Search results

The aim of this study is to provide some important insights for knowledge stickiness from the perspective of the characteristic of knowledge and the people engaged in the knowledge transfer. It proposes an empirical model about factors that influence knowledge stickiness.

Based on knowledge-based view (KBV), this paper systematically elaborated the research model, and then conducted a survey to test the hypotheses. Data were collected by face-to-face interviews in R&D team of knowledge-intensive firms in China. The empirical results generally support the proposed hypotheses.

The paper provides empirical insights about how the knowledge transfer willingness, transfer ability, knowledge residence, knowledge articulability and absorption ability affect the knowledge stickiness in the process of knowledge transfer in R&D team.

This paper provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically.

The proposed framework helps to understand what factors impact knowledge stickiness in R&D teams. Furthermore, the research also provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically from both aspects of characteristics of knowledge itself and people involved in knowledge transfer.

This study, grounded on KBV, constructs a countermeasure model of weakening knowledge stickiness, which contributes to an understanding of factors leading to the success or failure of knowledge transfer. It eventually theoretically extends the KBV of the firm and commits to improve the efficiency and effectiveness of knowledge transfer practically.

Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the moderating influence of extrinsic informal institutions (foreign culture) and intrinsic formal institutions (property rights).

This study constructs a comprehensive database comprising 9,759 firm-year observations in China by using a sample of Chinese A-share listed firms from 2016 to 2020. Subsequently, the hypotheses are examined and confirmed, with the validity of the results being upheld even after conducting endogenous and robustness tests.

The findings of this study offer robust and consistent evidence supporting the notion that Confucianism positively affects technology for social good through both incentive effect and normative effect. Moreover, this positive influence is particularly prominent in organizations with limited exposure to foreign culture and in nonstate-owned enterprises.

The findings contribute to the literature by fostering a deep understanding of technology for social good and Confucianism research, and further provide a nuanced picture of the role of foreign culture and property rights in the process of technology for social good in China.

Today's business world has been tarnished with numerous corporate irresponsible behaviors. It is thus of great importance for firms to carry out crisis management on the condition of corporate social irresponsibility (CSI). Taking a contingent social media crisis management perspective, the authors aim to investigate the relation between CSI and firm value while also examining the moderating effects of being known in social media and generalized favorability in social media on this relation.

The empirical analysis conducted in the authors' research is based on a sample of 203 CSI events that occurred within publicly listed firms in China between 2011 and 2015. During the process of the authors' data collection, the authors initially verified the occurrence of CSI events in publicly listed firms by reviewing reports from reputable sources such as the 21st Century Business Herald and China Securities Journal. Subsequently, the authors collected the information pertaining to media coverage of these CSI events from the China Core Newspapers Full-text Database (CCND). Additionally, the authors obtained the remaining data from reliable sources such as Guba, the China Stock Market and Accounting Research Database (CSMAR) and the Chinese News Analytics Database (CNAD). To test the authors' hypotheses, the event study and multiple-regression analysis methods are adopted.

The authors find CSI generates a negative impact on firm value. Moreover, while being known in social media strengthens the negative relation between CSI and firm value, generalized favorability in social media weakens such relation.

There are two streams of limitations that present promising avenues for future studies. Theoretically, the authors explore the mechanisms of CSI affecting firm value from a contingent social media crisis management perspective. Consequently, the authors' study does not encompass other potential mechanisms that may exist in the CSI–firm value linkage. In terms of empirical analysis, three issues arise that provide opportunities for further investigation. First, the authors have not accounted for all potential factors that could influence the link between CSI and firm value. Second, the authors' data are subject to limitation since it comes from manual collection. At last, because the authors confirm the sample based on the actual CSI events of publicly listed firms in China, the authors' sample size is small.

The authors' findings contribute to a more comprehensive understanding of the relation between CSI and firm value, as well as effective strategies for responding to CSI through the utilization of social media. Consequently, the authors' results have the potential to stimulate further research on the implications of CSI and the management of corporate crises through social media platforms.

This paper aims to present a novel approach to facial recognition that enhances privacy by using radio frequency identification (RFID) technology combined with transformer models, eliminating the need for visual data and thus reducing privacy risks associated with traditional image-based systems.

The proposed RFID-transformer recognition system (RTRS) uses RFID technology to capture signal features such as phase and received signal strength indicator, which are then processed by a transformer model. The model is specifically designed to handle structured RFID data, capturing subtle patterns and dependencies to achieve accurate biometric recognition. The system’s performance was validated through comprehensive experiments involving different environmental conditions and user scenarios.

