50th Anniversary Article: Technological Innovation, Product Development, and Entrepreneurship in Management Science

Published Online:https://doi.org/10.1287/mnsc.1040.0204

References

  • Abernathy W., Rosenbloom R. Parallel strategies in development projects. Management Sci. (1969) 15(10, Application Series):B486–B505LinkGoogle Scholar
  • Adler P. Shared learning. Management Sci. (1990) 36(8):938–957LinkGoogle Scholar
  • Adler P., Clark K. Behind the learning curve: A sketch of the learning process. Management Sci. (1991) 37(3):267–281LinkGoogle Scholar
  • Adler P., Mandelbaum A., Nguyen V., Schwerer E. From project ot process management: An empirically-based framework for analyzing product development time. Management Sci. (1995) 41(3):458–484LinkGoogle Scholar
  • Adner R., Levinthal D. Demand heterogeneity and technology evolution. Management Sci. (2001) 47(5):611–628LinkGoogle Scholar
  • Agarwal R., Bayus B. The market evolution and sales take off of product innovations. Management Sci. (2002) 48(8):1024–1041LinkGoogle Scholar
  • Agrawal A., Henderson R. Putting patents in context: Exploring knowledge transfer from MIT. Management Sci. (2002) 48(1):44–60LinkGoogle Scholar
  • Aldrich C., Morton T. Optimal funding paths for a class of risky R&D projects. Management Sci. (1975) 21(5):491–500LinkGoogle Scholar
  • Ali A., Kalwani M., Kovenock D. Selecting product development projects: Pioneering versus incremental innovation strategies. Management Sci. (1993) 39(3):255–274LinkGoogle Scholar
  • Allen F. Factors influencing market penetration. Management Sci. (1966) 13(1):22–41LinkGoogle Scholar
  • Almeida P., Kogut B. Localization of knowledge and the mobility of engineers in regional networks. Management Sci. (1999) 45(7):905–917LinkGoogle Scholar
  • Amit R., Glosten L., Muller E. Entepreneurial ability, venture investments, and risk sharing. Management Sci. (1990) 26(10):1232–1245Google Scholar
  • Aram J., Morgan C. The role of project team collaboration in R&D performance. Management Sci. (1976) 22(10):1127–1137LinkGoogle Scholar
  • Archibald T., Thomas L., Betts J., Johnston R. Should start-up companies be cautious? Inventory policies which maximise survival probabilities. Management Sci. (2002) 48(9):1161–1174LinkGoogle Scholar
  • Atuahene-Gima K., Evangelista F. Cross functional influence in new product development: An exploratory study of marketing R&D perspectives. Management Sci. (2000) 46(10):1269–1284LinkGoogle Scholar
  • Auster E. The relationship of industry evolution to patterns of technological linkages, joint ventures, and direct investment between the US and Japan. Management Sci. (1992) 38(6):778–792LinkGoogle Scholar
  • Azoulay P., Shane S. Entrepreneurs, contracts, and the failure of young firms. Management Sci. (2001) 47(3):337–358LinkGoogle Scholar
  • Baker N., Freeland J. Structuring information flow to enhance innovation. Management Sci. (1972) 19(1):105–116LinkGoogle Scholar
  • Baker N., Freeland J. Recent advances in R&D benefit measurement and project selection methods. Management Sci. (1975) 21(10, Application Series):1164–1175LinkGoogle Scholar
  • Baker N., Souder W., Shumway C., Maher P., Rubenstein A. A budget allocation model for large hierarchical R&D organizations. Management Sci. (1976) 23(1):59–70LinkGoogle Scholar
  • Balakrishnan P., Jacob V. Genetic algorithms for product design. Management Sci. (1996) 42(8):1105–1117LinkGoogle Scholar
  • Bard J. Parallel funding of R&D tasks with probabilistic outcomes. Management Sci. (1985) 31(7):814–828LinkGoogle Scholar
  • Barker V., Mueller G. CEO characteristics and firm R&D spending. Management Sci. (2002) 48(6):782–801LinkGoogle Scholar
  • Barr J., Knight K. Technological change and learning in the computer industry. Management Sci. (1968) 14(11):661–661LinkGoogle Scholar
  • Bass F. New product growth for model consumer durables. Management Sci. (1969) 15(5):215–227LinkGoogle Scholar
  • Bayus B. High-definition television: Assessing demand forecasts for a next generation consumer durable. Management Sci. (1993) 39(11):1319–1333LinkGoogle Scholar
  • Bayus B. An analysis of product lifetimes in a technologically dynamic industry. Management Sci. (1998) 44(6):763–775LinkGoogle Scholar
  • Bernhardt I., Mackenzie K. Some problems in using diffusion models for new products. Management Sci. (1972) 19(2, Application Series):187–200LinkGoogle Scholar
  • Bhattacharya S., Krishnan V., Mahajan V. Managing new product definition in highly dynamic environments. Management Sci. (1998) 44:S50–S64LinkGoogle Scholar
  • Bhoovaraghavan S., Vasudevan A., Chandran R. Resolving the process vs. product innovation dilemma: A consumer choice theoretic approach. Management Sci. (1996) 42(2):232–246LinkGoogle Scholar
  • Blanning R. Variable base budgeting for R&D. Management Sci. (1981) 27(5):547–558LinkGoogle Scholar
