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This paper investigates the impact of quasi-exogenous and substantial increases in the minimum wage on child labor outcomes in Türkiye. The study aims to provide empirical evidence on how minimum wage policies affect child labor outcomes in a developing country context, with a focus on gender and age differences. It seeks to understand whether minimum wage increases lead to a reduction in child labor and whether the impact is different for various demographic groups.

The research employs a difference-in-differences methodology using data from the 2012 and 2019 Child Labor Force Survey in Türkiye. The treatment group consists of children from households with minimum wage earners, while the control group comprises children from other households. Various labor market outcomes are analyzed, and robustness checks are performed.

Our findings indicate that while the overall effect of minimum wage increases on child labor is statistically insignificant, there are notable heterogeneous impacts across different demographic groups and employment sectors. Specifically, we observe a significant reduction in the employment probability of girls under the age of 15 and unpaid family workers. Additionally, the likelihood of younger children being wage earners decreases, and the minimum wage increase reduces employment in the agriculture and services sectors for certain subgroups. The impact is also more limited for children in single-adult-worker households.

These results underscore the varying effects of minimum wage policies on child labor and highlight the importance of considering demographic and sectoral differences in policy formulation. Policymakers should complement such policies with income-generating programs and targeted education initiatives to address child labor issues more comprehensively and sustainably.

This study fills a critical gap in the limited international literature on the causal effects of minimum wage policies on child labor incidence. One notable exception, Menon and van der Meulen Rodgers (2018) have explored the impact of minimum wage on child labor in India using regional variation, our study uniquely analyzes the effects at the household level in Türkiye. This approach provides valuable insights into how minimum wage changes affect child labor outcomes in a developing economy context with a high prevalence of minimum wage earners. It also contributes to the broader economic understanding of child labor and household income dynamics.

Family farms, in which business and family life are intricately interwoven, offer an interesting context for better understanding the interdependence between the family and business system. Many family farms struggle to survive, and the succession process is a key period in which the low returns on investment become evident but also the emotional attachment of the family to the farm and the willingness to transfer the business to the next generation. We take the perspective of non-succeeding siblings since they are crucial for a successful succession but their role and position in this process is far from clear. This study will help to increase our knowledge of how fairness is perceived by non-successors and of the impact of perceived (in)justice on the family business system.

To analyze the effect on sibling relationships of an unequal outcome of the succession process, we choose the family farm context. We used interview data from multiple family members from several family farms in the Netherlands in different stages of succession. We utilized a framework based on justice theory to analyze perceptions of fairness among non-succeeding siblings. The central research question for this study is as follows: How do non-succeeding siblings perceive justice with regard to family firm succession?

The acceptance of the outcomes of the succession process by non-succeeding siblings is influenced by their perception of the fairness of the process itself and decisions made by the incumbent and successor with regard to these outcomes. It seems that stakeholders who occupy multiple roles with conflicting justice perspectives handle these contradictions with the help of an overarching goal—in this study, preserving the continuity of the family farm—and by prioritizing and adjusting the justice perspectives accordingly. The findings further show that both distributive justice and procedural justice are important and interact with each other.

Our study contributes to the literature by applying the theoretical framework of distributive and procedural justice to the context of family farm succession. This helps us to understand the position of non-succeeding siblings and their role and position in the succession process, which is important because sibling relationships have a significant impact on family harmony, with potential consequences for the business as well.

This research aims to investigate the interplay between individuals’ health status and their level of trust in both smart health-care systems and health-care providers and how these factors influence the decision to use such systems.

Drawing upon institution-based trust and affordance theories, the authors developed and empirically examined a research model using a sample from a prominent US university.

The findings reveal that both types of trust, specifically trust in smart health-care systems and trust in health-care providers, positively influence the intention to use these systems. Additionally, the authors identified that health status plays a dual moderating role in this context. It positively moderates the relationship between trust in health-care system providers and the intention to use, suggesting that individuals with better health are more inclined to use smart health-care systems when trust in providers is high. Conversely, health status negatively moderates the relationship between trust in the system and the intention to use it. This implies that trust in the system exerts a more pronounced influence on the intention to use the system among individuals with lower health status. This heightened impact can be attributed to the increased necessity for the system’s benefits among this group.

While the power analyses suggest our sample size is sufficient, caution is warranted when interpreting the study’s conclusions. These results have substantial implications for researchers and providers of smart health-care systems. They underscore the intricate dynamics between trust, health status and technology use, offering valuable insights for future investigations in this domain. Furthermore, they guide the design and implementation of smart health-care systems, emphasizing the need to consider the nuanced influence of health status on trust and use intentions.

