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Article
Publication date: 22 March 2024

Junping Qiu, Qinze Mi, Zhongyang Xu, Tingyong Zhang and Tao Zhou

Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to…

Abstract

Purpose

Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to knowledge contributors.

Design/methodology/approach

We used Python to gather data from Zhihu, performed hypothesis testing on the models using Poisson regression and finally conducted a mediation effect analysis.

Findings

The findings reveal that knowledge seeking impacts users' motivation for information interaction, emotional interaction and trust. Notably, information interaction and trust exhibit a chained mediation effect that subsequently influences knowledge contribution.

Originality/value

Current studies on user knowledge behavior typically examine individual actions, rarely connecting knowledge seeking and knowledge contribution. However, the balance of knowledge inflow and outflow is crucial for social Q&A platforms. To cover this gap, this paper empirically investigates the switching between knowledge seeking and knowledge contribution based on the social interaction theory and trust theory.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 26 March 2024

Yuanwen Han, Jiang Shen, Xuwei Zhu, Bang An and Xueying Bao

This study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects…

Abstract

Purpose

This study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects, reveal the interaction mechanism of interface management risk and provide theoretical support for project managers to develop appropriate interface management risk response strategies.

Design/methodology/approach

This paper introduces the association rule mining technique to improve the complex network modeling method. Taking China as an example, based on the stakeholder perspective, the risk factors and significant accident types of interface management of high-speed rail construction projects are systematically identified, and a database is established. Then, the Apriori algorithm is used to mine and analyze the strong association rules among the factors in the database, construct the complex network, and analyze its topological characteristics to reveal the interaction mechanism of the interface management risk of high-speed rail construction projects.

Findings

The results show that the network is both scale-free and small-world, implying that construction accidents are not random events but rather the result of strong interactions between numerous interface management risks. Contractors, technical interfaces, mechanical equipment, and environmental factors are the primary direct causal factors of accidents, while owners and designers are essential indirect causal factors. The global importance of stakeholders such as owners, designers, and supervisors rises significantly after considering the indirect correlations between factors. This theoretically explains the need to consider the interactions between interface management risks.

Originality/value

The interaction mechanism between interface management risks is unclear, which is an essential factor influencing the decision of risk response measures. This study proposes a new methodology for analyzing interface management risk response strategies that incorporate quantitative analysis methods and considers the interaction of interface management risks.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 1 March 2024

Yuxuan Chang and Xiaoyang Zhao

This paper examines whether technological changes that promote communications between investors and managers help bridge the gap in the cost of equity capital among firms in…

Abstract

Purpose

This paper examines whether technological changes that promote communications between investors and managers help bridge the gap in the cost of equity capital among firms in different regions.

Design/methodology/approach

We use the online interaction platforms of listed firms in China and utilize brokerage presence (BP) to capture the geographic distribution of financial factors. We explore whether online interactions would reduce the cost of equity to a greater extent for firms located in low brokerage presence regions (hereafter “low-BP firms”) than those in high brokerage presence regions (hereafter “high-BP firms”).

Findings

We find low-BP firms benefit more from an improved information environment created by online interactions. We also find that posts about low-BP firms are more value-relevant and useful in processing corporate disclosures. Further, a higher number of interactions significantly enhances more informational efficiency for low-BP firms, and the effect of reducing the gap in financing costs is more pronounced when corporate information is complex.

Originality/value

We conclude that online interactions alleviate geography-induced information frictions and create a relatively level playing field for firms located in all regions.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

Keywords

Article
Publication date: 8 March 2024

Magdalena Marchowska-Raza and Jennifer Rowley

Social media has significantly impacted the value creation processes within the consumer–brand relationship. This study aims to examine value formation processes within a…

Abstract

Purpose

Social media has significantly impacted the value creation processes within the consumer–brand relationship. This study aims to examine value formation processes within a cosmetics social media brand community and to establish the types of value formation associated with different categories of interactions within a social media brand community.

Design/methodology/approach

The research adopted a netnographic approach and followed the operational protocols of netnography. Conversations in one large cosmetics social media brand community were observed and downloaded for analysis over a two-month period. Examples of value-creation and formation processes were identified using netnographic interpretative procedures to develop higher-order themes.

