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Eco-labeling will grow in importance as natural resources grow scarcer and environmental concerns increase. The purpose of this study considers team collaboration (TC) and integration capability (IC) to examine the possible effects of team member’s shared vision (SV) on the performance of marketing eco-labeled products.

Theoretical perspectives on SV, IC and TC were studied to evaluate the development of eco-labeled products and to improve their marketing performance. A total of 247 eco-label products were sampled; confirmatory factor analysis and structural equation modeling were used for statistical analysis.

The results demonstrate that team members’ SV is positively correlated with TC. Both TC and IC are positively correlated with the performance of eco-labeled product marketing, but SV does not correlate positively with IC. The results herein also demonstrate that TC significantly mediates the effect of SV on the performance of eco-labeled product marketing.

Firstly, this research aimed to study the effects of SV, TC and IC, particularly on the performance of marketing eco-labeled products. The analysis on other organizational performance, for example, human resource management performance or financial performance can be further studied. Secondly, further study of different products is necessary as different eco-labeled products have dissimilar product life cycle patterns. As human environmental concern grows, firms engaging in the manufacture of eco-labeling products will increase significantly and cover many different products. The analyses on different products or applications require further study to elucidate diverse management strategies.

An effective SV can rapidly clarify the goals and directions associated with eco-labeled marketing performance. Managers with high expectations of marketing performance can improve marketing performance when they clearly share eco-labeled product development objectives and directions. Proper IC and TC are also essential to the performance of eco-labeled product marketing.

This study introduces the concept of SV to explain the relationship between TC and IC as they pertain to eco-labeling product marketing. A theory of eco-labeling marketing is also presented.

The crowdfunding market has experienced rapid growth in recent years. However, not all projects are successfully financed because of information asymmetries between the founder and the providers of external finance. This shortfall in funding has made factors that lead to successful fundraising, a great interest to researchers. This study draws on the social capital theory, human capital theory and level of processing (LOP) theory to predict the success of crowdfunding projects.

A feature set is extracted and correlations between project success and features are utilized to order the features. The artificial neural network (ANN) is popularly applied to analyze the dependencies of the input variables to improve the accuracy of prediction. However, the problem of overfitting may exist in such neural networks. This study proposes a neural network method based on ensemble machine learning and dropout methods to generate several neural networks for preventing the problem of overfitting. Four machine learning techniques are applied and compared for prediction performance.

This study shows that the success of crowdfunding projects can be predicted by measuring and analyzing big data of social media activity, human capital of funders and online project presentation. The ensemble neural network method achieves highest accuracy. The investments rose from early projects and another platform by the funder serve as credible indicators for later investors.

The managerial implication of this study is that the project founders and investors can apply the proposed model to predict the success of crowdfunding projects. This study also identifies the most influential features that affect fundraising outcomes. The project funders can use these features to increase the successful opportunities of crowdfunding project.

This study contributes to apply a new machine learning modeling method to extract features from activity data of crowdfunding platforms and predict crowdfunding project success. In addition, it contributes to the research on the deployment of social capital, human capital and online presentation strategies in a crowdfunding context as well as offers practical implications for project funders and investors.

Recent years have witnessed the development of a variety of rating systems but the authors have little knowledge about their impact on users’ perceptions of information quality, cognitive decision effort, and enjoyment. The purpose of this paper is to understand the potential cognitive fit underlining the relationship between rating systems types (i.e. five-star, binary-visual, and binary-textual) and tasks (i.e. purchase-decision and browsing tasks) in the context of shopping websites.

A total of 191 subjects were obtained. This study conducted an experiment with a 2×3 between-subject factorial design. The first dimension is a task that has two conditions (purchasing vs browsing). The second dimension is a type of rating system that has three different types (binary-textual, binary-visual, and five-star).

The results show that the cognitive fit may occur when individuals use a five-star rating system to help them make a purchasing decision and when they use a binary-visual rating system while browsing. This fit might increase perceived information quality while decrease cognitive decision efforts, and in turn raise intention to adopt the systems. Moreover, five-star rating systems can make users feel more fun and enjoyment than binary-textual and visual rating systems, regardless of task type.

This study focuses on three main rating systems that are popular on shopping websites. Nevertheless, few other rating systems exist in the market such as unitary or ten-star rating systems. Further studies can consider other types of rating systems and address, in addition to representation, the issue of information granularity (i.e. unitary, binary, five-star, and ten-star rating systems).

The results of this study could provide design principles for web designers in determining which rating systems best match the websites they are developing. If the websites or specific webpages are more utilitarian oriented (hedonic oriented), five-star rating systems (binary-visual rating systems) are more appropriate.

This study contributes to the rating system literature by examining the cognitive fit underlining the relationship between rating systems types and tasks. Importantly, this study extends cognitive fit theory by considering affective responses, that is, perceived enjoyment and intention to continue to use.

Given the unique cultural-political context of China, this paper aims to investigate two research questions: What has been the development trajectory of policy-making on consumer privacy protection in China, and what factors have shaped its development over the years?

This paper adopts a historical approach and examines the development of Chinese consumer privacy policy during four periods: 1980s, 1990s, 2000s and 2010-present.

Chinese policy-making on consumer privacy protection has made steady advancement in the past few decades due to factors such as technological development, elite advocacy and emulation of other markets; however, the effects of these factors are conditioned by local forces.

To date, most studies of consumer privacy issues have focused on Western countries, especially the European Union and the USA. A better understanding of how consumer privacy policy has developed in China provides important lessons on the promotion of consumer privacy protection in other developing countries.

