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The purpose of this paper is to build a research model from the perspectives of entrepreneur and entrepreneurial opportunity examining the effects of entrepreneurial growth aspiration and the innovativeness of entrepreneurial opportunity and their interactive effect on the business planning in the new venture emergence.

Six hypotheses are put forward and examined by hierarchical multiple linear regression and multiple logistic regression. The data of this paper are based on the first two rounds of survey data from Chinese Panel Study of Entrepreneurial Dynamics.

The empirical results show that entrepreneurial growth aspiration has significant positive effects on the business planning, namely, compared to the comfortable size entrepreneurs, the growth-oriented entrepreneurs are more likely to do the business planning in the new venture emergence. Different from prior discoveries, the innovativeness of opportunity has no effect on the business planning, but it positively influences the time of doing business planning, and entrepreneurial growth aspiration has a positive moderate effect on this relationship.

Entrepreneurial growth aspiration in this paper is divided into growth-oriented entrepreneur and comfortable size entrepreneur from the single perspective of scale. Future research should define growth aspiration as a continuous variable in light of several dimensionalities.

The findings are useful for entrepreneurs to make rational and effective decisions whether to do business planning and when to do on the basis of their growth aspiration and the innovativeness of opportunity. The growth-oriented entrepreneur should do the business planning in the new venture emergence. The higher innovative the opportunity is, the latter the entrepreneur had better do the business planning. Besides, it provides the theoretical foundation for entrepreneurship training courses about business planning offered by governments, educational institutions and social training institutions.

This paper absorbs growth aspiration into the analysis framework about business planning based on expectancy theory, making up for deficiencies that prior researches excessively focus on entrepreneurial experience and opportunity. Additionally, the study will inspire scholars to research the mechanism of action relative to business planning from the interactive relationship between entrepreneur and entrepreneurial opportunity.

Concentrated ownership implies greater alignment between ownership and control, mitigating the agency problem. However, it may also engender governance challenges such as funds appropriation through related party transactions and the oppression of minority shareholders, especially in the context of weak legal systems. We draw from legal theory (the tradeoff controlling shareholder model and private benefits of control) and from organization theory (socioemotional wealth), to suggest that concentrated ownership can be beneficial in both robust and weak legal systems for different reasons. We advance theory on the effects of controlling shareholders and suggest that the longer-term outlook associated with engaged concentrated ownership can aid the shift of the corporation toward Berle and Means' (1932, p. 355) “third possibility” of corporations serving the interests of not just the stockholders or management but also of society.

The aim of this study is to predict one of the key performance indicators used to improve continually production systems using machine learning techniques known by the ability to teach the machine to perform complex things as opposed to simple statistical methods by giving this machine the historical dataset, according to the kind of machine learning the authors will use, the machine will be able to predict a new output data from the input data given by the user.

This work is divided into six sections: In the first section, the state of art for OEE, machine learning, and regression models. In the second section, the methodology, followed by an experimental study conducted in an automotive company specialised in the manufacturing of manual transmissions.

The three models show a very high accuracy (higher than 99%), a comparison between these three models was done using three indicators, namely mean absolute error (MAE) mean square error (mean squared error and mean absolute percentage error which shows that the best model is the least angle followed by Bayesian Ridge and automatic relevance determination regression.

As the authors can see many works were done in the different production systems for prediction, the most relevant works were done to predict a parameter in the production system such as The prediction of part thickness in aluminium hot stamping process with partition temperature control the prediction of CO₂ trapping performance the prediction of crop yield the prediction of lean manufacturing in automotive parts industry the contribution of the work will be to use the machine learning techniques to predict the key performance indicator “used to measure manufacturing efficiency” which is the overall equipment effectiveness used in the authors’ case to measure the improvement of the production system.

The paper aims to explore and examine the factors that influence the post-consumption behavioral intentions of education consumers with the help of online reviews from a Massive Open Online Course (MOOC) platform in the knowledge payment context.