  • Bollen N. Real options and product life cycles. Management Sci. (1999) 45(5):670–684LinkGoogle Scholar
  • Brockoff K. R&D cooperation between firms—A perceived transaction cost perspective. Management Sci. (1992) 38(4):514–524LinkGoogle Scholar
  • Brown J., Utterback J. Uncertainty and technical communication patterns. Management Sci. (1985) 31(3):301–311LinkGoogle Scholar
  • Burchill G., Fine C. Time versus market orientation in product concept development: Empirically-based theory generation. Management Sci. (1997) 43(4, “Frontier Research in Manufacturing and Logistics”):465–478LinkGoogle Scholar
  • Burgelman R. Corporate entrepreneurship and strategic management: Insights from a process study. Management Sci. (1983) 29(12):1349–1364LinkGoogle Scholar
  • Burgeois J., Eisenhardt K. Strategic decision processes in high velocity environments: Four cases in the microcomputer industry. Management Sci. (1988) 34(7):816–835LinkGoogle Scholar
  • Capon N., Farley J., Lehmann D., Hulbert J. Profiles of product innovators among large U.S. manufacturers. Management Sci. (1992) 38(2):157–169LinkGoogle Scholar
  • Chatterjee R., Eliashberg J. The innovation diffusion process in a heterogeneous population: A micromodeling approach. Management Sci. (1990) 36(9):1057–1079LinkGoogle Scholar
  • Chen C. Design for the environment: A quality-based model for green product development. Management Sci. (2001) 47(2):250–263LinkGoogle Scholar
  • Childs P., Triantis A. Dynamic R&D investment policies. Management Sci. (1999) 45(10):1359–1377LinkGoogle Scholar
  • Christiansen C., Suarez F., Utterback J. Strategies for survival in fast-changing industries. Management Sci. (1998) 44(12):S207–S220LinkGoogle Scholar
  • Clark K. Project scope and project performance–The effect of parts strategy and supplier involvement on product development. Management Sci. (1989) 35(10):1247–1263LinkGoogle Scholar
  • Cohen M., Eliashberg J., Ho T. New product development: The performance and time-to-market tradeoff. Management Sci. (1996) 42(2):173–186LinkGoogle Scholar
  • Cohen W., evinthal D. Fortune favors the prepared firm. Management Sci. (1994) 40(2):227–251LinkGoogle Scholar
  • Cohen W., Nelson R., Walsh J. Links and impacts: The influence of public research on industrial R&D. Management Sci. (2002) 48(1):1–23LinkGoogle Scholar
  • Colyvas J., Crow M., Gelijns A., Mazzoleni R., Nelson R., Rosenberg N., Sampat B. How do university inventions get into practice? Management Sci. (2002) 48(1):61–72LinkGoogle Scholar
  • Conner K., Rumelt R. Software piracy: An analysis of protection strategies. Management Sci. (1991) 37(2):125–139LinkGoogle Scholar
  • Cummings R., Morris G., Paik I. Policy analyses for an infant technology: Hot dry rock geothermal resources. Management Sci. (1981) 27(5):559–570LinkGoogle Scholar
  • Cusumano M., Kemerer C. A quantitative analysis of U.S. and Japanese practice and performance in software development. Management Sci. (1990) 36(11):1384–1406LinkGoogle Scholar
  • Dahan E., Mendelson H. An extreme value model of concept testing. Management Sci. (2001) 47(1):102–116LinkGoogle Scholar
  • Dailey R. The role of team and task characteristics in R&D team collaborative problem solving and productivity. Management Sci. (1978) 24(15):1579–1588LinkGoogle Scholar
  • Damanpour F. Organizational complexity and innovation: Developing and testing multiple contingency models. Management Sci. (1996) 42(5):693–716LinkGoogle Scholar
  • Datar S., Jordan C., Kekre S., Rajiv S., Srinivasan K. New product development structures and time-to-market. Management Sci. (1997) 43(4,“Frontier Research in Manufacturing and Logistics”):452–464LinkGoogle Scholar
  • Davis F., Bagozzi R., Warshaw P. User acceptance of computer technology: A comparison of two theoretical models. Management Sci. (1989) 35(8):982–1003LinkGoogle Scholar
  • Dean B. Allocation of research and development resources in US and Israel industry. Management Sci. (1964) 11(1):94–104LinkGoogle Scholar
  • DeCanio S., Dibble C., Amir-Atefi K. The importance of organizational structure for the adoption of innovations. Management Sci. (2000) 46(10):1285–1299LinkGoogle Scholar
  • Desai P., Kekre S., Radhakrishnan S., Srinivasan K. Product differentiation and commonality in design: Balancing revenue and cost drivers. Management Sci. (2001) 47(1):37–51LinkGoogle Scholar
  • Dewar R., Dutton J. The adoption of radical and incremental innovations—An empirical analysis. Management Sci. (1986) 32(11):1422–1433LinkGoogle Scholar
  • Dillon W., Calantone R., Worthing P. The new product problem: An approach for investigating product failures. Management Sci. (1979) 25(12):1184–1196LinkGoogle Scholar
  • Ding M., Eliashberg J. Structuring the new product development pipeline. Management Sci. (2002) 48(3):343–363LinkGoogle Scholar
  • Dodson J., Muller E. Models of new product diffusion through advertising and word of mouth. Management Sci. (1978) 24(15):1568–1578LinkGoogle Scholar
