The Life Cycles of Destination Life Cycle Models

2020 ◽  
pp. 625-642
Author(s):  
Sudipta Kiran Sarkar ◽  
Babu P. George
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycles ◽  
Tourism Destination ◽  
Generic Models ◽  
The World ◽  
Technological Developments ◽  
Similarities And Differences ◽  
Critical Conversation ◽  
Political Economic

Product Life Cycle (PLC) has always been a hot topic in the tourism literature. Butler's Tourism Area Lifecycle model and Plog's destination life cycle model have both been applied and analysed extensively in tourism destination development and lifecycle studies. This study attempts to offer a critical conversation on the similarities and differences as well as the strengths and weaknesses of these two widely referred generic models of destination life cycle. It also identifies some recent socio-political, economic, and technological developments that have changed the nature of tourism destination development in many parts of the world and in particular to Asia and the implications of these developments upon life cycles. Based on more recent research, the present authors suggest that the reality of destination development lies somewhere in between, as a resultant of interaction with the processes laid out by Plog and Butler.

The Life Cycles of Destination Life Cycle Models

2017 ◽  
pp. 170-187
Author(s):  
Sudipta Kiran Sarkar ◽  
Babu P. George
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycles ◽  
Tourism Destination ◽  
Generic Models ◽  
The World ◽  
Technological Developments ◽  
Similarities And Differences ◽  
Critical Conversation ◽  
Political Economic

Product Life Cycle (PLC) has always been a hot topic in the tourism literature. Butler's Tourism Area Lifecycle model and Plog's destination life cycle model have both been applied and analysed extensively in tourism destination development and lifecycle studies. This study attempts to offer a critical conversation on the similarities and differences as well as the strengths and weaknesses of these two widely referred generic models of destination life cycle. It also identifies some recent socio-political, economic, and technological developments that have changed the nature of tourism destination development in many parts of the world and in particular to Asia and the implications of these developments upon life cycles. Based on more recent research, the present authors suggest that the reality of destination development lies somewhere in between, as a resultant of interaction with the processes laid out by Plog and Butler.

Study on life-cycle design for the post mass production paradigm

2000 ◽  
Vol 14 (2) ◽  
pp. 149-161 ◽  
Author(s):  
YASUSHI UMEDA ◽  
AKIRA NONOMURA ◽  
TETSUO TOMIYAMA
Keyword(s):  
Life Cycle ◽  
Mass Production ◽  
Product Life Cycle ◽  
Knowledge Bases ◽  
Life Cycles ◽  
Simulation System ◽  
Product Life ◽  
Cycle Simulation ◽  
Life Cycle Design ◽  
Modular Structures

Environmental issues require a new manufacturing paradigm because the current mass production and mass consumption paradigm inevitably cause them. We have already proposed a new manufacturing paradigm called the “Post Mass Production Paradigm (PMPP)” that advocates sustainable production by decoupling economic growth from material and energy consumption. To realize PMPP, appropriate planning of a product life cycle (design of life cycle) is indispensable in addition to the traditional environmental conscious design methodologies. For supporting the design of a life cycle, this paper proposes a life-cycle simulation system that consists of a life-cycle simulator, an optimizer, a model editor, and knowledge bases. The simulation system evaluates product life cycles from an integrated view of environmental consciousness and economic profitability and optimizes the life cycles. A case study with the simulation system illustrates that the environmental impacts can be reduced drastically without decreasing corporate profits by appropriately combining maintenance, reuse and recycling, and by taking into consideration that optimized modular structures differ according to life-cycle options.

scholarly journals VR / AR TECHNOLOGIES AND THEIR APPLICATION IN MECHANICAL ENGINEERING

2019 ◽  
Vol 2019 (4) ◽  
pp. 44-48
Author(s):  
Aleksandr Feofanov ◽  
Andrey Okhmat ◽  
Anton Berdyugin
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Mechanical Engineering ◽  
Product Life ◽  
Industrial Companies ◽  
Similarities And Differences

The article discusses the concepts of virtual and augmented realities. The comparison of themwas carried out in order to identify their similarities and differences. The areas of application of these technologies are identified, and the examples of their use are given. The ways of application of VR/AR technologiesin mechanical engineeringare defined, in particular, at the stage of the outline design of the product life cycle. The examples of the use of VR/AR technologies in Russian industrial companies are given.

Species of Aphis inhabiting European Oenothera: their biology, morphology and systematics (Hemiptera: Aphididae)

2008 ◽  
Vol 3 (3) ◽  
pp. 307-319 ◽  
Author(s):  
Rimantas Rakauskas
Keyword(s):  
Life Cycle ◽  
Host Plant ◽  
Entire Range ◽  
Morphological Character ◽  
Original Data ◽  
Aphid Species ◽  
Life Cycles ◽  
European Species ◽  
Current State ◽  
The World

AbstractInformation on the Aphis species that feed on evening primroses (Oenothera spp.) has been summarized in the catalogue of the aphid species inhabiting herbaceous plants of the world (Blackman & Eastop, 2006). Recent descriptions of the European species, A. holoenotherae (Rakauskas, 2007), that appeared to be a sibling of the American A. oenotherae, demonstrated the need of reexamining the current state of knowledge of the Aphis species inhabiting evening primroses in Europe. The present study, based on published original data, revealed nine aphid species of the genus Aphis which are capable of living on Oenothera plants in Europe. Only two of them are really dependent on Oenothera species during their life cycle: A. oenotherae Oestlund and A. holoenotherae Rakauskas. They have different life cycles and host plant spectrum, although they are very close in their morphology. Processus terminalis length appeared to be the most reliable morphological character in distinguishing between apterous and alate viviparous females, and males of A. oenotherae and A. holoenotherae at the present time. A. grossulariae is not a typical Oenothera-feeder in Europe, occurring on evening primroses only by chance. Other Aphis species (epilobiaria, fabae, sambuci, praeterita, frangulae, nasturtii), are opportunistic inhabitants of Oenothera plants. Information about host specificity and morphology of the Oenothera-inhabiting European Aphis species is summarized, and a key for the entire range of species found living on European Oenothera is provided.

