The role of innovation in venture capital: empirical evidence from European Union and EFTA countries

This article investigates the effects of innovation attempts on the venture capital and investment activity in the cases of the selected European Union plus European Free Trade Agreement countries using annual panel data and by controlling for real income growth and business sophistication. Our findings suggest that innovation has positively significant effects on venture capital in the cases without opt-out countries (United Kingdom and Denmark); however, these effects become negative in the cases with opt-out countries. Policy implications are provided in the conclusion section of this study.     

关于企业成本管理的探讨

成本管理是预算管理和绩效管理的前提,企业需要正确地将成本进行分类、计量和归集。恰当的成本管理制度可以帮助企业提升运营效率和业务绩效,同时企业的流程改善、突破和优化与成本管理密不可分。另外,管理者需要令客户对产品和服务满意,并且有效控制各项成本。企业成本管理不是单纯地降低成本,而是通过利用成本分析工具,有效地管理和规划资源,进而提高总体运营效率,保证企业总体绩效的持续改善。论文通过成本计算制度的制定方法和业务流程改善分析技术两方面对成本管控进行探讨。     

How artificial intelligence will affect the future of retailing

Artificial intelligence (AI) will substantially impact retailing. Building on past research and from interviews with senior managers, we examine how senior retailing managers should think about adopting AI, involving factors such as the extent to which an AI application is customer-facing, the amount of value creation, whether the AI application is online, and extent of ethics concerns. In addition, we highlight that the near-term impact of AI on retailing may not be as pronounced as the popular press might suggest, and also that AI is likely to be more effective if it focuses on augmenting (rather than replacing) managers’ judgments. Finally, while press coverage typically involves customer-facing AI applications, we highlight that a lot of value can be obtained by adopting non-customer-facing applications. Overall, we remain very optimistic as regards the impact of AI on retailing. Finally, we lay out a research agenda and also outline implications for practice.     

Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

External pressure or internal culture? An innovation diffusion theory account of small retail businesses’ social media use

COVID-19 put unprecedented external pressure on small businesses to adopt or increase use of social media while not all small businesses are internally ready for this rapid change. This study investigated the roles of external pressures and organizational culture of openness and learning in driving small retail business owners'/managers' social media use decisions by impacting their perceived usefulness and barriers, based on the innovation-decision process model from the diffusion of innovations theory and the theory of reasoned action. An online survey with structured measurements was administered to 411 U.S. small retail business owners/managers. Results from structural equation modeling revealed that external pressures positively influenced small business owners'/managers’ perceived usefulness and barriers and social media use intention. In addition, the culture of openness and learning positively influenced the perceived usefulness while mitigating the perceived barriers, thereby directly and indirectly influencing the social media use intention. Theoretical and managerial implications are discussed.     

Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation

This theoretical perspective paper interprets (un)known-(un)known risk quadrants as being formed from both abstract and concrete risk knowledge. It shows that these quadrants are useful for categorising risk forecasting challenges against the levels of abstract and concrete risk knowledge that are typically available, as well as for measuring perceived levels of abstract and concrete risk knowledge available for forecasting in psychometric research. Drawing on cybersecurity risk examples, a case is made for refocusing risk management forecasting efforts towards changing unknown-unknowns into known-knowns. We propose that this be achieved by developing the ‘boosted risk radar’ as organisational practice, where suitably ‘risk intelligent’ managers gather ‘risk intelligence information’, such that the ‘risk intelligent organisation’ can purposefully co-develop both abstract and concrete risk forecasting knowledge. We also illustrate what this can entail in simple practical terms within organisations.     

企业边界人员的私人关系与企业绩效——基于中国市场数据的元分析检验

企业边界人员与外部利益相关者发展私人关系是新兴市场中的普遍现象，但是“私人关系”是否真的会提升企业绩效？当前文献对此问题并未给出一致结论。文章基于105篇使用中国市场数据的中英文文献，运用元分析技术（Meta-Analysis)考察了私人关系对企业绩效的影响，并分析了企业所处的制度环境和市场环境，企业的生命周期、规模、所有制形式等内部特征对上述影响的调节作用。通过对392个效应值的集成分析，文章发现，尽管私人关系确实能提升企业绩效（ｒ=0.167），但是不同层面的私人关系（政治联系和商业联系）对不同类型的企业绩效（财务绩效、运营绩效和战略绩效）所产生的影响存在差异。同时制度环境、市场环境、企业特征均会显著地调节私人关系对企业绩效的影响。上述结论为新兴市场中的企业如何将私人关系转化为企业绩效提供了指导。     

Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

工商管理类专业课程教学质量监控体系研究

课程教学质量是高等学校的生命线，学分制模式下，工商管理类专业课程因其本身固有的特性，课程教学质量的提升在较大程度上依托于一个完善的质量监控体系的有效运作，为此高校要采取措施，在内部构建起课程教学质量的监控体系来确保人才培养质量，从而提高办学水平。     

Business groups,the financial market and modernization*

Business groups are an important aspect of the industrial organization of many developing countries. This paper develops a theory suggesting that they may be organizations that facilitate modernization in the presence of financial market constraints. An important function of the stockmarket is the diversification of risk that comes with specialized, productive technology. But in the face of serious information problems a well functioning stockmarket may fail to emerge, relegating the economy to a low productivity‐poverty trap. Bilateral links between a firm and a group of others may be a more cost effective way to achieve risk‐sharing. Such business groups may be feasible when a full‐fledged stockmarket is not. As modernization takes place, either because information problems become less severe or more firms enter the economy, business groups actually expand in size before being abruptly rendered obsolete by the stockmarket. This is consistent with empirical results from a number of emerging economies.