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1 – 10 of over 12000Jielin Yin, Zhenzhong Ma, Haiyun Yu, Muxiao Jia and Ganli Liao
This paper aims—based on past research works which have shown that transformational leadership has positive impact on knowledge sharing—to explore the impact of different…
Abstract
Purpose
This paper aims—based on past research works which have shown that transformational leadership has positive impact on knowledge sharing—to explore the impact of different leadership dimensions of transformational leadership on knowledge sharing and further to explore the mechanism through which transformational leadership affects employee knowledge sharing in China.
Design/methodology/approach
Based on the transformational leadership theory and the team learning theory, it is proposed that all four dimensions of transformational leadership, including intellectual stimulation, individualized consideration, inspirational motivation and idealized influence, have unique impact on employee knowledge sharing. It is further proposed that psychology safety and team efficacy mediate these relationships. Then data were collected from over 400 employees from knowledge-based companies in China to empirically test the proposed relationships with the method of structural equation modeling.
Findings
The results show that psychological safety fully mediated the impact of intellectual stimulation on knowledge sharing, and team efficacy fully mediated the impact of inspirational motivation on knowledge sharing. Both factors also mediated the impact of individualized consideration on knowledge sharing. The results thus provide empirical support for the impact of transformational leadership on employee knowledge sharing in an international context.
Originality/value
The past years have seen increasing interest in leadership and knowledge sharing in emerging markets, yet the mechanism through which leadership affects employee knowledge sharing remains understudied. This study explores the impact of different dimensions of transformational leadership on employee knowledge sharing, and further shows that psychological safety and team efficacy mediate these relationships in a collectivistic society where knowledge sharing is consistent with cultural norms. The findings help develop more robust knowledge sharing theories in the international context and provide insightful suggestions for management practitioners in emerging markets.
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Qian Wang, Biao Ma, Liang Yu, Man Chen, Guoyu Wang and Liangjie Zheng
This paper aims to explore the influence of applied pressure on the tribological properties of the friction component in a wet multi-disc clutch during the running-in process.
Abstract
Purpose
This paper aims to explore the influence of applied pressure on the tribological properties of the friction component in a wet multi-disc clutch during the running-in process.
Design/methodology/approach
The running-in evolutionary was explored in terms of global friction performance. The variation of friction torque and mean COF of the initial 300 engagement cycles was obtained by full-scale tests. Finally, an optical microscope was used to detect the wear characteristics of friction surfaces.
Findings
The applied pressure showed a significant influence on the tribological behaviors of wet clutches during the running-in process. The mean COF decreased and then increases with the increase of the applied pressure. A higher applied pressure contributed to more asperity summits being sheared, thus resulting in a smoother surface. Considering a suitable wore performance, properly applied pressure is necessary.
Originality/value
The results provide theoretical guidance for selecting the optimal applied pressure in the running-in of wet clutches.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2022-0256/
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Alice Labban, Yu Ma and Laurette Dube
This paper aims to elucidate some of the complexity around food consumption by drawing from neuroscience research of food as a motivated choice (i.e. a neurobehavioral process…
Abstract
Purpose
This paper aims to elucidate some of the complexity around food consumption by drawing from neuroscience research of food as a motivated choice (i.e. a neurobehavioral process sensitive to dopaminergic response to food and environmental cues such as marketing). The authors explore the single and compounded effect of the motivational salience of food’s intrinsic reinforcing value tied to its sugar content and that of two marketing food cues, price and in-store display, on actual consumer purchase behavior.
Design/methodology/approach
The authors test the above hypotheses in two perceived “healthy” product categories with a wide distribution of sugar content. The authors estimate a within-category model using three years of retail transaction data to test the effect on weekly sales.
Findings
The authors confirm the single effect of each of food’s and marketing cues’ motivational salience as well as their compounded effect with high-motivational-salience food being less price elastic and more susceptible to in-store display activities.
Research limitations/implications
This research highlights the need to complement current reliance on unhealthy/healthy perception with finer grained objective evidence linked to the formulation of the food itself and the marketing applied to them.
Practical implications
The present study findings may help marketing managers and policymakers develop better targeted pricing and display strategies for low- and high-motivational-salience food, attempting to strike a better balance between consumer welfare and commercial performance.
Originality/value
This paper is one of the few that links real-world market outcomes to predictions derived from a unique combination of consumer neuroscience and neurobiology of food, advancing data-driven decisions.
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Hsiu-Yuan Tsao, Ming-Yi Chen, Hao-Chiang Koong Lin and Yu-Chun Ma
The basic assumption is that there is a symmetric relationship between review valence and rating, but what if review valence and rating were linked asymmetrically? There are few…
Abstract
Purpose
The basic assumption is that there is a symmetric relationship between review valence and rating, but what if review valence and rating were linked asymmetrically? There are few studies which have investigated the situations in which positive and negative online reviews exert different influences on ratings. This study considers brand strength as having an important moderating role because the average rating of existing reviews for a particular product is a heuristic cue for decision makers. Thus, the purpose of this paper is to argue that an asymmetric relationship between review content valence and numerical rating will depend on brand strength.
