Adilson Carlos Yoshikuni, Rajeev Dwivedi, José Eduardo Ricciardi Favaretto and Duanning Zhou
The study aims to investigate how enterprise information systems strategies-enabled strategy-making (ISS-SM) influences organizational agility (OA) via the mediated role of…
Abstract
Purpose
The study aims to investigate how enterprise information systems strategies-enabled strategy-making (ISS-SM) influences organizational agility (OA) via the mediated role of IT-enabled dynamic capabilities (ITDC) under environmental dynamism (ED). The study also investigates natural country moderation associated with the business context of the countries where the respondents are located might influence these relationships.
Design/methodology/approach
The study aims to investigate how enterprise ISS-SM influences OA via the mediated role of ITDC under ED. The study also investigates natural country moderation associated with the business context of the countries where the respondents are located that might influence these relationships.
Findings
The results demonstrate that ISS-SM influences ITDC to gain OA independent of the ED level. Indian and Brazilian firms show no different effects in the relationship of the research model. However, post hoc analysis revealed that strong ISS-SM on OA is fully mediated by ITDC under higher ED with a substantial coefficient of determination, more prominent for Indian firms characterized by young-age and middle-size firms, agribusiness and government sectors.
Research limitations/implications
The fundamental to enabling practice and praxis of the strategy-as-practice approach to OA gains mediated through ITDC in different business context conditions.
Originality/value
The research contributes to extending the literature on the enterprise information systems strategy and information technologies capabilities.
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Yezhong Fang, Xiaotian Ji, Xingquan Zhang, Jun Wang, Bin Chen, Shiwei Duan, Jinyu Tong, Guangwu Fang and Shanbao Pei
The purpose of this paper is to investigate the dynamic forming process of the micro dent fabricated by laser shock processing on 2024-T3 aluminum alloy. The effect of laser pluse…
Abstract
Purpose
The purpose of this paper is to investigate the dynamic forming process of the micro dent fabricated by laser shock processing on 2024-T3 aluminum alloy. The effect of laser pluse energy on the deformation of micro dent was also discussed in detail.
Design/methodology/approach
It uses finite element analysis method and the corresponding laser shocking experiment.
Findings
The results demonstrate that the dynamic formation process of micro dent lasts longer in comparison with the shock wave loading time, and the depths of micro dents increase with the increasing laser energy. In addition, laser shocking with higher energy can result in more obvious pileup occurred at the outer edge of micro dent.
Originality/value
Surface micro dents can serve as fluid reservoirs and traps of the wear debris, which can decrease the effects of the wear and friction in rolling and sliding interfaces. The investigations can not only be propitious to comprehensively understand the forming mechanism of laser-shocked dent, but also be beneficial to get sight into the residual stress field induced by laser shocking.
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The purpose of this paper is to obtain an iterative algorithm to find the solution of the coupled Sylvester-like matrix equations.
Abstract
Purpose
The purpose of this paper is to obtain an iterative algorithm to find the solution of the coupled Sylvester-like matrix equations.
Design/methodology/approach
In this work, the matrix form of the conjugate direction (CD) algorithm to find the solution X of the coupled Sylvester-like matrix equations:
Findings
It is proven that the algorithm converges to the solution within a finite number of iterations in the absence of round-off errors. Finally, four numerical examples were used to test the proficiency and convergence of the established algorithm.
Originality/value
The numerical examples have led the author to believe that the generalized CD (GCD) algorithm is efficient and it converges more rapidly in comparison with the CGNR and CGNE algorithms.
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The purpose of this paper is to investigate the sales impact of different types of online word-of-mouth based on their source (user vs critic) and form (structured vs…
Abstract
Purpose
The purpose of this paper is to investigate the sales impact of different types of online word-of-mouth based on their source (user vs critic) and form (structured vs unstructured).
Design/methodology/approach
The paper proposed a model by adopting the heuristic-systematic perspective of information processing and tested it using online movie reviews collected from Rotten Tomatoes. A unique dataset was constructed, which matched critic reviews and user reviews with metadata such as box-office sales and advertisement spending for 90 movies. Sentiment information from the textual contents of both user and critic reviews were text-mined and extracted. Data analyses were used to compare the box-office responsiveness of four types of reviews: user numeric ratings, user text reviews, critic numeric ratings and critic text reviews.
Findings
Critic reviews and user reviews influence sales through different forms: while user reviews impact sales through their aggregate numeric ratings, critic reviews exert their impact through textual narratives.
Practical implications
This study provides managerial implications to businesses on how to allocate their resources on different social media-related marketing strategies to maximize the economic value of online user-generated information.
