Deadlines, Work Flows, Task Sorting, and Work Quality

We examine deadlines-induced behavior using large-scale, high frequency data on about 5 million U.S. patents and published applications. We motivate the study with a model of rational agents facing discontinuous incentives around deadline thresholds, without using time-inconsistent preferences invoked in behavioral economics models of deadline-related behavior. Consistent with our model predictions, we find notable clustering of more complex patent applications around potential deadlines at month-, quarter- and year-ends, along with a small to moderate decline in work quality around those periods.http://deepblue.lib.umich.edu/bitstream/2027.42/99757/1/1199_Sivadasan.pd

When to Signal? Contingencies for Career-Motivated Contributions in Online Collaboration Communities

Online collaboration communities are increasingly taking on new roles beyond knowledge creation and exchange, especially the role of a skill-signaling channel for career-motivated community members. This paper examines the contingency effects of job-market conditions for career-motivated knowledge contributions in online collaboration communities. From the data of individual-level activities in a computer programming-related online Q&A community (Stack Overflow), merged with job-market data for software developers, we find robust evidence of a positive association between community members’ career motivations and their knowledge contributions. More importantly, we find that this positive relationship is strengthened by job-market conditions: the number of vacancies in the job market, the expected salaries from these jobs, and the transparency in the flow of career-related information between the community and external recruiters. We contribute to the motivation literature in online collaboration communities by identifying and substantiating the role of contextual factors in mobilizing members’ career motivation. Our study thus offers novel insight into how career motivation can be effectively utilized to motivate contributors in these communities. Our findings also point to a possible paradigm change by characterizing online collaboration communities as emerging institutions for career motivation and skill signaling

When to Signal? The Contextual Conditions for Career-Motivated User Contributions in Online Collaboration Communities

This paper examines the contextual conditions for users’ career concern as a motivational driver of contributions in online collaboration communities. On the data of user-level activities from a computer programming-related online Q&A community (Stack Overflow), merged with job-market data for software-developer, we find robust evidence of a positive association between individual users’ career concern and their contributions. More important, we find that this positive relationship is further strengthened through the contextual conditions: the number of vacancies in the job market, the expected salaries from these jobs, and the transparency in the flow of career-related information within the community. We contribute to the literature on motivation in online collaboration communities. Our study thus offers insight into how career concern can be effectively utilized to motivate contributors in these communities. Our findings also foreshadow a possible paradigm change by characterizing online collaboration communities as institutions of career concern and skill signaling

The RAV1 transcription factor positively regulates leaf senescence in Arabidopsis

Leaf senescence is a developmentally programmed cell death process that constitutes the final step of leaf development and involves the extensive reprogramming of gene expression. Despite the importance of senescence in plants, the underlying regulatory mechanisms are not well understood. This study reports the isolation and functional analysis of RAV1, which encodes a RAV family transcription factor. Expression of RAV1 and its homologues is closely associated with leaf maturation and senescence. RAV1 mRNA increased at a later stage of leaf maturation and reached a maximal level early in senescence, but decreased again during late senescence. This profile indicates that RAV1 could play an important regulatory role in the early events of leaf senescence. Furthermore, constitutive and inducible overexpression of RAV1 caused premature leaf senescence. These data strongly suggest that RAV1 is sufficient to cause leaf senescence and it functions as a positive regulator in this process

The IPIN 2019 Indoor Localisation Competition—Description and Results

IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m 2 outdoors and and 6000 m 2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks

Soft but Strong: Software-Based Innovation, Product Market Competition, and Value Creation in the IT Hardware Industry

We study the impact of software-based innovation on the value of patented inventions, firms™ competitive position in the product market, and the market value of the firms in the U.S. information and technology (IT) hardware industry. Our analysis of ove

Firm age and innovation

We examine how firm age relates to innovtion quality, and how this relationship varies depending on the nature of technology. Using data on patents of COMPUSTAT firms, we find that firm age is negatively related to technical quality, and that this effect is greater in technologically active areas. The economic implication of this effect is substantial; each additional year reduces the impact of a 10% increase in R&D intensity on the firm's market value by over 3%. Copyright 2008 , Oxford University Press.

The Quest for Originality: A New Typology of Knowledge Search and Breakthrough Inventions

We re-examine firm exploration leading to breakthrough inventions by focusing on a new dimension of knowledge search: the search of originality. We conceptualize firm search types with two distinct dimensions⎯search target and search boundary⎯and propose contrasting effects of the search boundary in which firms search prior original knowledge on the propensities for firms to create path-breaking novelties and high-impact breakthroughs. In particular, we demonstrate that searching original knowledge and incorporating it into research and development makes local search outperform boundary-spanning search in generating high-impact breakthroughs. We argue that this advantage of local search arises from the originality that firms search and revitalize. We find robust support from the analysis of U.S. firm nanotechnology patents between 1980 and 2006. Our findings highlight the importance of searching original knowledge and the benefit of local search in creating breakthrough inventions, thereby suggesting a refinement of the conventional framework of knowledge search.clos

Soft but Strong: Software-Based Innovation and Product Differentiation in the IT Hardware Industry

It has been argued in recent years that software is a significant value-creating factor within the manufacturing sector, leading to an increased interest in understanding the mechanisms by which firms may benefit from software-based innovation. Empirical work in evaluating these mechanisms, however, remains underdeveloped. In this paper, we examine one such process through which software-based innovation may provide value for information technology hardware firms in the U.S. Specifically, we examine the influence of software patents on the extent to which firms are able to benefit from product differentiation in their product markets. Using data on over 380,000 patent grants for innovations filed by 730 public IT hardware firms over the time period 1996-2015, we find that greater levels of software-based innovation within the firm are associated with higher levels of product differentiation in product markets: increases in the intensity of software patents within the firm’s patent stock, which we refer to as software intensity, are associated with lower total similarity of product offerings, relative to those offered by rivals, as well as fewer effective competitors in the market. Furthermore, using a different dataset consisting of 23,000 new IT hardware product announcements, we show that firms with greater software intensity subsequently launch a higher number of new products. Moreover, these firms are more likely to launch products that are not only differentiated from those of rivals but also distinct from their own product lines. Our research contributes to the emerging literature on software-based innovation by substantiating an important mechanism through which software helps transform industry sectors, specifically through product differentiation