scholarly journals Launching Timing for Digital Products with Consumers’ Variable Needs

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Wei Li ◽  
Jia Liang

The value of a digital product diminishes because of the changing needs of consumers over time. To maintain the value of products, digital product firms sequentially launch upgraded versions of existing products. Therefore, a critical challenge faced by these firms is to determine the timing of launching upgrades. In this study, we develop an analytical model that incorporates needs variation and a product diffusion process in a sequential launching context. The comprehensive model considers two types of transition strategies (i.e., older generations are gradually phased out or totally replaced). We investigate the optimal launching timing of new product generation by conducting several computational experiments. Under total replacement, an astute manager will launch the upgrade when the existing version has reached the maturity stage. However, phase-out transition, the new upgrade, will be launched now or never according to the rate of needs variation. This study bridges the gap between the knowledge on the launching timing of digital products and the volatility of consumer valuation.

1997 ◽  
Vol 01 (01) ◽  
pp. 1-21 ◽  
Author(s):  
Joe Tidd

Research on the management of innovation has been highly fragmented, and to a large extent non-cumulative. Much of the research has been conducted within three separate disciplines, with relatively little overlap or interaction: the management of research and development or technology; new product development and marketing; and organisational development and change. In this paper, we identify a number of emergent themes which have the potential to integrate these diverse streams of research, and result in a more comprehensive model of the innovation process: complexity, networks and learning. We argue that the innovation process is inherently complex, and therefore we need better characterisations of the technological, market and organisational contingencies which affect the opportunity for innovation. With growing complexity, the focus shifts from competencies based on internal assets such as R&D activities and intellectual property, to the position of a firm within an innovation network and competencies based on its relationships with other organisations. Finally, too much research has been pre-occupied with how firms develop and exploit narrow competencies based on prior experience, rather than how firms acquire new competencies. A focus on organisational learning may provide a richer explanation of the organisational factors which affect the acquisition of new technological and market knowledge.


2017 ◽  
Vol 3 ◽  
Author(s):  
Albert Albers ◽  
Matthias Behrendt ◽  
Simon Klingler ◽  
Nicolas Reiß ◽  
Nikola Bursac

Most products are developed in generations. This needs to be considered with regard to development methods and processes to make existing knowledge available to achieve increased efficiency. To realize this, the approach of PGE – product generation engineering – is formulated. Product generation engineering is understood as the development of products based on reference products (precursor or competitor products). The subsystems are either adapted to the new product generation by means of carryover or they are newly developed based on shape variation or principle variation. Validation is considered as the central activity in the product engineering process and is a major challenge, especially for complex mechatronic systems. Therefore, it is important to understand validation as an ongoing activity during product development. The pull principle of validation describes the definition and development of validation activities, including models and validation environments based on specific validation objectives. In order to have effectiveness within validation of subsystems, it is necessary to map the interactions with the overall system, namely the super-system. The relevant subsystems can be connected under consideration of functional and energetic aspects by means of virtual, physical or mixed virtual–physical modeling applied by the holistic IPEK-X-in-the-Loop approach within the integrated Product engineering Model (iPeM).


Author(s):  
A. Yu. Kosenkov

Based on the analysis of transformations of the technical reality of the last century related to the development of computers and digital technologies, the article discusses the processes of digitalization and digital transformations. It has been established that digitalization can be understood as the process of creating, through digital technologies, a specific real or virtual digital product with information, communication, production, economic and other purposes. It is noted that the digitalization process leads to digital transformations – processes of a qualitative change in the structural elements of reality associated with the development and use of digital technologies and digital products. The study also establishes that digitalization processes, due to the advent of computer devices and digital technologies, are transforming technical reality.


Author(s):  
Nassim Belbaly ◽  
Hind Benbya

The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management Systems (IKMS) along the new product development (NPD) process. Indeed, organizations rely on a variety of systems using Artificial Intelligence to support the NPD process that depends on the maturity stage of both the process and type of knowledge managed. Our framework outlines the technological and organizational path that organizations have to follow to integrate and manage knowledge effectively along their new product development process. In doing so, we also address the main limitations of the systems used to date and suggest the evolution towards a new category of KMS based on artificial intelligence that we refer to as Intelligent Knowledge Management Systems. We illustrate our framework with an analysis of several case studies.


Author(s):  
Nassim Belbaly ◽  
Hind Benbya

The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management Systems (IKMS) along the new product development (NPD) process. Indeed, organizations rely on a variety of systems using Artificial Intelligence to support the NPD process that depends on the maturity stage of both the process and type of knowledge managed. Our framework outlines the technological and organizational path that organizations have to follow to integrate and manage knowledge effectively along their new product development process. In doing so, we also address the main limitations of the systems used to date and suggest the evolution towards a new category of KMS based on artificial intelligence that we refer to as Intelligent Knowledge Management Systems. We illustrate our framework with an analysis of several case studies.


2020 ◽  
Vol 179 ◽  
pp. 02072
Author(s):  
Deng Jieru ◽  
Xiao Canjun ◽  
Zhou Mengzhou ◽  
Zhou Xiying

The outbreak of the COVID-19 epidemic has caused a huge impact on the global economy. Great changes have taken place in people’s consumption patterns. In order to explore the changes of people’s consumption concept in the post epidemic era, and the impact of these changes on digital products, this paper analyzes the changes of consumption concept from different life scenes such as life, work, learning, entertainment. Then, the article summarizes the development trend of digital products in the post epidemic era. Finally, the key points of future digital product design are put forward.


2021 ◽  
Vol 6 (10) ◽  
pp. 11550-11567
Author(s):  
Jeong Min Kang ◽  
◽  
Sang-Eon Han ◽  
Sik Lee ◽  
◽  
...  

<abstract><p>Given two digital images $ (X_i, k_i), i \in \{1, 2\} $, first of all we establish a new $ PN_k $-adjacency relation in a digital product $ X_1 \times X_2 $ to obtain a relation set $ (X_1 \times X_2, PN_k) $, where the term $ ''$$ PN $" means $ ''$pseudo-normal". Indeed, a $ PN $-$ k $-adjacency is softer or broader than a normal $ k $-adjacency. Next, the present paper initially develops both the notion of $ PN $-$ k $-continuity and a $ PN $-$ k $-isomorphism. Furthermore, it proves that these new concepts, the $ PN $-$ k $-continuity and a $ PN $-$ k $-isomorphism, need not be equal to the typical $ k $-continuity and a $ k $-isomorphism, respectively. Precisely, we prove that none of the typical $ k $-continuity (<italic>resp.</italic> typical $ k $-isomorphism) and the $ PN $-$ k $-continuity (<italic>resp.</italic> $ PN $-$ k $-isomorphism) implies the other. Then we prove that for each $ i \in \{1, 2\} $, the typical projection map $ P_i: X_1 \times X_2 \to X_i $ preserves a $ PN_k $-adjacency relation in $ X_1 \times X_2 $ to the $ k_i $-adjacency relation in $ (X_i, k_i) $. In particular, using a $ PN $-$ k $-isomorphism, we can classify digital products with $ PN_k $-adjacencies. Furthermore, in the category of digital products with $ PN_k $-adjacencies and $ PN $-$ k $-continuous maps between two digital products with $ PN_k $-adjacencies, denoted by $ DTC_k^\blacktriangle $, we finally study the (almost) fixed point property of $ (X_1 \times X_2, PN_k) $.</p></abstract>


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