Best friend or broken tool? Exploring the co-existence of humans and artificial intelligence in the workplace ecosystem

Artificial intelligence (AI) has become an important topic in business literature and strategy talk. Yet, much of this literature is normative and conceptual in nature. How organizational members perceive AI and the job role changes that come with it is, so far, largely unknown territory for both HR scholars and practitioners. We sought to investigate the relationship between humans and AI and conducted an in-depth exploratory study into the co-existence of humans and two early-stage AI-solutions, one for “low-status” automation and another for “high-status”; augmentation. We suggest that different organizational groups may engage in distinctly different sensemaking processes regarding AI, an important insight for successful HRM strategies when AI is being introduced into the workplace. Moreover, contrary to recent conceptual work, our findings indicate that AI-enabled automation and augmentation solutions may not be detached from nor exist in tension with each other. They are deeply embedded in organizational processes and workflows for which people who co-exist with the technologies must take ownership. Our findings, in part, go against discussions on AI “taking over” jobs or deskilling humans. We describe a more nuanced version of reality fluctuating around the various ways different organizational groups encounter different AI-solutions in their daily work. Finally, our study warns against unconditional technological enthusiasm, managerial ignorance of the nature of work that employees undertake in different organizational groups, and a neglect of the time and effort required to successfully implement AI-solutions that affect not only the home organization but also members of the broader ecosystem.     

加强施工机械设备管理

为了进一步提高劳动生产率、提高企业经济效益,根据施工单位机械设备数量不足、严重老化、技术性和配套性落后等问题,进行分析和探讨解决的方法及措施。     

Why has China’s vertical specialization declined?

Vertical specialization (VS) is quantified by the VS share, which measures the average import content per dollar of exports. A characteristic of China’s export trade is its strong dependence on assembly and processing activities. To take proper account of this, China’s VS shares should explicitly distinguish processing export production from other production. We estimate China’s annual VS shares from 2000 to 2012—the latest year for which a special input–output table is available that makes such an explicit distinction. We find that VS shares increased from 2000 to 2004 and subsequently started to decrease. To explore why it has declined, we introduce a new structural decomposition approach. We find that the decrease of the VS share appears to have been driven mainly by the substitution of imported intermediates by domestic products. This occurred in particular in the production of exports, which implies an upgrading of China’s position in global value chains.     

“互动式教学模式”在英语教学中的探究

英语教学应具有极强的实践性、交流性。以往“教师讲、学生听;教师写、学生抄：教师考、学生背”的落后的教学方式压抑了学生的个性发展,剥夺了学生创新的时间和空间。通过不断探索,互动式教学已成为提高英语课堂教学实效的有效途径。在“互动式教学模式”的课堂里,体现着“以人为本”的原则,以学生为主体,通过教学中师生之间,同学之间的互动关系,产生教与学之间的共鸣,实现教学相长。     

ALICE: Composite leading indicators for euro area inflation cycles

This paper develops Area-wide Leading Inflation CyclE (ALICE) indicators with the aim to provide early signals for turning points in the euro area headline and core inflation cycles. The headline (core) ALICE leads the reference cycle by three (four) months and the lead times extend to five (nine) months based on longer-leading series. Both ALICE indicators signalled turning points in the inflation cycles ex post and also performed well in a simulated real-time exercise. Moreover, in particular the headline ALICE also appeared to be useful for quantitative forecasting of the direction and level of inflation.     

研究生人才培养模式初探——以M大学为例

研究生教学是研究生教育的重要环节,承担着为社会培养高水平、高层次、高质量的专业技术人员和科研人员的重任。以M大学法庭科学专业为例,通过该专业人才培养模式的创新与实践探索,为其他高校研究生教育提供一定参考。     

克拉玛依职业技术学院后勤管理模式中存在的问题和对策研究

本文分析了我院后勤管理模式存在的问题,提出了推进我院后勤管理新的思路方法,供大家参考。     

The effects of technological turbulence and breadth on supply chain technology acceptance and adoption

The current empirical study examines the intention to use and subsequent implementation of a supply chain technology. Specifically, the authors extend the technology acceptance model (TAM) to incorporate the state of the technology environment (technological turbulence) and the extent to which other supply chain technologies have already been adopted by the firm (technological breadth). A series of seemingly unrelated regressions (SUR) were used to analyze survey data from 195 respondents. The results show that in technologically turbulent environments, the relationships between the firm's perceived usefulness and ease of use and the firm's intention to use a supply chain technology are stronger. The study also finds that the relationship between the firm's intention to use a supply chain technology and the implementation of the technology is weaker in firms with greater technological breadth.