  • Dowling M., McGee J. Business and technology strategies and new venture performance: A study of the telecommunications equipment industry. Management Sci. (1994) 40(12):1663–1667LinkGoogle Scholar
  • Ebadi Y., Dilts D. The relation between research and development project performance and technical communication in developing country Afghanistan. Management Sci. (1986) 32(7):822–830LinkGoogle Scholar
  • Ebadi Y., Utterback J. The effects of communication on technological innovation. Management Sci. (1984) 30(5):572–585LinkGoogle Scholar
  • Erickson G., Jacobson R. Gaining comparative advantage through discretionary expenditures: The returns to R&D and advertising. Management Sci. (1992) 38(9):1264–1279LinkGoogle Scholar
  • Ettlie J. Manpower flows and the innovation process. Management Sci. (1980) 26(11):1086–1095LinkGoogle Scholar
  • Ettlie J. Product-process development integration in manufacturing. Management Sci. (1995) 41(7):1224–1237LinkGoogle Scholar
  • Ettlie J., Vellenga D. The adoption time period for some transportation innovations. Management Sci. (1979) 25(5):429–443LinkGoogle Scholar
  • Ettlie J., Bridges W., O'Keefe R. Organizational strategy and structural differences for radical versus incremental innovation. Management Sci. (1984) 30(6):682–695LinkGoogle Scholar
  • Feldman M., Feller I., Bercovitz J., Burton R. Equity and technology transfer strategies of American research universities. Management Sci. (2002) 48(1):105–121LinkGoogle Scholar
  • Feller I. Managerial response to technological innovation in public sector organizations. Management Sci. (1980) 26(10):1021–1030LinkGoogle Scholar
  • Fisher M., Ramdas K., Ulrich K. Component sharing in the management of product variety: A study of automotive braking systems. Management Sci. (1999) 45(3):297–315LinkGoogle Scholar
  • Fox G., Baker N. Project selection decision making linked to a dynamic environment. Management Sci. (1985) 31(10):1272–1285LinkGoogle Scholar
  • Fox G., Baker N., Bryant J. Economic models for R&D project selection in the presence of project interactions. Management Sci. (1984) 30(7):890–902LinkGoogle Scholar
  • Gaver D., Srinivasan V. Allocating resources between research and development: A macro analysis. Management Sci. (1972) 18(9):492–501LinkGoogle Scholar
  • Gerstenfeld A., Berger P. An analysis of utilization differences for scientific and technical information. Management Sci. (1980) 26(2):165–179LinkGoogle Scholar
  • Gerwin D., Barrowman N. An evaluation of research on integrated product development. Management Sci. (2002) 48(7):938–953LinkGoogle Scholar
  • Geurard J., Bean A., Andrews S. R&D management and corporate financial policy. Management Sci. (1987) 33(11):1419–1427LinkGoogle Scholar
  • Gittleman M., Kogut B. Does good science lead to valuable knowledge? Biotechnology firms and the evolutionary logic of citation patterns. Management Sci. (2003) 49(4):366–382LinkGoogle Scholar
  • Gjerde K., Slotnick S., Sobel M. New product innovation with multiple features and technology constraints. Management ci. (2002) 48(10):1268–1284Google Scholar
  • Glismann H., Horn E. Comparative invention performance of major industrial companies: Patterns and explanations. Management Sci. (1988) 34(10):169–1187LinkGoogle Scholar
  • Gold B. Economic effects of technological innovations. Management Sci. (1964) 11(1):105–134LinkGoogle Scholar
  • Goldenberg J., Lehmann D., Mazursky D. The idea itself and the circumstances of its emergence as predictors of new product success. Management Sci. (2001) 47(1):69–84LinkGoogle Scholar
  • Grabowski H., Vernon J. A new look at the returns and risks to pharmaceutical R&D. Management Sci. (1990) 36(7):804–821LinkGoogle Scholar
  • Granot D., Zuckerman D. Optimal sequencing and resource allocation in research and development projects. Management Sci. (1991) 37(2):140–156LinkGoogle Scholar
  • Griffin A., Hauser J. Patterns of communication among marketing, engineering andmanufacturing—A comparison between two new product teams. Management Sci. (1992) 38(3):360–373LinkGoogle Scholar
  • Gruber W., Niles J. The science-technology utilization relationship in management. Management Sci. (1975) 21(8):956–963LinkGoogle Scholar
  • Ha A., Porteus E. Optimal timing of reviews in concurrent design for manufacturability. Management Sci. (1995) 41(9):1431–1447LinkGoogle Scholar
  • Haines G. A theory of market behavior after innovation. Management Sci. (1964) 10(4):634–658LinkGoogle Scholar
  • Hakansson N. Optimal entrepreneurial decisions in a completely stochastic environment. Management Sci. (1971) 17(7):427–449LinkGoogle Scholar
  • Hambrick D., MacMillan I., Barbosa R. Business unit strategy and changes in the product R&D budget. Management Sci. (1983) 29(7):757–769LinkGoogle Scholar
  • Harhoff D. Strategic spillovers and incentives for research and development. Management Sci. (1996) 42(6):907–925LinkGoogle Scholar
