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The purpose of this paper is to examine the use of financial information and valuation methods among private equity funds in Europe and India. The authors analyze differences in the choice of valuation methods and how the use of financial information differs among funds in the UK, Pan Europe and India.

A survey approach was utilized in collecting proprietary data from European and Indian private equity funds. The data were classified according to fund type, country grouping, size, risk profile, labor cost and industry structure and analyzed using MANOVA and ANOVA.

The results show that the use of valuation models is relatively homogeneous across countries and that the use of financial information appears to be driven to a large extent by fund type and fund focus. The use of audited financial statements appears to increase as firms mature. Significant differences were found in standard financial adjustments between the two fund types and between the country groupings. Results based on labor cost are weakly significant whereas industry structure does not appear to have an impact on how fund managers evaluate investments.

The results indicate that fund managers adapt their decision‐making behavior according to investment type and risk. The authors argue that understanding asymmetrical and structural issues may potentially improve investment decision‐making processes. The main conclusion for researchers is that buy‐out and venture capital funds should not be combined as one asset class. Since a survey approach was used, the study is subject to the belief that fund managers do not internalize decisions well, which could reduce the effectiveness of the research design.

There are few studies in the areas covered by this paper due to the proprietary nature of the private equity industry. The results are important because they help in understanding how fund managers use decision aids such as financial statements and valuation techniques. A better understanding of current practices will help fund managers and fund sponsors in devising improved decision aids and processes, which ultimately may lead to fewer non‐performing investments. This is especially important in private equity since investment decisions are often irreversible and binary.

The process of fostering and enhancing employee creativity (EC) is multifaceted and involves various challenges and contradictions, with paradoxical leadership (PL) playing a crucial role. However, previous research has neglected the importance of employee emotions, resulting in an incomplete understanding of the underlying mechanisms. To address this gap, this study draws upon the triadic reciprocal determinism of social cognitive theory to construct a moderated mediation model. The objective is to investigate the mediating role of harmonious work passion (HP) in the relationship between PL and EC. Furthermore, the study aims to explore the moderating effect of proactive personality (PP).

Two surveys were carried out in eight enterprises situated in China. A total of 337 employees took part in the questionnaire survey to explore the correlation between PL, PP and HP. Additionally, 42 supervisors participated in evaluating the creativity of their subordinates. To test the proposed hypotheses, this study utilized hierarchical regression analysis on a sample of supervisor-subordinate pairs.

Paradoxical leadership is positively correlated with employee harmonious work passion. Harmonious work passion is positively correlated with employee creativity. Harmonious work passion plays a mediating role between paradoxical leadership and employee creativity. Proactive personality moderates the relationship between paradoxical leadership and harmonious work passion. Proactive personality moderates the indirect effect of harmonious work passion on the relationship between paradoxical leadership and employee creativity.

The results of this study provide practical suggestions for improving EC. For example, organizations can select supervisors who exhibit PL qualities and enhance the training programs for leaders in the domain of paradoxical thinking. Furthermore, it is crucial for leaders to prioritize the development of employees' HP and to be attentive to the distinct individual variations present within their workforce.

This study enriches the research on the mediating and moderating mechanism between PL and EC and opens the black box from the perspective of emotion. Moreover, this research examines the boundary condition under which PL functions. The study reveals the interaction of environment, personality, cognition and emotion on creativity and provides a new perspective and empirical support for future research.

With high-speed urbanization and strict requirements on energy conservation and environmental protection, eco-city has become the priority of urban development in China. Governments of all levels promote various eco-city planning schemes within a short term, but most schemes are characterized by randomness and subjectivity. To solve the lack of scientific pre-implementation evaluation for eco-city planning and improve eco-city construction quality, a systematic analysis is conducted in this study from three dimensions, namely, eco-city planning scheme, operating mechanism, and guarantee measures. A 3D evaluation model for eco-city planning is constructed through index selection. Schemes are ranked comprehensively with the distance measure method, and projection analysis is performed with the four-grid evaluation screen. Finally, the 3D evaluation model is applied to evaluate eco-city planning for Shenzhen, Chongqing, and Weifang. Results show that the model can be used to evaluate eco-city planning schemes effectively and comprehensively and offers targeted optimization suggestions in accordance with the evaluation results. Construction of the 3D evaluation model of eco-city planning based on the distance measure to determine the reasonability of eco-city planning reduces the institutional and social costs of eco-city planning practices.