Online dating services have been growing rapidly in recent years. However, adopting these services may involve high risk and trust issues among potential users toward both online dating services and the daters they introduce to users. The purpose of this paper is to investigate how perceived benefits vs risks, and trust vs distrust affect user adoption vs non-adoption intentions toward using this rather controversial information and communications technology in the context of online dating.

Structural equation modeling was used to evaluate the research model using data from a survey of 451 single individuals.

The results indicated that perceived benefits play more essential roles in adoption, while perceived risks affect non-adoption more. Individuals' trust in online dating service predicts a major portion of the variation in user benefit perceptions, while distrust in online dating service and in daters that users might select significantly influence perceived risks. Moreover, benefit and risk perceptions can mediate the impacts of trust and distrust on both adoption and non-adoption decisions.

This study extends theories of decision-making in the use of controversial information technologies such as in the case of online dating. It investigates the coexistence of various trust and distrust beliefs as well as benefit and risk perceptions, and their different impacts on adoption and non-adoption in online dating services.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.

This paper aims to investigate how ball milling (BM) and load influence transfer film on counterbody and the correlation between transfer film and tribological properties of copper-based composites.

The copper-based mixed powders preprocessed by BM for different times were used to manufacture sintered materials. Specimens were tested by a custom pin-on-flat linear reciprocating tribometer and characterized prior and after tests by optical microscope, scanning electron microscope and energy-dispersive spectroscopy. Image J® and Taylor-hobson-6 surface roughness meter were used to quantify the coverage and thickness of the transfer film.

Main results show that an appropriate amount of BM time and applied load can contribute to the formation of the transfer film on counterbody and effectively improve the tribological properties of the copper-based material. The transfer film coverage is linearly related to the friction coefficient, thickness of transfer film and wear volume. As the transfer film coverage increases, the coefficient of friction decreases. As the thickness of the transfer film increases, the amount of wear increases.

This work intends to control and optimize the formation of transfer film, thereby helping improve the tribological properties of materials and providing a reference to guide the preparation of Cu-based composites with excellent tribological properties.

This paper aims to fabricate a FeS/Cu-Bi copper-based lead-free bearing material to maintain good friction-reducing and anti-adhesive properties under boundary lubrication conditions.

The materials were fabricated by mechanical alloying and powder metallurgy and tested under dry friction conditions using HDM-20 wear tester.

The results show that mechanical alloying can improve the antifriction and wear resistance of the materials. The 6 per cent FeS and 6 per cent Bi in the copper-based bearing materials fabricated by mechanical alloying have a better synergism which contributes to the friction and wear properties of copper matrix.

This new approach solves the problems of Bi and FeS mutual segmentation, mutual agglomeration and poor interface bonding.

Green transition is a long-term direction of corporate development that can achieve sustainable corporate development. This study aims to investigate whether state ownership promotes corporate green transition by mitigating managerial myopia and the impact of environmental regulations, internal controls and ownership on this pathway.

Using data from 2,608 Chinese listed companies for 2010–2019, the authors investigate the relationship between state ownership, managerial myopia and corporate green transition by using fixed-effects and moderated mediation models.

State ownership can boost green transitions and alleviate managerial myopia. Managerial myopia mediates the relationship between state ownership and corporate green transition. Furthermore, environmental regulations, internal controls and ownership moderate the mediating effects of managerial myopia.

The authors construct a multidimensional green transition index to examine the influence of state ownership on corporate green transition behavior and reveal the underlying mechanism by which state ownership promotes green transition by “mitigating managerial myopia.” This study enriches the literature on state ownership, management myopia and green transition and provides important evidence for the promotion of mixed ownership reforms.

The purpose of this study is to develop and examine an integrated mediating model that contains relationship benefits as the relationship antecedents; trust, relationship commitment and gratitude as mediators; and repurchase intention as the relationship consequence in a service business context.

The study recruited 253 respondents to test the proposed model. A partial-least-square-based structural equation modeling was adopted to evaluate the measurement of research constructs and test the research hypotheses that underpinned a proposed conceptual model.

The results show that confidence benefits increase trust more than social and special treatment benefits; social benefits have the most influence on relationship commitment; and special treatment benefits most greatly enhance feelings of gratitude. Thus, depending on the improvement objectives, marketers can accordingly choose the proper relationship benefits as a primary approach. Furthermore, both the direct and indirect effects of confidence benefits and social benefits on repurchase intention were significant.

The main limitation of this study is that all research variables were measured at a static point rather than as they were developing. Ignorance of the temporal sequence may incur the concern of possible spurious causal relationship inferences.

The study’s findings offer several important implications for service providers, which, in this study, were separated into high (e.g. such as hairdressing, beauty and massage) and low personal contact service groups (e.g. telecommunications and equipment maintenance). First, social benefits are more effective at increasing gratitude in the low personal contact service group, and at boosting trust in the high-contact group. Second, special treatment benefits increase gratitude much more in the high-contact group than in the low personal contact group. Third, gratitude has a much stronger effect on repurchase intention in the high personal contact group than in the low-contact group.

The interactions among relationship benefits, mediators (i.e. trust and relationship commitment) and outcomes remain unclear. Although the importance of gratitude as a mediator in relationship marketing (RM) has been shown, little research has examined how relational benefits influence repurchase intention through the combined mediating effects of commitment, trust and gratitude. Therefore, this study advances RM theory by examining the degree of additional explaining power that gratitude contributes to the commitment–trust model. The study also makes a practical contribution by building a research model to understand the nature of mediating roles played by relationship commitment, trust and gratitude in the service industry.