  • Harter D., Krishnan M., Slaughter S. Effects of process maturity on quality, cycle time, and effort in software product development. Management Sci. (2000) 46(4):451–466LinkGoogle Scholar
  • Hartmann F., Moglewer S. Allocation of resources to research proposals. Management Sci. (1967) 14(1):85–110LinkGoogle Scholar
  • Hatch N., Mowery D. Process innovation and learning by doing in semiconductor manufacturing. Management Sci. (1998) 44(11):1461–1477LinkGoogle Scholar
  • Hauser J. Research, development, and engineering metrics. Management Sci. (1998) 44(12):1670–1689LinkGoogle Scholar
  • Heeler R., Hustad T. Problems in predicting new product growth for consumer durables. Management Sci. (1980) 26(10):1007–1020LinkGoogle Scholar
  • Helfat C. Evolutionary trajectories in petroleum firm R&D. Management Sci. (1994) 40(12):1720–1747LinkGoogle Scholar
  • Hetzner W., Tornatzky L., Klein K. Manufacturing technology in the 1980s: A survey of Federal programs and practices. Management Sci. (1983) 29(8):951–961LinkGoogle Scholar
  • Holt H., Ferber R. The psychological transition from management scientist to manager. Management Sci. (1964) 10(3):409–420LinkGoogle Scholar
  • Hopp W. A sequential model of R&D investment over an unbounded time horizon. Management Sci. (1987) 33(4):500–508LinkGoogle Scholar
  • Horowitz I. Some aspects of the effects of the regional distribution of scientific talent on regional economic activity. Management Sci. (1966) 13(3):217–232LinkGoogle Scholar
  • Horwitch M., Thietart R. The effect of business interdependencies on product R&D-intensive business performance. Management Sci. (1987) 33(2):178–197LinkGoogle Scholar
  • Iansiti M. How the incumbent can win: Managing technological transitions in the semiconductor industry. Management Sci. (2000) 46(2):169–185LinkGoogle Scholar
  • Jensen R. Information cost and innovation adoption policies. Management Sci. (1988) 34(2):230–239LinkGoogle Scholar
  • Joglekar P., Hamburg M. An evaluation of federal policy instruments to stimulate basic research in industry. Management Sci. (1983) 29(9):997–1015LinkGoogle Scholar
  • Joglekar P., Hamburg M. A homogenous industry model of resource allocation to basic research and its policy implications. Management Sci. (1986) 32(2):225–236LinkGoogle Scholar
  • Joglekar P., Hamburg M. Industry concentration and allocation of resources to basic research. Management Sci. (1989) 35(2):208–225LinkGoogle Scholar
  • Joglekar N., Yassine A., Eppinger S., Whitney D. Performance of coupled product development activities with a deadline. Management Sci. (2001) 47(12):1605–1620LinkGoogle Scholar
  • Kalish S. A new product adoption model with price, advertising, and uncertainty. Management Sci. (1985) 31(12):1569–1585LinkGoogle Scholar
  • Kalish S., Lilien G. A market entry timing model for new technologies. Management Sci. (1986) 32(2):194–205LinkGoogle Scholar
  • Kazanjian R., Drazin R. An empirical test of a stage of growth progression model. Management Sci. (1989) 35(12):1489–1503LinkGoogle Scholar
  • Keeley R., Roure J. Management, strategy, and industry structure as influences on the success of new firms: A structural model. Management Sci. (1990) 36(10):1256–1267LinkGoogle Scholar
  • Khan A., Manopichetwattana V. Innovative and noninnovative small firms: Types and characteristics. Management Sci. (1989) 35(5):597–606LinkGoogle Scholar
  • Khanna T., Iansiti M. Firm asymmetries and sequential R&D: Theory and evidence from the mainframe computer industry. Management Sci. (1997) 43(4):405–421LinkGoogle Scholar
  • Kim K., Chhajed D. Product design with multiple quality-type attributes. Management Sci. (2002) 48(11):1502–1511LinkGoogle Scholar
  • Kim L., Kim Y. Innovation in a newly industrializing country: A multiple discriminant analysis. Management Sci. (1985) 31(3):312–322LinkGoogle Scholar
  • Kim L., Utterback J. The evolution of organizational structure and technology in a developing country. Management Sci. (1983) 29(10):1185–1197LinkGoogle Scholar
  • Kohli R., Krishnamurti R. A heuristic approach to product design. Management Sci. (1987) 33(12):1523–1533LinkGoogle Scholar
  • Krishnan V., Bhattacharya S. Technology selection and commitment in new product development: The role of uncertainty and design flexibility. Management Sci. (2002) 48(3):313–327LinkGoogle Scholar
  • Krishnan V., Gupta S. Appropriateness and impact of platform-based product development. Management Sci. (2001) 47(1):52–68LinkGoogle Scholar
  • Krishnan V., Ulrich K. Product development decisions: A review of the literature. Management Sci. (2001) 47(1):1–21LinkGoogle Scholar
  • Krishnan V., Eppinger S., Whitney D. A model-based framework to overlap product development activities. Management Sci. (1997) 43:437–451LinkGoogle Scholar
  • Landis F., Svestka J. The demand for engineers'Projections through 1987. Management Sci. (1983) 29(4):455–464LinkGoogle Scholar
