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Article
Publication date: 25 January 2024

Yuwen Cen, Changfeng Wang and Yaqi Huang

In recent years, counterproductive knowledge behavior (CKB) and its types have received increasing interest in knowledge management as the degree of knowledge sharing and…

Abstract

Purpose

In recent years, counterproductive knowledge behavior (CKB) and its types have received increasing interest in knowledge management as the degree of knowledge sharing and innovation in enterprises continues to increase. A rapidly growing number of studies have shed light on the important antecedents and consequences of employees’ CKB. However, the various labels, conceptualizations and operationalizations of CKB have fragmented this body of research. This study aims to systematically integrate the effects of the six types of organizational characteristics on CKB and further draws more general conclusions based on the results of previous studies.

Design/methodology/approach

Based on a survey of 103 effect values responsible for 52 CKB samples, the authors use the ABC theory to explore the effects of the six types of organizational characteristics on CKB. Moderator analysis were performed to resolve inconsistencies in empirical studies and understand the contexts under which CKB has the strongest or weakest effect.

Findings

The results showed that task interdependence and a positive organizational atmosphere, in general, negatively affect employees’ CKB in the moderation analysis. In contrast, workplace discomfort, negative organizational atmosphere, internal competition and time pressure positively and partly affect employees’ CKB. The direction and magnitude of these effects were affected by emotional factors, knowledge personnel types and sample sources. Discussing the theoretical, methodological and practical implications of these findings can offer a guiding framework for future research.

Originality/value

Better control of employees’ CKB is not achieved by adjusting organizational characteristics alone but by combining personal characteristics and mood changes with it to balance organizational characteristics and CKB. Furthermore, the large-sample joint study integrated the conceptual definition of CKB. The multivariate data study provided more reliable conclusions and a solid theoretical foundation for CKB research areas.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 8 January 2024

Chen Liang, Peter K.C. Lee, Minghao Zhu, Andy C.L. Yeung, T.C.E. Cheng and Honggeng Zhou

This study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency…

Abstract

Purpose

This study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency conditions of this relationship.

Design/methodology/approach

This study collects and combines secondary longitudinal data from multiple sources to test for a direct impact of EPU on firms' innovation performance. It further examines the moderating effects of firms' operational and marketing capabilities. A series of robustness checks are performed to ensure the consistency of the findings.

Findings

In contrast to the common belief that EPU reduces the innovativeness of firms, the authors find an inverted-U relationship between EPU and innovation performance, indicating that a moderate level of EPU actually promotes innovation. Further analysis suggests that firms' operational and marketing capabilities make the inverted-U relationship steeper, further enhancing firms' innovation performance at a moderate level of EPU.

Originality/value

This study adds to the emerging literature that investigates the operational implications of EPU, which enhances our understanding of the potential bright side of EPU and broadens the scope of operational risk management.

Details

International Journal of Operations & Production Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 29 September 2023

Cong Doanh Duong, Bich Ngoc Nguyen, Xuan Hau Doan, Van Hau Nguyen and Anh Trong Vu

Little is known about how religious beliefs can motivate consumers to behave more pro-environmentally. Drawn on an integrated model of the theory of planned behavior, the norm…

Abstract

Purpose

Little is known about how religious beliefs can motivate consumers to behave more pro-environmentally. Drawn on an integrated model of the theory of planned behavior, the norm activation model and the self-determination theory, this study aims to explore the effects of religious beliefs (especially, karmic beliefs (KB) and beliefs in a just world (BJW)) on consumers' pro-environmental behavior.

Design/methodology/approach

A sample of 736 consumers recruited from the eight most populous cities in Vietnam using the mall-intercept survey approach and structural equation modeling (SEM) was utilized to test the hypothesized model and hypotheses.

Findings

The findings indicate that KB and BJW can increase consumers' green intrinsic motivation, which subsequently encourages them to engage in pro-environmental consumption. Moreover, awareness of consequences (AOC) and ascription of responsibility (AOR) serially indirectly inspire consumers' sustainable consumption through serial mediators, including personal norms (PN), attitudes toward green products and green purchase intention.

Practical implications

Based on the findings, some theoretical and managerial implications for pro-environmental consumption are provided.

