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Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.

Night lighting reflects the prosperous development of economic and the increasingly rich and colorful cultural life. Currently, various technical standards, protocols and management specifications have been developed to build a safe, comfortable and economical lighting environment. However, prevailing evaluation systems focus on objective indexes of illumination and have ignored environmental characteristics and subjective feelings and lacked consideration of regional culture, economic benefit, management and maintenance. In this context, a lighting evaluation system combining subjective and objective is proposed for the first time in this study to explore approaches to guide the development of a healthy and comfortable urban night-time environment.

Existing research and relevant lighting standards are analyzed and an evaluation model with a logical hierarchy is constructed by combining with the evaluation theory that is set based on people and the environment. The index weights were scientifically determined on the basis of the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method. The rationality and validity of the proposed evaluation system is verified in accordance with field projects and case studies.

Taking into account traditional and cultural factors, the evaluation model established has an acceptable accuracy. Evaluation based on subjective-objective combination can provide a scientific basis for the management and optimization of night lighting.

The proposed evaluation system can serve as a guiding reference for other areas of cultural identity and esthetic perspective.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.

The purpose of this study is to examine the impact of cross-ownership on corporate digital innovation and their specific mechanisms. Cross-ownership, who hold equity in two or more companies simultaneously, have two different types of governance effects in the capital market: governance synergistic effects and competitive collusion effects.

This paper uses a panel model, selecting A-share company data from 2011 to 2021 in China. In total, 23,853 valid data were obtained, which came from the CSMAR database and Wind database. For some missing data, they were manually supplemented by consulting the company's annual report and Sina Finance. Data processing was conducted using EXCEL and Stata16.0 software.

The results show that cross-ownership promote corporate digital innovation by leveraging governance synergies. Further grouping tests show that the synergistic effects of cross-ownership are significant in non-state-owned, high-tech, weakly competitive and higher analyst attention enterprises. Mechanism testing shows that cross-ownership can empower corporate digital innovation in three ways: reducing information asymmetry, alleviating financing constraints and improving corporate governance.

The conclusion of this paper provides new empirical evidence for a comprehensive understanding of the role of cross-ownership in corporate development, enriches the economic consequences research of chain institutional investors in China and broadens the research perspective of corporate digital innovation. It also provides important references for the digital transformation of enterprises and the healthy development of the capital market.

This study aims to enhance the current framework for decision-making regarding foreign direct investment (FDI) in developing countries, with consideration of the trend toward decentralized power.

The study uses static and dynamic panel data regression covering a period of 13 years (2010–2022) related to regencies and municipalities. The period includes the evolution of all 18 Indonesian Special Economic Zones (SEZs). This study integrates regional competitiveness factors such as local government capital expenditure, democratic, social welfare and economic fundamentals.

This paper argues that the level of government involvement should be decided according to the phase of SEZ development, the type of policy being implemented (countercyclical or procyclical), and the complexity of the FDI policy. These factors will determine the degree of interference, whether extensive or modest.

The paper analyses the application of New Keynesian and public expenditure theory to address the complex variables involved in local-level FDI decisions, which have been insufficiently studied in emerging countries.

The paper does not include a comprehensive explanation of the complex processes that lead to improvements in wages.

The study aims to analyze research trends and hotspots in the field of food and nutrition literacy to inform evidence-based policymaking, and promote the health and well-being of the general population.

The Scopus database was used to retrieve relevant research articles using specific keywords related to food or nutritional literacy.

The analysis included 341 research articles, predominantly authored by scholars from the USA. Growth pattern of publications indicated recent evolution of the food and nutrition literacy concepts. The research hotspots identified included the development of tools to assess literacy, assessing food and nutritional literacy competencies among school children and adolescents and finally, cross-sectional survey studies on various international cultures to assess food and nutritional literacy. The top cited articles in the field focused on the operational definition and difference between nutrition literacy and food literacy.

The findings underscore the need for comparative studies across countries, and advocacy for policy change to advance food and nutrition literacy among school students and vulnerable populations.

Policymakers, public health officials and practitioners can use the research findings to inform the development of evidence-based policy frameworks and interventions aimed at addressing the gaps in food and nutrition literacy.

By promoting and advocating for policy reforms, and addressing gaps in food and nutrition literacy, the study contributes to fostering global future public health.

The study provides insights into the evolving research landscape on food and nutrition literacy, emphasizing the growing scholarly interest in understanding the concept and its public health impact.