Jing Dai, Ruoqi Geng, Dong Xu, Wuyue Shangguan and Jinan Shao
Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative…
Abstract
Purpose
Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well as the moderating role of organizational inertia.
Design/methodology/approach
Using survey data collected from 170 Chinese manufacturing firms, we performed polynomial regression and response surface analyses to test our hypotheses.
Findings
We find that the congruence between AI and explorative learning enhances firms’ supply chain resilience, while the incongruence between these two factors impairs their supply chain resilience. In addition, compared with low–low congruence, high–high congruence between AI and explorative learning improves supply chain resilience to a greater extent. Moreover, organizational inertia attenuates the positive influence of the congruence between AI and explorative learning on supply chain resilience, while it aggravates the negative influence of the incongruence between these two factors on supply chain resilience.
Originality/value
Our study expands the literature on supply chain resilience by demonstrating that the congruence between a firm’s AI (i.e. technical aspect) and explorative learning (i.e. social aspect) boosts its supply chain resilience. More importantly, our study sheds new light on the role of organizational inertia in moderating the congruent effect of AI and explorative learning, thereby extending the boundary condition for socio-technical system theory in the supply chain resilience literature.
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Holly Overton, Michail Vafeiadis, Pratiti Diddi, Christen Buckley and Frank E. Dardis
As companies continue to engage in CSA, they continue to struggle with determining what issues they should speak out about and how they can create compelling messages that inspire…
Abstract
Purpose
As companies continue to engage in CSA, they continue to struggle with determining what issues they should speak out about and how they can create compelling messages that inspire action. Guided by arguments from issue ownership theory, this study examines CSA message content effects related to two different social-political issues on advocacy behavioral intentions, megaphoning, brand preference and purchase intention. Specifically, the level of advocacy in a CSA message is examined, as well as the manner in which the message is written (narrative vs informational). Furthermore, this study examines the role of perceived authenticity and its impact on an individual’s supportive intentions.
Design/methodology/approach
This study conducts a 2 (issue: abortion rights vs gun violence) × 2 (level of advocacy: call-to-action (CTA) vs no call-to-action) × 2 (message type: narrative vs informational) between-subjects online experiment using a Qualtrics panel (N = 529) to examine the impact of CSA message features on individuals’ supportive intentions toward the brand.
Findings
Results indicate a significant interaction effect of issue by advocacy level on advocating behavioral intentions, megaphoning, brand preference and purchase intention, highlighting that companies should advocate more explicitly about some issues than others. The interaction effects of issue type × level of advocacy were completely and significantly mediated by perceived authenticity. Mediation paths revealed that a CTA with the gun violence issue had a significant positive effect on perceived authenticity, whereas a CTA with the abortion rights issue produced a significant negative effect on perceived authenticity.
Originality/value
This study makes a contribution to a growing body of CSA literature through its examination of CSA message content, which has been understudied in this context. The study findings reveal new insights regarding the interplay between issue type and level of advocacy, highlighting the importance of companies selecting issues carefully and tailoring message content appropriately to have the most impact on message receivers.
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Heyong Wang, Long Gu and Ming Hong
This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.
Abstract
Purpose
This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.
Design/methodology/approach
This paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.
Findings
(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.
Practical implications
The research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.
Originality/value
This paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.
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Yingying Li, Lanlan Liu, Jun Wang, Song Xu, Hui Su, Yi Xie and Tangqing Wu
The purpose of this paper is to study the corrosion behavior of Q235 steel in saturated acidic red and yellow soils.
Abstract
Purpose
The purpose of this paper is to study the corrosion behavior of Q235 steel in saturated acidic red and yellow soils.
Design/methodology/approach
The corrosion behavior of Q235 steel in saturated red and yellow soils was compared by weight-loss, SEM/EDS, 3D ultra-depth microscopy and electrochemical measurements.
Findings
Rp of the steel gradually increases and icorr gradually decreases in both the red and yellow soils with time. The Rp of the steel in the red soil is lower, but its icorr is higher than that in the yellow soil. The uniform corrosion rate, diameter and density of the corrosion pit on the steel surface in the red soil are greater than those in the yellow soil. Lower pH, higher contents of corrosive anions and high-valence Fe oxides in the red soil are responsible for its higher corrosion rates and local corrosion susceptibility.