Past research has focused on individuals’ trust in understanding the adoption of smart health-care systems; however, it did not consider how individuals’ health status can moderate their trust and intention to adopt such systems. In this study, the authors close this gap by investigating the moderating role of health status in the relationships between two types of trust and intention to use smart health-care systems through the lens of institution-based trust theory and affordance theory.

The purpose of this study is to shed light on the job resources and demands of employees working in virtual teams and the impact of these job factors on their work engagement levels. Specifically, the authors focus on identifying the differing significance of employee job resources and demands on their virtual work engagement levels.

A qualitative approach grounded on abductive analysis is used to arrive at the findings. The methods for data collection include participant observation and semistructured interviews of 27 software engineers in the Indian information technology sector, working with virtual teams.

The authors identified the virtual-work-induced job demands and resources. Primarily, the authors found 14 job factors related to high and low levels of individual virtual work engagement, and classified them under eight aggregate dimensions: psychosocial hurdles, collaboration challenges, leadership and operational issues, dehumanization under job demands, supportive leadership, personal resources, alternate sources of income and learning goal orientation under job resources. Consequently, the authors built an importance–frequency work engagement map based on how these job factors are related to low and high levels of work engagement.

This study’s qualitative nature limits the generalizability of the findings. Hence, further studies are encouraged to corroborate the findings. There is also a possibility of the social desirability bias that could have affected the results as participants may have perceived an element of risk in sharing all their honest feelings and perceptions. This may have especially been the case for those with higher status or positions in the company.

The findings suggest practical measures either to engage employees in their free time or to improve loyalty. There is a clear potential for the organization and virtual leader to communicate effectively about the expected goals, arrange informal interactions and reduce scrutiny of monitoring, thereby increasing the remote workers’ resources.

The originality of this study comes from multiple factors. First, the authors highlight ta contextual adaptation of the job demands-resources (JD-R) model into a virtual team context. By extension, the authors examine “how much” does both the job resources and demands contribute to the wellbeing of the employees working in virtual teams. Second, the authors construct an importance–frequency work engagement map (specifically for the virtual work context) based on the findings, which categorizes the observed resources and demands into four quadrants. The authors propose that this map could be a possible extension to the JD-R model, highlighting the differing significance of each resource and demand to employee work engagement.

This study aims to examine the role of employee experience in influencing employee well-being and turnover intentions within organizations. The mediating role of well-being will also be investigated, along with an exploration of whether these relationships differ across genders, specifically in the Indian corporate context.

A descriptive, quantitative study was conducted using structured questionnaires to gather data from 111 employees in the Indian corporate sector. The study used a non-probability judgment sampling method. Data was analyzed through SPSS for descriptive and inferential statistics, and partial least squares was used to explore mediation and model fit.

The study found a significant impact of employee experience on well-being, as well as a negative correlation between both employee experience and turnover intention and well-being and turnover intention. Well-being was found to partially mediate the relationship between employee experience and turnover intention. Gender-based analysis revealed no significant differences in the relationships between these variables for men and women.

This research highlights the universal applicability of employee experience as a predictor of well-being and turnover intention, irrespective of gender. By establishing that gender does not moderate these relationships, this study provides new insights challenging traditional assumptions about gender disparities in workplace outcomes.

Existing studies have been conducted to explain the process of digital transformation. This work aims to identify the paradoxes encountered by companies in undertaking digital transformation and the role of digital affordances in overcoming these paradoxes.

This study uses rich empirical data from four traditional Chinese manufacturers that have successfully achieved digital transformation to explain how companies can overcome the digital transformation paradox with the help of digital affordances.

The authors identify the paradoxes that traditional companies encounter when carrying out data transformation based on the experience of four Chinese traditional manufacturing enterprises that have successfully achieved digital transformation – the paradox of flexibility and stability of organization structure, the paradox of cost and profit and the paradox of perception between executives and employees. Based on this, we propose three digital affordances that play an important role in overcoming the digital transformation paradoxes – digital decentralization, digital agility and digital citizenship.

This study identifies three forms of critical digital affordances and introduces citizenship into digital transformation contexts.

Adopting digital transformation is changing the methods through which companies' function, generating novel possibilities and difficulties that force firms to adjust to remain competitive in the digital era. It is critical for firms to embrace this change and utilize technology to develop a more flexible, proactive and effective approach as digital transformation continues to advance at an accelerating pace. Vietnam has been placed at the forefront of these changes in attracting investments and becoming a hub of international trade. As a result, Vietnamese firms have been implementing restructuring and adopting digital transformation to remain competitive with the flow of foreign investment. This paper aims to examine the effects of digital transformation on corporate restructuring in Vietnam. The authors then investigate the moderating role of corporate governance in the digital transformation – corporate restructuring nexus.

