Suchergebnisse

Today, it has become an active phase of a transition of companies operating in traditional
industries into companies based on knowledge. Human capital is a key element of the knowledge economy. Competitive advantages of the economy, the possibility of its modernization in modern conditions is directly determined by the accumulation and involved in the country human capital. The most important characteristic of human capital is becoming a leader and companies with global strategic vision for the development of its human resources invest in the development of this competence.

Understanding the cultural specifics of organizational behavior in the international context allows managers to make decisions concerning the selection of employee motivation techniques both for commercial enterprises and state entities. Researcher Geert Hofstede defined culture as "the collective programming of the mind which distinguishes the members of one group from another". Evaluation model of cross-cultural aspects of the workers' behavior gives managers the tools of formation of motivation and decision-making strategies. The process of motivation in multinational management team involves the positioning of employees in an international company in accordance with their interests, not only to the needs of transnational expansion, the formation of supportive and confidential organizational environment, informing the employee about the strategic intentions of the organization and their own career prospects. This achieves the activation of professional and communication skills of employees, determined by the synergistic effect of cross-cultural interaction.

This paper presents research on how knowledge brokers attempt to translate opaque algorithmic predictions. The research is based on a 31-month ethnographic study of the implementation of a learning algorithm by the Dutch police to predict the occurrence of crime incidents and offers one of the first empirical accounts of algorithmic brokers. We studied a group of intelligence officers, who were tasked with brokering between a machine learning community and a user community by translating the outcomes of the learning algorithm to police management. We found that, as knowledge brokers, they performed different translation practices over time and enacted increasingly influential brokerage roles, namely, those of messenger, interpreter, and curator. Triggered by an impassable knowledge boundary yielded by the black-boxed machine learning, the brokers eventually acted like "kings in the land of the blind" and substituted the algorithmic predictions with their own judgments. By emphasizing the dynamic and influential nature of algorithmic brokerage work, we contribute to the literature on knowledge brokerage and translation in the age of learning algorithms.

Because new technologies allow new performances, mediations, representations, and information flows, they are often associated with changes in how coordination is achieved. Current coordination research emphasizes its situated and emergent nature, but seldom accounts for the role of embodied action. Building on a 25-month field study of the da Vinci robot, an endoscopic system for minimally invasive surgery, we bring to the fore the role of the body in how coordination was reconfigured in response to a change in technological mediation. Using the robot, surgeons experienced both an augmentation and a reduction of what they can do with their bodies in terms of haptic, visual, and auditory perception and manipulative dexterity. These bodily augmentations and reductions affected joint task performance and led to coordinative adaptations (e.g., spatial relocating, redistributing tasks, accommodating novel perceptual dependencies, and mounting novel responses) that, over time, resulted in reconfiguration of roles, including expanded occupational knowledge, emergence of new specializations, and shifts in status and boundaries. By emphasizing the importance of the body in coordination, this paper suggests that an embodiment perspective is important for explaining how and why coordination evolves following the introduction of a new technology.

AbstractThis paper explores the idea that well‐aligned HR practices may produce varied and even negative effects on innovation performance. To do so, we examine the interaction effect between rewards for and appraisal of knowledge behaviours on radical and incremental innovation outcomes. Drawing on the insights from the strategic HRM literature on the internal fit between HR practices, as well as the developments of the knowledge governance approach, we argue that rewards and appraisal applied together produce a setting that is conducive for deepening existing knowledge bases, but hindering for more distant and diverse knowledge search. Empirical test of these hypotheses using the data from 259 Finnish companies lends partial support for this argument. Intensive usage of appraisal of knowledge behaviours reduces the positive impact that rewards for such behaviours have on radical innovation. At the same time, rewards and appraisal do not intensify each other's effect on incremental innovation.