A QFD framework for quality, innovation and high-tech product development dynamics

The customer mostly chooses a product on the base of its quality, which therefore arises as the main cause of its commercial success. In a nearly axiomatic drawing, it follows that the effect of innovation is the improvement of quality, which itself becomes the aim of innovation. Even though the previous statement relates quality and innovation, it still does not explain their dynamics. To stress them, the ‘quality' concept must be analyzed in more detail. In fact, in addition to the ‘perceived quality', the quality ensured through `design, manufacturing and marketing' combined domains should be dealt with. This paper enhances this issue taking advantage of principles and models made available by control theory schemes coupled with quality function development (QFD) and best practice software modeling based on unified modeling language (UML

The Role of the Mangement Sciences in Research on Personalization

We present a review of research studies that deal with personalization. We synthesize current knowledge about these areas, and identify issues that we envision will be of interest to researchers working in the management sciences. We take an interdisciplinary approach that spans the areas of economics, marketing, information technology, and operations. We present an overarching framework for personalization that allows us to identify key players in the personalization process, as well as, the key stages of personalization. The framework enables us to examine the strategic role of personalization in the interactions between a firm and other key players in the firm's value system. We review extant literature in the strategic behavior of firms, and discuss opportunities for analytical and empirical research in this regard. Next, we examine how a firm can learn a customer's preferences, which is one of the key components of the personalization process. We use a utility-based approach to formalize such preference functions, and to understand how these preference functions could be learnt based on a customer's interactions with a firm. We identify well-established techniques in management sciences that can be gainfully employed in future research on personalization.CRM, Persoanlization, Marketing, e-commerce,

Marketing management in urban passenger transportation innovations

Purpose: This main aim of the article is to explore possible approaches to innovation marketing management by the example of urban passenger transportation. Design/Methodology/Approach: In modern conditions with the digitalization of the economy enterprises that provide transportation services are aimed at managing through artificial intelligence. Modern transport depends on the preferences of the population, based on philosophy of automation, intellectualization while at the same time is focused on the quality of transportation, elimination of losses and cost reduction. The specifics of marketing activities in the urban passenger transportation market is of particular importance in this study, taking into account the formation of the marketing innovation toolkit in the urban passenger transportation market under these specifics. Findings: A model for innovational marketing management in the urban passenger transportation sector was developed and justified, which includes six key innovation management blocks based on marketing functions: research, forecasting, information, organizational, advertising and practice. Practical implications: In practice, it is about creating a concept necessary for the provision of transport services for passengers transportation, based on the use of innovational marketing. The basic directions for the introduction of innovations at the enterprises of urban passenger transport are proposed. Originality/value: In the field of urban passenger transportation in the digital economy, new opportunities are opening up for development by applying innovational marketing, the practical implementation of which ensures increased efficiency and increases the demand for public transport services.peer-reviewe

An Architecture for Information Commerce Systems

The increasing use of the Internet in business and commerce has created a number of new business opportunities and the need for supporting models and platforms. One of these opportunities is information commerce (i-commerce), a special case of ecommerce focused on the purchase and sale of information as a commodity. In this paper we present an architecture for i-commerce systems using OPELIX (Open Personalized Electronic Information Commerce System) [11] as an example. OPELIX provides an open information commerce platform that enables enterprises to produce, sell, deliver, and manage information products and related services over the Internet. We focus on the notion of information marketplace, a virtual location that enables i-commerce, describe the business and domain model for an information marketplace, and discuss the role of intermediaries in this environment. The domain model is used as the basis for the software architecture of the OPELIX system. We discuss the characteristics of the OPELIX architecture and compare our approach to related work in the field

How KLM gets CRM in the Air – CRM Excellence in Practice.

CRM;

Improving sales force performance through mobile applications

Estágio realizado na Novabase e orientado pelo Eng.º Pedro FaúlhaTese de mestrado integrado. Engenharia Informátca e Computação. Faculdade de Engenharia. Universidade do Porto. 200

Integrating IoT Analytics into Marketing Decision Making: A Smart Data-Driven Approach

With the advent of the Internet of Things (IoT), businesses have gained access to vast amounts of data generated by interconnected devices. Leveraging IoT analytics and marketing intelligence, organizations can extract valuable insights from this data to enhance decision-making processes. This paper presents a comprehensive methodology for data-driven decision-making in the context of IoT analytics and marketing intelligence. A real-time example is used to illustrate the application of this methodology, followed by an inference and discussion of the results. The rise of IoT has enabled real-time data collection from a wide array of interconnected devices, offering unprecedented opportunities for businesses to gain actionable insights. This paper focuses on the intersection of IoT analytics and marketing intelligence, exploring how data-driven decision-making can empower organizations to optimize their marketing strategies, customer experiences, and overall business performance

The Anesthesia Continuing Education Market and the Value Creation From a Sustainable Unified Platform

Practicing anesthesia professionals in the United States are all governed by various profession-specific regulatory bodies that mandate continuing education (CE) requirements. To date, no unified resource exists for anesthesia professionals (i.e., Anesthesiologists, Certified Registered Nurse Anesthetists, and Anesthesiologist Assistants) to explore the CE offerings available within the marketplace. This study endeavored to convey the potential value of a unified anesthesia CE resource. It investigated how to cultivate a sustainable platform to potentially improve how anesthesia professionals search available CE offerings and to potentially enhance how anesthesia CE providers reach anesthesia professionals. This qualitative study was conducted utilizing an integrative review of the literature. The key concepts identified and investigated were network effect, segmentation, first to market, best of breed, search costs, transaction costs, minimally viable product, evolutionary phases of platforms, platform theory, platform business model, platform economy, and types of platforms. Inductive content analysis was chosen as the organizational method for the resultant qualitative data. The goal of the analysis was to create a conceptual, practical, and strategically applicable platform paradigm for the anesthesia CE marketplace driven by the insights and amalgamations from the literature. The analyzed concepts, dimensions, and indicators of platform successes and their applications potentially facilitate anesthesia professionals’ CE explorations and CE providers’ marketing efforts, as well as contextualize the overarching impacts and implications onto the anesthesia CE industry and beyond. The conclusion portrays these impacts and implications

Integrating Organisational Change Management and Customer Relationship Management in a Casino

This research aims to solve the problem: how can casinos manage organizational change programs, and internal and external customer relationship management (CRM) programs? To find a solution, it uses two stages of qualitative methods: convergent interviewing and case research about four departments of a casino in Australia. After a thorough data analysis of documents and interview data, 12 themes were identified and they led to the development of a model of how organizational change management and CRM can be integrated to improve initiatives in organisations such as casinos. The model has seven core elements: vision, key challenge, objective, measure, strategy, initiative and outcome. A contribution is the development of this evidence-based model of links between the both types of CRM and organisational change management, with an action checklist for managers. Analytic generalisation beyond the research setting was done in this research, but more external validation could be done in future research. Managers could use the checklist of actions about this research\u27s integrated model, to reduce the high failure rate of change initiatives