scholarly journals Analysis of the behaviour of the clients assisted and sales variables in the different phases of the product life cycle

2018 ◽  
Vol 27 (3) ◽  
pp. 266-284 ◽  
Author(s):  
Aida Galiano ◽  
Vicente Rodríguez ◽  
Manuela Saco
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Business Management ◽  
Bass Model ◽  
Business Decision ◽  
Product Life ◽  
Content Type ◽  
Nonlinear Regression Models ◽  
Sales And Marketing ◽  
Practical Implications

Purpose The Bass model was created to analyse the product life cycle (PLC) in order to help sales and marketing departments in their business decision making. The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments. Design/methodology/approach In this research, the authors analysed the 223,577 clients assisted by a nationwide network of car dealerships, who acquired 36,819 vehicles, during a 24-month period. In the analysis, the Bass model was applied to define the PLC phases; and nonlinear regression models were used to carry out the estimations. Findings The results show that more consistent estimates of the PLC phases are obtained from the clients assisted variable. This work has theoretical and practical implications that can help business management. Research limitations/implications The most remarkable thing about this research is that we have shown that the functionality of the clients assisted variable is greater than the sales variable for the Bass model and, therefore, for PLC estimation. Practical implications The results of this research are very useful, since they allow marketing decision makers to obtain more consistent estimations of the PLC phases using the Bass model and the clients assisted variable. This is based on the fact that the use of this variable helps to detect if there is any deficiency in the design of the marketing strategy when the client does not make the purchase. Social implications The data on clients assisted are as easily available to companies as sales data. However, the use of this variable improves PLC analysis and this allows an improvement in company forecasting. Thus, making the clients assisted variable a tool to strategically plan investments in innovation and marketing would reduce uncertainty in business management. Originality/value The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

scholarly journals Are assisted clients an outstanding variable to analyze the Product Life Cycle?

2018 ◽  
Vol 7 (2) ◽  
pp. 72
Author(s):  
Aida Galiano Martínez ◽  
Vicente Rodríguez Rodríguez ◽  
Manuela Saco Vázquez
Keyword(s):  
Life Cycle ◽  
Regression Models ◽  
Product Life Cycle ◽  
Enterprise Management ◽  
Bass Model ◽  
Linear Regression Models ◽  
Product Life ◽  
Main Target ◽  
The Face ◽  
Practical Implications

The forecasts about the behaviour of the Product Life Cycle (PLC) have been done by the Bass Model. The main contribution of this investigation is to propose the use of the assisted clients variable in the face of sales variable. Its main target is to analyze which variable is the most useful to calculate the stages of the PLC through Bass model, proposing a new way to manage marketing and sales departments in companies. In this investigation 223.557 assisted clients were analyzed nationwide by an automobile network dealer, 36.819 of them purchased cars during 24 months, which was the period of the study. In this analysis, the Bass model and non linear regression models were applied to define the stages of the product life cycle. The results show that we can get more consistent estimations of the product life cycle thanks to assisted clients’ variable. This study has theoretical and practical implications that can help enterprise management.

scholarly journals Integrated framework for strategic cost management based on target costing, ABC, and product life-cycle in PDP: Empirical experience

2020 ◽  
Vol 10 (1) ◽  
pp. 31-43
Author(s):  
Maísa Martins Ferreira ◽  
Selma Regina Martins Oliveira
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Development Process ◽  
Cost Management ◽  
Business Management ◽  
Target Costing ◽  
Product Lifecycle ◽  
Product Life ◽  
Integrated Framework ◽  
Strategic Cost Management

This study aims to contribute to the planning process on product management. To do so it presents a integrated framework based on strategic cost management, using the methods target costing, activity-based cost (ABC) based on the product lifecycle. This proposal was structured as it follows: Phase 1: determining Target Cost; Phase 2: determining ABC defrayal to the light of the defrayal based on the product lifecycle. The research was elaborated to the light of specialized literature, from which we extracted the variables to formulate the methodology. After that, to show the feasibility and plausibility of the method we applied a hypothetical case study based on the development process of a product to the light of a course/MBA in Business Management in Institution of Higher Education in Brazil. The results were satisfactory and validated the proposal suggested. The survey findings indicate that the integrated method between ABC, target costing and products lifecycle applied in MBA Business Management is quite satisfactory.   Keywords: Framework, target costing, activity-based cost (ABC), costing based on product life-cycle, product development process (PDP);

