Lifan Chen, Shanshan Zhang, Xiaoli Hu, Shengming Liu and Rujia Lan
As a counterproductive interpersonal work behavior, knowledge hiding inhibits team creativity, hampers collaboration and ultimately has a detrimental impact on organizational…
Abstract
Purpose
As a counterproductive interpersonal work behavior, knowledge hiding inhibits team creativity, hampers collaboration and ultimately has a detrimental impact on organizational performance. Drawing upon the impression management perspective. This study aims to investigate how and when employees’ political skill affects their knowledge-hiding behavior in real work contexts.
Design/methodology/approach
The authors tested the hypotheses using data gathered from 266 employees in China using a time-lagged research design.
Findings
The results indicate that political skill positively influences knowledge hiding through the supplication strategy. Moreover, the positive effect of political skill on this strategy is stronger under higher levels of competition.
Research limitations/implications
A cross-sectional design and the use of self-report questionnaires are the limitations of this study.
Originality/value
The authors contribute to the literature on the emergence of knowledge hiding by identifying an impression management perspective. The authors also contribute to the literature on political skill by exploring the potential negative effects of political skill in the interpersonal interaction. Moreover, the authors enrich the understanding of the literature in competitive climate by introducing the impression management theory and exploring its influence on knowledge floating.
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Yangzi Wu, Xiaoli Hu, Jiuchang Wei and Dora Marinova
Knowledge sharing is a key part of enterprise knowledge management, which helps to develop and use knowledge-related resources and ultimately achieve organizational goals. This…
Abstract
Purpose
Knowledge sharing is a key part of enterprise knowledge management, which helps to develop and use knowledge-related resources and ultimately achieve organizational goals. This study aims to theoretically discuss and empirically investigate the mechanism by which the intention to share knowledge is influenced by employees’ attitudes, social pressure and job characteristics.
Design/methodology/approach
Based on the theory of planned behavior, this study uses primary data collected from technology companies in the Yangtze River Delta region of China based on a longitudinal tracking research method of different variables at two different points in time. The data from 287 questionnaires were investigated by hierarchical regression analysis and processed with SPSS 21.0.
Findings
The findings suggest that attitudes toward knowledge sharing, perceived social norms and job autonomy positively affect knowledge-sharing intentions. Job autonomy plays a moderating role in the relationship between perceived social norms and knowledge-sharing intentions. Specifically, job autonomy positively moderates the effect of pro-sharing norms on knowledge-sharing intentions and negatively moderates the effects of subjective norms on knowledge-sharing intentions.
Originality/value
This study brings together employees’ and work-related characteristics to systematically explore the influence of employees’ personal evaluations of knowledge sharing. Additionally, by empirically distinguishing between subjective and pro-sharing norms, the study contributes to a better understanding of the antecedents of knowledge sharing and other voluntary behaviors at the individual level.
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Lifan Chen, Shengming Liu, Yue Wang and Xiaoli Hu
This study argues that leader humility is an important facilitator of team creativity. Based on social learning theory, the study explores a new mechanism that links humble leader…
Abstract
Purpose
This study argues that leader humility is an important facilitator of team creativity. Based on social learning theory, the study explores a new mechanism that links humble leader behavior to team creativity through a path of team learning.
Design/methodology/approach
Data were collected in two private-owned technology companies located in South China. The two-time survey included 77 team leaders and 310 employees. An analysis of time-lagged, multisource data was conducted.
Findings
Evidence shows that humble leader behavior promotes team learning behavior through a social learning process, with a subsequent increase in team creativity. This influence is also strengthened when leader effectiveness is high.
Practical implications
Team creativity is an important determinant of organizational success. This research shows that humble leaders can motivate team creativity by acting as a role model. In addition, this research also reminds us that humble leader behavior loses its effect if the leader is incapable.
Originality/value
This research contributes to existing literature on humble leader behavior and team creativity, especially on the mechanisms and contingency effects between these factors.
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Xiaoli Li, Zihan Peng and Kun Li
This study aims to explore the mechanism of boundary-spanning search on firm’s innovation performance under environmental dynamics from the perspective of strategic knowledge…
Abstract
Purpose
This study aims to explore the mechanism of boundary-spanning search on firm’s innovation performance under environmental dynamics from the perspective of strategic knowledge integration.
Design/methodology/approach
A survey was conducted among Chinese firm managers and R&D personnel, resulting in the collection of 315 valid samples. Hierarchical regression analysis was mainly adopted to demonstrate the hypothesized relationships, while the Sobel test and bootstrap method were used to further validate the mediating effects.