Design/methodology/approach
The authors have conducted a sentiment analysis via text mining, using self-developed computer programs to retrieve a data set from the TripAdvisor website.
Findings
This study finds there is an asymmetric relationship between review valence (verbal) and numerical rating. The authors further find brand strength to have an important moderating role. For a stronger brand, negative review content will have a greater impact on numerical ratings than positive review content, while for a weaker brand, positive review content will have a greater impact on numerical ratings than negative review content.
Practical implications
Marketers could adopt sentiment analysis via text mining of online reviews as a valid measure or predictor of consumer satisfaction or numerical ratings. Strong brands should direct more attention to negative reviews, because in such reviews the negative impact transcends the positive. In contrast, weak brands should aim to exploit as many positive reviews as possible to minimize the impact of any negative reviews.
Originality/value
This study finds there is an asymmetric relationship between review valence (verbal) and numerical rating and considers brand strength to play an important moderating role. The authors have used real data from the TripAdvisor website, which allow people to express themselves in an unsolicited manner, and linked these with the results from the sentiment analysis.
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Nan Wang, Jielin Yin, Zhenzhong Ma and Maolin Liao
The purpose of this paper is to explore the effects of organizational rewards on two forms of knowledge sharing – explicit knowledge sharing and tacit knowledge sharing in virtual…
Abstract
Purpose
The purpose of this paper is to explore the effects of organizational rewards on two forms of knowledge sharing – explicit knowledge sharing and tacit knowledge sharing in virtual communities, and further to explore the mediating effect of intrinsic motivation on the effect of virtual community rewards on implicit knowledge sharing.
Design/methodology/approach
Based on relevant knowledge sharing theories, this study develops an integrated framework to explore virtual community rewards and tacit and explicit knowledge sharing in a virtual context. This study then collected data from 429 virtual community users in four virtual communities via an online survey. Hierarchical regression analyzes were used to test the proposed research model.
Findings
The results of this study show that virtual rewards have a significantly positive linear relationship with explicit knowledge sharing but have an inverse U-shape relationship with tacit knowledge sharing in virtual communities. In addition, intrinsic motivations including enjoyment and self-efficacy mediate the relationship between rewards and tacit knowledge sharing.
Practical implications
This study suggests more virtual community rewards may not always lead to more tacit knowledge sharing. Instead, too many rewards may weaken the motivation for tacit knowledge sharing. Knowledge management practitioners should make full use of the positive impact of self-efficacy and enjoyment to set up appropriate reward incentives to encourage knowledge-sharing, in particular, tacit knowledge sharing and to better manage virtual communities.
Originality/value
This study explores knowledge-sharing behavior in virtual communities, an important step toward more integrated knowledge-sharing theories. While online communities have become increasingly important for today’s knowledge economy, few studies have explored knowledge and knowledge sharing in a virtual context and this study helps to bridge the gap. In addition, this study develops an integrated framework to explore the mechanism through which virtual community rewards affect knowledge sharing with intrinsic motivation mediating this relationship in online communities, which further enriches the understanding on how to use virtual rewards to motivate knowledge sharing behaviors in the virtual context.
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Pei Liu, Yu Ma, Xin Li, Caodie Peng and Yaoqi Li
Frontline service employees are often subjected to customer mistreatment and considerable studies have tested outcomes of customer mistreatment. However, the importance of its…
Abstract
Purpose
Frontline service employees are often subjected to customer mistreatment and considerable studies have tested outcomes of customer mistreatment. However, the importance of its antecedents is particularly underestimated. This meta-analytic paper aims to develop an overarching framework that identifies the antecedents of customer mistreatment as well as potential boundary conditions to account for observed variations reported in extant studies.
Design/methodology/approach
Comprehensive electronic and manual searches were performed to retrieve relevant studies on customer mistreatment, which yielded 125 articles, including 141 independent samples. Altogether, these studies included 40,151 participants. The data were analyzed through random-effect meta-analytic methods in R using the psychmeta package.
Findings
Three types of antecedents were identified. In particular, regarding employees’ demographic characteristics, age was found to be negatively correlated with customer mistreatment. Employees’ personality traits such as agreeableness, conscientiousness, positive affectivity, emotion regulation ability and self-efficacy were found to be negatively correlated with customer mistreatment, while neuroticism and negative affectivity were positively correlated with customer mistreatment. In terms of contextual factors, perceived social support and service climate were negatively related to customer mistreatment, whereas job demands were positively related to customer mistreatment. Moreover, the power distance culture and types of service industries moderated some relationships.
