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Strategic Orientation of the Firm and New Product Performance

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Abstract

The authors seek to understand which of three different strategic orientations of the firm (customer, competitive, and technological) is more appropriate, when, and why it is so in the context of developing product innovations. They propose a structural model of the impact of the strategic orientation of the firm on the performance of a new product. The results provide evidence for best practices as follows: (1) A firm wishing to develop an innovation superior to the competition must have a strong technological orientation; (2) a competitive orientation in high-growth markets is useful because it enables firms to develop innovations with lower costs, which is a critical element of success; (3) firms should be consumer- and technology-oriented in markets in which demand is relatively uncertain—together, these orientations lead to products that perform better, and the firm will be able to market innovations better, thereby achieving a superior level of performance; and (4) a competitive orientation is useful to market innovations when demand is not too uncertain but should be de-emphasized in highly uncertain markets.

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The authors provide an empirical test of the effects of competition on the adoption of technological innovations by organizations. They follow the conceptualization developed in the model they proposed previously in the Journal of Marketing. An empirical study of the factors accounting for the adoption or rejection of a high technology innovation is reported. The results suggest that firms most receptive to innovation are in concentrated industries with limited price intensity and that supplier incentives and vertical links to buyers are important in achieving adoption. The results also suggest that adopters can be separated from nonadopters by their information-processing characteristics.
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Rudy Moenaert, William Souder, Arnoud De Meyer, and Dirk Deschoolmeester report the results of their study of forty technologically innovative Belgian companies to examine the interaction between marketing and R&D. They studied one commercially successful and one commercially unsuccessful technological product innovation project in each participating company and collected data from one marketing and one R&D respondent per project. Communication flows between marketing and R&D are increased under conditions involving formalization of projects, decentralization, positive interfunctional climate, and role flexibility.
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The concept of customer orientation in salespeople is defined, a scale is developed to measure the degree to which salespeople engage in customer-oriented selling, and the properties of the scale are reported. A test of the nomological validity indicates the use of customer-oriented selling is related to the ability of the salespeople to help their customers and the quality of the customer-salesperson relationship.
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This research uses innovation characteristics to assess product potential at two points in time. The two phases of the study consist of: (1) proposing and estimating purchase intention models and (2) reconciling predicted success with actual product performance. The investigation focuses on the impact of perceived product attributes, environmental variables, and consumer traits on the purchase intention of actual innovations within several technologically intensive product categories. Differences in model specification and parameter values are noted across product types. Results indicate consistency in the impact of product attributes across categories on an innovation's acceptability, but suggest differences in model specification with respect to environmental variables and consumer traits. The existence of a generic-to-specialized innovation continuum is a possible cause of the heterogeneity in results across products. An ex post analysis of the innovations indicates that, while success can be predicted quite accurately using perceived product attribute ratings, consumer and environmental variables should not be ignored for particular categories. The study has implications for the early screening of innovative durables, specifically with respect to forecasting model potential, determining product design and positioning, and developing promotional messages.
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This empirical study compares the marketing strategies and organisations of a matched sample of American, Japanese and local competitors in the British market. Japanese subsidiaries in Britain are shown to be much more marketing oriented, more single minded in their pursuit of market share and more alert to strategic opportunities than their U.S. and British counterparts. American subsidiaries appear less committed to the UK, home country oriented and, like their British competitors, excessively concerned with short term profit performance.
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Having estimated a linear regression with p coefficients, one may wish to test whether m additional observations belong to the same regression. This paper presents systematically the tests involved, relates the prediction interval (for m = 1) and the analysis of covariance (for m > p) within the framework of general linear hypothesis (for any m), and extends the results to testing the equality between subsets of coefficients.
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"Quadrads" (double dyads) of interviews, each conducted with a pair of marketing executives at a Japanese vendor firm and a pair of purchasing executives at a Japanese customer firm, provided data on corporate culture, customer orientation, innovativeness, and market performance. Business performance (relative profitability, relative size, relative growth rate, and relative share of market) was correlated positively with the customer's evaluation of the supplier's customer orientation, but the supplier's own assessment of customer orientation did not correspond well to that of the customer. Japanese companies with corporate cultures stressing competitiveness (markets) and entrepreneurship (adhocracies) outperformed those dominated by internal cohesiveness (clans) or by rules (hierarchies). Successful market innovation also improved performance.
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Drawing on research in marketing strategy and industrial organization economics, the authors develop a model to describe the impact of strategies for introducing a new brand, aspects of the competitive environment, and firm characteristics on the performance of new brands. They test the model for 68 new brands in the pharmaceutical industry using a nested error component model. The results indicate which factors affect brand introduction strategies in marketing.
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In recent years, academic and practitioner interest has focused on market orientation and factors that engender this orientation in organizations. However, much less attention has been devoted to developing a valid measure of market orientation. Here we define market orientation as the organizationwide generation of market intelligence pertaining to current and future needs of customers, dissemination of intelligence horizontally and vertically within the organization, and organizationwide action or responsiveness to market intelligence. The authors describe a procedure to develop a measure of the construct. Key features of the research methodology include several rounds of pretesting, a single-informant assessment, and a multi-informant (both marketing and nonmarketing executives) replication and extension. The multi-informant results indicate that the proposed 20-item market orientation scale (MARKOR) may be best represented by a factor structure that consists of one general market orientation factor, one factor for intelligence generation, one factor for dissemination and responsiveness, one marketing informant factor, and one nonmarketing informant factor. Taking into account the informant factors, the subsequent validation tests are moderately supportive of the market orientation construct. The authors discuss methodological, substantive, and application directions for future research in light of these findings.
