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The purpose of this study is to use vector error-correction modeling together with directed acyclic graphs (DAG) for analyzing dynamic relations among monthly retail property price indices of 10 major cities in China from 2005–2021.

This paper apply both the PC and Linear Non-Gaussian Acyclic Model (LiNGAM) algorithms for inference of the DAG, with the former leading to the causal pattern and the latter leading to the causal path. This paper carry out innovation accounting analysis based on the causal path according to the LiNGAM algorithm.

Their results show sophisticated dynamics among processes of price adjustments following shocks. The results do not reveal clear evidence that supports dominance of the price series of the top-tier cities.

These results suggest that it could be beneficial to design policies at granular levels regarding regional retail property prices in China.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.

This research investigates when and why lower-level leaders counteract interactional injustice after experiencing injustice from their superiors.

Two scenario-based studies were employed to test the hypotheses.

The enactment of injustice by higher-level leaders was found to increase psychological disidentification among lower-level leaders, prompting them to exhibit higher levels of interactional justice, particularly in contexts where justice is seldom rewarded.

This paper extends trickle-down effects research by demonstrating how reactance can interrupt the transmission of injustice from higher-level leaders, suggesting that a reactance-provoking environment can motivate lower-level leaders to act more justly.

Organizations can mitigate the spread of injustice by enhancing middle-level leaders’ awareness of unjust behaviors and fostering a leadership self-concept that emphasizes interactional justice.

This paper clarifies the reversal of the trickle-down process of interactional injustice, contributing to the literature on trickle-down effects and interactional justice.

This study aims to determine the factors affecting the adoption of digital entrepreneurship among the pioneers of private schools in the Nineveh Governorate, using the unified theory of acceptance and use of technology (UTAUT). The study seeks to address an academic problem represented by the low level of interest in the research literature on digital entrepreneurship. By contrast, the problem in the field is the failure of several entrepreneurial organizations, in general, and private schools, in particular.

The researchers chose the private school sector in the Nineveh Governorate, Republic of Iraq, as the field of study. The targeted individuals represented school founders serving as investors and entrepreneurs, totaling 154 participants. The deductive approach was used as the main research method, with the survey approach as a sub-method. A questionnaire was used for data collection, and the researchers used structural equation modeling software, SmartPLS.

The results revealed that constructs such as effort expectation, social influence, facilitating conditions, behavioral intention and experience are factors contributing to predicting the transition to digital entrepreneurship.

This study contributes to bridging the academic gap identified in previous research and addresses the spatial gap by focusing on private schools in the Nineveh Governorate. It aims to assess the level of interest in adopting digital leadership within this context.

One of the most important implications of the results of the current research is the potential expansion of the use of digital entrepreneurship by understanding the behaviors of entrepreneurs. This understanding can have positive outcomes in attracting broad segments of society to engage in this type of work due to its low costs, low risks and the absence of the need for practicing licenses. Such an expansion could contribute to the establishment of digital pioneering projects aimed at reducing unemployment in society. Additionally, this study offers insights that can guide policymakers in the country toward establishing digital business incubators that provide a suitable work environment for initiating and supporting such projects.

The current study presents a unique contribution, represented by using the UTAUT, to identify the acceptance of digital entrepreneurship in private schools in Iraq. This can bring benefits to entrepreneurs and educational policymakers in the country.

This paper aims to examine the influence of environmental concerns and consumers’ knowledge of green brands on their purchasing decisions of green products, utilising green trust as a mediator.

Responses from 383 Indian consumers were collected, which was analysed using descriptive and inferential statistics. The causal relationships between latent variables and mediating effect of green trust were investigated by performing Structural Equation modelling.

Green trust served as a crucial factor in mediating the relationship between environmental concern and green purchase decision. Trust in eco-friendly products significantly influenced the consumers’ decisions to make green purchases. The study further validated that environmental concern significantly influences individuals’ decisions to make green purchases.

The study employed a cross-sectional research design to elucidate the relationship among the factors. However, a longitudinal research design is recommended for further study to ascertain the actual purchase decision and evaluate the reliability of the results.

Marketers can use the study findings to understand consumer knowledge better and trust in green and sustainable products. The proposed model will support marketers and policymakers in developing appropriate marketing strategies as well as facilitate educating consumers about the nuances of green products and the habit of buying eco-friendly products.

Study’s novel contribution is mediation between environmental concern and green purchase decision through green trust.

Migration is on the rise due to globalization and human mobility. This has led to increased impacts that have affected many industries, including the construction industry. A large number of migrants are employed in the construction sector, and employers are challenged to make sure all employees are properly integrated to meet the demands needed for construction projects. This article addresses key differences between migrant and native workers to help hiring departments in the construction industry analyse workers' attitudes based on cultural and motivational factors to have the workforce they need to succeed.

The research used both quantitative and qualitative surveys. A two-part questionnaire, designed through a comprehensive literature review, was carried out to identify key differences between native and migrant workers. The data were obtained and then analysed using different statistical approaches, including factor analysis protocol, factor structure model, reliability analysis, relative importance index and nonparametric test analysis. A semi-structured interview was then conducted to discuss all the findings.

