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The purpose of this paper is to explore the influence of PRINCE2 (PRoject IN Controlled Environments 2) standard on customer satisfaction jointly with vendor relationship management capability in the information technology outsourcing (ITO) context. This paper further tries to explore the above underlying mechanism by studying the mediating effect of deliverable quality.

This paper develops a mediated moderation model to explain the underlying influence processes of PRINCE2 standard, vendor relationship management capability and deliverable quality on ITO customer satisfaction. By conducting a pair-wise survey of 260 project managers in seven Iranian firms, the model and hypotheses are empirically tested with the partial least squares method.

Our results suggest that firms benefit more in terms of IT costs reduction when they have a higher level of complementary investment in an external standard, especially through an interplay effect of the external standard and internal relational aspect. Firms can make business processes more amenable to outsourcing and facilitate monitoring of vendor performance and effective coordination with vendors. More interestingly, we find that this interactive effect is fully mediated by deliverable quality, which, in turn, directly increases ITO customer satisfaction.

This study adds some new knowledge and provides new views to study ITO customer satisfaction by addressing the importance of PRINCE2 standard. This study further enhances our understanding in terms of the underlying pathway through which the PRINCE2 standard jointly affects customer satisfaction with vendor relationship management capability and deliverable quality. With the effort of explicitly explaining the complex mechanisms, this study helps ITO managers proactively escort outsourcing activities and projects.

The purpose of this paper is to explore the underlying mechanisms through which interactivity and fairness perception impart influence on solvers’ continuance intention in crowdsourcing contest settings.

On basis of self-determination theory and social exchange theory, this study focuses on the mediating roles of motivation and platform trust to explain the underlying influence processes of interactivity and fairness perception on continuance intention. A sample of 306 solvers was obtained from an online crowdsourcing platform through two separated surveys. The hypotheses were tested using the partial least squares method and bias-corrected bootstrapping method.

The empirical results indicate that motivation and platform trust together fully mediate the effect of interactivity on continuance intention, and the effect of fairness perception on continuance intention is also fully mediated by motivation and platform trust. While motivation is found to have a stronger mediating effect than platform trust does.

This study contributes to the crowdsourcing research by figuring out the pathway through which interactivity and fairness perception influence solvers’ continuance intention.

The purpose of this paper is to explore the underlying mechanisms through which integration capability and learning capability influence IT outsourcing performance from vendor’s perspective.

This paper develops a moderated mediation model to explain the underlying influence processes of integration capability and learning capability on vendor’s performance. A sample of 237 vendor firms was obtained from China through two separated surveys. The hypotheses were tested with the partial least squares method and bias-corrected bootstrapping method.

The empirical results indicate that external integration capability (EIC) mediates the effect of internal integration capability (IIC) on vendor outsourcing performance, and the relationship between EIC and vendor performance is positively moderated by learning capability, while learning capability has a negative moderating effect on the link between IIC and vendor performance. Further, the conditional indirect effect is suggested. The indirect effect of IIC on vendor performance through EIC becomes non-significant when learning capability is low.

This study highlights the counterintuitive notion that learning capability may not always have uniformly positive effects and figure out the mechanism through which integration capability and learning capability can effectively improve IT outsourcing performance.

The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.

This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.

The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.

The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

The user churn (UC) of rural public digital cultural services (RPDCS) indicates that rural users no longer use RPDCS or have switched to other services. The purpose of this study is to investigate the factors influencing RPDCS's UC and to contribute toward bridging the rural digital divide.

Based on the stimulus-organism-response theory, this study proposes a theoretical framework to investigate the factors influencing RPDCS's user churn. A total of 120 RPDCS users were initially recruited and 90 representative participants were chosen. Data were collected from the 90 respondents and 20 follow-up interviews. To examine the proposed framework and validate the correlations between these factors and UC, an analysis of variance (ANOVA) and multiple regression analysis were used. In addition, recommendations are made to avoid the UC of RPDCS to bridge the rural digital divide.

The results indicate that the UC of RPDCS was stimulated by both physical and ability divides and RPDCS ineffectiveness, resulting in increased churn rates and an exacerbated digital divide. Thus, avoiding the UC of RPDCS is an important way to bridge the rural digital divide, which includes both the physical and ability divides.

This study adds new knowledge about RPDCS and distinguishes it from previous research on public digital cultural services. In addition, the authors discuss how to avoid the UC of RPDCS, to bridge the rural digital divide.

