The Use of Extrinsic Cues to Facilitate Product Adoption

1982 ◽  
Vol 19 (2) ◽  
pp. 229-239 ◽  
Author(s):  
William O. Bearden ◽  
Terence A. Shimp

Two field experiments were conducted to explore the effects of varying levels of product warranty, manufacturer reputation, and price on consumers’ risk perceptions and affective responses to new product concepts. Data were collected from a consumer panel in a new product concept test format for a tire product and for a computerized exercise device. Results from structural equation analyses reveal the important role of warranties and other extrinsic cues in reducing consumers’ risk perceptions and enhancing their affective responses to innovative product concepts.

2014 ◽  
Vol 3 (1) ◽  
pp. 44 ◽  
Author(s):  
SaEd M. Salhieh ◽  
Mira Y. Al-Harris

New product concept development is considered to be a critical step and the main determinant for the success or failure of new product development. This paper introduces a new methodology for the evaluation and selection of new product concepts using Data Envelopment Analysis (DEA) and Conjoint Analysis (CA). The proposed methodology integrates customer perceived value of the new product concepts through the use of CA and uses this perceived value as a measure for the new concepts performance. In addition, the methodology takes into account the development burden that a company has to perform to bring the new concept into a state of market readiness. This development burden is estimated by determining two main factors, namely the burden to produce and the burden to sell the new product concept. The customer perceived value and the development burden are both used in DEA to evaluate the new product concepts resulting in the selection of the best product concept. The applicability of the proposed methodology is illustrated through a case study. Keywords: Product development, concept selection, data envelopment analysis, conjoint analysis.


2021 ◽  
Vol 1 ◽  
pp. 1907-1916
Author(s):  
Kai G. Mertens ◽  
Mark Schmidt ◽  
Tugba Yildiz ◽  
Matthias Meyer

AbstractProduct concept generation and evaluation are critical for the success of new product developments (NPD) because managers need to select the most profitable product concepts. However, current approaches can be restricted to single products and do not cover product families' effects. Similarly, they do not necessarily capture all requirements and usually lack extensive cost analyses. Thus, this paper proposes a framework supporting product concept generation and evaluation by providing an accessible conceptualization to overcome the limitations. Using the so-called Extended Axiomatic Design (EAD) supports designers and managers to configure the requirements across product concepts' various domains while concurrently evaluating their economic consequences. The study applies the framework on a simplified case of a bottle manufacturer to conceptualize four product concepts. The case illustrates how the EAD can be used as a virtual testbed to generate and evaluate new product concepts. Finally, designers and managers can make more informed decisions about product concepts by considering their economic and engineering selection criteria to select the most profitable NPD project configuration.


Author(s):  
Swithin S. Razu ◽  
Shun Takai

Estimation of demand is one of the most important tasks in new product development. How customers come to appreciate and decide to purchase a new product impacts demand and hence profit of the product. Unfortunately, when designers select a new product concept early in the product development process, the future demand of the new product is not known. Conjoint analysis is a statistical method that has been used to estimate a demand of a new product concept from customer survey data. Although conjoint analysis has been increasingly incorporated in design engineering as a method to estimate a demand of a new product design, it has not been fully employed to model demand uncertainty. This paper demonstrates and compares two approaches that use conjoint analysis data to model demand uncertainty: bootstrap of respondent choice data and Monte Carlo simulation of utility estimation errors. Reliability of demand distribution and accuracy of demand estimation are compared for the two approaches in an illustrative example.


2016 ◽  
Vol 20 (02) ◽  
pp. 1650027
Author(s):  
MANABU MIYAO

The product concept is crucial in new product development (NPD) because it represents an NPD project’s goal. In this context, most prior studies have regarded product concept development as a linear process but some recent studies have revealed that it also has nonlinear characteristics. The objective of this paper is to explore why this inconsistency has arisen and to develop a model and theory that illustrate both aspects of product concept development. To achieve this, we adopt the perspective of organisational interpretation systems (Daft and Weick (1984). Toward a model of organisations as interpretation systems. Academy of Management Review, 9(2), 289–295) and explore eight product development cases. Consequently, we develop a three-stage model and find that the linearity or nonlinearity of product concept development is determined by each NPD team’s assumption about the environment. We also consider product innovativeness and function equivocality, and establish that these are related to the NPD teams’ assumptions about the environment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hao Shen ◽  
Yu Gao ◽  
Chuan Liu ◽  
Xiangru Chen

Purpose Integrating the coopetition perspective with institutional theory, this study aims to determine how balanced patterns (BPs) and combinative patterns (CPs) of coopetition impact firms’ new product development (NPD) and how these effects are contingent on the various types of interactions between firms and the institutional environments in which they are embedded. Design/methodology/approach To test the hypotheses, 303 firms in China were surveyed. Based on the responses, the proposed model was estimated using structural equation modeling and hierarchical regression analysis. Findings The findings indicate that CP of coopetition enhances NPD but a BP of coopetition impedes NPD. Further, the results suggest that obtaining government support positively moderates the effect of the CP on NPD but negatively moderates the effect of the BP. Conversely, influencing government policy negatively moderates the effect of the CP but positively moderates that of the BP on NPD. Research limitations/implications The findings indicate that different patterns of inter-firm coopetition may have different effects on NPD, thus, providing a holistic and dynamic understanding of the contingent value of coopetition for NPD. The findings also suggest that the complex effects of coopetition on NPD are influenced by institutional interactions, introducing further contingencies to the process of coopetition-based innovation. Practical implications This study provides guidelines for managers seeking to fully understand and capitalize on the dual nature of coopetition: they should be cautious about the different patterns of competition – cooperation interaction and manage their interactions with institutional environments to increase the benefits and avoid the potential damage that different types of coopetition may bring. Originality/value This study offers direct insights into the balanced nature of coopetition and opens up an avenue for further exploration of the specific effects of cooperation dominance and competition dominance on firm performance in the business-to-business context. Moreover, the proposed contingency model offers a potential interface between institutional and coopetition research on NPD in marketing and strategic fields.


