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1.
《Research Policy》2022,51(9):104348
Despite extensive though mostly independent literatures on Crowdfunding and regional entrepreneurship, there exists little work that examines how Crowdfunding influences the rate and type of new venture formation in a region, what types of regions are more likely to experience Crowdfunding activity, and what types of regions are more likely to experience additional firm starts following Crowdfunding activity. We argue that Crowdfunding increases high tech and high growth regional firm starts by increasing crucial early-stage funding, providing the opportunity to signal success and legitimacy, facilitating access to entrepreneurial human capital, supporting inexperienced entrepreneurs with education and advice, and providing inexpensive market feedback. Instrumental variable regressions illustrate how Kickstarter campaigns precede an increase in high technology and growth in Crunchbase listings and a weak decrease in more conventional and local business registrations. While more per capita crowdfunding occurs in large cities relative to smaller cities, college towns, and poor regions with weak human capital, the impact per campaign appears greater in the poorer regions. 相似文献
2.
《Research Policy》2021,50(10):104345
Reward-based crowdfunding has evolved as a significant alternative source of financing for new product development over the past years. Unlike traditional investors, reward-based crowdfunding investors financing the production process are essentially consumers pre-ordering the product. Since financing takes place prior to production, this context is prone to information asymmetries. Consumers financing new product development have incomplete information regarding the quality of the product they have pre-ordered and the reward they will receive for their early support. We draw on information economics to examine how signals, such as price commitment, discount, and reward classes, play a role in conveying information about product quality and the financial reward backers receive for pre-ordering the product. Our empirical analysis covers detailed hand-collected information on a random sample of 1835 Kickstarter campaigns. We find that signaling information regarding the future retail price enhances campaign performance. Moreover, when the different signals originate from the same source and overlap in the information they convey, the more informative signals partially offset the effect of the less informative signals. 相似文献
3.
Ecommerce is developing into a fast-growing channel for new business, so a strong presence in this domain could prove essential to the success of numerous commercial organizations. However, there is little research examining ecommerce at the individual customer level, particularly on the success of everyday ecommerce searches. This is critical for the continued success of online commerce. The purpose of this research is to evaluate the effectiveness of search engines in the retrieval of relevant ecommerce links. The study examines the effectiveness of five different types of search engines in response to ecommerce queries by comparing the engines’ quality of ecommerce links using topical relevancy ratings. This research employs 100 ecommerce queries, five major search engines, and more than 3540 Web links. The findings indicate that links retrieved using an ecommerce search engine are significantly better than those obtained from most other engines types but do not significantly differ from links obtained from a Web directory service. We discuss the implications for Web system design and ecommerce marketing campaigns. 相似文献
4.
《International Journal of Information Management》2017,37(6):664-672
This paper conducts a comparative literature survey of Open Government Data (OGD) and Freedom of Information (FOI), with a view to tracking the central themes in the two civil society campaigns. With seeming similarities and a growing popularity in research, the major themes framing research on the two movements have not clearly emerged. Topic modelling, text mining and document analysis methods are used to extract the themes as well as key named entities. The topics are subsequently labeled and with expert guidance, their semantic meaning are provided. The results indicate that the major theme in FOI research borders on issues relating to disclosure, publishing, access and cost of requests. On the other hand, themes in OGD research have largely centered on technology and related concepts. The approach also helped in determining key similarities and differences in the two campaigns as reported in research. 相似文献
5.
《Research Policy》2019,48(9):103788
The domain of transition studies has been drawing more and more scholarly attention and, as a result, its body of knowledge is rapidly growing. This raises new challenges as well as opportunities, not the least regarding the methodological and philosophical underpinnings of research in this domain. In this respect, transition research, as a relatively young field of inquiry, has been little concerned with methodological investigation and reflection. We propose a framework that enables this reflection: the so-called ‘transition research onion’. Subsequently, we utilize this framework to systematically assess 217 peer-reviewed papers in the field of transition studies, to distill key methodological patterns and trends of the field. The findings suggest that the methodology of transition studies, in terms of depth and diversity, is underdeveloped. These insights serve to guide future research on transition processes. 相似文献
6.