Originality/value
The major contribution of this study is to extend the current understanding of the sales impact of online reviews to their textual aspect, as well as investigate how these textual narratives play different roles when offered by critics and users.
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Pinsheng Duan and Jianliang Zhou
Near misses are important references for the construction industry to move toward zero injuries, and are of great significance in reducing accidents and improving safety…
Abstract
Purpose
Near misses are important references for the construction industry to move toward zero injuries, and are of great significance in reducing accidents and improving safety education. To fully improve the construction industry's understanding and standardize the management process of near-miss events, this paper describes a systematic review of the research front and intellectual basis of near-miss events based on scientometric technique and CiteSpace.
Design/methodology/approach
The authors reviewed and summarized the research wave and definitions of near-miss events in construction. The science mapping approach is used to conduct quantitative analyses of 120 relevant articles published between 2009 and 2019. Three research themes are identified via author analysis, keyword analysis and co-citation analysis: the construction of near-miss management systems, near-miss events research and characteristic research.
Findings
It is found that improving the data collection method to maximize the quality of near-miss reports, optimizing and verifying the event analysis model considering the characteristics of near-miss events in construction, establishing a more comprehensive framework for the analysis of near-miss events and building a highly inclusive technology integration platform are the four main development directions for the future.
Originality/value
According to Heinrich's law, incidents are mainly blamed on near-miss events such as workers' unsafe behaviors. Due to the complexity and variability of the construction site, near-miss events in construction may have different features. This article helps promote the understanding of near misses in academia, standardizing the management process of near-miss events, which is conducive to mining the potential value of such events in practice. Some insights into the research front and the intellectual base of near-miss research in construction are proposed.
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Jiang Qin and Björn Albin
Due to social transformation in China, more than 100,000,000 people are migrating within the country. Many parents are forced to leave their children behind when they migrate. In…
Abstract
Due to social transformation in China, more than 100,000,000 people are migrating within the country. Many parents are forced to leave their children behind when they migrate. In 2008, 58,000,000 children were living as left‐behind children, mainly in the rural parts of China (Zhang, 2009).Migration and its accompanying stressors may affect the mental health of the left‐behind children. This unique literature review of Chinese literature summarises the present state of knowledge and reviews the influential factors. Possible approaches to intervention and system reforms are discussed.A literature review was performed of published studies between 2001 and 2008. Databases used were Fujian Medical University Library Interface, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Information. The Chinese word for ‘left‐behind’ was used as a key word. Books, book chapters, monographs and studies on caring were searched electronically and by hand. Altogether, 53 items were found, discussed and grouped together. Migration affected the mental health of the left‐behind children in a passive way, especially their emotions and social behaviour.There is still controversy over how serious mental health problems are among children who have been left behind. Life events, personality, coping strategies and social suppor t can be regarded as four main factors that are predictive of mental health, which provides theoretical guidance for intervention. Suppor t and prevention of mental health problems in schools, in families and in primary care should be developed and studied.
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Pinsheng Duan, Jianliang Zhou and Wenhan Fan
Effective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less…
Abstract
Purpose
Effective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less attention to the relationship between workers' personalized characteristics and their learning needs, which results in workers' low learning participation and poor training effect. The purpose of this paper is to improve the participation and effect of safety training for construction workers with a persona-based approach.
Design/methodology/approach
This paper presents a persona-based approach to safety tag generation and training material recommendation. By extracting the demographic characteristics and behavior patterns tags of construction workers, a neural network algorithm is introduced to calculate the learning needs tags of workers, and the collaborative filtering recommendation method is integrated to enrich the innovation of recommendation results. Offline experiments and online experiments are designed to verify the rationality of the proposed method.
Findings
The results show that the learning needs of workers are closely related to their background. The proposed method can effectively improve workers' interest in materials and the training effect compared with conventional safety training methods. The research provides a theoretical and practical reference for promoting active safety management and achieving worker-centered safety management.
Originality/value
First, a persona-based approach is introduced to establish a novel framework for solving the problem of personalized construction safety management. Second, an artificial intelligence algorithm is used to automatically extract the learning needs tag values and design a hybrid recommendation method for construction workers' personalized safety training. The collaborative filtering method is integrated to enrich the innovation of recommendation results.
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Boris Urban, McEdward Murimbika and Dennis Mhangami
As a consequence of global changes, the landscape of immigration is changing. This brings opportunities for researching more nuanced aspects related to immigrant entrepreneurship…
Abstract
Purpose
As a consequence of global changes, the landscape of immigration is changing. This brings opportunities for researching more nuanced aspects related to immigrant entrepreneurship in new contexts. The purpose of this paper is to establish the extent to which Africa-to-African immigrants leverage their social capital and human capital towards improving the success of their entrepreneurial ventures.
