Value proposition

About: Value proposition is a research topic. Over the lifetime, 3582 publications have been published within this topic receiving 88855 citations.

Superior Customer Value in the New Economy: Concepts and Cases

Abstract: CUSTOMER VALUE - THE BUILDING BLOCKS Customers Want Top Value The Importance of Customer Value Customer Value: Marketing Management Implications The Value-Creating Organization Summary Customer Value Action Items Being Customer Oriented Customer Commitment: How Market Leaders Do It The Marketing Concept Revisited Selling vs. Market Orientation Marketing Approaches to Achieve a Customer Focus Summary Customer Value Action Items Process and Customer Value Process and Value Assessing Process Effectiveness PDCA Cycle and Process Improvement Process Tools Summary customer value action items CREATING VALUE THROUGH SERVICES AND E-COMMERCE The Service Sector and the New Economy Reshaping the Traditional Economy: the North American Industrial Classification System Service Firms Create Value The Emergence of the New Economy Keys to Competing Successfully in the New Economy Summary Customer Value Action Items Defining and Managing Service Quality What Is Quality? Service Quality Guidelines Why Quality Matters How to Improve Quality Summary customer value action items Managing e-Service Quality e-Service and Customer Satisfaction: Research Insights e-Service Quality and Customer Loyalty How to Improve e-Service Quality Summary Customer Value Action Items PLANNING AND IMPLEMENTING A WINNING VALUE PROPOSITION Defining and Refining the Value Proposition The Value Proposition as Basis for Competitive Strategy Value Disciplines and Market Leadership The Value Proposition: Some Applications and Guidelines Building Your Value Proposition: the S-Q-I-P Approach Developing Unique Value Propositions The Value Proposition: Strategic Implications Summary Customer Value Action Items Communicating Value through Price Introduction Relating Price to Value How Buyers Evaluate Price Strategic Pricing Pricing Methods How to Make Good Pricing Decisions Future Pricing Issues Summary customer value action items Strategies for Adding and Promoting Value The USP and Differentiation Three Levels of Positioning How to Add Value to Products Implementing a Value-Added Services Program Communicating Value through an IMC Program Creating an IMC Program Summary Customer Value Action Items DELIVERING LONG-TERM SUPERIOR VALUE TO CUSTOMERS Maximizing Value through Retention Marketing Why Focus on Customer Retention? Customer Value/Retention Model Usage Analysis and Customer Retention Designing a Customer Retention Program Customer Retention Approaches Summary Customer Value Action Items Creating Value through Customer and Supplier Relationships What Is Relationship Marketing? Traditional vs. Relationship Marketing Building Lasting Customer Relationships Improving Supply Chain Relationships Customer Relationship Management Keys to Practicing Relationship Marketing in the New Economy Summary customer value action items CUSTOMER VALUE CASES Boston Market --- Process Flow Outcomes Delicato Family Winery - Building and Communicating Value Dow Corning - Customer Value and Segmentation Edward Jones - Managing Customer Relationships FedEx Corporation - A Customer Value Funnel Assessment The Grateful Dead - Creating Deadheads by Providing Drop-Dead Customer Service Harrah's Entertainment, Inc. - Loyalty Management "Herding Cats" across the Supply Chain JetBlue Airways - Adding Value Lexmark International - Creating New Market Space Nantucket Nectars - Perceived Quality Rubbermaid - Market Orientation Office Depot Goes Online - e-Service Quality Pizza Hut - A Customer Loyalty Program Publix Super Markets, Inc. - Achieving Customer Intimacy StatePride Industrial Laundry - Value Chain Analysis Time Insurance - A Study of Process Quality Improvement Walgreens - Customer Orientation

A scaling up framework for innovative service ecosystems: lessons from Eataly and KidZania

Abstract: Purpose The purpose of this paper is to explore why innovative service ecosystems scale up, using a service-dominant logic lens. The focus is on identifying the key drivers of the scaling-up process as the basis for a new conceptual framework on the scaling up of service innovations. Design/methodology/approach An inductive research design is used to zoom in on two innovative service ecosystems, Eataly and KidZania, to identify the key drivers that can explain why innovations scale up. For both companies, the triangulation of semi-structured interviews, archival sources and in-store observations is used as complementary data sets. Multiple investigators and multiple coders have been involved in the data collection, coding process and analysis. Findings An extended conceptualization of service innovation is obtained, grounded in a framework of four drivers of scaling up: effectuation as the basis for creating the value proposition; sensing and adapting to local contexts; the reconfiguration and alignment of resources and forms for collaboration between actors; and values’ resonance. Originality/value This study represents one of the first empirical investigations of the key drivers of the scaling up process of service innovations. The paper contributes with a conceptualization of service innovation and why scaling-up processes emerge, emphasizing the existence of multiple constellations of four drivers.

The economics of algorithmic selection on the Internet

Abstract: Algorithms have come to shape our daily lives and realities. They change the perception of the world, affect our behavior by influencing our choices, and are an important source of social order. Algorithms on the Internet have significant economic implications in newly emerging markets and for existing markets in various sectors. A wide range of our daily activities in general and our media consumption in particular are increasingly shaped by algorithms operating behind the scenes. This chapter offers a typology of applications based on algorithmic selection and provides a basic input-throughput-output model in order to show the functioning and economic purposes of the different types of algorithmic selection. It explains theoretical perspectives applied for its analysis and presents results from market analyses. Different phases of the markets for applications using algorithmic selection are shown, their structures and concentration tendencies explored. After a discussion of business models of algorithmic selection with an emphasis on value proposition, value creation and revenue stream the chapter examines selected implications of algorithmic selection for traditional media markets and the incumbents’ profitability. An identification of risks, such as possible violations of basic rights, is complemented by a discussion of regulatory challenges and available governance options.