Agronomy ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 186 ◽  
Author(s):  
Yushi Zhang ◽  
Yubin Wang ◽  
Delian Ye ◽  
Wei Wang ◽  
Xinming Qiu ◽  
...  

Stalk strength is critical for reducing maize stalk lodging and maintaining grain yield. Ethephon has been widely applied to molding compact plant-type to reduce the lodging risk in maize production. However, there is little information on how ethephon regulates internode mechanical properties to improve maize stalk strength. Multiyear field experiments (2013–2017) were conducted to determine the effects of foliar-applied ethephon on summer maize internode morphological, chemical and mechanical characteristics. The hypothetical structural equation model was used to analyze the contribution of ethephon-induced changes of internode morphological and chemical traits to stalk mechanical strength. Ethephon significantly reduced the basal internode length, while increasing internode diameters and breaking resistance. Meanwhile, ethephon significantly increased the ratio of structural dry matter to total dry matter and the amount of structural dry matter per unit length and volume. Mechanical assays suggested that ethephon significantly altered geometric properties and increased the maximum bending moment, maximum failure force, while depressing the material properties. Furthermore, correlation and path analyses revealed strong correlations and significant contribution of internode morphological properties to stalk mechanical strength, respectively. These results support the conclusion that ethephon-induced morphology alteration played a major role in improving maize internode strength.


2011 ◽  
Vol 15 (01) ◽  
pp. 95-119 ◽  
Author(s):  
Thorsten Teichert ◽  
Ricarda B. Bouncken

Innovation is a strategic issue in need of internal and external alignment. This is particularly the case for supplier innovations, as new product concepts and strategies must cope with supply chain interfaces. Suppliers' strategies are oftentimes confronted by innovation rigidities resulting from a manufacturers' need to manage the integration of several components from various suppliers into a coherent innovation. Suppliers can follow different innovation strategies derived from a deliberate planning or a emerging as suppliers incrementally learn and experiment along their path. A survey of 241 suppliers illustrates that these two strategic types effect on market success depends on the level of the rigidities. The survey results also illustrate that two dynamic capabilities, the planning capability and the innovation orientation, act as intermediary variables to increase success under specific rigidity conditions. The findings further illustrate that dynamic capabilities can be enhanced by an adequate strategy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Rosa Carballo ◽  
Carmelo Javier León ◽  
María Magdalena Carballo

Purpose This paper aims to study the influence of gender on the theoretical and empirical relationships between tourists’ risk perceptions and both destination image and behavioural intentions. Design/methodology/approach An empirical study was carried out with potential tourists at home in Germany and the UK considering travelling to Spain, Egypt, Morocco, Brazil, Colombia and Indonesia. Data were analysed using structural equation modelling with multi-group analysis. Findings Results show that gender moderates the theoretical relationships between risk perception and both destination image and behavioural intentions. Risk perception is higher for women than for men and depends on the type of risks and the characteristics of the destination. Women are more likely than men to reduce their visit to a destination whenever there is an increase in their risk perceptions. However, the influence of risk perception on destination image is higher for men than for women. Thus, results prove there are significant gender differences in the theoretical relationships between risk perceptions and destination image and visiting intentions. Originality/value This paper provides new evidence on the gender differences in risk perceptions in tourism and their impact on destination image and visiting intentions, showing that whenever there are higher risks at a tourist destination women do change more than men their behavioural intentions. The results are useful for designing risk management and promotion policies at destinations that avoid the masculinisation bias, thereby considering the impact of gender differences on travel behaviour and consumption decisions.


2019 ◽  
Vol 20 (6) ◽  
pp. 1168-1188
Author(s):  
Dariusz Dabrowski

Market knowledge is recognised as an important predictor of new product performance, which existing studies have proven. However, a missing link in this relationship is creativity, and specifically, as a natural process in product innovation. This study aims to examine a model that includes two mediating mechanisms between market knowledge scope and two new product outcomes, respectively: a new product’s competitive advantage and its commercial success. In both cases two mediators are used that represent dimensions of creativity—i.e. a product’s meaningfulness and novelty. The model was tested on a sample of 374 Polish medium-high- and high-technology companies using structural equation modelling. The results indicated that market knowledge is transferred to both new product outcomes through new product creativity, albeit somewhat differently. The first mediating mechanism, which explains the factor of competitive advantage, operates only through the indirect effects of both the product’s meaningfulness and its novelty. The second mechanism works directly, through the market knowledge’s effect on commercial success, as well as indirectly, through product meaningfulness. Subsequently, theoretical and managerial implications as well as indications for future research are provided based on these findings.


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