Jie He, Yan Mao, Alastair M. Morrison and J. Andres Coca-Stefaniak
This paper aims to investigate the influence of socially- responsible human resource management (SRHRM) on employee fears of external threats during the COVID-19 outbreak, based…
Abstract
Purpose
This paper aims to investigate the influence of socially- responsible human resource management (SRHRM) on employee fears of external threats during the COVID-19 outbreak, based on social support and event system theories. COVID-19 caused sharp profit declines and bankruptcies of hotels, restaurants and travel agencies. In addition, employees faced threats to their health and job security. How to overcome employee anxieties and fears about the negative impacts of this crisis and promote psychological recovery is worthy of attention from researchers and practitioners. This research investigated the impacts of SRHRM on employee fears through organizational trust, with the COVID-19 pandemic playing a moderating role between SRHRM and employee fears.
Design/methodology/approach
The hypotheses were tested through multiple linear regression analysis based on a survey of 408 employees in hospitality and tourism firms in China. Qualitative data were also gathered through interviews with selected managers.
Findings
The results showed that SRHRM had a negative influence on employee fears of external threats by enhancing trust in their organizations. In addition, the strength of the COVID-19 pandemic positively moderated the effect of SRHRM on employee fears. When the pandemic strength was more robust, the negative effects of SRHRM on employee fears were more significant.
Research limitations/implications
This research illustrated the contribution of SRHRM in overcoming employee fears of external threats in the context of COVID-19. It shed light on the organizational contribution of SRHRM to hospitality and tourism employee psychological recovery during the crisis.
Originality/value
This research explored strategic HRM by examining the effects of SRHRM on employee fears in the midst of a severe crisis, specifically COVID-19. The moderation effect of event strength and mediation effect of organizational trust were tested. It is of great value for hospitality and tourism firms to foster employee psychological recovery during a crisis such as COVID-19.
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Paula McIver Nottingham and Yan Mao
Building on the concepts of learning communities of practice, the paper aims to evaluate their application within degree apprenticeships (DAs) to support pedagogic engagement and…
Abstract
Purpose
Building on the concepts of learning communities of practice, the paper aims to evaluate their application within degree apprenticeships (DAs) to support pedagogic engagement and inclusive education within a university setting.
Design/methodology/approach
A case study of an existing B2B sales degree apprenticeship reviewed relevant programme documents and evaluated apprentice learner experience through an anonymised online survey.
Findings
The study found that sales apprentices had a reflexive awareness of how learning communities operated within this context and raised some valuable insights about their perceptions of inclusive education. These communities have differing dynamics that value engaging with workplace professionals, peers and university. Apprentices prefer tuition that accommodates their shared interests as employee learners within an occupational role. Issues surrounding inclusive education are seen as integral to the experience of being an apprentice.
Practical implications
Post-Covid engagement could be used to frame more effective social learning for work-integrated practice and programme teams could advocate for a greater integration of DAs within institutional settings.
Originality/value
This research indicates that B2B sales degree apprentices see themselves as operating within distinctive learning communities of practice that support their work-integrated (WIL) studies in higher education. The paper recommends programme teams provide more collaborative engagement within learning communities to support inclusive education goals.
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Mao Zedong was the representative figure in the Sinicisation ofMarxism. At the beginning of the May 4th Movement, he advocatedpromoting the transformation of society by proceeding…
Abstract
Mao Zedong was the representative figure in the Sinicisation of Marxism. At the beginning of the May 4th Movement, he advocated promoting the transformation of society by proceeding from the actualities of China and inheriting critically the legacy of Chinese and Western cultures. After he became a Marxist, he firmly resisted the tendency towards divination of the directives of the Communist International, and the Soviet experience of revolution, and tried hard to integrate the universal principles of Marxism with Chinese culture and Chinese revolutionary practice, thus opening up the way to the revolution in 1949. However, after the founding of the New China he patterned the economic construction on the Soviet model, and stressed criticism of the culture of the bourgeois, but dropped his guard against the pernicious influences of feudal society; so the historical sediment of the feudal culture became thicker and thicker under cover of Marxism, and finally there occurred the historical tragedy of the “Great Leap Forward” and the “Great Cultural Revolution”. The Third Plenary Session of the Eleventh Central Committee of the Chinese Communist Party repudiated the theoretical basis of the “Great Cultural Revolution” and brought in a new phase of political restructuring and cultural openness. The author holds that the evolution of Mao Zedong′s concept of Chinese and Western cultures should be studied and summarised, so that lessons may be drawn from it for the building of a socialist spiritual civilisation.
