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This paper aims to provide researchers and practitioners with a consumer-focused alternative for considering the integration of artificial intelligence (AI) into services.

The paper reviews and critiques the most popular frameworks for addressing AI in service. It offers an alternative approach, one grounded in social psychology and leveraging influential concepts from management and human–computer interaction.

The frameworks that dominate discourse on this topic (e.g. Huang and Rust, 2018) are fixated on assessing technology-determined feasibility rather than consumer-granted permissibility (CGP). Proposed is an alternative framework consisting of three barriers to CGP (experiential, motivational and definitional) and three responses (communicate, motivate and recreate).

The implication of this research is that consistent with most modern marketing thought, researchers and practitioners should approach service design from the perspective of customer experience, and that the exercise of classifying service occupation tasks in terms of questionably conceived AI intelligences should be avoided.

Indicative of originality, this paper offers an approach to considering AI in services that is nearly the polar opposite of that widely advocated by e.g., Huang et al., (2019); Huang and Rust (2018, 2021a, 2021b, 2022b). Indicative of value is that their highly cited paradigm is optimized for predicting the rate at which AI will take over service tasks/occupations, a niche topic compared to the mainstream challenge of integrating AI into service offerings.

Prior research on green innovation has shown that institutional pressure stimulates enterprises to adopt green innovation. However, an institutional perspective does not explain why firms that face the same amount of institutional pressure execute different environmental practices and innovations. To address this research gap, the authors linked institutional theory with upper echelons theory and organization performance to build a comprehensive research model.

A total of 800 questionnaires were issued. The final usable questionnaires were 195, yielding a response rate of 24.38%. AMOS 23.0 was used to analyze the data and examine the relationships between the constructs in our model.

Institutional pressures affected both green innovation adoption (GIA) and the top management team's (TMT's) response. TMT's response influenced GIA. GIA was an important factor affecting firm performance. Furthermore, TMT's response mediated the relationship between institutional pressure and GIA. Institutional pressures indirectly affected green innovation performance but did not influence economic performance through GIA. Finally, TMT's response indirectly impacted firm performance through GIA.

The authors draw on institutional theory, upper echelons theory, and a performance-oriented perspective to explore the antecedents and consequences of GIA. This study has interesting implications for leaders and managers looking to implement green innovation and leverage it for firm performance to out compete with market rivals as well as to make the changes in collaboration with many other companies including market rivals to gain success in green innovation.

Integrating economic and green initiatives into firm strategies is a challenge for firms in various industries. The study aims to incorporate multiple views, i.e. green innovation theory (GIT), the green institutional perspective (GIP) and the natural-resource-based view (NRBV), to develop a comprehensive model to explore why and how firms implement green product innovation (GPI).

The study explores the relationships among institutional pressure, the firm's green resources and GPI. The research also distinguishes two different types of GPI: exploratory GPI and exploitative GPI. A total of 270 valid questionnaires were collected from electrical and electronics manufacturers in Taiwan. The authors employed structural equation modeling (SEM) using analysis of moment structures (AMOS) 23.0 to test the hypotheses.

The results show that institutional pressure has a significant positive correlation with the firm's green resources. Furthermore, institutional pressure has a significantly positive influence on exploratory GPI and exploitative GPI, respectively. The firm's green resources also have a significantly positive effect on both exploratory GPI and exploitative GPI. In addition, institutional pressures have significantly positive indirect effect on both exploratory GPI and exploitative GPI.

Economic benefits and environmental sustainability are the most pressing issues faced by the electrical and electronics industry today. The study's investigation covers Taiwanese electrical and electronics manufacturers only, so the test of the research model has limited generalizability. The authors suggest that to expand the generalizability of the findings, future research should examine this model in the context of other regions such as Southeast Asia, Africa, South America, etc.

The study has many interesting implications for both practitioners and policymakers. The authors' findings suggest that while Taiwanese electrical and electronics manufacturers face significant pressure from customers, competitors and regulation requirements (e.g. waste electrical and electronic equipment [WEEE], restriction of hazardous substances [RoHS] and energy using product [EuP] directives), firms in that sector should efficiently and effectively deploy their green resources and then perform proper GPI (e.g. exploratory GPI or exploitative GPI). These results also serve as a reminder to policymakers that balancing coercive (command-and-control) mechanisms with incentives and voluntary mechanisms is the best means by which to develop motivational and effective GPI policies.

First and foremost, the paper divides GPI into exploratory GPI and exploitative GPI. Furthermore, the research incorporates two important schools of thought, i.e. the GIP and NRBV, thus providing a more holistic view by which to explore why and how companies adopt GPI.

