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Despite concerns about the effect of internet addiction, little is known about how psychological suzhi impacts the internet addiction of college students. This paper aims to investigate the relationship between psychological suzhi and internet addiction among college students.

Using the college student psychological suzhi scale and internet addiction test, 2,070 college students from 11 universities in North China, East China, South China and Southwest China were tested.

The detection rate of internet addiction in this college sample of students was 18.8%. There was a significant negative correlation between students’ psychological suzhi and internet addiction (r = −0.408, p < 0.01). Hierarchical regression analysis showed that adaptability and individuality in psychological suzhi significantly negatively predicted college students’ internet addiction tendency (p < 0.001).

This study is the first to show a relationship between psychological suzhi and internet addiction in college students. In detail, the adaptability and individuality of college students’ psychological suzhi are protective factors related to internet addiction. The results also suggested that the authors can prevent and intervene in internet addiction by modifying college students’ adaptability and individuality.

This study aims to investigate the impacts of service category (utilitarian vs hedonic) on chosen degree of uniqueness (CDOU) and consumers' willingness to pay more (WTPM), as well as the moderating roles of consumers' narcissism trait (high vs low) and processing mode (rational vs experiential) on the relationship between service category and CDOU.

This study conducts one online experiment-questionnaire study and one between-subject lab experiment to test the hypotheses.

This study finds that consumers are more likely to choose unique choices in hedonic service customization. Consumers' CDOU has a positive effect on their attitudes toward WTPM. In addition, consumers' processing mode moderates the relationship between service category and CDOU.

The findings provide new insights into better understanding the factors affecting the choice of service customization and have significant practical implications. First, consumers' different desire for uniqueness of different service should not be neglected when examining the values of service customization. Second, high-level CDOU is quite prevalent for hedonic (vs utilitarian) service customization, especially for consumers with experiential processing mode.

While previous studies state “need for uniqueness” as a key characteristic of product customization in general, we extend it to intangible service customization and connect it with consumers' WTPM. In addition, the moderating role of individual trait and decision-making processing mode is also checked. Thus, the findings refine the existing understanding of the relationship between uniqueness and service customization.

Chinese firms were operating within a closed economic environment before the “opening up” in the late 1970s, but it has only been in the late 1990s that China has recognized the importance of innovation. The Chinese government has attempted to rectify this liability by providing funding to assist Chinese firms in developing innovation capability by increasing R&D collaborations and employing external experts. The purpose of this paper is to study the innovation of Chinese firms by examining how internal and external resources interactively impact the innovation capability.

Panel data collected from Chinese manufacturers are used to test the hypothesized relationships.

The results have shown that the interplay between internal and external resources exhibits differential patterns of impact on innovation capability. The authors discover different moderating patterns of the two types of external resources: visiting experts are helpful in enhancing the effects of internal human resources, while R&D collaborations are useful in exploiting internal financial and physical resources, even when the main effect of financial resources on innovation capability is not significant.

The study contributes to the literature by providing empirical evidences on the roles of absorbed external resources and knowledge to catalyze internal resources in building up innovation capability in an emerging economy.

The purpose of this paper is to explore the properties of platform service innovation and its relationship to value co-creation activities and the network effect. This is done over the course of a platform’s evolution through three stages: emergence, expansion and maturity.

Based on grounded theory, this study adopts a multiple case study research design. An in-depth analysis of the case data is done using ATLAS.TI software.

At the emergence stage, platform service innovations focus on building infrastructure. Platform owners stimulate the network effect directly via platform service innovations, rather than indirectly via value co-creation activities. At the expansion stage, the platform service innovations focus on building relationships among platform owner and different sides of participants. Platform owners stimulate the network effect indirectly, via value co-creation activities, rather than directly via platform service innovations. At the maturity stage, platform service innovations focus on building an environment for the platform ecosystem. Platform owners stimulate the network effect indirectly, via value co-creation activities rather than directly.

This research contributes to the service innovation literature by exploring the properties of platform service innovation and its relationship to value co-creation activities and the network effect from a longitudinal perspective. The principal managerial implication is that platform managers need to consider the developmental stage of the platform, as a mismatching of stage of development (emergence/expansion/maturity) and focus (an orientation toward building infrastructure, relationships or environment) may lead to a failure to stimulate or enhance the network effect.

Online reviews increasingly present the characteristic of bidirectional communication with the advent of Web 2.0 era and tend to be asymmetrical and individualized in linguistic information. The authors aim to develop a new linguistic conversion model that exploits the asymmetric and personalized information from online reviews to express such linguistic information. A new online recommendation approach is provided.

The necessity of new linguistic conversation model is elucidated, and a leverage factor is incorporated into the linguistic label of negative review to handle the asymmetry problems of linguistic scale. A possible value range of the leverage factor is studied. A new linguistic conversation model is accordingly established with an unbalanced linguistic label and a cloud model. The authors develop a new online recommendation approach based on several modules, such as initialization, conversion, user-clustering and recommendation models.

The unbalanced effect between negative and positive reviews is verified with real data and measured using indirect methods. A new online recommendation approach of electronic products is proposed and used as an illustrative example to prove the practicality, effectiveness and feasibility of the proposed approach.

Due to the unavailable transaction information of customers, the limitation of this study is the effectiveness of the authors’ established recommendation system for platform or website cannot be verified.

In most existing studies, the influence of negative review is counterbalanced by positive review, and the unbalanced effect between negative and positive reviews is ignored. The negative review receives much attention from consumers and businesses. This study thus highlights the influence of negative review.

