. Social media done right can build and strengthen your relationship with your customers, encourage brand loyalty, extend your influence, and expand your credibility. Social media changed the world -- and today's social media platforms evolved to meet the world's changing needs. You've got more choices than ever before -- online video, web audio, teleseminars, and more -- plus new ways to attract prospects, retain customers, and reach a bigger audience. The trick is learning how to put the pieces together to create a powerful social media presence that draws in your ideal clients around the clock and around the world. By using the powerful strategies in The Essential Social Media Marketing Handbook, you will: Jump ahead of the competition. Expand your visibility and influence as a leader in your industry. Increase your expert credibility and create powerful new ways to collaborate. Build your brand into a powerhouse. Maximize your profit-making potential.\" -- Provided by publisher.
Knowledge mapping of platform research: a visual analysis using VOSviewer and CiteSpace
2022
This study offers a systematic review of academic research on platforms in management, business and economics. By using two visualization tools named VOSviewer and CiteSpace, we analyzed 619 articles on platform research with associated 23,093 references from the Web of Science database. We have discerned the most impact publications, authors, journals, institutions and countries in the platform research. In addition, we have explored the structures of the cited references, cited authors and cited journals to further understand the theoretical basis of the platform research. Moreover, by evolution analysis through CiteSpace and co-occurrence analysis through VOSViewer, we explored the evolution process of platform research and predicted the future development trends. The results conjunctively achieved by VOSviewer and CiteSpace will enhance understanding of platform research and enable future developments for both theorists and practitioners.
Journal Article
When digital becomes human : the transformation of customer relationships
\"In an age when customers have access to vast amounts of data about a company, its product and its competitors, customer experience becomes increasingly important as a sustainable source of competitive advantage. But success doesn't just rely on digital engagement and excellence, but also on combining a digital-first attitude with a human touch. In When Digital Becomes Human, Steven Van Belleghem explores and explains the new digital relationships. Packed with global examples from organizations that have successfully transformed their customer relationships, such as Amazon, Toyota, ING, Coolblue, Nike and Starbucks, When Digital Becomes Human presents a clear model that companies can easily implement to integrate an emotional layer into their digital strategy. This guide to combining two of a business's most important assets - its people and its digital strengths - covers the latest issues in digital marketing and customer experience management, including omnichannel and multichannel experiences, big data and predictive analytics, privacy concerns, customer collaboration (ie crowdsourcing) and more\"-- Provided by publisher.
AI-based chatbots in customer service and their effects on user compliance
by
Wessel, Michael
,
Benlian Alexander
,
Martin, Adam
in
Agents (artificial intelligence)
,
Anthropomorphism
,
Artificial intelligence
2021
Communicating with customers through live chat interfaces has become an increasingly popular means to provide real-time customer service in many e-commerce settings. Today, human chat service agents are frequently replaced by conversational software agents or chatbots, which are systems designed to communicate with human users by means of natural language often based on artificial intelligence (AI). Though cost- and time-saving opportunities triggered a widespread implementation of AI-based chatbots, they still frequently fail to meet customer expectations, potentially resulting in users being less inclined to comply with requests made by the chatbot. Drawing on social response and commitment-consistency theory, we empirically examine through a randomized online experiment how verbal anthropomorphic design cues and the foot-in-the-door technique affect user request compliance. Our results demonstrate that both anthropomorphism as well as the need to stay consistent significantly increase the likelihood that users comply with a chatbot’s request for service feedback. Moreover, the results show that social presence mediates the effect of anthropomorphic design cues on user compliance.
Journal Article
Understanding digital marketing : marketing strategies for engaging the digital generation
\"Marketing expert Damian Ryan looks at the world of digital marketing: how it got started, how it got to where it is today and where the thought leaders in the industry believe it is headed in the future. This new edition demonstrates in a practical and comprehensive way how to harness the power of digital media and use it to achieve the utmost success in business. It has also been thoroughly revised with more information, fresh examples and case studies, and new chapters on native advertising, video marketing, and the Internet of Things.Ryan deals with key topics in detail, including: search marketing, social media, mobile marketing, affiliate marketing, e-mail marketing, customer engagement and digital marketing strategies. He will help readers to: - choose online marketing channels to get their products and services to market - understand the origins of digital marketing and the trends that are shaping its future - achieve a competitive edge\"-- Provided by publisher.
Generative artificial intelligence
2023
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is capable of producing novel and realistic content across a broad spectrum (e.g., texts, images, or programming code) for various domains based on basic user prompts. In this article, we offer a comprehensive overview of the fundamentals of generative AI with its underpinning concepts and prospects. We provide a conceptual introduction to relevant terms and techniques, outline the inherent properties that constitute generative AI, and elaborate on the potentials and challenges. We underline the necessity for researchers and practitioners to comprehend the distinctive characteristics of generative artificial intelligence in order to harness its potential while mitigating its risks and to contribute to a principal understanding.
Journal Article