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The study aims to investigate the impact of industrial robot application on corporate labor cost stickiness and labor investment efficiency in China.

Using the textual analysis to construct firm-level industrial robot application indicators in China, we implement the methodology in Anderson et al. (2003) and Banker and Byzalov (2014) to estimate cost stickiness.

We argue that the industrial robot uses in China would increase firms’ labor adjustment costs by increasing the employment scale and upgrading the employment structure (i.e. by employing more high-skilled and high-educated labor). Consistent with our expectation through the channel of labor adjustment costs, the use of robotics increases firms’ labor cost stickiness. We further find that the positive impact is more significant among labor-intensive industries, and among state-owned enterprises with lower labor adjustment flexibility. We also find that industrial robot uses do not decrease the labor cost stickiness even when robots are more likely to substitute labor. Finally, we find that industrial robot uses significantly facilitate more efficient hiring practices by mitigating overinvestment in labor (i.e. over-hiring).

Against the backdrop of intelligent manufacturing worldwide, our study sheds new insight into the effects of new technologies on corporate labor cost behavior in developing countries. We contribute to scant studies examining how robotics, AI adoption or other automation technologies (e.g. specialized machinery, software, etc.) affect corporate cost behavior.

There are two purposes in this paper. The first one is to explore the impact mechanisms and paths of service-oriented manufacturing (SOM) on the sustainability performance of green manufacturing firms and to pay particular attention to the mediating role of enterprise costs in the relationship between the two. The second one is to reveal the dynamic process and laws of SOM influencing on the sustainability performance of green manufacturing enterprises.

This paper employs a combination of dynamic and static research from two aspects. On the one hand, based on 495 green manufacturing firms in China, the authors verify the SEM of SOM, enterprise cost and sustainability performance of green manufacturing firms through empirical research, analyze the path relationship and mediation effect, and demonstrate its complex impact mechanism. On the other hand, the authors use agent-based modeling and simulation to reveal the dynamic influence of SOM on the sustainability performance of green manufacturing enterprises and explore its dynamic laws and future development trends.

The study results indicate that (1) SOM has a direct positive effect on firm sustainability performance. (2) Reducing firm costs has a positive effect on firm sustainability performance, and firm costs play a partial mediating role in the mechanism by which SOM influences firm sustainability performance. (3) The dynamic impact of SOM on sustainability performance increases significantly over time. (4) Significant firm heterogeneity exists in the process by which SOM improves sustainability performance. (5) There are differences in the promotion of SOM for economic performance, environmental performance and social performance.

This paper makes two main contributions. First, compared with previous research on sustainability performance focusing on a certain dimension, this paper organically integrates the three dimensions of sustainability performance, regards them as a whole and considers the paths to improve sustainability performance. Second, this paper focuses on the complex relationship among SOM, enterprise costs and sustainability performance and reveals different sustainability performance improvement paths and dynamic impact processes, thereby expanding and deepening previous research on sustainability on the subject. These contributions lead to a better understanding of the driving forces and realization path for green manufacturing firms' sustainability performance from an integrated static and dynamic perspective.

This study aims to examine blockchain's effect on the accounting profession. In other words, this study seeks to answer whether blockchain can affect the accounting profession.

The statistical population of this study comprises two groups. The first group includes accountants and external auditors working for Iranian audit firms, and the second group consists of accounting professors. Finally, 743 participants are selected as the research sample using the Cochran sample selection method. In this study, partial least square tests are used to examine the effect of the independent variable on dependent variables.

The results of this study demonstrate that blockchain has a positive and significant effect on the payroll system, risk management and financial systems. Moreover, the results indicate that blockchain does not affect the audit process.

As no research has yet examined the effect of blockchain on the accounting profession in Iran, the results of this study can provide the public with helpful information and add to the relevant literature.

This study aims to develop a production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings. The study enables meeting building clients’ unique floor plan requirements at an optimal cost and simultaneously enhances manufacturers’ profit by minimising material and manufacturing process waste.

The present research uses a hybrid approach consisting of field data collection, mathematical modelling, development of a Genetic Algorithm (GA) and scenario analysis. Field data includes engineered timber production information, design data and building code requirements. The study adopts the Flexible Demand Assignment (FDA) technique to formulate a mathematical model for optimising the design of mass timber buildings and employs GA to identify optimal production solutions. Scenario analysis is performed to validate model outputs.

