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1 – 10 of over 1000Bo Lv, Yue Deng, Wei Meng, Zeyu Wang and Tingting Tang
The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic…
Abstract
Purpose
The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.
Design/methodology/approach
This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.
Findings
The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.
Originality/value
The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.
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Meng Wang, Azmawani Abd Rahman, Yuhanis Abdul Aziz and Nor Azura Adzharuddin
The distinct characteristics of slow tourism compared to mass tourism determine the differences between slow travelers and mass travelers. This transformation is essential for…
Abstract
Purpose
The distinct characteristics of slow tourism compared to mass tourism determine the differences between slow travelers and mass travelers. This transformation is essential for potential tourists to transition into slow travelers when promoting slow tourism to them. Can travel vlogs, a “fast” way of promoting, achieve such a “slow” transformation? To address this question, the purpose of this paper is to introduce the resonance theory and investigate the impact of resonance with slow tourism vlogs on potential travelers’ destination image and travel intention.
Design/methodology/approach
Through the distribution of online questionnaires on site, this study collected a total of 349 valid questionnaires. Subsequently, the researcher used partial least squares structural equation modeling to analyze the data and test the hypotheses.
Findings
The research findings indicate that cognitive resonance only positively affected cognitive image, while emotional resonance was positively associated with both cognitive image and affective image. In addition, it was observed that cognitive image and affective image played a positive mediating role between resonance with slow tourism vlogs and travel intention.
Originality/value
This research is pioneering in quantitatively validating the structure linking resonance, destination image and travel intention in the context of slow tourism. By validating the second-order structure of cognitive and emotional resonance, this study underscores the crucial role of resonance in shaping tourists’ transition toward a slow mindset in slow tourism.
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Wang Jijun, Zhang Huanxin, Shi Cheng and Wang Meng
Temperature is an important load for a ballastless track. However, little research has been conducted on the dynamic responses when a train travels on a ballastless track under…
Abstract
Purpose
Temperature is an important load for a ballastless track. However, little research has been conducted on the dynamic responses when a train travels on a ballastless track under the temperature gradient. The dynamic responses under different temperature gradients of the slab are theoretically investigated in this work.
Design/methodology/approach
Considering the moving train, the temperature gradient of the slab, and the gravity of the slab track, a dynamic model for a high-speed train that runs along the CRTS III slab track on subgrade is developed by a nonlinear coupled way in Abaqus.
Findings
The results are as follows: (1) The upward transmission of the periodic deformation of the slab causes periodic track irregularity. (2) Because of the geometric constraint of limiting structures, the maximum bending stresses of the slab occur near the end of the slab under positive temperature gradients, but in the middle of the slab under negative temperature gradients. (3) The periodic deformation of the slab can induce periodic changes in the interlayer stiffness and contact status, leading to a large vibration of the slab. Because of the vibration-reduction capacity of the fastener and the larger mass of the concrete base, the accelerations of both the slab and concrete base are far less than the acceleration of the rail.
Originality/value
This study reveals the influence mechanism of temperature gradient-induced periodic deformation in the dynamic responses of the train-track system, and it also provides a guide for the safe service of CRTS III slab track.
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Brid Murphy, Li Sun and Meng (Vivian) Wang
In this study, we examine the relation between employee treatment and annual report readability, which is measured as a reading difficulty score.
Abstract
Purpose
In this study, we examine the relation between employee treatment and annual report readability, which is measured as a reading difficulty score.
Design/methodology/approach
We use regression analysis to explore the impact of employee treatment on annual report reading difficulty.
Findings
We find a significant negative relation between employee treatment and reading difficulty, which suggests that annual reports of firms with better employee treatment are easier to read and understand (i.e. more readable).
Originality/value
Our study contributes to a more thorough knowledge of annual report readability and our findings may be of relevance to accounting standard setters and investors.
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Yan Zhou and Chuanxu Wang
Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to…
Abstract
Purpose
Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.
