Intention to use analytical artificial intelligence (AI) in services – the effect of technology readiness and awareness

Assist me or replace me? Uncovering the influence of AI awareness on employees' counterproductive work behaviors

Objective

Drawing on the conservation of resources theory (COR), the research aims to reveal the influence of artificial intelligence (AI) awareness on employees' mental health and behaviors, particularly examining whether and how employees' AI awareness impacts their counterproductive work behaviors (CWB) in human-intelligence collaborations.

Methods

Data was collected from 327 Chinese employees who collaborated with AI in sales, manufacturing, logistics, and other industries. The measurement instruments included scales for AI awareness, psychological contract (PC), emotional exhaustion (EE), and counterproductive work behavior (CWB). We used Hayes's PROCESS macro to analyze the data.

Findings

AI awareness had a significant positive impact on CWB (β = 0.448, p < 0.01). PC and EE play a role as partial mediators in the relationship between AI awareness and CWB. The mediating pathways consist of three sequences: "AI awareness → PC → CWB," "AI awareness → EE → CWB" and "AI awareness → PC → EE → CWB," with the respective contributions to the overall effect amounting to 8.04, 18.53, and 4.91%.

Discussion

Our research contributes to the study of AI in the management field by elucidating the relationship between AI awareness and CWB, as well as the mediating mechanisms of this relationship, which enriches the literature on CWB and expands the understanding of the associations between AI and CWB.

Effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.

Does AI-Driven Technostress Promote or Hinder Employees' Artificial Intelligence Adoption Intention? A Moderated Mediation Model of Affective Reactions and Technical Self-Efficacy

PURPOSE

The increasing integration of Artificial Intelligence (AI) within enterprises is generates significant technostress among employees, potentially influencing their intention to adopt AI. However, existing research on the psychological effects of this phenomenon remains inconclusive. Drawing on the Affective Events Theory (AET) and the Challenge-Hindrance Stressor Framework (CHSF), the current study aims to explore the "black box" between challenge and hindrance technology stressors and employees' intention to adopt AI, as well as the boundary conditions of this mediation relationship.

METHODS

The study employs a quantitative approach and utilizes three-wave data. Data were collected through the snowball sampling technique and a structured questionnaire survey. The sample comprises employees from 11 distinct organizations located in Guangdong Province, China. We received 301 valid questionnaires, representing an overall response rate of 75%. The theoretical model was tested through confirmatory factor analysis and regression analyses using Mplus and the Process macro for SPSS.

RESULTS

The results indicate that positive affect mediates the positive relationship between challenge technology stressors and AI adoption intention, whereas AI anxiety mediates the negative relationship between hindrance technology stressors and AI adoption intention. Furthermore, the results reveal that technical self-efficacy moderates the effects of challenge and hindrance technology stressors on affective reactions and the indirect effects of challenge and hindrance technology stressors on AI adoption intention through positive affect and AI anxiety, respectively.

CONCLUSION

Overall, our study suggests that AI-driven challenge technology stressors positively impact AI adoption intention through the cultivation of positive affect, while hindrance technology stressors impede AI adoption intention by triggering AI anxiety. Additionally, technical self-efficacy emerges as a crucial moderator in shaping these relationships. This research has the potential to make a meaningful contribution to the literature on AI adoption intention, deepening our holistic understanding of the influential mechanisms involved. Furthermore, the study affirms the applicability and relevance of Affective Events Theory (AET) and the Challenge-Hindrance Stressor Framework (CHSF). In practical terms, the research provides actionable insights for organizations to effectively manage employees' AI adoption intention.

Acceptance and use behaviour of emerging technology for middle-aged healthy lifestyle

BACKGROUND

Several studies focus on the use of emerging technologies to support and monitor health but are centred around the elderly group of people. Meanwhile, the average elderly popularly known as the middle-aged have not been put into consideration regarding the subject matter.

OBJECTIVE

This article focuses on the use behaviour and acceptance of emerging technologies that can assist in providing a middle-aged population with a healthy lifestyle.