The proposed model successfully determines the load-bearing wall placement and building spans and specifications of floor panels that result in optimal production efficiency and the desired architectural layout. The results indicate that buildings made of a single category of thickness of panels but customised in various lengths to suit building layout are the most profitable scenario for CLT manufacturers and are a cost-effective option for clients.

The originality of the present study lies in its mathematical and model-driven approach towards implementing mass customisation in multi-storey buildings. The proposed model has been developed and validated based on a comprehensive set of real-world data and constraints.

This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM).

The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors.

The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables.

The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations.

By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.

This study examines investigating the relationship between cash flows, working capital ratios and firm performance during the global financial crisis.

To examine the relationship between cash flow, working capital ratios and firm performance for EU-28 or Western European Countries (Norway, Turkey and Switzerland) listed firms, both panel and ordinary least squares (OLS) regression model are used to analyze the data obtained from sample.

The study empirical findings suggest that global financial crisis has negative effect on firm performance for all sample. In addition, our interaction term result shows that cash flows variables such as cash holding level (CHL) × Crisis, cash interactive effect (CIE) × Crisis and gross working capital ratio (GWC) × Crisis not contributed to firm performance for EU-28 listed firms. However, the authors find that net working capital ratio (NWC) × Crisis have statistically significant and positive effects on firm performance with return on assets (ROA).

The findings of the study provide evidence for managers that listed firms have reduced working capital expenditures to increase cash holdings level during the financial crisis. The authors find that cash flow variables with CHL have positive effect on firm performance with return on equity (ROE) in Western European Countries and these results are consistent with Opler et al. (1999)'s empirical results, while CIE have a negative impact on firm performance such as ROE and earnings before interest tax margin (EBITM).

Global financial crisis emphasizes the importance of working capital and liquidity that suggests an efficient cash holdings policy in response to the uncertainty following the crisis.

Corporate site visits increase labor investment efficiency.

Our empirical model for the baseline analysis follows those of Jung et al. (2014) and Ghaly et al. (2020).

We show that corporate site visits are associated with significantly higher labor investment efficiency; more specifically, site visits reduce both over-hiring and under-hiring of employees. The effect of site visits on labor investment efficiency is more pronounced for firms with higher labor adjustment costs, greater financial constraints, weaker corporate governance and lower financial reporting quality. We also find that site visits mitigate labor cost stickiness.

First, while the literature has suggested how the presence of institutional investors and analysts may affect labor investment decisions, we focus on institutional investors and analysts’ activities and interactions with firm executives. We provide direct evidence that institutional investors and analysts may use corporate site visits to improve labor investment efficiency. Second, our study adds to a line of recent studies on how corporate site visits reduce information asymmetry and agency conflicts. We show that corporate site visits allow institutional investors and analysts to influence labor investment efficiency. We also provide new evidence that corporate site visits reduce labor cost stickiness.

Critical examination of Bangladeshi laws related to workers’ rights in the garment industry. This paper aims to examine the impact of foreign direct investment (FDI) on the protection of garment workers’ rights in Bangladesh, analyzing how international investment practices influence labor standards and the overall well-being of workers in the garment industry.

In this study, qualitative and analytical methods has been used to analyze legal frameworks related to labor rights in Bangladesh and BITs.

The findings indicate a need to strengthen the current legal framework to better protect workers' rights in Bangladesh. The study also provides recommendations for the relevant authorities to improve the existing laws.

Novel idea critically evaluating the Bangladeshi legal framework in the context of foreign direct investment and implications for worker's rights.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.

Prior literature on the cultural determinants of cash holdings focuses on time-invariant cultural variables measured at the geographical level. These measures of culture do not capture the firm-level variation in corporate culture. Using a validated time-variant measure of firm-level corporate culture, specifically teamwork, we examine the effect of teamwork on a firm's cash holdings.

In this paper, we explore the effect of corporate teamwork culture on firms' cash holdings. Using sudden CEO turnover as an exogenous shock to a firm's teamwork culture, we find teamwork increases cash holdings. Also, we test and find two channels—financial constraint and agency—and two new labour-related channels—human capital quality and labour inefficiency—through which teamwork culture affects cash holdings. Our results are robust to endogeneity tests.

We find that teamwork increases the cash holdings of firms. We find that a firm with a high teamwork culture has higher cash holdings: an increase of one standard deviation in teamwork leads to a 14.6% rise in the mean cash holdings.

To our knowledge, our study is the first to introduce the firm-level teamwork cultural construct as a determinant of cash holdings.