Originality/value
This paper investigates the difference in corrosion behavior of carbon steel in saturated acidic red and yellow soils, which can help to understand the mechanism of soil corrosion.
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Umar Farooq, Mosab I. Tabash, Basem Hamouri and Linda Nalini Daniel
In the current competitive era of industrialization, a significant level of innovation is necessary to meet the growing competition. There are many economic forces that determine…
Abstract
Purpose
In the current competitive era of industrialization, a significant level of innovation is necessary to meet the growing competition. There are many economic forces that determine the pace of innovation within a country. Among others, this study aims to focus on exploring the relevant role of corruption control (CC) in determining the innovation level.
Design/methodology/approach
For empirical analysis, the authors sample the 24 years of data (1996–2019) of Asian economies and use the fully modified ordinary least square (OLS) and dynamic OLS models to check the regression among variables. The selection of both techniques is based upon the empirical suggestions offered by unit root testing and the Johansen cointegration test.
Findings
The empirical findings infer the positive and statistically significant role of CC in boosting innovation. Strengthening the corruption-free environment encourages innovation activities within the country. In addition, foreign direct investment has a negative relationship with CC while financial development, economic growth, export volume and government subsidies positively determine the innovation level.
Practical implications
Based on empirical analysis, it is suggested that the policy officials should do more focus on CC to enhance the competitiveness of the country through more innovation.
Originality/value
The empirical analysis robust the findings of existing literature in an alternative data set and offers innovative views regarding the role of other factors in boosting the innovation level.
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Sanna Nuutinen and Laura Bordi
This study examined whether job and personal resources could buffer the negative effects of technostrain and information and communication technology (ICT) availability demands on…
Abstract
Purpose
This study examined whether job and personal resources could buffer the negative effects of technostrain and information and communication technology (ICT) availability demands on employee well-being.
Design/methodology/approach
The data were collected among Finnish comprehensive school teachers (n = 323) between December 2020 and February 2021 through an online questionnaire. Hierarchical multiple regression analyses were employed to analyse the main and moderating effects.
Findings
The results indicated that technostrain was positively associated with burnout and negatively associated with work engagement. These associations were stronger than those of ICT availability demands. The moderated regression analyses revealed that psychological detachment buffered the negative effects of technostrain on cynicism and a sense of inadequacy. School support acted as a moderator by buffering the negative impact of technostrain on emotional exhaustion and cynicism. Furthermore, school support was found to be an important job resource in terms of boosting work engagement when ICT availability demands were high.
Originality/value
This study provides insights into the role of resources in buffering possible burdening effects of technology on teacher well-being when adopting online teaching in the context of the Covid-19 pandemic.
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Zijun Lin, Chaoqun Ma, Olaf Weber and Yi-Shuai Ren
The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams…
Abstract
Purpose
The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams and future research directions in SFA.
Design/methodology/approach
The results are obtained using bibliometric citation analysis and content analysis to conduct a bibliometric review of the intersection of sustainable finance and sustainable accounting using a sample of 795 articles published between 1991 and November 2023.
Findings
The most influential factors in the SFA literature are identified, highlighting three primary areas of research: corporate social responsibility and environmental disclosure; financial and economic performance; and regulations and standards.
Practical implications
SFA has experienced rapid development in recent years. The results identify the current research domain, guide potential future research directions, serve as a reference for SFA and provide inspiration to policymakers.
Social implications
SFA typically encompasses sustainable corporate business practices and investments. This study contributes to broader social impacts by promoting improved corporate practices and sustainability.
Originality/value
This study expands on previous research on SFA. The authors identify significant aspects of the SFA literature, such as the most studied nations, leading journals, authors and trending publications. In addition, the authors provide an overview of the three major streams of the SFA literature and propose various potential future research directions, inspiring both academic research and policymaking.