《Information processing & management》2020,57(6):102356
Diversification of web search results aims to promote documents with diverse content (i.e., covering different aspects of a query) to the top-ranked positions, to satisfy more users, enhance fairness and reduce bias. In this work, we focus on the explicit diversification methods, which assume that the query aspects are known at the diversification time, and leverage supervised learning methods to improve their performance in three different frameworks with different features and goals. First, in the LTRDiv framework, we focus on applying typical learning to rank (LTR) algorithms to obtain a ranking where each top-ranked document covers as many aspects as possible. We argue that such rankings optimize various diversification metrics (under certain assumptions), and hence, are likely to achieve diversity in practice. Second, in the AspectRanker framework, we apply LTR for ranking the aspects of a query with the goal of more accurately setting the aspect importance values for diversification. As features, we exploit several pre- and post-retrieval query performance predictors (QPPs) to estimate how well a given aspect is covered among the candidate documents. Finally, in the LmDiv framework, we cast the diversification problem into an alternative fusion task, namely, the supervised merging of rankings per query aspect. We again use QPPs computed over the candidate set for each aspect, and optimize an objective function that is tailored for the diversification goal. We conduct thorough comparative experiments using both the basic systems (based on the well-known BM25 matching function) and the best-performing systems (with more sophisticated retrieval methods) from previous TREC campaigns. Our findings reveal that the proposed frameworks, especially AspectRanker and LmDiv, outperform both non-diversified rankings and two strong diversification baselines (i.e., xQuAD and its variant) in terms of various effectiveness metrics. 相似文献
7.
《Information processing & management》2005,41(5):1101-1119
In this article we investigate the expressions of collaborative activities within information seeking and retrieval processes (IS&R). Generally, information seeking and retrieval is regarded as an individual and isolated process in IR research. We assume that an IS&R situation is not merely an individual effort, but inherently involves various collaborative activities. We present empirical results from a real-life and information-intensive setting within the patent domain, showing that the patent task performance process involves highly collaborative aspects throughout the stages of the information seeking and retrieval process. Furthermore, we show that these activities may be categorised and related to different stages in an information seeking and retrieval process. Therefore, the assumption that information retrieval performance is purely individual needs to be reconsidered. Finally, we also propose a refined IR framework involving collaborative aspects. 相似文献
8.
While basic research in the natural sciences can generate discoveries with great promise to improve human health, advancing these discoveries from bench to bedside through clinical trials is a major challenge requiring individuals to possess a specific set of skills and prior experience. The ability to translate—especially between basic and applied research—and to bridge these two areas is likely to be key. We call skills that encompass both basic and applied research horizontal skills; experience in diverse fields, such as both cancer and diabetes, is termed vertical experience. We develop a framework to define and differentiate between horizontal skills and vertical experience and discuss how they separately and jointly impact the success of turning discoveries into products. Drawing on data from 3,889 clinical trials, we find that both qualities matter for publicly funded and industry-funded trials but with nuanced differences. Our results suggest that the likelihood of success increases when the investigators who lead trials have a balanced set of skills in both basic and applied science independent of the funding source. In both types of trials, investigators who possess vertical experience were found to reduce the success probability of clinical trials. However, investigators in industry-funded trials are able to alleviate this effect if they possess basic research skills or horizontal skills. Our paper uncovers context specificities in terms of how horizontal skills and experience in multiple fields, as well as their interplay, relate to translational success. 相似文献
9.
This study examines how inventors’ breadth and depth of expertise influence innovation in 3M, a company renowned for sustained innovation for over a century. While prior research tends to examine a single indicator – the technical success achieved by the inventor – our study differentiates between three indicators of a successful inventor: (1) the number of inventions generated; (2) the extent to which the inventor has a significant impact in his or her technical domain; and (3) the inventor's career success, in terms of the commercial value they have brought by converting their inventions into products that generate sales for commercial organizations. We found that breadth of inventor expertise relates to the generation of many inventions, but not necessarily to those that are technically influential. Depth of inventor expertise enables individuals to generate technically influential inventions, as measured by patents granted. However, both breadth and depth of expertise are required for innovators to be deemed highly valuable, based on their records of effectively converting inventions into commercially successful products. Our study extends prior research on innovation in two ways. We provide a comprehensive view of how inventors’ expertise influences innovation and also show how inventors with different expertise profiles can contribute in unique ways to their organization. 相似文献
10.