METHODS

This study collected the primary data through an online questionnaire survey to empirically evaluate final 169 respondents. The analysis for this study was done utilising SmartPLS software via partial least squares structural equation modelling.

RESULTS

The results indicate that 9 out of 11 were tested as supported hypotheses. All supported hypotheses showed the strong relationship between acceptance and user behaviour with emerging technology.

CONCLUSION

The experience of acceptance and behaviour of using emerging technology in a healthy lifestyle was found as an important determinant of outcome in preparing the middle-aged for their elderly age by adapting emerging technology as early as possible.

Navigating the tourism digital landscape: The interrelationship of online travel sites' affordances, technology readiness, online purchase intentions, trust, and E-loyalty

This study investigates the relationship between online travel sites' affordances (OTSA), technology readiness (TR), and their impact on tourists' online purchase intentions (OPI), as well as the moderating role of trust on OPI and e-loyalty. The survey was conducted online from September 2022 until November 2022 on 306 participants who were selected purposively. The collected data was analyzed using Partial Least Squares-Structural Equation Analysis (PLS-SEM). The findings indicated that OTSA has a greater influence on OPI in comparison to TR. Specifically, OTSA's level of interactivity and stickiness had a noteworthy impact on OPI, while only the innovativeness of TR had a positive effect on OPI. The results of the moderating role of trust indicated that OPI negatively affects e-loyalty in the presence of trust. The research conducted in this study has yielded valuable insights that hold theoretical and practical significance, particularly for local governments and tourism agencies operating in the realm of online travel sites. A key finding of the study emphasizes the importance of improving technology adoption and user experience to facilitate greater comfort and confidence among tourists in using these platforms. Establishing trust between tourists and online travel sites emerges as a critical factor in shaping the success of the tourism industry. By prioritizing trust and transparency, tourism agencies and online travel sites can forge robust relationships with their customers and promote the growth of the tourism industry toward digitalization.

Can artificial intelligence’s limitations drive innovative work behaviour?

Artificial intelligence (AI) is deemed to increase workers’ productivity by enhancing their creative abilities and acting as a general-purpose tool for innovation. While much is known about AI’s ability to create value through innovation, less is known about how AI’s limitations drive innovative work behaviour (IWB). With AI’s limits in perspective, innovative work behaviour might serve as workarounds to compensate for AI limitations. Therefore, the guiding research question is: How will AI limitations, rather than its apparent transformational strengths, drive workers’ innovative work behaviour in a workplace? A search protocol was employed to identify 65 articles based on relevant keywords and article selection criteria using the Scopus database. The thematic analysis suggests several themes: (i) Robots make mistakes, and such mistakes stimulate workers’ IWB, (ii) AI triggers ‘fear’ in workers, and this ‘fear’ stimulates workers’ IWB, (iii) Workers are reskilled and upskilled to compensate for AI limitations, (iv) AI interface stimulates worker engagement, (v) Algorithmic bias requires IWB, and (vi) AI works as a general-purpose tool for IWB. In contrast to prior reviews, which generally focus on the apparent transformational strengths of AI in the workplace, this review primarily identifies AI limitations before suggesting that the limitations could also drive innovative work behaviour. Propositions are included after each theme to encourage future research.

Can artificial intelligence’s limitations drive innovative work behaviour?

Artificial intelligence (AI) is deemed to increase workers’ productivity by enhancing their creative abilities and acting as a general-purpose tool for innovation. While much is known about AI’s ability to create value through innovation, less is known about how AI’s limitations drive innovative work behaviour (IWB). With AI’s limits in perspective, innovative work behaviour might serve as workarounds to compensate for AI limitations. Therefore, the guiding research question is: How will AI limitations, rather than its apparent transformational strengths, drive workers’ innovative work behaviour in a workplace? A search protocol was employed to identify 65 articles based on relevant keywords and article selection criteria using the Scopus database. The thematic analysis suggests several themes: (i) Robots make mistakes, and such mistakes stimulate workers’ IWB, (ii) AI triggers ‘fear’ in workers, and this ‘fear’ stimulates workers’ IWB, (iii) Workers are reskilled and upskilled to compensate for AI limitations, (iv) AI interface stimulates worker engagement, (v) Algorithmic bias requires IWB, and (vi) AI works as a general-purpose tool for IWB. In contrast to prior reviews, which generally focus on the apparent transformational strengths of AI in the workplace, this review primarily identifies AI limitations before suggesting that the limitations could also drive innovative work behaviour. Propositions are included after each theme to encourage future research.