Design/methodology/approach
This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.
Findings
The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.
Originality/value
Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.
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Jingbo Shao, Chang Ma and Xinyue Wang
The purpose of this paper is to investigate the impact of design features in in-feed advertising on its effectiveness. Previous research on various forms of advertising has…
Abstract
Purpose
The purpose of this paper is to investigate the impact of design features in in-feed advertising on its effectiveness. Previous research on various forms of advertising has demonstrated that design features can influence advertising effectiveness. However, given the distinct presentation mode and content of in-feed advertising compared to traditional forms, it is crucial to examine whether the effects of design features differ for this type of advertising. Through two studies, we examined how five specific design features affect consumers' purchase intention within the context of in-feed advertising. The mediating role of perceived value and the moderating role of product involvement are also proved.
Design/methodology/approach
Using the methods of online survey and online experiment, the author conducted two empirical studies. In study 2, the authors adopted the orthogonal array design to simplify experimental grouping.
Findings
The findings demonstrate that akin to conventional Internet advertising, the informational content, credibility and entertainment value of in-feed advertising exert a positive influence on its efficacy. Notably, the interactive nature of in-feed advertising significantly enhances users' inclination toward making purchases. Conversely, any form of interference can detrimentally impact its utility.
Research limitations/implications
The study demonstrates five design characteristics that may impact the effectiveness of in-feed advertising, expanding the relevant theories about in-feed advertising. At the same time, this study contributes to the understanding of consumer responses to advertising. However, the two studies in this paper are conducted within the framework of WeChat, a popular Chinese social media platform, with the participants consisting exclusively of Chinese users.
Practical implications
Considering the rapid development of in-feed advertising in terms of quantity, content and form, the author believes that the results of this paper can help advertisers in their design thinking. The moderating effect of product involvement can be applied to optimize personalized advertising delivery schemes.
Originality/value
This paper focuses on a practical problem, that is, how to improve the effectiveness of in-feed advertising by modifying advertising design features.
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R. Deepa, Rupashree Baral and Gordhan Kumar Saini
This study aims to investigate the effect of high-performance HR practices (HPHRP) on the innovative work behaviour (IWB) of employees. Drawing on social exchange theory, when…
Abstract
Purpose
This study aims to investigate the effect of high-performance HR practices (HPHRP) on the innovative work behaviour (IWB) of employees. Drawing on social exchange theory, when employees perceive their exchange relationship in terms of HPHRP and leadership support as fair, we hypothesize that employees will demonstrate greater IWB. However, drawing on social identity theory, we hypothesize that when the attitude of employees towards their employer with best employer practices is favourable, the impact of HPHRP mediated by organizational pride and organizational identification, has a greater impact on employee IWB.
Design/methodology/approach
Survey research was used to empirically validate the study involving employees (n = 370) who belong to the best employer brands in India. The data was analysed using Process Macro Models 7 for moderated mediation and Model 6 for serial mediation using bootstrapping procedures.
Findings
The results suggest that perceived leadership support moderated the indirect effect of HPHRP on IWB through organizational pride. Again, organizational pride and identification partially and serially mediated the impact of HPHRP on IWB.
Research limitations/implications
Organizations must invest in HPHRP, with supportive leadership practices that can foster an emotional attitude of pride and a cognitive attitude of organizational identification to be an employer of choice resulting in employees’ IWB.
Originality/value
The study investigating the mediating impact of the emotional and cognitive attitudes of pride and organizational identification has not been previously explored, in the relationship between HPHRP and IWB, from a social identity perspective.
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Rishabh Rathore, Jitesh Thakkar and J.K. Jha
This paper investigates the overall system risk for a foodgrains supply chain capturing the interrelationship among the risk factors and the effect of risk mitigation strategies.
Abstract
Purpose
This paper investigates the overall system risk for a foodgrains supply chain capturing the interrelationship among the risk factors and the effect of risk mitigation strategies.