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Carla Ruiz Mafé, Silvia Sanz Blas and Juan Fernando Tavera‐Mesías
The purpose of this paper is to analyse key drivers of consumer acceptance of short messaging services (SMS) to participate in TV programmes.
Abstract
Purpose
The purpose of this paper is to analyse key drivers of consumer acceptance of short messaging services (SMS) to participate in TV programmes.
Design/methodology/approach
The technology acceptance model (TAM) and the theory of planned behaviour (TPB) have been integrated for the determinants of the acceptance of mobile data services incorporating variables regarding consumer‐media interaction (perceived value and affinity). The model has been tested using structural equation modelling.
Findings
Perceived value, attitude and affinity towards television (TV) programmes determine SMS acceptance to participate in TV programmes in Spain. In contrast, subjective norm, perceived value and attitude are the key drivers of SMS acceptance in Colombia.
Practical implications
This paper enables mobile companies and TV channels to know what aspects to improve in order to promote SMS‐based TV programmes. Marketers should highlight in their communication strategies user friendliness, usefulness and perceived value of mobile data services. In Colombia, programme stars and presenters should encourage the use of mobile services to interact with TV. Spanish companies should offer reliable and entertaining programme contents to improve consumers' affinity.
Originality/value
Although TAM and TPB have successfully explained behavioural intentions, previous research posits that they should be extended to properly explain mobile services acceptance. This paper combines the influence of perceived value, affinity and the TAM and TPB models to develop an improved model for SMS acceptance. The study also integrates variables for two communication media (TV and mobile) and compares SMS acceptance to participate in TV programmes in two markets with different culture and mobile services penetration rates.
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Yanjie Bian and Lei Zhang
We conceptualize corporate social capital within the context of Chinese guanxi culture. We assert that the formation and mobilization of corporate social capital are culturally…
Abstract
We conceptualize corporate social capital within the context of Chinese guanxi culture. We assert that the formation and mobilization of corporate social capital are culturally and institutionally contextualized. Building upon a relational approach to corporate performance, we examine culture-sensitive properties of Chinese guanxi and compare guanxi social capital with non-guanxi social capital. We then explain why guanxi-based corporate social capital is of growing significance to the Chinese transitional economy in an era of increasing market competition and institutional uncertainty. We conclude by proposing a research agenda about the roles that guanxi-based corporate social capital plays for boosting corporate performance.
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Wu Yan and Lisa Catherine Ehrich
The purpose of this paper is to provide an understanding of principal preparation and training in China by providing a background discussion of principal preparation in a number…
Abstract
Purpose
The purpose of this paper is to provide an understanding of principal preparation and training in China by providing a background discussion of principal preparation in a number of countries. As an illustration, it provides an overview of the curriculum used in the initial preparation of school principals at Beijing Normal University.
Design/methodology/approach
The paper draws mainly on writing and research from China, Australia and the USA to explore principal preparation and training in China.
Findings
In addition to providing a rich description of principal preparation in China, the paper's main findings comprise seven key challenges that confront China as it endeavours to provide quality principal preparation. These challenges include China's diversity and uneven social, cultural and educational development; limited resources in some regions throughout China; the place and importance of study tours for principal preparation; the teaching approach used to train principals; the process used for assessing principal learning during their training programs; the limited transfer of learning from the classroom to the school environment; and the timing of training for principals.
Practical implications
Each of the challenges arising here raises important practical implications for developers of principal training programs.
Originality/value
The paper paints a picture of principal preparation in China and raises a number of issues and challenges with which it continues to grapple. Of note is that China is not alone in facing some of these ongoing concerns.
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Zahidul Islam, Patrick Kim Cheng Low and Ikramul Hasan
This paper aims to examine the influence and applications of both the technology acceptance model (TAM) and the diffusion of innovation (DOI) model on the intention to use…
Abstract
Purpose
This paper aims to examine the influence and applications of both the technology acceptance model (TAM) and the diffusion of innovation (DOI) model on the intention to use advanced mobile phone services (AMPS) among Bangladeshi users. It also seeks to examine the moderating role of attitude towards use in the AMPS research model.