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This article takes as its central concern the diffusion of high technology innovation among business organizations. A set of propositions is developed that focuses on the competitive factors influencing diffusion. The article suggests how the supply-side competitive environment and the adopter industry competitive environment both affect diffusion of new technologies. The article seeks to extend the current behavioral paradigm for studying innovation diffusion by incorporating competitive factors as explanatory variables.
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The authors provide an empirical test of the effects of competition on the adoption of technological innovations by organizations. They follow the conceptualization developed in the model they proposed previously in the Journal of Marketing. An empirical study of the factors accounting for the adoption or rejection of a high technology innovation is reported. The results suggest that firms most receptive to innovation are in concentrated industries with limited price intensity and that supplier incentives and vertical links to buyers are important in achieving adoption. The results also suggest that adopters can be separated from nonadopters by their information-processing characteristics.
Book
Getting an innovation adopted is difficult; a common problem is increasing the rate of its diffusion. Diffusion is the communication of an innovation through certain channels over time among members of a social system. It is a communication whose messages are concerned with new ideas; it is a process where participants create and share information to achieve a mutual understanding. Initial chapters of the book discuss the history of diffusion research, some major criticisms of diffusion research, and the meta-research procedures used in the book. This text is the third edition of this well-respected work. The first edition was published in 1962, and the fifth edition in 2003. The book's theoretical framework relies on the concepts of information and uncertainty. Uncertainty is the degree to which alternatives are perceived with respect to an event and the relative probabilities of these alternatives; uncertainty implies a lack of predictability and motivates an individual to seek information. A technological innovation embodies information, thus reducing uncertainty. Information affects uncertainty in a situation where a choice exists among alternatives; information about a technological innovation can be software information or innovation-evaluation information. An innovation is an idea, practice, or object that is perceived as new by an individual or an other unit of adoption; innovation presents an individual or organization with a new alternative(s) or new means of solving problems. Whether new alternatives are superior is not precisely known by problem solvers. Thus people seek new information. Information about new ideas is exchanged through a process of convergence involving interpersonal networks. Thus, diffusion of innovations is a social process that communicates perceived information about a new idea; it produces an alteration in the structure and function of a social system, producing social consequences. Diffusion has four elements: (1) an innovation that is perceived as new, (2) communication channels, (3) time, and (4) a social system (members jointly solving to accomplish a common goal). Diffusion systems can be centralized or decentralized. The innovation-development process has five steps passing from recognition of a need, through R&D, commercialization, diffusions and adoption, to consequences. Time enters the diffusion process in three ways: (1) innovation-decision process, (2) innovativeness, and (3) rate of the innovation's adoption. The innovation-decision process is an information-seeking and information-processing activity that motivates an individual to reduce uncertainty about the (dis)advantages of the innovation. There are five steps in the process: (1) knowledge for an adoption/rejection/implementation decision; (2) persuasion to form an attitude, (3) decision, (4) implementation, and (5) confirmation (reinforcement or rejection). Innovations can also be re-invented (changed or modified) by the user. The innovation-decision period is the time required to pass through the innovation-decision process. Rates of adoption of an innovation depend on (and can be predicted by) how its characteristics are perceived in terms of relative advantage, compatibility, complexity, trialability, and observability. The diffusion effect is the increasing, cumulative pressure from interpersonal networks to adopt (or reject) an innovation. Overadoption is an innovation's adoption when experts suggest its rejection. Diffusion networks convey innovation-evaluation information to decrease uncertainty about an idea's use. The heart of the diffusion process is the modeling and imitation by potential adopters of their network partners who have adopted already. Change agents influence innovation decisions in a direction deemed desirable. Opinion leadership is the degree individuals influence others' attitudes
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Innovation is conceptualized in different ways from firm to firm. While some firms tend to accept a more conservative approach towards innovation, other firms approach innovation from a more entrepreneurial perspective. A conservative model of innovation and an entrepreneurial model of innovation are presented, considering such firm characteristics as environmental variables, information processing variables, structural variables, and decision making variables. The methodology for the study includes data collected via questionnaire from 52 diverse firms in the Montreal region; these firms represent a variety of industries, including broadcasting, food, electronics, chemicals, and publishing, to name a few. The data were analyzed using both a correlational analysis and curvilinear regression analysis to better understand the influence of the respective variables for each model. The findings indicate that innovation within conservative firms correlates positively to the aforementioned variables. Within conservative firms, innovation occurs when 1) environmental challenges and instabilities are present; 2) these instabilities are made explicit to and analyzed by the management team; and 3) financial and structural resources are available for innovation to occur. Entrepreneurial firms also exhibit positive correlations with environmental and structural variables; however, negative correlations are also observed regarding information processing, decision making, and structural integration. Innovation occurs on an extreme level within entrepreneurial firms except in cases when information processing systems, as well as analytical and strategic planning processes and structural integration devices, warn the management team of the risks associated with extreme innovation. The results indicate that a balance between the extremes of conservativism and entrepreneurship must be considered. (AKP)
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The assessment of company performance is one of the major dilemmas facing the strategic researcher. This paper reviews the alternative methods available, then uses one approach, peer assessment, to produce a guide to British company performance. Britain's best companies are identified and their profiles are examined. Their declared financial strengths and relative weaknesses in marketing and innovation are identified.
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Strategic management researchers often encounter problems obtaining objective measures of selected aspects of organizational performance that are reliable and valid. With privately-held firms, such data are frequently unavailable. With conglomerate business units, all or parts of such data are inextricably interwoven with corporate-wide data. This paper examines the usefulness of subjective performance measures, obtained from top management teams, when problems are encountered in obtaining accurate performance data.