The experimental results demonstrate that the RTRS system achieves a recognition accuracy of 98.91%, maintaining robust performance across various challenging conditions, including low-light environments and changes in face orientation. In addition, the system provides a high level of privacy preservation by avoiding the collection and storage of visual data.

To the best of the authors’ knowledge, this work introduces the first RFID-based facial recognition system that fully leverages transformer models, offering a privacy-preserving alternative to traditional image-based methods. The system’s ability to perform accurately in diverse scenarios while ensuring user privacy makes it a significant advancement in biometric technology.

A toy UAV performs tumbling, rolling, racing and other complex activities. It is based on low-cost hardware and hence requires a better algorithm to estimate the attitudes more accurately with low power consumption. The proposed technique based on optimized Madgwick filter and moving average filter (MAF) ensures improved convergence speed in estimating the attitude, achieves higher accuracy and provides robustness and stability of the toy UAV. The paper aims to discuss this issue.

Traditional methods are prone to problems such as slow convergence speed and errors in calculation of the attitude angles. These errors cause the vehicle to drift and tremble, thus affecting the overall stability of the vehicle. The proposed method combines the features of optimized Madgwick filter and MAF to provide better accuracy, achieved through the fusion of gyroscope and accelerometer data, and zero correction to eliminate the random drift error of the gyroscope and removal of high-frequency interference by MAF of the accelerometer data. The experimental results on actual flight data showed that the method was better than the conventional Madgwick and Mahony complementary filters.

The performance of the proposed method was analyzed by estimating the pitch and roll angles under the static and dynamic condition of the toy UAV. The results were compared with two traditional methods: Madgwick and Mahony complement filter. In the static condition, the variance and average error while estimating the attitudes was comparatively lower than the traditional method. For the dynamic conditions, the convergence time to achieve a prescribed swing angle was again lower than the traditional method. From these two experiments, it can be seen that the proposed method provides better attitude estimation at lower computation time.

The proposed method combines the optimized Madgwick filter and MAF to accuracy estimate the attitude of toy UAV. The algorithm mainly suits the toy UAVs which are based on low-cost hardware and require better control systems to ensure stability of the vehicle. The experimental results on real flight data illustrate that the method not only improves the convergence speed in estimating the attitude angle for large maneuvers of the toy UAV, but also achieves higher accuracy in the attitude estimation, thus ensuring the robustness and stability of the UAV.

The purpose of this paper is to analyze the impact of different information source on consumer attitudes toward genetically modified food.

The data used in this study are obtained from a large-scale nationwide consumers' survey in urban China conducted by the China Center for Agricultural Policy, Peking University, in 2020. A descriptive analysis between information sources and consumer attitudes toward GM food was conducted. Based on the collected data, an econometric model on the determinants of consumer attitudes was constructed and used for analysis.

This study shows that the impact of new media is currently no different than that of traditional media, indicating that the media campaign successfully reduced the spread of rumors and misinformation regarding GM food. Moreover, this study also shows that consumers whose main information source regarding GM foods is school hold more positive feelings toward such food.

This study contributes to the existing literature by examining the impact of information source on consumer attitudes toward GM food. To reverse consumers' negative attitudes, China has launched a widespread media campaign since the first decade of the 2000s. Results of this study show that authorities' efforts to manage and surveil new media have yielded the desired outcome.

With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and the social climate of China.

This study examines 97 severe corruption cases of high-ranking officials in China, which occurred between 2012 and 2015. As this insinuates that both institutional and social corruption are major problems in China, the analysis delves into multiple facts of corruption, including different types, four primary underlying causes, and suggestions regarding the implementation of three significant governmental shifts that focus on investigation, prevention tactics and legal regulations.

China’s corruption is not only individual-based but also it has developed into institutional corruption and social corruption. Besides human nature and instinct, the causes of corruption can be organised into four categories, namely, social customs, social transitions, institutional designs and institutional operations. For the removed high-ranking officials, the formation of interest chains was an important underlying cause behind their corruption.

This study makes a significant contribution to the literature because this study provides a well-rounded approach to a complex issue by highlighting the significance of democracy and the rule of law as ways to regulate human behaviour to combat future corruption.

The relationship between motivation at work and internal knowledge transfers (IKTs) is an important topic in the knowledge management literature, but evidence on the topic is contradictory. This study aims to analyze the mediating role of transactive memory systems (TMSs) in this relationship.

Data were obtained from 208 military knowledge workers (analysts) from a large European army.

The results indicate that intrinsic and identified motivation positively affect IKTs, although fully mediated by the TMS. Introjected motivation, in contrast, has only a slightly significant direct influence and external motivation has no significant effect. As individual motivation is insufficient to speed up knowledge transfer, this paper proposes the solution of implementing a TMS, which generates trust and improves coordination among group members.

