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 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.

Regression models for estimating product life cycle cost

2008 ◽  
Vol 20 (4) ◽  
pp. 401-408 ◽  
Author(s):  
Haifeng Liu ◽  
Vivekanand Gopalkrishnan ◽  
Kim Thi Nhu Quynh ◽  
Wee-Keong Ng
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Regression Models ◽  
Product Life Cycle ◽  
Product Life

scholarly journals MENGHADAPI PERSAINGAN PENYELENGGARA IBADAH HAJI KHUSUS (PIHK) DAN PENYELENGGARA PERJALANAN IBADAH UMRAH (PPIU) DI KALIMANTAN SELATAN MELALUI STRATEGI SIKLUS HIDUP PRODUK

2019 ◽  
Vol 18 (1) ◽  
pp. 27
Author(s):  
Devi Noviyanti
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Great Opportunity ◽  
Product Life ◽  
The Third ◽  
The People ◽  
Life Cycle Strategy ◽  
Majority Population ◽  
The Face ◽  
The One

As country with majority population of Muslims, Indonesia has provided a great opportunity for Organizers of the Special Hajj Worship (Penyelenggara Ibadah Haji Khusus-PIHK) and Organizers of the Umrah Worship Tour (Penyelenggara Perjalanan Ibadah Umrah-PPIU) to serve the people that want to departing the Hajj in a faster time. This opportunity because of the high interest of the Indonesian people to perform the Hajj worship, which has led to the long waiting of period for the Hajj worship through the regular Hajj. The province of South Kalimantan, which is the one of province with the third longest regular hajj waiting period time, provides extensive potential for PIHK and PPIU to carry out activities in order to provide services for special hajj and umrah. Therefore, it is important to do various strategies by PIHK and PPIU in South Kalimantan in the face of competition, one of them is through the product life cycle strategy (product life cycle)

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