The distinct characteristics of slow tourism compared to mass tourism determine the differences between slow travelers and mass travelers. This transformation is essential for potential tourists to transition into slow travelers when promoting slow tourism to them. Can travel vlogs, a “fast” way of promoting, achieve such a “slow” transformation? To address this question, the purpose of this paper is to introduce the resonance theory and investigate the impact of resonance with slow tourism vlogs on potential travelers’ destination image and travel intention.

Through the distribution of online questionnaires on site, this study collected a total of 349 valid questionnaires. Subsequently, the researcher used partial least squares structural equation modeling to analyze the data and test the hypotheses.

The research findings indicate that cognitive resonance only positively affected cognitive image, while emotional resonance was positively associated with both cognitive image and affective image. In addition, it was observed that cognitive image and affective image played a positive mediating role between resonance with slow tourism vlogs and travel intention.

This research is pioneering in quantitatively validating the structure linking resonance, destination image and travel intention in the context of slow tourism. By validating the second-order structure of cognitive and emotional resonance, this study underscores the crucial role of resonance in shaping tourists’ transition toward a slow mindset in slow tourism.

This study aims to reveal the influencing factors of user churn behavior and explore how these factors influence user churn behavior of rural public digital cultural services (RPDCS), and then, to provide the avoidance strategies for user churn behavior of RPDCS.

Combined with the stimulus–organism–response theory and cognitive load theory, this study constructed a mixed model of user churn behavior. Data collected through online and offline questionnaire survey were tested using the partial least squares structural equation modeling approach, and finally, the authors proposed a user churn behavior model of RPDCS.

The results indicate that the environmental stimulus factors of RPDCS affected user churn behavior via user organism factors. This study suggests that administrators should pay more attention to the information demand of users and strengthen the effective supply of RPDCS. Meanwhile, it is necessary to improve the information literacy of rural users to restrain the user churn behavior and improve the effectiveness of RPDCS.

The research findings on the influencing factors of user churn behavior shed light on the user churn behavior in public digital cultural services, add new knowledge to the construction of the public cultural services system and provide empirical evidence for how to improve the utilization and effectiveness of RPDCS.

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.

This study aims to differentiate two types of relationship exploration – substitute relationship exploration (SRE) and complementary relationship exploration (CRE) – and examine their effects on a distributor’s detection capability in relationship governance with upstream suppliers and innovation capability in services to downstream customers.

The authors obtained 176 responses from distributors in the semiconductor industry in China. Structural equation modeling and hierarchical moderated regressions are used to test the hypotheses.

CRE increases both detection and innovation capability, whereas SRE reduces detection capability and increases innovation capability. Market uncertainty weakens the effect of detection capability but strengthens that of innovation capability on distributor performance.

First, to the best of the authors’ knowledge, this study is among the first to differentiate SRE and CRE, thus enriching the relationship marketing literature. Second, drawing on information economics, the authors uncovered the differential effects of SRE and CRE on detection and innovation capabilities. Third, market uncertainty moderates the effects of the two capabilities on distributor performance.

Distributors should be aware that there are different types of relationship exploration and, for that reason, should explore potential suppliers based on their business needs and firm conditions. The results of this study show that both SRE and CRE are beneficial for distributors’ innovation capability, but SRE reduces their detection capability. Practically, firms need to be aware of the trade-offs associated with different types of relationship exploration. Moreover, when market uncertainty is high, distributors should pay more attention to innovation than to detection capability building.

This study conceptualizes and differentiates between two forms of relationship exploration. By linking them with distributors’ capability building and performance, the authors provide theoretical and practical implications.

A research framework that explains adoption intention in students with regard to brain–computer interface (BCI) games in the learning context was proposed and empirically examined.

In this study, an approach integrating the decomposed theory of planned behavior, perceived playfulness, risk and the task–technology fit (TTF) concept was used to assess data collected using a post-experiment questionnaire from a student sample in Taiwan. The research model was tested using the partial least-squares structural equation modeling (PLS-SEM) technique.

Attitude, subjective norms and TTF were shown to impact intention to play the BCI game significantly, while perceived behavioral control did not show a significant impact. The influence of superiors and peers was found to positively predict subjective norms. With the exception of perceived ease of use, all of the proposed antecedents were found to impact attitude toward BCI games. Technology facilitating conditions and BCI technology characteristics were shown to positively determine perceived behavior control and TTF, respectively. However, the other proposed factors did not significantly influence the latter two dependents.

This research contributes to the nascent literature on BCI games in the context of learning by highlighting the influence of belief-related psychological factors on user acceptance of BCI games. Moreover, this study highlights the important, respective influences of perceived playfulness, risk and TTF on users' perceptions of a game, body monitoring and technology implementation, each of which is known to influence willingness to play.