Journal of Knowledge Management最新文献

Purpose

This study aims to investigate how knowledge management (KM) influences the achievement of sustainable objectives in new ventures, considering the mediating roles of board composition and financial performance.

Design/methodology/approach

This study considers primary and secondary data from 177 Italian start-ups. Data collection involved a standardized questionnaire to assess KM processes and sustainable practices, supplemented with secondary data on financial performance and the gender composition of the board of directors (BoD). The analysis was conducted using partial least squares structural equation modeling to evaluate the relationships between KM practices, gender diversity, financial performance, and sustainable outcomes.

Findings

The results reveal a significant positive impact of KM on firms’ sustainable practices. Specifically, gender diversity within the BoD and higher financial performance were identified as mediators in start-ups’ sustainability programs. Our study supports the hypothesis that KM practices influence sustainability, highlighting the critical role of specific practices such as knowledge transfer.

Originality/value

This study highlights the significance of KM in improving the sustainability performance of start-ups, addressing a research gap in the intersection between KM and environmental, social and governance (ESG) considerations in new ventures. Furthermore, it highlights the pivotal roles of gender diversity and financial performance as critical factors mediating the relationship between KM and ESG practices.

Purpose

Social media data contains a wealth of content related to customers’ reactions to, and comments on, firms’ performance. Through the lens of signaling theory, this paper aims to investigate the use of social media data as a knowledge resource in communicating firms’ noncompliance risk to regulatory agencies.

Design/methodology/approach

This paper proposes a two-step social media analytics framework to detect noncompliant firms. First, it creates a context-specific dictionary that contains keywords relevant to firms’ noncompliant behaviors. Next, it extracts those keywords from customer reviews, customer sentiment and emotions to predict firm noncompliance. It tests these ideas in the context of food safety regulations.

Findings

It identified over 100 words that are related to restaurants’ hygiene deficiencies. Using the occurrence of these words in customer reviews, as well as sentiments and emotions expressed within them, the author’s best-performing model can identify nearly 90% of the restaurants that severely violated regulations.

Practical implications

After being processed by appropriate machine learning algorithms, customer reviews serve as valuable knowledge resources, enabling regulatory agencies to identify noncompliant firms. Regulatory agencies can use this model to complement the current compliance monitoring scheme.

Originality/value

This research contributes a novel methodology for creating a context-specific dictionary that keeps only the relevant words customers use when discussing firms’ noncompliant acts. In the absence of such an approach, numerous irrelevant signals would be included in the modeling process, thereby increasing the cost of social media analytics.

Purpose

The purpose of this study is to examine the connections between knowledge-based economies, entrepreneurial orientation (EO), sustainable business model innovation and technology transfer (TT). This study specifically investigates whether TT might foster EO and long-term business model innovation in small and medium-sized enterprises (SMEs). This study focuses on economies that are knowledge-based, where information is viewed as a vital resource for economic growth.

Design/methodology/approach

This study uses structural equation modelling method and a quantitative research strategy to analyse data gathered from 309 SMEs in knowledge-based economies. A survey questionnaire created to examine the relevant factors was used to gather the sample data from PROLIFIC platform using judgemental sampling technique.

Findings

This study’s conclusions point to an association between TT and EO that is favourable, SMEs’ ability to use TT to strengthen their EO and the significance of EO in fostering innovation in SMEs. This study offers empirical proof of the role that TT may play in fostering innovation in sustainable business models and EO in SMEs.

Research limitations/implications

Policymakers, business professionals and academic researchers who are interested in the function of TT in knowledge-based economies will find it to be a helpful source of information. According to this study’s results, TT can assist SMEs in using outside expertise and assets to grow their entrepreneurial capacities, promote innovation and build long-term business strategies.

Originality/value

This study provides empirical evidence of the role of TT in fostering innovation within sustainable business models and cultivating EO within SMEs, contributing to the literature on these critical topics.