Design/methodology/approach
First-generation immigrant entrepreneurs within the Johannesburg area in South Africa were surveyed (n = 230). Instrument validity and reliability was first established, and then the hypotheses were tested using multiple regression analyses.
Findings
Hypotheses are supported insofar African immigrant entrepreneurs in South Africa rely on their structural and resource-related dimensions of social capital to achieve entrepreneurial success. Furthermore, human capital in terms of both work experience and entrepreneurial experience was found to be a significant predictor of entrepreneurial success.
Research limitations/implications
There is value in developing policies that promote African immigrant entrepreneurs with higher levels of human and social capital. These African immigrants have the potential to increase the national skills base and knowledge required for successful entrepreneurship development in South Africa.
Originality/value
While both human capital and social capital have been associated significantly with the generic entrepreneurship literature, this paper provides an empirical contribution by focusing on the relevance of these constructs in the context of immigrant entrepreneurship from an African emerging market perspective.
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Enqin Gong, Yousong Wang, Xiaowei Zhou and Jiajun Duan
Environmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance…
Abstract
Purpose
Environmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance quality. However, there is a lack of research on the ESG aspects of the asset sustainability of infrastructure Real Estate Investment Trusts (REITs), particularly in terms of how ESG affects asset sustainability and their intrinsic relationships. Therefore, this study aims to explore the ESG factors affecting the asset sustainability of infrastructure REITs and their intrinsic linkages, in order to enhance the long-term sustainability of the asset.
Design/methodology/approach
The study employed structural equation modeling (SEM) to analyze the relationship between ESG factors and the sustainability of infrastructure REITs, through a comprehensive literature review and questionnaire survey to collect data. This method aims to provide a quantitative analysis framework to assess the impact strength and interactions of these factors.
Findings
The 11 ESG factors positively influence the sustainability of infrastructure assets. Specifically, carbon emission management, information disclosure and infrastructure asset management have the most substantial impacts, with path coefficients of 0.830, 0.814 and 0.817, respectively. Measures such as optimizing resource use, enhancing transparency and improving operational efficiency contribute to increased asset sustainability. Also, interviews indicate that asset managers and corporate executives with overseas educational backgrounds play a crucial role in the ESG management of infrastructure assets. Sustainability can be enhanced by promoting sustainable technologies and enhancing cross-cultural communication.
Practical implications
The results offer guidance for infrastructure REIT managers and policymakers, emphasizing the importance of strengthening specific ESG practices to enhance sustainability. This provides an empirical basis for optimizing ESG policies and practices, helping to advance infrastructure REITs towards more sustainable development directions.
Originality/value
This study offers new insights into the field of ESG for infrastructure REITs in China by providing specific analysis of ESG factors and applying SEM. The originality of this study lies in its deep exploration of the specific impact factors within the ESG dimensions and quantifying their relationship with sustainability, offering strong scientific support for the sustainable development practices of infrastructure REIT.
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Mehdi Dehghan and Masoud Hajarian
The purpose of this paper is to find two iterative methods to solve the general coupled matrix equations over the generalized centro‐symmetric and central antisymmetric matrices.
Abstract
Purpose
The purpose of this paper is to find two iterative methods to solve the general coupled matrix equations over the generalized centro‐symmetric and central antisymmetric matrices.
Design/methodology/approach
By extending the idea of conjugate gradient (CG) method, the authors present two iterative methods to solve the general coupled matrix equations over the generalized centro‐symmetric and central antisymmetric matrices.
Findings
When the general coupled matrix equations are consistent over the generalized centro‐symmetric and central anti‐symmetric matrices, the generalized centro‐symmetric and central anti‐symmetric solutions can be obtained within nite iterative steps. Also the least Frobenius norm generalized centrosymmetric and central anti‐symmetric solutions can be derived by choosing a special kind of initial matrices. Furthermore, the optimal approximation generalized centrosymmetric and central anti‐symmetric solutions to given generalized centro‐symmetric and central anti‐symmetric matrices can be obtained by finding the least Frobenius norm generalized centro‐symmetric and central anti‐symmetric solutions of new matrix equations. The authors employ some numerical examples to support the theoretical results of this paper. Finally, the application of the presented methods is highlighted for solving the projected generalized continuous‐time algebraic Lyapunov equations (GCALE).
Originality/value
By the algorithms, the solvability of the general coupled matrix equations over generalized centro‐symmetric and central anti‐symmetric matrices can be determined automatically. The convergence results of the iterative algorithms are also proposed. Several examples and an application are given to show the efficiency of the presented methods.