  • Lee D., Allen T. Integrating new technical staff: Implications for acquiring new technology. Management Sci. (1982) 28(12):1405–1420LinkGoogle Scholar
  • Lee J. Innovation and strategic divergence: An empirical study of the U.S. pharmaceutical industry from 1920 to 1960. Management Sci. (2003) 49(2):143–159LinkGoogle Scholar
  • Lee T. A nonsequential R&D search model. Management Sci. (1982) 28(8):900–909LinkGoogle Scholar
  • Lee T. On the reswitching and convergence properties of research and development rivalry. Management Sci. (1984) 30(2):186–197LinkGoogle Scholar
  • Lee T. On the joint decisions of R&D and technology adoption. Management Sci. (1985) 31(8):959–969LinkGoogle Scholar
  • Lefebvre L., Mason R., Lefebvre E. Technology policy and its organizational impacts. Management Sci. (1997) 43(6):856–878LinkGoogle Scholar
  • Leonard-Barton D., Deschamps I. Managerial influence in the implementation of new technology. Management Sci. (1988) 34(10):1252–1265LinkGoogle Scholar
  • Liberatore M., Stylianou A. Expert support systems for new product development decision making: A modeling framework and applications. Management Sci. (1995) 41(8):1296–1316LinkGoogle Scholar
  • Libik G. The economic assessment of research and development. Management Sci. (1969) 16(1):33–66LinkGoogle Scholar
  • Lilien G., Morrison P., Searls K., Sonnack M., Von Hippel E. Performance assessment of the lead user idea-generation process for new product development. Management Sci. (2002) 48(8):1042–1059LinkGoogle Scholar
  • Lippman S., McCardle K. Does cheaper, faster or better imply sooner in the timing of innovation decisions. Management Sci. (1987) 33(8):1058–1064LinkGoogle Scholar
  • Loch C., Huberman B. A punctuated equilibrium model of technology diffusion. Management Sci. (1999) 45(2):160–177LinkGoogle Scholar
  • Lockett A., Gear A. Programme selection in research and development. Management Sci. (1972) 18(10):B575–B590LinkGoogle Scholar
  • Lockett A., Gear A. Representation and analysis of multistage problems in R&D. Management Sci. (1973) 19(8):947–960LinkGoogle Scholar
  • Lucas R. Optimal management of a research and development project. Management Sci. (1971) 17(11):679–697LinkGoogle Scholar
  • MacCormack A., Verganti R., Iansiti M. Developing products on Internet time: The anatomy of a flexible product development process. Management Sci. (2001) 47(1):133–150LinkGoogle Scholar
  • Mahajan V., Petereson R. Innovation diffusion in a dynamic potential adopter population. Management Sci. (1978) 24(15):1589–1597LinkGoogle Scholar
  • Mahajan V., Muller E., Kerin R. Introduction strategy for new products with positive and negative word of mouth. Management Sci. (1984) 30(12):1389–1404LinkGoogle Scholar
  • Maher M., Rubenstein A. Factors affecting adoption of a quantitative method for R&D project selection. Management Sci. (1974) 21(2, Application Series):119–129LinkGoogle Scholar
  • Mamer J., McCardle K. Uncertainty, competition, and the adoption of new technology. Management Sci. (1987) 33(2):161–177LinkGoogle Scholar
  • Mandakovic T., Souder W. An interactive decomposable heuristic for project selection. Management Sci. (1985) 31(10):1257–1271LinkGoogle Scholar
  • Mansfield E. Patents and innovation: An empirical study. Management Sci. (1986) 32(2):173–181LinkGoogle Scholar
  • Mansfield E. Price indices for R and D inputs, 1969—198. Management Sci. (1987) 33(1):124–129LinkGoogle Scholar
  • Mansfield E. The speed and cost of industrial innovation in Japan and the United States: External vs. internal technology. Management Sci. (1988) 34(10):1157–1168LinkGoogle Scholar
  • Mansfield E. The diffusion of flexible manufacturing systems in Japan, Europe and the United States. Management Sci. (1993) 39(2):149–159LinkGoogle Scholar
  • Mansfield E., Switzer L. Effects of federal support on company financed R and D: The case of energy. Management Sci. (1984) 30(5):562–571LinkGoogle Scholar
  • Martin M., Ackoff R. The dissemination and use of recorded scientific information. Management Sci. (1963) 9(2):322LinkGoogle Scholar
  • McCardle K. Information acquisition and the adoption of new technology. Management Sci. (1985) 31(11):1372–1389LinkGoogle Scholar
  • McGrath R., Tsai M., Venkataraman S., MacMillan I. Innovation, competitive advantage and rent: A model and test. Management Sci. (1996) 42(3):389–403LinkGoogle Scholar
  • Meade N., Islam T. Technological forecasting'Model selection, model stability and combining models. Management Sci. (1998) 44(8):1115–1130LinkGoogle Scholar
  • Meyer M., Roberts E. New product strategy in small technology-based firms: A pilot study. Management Sci. (1986) 32(7):806–821LinkGoogle Scholar
  • Miller D. The correlates of entrepreneurship in three types of firms. Management Sci. (1983) 29(7):770–791LinkGoogle Scholar
