What is the Predictive Power of Market Orientation?

The majority of studies on market orientation claim that compelling evidence exists that market orientation has a positive effect on business performance. This study takes a closer look at forty studies that have addressed the relationship between market orientation and business performance in the past thirteen years. The results show that there is no unequivocal evidence as to if and when market orientation has a positive impact on business performance. There is however some unequivocal proof, albeit limited, on how market orientation influences business performance. These findings are unsettling for academics and managers because market orientation is the foundation of marketing strategy

The Mediating Effect of NPD-Activities and NPD-Performance on the Relationship between Market Orientation and Organizational Performance

Empirical research has demonstrated that a market orientation has in general a positive effect on organizational performance. The potential benefits of a market orientation have, however, not been realized because academics and practitioners do not yet understand the modus operandi that transform market orientation into superior organizational performance. Recent research has demonstrated that the proficiency in new product development (NPD) activities might be the key in the conversion of market orientation into superior NPD-performance, and hence, organizational performance. This study is designed to test a set of hypotheses related to the interrelationships among market orientation, the proficiency in NPD-activities, NPD-performance, and organizational performance. The results from a sample of 126 manufacturing firms in the Netherlands present evidence for the mediating role of the proficiency in several NPD-activities and NPD-performance in the relationship between market orientation and organizational performance. The fact that this mediating role has been found thus provides a better understanding of how market-oriented behaviors are transformed into superior value for customers

Understanding Brand and Dealer Retention in the New Car Market: The Moderating Role of Brand Type

Dealers are assumed to contribute positively to brand retention. We argue that the type of brand moderates the effect of dealer performance on brand retention. Moreover, dealer retention is determined by different drivers for dealers selling different types of brands. To analyze our claims empirically, we collected data on brand retention and dealer retention among consumers who recently purchased a new car. Our findings show that dealers of prestige and economy brands do not contribute to brand retention. Only dealers selling volume brands are in a position to improve brand retention rates. A simulation reveals however that the contribution of volume dealers to brand retention is rather small in comparison to the impact of brand-related variables on brand retention. In line with the notion of brand-dealer fit we also find that the impact of dealer extrinsic quality (e.g., dealer showrooms) and dealer payment equity on dealer retention differs between prestige, volume, and economy brands. Extrinsic dealer quality affects deale

The Effects of Self-Reinforcing Mechanisms on Firm Performance

This study empirically investigates the influence of the market-bound (i.e., interaction and network effects) on the firm-bound (i.e., scale and learning effects) self-r

A Managerial Perspective on the Logic of Increasing Returns

The focus of this study is on the challenges faced by managers in effectively dealing with the new management logic of increasing returns as the information and knowledge intensi

Understanding a Two-Sided Coin: Antecedents and Consequences of a Decomposed Product Advantage

This article investigates the antecedents and consequences of two product advantage components: product meaningfulness and product superiority. Product meaningfulness concerns the benefits that users receive from buying and using a new product, whereas product superiority concerns the extent to which a new product outperforms competing products. The authors argue that scholars and managers should make a deliberate distinction between the two components because they are theoretically distinct and also have different antecedents and consequences. The authors collected data through an online survey on 141 new products from high-tech companies located in the Netherlands. The results reveal that new products need to be meaningful as well as superior to competing products in order to be successful. This finding is consistent with the prevailing aggregate view on product advantage in the literature. However, the results also show that the effects of the two components on new product performance are moderated by market turbulence. Although each component is important in that it forms a necessary precondition for the other to affect new product performance under circumstances of moderate market turbulence, meaningfulness is most important for new product performance in turbulent markets where preferences have not yet taken shape. In contrast, when markets become more stable, the uniqueness of meaningful attributes decreases and new products that provide advantage by fulfilling their functions in a way that is superior to competing products are more likely to perform well. In addition, the study shows that the firm’s customer and competitor knowledge processes independently lead to product meaningfulness and superiority, respectively. The findings also reveal that under conditions of high technological turbulence, the customer and competitor knowledge processes complement each other in creating product meaningfulness and superiority. This implies that the level of technological turbulence puts requirements upon the breadth of firms’ market knowledge processes in order to create a new product with sufficient advantage to become successful. The authors conclude that neglecting the distinction between product meaningfulness and superiority when assessing a new product’s advantage may lead to an incomplete insight on how firms can improve the performance of their new products

The Effect of Members' Satisfaction with a Virtual Community on Member Participation

The authors develop a four-dimensional scale to measure members' satisfaction with virtual communities. The dimensions consist of members' satisfaction with member-member interactions, organizer-member interactions, organizer-community interactions, and the community's site. Using a sample of 3605 members of a virtual community the authors investigate the effect of each satisfaction dimension on member participation and the moderating effect of membership length on the links between the satisfaction dimensions and member particip ation. The results reveal that satisfaction with member-member interactions, organizer-member interactions and the community's site have positive effects on member participation. Satisfaction with organizer-community interactions has no effect on member participation. The findings also show that the linkages between the satisfaction dimensions and member participation are moderated by membership length

How to Determine the Increasing Returns Sensitivity of Your Industry?

Increasing returns means that self-reinforcing mechanisms are at work within firms and markets. These mechanisms come in four forms: scale effects, learning effects, network effects and social interaction effects. Some industries are more sensitive to increasing returns than others. It is important that managers are able to assess the increasing returns sensitivity of their industry. Therefore we have developed an analytical tool that allows managers to assess their industry’s sensitivity to increasing returns. Four case studies are used to illustrate this typology. The analytic tool shows that an industry has high increasing returns sensitivity if a combination of the following situations exists: 1) high fixed costs and low, or even zero, variable costs, indicating a high sensitivity to scale effects, 2) a high level of complexity of the business process and/or the products, indicating a high sensitivity to learning effects, 3) low product utility and high network utility, indicating a high sensitivity to network effects and finally, 4) a high degree of social involvement by customers and potential customers, indicating a high sensitivity to social interaction effects

Development time and new product sales: A contingency analysis of product innovativeness and price

Opposing theories and conflicting empirical results with regard to the effect of development time on new product sales suggest the need for a contingency analysis into factors affecting this relationship. This study uses a unique combination of accounting and perceptual data from 129 product development projects to test the combined contingency effect of product innovativeness and new product price on the relationship between development time and new product sales. The results show that for radically new products with short development times, price has no effect on new product sales. When the development time is long, price has a negative effect on the sales of radical new products. The findings additionally show that price has no effect on sales for incremental new products with short development times and a negative effect for incremental new products with long development times. Together, these findings shed new light on the relationship between development time and new product sales