The paper adopted a novel mixed-method approach based on natural language processing (NLP) techniques. Variables were identified using topic modeling drawing upon 14,585 online reviews from a global commercial MOOC platform (Udemy.com). The relationships among identified factors, such as perceived quality dimensions, consumption emotions, and intention to recommend, were then tested from a cognition-affect-behavior (CAB) perspective using partial least squares structural equation modeling (PLS-SEM).

Results indicate that course content quality, instructor quality, and platform quality are strong predictors of consumers' emotions and intention to recommend. Interestingly, course content quality displays a positive effect on invoking negative emotions in the MOOC context. Additionally, positive emotions mediate the relationships between three perceived qualities and the intention to recommend.

Limited research has been conducted regarding MOOC consumers' post-consumption intentions in the knowledge payment context. Findings of this study address the limited literature on MOOC qualities and consumer post-consumption behaviors, which contribute to a comprehensive understanding of MOOC learners' experiences at a meso-level for future paid-MOOC creators.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2021-0482/

Rotational speed and load-carrying capacity are two mutual coupling factors which affect high precision and stable operation of a hydrostatic thrust bearing. The purpose of this paper is to study reasonable matching relationship between the rotational speed and the load-carrying capacity.

A mathematical model of relationship between the rotational speed and the load-carrying capacity of the hydrostatic bearing with double-rectangle recess is set up on the basis of the tribology theory and the lubrication theory, and the load and rotational speed characteristics of an oil film temperature field and a pressure field in the hydrostatic bearing are analyzed, reasonable matching relationship between the rotational speed and the load-carrying capacity is deduced and a verification experiment is conducted.

By increasing the rotational speed, the oil film temperature increases, the average pressure decreases and the load-carrying capacity decreases. By increasing the load-carrying capacity, the oil film temperature and the average pressure increases and the rotational speed decreases; corresponding certain reasonable matching values are available.

The load-carrying capacity can be increased and the rotational speed improved by means of reducing the friction area of the oil recess by using low-viscosity lubricating oil and adding more oil film clearance; but, the stiffness of the hydrostatic bearing decreases.

This paper investigates how relative environmental regulation influences the flow of foreign direct investment (FDI), and thereby assesses the pollution haven hypothesis (PHH). In this field, conflicting results exist, partly due to the mere consideration of absolute environmental regulation or the inadequate consideration of endogeneity. Concerning these, we study China’s inward FDI from 26 developed countries and 12 developing countries over 1996–2009, and collect four different environmental regulation indicators at relative values of CO₂, SO₂, PM10, and an environmental regulation index. Using an instrumental variable approach, we find strong PHH evidence no matter for the subsample of FDI from developed countries or the one from developing countries. Moreover, we show how such results can be masked if failing to consider the endogeneity.

The purpose of this paper is to examine the role of frontline service employees (FSEs) motivation (enjoyment of work and driven to work) and ability (customer service ability) in the relationship between TFL and employee service performance.

This is a survey-based study which involves 534 FSEs and 135 supervisors in a hair salon setting. Hierarchical regression analysis was used to test the proposed hypotheses.

Results show that TFL is significantly related to employee service performance; this relationship is enhanced with the presence of driven to work; yet, it is neutralized with the presence of enjoyment of work. Further, the three-way interaction of TFL, enjoyment of work and customer service ability as well as TFL driven to work, and customer service ability are negatively associated with employee service performance.

The results advance service managers’ understanding of the importance of FSEs motivation and ability if they are to fully reap the benefits from their FSEs. The role of leader is not always effective in all situations. FSEs with high level of enjoyment of work and customer service ability would least rely on the guidance and support from the supervisors.

This research is one of the first to examine the role of subordinate’s characteristics (motivation – enjoyment of work and driven to work and ability – customer service ability) as the key moderators in the relationship between TFL and employee service performance.