Originality/value

The study offers fresh perspectives on the role of religious beliefs in pro-environmental research. Additionally, this study sheds new light on the marketing literature by integrating the theory of planned behavior (TPB) and norm activation model (NAM) with self-determination theory (SDT) to explore the underlying mechanisms and effects of psychological components on consumers' pro-environmental behaviors.

Details

Management of Environmental Quality: An International Journal, vol. 35 no. 2
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 8 January 2024

Na Ye, Dingguo Yu, Xiaoyu Ma, Yijie Zhou and Yanqin Yan

Fake news in cyberspace has greatly interfered with national governance, economic development and cultural communication, which has greatly increased the demand for fake news…

Abstract

Purpose

Fake news in cyberspace has greatly interfered with national governance, economic development and cultural communication, which has greatly increased the demand for fake news detection and intervention. At present, the recognition methods based on news content all lose part of the information to varying degrees. This paper proposes a lightweight content-based detection method to achieve early identification of false information with low computation costs.

Design/methodology/approach

The authors' research proposes a lightweight fake news detection framework for English text, including a new textual feature extraction method, specifically mapping English text and symbols to 0–255 using American Standard Code for Information Interchange (ASCII) codes, treating the completed sequence of numbers as the values of picture pixel points and using a computer vision model to detect them. The authors also compare the authors' framework with traditional word2vec, Glove, bidirectional encoder representations from transformers (BERT) and other methods.

Findings

The authors conduct experiments on the lightweight neural networks Ghostnet and Shufflenet, and the experimental results show that the authors' proposed framework outperforms the baseline in accuracy on both lightweight networks.

Originality/value

The authors' method does not rely on additional information from text data and can efficiently perform the fake news detection task with less computational resource consumption. In addition, the feature extraction method of this framework is relatively new and enlightening for text content-based classification detection, which can detect fake news in time at the early stage of fake news propagation.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Open Access
Article
Publication date: 13 November 2023

Ming Gao, Anhui Pan, Yi Huang, Jiaqi Wang, Yan Zhang, Xiao Xie, Huanre Han and Yinghua Jia

The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber…

Abstract

Purpose

The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber (CR) exhibit insufficient aging resistance and low-temperature resistance, respectively. In order to develop type 120 emergency valve rubber diaphragms with long-life and high-performance, low-temperatureresistant CR and NR were processed.

Design/methodology/approach

The physical properties of the low-temperature-resistant CR and NR were tested by low-temperature stretching, dynamic mechanical analysis, differential scanning calorimetry and thermogravimetric analysis. Single-valve and single-vehicle tests of type 120 emergency valves were carried out for emergency diaphragms consisting of NR and CR.

Findings

The low-temperature-resistant CR and NR exhibited excellent physical properties. The elasticity and low-temperature resistance of NR were superior to those of CR, whereas the mechanical properties of the two rubbers were similar in the temperature range of 0 °C–150 °C. The NR and CR emergency diaphragms met the requirements of the single-valve test. In the low-temperature single-vehicle test, only the low-temperature sensitivity test of the NR emergency diaphragm met the requirements.

Originality/value

The innovation of this study is that it provides valuable data and experience for future development of type 120 valve rubber diaphragms.

Details

Railway Sciences, vol. 3 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Article
Publication date: 29 August 2023

Qiang Lu, Yang Deng, Xinyi Wang and Aiping Wang

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit…

Abstract

Purpose

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.

Design/methodology/approach

Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.

Findings

Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.

Originality/value

This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.

Details

China Finance Review International, vol. 14 no. 1
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 15 February 2024

Xinyu Liu, Kun Ma, Ke Ji, Zhenxiang Chen and Bo Yang

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for…

Abstract

Purpose

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for propaganda detection primarily focus on capturing language features within its content. However, these methods tend to overlook the information presented within the external news environment from which propaganda news originated and spread. This news environment reflects recent mainstream media opinions and public attention and contains language characteristics of non-propaganda news. Therefore, the authors have proposed a graph-based multi-information integration network with an external news environment (abbreviated as G-MINE) for propaganda detection.

Design/methodology/approach

G-MINE is proposed to comprise four parts: textual information extraction module, external news environment perception module, multi-information integration module and classifier. Specifically, the external news environment perception module and multi-information integration module extract and integrate the popularity and novelty into the textual information and capture the high-order complementary information between them.

