Forecasting the impact of a new product introduction

1974 ◽  
Vol 2 (2) ◽  
pp. 391-400 ◽  
Author(s):  
James E. Reinmuth
Keyword(s):  
New Product ◽  
New Product Introduction ◽  
Product Introduction ◽  
The Impact

Learning-by-Exporting, Introduction of New Products, and Product Rationalization: Evidence from Korean Manufacturing

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Chin Hee Hahn
Keyword(s):  
Manufacturing Sector ◽  
New Products ◽  
New Product ◽  
Export Market ◽  
New Product Introduction ◽  
Product Introduction ◽  
Learning By Exporting ◽  
Product Scope ◽  
One Year ◽  
The Impact

Abstract Utilizing a previously unexplored plant-product matched dataset in the Korean manufacturing sector, this paper examines the impact of exporting on firms’ productivity and the mechanism by which it operates. We find strong evidence for the learning-by-exporting hypothesis. We also find that exporting induces plants to introduce new products and rationalize their products beginning from one year prior to, and until two years after, export market entry. The synchronous responses of product churning and TFP suggest that new-product introduction and product rationalization are indeed one mechanism of the learning-by-exporting effect. Finally, we find that plants increase, rather than decrease, their product scope after exporting, in contrast with the prediction from the recent theories of multi-product firms.

The Impact of New Product Introduction on Plant Productivity in the North American Automotive Industry

2013 ◽  
Vol 59 (10) ◽  
pp. 2217-2236 ◽  
Author(s):  
Anandasivam Gopal ◽  
Manu Goyal ◽  
Serguei Netessine ◽  
Matthew Reindorp
Keyword(s):  
Automotive Industry ◽  
North American ◽  
New Product ◽  
Plant Productivity ◽  
New Product Introduction ◽  
Product Introduction ◽  
The North ◽  
The Impact

scholarly journals Blurred boundaries: A flexible approach for segmentation applied to the car market

2021 ◽  
Vol 12 (4) ◽  
pp. 1273-1305 ◽  
Author(s):  
Laura Grigolon
Keyword(s):  
New Product ◽  
New Product Introduction ◽  
Nested Logit ◽  
Demand Model ◽  
Product Introduction ◽  
Flexible Approach ◽  
Car Market ◽  
Product Proliferation ◽  
Differentiated Product Markets ◽  
The Impact

Prominent features of differentiated product markets are segmentation and product proliferation blurring the boundaries between segments. I develop a tractable demand model, the Ordered Nested Logit, which allows for asymmetric substitution between segments. I apply the model to the automobile market where segments are ordered from small to luxury. I find that consumers, when substituting outside their vehicle segment, are more likely to switch to a neighboring segment. Accounting for such asymmetric substitution matters when evaluating the impact of new product introduction or the effect of subsidies on fuel‐efficient cars.

scholarly journals The Impact of Additive Manufacturing on the Flexibility of a Manufacturing Supply Chain

2021 ◽  
Vol 11 (8) ◽  
pp. 3707
Author(s):  
Ageel Abdulaziz Alogla ◽  
Martin Baumers ◽  
Christopher Tuck ◽  
Waiel Elmadih
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
New Product ◽  
Supply Chain Design ◽  
New Product Introduction ◽  
Product Introduction ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
The Impact

There is an increasing need for supply chains that can rapidly respond to fluctuating demands and can provide customised products. This supply chain design requires the development of flexibility as a critical capability. To this end, firms are considering Additive Manufacturing (AM) as one strategic option that could enable such a capability. This paper develops a conceptual model that maps AM characteristics relevant to flexibility against key market disruption scenarios. Following the development of this model, a case study is undertaken to indicate the impact of adopting AM on supply chain flexibility from four major flexibility-related aspects: volume, mix, delivery, and new product introduction. An inter-process comparison is implemented in this case study using data collected from a manufacturing company that produces pipe fittings using Injection Moulding (IM). The supply chain employing IM in this case study shows greater volume and delivery flexibility levels (i.e., 65.68% and 92.8% for IM compared to 58.70% and 75.35% for AM, respectively) while the AM supply chain shows greater mix and new product introduction flexibility, indicated by the lower changeover time and cost of new product introduction to the system (i.e., 0.33 h and €0 for AM compared to 4.91 h and €30,000 for IM, respectively). This work will allow decision-makers to take timely decisions by providing useful information on the effect of AM adoption on supply chain flexibility in different sudden disruption scenarios such as demand uncertainty, demand variability, lead-time compression and product variety.

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