Due to ginger holds a special and indispensable place in Chinese cuisine, understanding consumers’ preferences for organic ginger is of significance, especially given the growing interest in organic food products and sustainable agriculture. This study thus examines Chinese consumers’ preference for fresh ginger and the sources of their preferences heterogeneity for organic ginger consumption.

The study is using choice experiment (CE) method and mixed logit (MXL) modeling with 1,312 valid samples. The participants are regular consumers who are 18 years old or above and had bought fresh ginger within the past 12 months.

The results show that consumers prefer organic product certification labeling ginger to conventional ginger, preferred to purchase ginger at wet markets to at supermarkets or online, and preferred either ginger with regional public brand or private brand to unbranded ginger. Results also indicate that age, education level, income, purchasing experience of organic and branded ginger, and cognition of ginger health benefits are the sources of heterogeneity in consumer preferences for organic ginger.

This study contributes to ginger growers, marketers and policy makers. This study tracks how consumers' preferences change under different attribute combinations, capture the complex preference structure of consumers, and help reveal the motivations behind consumers' preferences for organic ginger. These findings will be crucial for developing marketing strategies, promoting organic products, and meeting consumer needs.

This article aims to propose guidelines to develop moderation hypotheses, assess moderators using the multigroup analysis and interaction effect approaches and interpret the results of moderation analysis in tourism and hospitality research.

Through a review of 600 articles published in top tourism and hospitality journals from the year 2016 to 2020, and reviewing the literature related to moderation analysis, this study identifies key issues in different steps of moderation analysis and proposes robust guidelines to aid future research.

The results of the systematic review uncovered some key issues in different steps of moderation analysis, such as hypothesis development, moderation assessment and results interpretation. The findings emphasized the typical methodological misconceptions and improper practices for moderation analysis.

Moderation analysis is of great significance to the advancement of theory, and its application has increased significantly in recent years. However, many studies appear to have a limited understanding of moderation analysis and follow questionable practices regarding hypothesis development, moderation assessment and results interpretation, thus leading to suspicious conclusions for theory advancement. By highlighting these methodological issues, this article provides robust guidelines for moderation analysis, which is of great theoretical and methodological significance to the academic research in tourism and hospitality.

As one of the first studies to provide robust guidelines for moderation analysis, based on a critical and systematic review of papers published in top-tier journals in tourism and hospitality and the latest developments on moderation analysis in the wider literature, this article has important theoretical and methodological significance for the academic research in tourism and hospitality as well as general social science disciplines.

The influence of the cam angular speed on the pressure, film thickness and temperature profiles at some selected angular positions together with the oil characteristics are investigated.

A high-order polynomial cam is used, and thermal elastohydrodynamic lubrication (EHL) calculations are carried out by the multi-grid method and line-line scanning technique.

It is found that the film thickness decreases with a decrease in angular speed. The depth of the dimple that occurred in the reverse motion is also reduced because of the recession in the “temperature–viscosity wedge” effect.

It is revealed that the reduction in the cam angular speed makes the classical big surface dimple evolve into a small centralized dimple during the opposite sliding motion.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2019-0327

The rapid advancement of digital transformation requires a shift in firms’ focus from past met needs to both latent future and unmet past needs. However, how boundary-spanning search with future orientation and past orientation affects breakthrough innovation remains unclear. This study thus aims to investigate the relationship between boundary-spanning search and breakthrough innovation from the perspective of search orientation.

In terms of search orientation, this study divides boundary-spanning search into forward-looking search and backward-looking search. Drawing on resource-based view, this study develops a theoretical model in which big data analytics capability moderates the effects of forward-looking and backward-looking searches on breakthrough innovation. Empirical analyses were conducted on data from China’s advanced manufacturing firms. Research model and hypotheses were tested through multiple regression.

The results confirm that forward-looking search has a positive effect on breakthrough innovation, and big data analytics capability strengthens this positive effect. Furthermore, backward-looking search has an inverted U-shaped effect on breakthrough innovation. Interestingly, as big data analytics capability increases, this inverted U-shaped curve flattens and becomes almost linear.