The study indicated that migrant workers, compared to natives, tend to give more importance to their working environment, particularly accommodation, work safety and relations with teammates. Also, migrants typically take a socialistic approach instead of an individual approach while at work and reveal an extensive range of behaviours based on a sense of belonging. It might be more important for migrants to have a place in society, to have a settled life and to be integrated into an established order than to improve their rights and benefits. On the other hand, the study argued that native workers tend to prioritize their benefits at work, such as regular payments for overtime and insurance premiums. Their behaviours might carry a more neutral and individual attitude as well as specific cultural traces.

The study is limited to a sample of participants in the Turkish construction sector. Further research based on more cultural models and motivational factors with a larger group of respondents from different countries could offer better results. The results of the study might not apply to a broad context due to many other factors that affect worker behaviours, such as geography, cultural structures and working conditions. Despite these drawbacks, the present paper may help employers and other stakeholders understand the best way to incorporate migrants into the construction industry.

This research is very important for the construction industry in various countries that are currently employing thousands of migrants. Being able to address the key differences between migrants and native workers based on cultural and motivational factors might help with engagement and create a level of harmony in the field for greater productivity.

The term “Insider CEO” refers to actor in the top management at corporate level who has the advantage of having better information regarding a company’s resources to make investment decisions. This study aims to examine the relationship between insider chief executive officers (CEOs) and investment efficiency in emerging economies.

The authors comprises sample of nonfinancial companies listed on the Indonesia Stock Exchange during the period of 2011–2021, using an archival approach through regression analysis.

This study demonstrates a significant negative relationship between insider CEOs and investment efficiency. In addition, audit quality as the firm audited by BIG4 accounting firm changes the direction of previously negative findings, turning them into significant positive relationships, and audit quality acts as a moderating factor on the insider CEOs and investment efficiency nexus. Furthermore, the authors conducted a series of endogeneity and robustness tests to strengthen the results of this study.

This study offers new ideas in the investment literature and its practice in companies, where it highlights the role of the existence of an insider CEO in practice on investment efficiency. The authors provide recommendations to companies, potential investors and policymakers regarding the potential for insider CEOs to influence investment returns that tend to be less efficient. Therefore, this study proves that the presence of an insider CEO has a higher risk-taking preference, which has the potential to influence less efficient investment practices.

Several previous studies have focused more on the role of CEOs who come from outside the company and their impact on investment practices. However, it is not clear whether insider CEOs will influence the company’s investment efficiency practices driven by the perspective of “risk preferences and investment returns”. To the best of the authors’ knowledge, this is the first study to substantiate the role of CEOs based on their origin and their impact on less efficient investment practices.

The purpose of this study is to conduct a comprehensive review of ChatGPT in the education sector. By delving into the published literature, the research aims to uncover the benefits, drawbacks, present applications and prospective uses of ChatGPT for various stakeholders.

The research employs quantitative methodologies. Utilizing the Scopus database, the authors applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to gather data. Additionally, the study includes a bibliometric analysis conducted through the VOSviewer visualization tool and R Studio to achieve the research objectives.

ChatGPT is making a transformative impact on the education sector. A thorough literature review revealed that ChatGPT has several benefits and drawbacks for students and educators. Additionally, the study sheds light on present applications of ChatGPT and explores its prospective uses for its key stakeholders.

PRISMA methodology in systematic reviews faces challenges in handling publication bias and evaluating study quality. Systematic reviews are limited by their inability to comprehensively cover all relevant research and depend on the quality of included studies. Bibliometric analyses may oversimplify research landscapes, neglecting qualitative insights. The research relies on existing literature, introducing potential biases due to varied accessibility. The study’s focus on the Scopus database and time constraints may exclude recent significant studies.

The study has several recommendations for educational institutions, students, educators, administrative staff and ChatGPT service providers. These recommendations collectively aim to provide comprehensive guidance to stakeholders, fostering an environment where ChatGPT can effectively transform the education sector.

This research conducts a comprehensive examination of ChatGPT in the education sector, with a primary emphasis on exploring its prospective uses for students, educators and administrative staff. By highlighting the potential benefits, the study aims to provide key stakeholders with opportunities to leverage ChatGPT for the transformation of the education sector.

The study aims to investigate the impact of social media influencer information overload (SMIIO) on customer purchase avoidance through mediation of customer confusion along with the moderation of prior product knowledge through the stressor-strain-outcome (SSO) framework.

The data collected from 429 participants (YouTube and Instagram followers) from an online survey were analyzed using structural equation modeling.

The findings reveal that SMIIO significantly leads towards customer purchase avoidance. Customer confusion mediates between SMIIO and purchase avoidance, while prior product knowledge weakens the impact of SMIIO on confusion through moderation.

The findings provide a wide range of applications for brand managers and social media influencers to adopt clear, concise communication strategies. Reducing information overload and minimizing confusion can enhance consumer decision-making. Tailored messaging based on consumer product knowledge can further optimize marketing efforts and reduce purchase avoidance.

This study uniquely applies the SSO framework to examine the effects of SMIIO on purchase avoidance, highlighting the mediating role of customer confusion and the moderating influence of prior product knowledge, offering a fresh perspective on consumer behavior.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.