Design/methodology/approach
This is a quantitative study. A questionnaire was developed from previous studies and data were collected from young people between 18 and 31 years of age in Dhaka, Bangladesh. Regression was employed to test the hypotheses.
Findings
The results indicate that perceived usefulness and compatibility are key factors for using AMPS, while other factors such as perceived ease of use and complexity are not as significant. Findings also confirm that attitudes towards use play a moderating role between perceived usefulness/complexity and intention to use AMPS.
Research limitations/implications
Future research is required as this paper focuses only on the younger age range in Dhaka, Bangladesh.
Practical implications
Findings indicate that AMPS can be used by younger segments of the population if the elements of TAM and DOI theory are emphasised.
Originality/value
The paper reinforces the body of knowledge relating to AMPS in the telecommunications industry.
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Siyuan Huang, Limin Liu, Xiongjun Fu, Jian Dong, Fuyu Huang and Ping Lang
The purpose of this paper is to summarize the existing point cloud target detection algorithms based on deep learning, and provide reference for researchers in related fields. In…
Abstract
Purpose
The purpose of this paper is to summarize the existing point cloud target detection algorithms based on deep learning, and provide reference for researchers in related fields. In recent years, with its outstanding performance in target detection of 2D images, deep learning technology has been applied in light detection and ranging (LiDAR) point cloud data to improve the automation and intelligence level of target detection. However, there are still some difficulties and room for improvement in target detection from the 3D point cloud. In this paper, the vehicle LiDAR target detection method is chosen as the research subject.
Design/methodology/approach
Firstly, the challenges of applying deep learning to point cloud target detection are described; secondly, solutions in relevant research are combed in response to the above challenges. The currently popular target detection methods are classified, among which some are compared with illustrate advantages and disadvantages. Moreover, approaches to improve the accuracy of network target detection are introduced.
Findings
Finally, this paper also summarizes the shortcomings of existing methods and signals the prospective development trend.
Originality/value
This paper introduces some existing point cloud target detection methods based on deep learning, which can be applied to a driverless, digital map, traffic monitoring and other fields, and provides a reference for researchers in related fields.
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Jeremy R. Huyton and Anthony Ingold
The “open‐door” policy started by the late Deng Xiao Ping has not only been maintained since his death but under the new Chinese leadership it has been encouraged even further…
Abstract
The “open‐door” policy started by the late Deng Xiao Ping has not only been maintained since his death but under the new Chinese leadership it has been encouraged even further. Because of this China has seen an unprecedented number of tourist arrivals which in turn has led to an explosion in the construction of hotels. However, due to poor vocational educational facilities and staff for hospitality subjects there is a dearth of qualified hotel operatives. This work examines Chinese hotel employees’ perceptions of various elements of vocational education associated with the Chinese hotel industry. This was done by asking staff to rank their feelings on a bi‐polar scale and the results examined using Kelly’s Repertory Grid principal components analysis.
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Wenqing Wu, Xin Ma, Yong Wang, Yuanyuan Zhang and Bo Zeng
The purpose of this paper is to develop a novel multivariate fractional grey model termed GM(a, n) based on the classical GM(1, n) model. The new model can provide accurate…
Abstract
Purpose
The purpose of this paper is to develop a novel multivariate fractional grey model termed GM(a, n) based on the classical GM(1, n) model. The new model can provide accurate prediction with more freedom, and enrich the content of grey theory.
Design/methodology/approach
The GM(α, n) model is systematically studied by using the grey modelling technique and the forward difference method. The optimal fractional order a is computed by the genetic algorithm. Meanwhile, a stochastic testing scheme is presented to verify the accuracy of the new GM(a, n) model.
Findings
The recursive expressions of the time response function and the restored values of the presented model are deduced. The GM(1, n), GM(a, 1) and GM(1, 1) models are special cases of the model. Computational results illustrate that the GM(a, n) model provides accurate prediction.
Research limitations/implications
The GM(a, n) model is used to predict China’s total energy consumption with the raw data from 2006 to 2016. The superiority of the GM(a, n) model is more freedom and better modelling by fractional derivative, which implies its high potential to be used in energy field.
Originality/value
It is the first time to investigate the multivariate fractional grey GM(α, n) model, apply it to study the effects of China’s economic growth and urbanization on energy consumption.