In Search of the Classics: A Study of the Impact of JPIM Papers from 1984 to 2003*

The Journal of Product Innovation Management (JPIM) was launched in 1984 and over its first two decades of existence evolved into the leading journal in the field of innovation and the management of technology. During these 20 years JPIM contributed to the field by publishing 488 academic papers. This paper is a follow‐up study to an earlier study that looked at how JPIM evolved in terms of knowledge stock and knowledge flows during the first two decades (published in JPIM, March 2007). That paper looked at what was published during the first 20 years, which sources were cited, and which journals cited JPIM papers. This study takes a closer look at the impact of JPIM on the field of innovation and the management of technology by identifying the most classic papers published in JPIM during its first two decades of existence. This study used multiple research methods to identify 64 candidate potential classics from the 488 papers published in the first 20 years of JPIM's existence, to analyze how they differ from the other 424 papers published in the journal, and to investigate authors' motivations for writing these papers. Finally, using survey responses from the Product Development and Management Association (PDMA) membership and other academics in innovation and new product development, the research then determines which 5 of the 64 candidate papers are considered to be the “most classic” papers published and the factors driving that determination. The findings show that classic papers are those presenting a “pioneering idea” in the field that creates buzz in both the academic and practitioner worlds. High numbers of citations are indeed the outcome of these endeavors, but being a classic requires more than having high numbers of citations. Authors of the true classics generally have worked hard to disseminate their research, usually to both academics and practitioners, perhaps also contributing to the network buzz created by their findings. While one of the five most classic papers represented the first investigation into a particular stream of research, the other four were culminations of a significant body of research, providing a distinct summary of known information on a topic at the time they were published and a clear road forward for future research on the topic. These bodies of knowledge have yet to be superseded by other culminating papers.     

Twenty Years of the Journal of Product Innovation Management: History, Participants, and Knowledge Stock and Flows

The Journal of Product Innovation Management (JPIM) serves as a marketplace for science‐based, innovative ideas that are produced and consumed by scholars and businesspeople. Now that JPIM has existed for 20 years, two intriguing questions emerge: (1) How has the journal evolved over time in terms of knowledge stock, that is, what are the characteristics of the growing stock of knowledge published by JPIM over the years; and (2) how has the journal evolved in knowledge flow, that is, how is JPIM influenced by other scientific publications and what is its impact on other journals? In terms of knowledge stock, over 35% of the articles published over the 20 years investigate processes and metrics for performance management. The next most frequently published area was strategy, planning, and decision making (20%), followed by customer and market research (17%). The dominant research method used was a cross‐sectional large‐sample survey, and the focus most usually is at the project level of the firm. The large majority of JPIM authors (60%) have a marketing background, with the remaining 40% representing numerous functional domains. Academics at all levels publish in JPIM, and though most authors hail from North America, the Dutch are a significant second group. JPIM was analyzed from a knowledge‐flow perspective by looking at the scientific sources used by JPIM authors to develop their ideas and articles. To this end a bibliometric analysis was performed by analyzing all references in articles published in JPIM. During 1984–2003 JPIM published 488 articles, containing 10,314 references to journals and 6,533 references to other sources. Some 20% of these references (2,020) were self‐references to JPIM articles. The remaining 8,294 journal references were to articles in 287 journals in the fields of management (25%), marketing (24%), and management of technology (14%). However, it should be pointed out that many domains were dominated by a limited number of journals. The second component of knowledge flow concerns the extent to which the ideas developed in JPIM are consumed by other authors. Again, bibliometric analysis was used to analyze data from the Social Sciences Citation Index (SSCI) about citations to JPIM in other journals. For the period 1984–2005, the SSCI registered 7,773 citations to JPIM in 2,067 articles published in 278 journals (including the 2,020 self‐citations in JPIM). The functional areas most frequently citing JPIM are management of technology (25%), marketing (15%), management (14%), and operations management and management science (9%). Again, several domains were found to be dominated by a limited number of journals. At the level of individual journals the analysis shows a growing impact of JPIM on management of technology journals. The knowledge‐flow analysis demonstrates how JPIM functions as a bridge between the knowledge from various domains and the body of knowledge on management of technology. It suggests a growing specialization of the field of technology innovation management, with JPIM being firmly entrenched as the acknowledged leading journal.     

Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole

We examine whether macroeconomic risk can explain momentum profits internationally. Neither an unconditional model based on the Chen, Roll, and Ross (1986) factors nor a conditional forecasting model based on lagged instruments provides any evidence that macroeconomic risk variables can explain momentum. In addition, momentum profits around the world are economically large and statistically reliable in both good and bad economic states. Further, these momentum profits reverse over 1‐ to 5‐year horizons, an action inconsistent with existing risk‐based explanations of momentum.     

Living with the Curse of Dimensionality: Closed-Loop Optimization in a Large-Scale Fisheries Simulation Model

Facilitated by remarkable increases in computational speed, simulation models are becoming more and more complex and are being increasingly used in applied economic analysis. However, computational limitations remain a major barrier to the study of dynamically optimal policies. We study the problem of carrying out dynamic optimization in conjunction with large simulation models and propose a method for working around the computational difficulties that arise in such problems. Our methods are applied to a model of the Gulf of Mexico's red snapper fishery to study the dynamically optimal total allowable catch.     

IMPACT OF CHILD QUALITY ON EARNINGS: THE PRODUCTIVITY-OF-SCHOOLING HYPOTHESIS

This paper investigates the relationship between average earnings, education (measured by years of schooling), and rates of return to education for major racial/ethnic groups in the United States. It considers the effect of including previously omitted "productivity-of-schooling" (also referred to here as "child quality") variables. An upward-sloping average education, rate-of-return-to-education profile exists for His-panics, blacks, and whites. Productivity-of-schooling (i.e., child quality) measures– including family size, family composition, ability, and parental inputs–significantly affect earnings and rates of return to education. The results here are consistent with Chiswick (1988). Conditions within the family play a larger role in determining the value of education for minority males than for white males, a conclusion of obvious interest to policymakers.     

Estimating the economic value of big game habitat production from prescribed fire using a time series approach

This paper demonstrates a time-series production technique to quantify the deer harvest and deer hunting benefits of controlled burns or prescribed fire. The time series regression model showed a statistically significant and positive effect of prescribed fire on deer harvest. The net economic value of the resulting additional deer hunting benefit was estimated using the Contingent Valuation Method at $ 98 per additional deer harvested. The initial deer hunting benefits of an additional 1,000 acres of prescribed burning are between $ 2,674 and $ 3,128 or $ 2-3 per acre. The costs of prescribed burning greatly exceed these benefits, suggesting that deer hunting benefits represent only a small part of the multiple use benefits of prescribed fire.