Jie Xia, Mingqiong Mike Zhang, Jiuhua Cherrie Zhu, Di Fan and Ramanie Samaratunge
The purpose of this paper is to examine the influence of human resource management (HRM) reforms on job-related well-being of academics in Chinese universities. It also tests the…
Abstract
Purpose
The purpose of this paper is to examine the influence of human resource management (HRM) reforms on job-related well-being of academics in Chinese universities. It also tests the mediating effect of work intensification (WI) and affective commitment (AC), and the moderating effect of perceived organizational justice (OJ) on the HRM‒well-being relationship to understand the influence mechanisms and boundary conditions.
Design/methodology/approach
A questionnaire survey was conducted in 25 Chinese universities, obtaining 638 usable questionnaires. Structural equation modeling (SEM) was used as the analytical technique to examine the model fit and test hypotheses.
Findings
The findings reveal that the relationship of HRM and well-being is neither direct nor unconditional, and a win‒win scenario for both management and employee well-being is possible when organizations pursue HRM innovations.
Research limitations/implications
The limitations of this study are that data were collected at once and at a defined time, with no time lag being involved. In addition, all variables were self-reported.
Practical implications
Commitment-oriented HRM practices can create a win‒win scenario; when control-oriented HRM practices are necessary, managers should ensure OJ to offset their negative influence on employees.
Originality/value
This study is among the first to examine the impact of HRM on employee well-being in the context of Chinese higher education, contributing to the limited studies on HRM in Chinese public sector and the on-going debate on the nature of HRM in China.
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Kaiyu Xie, Panpan Xia and Jie Wu
This paper aims to study whether the upstream foundry in the original design manufacturer (ODM) supply chain will violate the commission contract and engage in the production of…
Abstract
Purpose
This paper aims to study whether the upstream foundry in the original design manufacturer (ODM) supply chain will violate the commission contract and engage in the production of pirated products. Based on the conclusion, this study hopes to explain the phenomenon of pirated products in reality and provide management enlightenment for related companies.
Design/methodology/approach
To understand when will foundry violates the processing contract, this paper constructs a five-stage decision-making model, this study derives a model to get three situations and draw data images to describe the characteristics of decision-making by the foundry. Finally, this paper also considers some external supervision.
Findings
The results show that processing fee and other parameters (special cost, common cost, weakening factor and product difference) jointly determine the possibility of piracy by the foundry. Moreover, the external supervision mechanism has a significant effect on the piracy behavior of the foundry.
Research limitations/implications
The research provides some support for real business activities, which actually involve many participants and mechanisms. Thus, it could be interesting to explore more multi-stage and complex business methods in reality.
Practical implications
The analysis highlights less-concerned moral hazard behaviors in the ODM supply chain. By recreating the complex interactions of participants, the conclusion shed light on how should different roles deal with their risks and take actions in a real business environment.
Originality/value
The biggest contribution of this study is to discuss the issue of moral hazard in the ODM supply chain. Piracy initiated by foundries may be a new type of supply chain risk and should be paid attention to.
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Deepak Kumar, Yajvender Pal Verma and Rintu Khanna
Technological development has not only helped in effective integration of renewable sources but also made it possible for consumers to participate in system operation. Different…
Abstract
Purpose
Technological development has not only helped in effective integration of renewable sources but also made it possible for consumers to participate in system operation. Different market players are coming up in the electricity market, microgrid being one of them. Thus, this paper aims to investigate consumers’ role in the dispatch of a microgrid system that has a hybrid market structure under varied system conditions.
Design/methodology/approach
The mathematical model developed has been solved by the CONOPT solver in the GAMS optimization tool. GAMS-MATLAB interfacing is done to obtain solutions.
Findings
The problem formulated shows the effect of consumers in dispatch and overall operational cost. Consumers’ participation has been proposed through a quadratic cost function. The system operation under pool and bilateral contracts has been investigated. It shows that proper incentives to the consumers can help in reduction and effective management of the demand, carbon emission and overall system operational cost.
Originality/value
This paper considers the hybrid market structure to find the load dispatch in a microgrid system. The participation of consumers in the microgrid system has been implemented considering variations in wind power, solar power and load. The power exchange between the grid and microgrid system has been modeled showing the contribution of the consumers in system operation.
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Among U.S. children, research indicates that early childhood experiences, including the child care environment, affect later educational outcomes. Yet, research on educational…
Abstract
Among U.S. children, research indicates that early childhood experiences, including the child care environment, affect later educational outcomes. Yet, research on educational stratification in low-income countries rarely features the preschool years. We investigate the organization of child care among preschoolers in China. In-depth interviews reveal that grandmother care and formal care are highly desirable. Formal care, in particular, is perceived to provide educational advantage. Using China Health and Nutrition Survey (CHNS) data, and mixed random effects logit models, we explore the determinants of grandmother care and formal care. Results suggest poverty is associated with gender bias; in low-income households, boys without siblings are especially likely to receive formal care. These results call for greater attention to early childhood in research on educational stratification in China and other low-income settings.