Purpose

Design thinking is widely recognized as an effective problem-solving approach in the professional and academic world, albeit with varying interpretations. It has been studied in multiple forms – as a tool, a practice, a skill and a mindset – leading to ongoing debates about its fundamental nature. This study aims to explore the use of design thinking in practice and determine how its application varies depending on the characteristics of the innovation projects, namely, the types of goals pursued and the level of uncertainty involved.

Design/methodology/approach

Using a survey methodology and a knowledge-intensive empirical setting, this study analyzes a data set of 221 innovation consulting projects based on design thinking conducted by European consulting firms and design agencies.

Findings

By analyzing the survey data, the authors identify six distinct sets of design thinking practices: discovering user needs, understanding the problem addressed, challenging existing assumptions, navigating the problem-solution pair, ideating through visualizations and learning through prototypes. The authors also identify configurations of these design thinking practices that are used to address different innovation project goals and levels of uncertainty.

Practical implications

The study draws attention to the need for design thinking practitioners to be aware of how different innovation project goals and levels of uncertainty can be pursued/addressed through the use of alternative configurations of design thinking practices.

Originality/value

To the best of the authors knowledge, this study is one of the first large-scale quantitative analyses of the nature of design thinking in action, providing a solid foundation for future research on design thinking.

Purpose

This study aims to investigate the influence of supervisor knowledge sharing on the task performance and the overall evaluation of employees in the context of supervisor-subordinate relationships, a prevalent yet underexplored mode of knowledge transfer.

Design/methodology/approach

Drawing on the social exchange perspective, we propose a framework integrating supervisors’ self-sacrificial leadership and employees’ supervisor-directed organizational citizenship behavior (OCB-S) as critical drivers of efficient knowledge transfer. By bridging micro- and macro-level organizational behavior, this study addresses a key research gap and provides a holistic understanding of factors that enhance knowledge transfer within organizations. To empirically test the hypotheses proposed in our study, we employed the PROCESS macro Model 7 to validate the moderated mediation model and conducted bootstrapping analyses to confirm the statistical significance of the predicted relationships.

Findings

This study offers insights into the micro-processes underlying interpersonal knowledge transfers within supervisor-subordinate relationships. It highlights the significance of self-sacrificial leadership and OCB-S in facilitating effective knowledge sharing, ultimately influencing the task performance and the overall evaluation of employees.

Originality/value

This study contributes to the existing literature on knowledge management by exploring the understudied area of knowledge sharing within supervisor-subordinate relationships. It provides a framework that integrates leadership and OCB as key factors influencing knowledge transfer efficiency. The findings offer practical implications for organizations seeking to optimize knowledge management practices, leadership development and performance appraisal processes.

Purpose

This study aims to explore the impact mechanism of social support on individual health knowledge creation among users in online patient communities, guide and promote the creation of health knowledge and provide insights into managing online patient communities.

Design/methodology/approach

A theoretical model was constructed by integrating social impact and social support theories. Data were collected through questionnaires, and 750 valid responses were analysed using a structural equation model.

Findings

This study found the following. (1) Social support influences individual health knowledge creation through the mediating effects of creative self-efficacy and positive emotions. (2) The general rule of the strength of the influencing factors on individual health knowledge creation is that creative self-efficacy > positive emotions. (3) The general pattern of the mediating effect of attitude factors between social support and health knowledge creation is that creative self-efficacy > positive emotions. (4) The key path for social support to influence individual health knowledge creation is “social support → creative self-efficacy → health knowledge creation”. (5) The dimensions of social support in online patient communities can be divided into information, emotional, respect and network support. Individual health knowledge creation can be divided into health knowledge externalisation, combination, socialisation and internalisation.

Originality/value

This study expands the application scope of social influence theory and opens up the “black box” of the impact of social support on individual health knowledge creation behaviour. Simultaneously, the dimensions of social support, individual health knowledge creation and the mediating role between social support and health knowledge creation are discussed.