  • Miller D., Toulouse J. Chief executive personality and corporate strategy and structure in small firms. Management Sci. (1986) 32(11):1389–1409LinkGoogle Scholar
  • Moenaert R., Souder W. Context and antecedents of information utility at the R&D/marketing interface. Management Sci. (1996) 42(11):1592–1610LinkGoogle Scholar
  • Moore J., Baker N. Computational analysis of scoring models for R and D project selection. Management Sci. (1969) 16(4, Application Series):B212–B232LinkGoogle Scholar
  • Moore L., Taylor B. Multiteam, multiproject research and development planning with Gert. Management Sci. (1977) 24(4):401–410LinkGoogle Scholar
  • Moorthy K., Png I. Market segmentation, cannibalization, and the timing of product introductions. Management Sci. (1992) 38(3):345–359LinkGoogle Scholar
  • Morrison P., Roberts J., Von Hippel E. Determinants of user innovation and innovation sharing in a local market. Management Sci. (2000) 46(12):1513–1527LinkGoogle Scholar
  • Moskowitz H. An experimental investigation of decision making in a simulated research and development environment. Management Sci. (1973) 19(6):676–687LinkGoogle Scholar
  • Mowery D., Sampat B., Ziedonis A. Learning to patent: Institutional experience, learning, and the characteristics of U.S. university patents after the Bayh-Dole Act, 1981–1992. Management Sci. (2002) 48(1):73–89LinkGoogle Scholar
  • Nair S. Modeling strategic investment decisions under sequential technological change. Management Sci. (1995) 41(2):282–297LinkGoogle Scholar
  • Natter M., Mild A., Feurstein M., Dorffner G., Taudes A. The effect of incentive schemes and organizational arrangements on the new product development process. Management Sci. (2001) 47(8):1029–1045LinkGoogle Scholar
  • Nerkar A. Old is gold? The value of temporal exploration in the creation of new knowledge. Management Sci. (2003) 49(2):211–229LinkGoogle Scholar
  • Nilakanta S., Scamell R. The effect of information sources and communication channels on the diffusion of innovation in a data base development environment. Management Sci. (1990) 36(1):24–40LinkGoogle Scholar
  • North D., Stengel D. Decision analysis of program choices in magnetic fusion energy development. Management Sci. (1982) 28(3):276–288LinkGoogle Scholar
  • Norton J., Bass F. A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Sci. (1987) 33(9):1069–1086LinkGoogle Scholar
  • Oliva T. Information and profitability estimates: Modeling the firm's decision to adopt a new technology. Management Sci. (1991) 37(5):607–623LinkGoogle Scholar
  • Oral M., Kettani O., Lang P. A methodology for collective evaluation and selection of industrial R&D projects. Management Sci. (1991) 37(7):871–885LinkGoogle Scholar
  • Oral M., Malouin J., Rahn J. Formulating technology policy and planning industrial R&D activities. Management Sci. (1981) 27(11):1294–1308LinkGoogle Scholar
  • Owen-Smith J., Riccaboni M., Pammolli F., Powell W. A comparison of U.S. and European university-industry relations in the life sciences. Management Sci. (2002) 48(1):24–43LinkGoogle Scholar
  • Park J. Dynamic patent races with risky choices. Management Sci. (1987) 33(12):1563–1571LinkGoogle Scholar
  • Pavitt K., Robson M., Townsend J. Technological accumulation, diversification and organization in UK companies, 1945–1983. Management Sci. (1989) 35(10):81–99LinkGoogle Scholar
  • Peterson C. Computational experience with variants of the Balas Algorithm applied to the selection of R&D projects. Management Sci. (1967) 13(9):736–750LinkGoogle Scholar
  • Pisano G., Bohmer R., Edmondson A. Organizational differences in rates of learning: Evidence from the adoption of minimally invasive cardiac surgery. Management Sci. (2001) 47(6):752–768LinkGoogle Scholar
  • Pyle E., Douglas B., Ebright G., Westlake W., Bender A. Scientific manpower allocation to new drug screening programs. Management Sci. (1973) 19(12, Application Series):1433–1443LinkGoogle Scholar
  • Randall T., Ulrich K. Product variety, supply chain structure, and firm performance: Analysis of the U.S. bicycle industry. Management Sci. (2001) 37(12):1588–1604LinkGoogle Scholar
  • Randles F. On the diffusion of computer terminals in an established engineering environment. Management Sci. (1983) 29(4):465–476LinkGoogle Scholar
  • Roberts E., Hauptman O. The financing threshold effect on success and failure of biomedical and pharmaceutical start-ups. Management Sci. (1987) 33(3):381–394LinkGoogle Scholar
  • Robinson B., Lakhani C. Dynamic price models for new-product planning. Management Sci. (1975) 20(6):921–935Google Scholar
  • Robinson W. Product innovation and start-up business market share performance. Management Sci. (1990) 36(10):1279–1289LinkGoogle Scholar
  • Roller L., Tombak M. Competition and investment in flexible technologies. Management Sci. (1993) 39(10):107–114LinkGoogle Scholar
  • Rubenstein A. Decision-making in large decentralized companies. Management Sci. (1964) 10(4):618–633LinkGoogle Scholar