Can robots recover a service using interactional justice as employees do? A literature review-based assessment

Interactional justice (e.g., empathy) plays a crucial role in service recovery. It relies on human social skills that would prevent it from automation. However, several considerations challenge this view. Interactional justice is not always necessary to recover service, and progress in social robotics enables service robots to handle social interactions. This paper reviews service recovery and social robotics literature and addresses whether service robots can use interactional justice as frontline employees do during service recovery. Results show service robots can replicate interactional justice norms, although with some considerations. Accordingly, we propose a research agenda for future studies.

Exploring the antecedents of customers’ willingness to use service robots in restaurants

This study examines the willingness of customers to accept, and their intention to recommend, the services provided by service robots in restaurants. A mixed-methods research approach was taken to evaluate a theoretical model based on behavioural reasoning theory (BRT). The results demonstrated the important influence of positive attitudes and objections to the use of service robots on consumers’ willingness to use service robots, as well as their intention to recommend restaurants that use them. Among the main aspects that affect attitudes and objections, we found hedonic perceptions, perceived safety, interaction quality perception and anthropomorphism.

Organizational Ambidexterity as an Outcome of Quality Dimensions and Triple Helix: The Role of Technology Readiness and User Satisfaction

Advancing times and rapidly developing technology put pressure and responsibility on the management of organizations. Organizational ambidexterity is a concept for an organization that can balance profitability with innovation and development. This study examined the relationship between the triple helix and quality dimensions on organizational ambidexterity mediated by technology readiness and user satisfaction to give management an advantage in addressing this problem. Quantitative analysis methods using PLS-SEM (Partial Least Square-Structural Equation Modeling) were employed in this study. This study was conducted in Indonesia with 425 respondents participating in the data collection, 411 of which were declared valid after filtering. The results of this study demonstrate that the role of the triple helix in developing organizational ambidexterity is very significant and that other variables, such as quality dimensions and technology readiness, also play an essential role. The framework for organizational ambidexterity presented in this study may be helpful for future research in this field. This study can be further developed for future research, especially by adding new external variables that change over time and focusing more on a specific organization. At the very least, this study is relevant for researchers and practitioners to improve business quality using the concept of the triple helix, quality dimensions, and technology readiness.

An Impact Evaluation of the Application of Sharing Products in Tourism Services

This study is a discussion on the feasibility of, application, and promotion of sharing products in tourism services. The promotion and application of the current sharing concept are mostly aimed at a wide range of urban populations or urban service systems, while research on applications of the concept that target tourism services are few. This study hopes to demonstrate that, with the introduction of the sharing concept into the tourism industry, tourism services will benefit from sharing tourism products. Adopting the TAM model, the study surveyed tourists in the form of a questionnaire and obtained its data from 410 participants. The research investigated tourists’ attitudes towards sharing tourism products and the impact of sharing products in tourism services. In the SEM model test and analysis, we found that: (1) sharing tourism products is acceptable to tourists; (2) sharing tourism products brings tourists good travel experiences and improves the quality of tourism services in scenic spots; and (3) tourists can have their special needs and concerns met by sharing tourism products. These prove that tourist sharing products are a scientific and effective way for the tourism industry to improve the travel experience of tourists and to optimize the tourism service industry, and that the sharing concept is in agreeance with the climate of current economic development and the diversified needs of consumers. This research focuses on the promotion of the sharing concept in seaside tourism services. In future research, we can also try to improve the user experience, assist service management, and build a healthy economic ecological model with the application of the sharing concept in different service models and business venues.