The authors employ content analysis to extract information from the annual reports of 747 Vietnamese listed companies, where the authors focus on specific phrases, such as “digitalization”, “big data”, “cloud computing”, “blockchain” and “information technology” over a period of 11 years, from 2011 to 2021. The frequency count of these keywords is calculated to represent the level of digital transformation for the Vietnamese listed firms. A final sample of 118 Vietnamese listed firms with sufficient data is selected for the analysis using the generalized method of moments (GMM) approach.

The results indicate that digital transformation and corporate governance negatively impact corporate restructuring when their effect on corporate restructuring is examined independently. However, corporate governance strengthens the effect of digital transformation on corporate restructuring.

This paper is one of the first to investigate the moderating role of corporate governance on the effect of digital transformation on corporate restructuring in Vietnam. The findings inspire listed firms in Vietnam to implement digital transformation during their corporate restructuring to enhance performance.

Chatbots are increasingly embodied in business and IS contexts to enhance customer and user experience. Despite wide interest in chatbots among business and IS academics, surprisingly, there are no current comprehensive reviews to reveal the knowledge structure of chatbot research in such areas.

This study employed a mixed-method approach that combines systematic review and bibliometric analysis to provide a comprehensive synthesis of chatbot research. The sample was obtained in December 2023 after searching across six databases: EBSCOhost, PsycINFO, Web of Science, Scopus, ACM Digital Library and IEEE Computer Society Digital Library.

This study reveals the major trend in publication trends, countries, article performance and cluster distribution of chatbot research. We also identify the key themes of chatbot research, which mainly focus on how users interact with chatbots and their consequences, such as users’ cognition and behavior. Moreover, several important research agendas have been discussed to address some limitations in the current chatbot research in business and IS fields.

The present review is one of the first attempts to systematically reveal the ongoing knowledge map of chatbots in business and IS fields, which makes important contributions and provides useful resources for future chatbot research and practice.

This study aims to design and validate a decision support system (DSS), named preliminary risk assessment of brownfield sites (PRABS). It is intended that the proposed DSS will aid the identification of potential hazards and, in doing so, highlight challenges facing those stakeholders dealing with the decision-making on brownfield site redevelopments, where the examples of diverse stakeholders would include, for instance, risk assessors, local planning authorities, regulator, developers, civil engineers, architectures, landowners, investors and alike. Moreover, the DSS will enable them to promote safer redevelopment and minimise the risks to future occupants of brownfield sites and neighbouring lands, on the top of the tool being communal platform of an effective communication between them as it is for both experts and non-experts.

This research employs a comprehensive five-stage process, integrating both quantitative and qualitative methods and utilizing mixed methods for a nuanced exploration of data. The initial stage involves an in-depth examination of contemporary risk assessment tools for contaminated sites, setting the foundation and benchmarks for subsequent stages. Stage two focuses on creating a conceptual framework using insights from existing literature to guide the development of the DSS tool. Stage three introduces a validation mechanism through a questionnaire administered to experts. Stage four involves the active development of the DSS tool, transforming theoretical constructs into a practical application. The final stage, stage five, employs quantitative data analysis and case studies to validate, refine and enhance the DSS tool’s applicability in real-world scenarios, ensuring its approval.

This study presents PRABS, a user-friendly DSS for the PRABS. Validation through a quantitative online survey indicates strong support for PRABS, with around 80% of participants willing to recommend it due to its ease of use and information quality. Qualitative data analysis using real-life case studies further demonstrates the tool’s effectiveness. PRABS proves valuable in identifying hazards during the preliminary stage, accurately predicting potential contaminants despite limited input data in the case studies. The tool’s hazard identification aligns well with expert judgments and case study reports, confirming its practical utility.

This study has several limitations. First, the DSS identifies only hazards associated with one layer of site geology, even though sites may include multiple layers, which limits the comprehensiveness of the hazard identification process. Second, adopting an online survey approach posed challenges in achieving a high response rate and gathering a representative sample, making it uncertain how the results might vary with a higher number of professional participants. This limitation affects the generalisability of the findings. Finally, while this study identified 65 potential hazards associated with brownfield sites, this number could be expanded to include hazards related to plants, animals and air, indicating the need for a more inclusive approach to hazard identification. Given these limitations, future research should focus on addressing these gaps.

The contributions of this study offer practical benefits. Firstly, it enables the initial risk assessment process to be more comprehensive and integrated and reduces complexity in the risk assessment process by ensuring that all probabilities, along with their significance, are identified at the initial stage of the risk assessment. This could be a strong starting point for successfully conducting a more detailed risk assessment and remediation. Secondly, the developed PRABS can promote effective environmental communication among stakeholders, which should speed up the planning process and help develop brownfield sites more efficiently and effectively, while preserving the natural environment.