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Awe is an essential post-experience assessment; nevertheless, few studies have discussed its role in the field of outdoor sports or outdoor sports tourism. In this study, the authors aim to examine the effects of awe on participants' satisfaction and behavioral intention by considering the perceived vastness of the natural environment, perceived professionalism, and self-image congruity as drivers.

The authors proposed and empirically tested a research model based on a survey with 480 responses collected in China. The effect of awe is explored from the perspectives of both sufficiency logic and necessity logic by applying the combined use of partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA).

The results show that the perceived vastness of the natural environment, perceived professionalism and self-image congruity are sufficient conditions for awe: these factors affect awe positively, which, in turn, positively affect satisfaction and behavioral intention. Furthermore, both the perceived vastness of the natural environment and perceived professionalism represent a necessary condition for awe. Awe acts as a necessary and sufficient condition for both participants' satisfaction and behavioral intention.

The results of this study suggest that the generation of awe can be used as a business strategy to influence outdoor sports participants' choices in practice. In addition to the unique natural environment, professional exercising and self-realization are key success factors in enhancing the positive evaluations of outdoor sports participants.

This study is a first attempt to identify the role of awe in outdoor sports activities. Methodologically, it provides a paradigm for the combined use of PLS-SEM and NCA in sports management research by identifying the necessary and sufficient effects of awe on outdoor sports participants' post-experience evaluation.

The concept of experience economy states that customers seek experiences whether from products and services. Tourism is at the forefront of the experience economy because tourists are looking for staged experience encompassing the four realms (entertainment, educational, esthetic and escapism). The purpose of this paper is to empirically explore the effects of the experience economy on tourists’ word-of-mouth (WOM) in Chengdu cuisine through satisfaction and memory.

In total, 397 valid data were collected from the tourists who have experienced the ethnic cuisine in Chengdu. A partial least-square structural equation modeling technique was used to examine the research model.

The empirical results indicated that esthetic is the antecedent of the other three realms of experience economy; esthetic, educational and entertainment experiences influence satisfaction; four realms of experience economy influence memory; and satisfaction and memory ultimately influence WOM.

The findings of this study provide practical implications for operators of ethnic restaurants in designing their restaurants and menus, travel agencies in planning the tour itinerary and governments in using ethnic cuisine for destination marketing.

This study is a pioneer in studying the experience economy in the ethnic cuisine. It has identified the relationships between four dimensions of experience economy of ethnic cuisine, tourist satisfaction, memory and WOM toward ethnic cuisine in a tourist destination. It has also integrated the senses of Chinese cuisine (“sight,” “smell” and “taste”) into the measures of esthetic experience for studying experience economy in ethnic cuisine.

Green supply chain management is an effective, environment-friendly business practice. Based on institutional theory and dynamic capability theory, the study examines the effect of institutional pressures to implement green supply chain management (GSCM) on green innovation, by considering the mediation effects of cross-functional coopetition.

This study conducted a survey of Chinese companies and collected 1,481 responses. The effects of institutional pressures for GSCM implementation were analyzed using partial least squares structural equation modeling (PLS-SEM).

This study finds that coercive pressure, normative pressure and mimetic pressure for GSCM implementation are sufficient conditions to promote green innovation. Normative and mimetic pressures have significant positive effects on cross-functional coopetition. Cross-functional coopetition not only mediates the relationship between normative pressure and mimetic pressure and green innovation but also represents a necessary condition for it to occur.

First, managers should comprehend environmental regulations, embrace social norms on the environment and focus on competitors' successful GSCM practices. Second, management can organize training and establish performance-based rewards for enhancing a cross-functional coopetitive mindset to effectively respond to institutional pressures. Third, companies should establish multi-functional groups and informal networking via social events to motivate interaction, knowledge sharing and creative tension to achieve green innovation.

This paper expands the application of institutional theory to investigate the antecedent effects of institutional pressures on cross-functional coopetition. In addition, the study deepens understanding of dynamic capability theory in analyzing dynamic processes of cross-functional coopetition based on three dimensions of sensing, seizing and reconfiguring and empirically examines its mediating effects on institutional pressures and green innovation.

In China, the practice of livestreaming while shopping has evolved from a form of entertainment into a new business strategy. In recent years, the gastronomy industry has also adopted livestreaming as a means of online promotion. Based on the stimulus–organism–response theoretical model, this study aims to investigate the effects of gastronomy livestreaming on viewers’ impulsive consumption by considering gamification, perceived professionalism and telepresence as causative factors.

This study conducted a survey of gastronomy livestreaming viewers that received 1,093 responses. The effects of gamification, perceived professionalism and telepresence were then analyzed using partial least squares-path modeling and necessary condition analysis.