When do megaprojects start and finish? Redefining project lead time for megaproject success

2014 ◽  
Vol 7 (4) ◽  
pp. 624-637 ◽  
Author(s):  
Carlos Eduardo Yamasaki Sato ◽  
Milton de Freitas Chagas Jr
Keyword(s):  
Life Cycle ◽  
Lead Time ◽  
Product Life Cycle ◽  
Product Life ◽  
Content Type ◽  
Operational Life ◽  
Initial Idea ◽  
The Moment ◽  
Project Lead

Purpose – The purpose of this paper is to propose to redefine the concept of project lead time (PLT) to encompass the time between the project initial idea and the moment in which success is being assessed, which can be beyond the project close-out, using whatever criteria is appropriate for the stakeholder at that moment in time. The conventional project life cycle does not count for the long-term effects of the megaproject, which can have a significant impact on its perception of success. Thus the megaproject life cycle should include a significant part of the operational life cycle of the end product or result, and the criteria of success should include the long-term benefits of the project (measured along various years after the delivery of the end product or result). Design/methodology/approach – The paper uses three illustrative cases of megaprojects: Airbus A380, London Heathrow Terminal 5 and London Olympic Games 2012. These megaprojects, despite their problems in achieving objectives of time, cost and quality (the triple constraint), can be viewed as success or failure depending on the performance and benefits of the resulting product/infrastructure analysed over a long period of time after its delivery. Findings – In order to reconcile the usual distinction between project and product life cycle, and the various definitions of success in different moments of the project/product life cycle, the authors propose to redefine the concept of PLT to encompass the time between the project initial idea and the moment in which success is being assessed, beyond the project close-out, using any criteria which is appropriate for the stakeholder at that moment in time. Originality/value – When assessing the success of the megaproject it is important to define the PLT under which success is being assessed. As pointed out earlier, in findings, the authors propose to redefine the concept of PLT to encompass the time between the project initial idea and the moment in which success is being assessed, beyond the project close-out, using any criteria which is appropriate for the stakeholder at that moment in time.

Marketing communication in the digital age: online ads, online WOM and mobile game adoptions

2019 ◽  
Vol 10 (3) ◽  
pp. 382-407
Author(s):  
Shiyang Gong ◽  
Wanqin Wang ◽  
Qian Li
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Positive Impact ◽  
Investment Strategy ◽  
Marketing Communication ◽  
Media Effect ◽  
Data Set ◽  
Product Life ◽  
Content Type ◽  
The Impact

Purpose This study aims to explore the interdependent impacts of online word-of-mouth (WOM) and online ads on digital product adoptions, as well as their dynamic changes throughout the product life cycle. Design/methodology/approach This study adopted an empirical approach by using a unique data set of five mobile games launched between 2012 and 2014 provided by Renren Games Ltd. in China. Findings The results indicated that advertising generally has a positive impact on WOM. During the product life cycle, the influence on volume and variance gradually decreases, whereas the impact on valence increases over time. WOM (including WOM volume and WOM valence) and advertising both have positive impacts on game adoptions. They complement each other to shape adoptions throughout the product life cycle: advertising is more effective in encouraging adoptions in the early and later stages of the demand evolution process, whereas WOM has a greater impact on adoptions in the mid-stage. Practical implications This study provided detailed managerial recommendations on how to effectively integrate different types of marketing communication and optimize the investment strategy of online ads and online WOM in different stages of the product life cycle. Originality/value First, the study enriched the theory of digital marketing communication by studying the relationship between mass media (online ads), interpersonal media (online WOM) and product adoptions in the network context. Second, it provided an empirical basis for the inference of the dynamic development of media effect in the new product diffusion theory. Third, the results will be helpful to end the debate in current theoretical literature on whether there is a complementary or alternative relationship between the two effects. Last but not least, it enriched research on the antecedents and dynamic effects of online WOM.