Originality/value
This meta-analytic research, drawing upon the perpetrator predation framework, proposed a new and comprehensive framework to explain why customer mistreatment occurs. It not only promoted the advancement of literature on customer mistreatment but also provided effective and targeted guidance for helping frontline service employees reduce such negative experience.
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This paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.
Abstract
Purpose
This paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.
Design/methodology/approach
This paper applies the GMM dynamic panel estimation method.
Findings
The results show that capital sudden stops can significantly inhibit the economic growth of emerging economies. It was also found that the inhibiting effect on low-savings-rate economies is greater, but less on high-savings-rate economies. In addition, this paper examined the impact of different types of capital sudden stops on economic growth in emerging economies. The results reveal that the impact of sudden stops of direct investment is not significant.
Originality/value
Little existing research considers the impact of capital sudden stops through the perspective of savings rate differences. Based on our research using the GMM model, we argue that capital sudden stops will lead to a decline in investment kinetic energy in emerging economies, and therefore, a decline in economic growth. There are also few studies on the economic effects of capital sudden stops. And the time series model is generally used in a single economy. This paper, however, uses the data from 49 emerging economies and takes the panel approach to more comprehensively study the capital sudden stops of emerging economies.
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Jui-Chung Kao, Hsiang-Yu Ma, Kao Rui-Hsin and Cheng-Chung Cho
The rise of communication software has changed our work style. The objectives of this study are: (1) to explore the effect of supervisors making after-hours work requests using…
Abstract
Purpose
The rise of communication software has changed our work style. The objectives of this study are: (1) to explore the effect of supervisors making after-hours work requests using communication software (SWRUCS) on employees’ job stress, quality of life and (2) to examine the moderating effect of personality traits and the cross-level contextual effect of social support.
Design/methodology/approach
A questionnaire survey was conducted to obtain information from 357 employees.
Findings
The results suggested that SWRUCS exacerbated job stress, which negatively impacted on quality of life and well-being. Moreover, different personality traits can either increase or decrease the positive or negative effect of SWRUCS on job stress. This study also revealed that social support can reduce employees’ job stress in a cross-level fashion. Furthermore, social support, especially organizational and supervisory support, can decrease the negative effect of job stress on employees’ quality of life and well-being.
Originality/value
Theoretically, this study has broadened the research scope of the organizational application of communication software, and practically, this study has demonstrated the reason why organizations should provide social support and select employees with suitable personality traits.
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To modernize budgeting system is a challenge issue in many developing countries. To some scholars (Schick, 1998a, 1998b; Ma, 2009a), developing countries must first put into place…
Abstract
To modernize budgeting system is a challenge issue in many developing countries. To some scholars (Schick, 1998a, 1998b; Ma, 2009a), developing countries must first put into place basic budgetary controls before moving to more advanced models of budgeting. This approach of “basic first,” however, is questioned by others (e.g., Andrew, 2006). Drawing on China's recent budget reforms, this essay reconfirms the validity of the “basics first” approach. In China, budget reform since 1999 has begun to install budgetary controls for state finance, leading to an enhancement of budgeting capacity and financial accountability. However, governments at the same time have begun to be plagued by the unexpected problem of delays in spending and the accumulation of significant underexpenditures. Contrary to what many people may believe, we contend that this somewhat odd problem arises not because the new budgeting system has exercised too much control but rather because the new system is not yet effective in exerting budgetary controls.
The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee…
Abstract
Purpose
The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items. Automated information extraction in this area is, however, under-researched, making the extraction process a time- and effort-consuming one. For Chinese logistics tender entities, in particular, existing named entity recognition (NER) solutions are mostly unsuitable as they involve domain-specific terminologies and possess different semantic features.
Design/methodology/approach
To tackle this problem, a novel lattice long short-term memory (LSTM) model, combining a variant contextual feature representation and a conditional random field (CRF) layer, is proposed in this paper for identifying valuable entities from logistic tender documents. Instead of traditional word embedding, the proposed model uses the pretrained Bidirectional Encoder Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the Lattice-LSTM model, the information of characters and words is effectively utilized to avoid error segmentation.
Findings
The proposed model is then verified by the Chinese logistic tender named entity corpus. Moreover, the results suggest that the proposed model excels in the logistics tender corpus over other mainstream NER models. The proposed model underpins the automatic extraction of logistics tender information, enabling logistic companies to perceive the ever-changing market trends and make far-sighted logistic decisions.
Originality/value
(1) A practical model for logistic tender NER is proposed in the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment results show that the model has a better performance than other existing models. This is the first study, to the best of the authors' knowledge, to extract named entities from Chinese logistic tender documents. (2) A real logistic tender corpus for practical use is constructed and a program of the model for online-processing real logistic tender documents is developed in this work. The authors believe that the model will facilitate logistic companies in converting unstructured documents to structured data and further perceive the ever-changing market trends to make far-sighted logistic decisions.
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