Design/methodology/approach
This paper first calculates the weight of risk factors using an integrated approach of failure mode, effects analysis and fuzzy VIKOR technique. Next, the weights are utilized as input for the weighted fuzzy Petri-net (WFPN) approach to calculate the system risk.
Findings
Two different WFPN models are developed based on the relationships among the risk factors, and both models demonstrate a higher risk value for the overall system.
Originality/value
The proposed methodology will help practitioners or managers understand the complexity involved in the system by capturing the interrelationship behaviour. This study also considers the concurrent effect of risk mitigation strategies for calculating the overall system risk, which helps to improve the system’s performance.
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Hanna-Anastasiia Melnychuk, Huseyin Arasli and Raziye Nevzat
The purpose of this study is to identify the process of virtual influencer stickiness in the age of influencer marketing, which has received little attention in the literature…
Abstract
Purpose
The purpose of this study is to identify the process of virtual influencer stickiness in the age of influencer marketing, which has received little attention in the literature. This is essential because the research creates a theoretical model of follower loyalty/stickiness to virtual influencer techniques from the standpoint of influencer marketing, which has a substantial effect on the evolution of the global marketing world.
Design/methodology/approach
In 2022, 302 people who currently follow an Instafamous virtual influencer took part in an Instagram self-administered online survey.
Findings
The findings show that both expertise and trustworthiness have a positive and significant influence on parasocial interaction, which in turn has a significant influence on virtual engagement and stickiness.
Originality/value
This research will specifically assist international readers in understanding how to harness and increase the efficiency and efficacy of interactive marketing strategies and methods to engage and retain followers of Instafamous virtual influencer. Moreover, the findings will be beneficial to opinion leaders, brand managers, company investors, entrepreneurs and service designers.
Highlights
The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.
This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.
In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.
This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.
The study pioneers a holistic virtual follower stickiness mechanism that comprises the role of source credibility, parasocial interaction, informational influence and virtual follower’s engagement and their interrelationship to each other.
This study is based on parasocial interaction theory and source credibility theory to understand the relationship between virtual followers and influencers stickiness process at social media platforms.
In addition, the study examined the subsequent effects of sources of credibility components on parasocial interaction; as well as, on virtual follower engagement and stickiness.
This study also categorized and examined the moderating effects exerted by the genres of informative influence of virtual influencer.
Details
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Meng-Nan Li, Xueqing Wang, Ruo-Xing Cheng and Yuan Chen
Currently, engineering project design lacks a design framework that fully combines subjective experience and objective data. This study develops an aided design decision-making…
Abstract
Purpose
Currently, engineering project design lacks a design framework that fully combines subjective experience and objective data. This study develops an aided design decision-making framework to automatically output the optimal design alternative for engineering projects in a more efficient and objective mode, which synthesizes the design experience.
Design/methodology/approach
A database of design components is first constructed to facilitate the retrieval of data and the design alternative screening algorithm is proposed to automatically select all feasible design alternatives. Then back propagation (BP) neural network algorithm is introduced to predict the cost of all feasible design alternatives. Based on the gray relational degree-particle swarm optimization (GRD-PSO) algorithm, the optimal design alternative can be selected considering multiple objectives.
Findings
The case study shows that the BP neural network-cost prediction algorithm can well predict the cost of design alternatives, and the framework can be widely used at the design stage of most engineering projects. Design components with low sensitivity to design objectives have been obtained, allowing for the consideration of disregarding their impacts on design objectives in such situations requiring rapid decisions. Meanwhile, design components with high sensitivity to design objective weights have also been obtained, drawing special attention to the effects of changes in the importance of design objectives on the selection of these components. Simultaneously, the framework can be flexibly adjusted to different design objectives and identify key design components, providing decision reference for designers.
Originality/value
The framework proposed in this paper contributes to the knowledge of design decision-making by emphasizing the importance of combining objective data and subjective experience, whose significance is ignored in the existing literature.
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