Findings

The findings supported the creation of a “Consumer and brand value creation and co-creation framework” highlighting disparate value types within the following interactions: consumer-to-consumer; brand-to-consumer; and consumer-to-brand. The identified value types were specific to the actors (i.e. consumers and brands) involved in value formation processes. The analysis also revealed consumers’ ability to independently generate value through direct interaction with a social media brand community and the brands’ role in supporting consumers in value formation through value facilitation.

Originality/value

The pivotal role of disparate actors’ interactions in value formation processes is highlighted, alongside the autonomous ability to form value with the aid of resources stored and shared within the social media brand community. The network of interactions and value-creation processes contribute to a holistic understanding of the interactions in a social media brand community. Furthermore, the research explores and highlights the emerging role of social media brand communities as “value vestiges”.

Details

Journal of Product & Brand Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 11 January 2024

Yuepeng Zhang, Guangzhong Cao, Linglong Li and Dongfeng Diao

The purpose of this paper is to design a new trajectory error compensation method to improve the trajectory tracking performance and compliance of the knee exoskeleton in…

Abstract

Purpose

The purpose of this paper is to design a new trajectory error compensation method to improve the trajectory tracking performance and compliance of the knee exoskeleton in human–exoskeleton interaction motion.

Design/methodology/approach

A trajectory error compensation method based on admittance-extended Kalman filter (AEKF) error fusion for human–exoskeleton interaction control. The admittance controller is used to calculate the trajectory error adjustment through the feedback human–exoskeleton interaction force, and the actual trajectory error is obtained through the encoder feedback of exoskeleton and the designed trajectory. By using the fusion and prediction characteristics of EKF, the calculated trajectory error adjustment and the actual error are fused to obtain a new trajectory error compensation, which is feedback to the knee exoskeleton controller. This method is designed to be capable of improving the trajectory tracking performance of the knee exoskeleton and enhancing the compliance of knee exoskeleton interaction.

Findings

Six volunteers conducted comparative experiments on four different motion frequencies. The experimental results show that this method can effectively improve the trajectory tracking performance and compliance of the knee exoskeleton in human–exoskeleton interaction.

Originality/value

The AEKF method first uses the data fusion idea to fuse the estimated error with measurement errors, obtaining more accurate trajectory error compensation for the knee exoskeleton motion control. This work provides great benefits for the trajectory tracking performance and compliance of lower limb exoskeletons in human–exoskeleton interaction movements.

Details

Robotic Intelligence and Automation, vol. 44 no. 1
Type: Research Article
ISSN: 2754-6969

Keywords

Abstract

Details

Understanding Intercultural Interaction: An Analysis of Key Concepts, 2nd Edition
Type: Book
ISBN: 978-1-83753-438-8

Article
Publication date: 16 June 2023

Shameem Shagirbasha, Kumar Madhan and Juman Iqbal

Grounded in emotional dissonance and social presence theories, this study examines whether the characteristics of employee–customer interaction (frequency, routineness and…

Abstract

Purpose

Grounded in emotional dissonance and social presence theories, this study examines whether the characteristics of employee–customer interaction (frequency, routineness and duration) and emotional intelligence (EI) have an impact on emotional labor (surface acting (SA), deep acting and naturally felt emotions (NFE)) and whether the type of interaction (face to face, voice to voice and online) moderates this relationship.

Design/methodology/approach

A survey method was employed to collect data from employees working in hotels, customer care and e-booking services (n = 604). The model was tested using structural equation modeling (SEM).

Findings

The study showed that EI was positively linked to deep acting and NFE but negatively associated with SA. Frequency of interaction had a negative relationship with deep acting and NFE but a positive association with SA. Duration of interaction (DOI) had a positive relationship with deep acting and NFE but a negative association with NFE. Routineness of interaction had a negative relationship with deep acting and NFE but surprisingly had a negative relationship with SA. Online interaction moderated the relationship between EI and deep acting.

Originality/value

This pioneering study examines the relationship between EI and characteristics of employee–customer interaction with emotional labor in the Indian hospitality context. While the association between EI and emotional labor has been studied, this study is unique in substantiating the moderating effects of interaction type and is among the first to do so empirically.

