Investigating the impact of IT-mediated information interruption on emotional exhaustion in the workplace

Cheng, Xusen; Bao, Ying; Zarifis, Alex

doi:10.1016/j.ipm.2020.102281

Cited by 34 publications

(25 citation statements)

References 69 publications

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“…To address the concerns of CMV due to the self-reported surveys, we conducted several procedural and statistical remedies. In terms of procedural remedies, we tried to assure the respondents that they can answer these questions as honestly as possible to reduce the evaluation apprehension and protect their anonymity (Cheng et al , 2020). In addition, we tried to improve the scale items by avoiding vague concepts and keeping the questions simple and specific (Podsakoff et al , 2003).…”

Section: Methodsmentioning

confidence: 99%

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

Cheng

Bao

Zarifis

et al. 2021

INTR

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PurposeArtificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.Design/methodology/approachA survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test the hypotheses.FindingsFirst, the consumers' perception of both the empathy and friendliness of the chatbot positively impacts their trust in it. Second, task complexity negatively moderates the relationship between friendliness and consumers' trust. Third, disclosure of the text-based chatbot negatively moderates the relationship between empathy and consumers' trust, while it positively moderates the relationship between friendliness and consumers' trust. Fourth, consumers' trust in the chatbot increases their reliance on the chatbot and decreases their resistance to the chatbot in future interactions.Research limitations/implicationsAdopting the stimulus–organism–response (SOR) framework, this study provides important insights on consumers' perception and response to the text-based chatbot. The findings of this research also make suggestions that can increase consumers' positive responses to text-based chatbots.Originality/valueExtant studies have investigated the effects of automated bots' attributes on consumers' perceptions. However, the boundary conditions of these effects are largely ignored. This research is one of the first attempts to provide a deep understanding of consumers' responses to a chatbot.

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Section: Methodsmentioning

confidence: 99%

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

Cheng

Bao

Zarifis

et al. 2021

INTR

Self Cite

View full text Add to dashboard Cite

show abstract

“…Common method bias (CMB) may potentially arise from the self-reported data and the single source, which will lead to measurement error (Chin et al, 2012;Podsakoff & Organ, 1986). In order to test the CMB, the authors adopted two most popular assessments: Harman's single factor test and marker variable method (Shiau et al, 2020;Cheng et al, 2020). The unrotated factor solution indicates that the first factor accounts for 38.6% of the variance and no single factor accounts for more than 50% of the variance.…”

Section: Common Methods Biasmentioning

confidence: 99%

Exploring the Impact of Country-of-Origin Image and Purchase Intention in Cross-Border E-Commerce

Bao

Cheng

Zarifis

2021

Journal of Global Information Management

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Product country-of-origin (COO) is now playing a central role in consumers’ purchase behavior. Previous studies have investigated several factors that impact COO. However, little attention has been paid to the impact of COO on consumers’ product evaluation on Chinese products, especially in the cross-border e-commerce context. Using a multi-methods design, this study first unearthed the antecedents of COO image towards Chinese products from the qualitative data in Study 1 by drawing on the legitimacy theory and then develops a contextual model of consumers’ product evaluation and purchase intention, integrating the role of a product with a different level of involvement. Using quantitative survey data from 252 foreign consumers, the study tests the research model in Study 2. The findings provide empirical evidence to support the model and highlight the importance of COO cues on foreign consumers’ purchase intention towards Chinese products. The results also enhance our understanding of consumers’ purchase decision in cross-border e-commerce.

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“…Specifically, we used the bootstrap method to test the mediating effect and obtained 5,000 samples with a 95% confidence interval (CI). The bootstrap method does not assume that the mediating effect is normally distributed, and it is suitable for application to small or medium-sized samples (Cheng et al, 2020). The results of the bootstrapping are shown in Table 3.…”

Section: Mediating Effect Of the Research Modelmentioning

confidence: 99%

How does interactive virtual reality enhance learning outcomes via emotional experiences? A structural equation modeling approach

Yang

Cai²,

Diao³

et al. 2023

Front. Psychol.

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IntroductionInterest in interactive virtual reality (IVR) is increasing due to its potential for embodied learning and group-led teaching. However, few studies have investigated the internal mechanism by which IVR technology features and learning experiences affect learning outcomes in terms of psychological and emotional value. Based on media technology models and the control value theory of achievement emotions (CVTAE), this study uses structural equation modeling (SEM) to investigate the correlations among the internal elements of IVR technology features, learning experiences, and learning outcomes. It also emphasizes the role played by emotional experience in this context.MethodsThe sample referenced by this study consisted of 480 college students (193 males) who were simultaneously engaged in guided inquiry and learning in an IVR-based COVID-19 pandemic science museum in groups of 10.ResultsThe findings suggest that presence and perceived enjoyment have a key mediating effect on the relationship between virtual reality (VR) features and perceived learning outcomes in an IVR-based learning simulation. In addition, the results indicate that presence is more strongly correlated with perceived learning effects, while enjoyment is more strongly correlated with learning satisfaction.DiscussionThese findings provide intellectual support and theoretical backing for VR-based instructional design and environmental development. Moreover, this study has practical value with regard to the future large-scale application of IVR to experiential teaching, group-led teaching, and the promotion of the digital transformation and intelligence upgrading in education.

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Investigating the impact of IT-mediated information interruption on emotional exhaustion in the workplace

Cited by 34 publications

References 69 publications

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

Exploring the Impact of Country-of-Origin Image and Purchase Intention in Cross-Border E-Commerce

How does interactive virtual reality enhance learning outcomes via emotional experiences? A structural equation modeling approach

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