This study finds that gamification, perceived professionalism and telepresence are sufficient conditions for explaining impulsive consumption. Innovativeness mediates the relationships between these factors and impulsive consumption. Furthermore, gamification and innovativeness represent necessary conditions for impulsive consumption.

The findings of this study contribute to an enhanced understanding of livestreaming in the gastronomy industry. Based on these findings, managers in the gastronomy industry can use more interactive gamification activities and enhance telepresence to increase viewers’ impulsive consumption during livestreaming sessions.

This study identifies the modalities through which gastronomy livestreaming can stimulate impulsive consumption. This is an early study to investigate the effect of experiences of gamification, perceived professionalism and telepresence on viewers’ impulsive consumption in the context of gastronomy livestreaming. In addition, this early study investigates the effect of gastronomy livestreaming innovativeness on impulsive consumption.

This study aims to provide a response to calls for research on the consequences of technostress among employees in smart hotels. Based on the person–environment fit and job demands–resources theories, the authors offer a theoretical framework and investigate how factors affect employees’ well-being and performance. Further, the authors investigate the moderating effects of organizational learning on the relationship between technostress and employee well-being and performance.

The authors developed and empirically tested a research model based on a survey of 454 respondents in China. The effect of technostress was analyzed by applying the use of partial least squares structural equation modeling.

The results support that technostress negatively affects employee well-being (e.g. engagement and overall well-being) and performance. Employee well-being mediates the relationship between technostress and performance. Organizational learning has a countervailing moderating impact on employee well-being and performance. Specifically, organizational learning significantly counteracts the relationship between technostress and performance while significantly exacerbating the relationship between technostress and engagement.

This study contributes to an enhanced understanding of technostress in smart hotels and provides practical recommendations for assisting hotel managers in improving employee well-being and performance.

This work represents an early attempt to investigate the impact of technostress on employee well-being and performance in smart hotels. The countervailing moderating effect of organizational learning on employee engagement and performance is identified. In addition, this study is an initial attempt at estimating the predictive contribution of the mediating effects of employee engagement and overall well-being in the relationship between technostress and employee performance in smart hotels.

这项研究响应了对研究智能酒店员工存在的技术压力的号召。基于人与环境的契合和工作需求——资源理论, 我们提供了一个理论框架并调查如何影响员工的幸福感和绩效的因素。此外, 我们调查了组织学习对技术压力以及员工福利和绩效关系的调节作用。

我们开发并实证检验了一项基于对中国 454 名受访者的调查的研究模型。通过应用偏最小二乘结构方程模型对技术压力的影响进行分析。

结果显示技术压力对员工幸福感产生负面影响（例如, 参与度和整体幸福感）和绩效。员工幸福感对技术压力和绩效之间的关系有显著中介作用。组织学习对员工的幸福感和表现起到了抵消性的调节作用。具体而言, 组织学习显着抵消了技术压力和绩效之间的关系, 同时显着增加技术压力和参与度之间的关系。

本研究有助于加深对智能酒店技术人员的理解并提供实用建议以协助酒店管理人员改善员工福利和表现。

这项研究代表了技术压力对智能酒店员工福利和绩效影响的早期尝试。本论文确定了组织学习在员工参与度和工作表现关系之间的抵消调节作用。此外, 这项研究是探索智能酒店员工参与度以及整体幸福感在技术压力与员工绩效之间关系的中介效应的初步尝试。

One of the impacts of the COVID-19 pandemic is that using an e-wallet – a contactless process – rather than a payment terminal is an intuitively safer option. This study is grounded in cognitive absorption theory and investigates how the use of the money-gift function influences the intention to continue using an e-wallet app.

Using a cross-sectional approach, a structured questionnaire was designed and distributed to the target respondents in Malaysia through social media platforms. The data were collected with purposive sampling and a total of 350 eligible responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Cognitive absorption significantly influenced the perceptions of e-wallet apps (perceived ease of use and perceived usefulness). The intention to continue using an e-wallet app was positively predicted by attitude and subjective well-being. Furthermore, this study found that the path between attitude and the intention to continue use was mediated by subjective well-being, whereas perceived security moderated the path between cognitive absorption and perceptions of an e-wallet app.

The results offer much-needed broad guidance for e-wallet service providers. In particular, the findings reveal how implementing money-gift functions promotes various positive outcomes that influence the intention to continue using an e-wallet app.

Previous research on e-wallets considered only the basic characteristics of an e-wallet app when studying continuous usage. Few studies have empirically examined the innovative function of money gifts. Therefore, this study is among the first to offer empirical insights into how immersion and cognitive interaction with the money-gift function can influence user perceptions and behavior toward e-wallet apps.

Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.