《Information processing & management》2019,56(4):1234-1244
The impact of online reviews on businesses has grown significantly during last years, being crucial to determine business success in a wide array of sectors, ranging from restaurants, hotels to e-commerce. Unfortunately, some users use unethical means to improve their online reputation by writing fake reviews of their businesses or competitors. Previous research has addressed fake review detection in a number of domains, such as product or business reviews in restaurants and hotels. However, in spite of its economical interest, the domain of consumer electronics businesses has not yet been thoroughly studied. This article proposes a feature framework for detecting fake reviews that has been evaluated in the consumer electronics domain. The contributions are fourfold: (i) Construction of a dataset for classifying fake reviews in the consumer electronics domain in four different cities based on scraping techniques; (ii) definition of a feature framework for fake review detection; (iii) development of a fake review classification method based on the proposed framework and (iv) evaluation and analysis of the results for each of the cities under study. We have reached an 82% F-Score on the classification task and the Ada Boost classifier has been proven to be the best one by statistical means according to the Friedman test. 相似文献
11.
《Information processing & management》2016,52(5):721-732
Electronic word-of-mouth communication (eWOM) is an important force in building a digital marketplace. The study of eWOM has implications for how to build an online community through social media design, web communication and knowledge exchange. Innovative use of eWOM has significant benefits, especially for start-up firms. We focus on how users on the web communicate value related to online products. It is the premise of this paper that generating emotional value (E-value) in social media and networking sites (SMNS) is critical for the survival of new e-service ventures. Hence, by introducing a formal value theory as a coding scheme, we report a study on E-value in SMNS by analyzing how a Swedish start-up industrial design company attempted to build a global presence by creating followers on the web. The aim of the study was to investigate how the company's website design and communication can affect eWOM over time. This was done by capturing a series of “emoticon and value expressions” generated by community members from three different e-communication campaigns (2011–2012) with changing website content, hence giving different stimuli to viewers. Those members who expressed emotional value, often incorporating emoticons, displayed both shorter verbal expressions and reaction time. These value expressions, we suggest, are important aspects of eWOM and need to be actively taken into account. The study has implications for information management strategies through using eWOM. 相似文献
12.
技术创新失败是普遍的，又是有特殊价值的，但鲜有研究探讨经历失败的创新团队如何才能继续启动创新行为，以保障企业的持续发展。本文构建了团队技术创新失败、失败复原与连续创新行为的关系模型，分析了团队创新激情的调节作用，以62个团队共346位曾遭遇技术创新失败的团队成员为研究样本采用回归分析对理论假设进行检验。研究发现，技术创新失败的次数和程度与连续创新行为呈倒U型关系；创新失败复原分为问题应对和情绪应对两个维度，在技术创新失败与连续创新行为之间发挥部分中介作用，失败复原的成效直接关系到失败者能否重启创新、取得创新成功；团队创新激情调节了创新失败复原与连续创新行为之间的关系。从创新团队组建与治理、创新失败管理、团队情绪管理、政策配套四个方面提出对策建议，以期为遭遇失败的创新团队提供理论与实践指导。 相似文献
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《Information processing & management》2020,57(1):102126
We analyze a data-set including more than 4.5 million tweets related to four highly emotional riot events. In particular, we examine statistically significant structural patterns that emerge as humans directly engage in an exchange of emotional messages with other humans on Twitter. Furthermore, we compare typical human-to-human communication patterns with those that emerge as bots engage in an emotional message-exchange with human users. To this end, we apply the novel concept of emotion-exchange motifs. We found that a) human-to-human conversations results in a variety of motifs that contain reciprocal edges and self-loops, b) bots predominantly contribute to the emergence of message broadcasting, single-way message sending behavior, c) in contrast to previous findings we found that in certain events bots frequently engage in direct message exchanges with humans, d) during riot events bots tend to direct fear-conveying messages to human users. 相似文献
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16.