Nimrod Mendoza Carpio, Wiziel Napod and Hyun Wook Do
Satisfying the gastronomy experience of tourists becomes the most important strategic aim in the hospitality and tourism industries. This study attempts to prove that there is a…
Abstract
Purpose
Satisfying the gastronomy experience of tourists becomes the most important strategic aim in the hospitality and tourism industries. This study attempts to prove that there is a distinct and specific market segment related to gastronomy from the overall number of tourist arrival of Jeonju City. Furthermore, this study investigates the different factors that affect the overall experience of tourists. The focus of the study is Jeonju City, a popular gastronomy destination in South Korea.
Design/methodology/approach
Survey questionnaires were distributed to 680 tourists in Jeonju City during two survey periods. Descriptive statistics and regressions were utilized to treat the data. The predictors that affect the overall experience of tourists were identified through the different literature. The hypotheses were formulated and tested to examine the relationship between the assessments of the distinct gastronomy-tourist market and tourists' overall experience.
Findings
The results indicate that there are 17.20% of the respondents indicated that their main reason for traveling was for the food. Descriptive statistics revealed that local food satisfaction, destination image perceived quality, perceived value, tourist expectations, and costs and risks have a positive and significant influence on tourist overall experience.
Originality/value
The findings of this study could provide guidelines for both the hospitality and tourism industries of the country, and tourist destination operators to further positioned approaches to satisfy gastronomy tourists in the “new normal”.
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Dileep Kumar M., Normala S. Govindarajo and Mae Ho Seok Khen
Tourism researchers proposed that service quality dimensions of tourist destinations can contribute in developing a favorable or unfavorable image among travelers which affect…
Abstract
Purpose
Tourism researchers proposed that service quality dimensions of tourist destinations can contribute in developing a favorable or unfavorable image among travelers which affect visitors’ loyalty or disloyalty as well as destination image. However, such claims are seldom evaluated into in avitourism locations, which are a niche tourism, but fast growing. The purpose of this study is to examine the relationship between service quality, visitor satisfaction and destination image and destination loyalty among avian tourists.
Design/methodology/approach
Following a positivist research philosophy with a quantitative, cross-sectional descriptive study design, the study addressed five direct and two indirect relationships in the model. The research followed expectation dis-confirmation theory of Gartner to test the theoretical model. Following purposive sampling, a sample of 384 international avitourists was collected from five avitourism locations of Malaysia. The study applied SmartPLS SEM to analyze the data.
Findings
The results show that the service quality provided by the park management has a positive impact on visitor satisfaction, destination image and destination loyalty. The study also shows partial mediation effect of visitor satisfaction on destination image and destination loyalty among avitourists. The study extends practical, policy and theoretical implications to the stakeholders of avitourism.
Research limitations/implications
The study limits the possibility for generalization of the findings into five avitourism sites located in three states of Malaysia. Hence, the scope of the study needs to be augmented with samples from more regions to meet the expected generalization. Add to the point, this study lacks qualitative data observations to get an in-depth understanding of the issues pertaining to visitor’s expectations on serviced quality, satisfaction, destination image and loyalty. Hence, it is suggested that more qualitative research interventions need to be made with the tools of in-depth interviews, content analysis and with the method of focus group discussions and Delphi applications.
Practical implications
This study provides the park management a clearer understanding on service quality critical factors in enhancing the satisfaction of avian tourists and building a better avitourism destination image and destination loyalty. The avitourism park management may look into the services for these niche tourists, as these resources are directly linked to nature-based tourism with its diverse requirements to keep visitors satisfied. Park authorities require a sound understanding and skills in managing the biodiversity of the natural resources, birds and animals, to match their services with tourists’ expectations.
Social implications
Biodiversity is important in supporting vital ecosystem services (ES) for human as well as animals. The study has its social implications in generating a greater number of employment opportunity for people surrounding the area of avian destinations preserving the biodiverse area. The people in the surroundings area of avitourism locations will get better employment opportunity as guides and nature trail experts, if the avian tourism develops in its real principle.
Originality/value
Avitourism is a niche tourism. The expectations of the visitors of avitourism locations are entirely varied in comparison with general tourism. Very less studies focused into expectations of the visitors linking human factor of service quality, emotional intelligence, visitor satisfaction, etc. like dimensions that will contribute into dynamic destination image and destination loyalty among avitourists. With the support of quantitative research tools, representative sampling and theoretical selection, the study findings are original in their form, ensuring external validity further to generalize into other birdwatching locations across the countries. The study observations are highly valuable to all stakeholders of avitourism.