Review of Life Cycle Theories

2008 ◽  
pp. 30-54
Author(s):  
Toru Higuchi ◽  
Marvin Troutt
Keyword(s):  
Life Cycle ◽  
Facility Location ◽  
Product Life Cycle ◽  
New Product ◽  
Life Cycles ◽  
Product Cycle ◽  
Product Life ◽  
Manufacturing Facility ◽  
Manufacturing Facilities ◽  
Industrial Life Cycle

In this chapter, we discuss the life cycle theories related to the business. The concept of the life cycle has been widely used in marketing. The Product Life Cycle (PLC) is the most well-known one, in which the time is divided into four stages based on the change of sales. It is expanded by combining it with the study of the various consumer types. Other life cycles have been developed from the viewpoint of the innovation and manufacturing facility location. The advancement of technology is the driver for the diffusion of a new product. Sometimes it obsoletes a category of products. The location of manufacturing facilities changes according to the market and technology condition as Product Cycle Theory demonstrates. A concept of the industrial life cycle and a linkage between the life cycle and SCM also are argued in this chapter.

Assessing Product Architecture Costing: Product Life Cycles, Allocation Rules, and Cost Models

2004 ◽  
Author(s):  
Sebastian K. Fixson
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycles ◽  
Product Architecture ◽  
Future Research ◽  
Design Decision ◽  
Cost Models ◽  
Product Life ◽  
Allocation Rules ◽  
The Cost

Product families and product platforms have been suggested as design strategies to serve heterogeneous markets via mass customization. Numerous, individual cost advantages of these strategies have been identified for various life cycle processes such as product design, manufacturing, or inventory. However, these advantages do not always occur simultaneously, and sometimes even counteract each other. To develop a better understanding of these phenomena, this paper investigates the cost implications of the underlying design decision: the product architecture choice. The investigation includes factors such as product life cycle phases, allocation rules, and cost models, all of which impact the cost analysis results. Based on this investigation, directions for future research on product architecture costing are provided.

Modeling Competition over Product Life Cycles

2015 ◽  
Vol 32 (04) ◽  
pp. 1550021 ◽  
Author(s):  
Ka Ching Chan ◽  
Terry M. Mills
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycles ◽  
Valuable Insight ◽  
Mobile Telecommunication ◽  
Product Life ◽  
Market Growth ◽  
Product Life Cycles ◽  
Market Shares ◽  
Different Types

This paper presents a mathematical model, linking the classical Markov models for brand switching and models for product life cycles, to forecast competition analysis and market share. This integrated model can be used to forecast market shares of all competitors, and their market shares, including customers retained, customers gained from market growth, and customers gained from competitors over the product life cycle. Such information provides forecasters with valuable insight about their market positions. The model is generic and can be applied to different types of products and services, under different types and patterns of product life cycle curves. A numerical example on a typical mobile telecommunication industry is used to illustrate the application of the proposed approach.

scholarly journals Smartphone and Tablet Application (App) Life Cycle Characterization via Apple App Store Rank

2020 ◽  
Vol 4 (1) ◽  
pp. 44-67
Author(s):  
Han Jia ◽  
Chun Guo ◽  
Xiaozhong Liu
Keyword(s):  
Life Cycle ◽  
Least Squares ◽  
Product Life Cycle ◽  
Large Scale ◽  
Ordinary Least Squares ◽  
Heterogeneous Data ◽  
Life Cycles ◽  
Volume Data ◽  
App Store ◽  
Management Domain

AbstractWith the rapid growth of the smartphone and tablet market, mobile application (App) industry that provides a variety of functional devices is also growing at a striking speed. Product life cycle (PLC) theory, which has a long history, has been applied to a great number of industries and products and is widely used in the management domain. In this study, we apply classical PLC theory to mobile Apps on Apple smartphone and tablet devices (Apple App Store). Instead of trying to utilize often-unavailable sales or download volume data, we use open-access App daily download rankings as an indicator to characterize the normalized dynamic market popularity of an App. We also use this ranking information to generate an App life cycle model. By using this model, we compare paid and free Apps from 20 different categories. Our results show that Apps across various categories have different kinds of life cycles and exhibit various unique and unpredictable characteristics. Furthermore, as large-scale heterogeneous data (e.g., user App ratings, App hardware/software requirements, or App version updates) become available and are attached to each target App, an important contribution of this paper is that we perform in-depth studies to explore how such data correlate and affect the App life cycle. Using different regression techniques (i.e., logistic, ordinary least squares, and partial least squares), we built different models to investigate these relationships. The results indicate that some explicit and latent independent variables are more important than others for the characterization of App life cycle. In addition, we find that life cycle analysis for different App categories requires different tailored regression models, confirming that inner-category App life cycles are more predictable and comparable than App life cycles across different categories.

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