Findings

G-MINE achieves state-of-the-art performance on both the TSHP-17, Qprop and the PTC data sets, with an accuracy of 98.24%, 90.59% and 97.44%, respectively.

Originality/value

An external news environment perception module is proposed to capture the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information.

Details

International Journal of Web Information Systems, vol. 20 no. 2
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 21 December 2023

Ping Li, Siew Fan Wong, Shan Wang and Younghoon Chang

This study aims to study the mechanisms and conditions of users' intention to continue to use online health platforms from an information technology (IT) affordance perspective.

Abstract

Purpose

This study aims to study the mechanisms and conditions of users' intention to continue to use online health platforms from an information technology (IT) affordance perspective.

Design/methodology/approach

b This research proposes that a critical affordance effect on an online health platform, users' intention to continue the use of the platform, is affected by five platform affordances via two actualized affordances (i.e. perceived benefits (PBs) and online engagement (OE)). Perceived health threat moderates the effect generated by affordance actualization. A dataset involving 409 users from the “Ping An Health” platform was collected through an online survey and analyzed to validate the research hypotheses.

Findings

The data analysis results confirm that the proposed online health platform affordances affect users' PBs and OE, which influence users' intentions to continue using the platform. Perceived threats (perceived vulnerability (PVU) and perceived severity (PSE)) moderate the relationship between PBs and continuance intention (CI) and between OE and CI.

Practical implications

The research provides important recommendations for online health platform designers to develop IT affordances that can support users' needs for healthcare services.

Originality/value

Limited studies investigated why users continue participating in online diagnosis and treatment. This study provides a new perspective to expand the affordance framework by combining technology features and user health behavior. The study also emphasizes the importance of perceived threats in IT use.

Details

Industrial Management & Data Systems, vol. 124 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 22 March 2024

Qianmai Luo, Chengshuang Sun, Ying Li, Zhenqiang Qi and Guozong Zhang

With increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the…

Abstract

Purpose

With increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management.

Design/methodology/approach

This study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends.

Findings

The research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges.

Originality/value

This study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 1 August 2023

Eman Ismail, Mohamed H. Elsharnouby and Mahmoud H. Abd Elaal

This study seeks to investigate the interrelationships among sector reputation, purchasing stock intention, sector engagement and attitude toward the sector. Moreover, it aims to…

Abstract

Purpose

This study seeks to investigate the interrelationships among sector reputation, purchasing stock intention, sector engagement and attitude toward the sector. Moreover, it aims to explore the moderating role of sector knowledge in the indirect relationship between sector reputation and purchasing stock intention, mediated by sector engagement and/or attitude toward the sector.

Design/methodology/approach

Drawing upon the theory of planned behavior, the research framework is empirically tested. A survey involving 300 potential and actual investors was conducted, representing individuals investing in tourism brands within the Egyptian stock market. The validity and reliability of the constructs were assessed using AMOS, while Hayes’s PROCESS macro was employed to examine the mediation and moderated mediation effects.

Findings

The findings reveal that sector reputation significantly influences sector engagement, attitude toward the sector and purchasing stock intention. Furthermore, the attitude toward the sector serves as an explanatory factor for investors’ propensity to purchase stocks of tourism brands. The study confirms the serial mediation effect of sector engagement and attitude toward the sector, respectively, in the relationship between sector reputation and purchasing stock intention. Additionally, it confirms the moderated mediation role of sector knowledge in the relationship between sector reputation and purchasing stock intention, mediated by attitude toward the sector.

Practical implications

The research outcomes suggest that executives in the tourism industry should identify key determinants to enhance purchasing stock intention by fostering greater sector engagement and fostering positive attitudes toward the tourism sector.

Originality/value

This study contributes to the existing literature by shedding light on the importance of maintaining a positive brand reputation and emphasizing the influential role of investors’ knowledge, engagement and attitude in shaping investment decisions in the stock market. These insights contribute to the understanding of investor behavior and have practical implications for organizations in managing their brand reputation and fostering positive customer–brand interactions in the stock market context, thus the current study was conducted.

Details

Management & Sustainability: An Arab Review, vol. 3 no. 1
Type: Research Article
ISSN: 2752-9819

Keywords

1 – 10 of 687