تحسين النتائح
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الصفحة 2
الصفحة 2
Knowledge Networks for Business Growth
Companies are constantly searching for new ways of creating higher profit and a larger market share. Growth seems to be the most appropriate tactic for surviving economically in difficult times. New instruments and methods as a support to a company’s growth strategy can be essential in gaining a competitive advantage. Knowledge management is one of the answers to this challenge. It can support strategic goals such as the improvement of efficiency, the minimization of risk and an increase in innovation, but also has inherent potentials which have not been leveraged yet.
Knowledge Integration : The Practice of Knowledge Management in Small and Medium Enterprises
The ability to manage knowledge is relevant for millions of small and medium sized enterprises (SMEs) that operate in high-tech environments. They strongly depend on external knowledge about customers, technologies, and competitors because, as opposed to large companies, they have limited internal knowledge resources and little power to control their business environments.
Key Account Management in Business-to-Business Markets: An Assessment of Its Economic Value
In times of fierce competition in business-to-business markets strong and economically sound business relationships with a company's customers rank among the main success factors. As a well established marketing management conception, key account management is of particular significance in this context. Interestingly enough, empirical research studies have recently proved that relationship marketing, and particularly key account management, does not achieve the economic value originally expected.
Brand metrics : Measuring brand efficacy along the customer journey
The metrics covered in the book correspond with the customer journey, moving through measuring brand awareness, consideration and purchase, to customer loyalty and brand advocacy, and finally an overall analysis of the brand's strength. The book not only shows the formula for a metric and explains how it should be interpreted, but also considers what each metric really measures, how it impacts the brand's equity and how is it related to other metrics.
Brand hate : Navigating consumer negativity in the digital world, 2nd
Focuses on the concept of “brand hate” and consumer negativity in today’s digital markets. It explores the emotional detachment consumers generate against valued brands and how negative experiences affect their and other consumers' loyalty. The book defines consumer brand hate and discusses its dimensions, antecedents, and consequences as well as the semiotics and legality of such brand hate activities based on current brand dilution arguments. It describes the situations which lead to anti-branding and how consumers choose to express their dissatisfaction with a company on individual and social levels. This newly updated edition discusses recent research findings from brand hate literature with new cases and extended managerial analysis.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
Big Data : A Road Map for Successful Digital Marketing
Explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management.
Big Data : A Road Map for Successful Digital Marketing
Explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management.
Banking on (artificial) intelligence : Navigating the realities of ai in financial services
Provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. it investigates the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. it also examines the key pillars of responsible AI and the importance of keeping humans in the loop. the book takes a deep dive into the use cases in the financial services industry, the challenges and opportunities, and the fragmented regulatory landscape. how can we effectively assess risks, and balance innovation and customer centricity with trust in AI in financial services? can smaller organizations reap the benefits of the technology? how can institutions deploy AI responsibly and securely, and promote a fairer and more equitable future for more people?
B2B eCommerce : Basics, Business Models and Best Practices in Business-to-Business Online Trade
Covers the basics of business-to-business (B2B) eCommerce, where similar principles of customer targeting can be observed as in B2C eCommerce. Gerrit Heinemann highlights the specifics and business models of B2B eCommerce, analyzes the digital challenges and shows the consequences and opportunities for online sales in B2B. Recognised best-practice examples illustrate how successful B2B eCommerce can work and which risks have to be considered.
Artificial intelligence for marketing management
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.
Artificial intelligence for asset management and investment : A strategic perspective
The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.
Antecedents of venture firms' internationalization : A conjoint analysis of international entrepreneurship in the net economy
With the continuing dispersion of the global digital network and performance improvements of information and communication technologies, resource-poor start-ups with online business models have emerged in large numbers. These firms are able to deploy their competitive advantages across their country borders early in their life-cycle and engage in international commerce at a fast pace. An increased immediacy between the firms and the globally accessible customer is observed. Julia Christofor’s study aims to analyze the conditions of the initial internationalization decision in the Net Economy. Based on Information Systems, International Entrepreneurship, and Entrepreneurship literature, factors, which constitute the internationalization propensity, are derived. The results of this study suggest that a holistic perspective including the founder, business model and the firm level should be considered when explaining the internationalization propensity of entrepreneurs.
AI Strategy for sales and marketing : Connecting marketing, sales and customer experience
AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust.
AI in marketing, sales and service : How marketers without a data science degree can use AI, big data and bots
Shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way.
AI in marketing : Applications, insights, and analysis
AI in marketing equips students with the knowledge to understand the impact of artificial intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently. divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. the first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. the third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. the final part examines ethical considerations and the pedagogical integration of AI into marketing education.
AI and the future of banking
Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development.
Advertising management : Concepts, theories, research and trends
Explores the concept of advertising and the different ways advertising is understood and evaluated. It dives deep into planning, designing, and executing advertising campaigns on different mediums. It discusses the theoretical and research parts of advertising by critically examining how over the years various hierarchical models and theories are developed by advertising experts. It examines various models and theories that explain why and how advertising is successful in persuading customers target audiences to buy a product or accept an idea for behavioural change.
Advanced introduction to marketing strategy
Presents a systematic, next-generation approach to marketing strategy, demonstrating how success is gained and sustained via continuous innovation to create new value for customers. George S. Day develops the outside-in approach to formulating strategy, while providing compelling insights into key market stakeholders to illustrate how to sustain customer value leadership in the face of mounting market turbulence.
Acceptance and Usage of Technology through the Digital User Experience
Sheds light on the challenges and solutions for companies when dealing with the online consumer on social media and in the era of Web 4.0. It investigates the digital transformation in terms of customer experience, customer empowerment, resistance, influencer marketing, and trust. The volume shows how consumers perceive, react and behave towards brands’ digital marketing strategies in addition to the barriers, constraints, advantages and modes of action of online consumers.