This study’s originality stems from both its context and the problem tackled. The context analyzed is the military, a group that has received very little attention in the field of management and business. Individual motivation in job performance has also received little study in a military context and even less research has related individual motivation to IKTs. To supplement the scarcity of existing studies and resolve the possible difficulties identified concerning IKT in the military, this study proposes to analyze the mediating effect of a TMS on the relationship between individual motivation to perform one’s job and IKTs.

This study aims to adopt the microfoundation perspective to investigate undesirable knowledge rejection by individuals in organizations in the context of counterproductive knowledge behavior (CKB). The paper advances a conceptual framework of the conditions of knowledge rejection by individuals and their respective knowledge rejection behavior types.

This study reviews the limited literature on knowledge rejection and outline a set of antecedents leading to rejecting knowledge as well as a set of different types of knowledge rejection behaviors. This study reviews and synthesizes articles on knowledge rejection from a microfoundation perspective.

The proposed conceptual framework specifies four particular conditions for knowledge rejection and outlines four respective knowledge rejection behavior types resulting from these conditions. Recipients’ lack of capacity leads to ineptitude, lack of motivation leads to dismissal of knowledge, lack of alignment with the source leads to disruption and doubts about the validity of external knowledge lead to resistance. The authors treat these behaviors as variants of CKB, as they can hinder the productive use of knowledge resources in the organization.

Further investigation of both knowledge rejection causes and the resulting knowledge rejection behaviors will ensure a more thorough grasp of the relationships between them, both in terms of the inherent nature of these relationships and their dynamics that would likely be context-sensitive. Although this study focuses only on the individual level, future studies can conduct multi-level analyses of undesirable knowledge rejection, including team and organizational levels.

Practitioners can use the framework to identify, diagnose and manage knowledge rejection more meaningfully, accurately and purposefully in their organizations. This study offers valuable insights for managers facing undesirable knowledge rejection, and provides recommendations on how to address this behavior, improves the constructive use of knowledge resources and the effectiveness of knowledge processes in their organizations. Managers should be aware of undesirable knowledge rejection, its potential cost or concealed cost to their organizations and develop strategies to reduce or prevent it.

The paper contributes toward understanding the relatively neglected topic of knowledge rejection in the knowledge management field and offers a new way of conceptualizing the phenomenon. It proposes that there are two types of knowledge rejection – undesirable and desirable – and advances a more precise and up-to-date definition of undesirable knowledge rejection. Responding to calls for more research on CKBs, the study examines a hitherto unresearched behavior of knowledge rejection and provides a foundation for further study in this area.

The authors investigate the relationship between the structure and the functioning of scientific and technical (S&T) personnel and the quality research and development (R&D) performance output of laboratories functioning under the Council of Scientific and Industrial Research (CSIR), India. The purpose of this paper is to examine how rapid economic and social changes and the demand for better accountability are addressed by public R&D institutions in a specific developing economy.

The authors use the functions performed by the S&T personnel as indicators of their tacit knowledge. The authors use data from 27 different CSIR laboratories to analyze the specific functions carried out by knowledge workers (S&T personnel) in order to gauge the internal strengths and weaknesses of individual laboratories in different functional areas. The authors use the following measures to tap the quality R&D performance of these laboratories – number of Indian patents filed and granted, number of foreign patents filed and granted, and the number of published papers figuring among the top 50 CSIR publications in specific research areas over an extended period of 11 years (2003-2004 to 2013-2014).

The findings show that there is no readymade formula for identifying improvements in quality performance by a research laboratory, given a particular set of S&T worker profile in terms of the six functions defined in the study. The top-performing laboratories have excellent patent as well as publication record reinforcing the point that innovation encompasses both basic and applied research with success depending upon strategically emphasizing the different components of the innovation process.

The scope of the present research work is limited by the choice of the quality R&D performance measures adopted in the study that could be further expanded to better tap the social accountability of these public-funded institutions. In addition, inclusion of all CSIR laboratories in the study framework would add value to the study findings. The research highlights the importance of tacit knowledge management and organizational learning as central features of strategic organization development for technology practices incorporating R&D work, the support of pilot plants, experimental field stations, and engineering and design units.

The paper has particular implications for the leadership and management of public R&D organizations and public policy formulation for innovation in an emerging developing economy context.

This study extends the extant literature by drawing upon the role of tacit knowledge and organizational learning to inform the empirical research on managing public R&D and the innovations that result from it, in a particular emerging economy context, that is, India.