Why do some small and medium-sized enterprises (SMEs) explore more while others exploit further? What are the driving forces of their exploratory and exploitative innovation? These are intriguing questions worthy of in-depth research. The purpose of this paper is to crack these problems from both objective (i.e. organizational slack) and subjective (i.e. market orientation) perspectives. Specifically, the paper examines the effects of unabsorbed and absorbed slack on exploratory and exploitative innovation and the mediating roles played by proactive and responsive market orientation.

The authors collected data from 214 SMEs in several industries of China. These businesses were located in the city of Shanghai and the provinces of Jiangsu and Zhejiang in the southeastern part of China. The survey method was used to test the hypotheses.

Results reveal that unabsorbed and absorbed slack could affect exploratory and exploitative innovation. Proactive and responsive market orientation are related to unabsorbed and absorbed slack, exploratory and exploitative innovation, and they play the roles of mediators in two sets of the relationships.

This research presents several profound insights for venture capitalists regarding to making investment decisions and for the entrepreneurs of SMEs in terms of how much resource slack they should gain and retain to reach intended level of exploratory and exploitative innovation. Some of the limitations of this study relate to the single respondent in each firm, lack of examination on relevant contextual factors and potential moderators.

This study addresses the gaps in the literature by exploring the mechanisms underlying the effects of different kinds of organizational slack on the two elements of ambidextrous innovation in non-large-scale businesses in a non-Western cultural setting.

Drawing on the customer value-based theory and the resource dependency theory, the purpose of this paper is to investigate how Chinese third-party logistics (3PL) providers leverage their customer orientation to improve operational performance directly in a stable environment or through building and maintaining high-quality 3PL relationships in an uncertain environment.

A survey-based approach is employed to collect data from managers at 132 3PL providers in mainland China. Confirmatory factor analysis is used to assess measures and hierarchical regression is utilized to test the hypothesized relationships.

This study documents significant positive effects of customer orientation and relationship quality on operational performance, as well as significant mediation effect of relationship quality. However, the effect of customer orientation on operational performance decreased, while the effect of relationship quality on operational performance became stronger, under high rather than low environmental uncertainty.

An important implication for managers based on this study is that, in order to be effective, Chinese 3PL providers would need to become more customer oriented and to continually develop and leverage high-quality 3PL relationships in order to enhance their operational performance, especially in situations of high environmental uncertainty.

The paper documents the importance of developing and leveraging high-quality 3PL relationships as a key mediator of the relationship between customer orientation and operational performance. It also documents how environmental uncertainty exerts a powerful moderating influence in this relationship, providing insights into understanding how customer orientation is leveraged by 3PL providers to improve their performance.

This study is aimed at better understanding the evolution of inequality in carbon emission in intraincome and interincome groups in the world, and then to uncover the driving factors that affect inequality in carbon emission.

The approach is developed by combining the Theil index and the decomposition technique. Specifically, the Theil index is used to measure the inequality in carbon emissions from the perspective of global and each income group level. The extended logarithmic mean Divisia index was developed to explore the driving factors.

This study finds that the inequality in carbon emissions of intraincome group is getting better, whereas the inequality in carbon emission of interincome group is getting worse. And the difference in global carbon emissions between income groups is the main source of global carbon emission inequality, which is greater than that within each income group. In addition, the high-income group has transferred their carbon emissions to upper-middle income group by importing high-carbon-intensive products to meet the domestic demand, while lower-middle-income group do not fully participate in the international trade.

To alleviate the global carbon inequality, more attention should be paid to the inequality in carbon emission of interincome group, especially the trade between high-income group and upper-middle income group. From the perspective of driving factors, the impact of import and export trade dependence on the per capita carbon emissions of different income groups can almost offset each other, so the trade surplus effect should be the focus of each group.

In order to consider the impact of international trade, this study conducts a comprehensive analysis of global carbon emissions inequality from the perspective of income levels and introduces the import and export dependence effect and the trade surplus effect into the analysis framework of global carbon emission inequality drivers, which has not been any research carried out so far. The results of this paper not only provide policy recommendations for mitigating global carbon emissions but also provide a new research perspective for subsequent inequality research.

The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats.

Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews.

This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations.

This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks.

Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews.

The six-axis force/torque sensor based on a Y-type structure has the advantages of simple structure, small space volume, low cost and wide application prospects. To meet the overall structural stiffness requirements and sensor performance requirements in robot engineering applications, this paper aims to propose a Y-type six-axis force/torque sensor.

The performance indicators such as each component sensitivities and stiffnesses of the sensor were selected as optimization objectives. The multiobjective optimization equations were established. A multiple quadratic response surface in ANSYS Workbench was modeled by using the central composite design experimental method. The optimal manufacturing structural parameters were obtained by using multiobjective genetic algorithm.

The sensor was optimized and the simulation results show that the overload resistance of the sensor is 200%F.S., and the axial stiffness, radial stiffness, bending stiffness and torsional stiffness are 14.981 kN/mm, 16.855 kN/mm, 2.0939 kN m/rad and 6.4432 kN m/rad, respectively, which meet the design requirements, and the sensitivities of each component of the optimized sensor have been well increased to be 2.969, 2.762, 4.010, 2.762, 2.653 and 2.760 times as those of the sensor with initial structural parameters. The sensor prototype with optimized parameters was produced. According to the calibration experiment of the sensor, the maximum Class I and II errors and measurement uncertainty of each force/torque component of the sensor are 1.835%F.S., 1.018%F.S. and 1.606%F.S., respectively. All of them are below the required 2%F.S.

Hence, the conclusion can be drawn that the sensor has excellent comprehensive performance and meets the expected practical engineering requirements.