Details

Evidence-based HRM: a Global Forum for Empirical Scholarship, vol. 12 no. 1
Type: Research Article
ISSN: 2049-3983

Keywords

Article
Publication date: 12 February 2024

Nisha Pradeepa S.P., Asokk D., Prasanna S. and Ansari Sarwar Alam

The concept of ubiquitous assimilation in e-commerce, denoting the seamless integration of technologies into customer shopping experiences, has played a pivotal role in aiding…

Abstract

Purpose

The concept of ubiquitous assimilation in e-commerce, denoting the seamless integration of technologies into customer shopping experiences, has played a pivotal role in aiding e-satisfaction and, consequently, fostering patronage intention. Among these, text-based chatbots are significant innovations. In light of this, the paper aims to develop a conceptual framework and comprehend the patronage behaviour of artificial intelligence-enabled chatbot users by using chatbot usability cues and to determine whether the social presence and flow theories impact e-satisfaction, which leads to users’ patronage intention. The current research provides insights into online travel agencies (OTAs), a crucial segment within the travel and tourism sector. Given the significance of building a loyal clientele and cultivating patronage in this industry, these insights are of paramount importance for achieving sustained profitability and growth.

Design/methodology/approach

The research framework primarily focused on the factors that precede e-satisfaction and patronage intention among chatbot users, which include social presence, flow, perceived anthropomorphism and need for human interaction. The researchers collected the data by surveying 397 OTA chatbot users by using an online questionnaire. The data of this cross-sectional study were analysed using covariance-based structural equation modelling.

Findings

Findings reveal that e-satisfaction is positively linked with patronage intention and the variables of social presence and flow impact e-satisfaction along with chatbot usability cues. There were direct and indirect relations between chatbot usability and e-satisfaction. Moreover, the personal attributes, “need for human interaction” and, “perceived anthropomorphism” were found to moderate relations between chatbot usability cues, social presence and flow.

Originality/value

The impact of chatbot’s usability cues/attributes on e-satisfaction, along with perceived attributes – social presence and flow in the realm of OTAs contributes to the human–chatbot interaction literature. Moreover, the interacting effects of perceived anthropomorphism and the need for human interaction are unique in the current contextual relations.

Details

Journal of Systems and Information Technology, vol. 26 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

Open Access
Article
Publication date: 15 February 2024

Angelo Ranieri, Irene Di Bernardo and Cristina Mele

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting…

1161

Abstract

Purpose

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

Design/methodology/approach

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

Findings

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

Originality/value

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

Details

Journal of Service Theory and Practice, vol. 34 no. 2
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 2 February 2023

Min Zuo, Jiangnan Qiu and Jingxian Wang

Online collaboration in today's world is a topic of genuine interest to Internet researchers. The purpose of this paper is to explore the role of group knowledge heterogeneity…

Abstract

Purpose

Online collaboration in today's world is a topic of genuine interest to Internet researchers. The purpose of this paper is to explore the role of group knowledge heterogeneity (GKH) in open collaboration performance using the mediating mechanisms of group cognition (GC) and interaction to understand the determinants of the success of online open collaboration platforms.

Design/methodology/approach

Study findings are based on partial least squares structural equation modeling (PLS-SEM), the formal mediation test and moderating effect analysis from Wikipedia's 160 online open collaborative groups.

Findings

For online knowledge heterogeneous groups, open collaboration performance is mediated by both GC and collaborative interaction (COL). The mediating role of GC is weak, while the mediating role of COL is strengthened when knowledge complexity (KC) is higher. By dividing group interaction into COL and communicative interaction (COM), the authors also observed that COL is effective for online open collaboration, whereas COM is limited.

Originality/value

These findings suggest that for more heterogeneous large groups, group interaction would explain more variance in performance than GC, offering an in-depth understanding of the relationship between group heterogeneity and open collaboration performance, answering what determines the success of online open collaboration platforms as well as explaining the inconsistency in prior findings. In addition, this study expands the application of Interactive Team Cognition (ITC) theory to the online open collaboration context.

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