《Information processing & management》2020,57(3):102185
Emotional recognition contributes to automatically perceive the user’s emotional response to multimedia content through implicit annotation, which further benefits establishing effective user-centric services. Physiological-based ways have increasingly attract researcher’s attention because of their objectiveness on emotion representation. Conventional approaches to solve emotion recognition have mostly focused on the extraction of different kinds of hand-crafted features. However, hand-crafted feature always requires domain knowledge for the specific task, and designing the proper features may be more time consuming. Therefore, exploring the most effective physiological-based temporal feature representation for emotion recognition becomes the core problem of most works. In this paper, we proposed a multimodal attention-based BLSTM network framework for efficient emotion recognition. Firstly, raw physiological signals from each channel are transformed to spectrogram image for capturing their time and frequency information. Secondly, Attention-based Bidirectional Long Short-Term Memory Recurrent Neural Networks (LSTM-RNNs) are utilized to automatically learn the best temporal features. The learned deep features are then fed into a deep neural network (DNN) to predict the probability of emotional output for each channel. Finally, decision level fusion strategy is utilized to predict the final emotion. The experimental results on AMIGOS dataset show that our method outperforms other state of art methods. 相似文献
17.
《Information processing & management》2005,41(2):217-242
POSIE (POSTECH Information Extraction System) is an information extraction system which uses multiple learning strategies, i.e., SmL, user-oriented learning, and separate-context learning, in a question answering framework. POSIE replaces laborious annotation with automatic instance extraction by the SmL from structured Web documents, and places the user at the end of the user-oriented learning cycle. Information extraction as question answering simplifies the extraction procedures for a set of slots. We introduce the techniques verified on the question answering framework, such as domain knowledge and instance rules, into an information extraction problem. To incrementally improve extraction performance, a sequence of the user-oriented learning and the separate-context learning produces context rules and generalizes them in both the learning and extraction phases. Experiments on the “continuing education” domain initially show that the F1-measure becomes 0.477 and recall 0.748 with no user training. However, as the size of the training documents grows, the F1-measure reaches beyond 0.75 with recall 0.772. We also obtain F-measure of about 0.9 for five out of seven slots on “job offering” domain. 相似文献
18.
《Research Policy》2022,51(2):104398
Scholarly literature on the concept of entrepreneurial ecosystems has increased sharply over the past five years. The surge in interest has also heightened the demand for robust empirical measures that capture the complexity of dynamic relationships among ecosystem constituents. We offer a framework for measurement that places collaborative relationships among entrepreneurs, firms, government agencies, and research institutions at the center of the ecosystem concept. We further emphasize the four roles of the federal government as a catalyst, coordinator, certifier, and customer in shaping these relationships. Despite the central importance of these firm-government interactions, there is surprisingly little research on suitable methodologies and appropriate data for systematically and reliably incorporating them into measures of ecosystem health. Our study aims to address this gap in the literature by first developing a conceptual framework for measuring entrepreneurial ecosystems and then describing an array of accompanying databases that provide rich and detailed information on firms and their relationships with government organizations, accelerators, and research institutions. A major advantage of our approach is that all the underlying databases are drawn from non-confidential, publicly available sources that are transparently disclosed and regularly updated. This greatly expands the potential community of scholars, managers, and policymakers that may independently use these databases to test theories, make decisions, and formulate policies related to innovation and entrepreneurship. 相似文献
19.
Disheng Tang Wenbo Du Louis Shekhtman Yijie Wang Shlomo Havlin Xianbin Cao Gang Yan 《国家科学评论(英文版)》2020,7(5):929
Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has a profound effect on network dynamics and function. Empirical evidence has shown that the temporal nature of links in many real-world networks is not random. Nonetheless, it is challenging to predict temporal link patterns while considering the entanglement between topological and temporal link patterns. Here, we propose an entropy-rate-based framework, based on combined topological–temporal regularities, for quantifying the predictability of any temporal network. We apply our framework on various model networks, demonstrating that it indeed captures the intrinsic topological–temporal regularities whereas previous methods considered only temporal aspects. We also apply our framework on 18 real networks of different types and determine their predictability. Interestingly, we find that, for most real temporal networks, despite the greater complexity of predictability brought by the increase in dimension, the combined topological–temporal predictability is higher than the temporal predictability. Our results demonstrate the necessity for incorporating both temporal and topological aspects of networks in order to improve predictions of dynamical processes. 相似文献
20.
基于已有的研究,对微博平台监测突发事件的几个关键问题进行阐释和分析,把微博舆情监控归纳为微博的短文本研究、微博话题检测与跟踪研究、微博情感倾向分析研究3个方面。通过对相关文献的梳理和评述,探讨了当前研究的不足和未来研究的方向。 相似文献