Programmatic advertising in online retailing: consumer perceptions and future avenues

Purpose

Digital advertising enables retailers to rely on large volumes of data on consumers and even leverage artificial intelligence (AI) to target consumers online with personalised and context-aware advertisements. One recent example of such advertisements is programmatic advertising (PA), which is facilitated by automatic bidding systems. Given that retailers are expected to increase their use of PA in the future, further insights on the pros and cons of PA are required. This paper aims to enhance the understanding of the implications of PA use for retailers.

Design/methodology/approach

A theoretical overview is conducted that compares PA to traditional advertising, with an empirical investigation into consumer attitudes towards PA (an online survey of 189 consumers using an experimental design) and a research agenda.

Findings

Consumer attitudes towards PA are positively related to attitudes towards the retailer. Further, perceived ad relevance is positively related to attitudes towards PA, which is moderated by (1) consumer perceptions of risks related to sharing their data with retailers online and (2) consumer perceptions of AI's positive potential. Surprisingly, the disclosed use of AI for PA does not significantly influence consumer attitudes towards PA.

Originality/value

This paper contributes to the literature on technology-enabled services by empirically demonstrating that ad relevance drives consumer attitudes towards PA. This paper further examines two contingencies: risk beliefs related to data (i.e. the source of PA) and perceptions of AI (i.e. the somewhat nebulous technology associated with PA) as beneficial. A research agenda illuminates central topics to guide future research on PA in retailing.

Predicting the Intention and Adoption of Near Field Communication Mobile Payment

With the increasing use of mobile devices and new technologies, electronic payments, such as near field communication (NFC) mobile payments, are gaining traction and gradually replacing the currency-based cash payment methods. Despite multiple initiatives by various parties to encourage mobile payments, adoption rates in developing countries have remained low. The purpose of this research is to explore the prime determinants of NFC mobile-payment adoption intention and to develop a model of mobile payment adoption that includes perceived risk (PR) as one of the major elements by extending the UTAUT2 theory components. An online survey was used to acquire data from 370 NFC mobile payments users for the current study. To validate the components and their correlations, structural equation modelling (SEM) was implemented. According to the findings, performance expectancy (PE), hedonic motivation (HM), social influence (SI), and facilitating conditions (FC) have substantial impacts on the consumers' intentions to adopt NFC mobile payments (INFC). Effort expectancy (EE) and PR were reported to have no considerable effects on the adoption intention. In addition, INFC is revealed to be a major mediator between the associations of the actual adoption of NFC mobile payment (ANFC) with PE, HM, and SI. The findings of the study would assist providers and marketers in better understanding of the consumers' behavior, designing effective marketing strategies to enhance the consumers' positive intentions, and achieving the mass adoption of NFC mobile payments in different environmental contexts.

Experiential AR/VR: a consumer and service framework and research agenda

Purpose

The paper focuses on extended reality technologies and their potential contribution to the improvement of services. First, it identifies extended reality technologies (AR/VR) as the most promising interfaces to enable an experiential consumption of the services. It then summarises their properties and discusses similarities and differences. Last, it maps these technologies onto a consumer psychology framework of experience to derive possible areas of future research.

Design/methodology/approach

The authors conduct a literature review and present a conceptual framework of AR/VR contributions on experience.

Findings

The study provides an up-to-date literature review including AR and VR applications for consumer and service experience, as well as recommendations for possible research directions.

Originality/value

Whereas previous contributions adopted the same, experiential approach but focused on different technology (e.g. AI) or considered multiple interfaces and their impact on the consumer journey (mostly transactions), this paper aims at digging deeper into AR/VR, while retaining an experiential view on consumption that best serves the contextualisation of AR/VR.

Living and working with service robots: a TCCM analysis and considerations for future research

Purpose

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

Design/methodology/approach

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

Findings

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

Originality/value

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.