Development and implementation of product sustainment simulator utilizing fuzzy cognitive map (FCM)

2016 ◽  
Vol 23 (2) ◽  
pp. 425-442 ◽  
Author(s):  
Benedict M. Uzochukwu ◽  
Silvanus J. Udoka ◽  
Femi Balogun
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Time ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Time Data ◽  
Apparent Lack ◽  
Product Life ◽  
Content Type ◽  
Design Metrics

Purpose – Managing product life cycle data is important for achieving design excellence, product continued operational performance, customer satisfaction and sustainment. As a result, it is important to develop a sustainment simulator to transform life cycle data into actionable design metrics. Currently, there is apparent lack of technologies and tools to synthesize product life time data. The purpose of this paper is to provide a description of how a product sustainment simulator was developed using fuzzy cognitive map (FCM). As a proof of concept, and to demonstrate the utility of the simulator, an implementation example utilizing product life time data as input was demonstrated. Design/methodology/approach – The sustainment simulator was developed using visual basic. The simulation experiment was accomplished using a FCM. The Statistical Analytical Software tool was used to run structural equation model programs that provided the initial input into the FCM and the simulator. Product life data were used as input to the simulator. Findings – There is an apparent lack of technologies and tools to synthesize product life time data. This constitutes an impediment to designing the next generation of sustainable products. Modern tools, technologies and techniques must be used if the goal of removing product design and sustainment disablers is to be achieved. Product sustainment can, therefore, be achieved using the simulator. Research limitations/implications – The sustainment simulator is a tool that demonstrates in a practical way how a product life time generated data can be transformed into actionable design parameters. This paper includes analysis of a sample generated using random numbers. The lack of actual data set is primarily due to reluctance of organizations to avail the public of actual product life time data. However, this paper provides a good demonstration of how product life time data can be transformed to ensure product sustainment. Practical implications – The technique used in this research paper would be very useful to product designers, engineers and research and development teams in developing data manipulation tools to improve product operational and sustainable life cycle performance. Sustainment conscious organizations will, no doubt, benefit from a strong comparative and competitive advantage over rivals. Originality/value – Utilizing the simulator to transform product life time data into actionable design metrics through the help of an efficient decision support tool like the FCM constitutes a step in supporting product life cycle management. The outcome of this paper alerts product designers on parameters which should be taken into account when designing a new generation of a given product(s).

Modeling and quantifying uncertainty in the product design phase for effects of user preference changes

2015 ◽  
Vol 115 (9) ◽  
pp. 1637-1665 ◽  
Author(s):  
Hamid Afshari ◽  
Qingjin Peng
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Product Life Cycle ◽  
User Preferences ◽  
User Preference ◽  
Design Parameters ◽  
Accurate Estimation ◽  
Product Life ◽  
Content Type ◽  
External Uncertainty

Purpose – The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes. Design/methodology/approach – Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty. Findings – The results show that the proposed method could identify product changes during its life cycle, particularly using the proposed BDA method. Practical implications – It is essential for manufacturers in the competitive market to know their product changes under uncertainty. Proposed methods have potential to optimize design parameters in complex environments. Originality/value – This research bridges the gap of literature in the accurate estimation of uncertainty. The research integrates the change prediction and change transferring, applies data management methods innovatively, and utilizes the proposed methods practically.

Forecasting product returns for recycling in Indian electronics industry

2014 ◽  
Vol 11 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh K. Singh ◽  
Qasim Murtaza
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Real Life ◽  
Supply Chain Design ◽  
Reverse Supply Chain ◽  
Product Returns ◽  
Supply Chain System ◽  
Product Life ◽  
Content Type

Purpose – The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time. Design/methodology/approach – Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns. A case of Indian mobile manufacturing company is discussed for the validation of this model. Survey conducted by the company and findings from previous research were used for data collection on probabilities and product life cycle. Findings – Product returns for their recycling are stochastic, random and uncertain. Therefore, to address the uncertainty, randomness and stochastic nature of product returns, GERT is very useful tool for forecasting product returns. Practical implications – GERT provides the visual picture of the reverse supply chain system and helps in determining the expected time of product returns in a much easier way but it requires probabilities of different flows and product life cycle. Both factors vary over a period, so require data update time to time before implementation. Originality/value – This model is developed by considering all possible flows of sold products from customer to their reuse, store or recycle or landfill. First time this type of real life flows have been considered and GERT has been applied for forecasting product returns. This model can be utilized by managers for better forecasting that will help them for effective reverse supply chain design.