  • Rubenstein A., Schroder H. Managerial differences in assessing probabilities of technical success for R&D projects. Management Sci. (1977) 24(2):137–148LinkGoogle Scholar
  • Schilling M., Vidal P., Ployhart R., Marangoni A. Learning by doing something: Variation, relatedness and the learning curve. Management Sci. (2003) 49(1):39–56LinkGoogle Scholar
  • Schmidt R. A stochastic optimization model to improve production planning and R&D resource allocation in biopharmaceutical production processes. Management Sci. (1996) 42(4):603–617LinkGoogle Scholar
  • Schwartz S., Vertinsky I. Multi-attribute investment decisions: A study of R&D project selection. Management Sci. (1977) 24(3):285–301LinkGoogle Scholar
  • Shane S. Technological opportunities and new firm creation. Management Sci. (2001a) 47(2):205–220LinkGoogle Scholar
  • Shane S. Technology regimes and new firm formation. Management Sci. (2001b) 47(9):1173–1190LinkGoogle Scholar
  • Shane S. Selling university technology: Patterns from MIT. Management Sci. (2002) 48(1):122–137LinkGoogle Scholar
  • Shane S., Cable D. Network ties, reputation, and the financing of new ventures. Management Sci. (2002) 48(3):364–381LinkGoogle Scholar
  • Shane S., Foo M. New firm survival: Institutional explanations for new franchisor mortality. Management Sci. (1999) 45(2):142–159LinkGoogle Scholar
  • Shane S., Stuart T. Organizational endowments and the performance of university start-ups. Management Sci. (2002) 48(1):154–170LinkGoogle Scholar
  • Shepherd D. Venture capitalists' assessment of new venture survival. Management Sci. (1999) 45(5):621–632LinkGoogle Scholar
  • Shocker A., Srinivas V. Consumer-based methodology for identification of new product ideas. Management Sci. (1974) 20(6):921LinkGoogle Scholar
  • Silverman B. Project appraisal methodology: A multidimensional R&D benefit/cost assessment tool. Management Sci. (1981) 27(7):802–821LinkGoogle Scholar
  • Silverman B. Project appraisal methodology: Market penetration elements. Management Sci. (1983) 29(2):210–224LinkGoogle Scholar
  • Silverman B. Technological resources and the direction of corporate diversification: Toward and integration of the resource-based view and transaction cost economics. Management Sci. (1999) 45(8):1109–1124LinkGoogle Scholar
  • Simon H. Technology and environment. Management Sci. (1973) 19(10):1110–1121LinkGoogle Scholar
  • Simon H., Sebastian K. Diffusion and advertising: The German telephone campaign. Management Sci. (1987) 33(4):451–466LinkGoogle Scholar
  • Sine W., Shane S., DiGregorio D. The halo effect and technology licensing: The influence of institutional prestige on the licensing of university inventions. Management Sci. (2003) 49(4):478–496LinkGoogle Scholar
  • Sinha D., Cusumano M. Complementary resources and cooperative research: A model of research joint ventures among competitors. Management Sci. (1991) 37(9):1091–1106LinkGoogle Scholar
  • Smith R., Eppinger S. Identifying the controlling features of engineering design iteration. Management Sci. (1997) 43(3):276–293LinkGoogle Scholar
  • Song M., Almeida P., Wu G. Learning-by-hiring: When is mobility more likely to facilitate interfirm knowledge transfer? Management Sci. (2003) 49(4):351–365LinkGoogle Scholar
  • Souder W. Analytical effectiveness of mathematical models for R&D project selection. Management Sci. (1973) 19(8):907–923LinkGoogle Scholar
  • Souder W. Analytical effectiveness of mathematical models for R&D project selection. Management Sci. (1973a) 19(8, Application Series):907–923LinkGoogle Scholar
  • Souder W. Utility and perceived acceptability of R&D project selection models. Management Sci. (1973b) 19(12, Application Series):1384–1394LinkGoogle Scholar
  • Souder W. Achieving organizational consensus with respect to R&D project selection criteria. Management Sci. (1975) 21(6, Application Series):669–681LinkGoogle Scholar
  • Souder W. Effectiveness of nominal and interacting group decision processes for integrating R&D and marketing. Management Sci. (1977) 23(6):595–605LinkGoogle Scholar
  • Szajna B. Empirical evaluation of the revised technology acceptance model. Management Sci. (1996) 42(1):85–92LinkGoogle Scholar
  • Tatikonda M., Montoya M. Integration operations and marketing perspectives of product innovation: The influence of organizational process factors and capabilities on development performance. Management Sci. (2001) 47(1):151–172LinkGoogle Scholar
  • Taylor B., Moore L. R&D project planning with Q-Gert network modeling and simulation. Management Sci. (1980) 26(1):44–59LinkGoogle Scholar
  • Taylor B., Moore L., Clayton E. R&D project selection and manpower allocation with integer nonlinear goal programming. Management Sci. (1982) 28(10):1149–1158LinkGoogle Scholar