Findings
The results demonstrate that boundary-spanning search in different dimensions is a critical factor in the improvement of firm innovation performance (FIP). Two types of strategic knowledge integration are the main factors causing FIP and mediate the influence of boundary-spanning search on FIP. Furthermore, environmental dynamics moderate the relationship among boundary-spanning search, strategic knowledge integration and FIP.
Practical implications
Managers need to strengthen the boundary-spanning search for market and technical knowledge, which will promote firm innovative performance. Managers also need to implement strategic knowledge integration, which specifically includes using planned strategic knowledge integration to compensate for knowledge deficiencies, thereby achieving predetermined objectives; and using emergent strategic knowledge integration to update their understanding of internal and external environments, and to reset strategic objectives. In dynamic environments, managers should emphasize strategic knowledge management activities more.
Originality/value
From a strategic management perspective, this study categorizes strategic knowledge integration into planned and emergent forms. By applying the logic of knowledge acquisition, integration and creation, it explores how boundary-spanning search affects FIP through strategic knowledge integration as the intermediary and the boundary conditions of environmental dynamics. This not only provides a deeper understanding of the nature and effects of boundary-spanning research but also enhances the theory of strategic knowledge management.
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Chunxing Gu, Xiaoli Sheng and Di Zhang
This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication…
Abstract
Purpose
This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.
Design/methodology/approach
In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.
Findings
The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.
Originality/value
In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/
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We aim to determine the subsidy mechanism that can help participants of green supply chain financing (GSCF) maximize their benefits. Then, the optimal subsidy mechanism is…
Abstract
Purpose
We aim to determine the subsidy mechanism that can help participants of green supply chain financing (GSCF) maximize their benefits. Then, the optimal subsidy mechanism is designed to promote the development of GSCF.
Design/methodology/approach
To better understand the impact of different government subsidy measures on the optimal strategy for GSCF, we treat the motivation of the participants in the supply chain as a cost–benefit decision-making process. Then, a Stackelberg game model is developed that accounts for consumers' green preferences and government subsidies. In addition, the factors influencing supply chain members' earnings are analyzed via computational experiments.
Findings
(1) When consumers 2019 green sensitivity reaches a certain threshold relative to that of core enterprises (CEs), the optimal order quantity of these enterprises is greater when the government subsidizes small and medium-sized enterprises (SMEs). Conversely, the optimal order quantity is greater when CEs are subsidized. (2) When the government subsidizes CEs, financial institutions (FIs) and SMEs at the same time, these forms of subsidies have a cumulative effect on the supply chain, and the supply chain and all participants generate the highest earnings.
Originality/value
We analyze the benefits of each participant of GSCF under different government subsidies and then determine the optimal subsidy measures.
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Zexin Ma, Xiaoli Nan, Yan Qin and Peiyuan Zhou
China and the USA are among the countries where depression is most prevalent. However, the treatment rate of depression is relatively low in these two countries. Negative…
Abstract
Purpose
China and the USA are among the countries where depression is most prevalent. However, the treatment rate of depression is relatively low in these two countries. Negative attitudes toward depression is one of the major contributor to the low-treatment rate. The purpose of this paper is to examine the use of narratives to promote positive attitudes toward depression in China and the USA. In addition, it examines that the psychological mechanisms underlying narrative persuasion in these two different cultural contexts.
Design/methodology/approach
An online survey was conducted in both China (n=84) and the USA (n=174). Participants were first asked to complete a short questionnaire about their demographic information and depressive symptoms. They were then asked to read a story featuring a college student with depression. After reading the message, participants completed another questionnaire measuring their attitudes toward depression, transportation (i.e. readers’ involvement with the story), and counterarguing (i.e. the generation of thoughts that dispute the persuasive argument).
Findings
Results from a multi-group analysis suggested that although narrative messages had similar persuasive effects for readers from different cultures, the relation between narrative transportation and counterarguing was different. For the US participants, the more they were transported to the story world, the less counter arguments they generated. However, transportation was not negatively associated with counterarguing for Chinese readers.
Practical implications
Findings provide implications for strategically using narrative persuasion to promote positive attitudes toward depression in different cultural contexts.
Originality/value
This study is the first to test the use of narratives to promote positive attitudes toward depression in different cultural contexts.
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Qing Wang, Xiaoli Zhang, Jiafu Su and Na Zhang
Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the…
Abstract
Purpose
Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the supply chain. Therefore, this paper aims to provide a multi-criteria decision-making method in a probabilistic hesitant fuzzy environment to assist platform-type companies in selecting cooperative suppliers for carbon reduction in green supply chains.