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Qingyan Jiang, Cuihong Yang, Jie Wu and Yan Xia
Known as the major capital providers in Belt and Road countries and the largest carbon emitter in the world, what role China's outward direct investment (ODI) plays in carbon…
Abstract
Purpose
Known as the major capital providers in Belt and Road countries and the largest carbon emitter in the world, what role China's outward direct investment (ODI) plays in carbon neutralization has become a matter of concern. This study aims to measure the impact of China's ODI on the carbon emissions of Belt and Road countries.
Design/methodology/approach
Based on an econometric model and an inter-regional input–output model, a new model measuring the carbon emission effects of ODI is developed.
Findings
The empirical results show that (1) in general, China's ODI generates an emission-reduction effect in Belt and Road countries; (2) The relationship between the emission-reduction effect and income level of host countries shows an approximate inverted U-shaped trend; and (3) China's ODI generates stronger emission-reduction effects on capital-intensive industries.
Originality/value
This study quantitatively measures the scale of carbon emission-increase and reduction effect, which is relatively lacking in previous studies. This study explores the heterogeneity from the perspectives of regions, countries and industries. The authors have compiled an inter-regional input–output table for the Belt and Road countries for 2014 to provide a broad basis for the study of related issues.
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Lingfeng Dong, Jinghui (Jove) Hou, Liqiang Huang, Yuan Liu and Jie Zhang
This paper aims to explore the effects of normative and hedonic motivations on continuous knowledge contribution, and how past contribution experience moderates the effects of the…
Abstract
Purpose
This paper aims to explore the effects of normative and hedonic motivations on continuous knowledge contribution, and how past contribution experience moderates the effects of the motivations on continuous knowledge contribution.
Design/methodology/approach
Based on goal-framing theory, the present study proposes a comprehensive theoretical model by integrating normative and hedonic motivations, past contribution experience and continuous knowledge contribution. The data for virtual community members' activities were collected using the Python Scrapy crawler. Logit regression was used to validate the integrative model.
Findings
The results show that both normative motivation (reflected by generalized reciprocity and social learning) and hedonic motivation (reflected by peer recognition and online attractiveness) are positively associated with continuous knowledge contribution. Moreover, these effects are found to be significantly influenced by members' past knowledge contribution experience. Specifically, the results suggest that past knowledge contribution experience undermines the influence of generalized reciprocity on continuous knowledge contribution but strengthens the effect of peer recognition and online attractiveness.
Originality/value
Although the emerging literature on continuous knowledge contribution mainly focuses on motivations as antecedents that promote continuous knowledge contribution, most of these studies assume that the relationship between motivating mechanisms and continuous knowledge contribution does not change over time. The study is one of the initial studies to examine whether and how the influence of multiple motivations evolves relative to levels of past contribution experience.
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Mengxi Yang, Jie Guo, Lei Zhu, Huijie Zhu, Xia Song, Hui Zhang and Tianxiang Xu
Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation…
Abstract
Purpose
Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.
Design/methodology/approach
This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.
Findings
The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.
Research limitations/implications
First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.
Practical implications
This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.
Social implications
Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.
Originality/value
In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.
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This study aims to propose a consensus model that considers dynamic trust and the hesitation degree of the expert's evaluation, and the model can provide personalized adjustment…
Abstract
Purpose
This study aims to propose a consensus model that considers dynamic trust and the hesitation degree of the expert's evaluation, and the model can provide personalized adjustment advice to inconsistent experts.
Design/methodology/approach
The trust degree between experts will be affected by the decision-making environment or the behavior of other experts. Therefore, based on the psychological “similarity-attraction paradigm”, an adjustment method for the trust degree between experts is proposed. In addition, we proposed a method to measure the hesitation degree of the expert's evaluation under the multi-granular probabilistic linguistic environment. Based on the hesitation degree of evaluation and trust degree, a method for determining the importance degree of experts is proposed. In the feedback mechanism, we presented a personalized adjustment mechanism that can provide the personalized adjustment advice for inconsistent experts. The personalized adjustment advice is accepted readily by inconsistent experts and ensures that the collective consensus degree will increase after the adjustment.
Findings
The results show that the consensus model in this paper can solve the social network group decision-making problem, in which the trust degree among experts is dynamic changing. An illustrative example demonstrates the feasibility of the proposed model in this paper. Simulation experiments have confirmed the effectiveness of the model in promoting consensus.
Originality/value
The authors presented a novel dynamic trust consensus model based on the expert's hesitation degree and a personalized adjustment mechanism under the multi-granular probabilistic linguistic environment. The model can solve a variety of social network group decision-making problems.