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Xiqiong He, Sibo Wang, Hao Liu and Jiayi Liu
Heterogeneous risk disclosure has been proven to improve the efficiency of new stock issuance, but excessive risk disclosure during the IPO may lead to irrational underestimation…
Abstract
Purpose
Heterogeneous risk disclosure has been proven to improve the efficiency of new stock issuance, but excessive risk disclosure during the IPO may lead to irrational underestimation of the company, which is different from the original intention of management's detailed disclosure. Therefore, this study aims to examine the impact of IPO heterogeneous risk disclosure on earnings management motivations from the information transfer perspective of earnings management.
Design/methodology/approach
The sample includes 2,000 listed companies listed firms on Shanghai and Shenzhen Stock Exchanges from 2007 to 2022. This study uses the pretrained ERNIE model to measure text similarity in the prospectus to measure the heterogeneity of IPO risk disclosure.
Findings
This study empirically finds that heterogeneous IPO risk disclosure suppresses the opportunistic motivation of earnings management because managers tend to use earnings management to leverage information transmission functions. Such an effect is more pronounced in firms with higher analyst attention, lower marketization levels and non-state-owned. And heterogeneous risk disclosure may inhibit management’s over-investment behavior, thereby reducing the possibility of management engaging in opportunistic earnings management. Besides, price discounts are used to distinguish opportunistic and non-opportunistic earnings management and carry out a quasi-natural experimental design to demonstrate that marketization can enhance the relationship between heterogeneous risk disclosure and earnings management.
Originality/value
This study contributes evidence regarding the economic consequences of managerial earnings management behavior related to heterogeneous IPO risk disclosure. It supports highlighted firms in the IPO risk information disclosure to mitigate potential adverse outcomes through earnings management. This contributes to the literature and enhances information transparency in the capital market, fostering the healthy development of China’s capital market.
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Lulu Huang, Conghui Jiao and Qiannan Liu
Migrant workers play a vital role in the development of countries such as China. However, they often face greater barriers in entrepreneurship. Yet, few studies have focused on…
Abstract
Purpose
Migrant workers play a vital role in the development of countries such as China. However, they often face greater barriers in entrepreneurship. Yet, few studies have focused on the effect of institutional factors on migrant workers' entrepreneurial behaviors. To address this gap, this study concentrates on the role of taxation.
Design/methodology/approach
This study takes the agricultural tax abolition reform implemented in rural China since 2004 as an exogenous shock and uses the difference-in-difference (DID) method to examine its effect on migrant workers' entrepreneurship based on longitudinal data from the China Health and Nutrition Survey (CHNS).
Findings
We find that the reform significantly improves the probability of migrant workers engaging in entrepreneurship. Heterogeneity analysis reveals that the reform exerts a notably more pronounced positive impact on male, younger and migrant workers in the Western region. Further analysis reveals that the three main mechanisms are increased household income, female human capital accumulation and increased social capital, including social networks and social trust.
Originality/value
This study is first to offers an institutional perspective on the determinants of migrant workers' entrepreneurship in China. Additionally, the study can provide insights for policymaking intended to support employment and entrepreneurship among low-skill migrant workers.
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Anda Zvaigzne, Lienite Litavniece, Sergejs Kodors and Kristiana Jurkane
The present research study aims to conduct a thematic literature review of the negative impacts of artificial intelligence (AI) on the tourism industry.
Abstract
Purpose
The present research study aims to conduct a thematic literature review of the negative impacts of artificial intelligence (AI) on the tourism industry.
Design/methodology/approach
The research study is based on a comprehensive review of prior research by various authors on AI and its negative consequences in the tourism industry.
Findings
Research indicates that integrating AI technologies in the tourism industry leads to negative consequences. While AI enhances operational efficiency and personalizes customer experiences, it also presents significant challenges, for example, AI replaces labor and the interaction between the tourist and the service provider decreases. New risks are emerging in various areas of tourism that need to be managed to ensure that they do not have negative impacts.
Originality/value
The paper provides a comprehensive review of the negative impacts of AI technologies on the tourism industry, highlighting the need for a balanced approach that integrates human elements with technological advancements. It offers valuable insights into the potential drawbacks of AI, urging stakeholders to consider these challenges when implementing AI-driven solutions in tourism.