Knowledge and Process Management最新文献

Recent developments in generative artificial intelligence (GenAI) have raised the interest of knowledge management (KM) scholars in artificial intelligence. By harnessing GenAI, KM processes become more efficient, scalable and adaptable to the needs of organisations and users. Taking the theoretical lens of the Technology–Organisation–Environment (TOE) framework for technology adoption, this study investigates the factors influencing the adoption of GenAI among software developers, as a specific group of knowledge workers, in knowledge creation and sharing. Our interviews with 11 developers from 8 countries were analysed by combining an inductive and a deductive approach. We identified five themes alongside the TOE framework, emphasising the adoption factors of GenAI in software development, particularly within KM. Based on our findings, we discuss how GenAI is adopted for KM in software development. In particular, the interviewees liked the GenAI affordances of solving simpler programming tasks efficiently and rapidly. However, GenAI requires expertise to review and modify the code, write suitable prompts and evaluate the reliability of the provided output. Knowledge exchange with fellow programmers is partly, but not entirely, replaced by exchange with GenAI as a new development team member, as it is more efficient. Nevertheless, continuous learning, adaptation and ethical consideration are needed to realise the full benefits of GenAI tools in software development. This study's findings provide broad practical insights into addressing challenges stemming from GenAI integration in KM processes. Additionally, it prompts a critical reflection on the necessity of revising existing KM theoretical models in light of the emergence of AI-generated knowledge.

The international business literature has highlighted the role of subsidiaries in the generation of new knowledge, but we still lack an understanding of the individual-level initiatives that enable the processes of local knowledge acquisition, subsidiary capability development, and reverse knowledge transfer. Thus, including a microfoundation perspective, this research investigates whether the manager's individual absorptive capacity benefits local knowledge acquisition, whether the manager's bricolage behavior influences subsidiary capability development, and whether the local manager's knowledge influence can contribute to the reverse knowledge transfer of the capability developed by the subsidiary. Following a quantitative approach, a model with five hypotheses was tested using the structural equation modeling technique with data collected from 127 subsidiary managers. As a theoretical contribution, this study fills a gap in the literature by focusing on individual-level initiatives that subsidiary managers can have to promote knowledge management in terms of local knowledge acquisition, subsidiary organizational capability development, and reverse knowledge transfer of subsidiary capabilities. As a managerial contribution, a framework is provided to better guide managers regarding their individual roles in the development and knowledge management of organizational capabilities, according to the roles played by the subsidiary for the multinational corporation.

While organizations are increasingly deploying enterprise social networks (ESNs) in workplaces, many employees are wary of using ESNs to share their knowledge as they fear that they may become less valuable to their organizations. Organizations are also concerned that ESNs can be used to send valuable information to unauthorized external parties. As a result, organizations have struggled to attain the outcomes they expected from deploying ESNs. This study used data from 11 in-depth interviews of employees from financial service organizations to find out how organizations can encourage the effective use of their ESN applications. Thematic analysis of the data showed that governance and intra-organizational trust are critical for increasing the effective use of ESNs.

How can companies reap innovation benefits from big data? To shed more light on this question, this study investigates empirically the relationship between big data variety, adoption of big data analytics technologies, and firm innovativeness. The paper hypothesizes that firms need a suitable organizational cultural orientation to reap the benefits of big data variety and related analytics technologies. Therefore, a firm's data-driven culture is hypothesized as a moderating variable between big data variety, adoption of big data analytics technologies, and firm innovativeness. Based on a multi-industry survey, the results show that the adoption of big data analytics technologies directly influences firm innovativeness, whereas the relationship between big data variety and firm innovativeness is positively moderated by the firm's data-driven culture. Furthermore, a data-driven culture is positively associated with firm innovativeness.

In this conceptual study, we delve into the intricate relationship between human agency, referred to as “self”, and the process of knowledge creation. Drawing inspiration from Derrida's concept of deconstruction and Levinas's idea of the Other, our research explores how knowledge emerges through the integration of the self with the Other, leading to a continuous process of self-(de)construction. Building upon Nonaka and Takeuchi's SECI model (1995), which highlights the spiral of socialization, externalization, combination, and internalization in knowledge creation, our model introduces the concept of Exploration of the Other, Interaction with the Other, Combination with the Other, and Self-(De)construction (EICS). Our study contributes to the existing literature on knowledge creation in two significant ways. Firstly, it integrates a philosophical approach into the understanding of knowledge creation, adding a novel dimension to the existing perspectives. Secondly, it sheds light on the pivotal role of the individual (the self) within the locus of knowledge creation in the context of a knowledge-based economy.

To succeed in the face of constantly changing business challenges, Purchasing and Supply Management (PSM) needs to develop strong knowledge management (KM) mechanisms to equip individuals with accurate, reliable, and up-to-date knowledge and has, therefore, become a significant factor in building competence in this area. Although inter-organizational processes within the context of supply chains and supplier development have previously been studied, little is known about the transformative nature of the PSM function itself. Following a process perspective and drawing on the SECI model of knowledge creation, we contextualize the construct of knowledge assets in PSM and conceptualize mechanisms behind their conversion. Based on thirty-four interviews with PSM practitioners, we show how PSM knowledge is curated and study the applications of KM dynamics within the PSM practice. Our work also highlights barriers to this process and provides recommendations for improving PSM practices and strengthening learning capabilities.

The purpose of this study is to examine the significance of previous, current, and future knowledge among stakeholders from the supply and demand sides in the renewable energy industry. Supported by the notions of the knowledge-based view, this line of enquiry will develop a conceptual framework to illuminate the understanding of this two-pronged view while contributing to the extant literature. Semi-structured interviews were conducted with Vietnamese CEOs and company managers, 12 from the supply side (e.g., equipment providers) and 12 from the demand side (e.g., end users, energy providers). The undertaken inductive analysis revealed 11 dimensions that highlight the significance of previous formal/informal knowledge acquisition, current knowledge to create efficiencies and build adaptive knowledge, and future knowledge to diversify renewable energy offerings and to “pre-empt” future developments in the renewable energy environment. Theoretical and practical implications and insights associated with the findings and the developed framework will be discussed.