  • Teece D. Time-cost tradeoffs: Elasticity estimates and determinants for international technology transfer projects. Management Sci. (1977) 23(8):830–837LinkGoogle Scholar
  • Teece D. The diffusion of an administrative innovation. Management Sci. (1980) 26(5):464–470LinkGoogle Scholar
  • Terwiesch C., Loch C. Measuring the effectiveness of overlapping development activities. Management Sci. (1999) 45(4):455–465LinkGoogle Scholar
  • Thietart R., Vivas R. An empirical investigation of success strategies for businesses along the product life cycle. Management Sci. (1984) 30(12):1405–1423LinkGoogle Scholar
  • Thomke S. Managing experimentation in the design of new products. Management Sci. (1998) 44(6):743–762LinkGoogle Scholar
  • Thomke S., Bell D. Sequential testing in product development. Management Sci. (2001) 47(2):308–323LinkGoogle Scholar
  • Thursby J., Thursby M. Who is selling the ivory tower? Sources of growth in university licensing. Management Sci. (2002) 48(1):90–104LinkGoogle Scholar
  • Truemper K., Dean B. The Oprad research and development management game. Management Sci. (1974) 20(6):999–1009LinkGoogle Scholar
  • Tushman M., Katz R. External communication and project performance: An investigation into the role of gatekeepers. Management Sci. (1980) 26(11):1071–1085LinkGoogle Scholar
  • Tyebjee T., Bruno A. A model of venture capitalist investment activity. Management Sci. (1984) 30(9):1051–1066LinkGoogle Scholar
  • Ulrich K., Ellison D. Hollistic customer requirements and the design-select decision. Management Sci. (1999) 45(5):641–658LinkGoogle Scholar
  • Ulrich K., Pearson S. Assessing the importance of design through product archeology. Management Sci. (1998) 44(3):352–369LinkGoogle Scholar
  • Ulrich K., Sartorius D., Pearson S., Jakiela M. Including the value of time in design-for-manufacturing decision making. Management Sci. (1993) 39(4):429–447LinkGoogle Scholar
  • Urban G., Von Hippel E. Lead user analyses for the development of new industrial products. Management Sci. (1988) 34(5):569–582LinkGoogle Scholar
  • Van de Ven A. Central problems in the management of innovation. Management Sci. (1986) 32(5):590–607LinkGoogle Scholar
  • Van den Bulte C., Moenaert R. The effects of R&D team colocation on communication patterns among R&D, marketing, and manufacturing. Management Sci. (1998) 44(11):S1–S18LinkGoogle Scholar
  • von Hippel E. Lead users: A source of novel product concepts. Management Sci. (1986) 32(7):791–805LinkGoogle Scholar
  • von Hippel E. “Sticky information” and the locus of problem solving: Implications for innovation. Management Sci. (1994) 40(4):429–439LinkGoogle Scholar
  • von Hippel E. Economics of product development by users: The impact of “sticky” local information. Management Sci. (1998) 44(5):629–644LinkGoogle Scholar
  • von Hippel E., Katz R. Shifting innovation to users via tool-kits. Management Sci. (2002) 48(7):821–833LinkGoogle Scholar
  • Weiss A., Birnbaum A. Technological infrastructure and the implementation of technological strategies. Management Sci. (1989) 35(8):1014–1026LinkGoogle Scholar
  • Weiss H. Some growth considerations of research and development and the national economy. Management Sci. (1965) 11(3):368–394LinkGoogle Scholar
  • Whang S. Contracting for software development. Management Sci. (1992) 38(3):307–324LinkGoogle Scholar
  • Winkofstky E., Baker N., Sweeney D. A decision process model of R&D resource allocation in hierarchical organizations. Management Sci. (1981) 27(3):268–283LinkGoogle Scholar
  • Wyckoff A., Tornatzky L. State level efforts to transfer manufacturing technology: A survey of programs and practices. Management Sci. (1988) 34(4):469–481LinkGoogle Scholar
  • Xie J., Song M., Stringfellow A. Interfunctional conflict, conflict resolution styles, and new product success: A four-culture comparison. Management Sci. (1998) 44(12):S192–S206LinkGoogle Scholar
  • Zajac E., Golden B., Shortell S. New organizational forms for enhancing innovation: The case of internal corporate joint ventures. Management Sci. (1991) 37(2):170–184LinkGoogle Scholar
  • Zenger T. Explaining organizational diseconomies of scale in R&D: Agency problems and the allocation of engineering talent, ideas, and effort by firm size. Management Sci. (1994) 40(6):708–729LinkGoogle Scholar
  • Zimmerman J. Decision models for individual scientists involved in basic research. Management Sci. (1977) 23(1):1109–1116LinkGoogle Scholar
  • Zirger B., Maidique M. A model of new product development—An empirical test. Management Sci. (1990) 36(7):867LinkGoogle Scholar
  • Zmud R. Diffusion of modern software practices'Influence of centralization and formalization. Management Sci. (1982) 28(12):1421LinkGoogle Scholar
  • Zucker L., Darby M., Armstrong J. Commercializing knowledge: University science, knowledge capture, and firm performance in biotechnology. Management Sci. (2002) 48(1):138–153LinkGoogle Scholar
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