The purpose of this paper is to threefold. The first purpose is to review and critically analyze corporate sustainability development (CSD) research in China. Second, the paper extracts a unified theoretical framework among CSD drivers, CSD practices, and corporate performance in China. Finally, it seeks to identify links between CSD and industrial management and data systems (IMDS) topics.

A comprehensive and structured review of the research literature investigating CSD in China was completed. Categorizations and classifications of the literature were summarized. A critical analysis of the literature resulted in a generic theoretical framework that can be used for evaluation of the literature and further investigation.

The literature review found over 189 papers on CSD in China published from 1997 to 2013. The framework developed focussed on relationships among drivers, practices, and performance within a CSD in China context. The framework provides useful insights into the implementation of CSD practices. The integration of the three dimensions of sustainability and decision-making methodology are still rare. Specific features of CSD are also reviewed with a linkage to IMDS research around information technology, business process modeling, and supply chain management.

This is one of the first works to provide a comprehensive focus on CSD in China. The theoretical framework was developed for CSD in China to clarify the relationships between the drivers, the corporation’s characteristics, CSD practices, and corporation performance and will prove useful for future research development and investigation. The linkage to IMDS topics is novel and will help further research related to CSD in China for this journal.

The demand for the cold chain logistics of agricultural products was investigated through demand forecasting; targeted suggestions and countermeasures are provided. This paper aims to discuss the aforementioned statement.

A Markov-optimised mean GM (1, 1) model is proposed to forecast the demand for the cold chain logistics of agricultural products. The mean GM (1, 1) model was used to forecast the demand trend, and the Markov chain model was used for optimisation. Considering Guangxi province as an example, the feasibility and effectiveness of the proposed method were verified, and relevant suggestions are made.

Compared with other models, the Markov-optimised mean GM (1, 1) model can more effectively forecast the demand for the cold chain logistics of agricultural products, is closer to the actual value and has better accuracy and minor error. It shows that the demand forecast can provide specific suggestions and theoretical support for the development of cold chain logistics.

This study evaluated the development trend of the cold chain logistics of agricultural products based on the research horizon of demand forecasting for cold chain logistics. A Markov-optimised mean GM (1, 1) model is proposed to overcome the problem of poor prediction for series with considerable fluctuation in the modelling process, and improve the prediction accuracy. It finds a breakthrough to promote the development of cold chain logistics through empirical analysis, and give relevant suggestions based on the obtained results.

In response to increasing concerns about climate change and evolving public policies, consumer behaviour and attitudes are shifting towards the adoption of renewable energy solutions like photovoltaic (PV) panel systems. This study aims to address this shift by developing a conceptual framework grounded in the Unified Theory of Acceptance and Use of Technology and Diffusion of Innovation theory. The framework identifies and analyses the factors influencing Vietnamese consumers’ decisions to install PV panels, focusing on the roles of consumer innovativeness, government incentives and social influence. By examining these dynamics, this study offers insights to inform policy in promoting renewable energy adoption.

Data from 339 Vietnamese households were analysed using SmartPLS 3.0 to test the proposed hypotheses. A structured questionnaire survey focused on consumer innovativeness, government incentives and social influence. The partial least squares structural equation modelling approach was used to evaluate the relationships between constructs.

The findings indicate that consumer innovativeness significantly predicts knowledge, sustainable lifestyles and attitudes towards solar PV panels. Moreover, household attitudes are influenced by government incentives and knowledge, but not by sustainable lifestyles. Crucially, the intention to install solar PV panels among Vietnamese households is positively affected by facilitating conditions, government incentives and social influence.

The results can assist government officials and policymakers in emerging markets in devising strategies to alleviate environmental burdens and facilitate a shift towards sustainability. Furthermore, by understanding the factors impacting the residents’ intention, public communication can be improved to raise awareness of environmental concerns and sustainable lifestyles, which results in the encouragement of the purchase and installation intention of solar panels.