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991.
Consistent with social motivation theory, prior research on managerial motivation suggests that effort is contagious across management team members. In this study, we draw on belongingness theory to develop a model on important boundary conditions to social motivation theory in the management team context. The model predicts that new venture managers react to their teammates’ higher effort levels by investing higher effort levels themselves primarily when they are confronted with a threat – namely, low venture performance and high environmental hostility – but that effort is less contagious when managers face little threat. We test our model with a sample of 103 new venture managers nested in 51 management teams in a longitudinal setting capturing managerial effort over 26 weeks. While we do not find a direct relationship between teammates’ effort and a new venture manager’s subsequent effort, we find support for the crucial role of threat in triggering the contagion of managerial effort. We discuss the contributions of our study for research on management teams, performance feedback, and entrepreneurial effort in new ventures. 相似文献
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Firms need to respond to the increasing competition and change of the current New Normal environment by being more innovative, and especially in developing new business models. This paper seeks to explore how microfoundations, particularly with respect to human resource management, play a key role in facilitating innovation in business models through the development of key needed capabilities. Four themes are identified with respect to business model innovation (BMI) in the New Normal: BMI as an enabler to create and operate across industries and product-markets; BMI as a mechanism for firms to better navigate changing institutional landscapes; BMI as giving rise to business model portfolios; and concurrent and cumulative innovations that can lead to BMI. This paper also develops a conceptual framework that presents a synoptic view of the five essential capabilities for BMI, which include analogical reasoning, sensemaking, dynamic capabilities, organisational ambidexterity, and organisational learning. Finally, it is shown how the microfoundations of a bespoke, development-oriented BMI HR architecture can support the advancement of these capabilities and thus contribute to the strategic HR literature. 相似文献
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David Ahlstrom Jean-Luc Arregle Michael A. Hitt Gongming Qian Xufei Ma Dries Faems 《Journal of Management Studies》2020,57(3):411-437
A New Normal environment for business has emerged in the years after the 2008 financial crisis based on numerous changes in the world's economic, technological, demographic, and sociopolitical factors. This combination of changes has created a New Normal environment for firms with major implications for managers, strategists, and entrepreneurs alike. It has resulted in an environment with new challenges and opportunities that are considerably different from what firms had to contend with in the years previous. In this paper, we present the main changes that characterize the current New Normal business environment and highlight some key implications for strategy and management. Then, we present the nine articles in this special issue dealing with different dimensions of this new environment for firms. Subsequently, we outline some future research questions that could help to advance our knowledge of the New Normal environment and its implications for firms and management theories. In examining the New Normal, it is important to be reminded that the world is indeed round and even small actions on one side of the globe can have a major impact on organizations on the other side of the globe. 相似文献
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本公司位于高新技术产业开发区,是一家具有一般纳税人资格的生产销售企业,由公司出资设立一家创业投资企业,公司100%控股;收购公司持有的GN公司30%和JX公司31.82%的股份,而GN公司为高新技术企业且未上市;有效的运用我国执行的创业投资企业税收优惠政策:创业投资公司投资于未上市中小高新技术企业2年以上(含2年),可按其对中小高新技术企业投资额的70%抵扣该创业投资企业的应纳税所得额;符合条件的居民企业之间的股息、红利等权益性投资收益为免税收入;可以增加公司的税后收益。取得降低公司整体税负的效果。 相似文献
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Jochen Hartmann Juliana Huppertz Christina Schamp Mark Heitmann 《International Journal of Research in Marketing》2019,36(1):20-38
Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives. 相似文献
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文章根据新经济时代的内涵和特征,对新经济时代的企业所需人才的类型、素质进行了论述,提出了新经济时代的人力资源管理创新思路。 相似文献