Design/methodology/approach
This paper combines the advantages of probabilistic hesitant fuzzy sets (PHFS) to address uncertainty issues and proposes an improved multi-criteria decision-making method called PHFS-DNMEREC-MABAC for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Within this decision-making method, we enhance the standardization process of both the DNMEREC and MABAC methods by directly standardizing probabilistic hesitant fuzzy elements. Additionally, a probability splitting algorithm is introduced to handle probabilistic hesitant fuzzy elements of varying lengths, mitigating information bias that traditional approaches tend to introduce when adding values based on risk preferences.
Findings
In this paper, we apply the proposed method to a case study involving the selection of carbon emission reduction collaboration suppliers for Tmall Mart and compare it with the latest existing decision-making methods. The results demonstrate the applicability of the proposed method and the effectiveness of the introduced probability splitting algorithm in avoiding information bias.
Originality/value
Firstly, this paper proposes a new multi-criteria decision making method for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Secondly, in this method, we provided a new standard method to process probability hesitant fuzzy decision making information. Finally, the probability splitting algorithm was introduced to avoid information bias in the process of dealing with inconsistent lengths of probabilistic hesitant fuzzy elements.
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Vida Davidaviciene and Alma Maciulyte-Sniukiene
Purpose: The primary purpose is to discuss the productivity and digitalisation interaction at the theoretical level, analyse the productivity and digitalisation differences…
Abstract
Purpose: The primary purpose is to discuss the productivity and digitalisation interaction at the theoretical level, analyse the productivity and digitalisation differences between the European Union (EU)-14 and EU-13 countries, and evaluate the digitalisation impact on the manufacturing sector labour productivity of the EU countries.
Need for study: The average added value created per capita in new EU countries (EU-13) is one-third lower than in old EU countries (EU-14). To increase productivity, manufacturing companies must adapt to modern trends and take advantage of industrial digitisation opportunities. Digitisation can improve production efficiency, reduce costs, and improve product quality, allowing continuous monitoring and analysis of production data, enabling informed decisions and faster problem-solving.
Methodology: Analysis of scientific literature, comparing viewpoints, insights, and conclusions. The empirical study includes calculating rates of change of indicators, differences between EU-14 and EU-13, and structural analysis. The impact of digitisation on the productivity of EU countries is studied by creating a correlation matrix and using regression analysis: ordinary least square models.
Findings: EU-13 countries are behind EU-14 in labour productivity and manufacturing digitalisation. Digitalisation positively impacts productivity per employee. A faster increase in digitisation, industrial robot use, and e-commerce sales could significantly increase productivity in EU-13, reducing productivity differences between countries.
Practical implications: This study highlights the need for policy promoting digitisation innovation, particularly in EU-13 countries, to be implemented by both national and EU-based economic development and regional and cohesion institutions.
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Antonio-Rafael Ramos-Rodriguez, María Paula Lechuga Sancho and Salustiano Martínez-Fierro
Analyze patterns of co-authorship in hospitality and tourism (H&T) research using bibliometric methods. The purpose of this paper is to answer three questions related to…
Abstract
Purpose
Analyze patterns of co-authorship in hospitality and tourism (H&T) research using bibliometric methods. The purpose of this paper is to answer three questions related to collaborative practices, the number of authors, the order of signatures and the role of the corresponding author.
Design/methodology/approach
The methodology is based on the bibliometric techniques of authorship analyzes published in leading H&T journals. Evaluative techniques provide longitudinal evidence of the evolution of some indicators of authors’ collaboration: the percentage of alphabetized authorships; the percentage of articles were the most relevant author signs in the first, middle or last position; and the position of the corresponding author in the by-line.
Findings
First, the collaborative nature of H&T research is confirmed; almost 80% of articles in the sample are co-authored. Second, over the past 30 years, the alphabetized signature model has been in decline in this field. Today, about 20% of articles indexed in JCR journals are signed alphabetically. Third, the first author’s placement is less consistent than that of the corresponding author.
Practical implications
This work provides relevant information on researchers’ authorship habits that may help evaluators assign credit and accountability and avoid malpractice in the authorial assignment.
Originality/value
This study explores the habits of researchers who collaborate to improve their productivity, impact and reputation. This is often linked to facilitating access to research funding and obtaining recognition from incentive systems. Yet, no research specifically examines trends in signature order or the corresponding author’s role in the H&T field.