A fuzzy embedded leagility assessment module in supply chain

2016 ◽  
Vol 23 (7) ◽  
pp. 1937-1982 ◽  
Author(s):  
Chhabi Ram Matawale ◽  
Saurav Datta ◽  
S.S. Mahapatra
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Business Environment ◽  
Inventory Level ◽  
Successful Implementation ◽  
Global Business ◽  
Managerial Implication ◽  
Product Life ◽  
Content Type

Purpose In today’s ever-changing global business environment, successful survival of manufacturing firms/production units depends on the extent of fulfillment of dynamic customers’ demands. Appropriate supply chain strategy is of vital concern in this context. Lean principles correspond to zero inventory level; whereas, agile concepts motivate safety inventory to face and withstand in turbulent market conditions. The leagile paradigm is gaining prime importance in the contemporary scenario which includes salient features of both leanness and agility. While lean strategy affords markets with predictable demand, low variety and long product life cycle; agility performs best in a volatile environment with high variety, mass-customization and short product life cycle. Successful implementation of leagile concept requires evaluation of the total performance metric and development of a route map for integrating lean production and agile supply in the total supply chain. To this end, the purpose of this paper is to propose a leagility evaluation framework using fuzzy logic. Design/methodology/approach A structured framework consisting of leagile capabilities/attributes as well as criterions has been explored to assess an overall leagility index, for a case enterprise and the data, obtained thereof, has been analyzed. Future opportunities toward improving leagility degree have been identified as well. This paper proposes a Fuzzy Overall Performance Index to assess the combined agility and leanness measure (leagility) of the organizational supply chain. Findings The proposed method has been found fruitful from managerial implication viewpoint. Originality/value This paper aimed to present an integrated fuzzy-based performance appraisement module in an organizational leagile supply chain. This evaluation module helps to assess existing organizational leagility degree; it can be considered as a ready reference to compare performance of different leagile organization (running under similar supply chain architecture) and to benchmark candidate leagile enterprises; so that best practices can be transmitted to the less-performing organizations. Moreover, there is scope to identify ill-performing areas (barriers of leagility) which require special managerial attention for future improvement.

A knowledge with ontology representation for product life cycle to support eco-design activities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeremy S. Liang
Keyword(s):  
Life Cycle ◽  
Web Application ◽  
Product Life Cycle ◽  
Generation Process ◽  
Evaluation Tool ◽  
Product Life ◽  
Content Type ◽  
Knowledge Repository ◽  
Ontology Language ◽  
Design Activities

Purpose This study aims to develop a synthetic knowledge repository consisted of interrelated Web Ontology Language. Design/methodology/approach The ontology composes the main framework to categorize data of product life cycle with eco-design mode (PLC-EDM) and automatically infer specialists’ knowledge for data confirmation, eventually assisting the utilizations and generation of strategies toward decision-making Findings (i) utilization of a novel model with ontology mode for information reuse cross the different eco-design applications; (ii) generation of a sound platform toward life cycle evaluation; and (iii) implementation of the PLC-EDM model along the product generation process. Research limitations/implications It cannot substitute an evaluation tool of life cycle. Certainly, this model does not predict the “target and range” and/or the depiction of the “utility module” that are basic activities in life cycle assessments as characterized through the international organization for standardization regulations. Practical implications As portion of this framework, a prototype Web application is presented which is applied to produce, reuse and verify knowledge of product life cycle. Social implications By counting upon the ontology, the information conducted by the utilization is certainly semantically represented to promote the data sharing among various participants and tools. Besides, the data can be verified against possible faults by inferring over the ontology. Hence, a feasible way to a popular topic in the domain of eco-design applications extension in the industry. Originality/value The goals are: to lean on rigid modeling principles; and to promote the interoperability and diffusion of the ontology toward particular utilization demands.

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