Purpose

Owing to the growing importance of human resource practices (HRM) and open innovation (OI) in small and medium enterprises (SMEs) context, the purpose of this paper is to investigate the effect of high-performance working systems (HPWS) on inbound and outbound open innovation in SMEs through the mediating role of innovative work behaviour (IWB). Using ability-enhancing, motivation-enhancing and opportunity-enhancing (AMO) framework, this study investigates the direct and i.ndirect effects of HPWS AMO practices and SMEs open innovation through the mediation effects of IWB.

Design/methodology/approach

This study employed a random sampling method to collect data by surveying 208 participants from SMEs in high-tech manufacturing and knowledge-intensive service sectors. Partial least squares-structural equation modelling is employed to analyse the interrelationships between constructs.

Findings

The results show that ability-enhancing practices are critical HRM practices that directly influence SMEs inbound and outbound; IWB is positively and significantly related to OI approaches; IWB partially mediates the relations between AMO HPWS and inbound and outbound open innovation.

Practical implications

The effects of HPWS practices are important in fostering OI in SMEs operating in Czech Republic. In addition, IWB is a partial intermediation that strengthens the relation between AMO HPWS and inbound and outbound OI.

Originality/value

This study adds to our understanding of the direct and indirect interactions between HPWS practices, IWB and inbound and outbound open innovation in high-tech manufacturing and knowledge-intensive service SMEs in Czech Republic.

Purpose

This study aims to explore the constituents of artificial intelligence (AI)-augmented knowledge management (AIKM) capability and its impact on clinical performance (CP) in the health-care sector. It further examines the mediating role of absorptive capacity (Abs Cap) and discusses the implications of these findings for marketing strategies, highlighting how enhanced CP through AIKM can lead to more effective and patient-centered marketing approaches.

Design/methodology/approach

This research uses a mixed-method design. A qualitative study through semi-structured interviews was conducted to explore the facets of AIKM. The synthesis of qualitative findings infused with the relevant literature to develop a hypothesized model of AKM, Abs cap and CP metrics (e.g. diagnostic accuracy, patient satisfaction and treatment effectiveness). A survey of health-care professional in India was conducted to assess the proposed model by using structural equation modeling (PLS-SEM).

Findings

The results demonstrate a significant positive relationship between AIKM and CP. Moreover, Abs Cap mediates this relationship partially, highlighting its crucial role in translating improved knowledge access and analysis enabled by AI into enhanced clinical outcomes.

Research limitations/implications

The findings suggest that health-care organizations should invest in developing AIKM alongside strengthening Abs cap to maximize the positive impact of AI on CP and ultimately improve patient care. Future research can explore specific AIKM components and Abs cap facets influencing different aspects of CP.

Originality/value

This study represents a pioneering effort to conceptualize AIKM within the health-care context and empirically establish it as a higher-order factor. The inclusion of marketing strategies underscores the potential of AIKM not only in improving clinical outcomes but also in transforming health-care marketing. The mediating role of Abs Cap emphasizes the importance of organizational structures and processes that facilitate the absorption and utilization of knowledge, thereby contributing to both clinical and marketing excellence.

Purpose

This study aims to investigate the influence of knowledge application, government policy and green market orientation (GMO) on organizational sustainable performance in Vietnam, with a particular focus on the mediating role of green innovation in these relationships.

Design/methodology/approach

Data were collected from 253 Vietnamese organizations using purposive random sampling and manager-administered questionnaires. The analysis was conducted using partial least squares structural equation modeling.

Findings

The findings underscore the critical role of government policy in facilitating green innovation and enhancing the sustainable performance of organizations. While knowledge application and GMO are important drivers of green innovation, their direct impact on sustainable performance is not significant. Furthermore, the study confirms the mediating role of green innovation in bridging these relationships.

Practical implications

The study offers critical insights for policymakers and organizational leaders in emerging markets like Vietnam, demonstrating that strategic investments in knowledge application, green innovation and alignment with GMO and government policies can substantially enhance sustainable performance.

Originality/value

This research extends the resource-based view and institutional theory by identifying key determinants of sustainable organizational performance. It underscores the pivotal role of knowledge application, GMO and government policy in promoting sustainable performance through the facilitation of green innovation.