This study uncovers the different effects of boundary-spanning search with different orientations on breakthrough innovation and extends the research on the relationship between boundary-spanning search and breakthrough innovation by incorporating search orientation. Furthermore, by demonstrating the moderating role of big data analytics capability, this study provides a crucial condition under which boundary-spanning search can enhance breakthrough innovation.

Wheeled mobile robots (WMR) are the most widely used robots. Avoiding obstacles in unstructured environments, especially dynamic obstacles such as pedestrians, is a serious challenge for WMR. This paper aims to present a hybrid obstacle avoidance method that combines an informed-rapidly exploring random tree* algorithm with a three-dimensional (3D)-object detection approach and model prediction controller (MPC) to conduct obstacle perception, collision-free path planning and obstacle avoidance for WMR in unstructured environments.

Given a reference orientation and speed, the hybrid method uses parametric ellipses to represent obstacle expansion boundaries based on the 3D target detection results, and a collision-free reference path is planned. Then, the authors build on a model predictive control for tracking the collision-free reference path by incorporating the distance between the robot and obstacles. The proposed framework is a mapless method for WMR.

The authors present experimental results with a mobile robot for obstacle avoidance in indoor environments crowded with obstacles, such as chairs and pedestrians. The results show that the proposed hybrid obstacle avoidance method can satisfy the application requirements of mobile robots in unstructured environments.

In this study, the parameter ellipse is used to represent the area occupied by the obstacle, which takes the velocity as the parameter. Therefore, the motion direction and position of dynamic obstacles can be considered in the planning stage, which enhances the success rate of obstacle avoidance. In addition, the distance between the obstacle and robot is increased in the MPC optimization function to ensure a safe distance between the robot and the obstacle.

Thermal performances are key factors impacting the operation of angular contact ball bearings. Heat generation and transfer about angular contact ball bearings, however, have not been addressed thoroughly. So far, most researchers only considered the convection effect between bearing housings and air, whereas the cooling/lubrication operation parameters and configuration effect were not taken into account when analyzing the thermal behaviors of bearings. This paper aims to analyze the structural constraints of high-speed spindle, structural features of bearing, heat conduction and convection to study the heat generation and transfer of high-speed angular contact ball bearings.

Based on the generalized Ohm’s law, the thermal grid model of angular contact ball bearing of high-speed spindle was first established. Next Gauss–Seidel method was used to solve the equations group by Matlab, and the nodes temperature was calculated. Finally, the bearing temperature rise was tested, and the comparative analysis was made with the simulation results.

The results indicate that the simulation results of bearing temperature rise for the proposed model are in better agreement with the test values. So, the thermal grid model established is verified.

This paper shows an improved model on forecasting temperature rise of high-speed angular contact ball bearings. In modeling, the cooling/lubrication operation parameters and structural constraints are integrated. As a result, the bearing temperature variation can be forecasted more accurately, which may be beneficial to improve bearing operating accuracy and bearing service life.

As an important part of the rotor system, the damping coefficient of ball bearing has a great influence on the dynamic characteristics of the system. This study aims to propose a theoretical calculation method and an experimental test method to obtain the damping coefficient of ball bearing.

Based on Hertzian contact theory and elastohydrodynamic lubrication theory, the point contact oil film damping analysis model of ball bearing is established. The comprehensive damping calculation method considering external radial load, centrifugal force, ball spin, rotational speed and lubricating oil film is derived. The multigrid method is used to obtain the oil film pressure and thickness distribution in the contact zone. The variation trend of comprehensive damping with bearing radial load, rotational speed, oil film thickness and viscosity is analyzed. The test platform is designed and the influencing factors of damping are tested.

The validity of the model and reliability of the test device are verified by comparing the good consistency obtained in the work. The results show that the comprehensive damping of ball bearing increases with the increase of radial load and decreases with the increase of rotational speed.

At present, the existing bearing damping model can achieve approximate calculation of damping, but the factors considered in these models are not comprehensive enough. Besides, few studies exist regarding test platform of bearing damping, and a perfect test plan has not yet been formed. In this paper, the comprehensive damping calculation model of ball bearing is improved, and a complete experimental scheme is proposed to provide reference for the comprehensive damping theory and experimental research of bearing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2019-0342/