While robots have increasingly threatened frontline employees’ (FLEs) future employment by taking over more mechanical and analytical intelligence tasks, they are still unable to “experience” and “feel” to occupy empathetic intelligence tasks that can be handled better by FLEs. This study, therefore, aims to empirically develop and validate a scale measuring the new so-called empathetic creativity as being creative in practicing and performing empathetically intelligent skills during service encounters.

This study adopts a multistage design to develop the scale. Phase 1 combines a literature review with text mining from 3,737 service robots-related YouTube comments to generate 16 items capturing this new construct. Phase 2 assesses both face and content validity of those items, while Phase 3 recruits Prolific FLEs sample to evaluate construct validity. Phase 4 checks this construct’s nomological validity using PLS-SEM and Phase 5 experiments dedicated effort (vs natural talent) as an effective approach to foster FLEs’ perceived empathetic creativity.

The final scale is comprised of 13 refined items that capture three dimensions (social, interactive and emotional) of empathetic creativity. This research provides timely implications to help FLEs in high-contact services stay competitive.

This study introduces the new construct of empathetic creativity, which goes beyond the traditional definition of creativity in services and highlights the importance of empathetic intelligence for FLEs in future employment. This study also develops a multi-item scale to measure this construct, which can be applied to future service management research.

Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid obstacles in time as he/she wishes through demonstrations. This paper aims to address the above problem by proposing an approach that combines human supervision with the kernelized movement primitives (KMP) model.

This approach first extracts the reference database used to train KMP from demonstrations by using Gaussian mixture model and Gaussian mixture regression. Subsequently, KMP is used to modulate the trajectory of robotic end-effectors in real time based on feedback from its interaction with humans to avoid obstacles, which benefits from a novel reference database update strategy. The user can test different obstacle avoidance trajectories in the current task until a satisfactory solution is found.

Experiments performed with the KUKA cobot for obstacle avoidance show that this approach can adapt the trajectories of the robotic end-effector to the user’s wishes in real time, including trajectories that the robot has already passed and has not yet passed. Simulation comparisons also show that it exhibits better performance than KMP with the original reference database update strategy.

An interactive learning approach based on KMP is proposed and verified, which not only enables users to plan the trajectory of robotic end-effectors for obstacle avoidance more conveniently and efficiently but also provides an effective idea for accomplishing interactive learning tasks under constraints.

This study aimed to explore teachers' learning processes through a hybrid cross-cultural lesson study (LS) because little is known about the learning process through this novel and promising LS approach.

This cross-cultural LS lasted over six months focusing on developing a research lesson (RL) related to linear functions/equations by addressing a commonly concerned student learning difficulty. The data collected were lesson plans, videos of RLs, cross-culture sharing meetings and post-lesson study teacher interviews. A cultural-history activity theory (CHAT) perspective (Engeström, 2001) was used as a theoretical and analytical framework, and contradictions were viewed as driving forces of teachers' learning. The data were analyzed to identify contradictions and consequent teachers' learning by resolving these contradictions.

The results revealed four contradictions occurring during the hybrid cross-cultural LS that are related to the preferred teaching approach, culturally relevant tasks, making sense of the specific topic and enactment of the RL. By addressing these contradictions, the participating teachers perceived their learning in cultural beliefs, pedagogical practice and organization of the lesson.

This study details teachers' collaborative learning processes through hybrid cross-cultural LS and provides implications for effectively conducting cross-cultural LS. However, how the potential learning opportunity revealed from this case could be actualized at a larger scale in different cultures and the actual impact on local practices by adapting effective practices from another culture are important questions to be investigated further.

This study expands teacher learning through cross-cultural LS by focusing on contradictions cross-culturally as driving forces.

This paper examines how mathematics teacher educators (MTEs) learn to enact equitable mathematics instruction using technology through lesson study (LS).

A LS team with three MTEs conducted three iterations of LS on teaching the Pythagorean Theorem in an in-person, technology-mediated environment. Many forms of data were collected: Desmos activities, videos of research lessons (RLs), videos of MTE RL debriefings, artifacts of student learning in the Desmos Dashboard, and MTEs' written self-reflection. The authors investigate the teacher educators' learning through LS by analyzing the MTE debriefings of the RLs using Bannister’s (2015) framework for teacher learning in communities of practice.

The MTEs learned to enact equitable mathematics instruction using technology through addressing emerging issues related to intellectual authority and use of student thinking. Throughout the LS, the MTEs sought ways of promoting students' mathematical authority and using student thinking through features of the Desmos platform.

This study focuses on MTEs' learning without examining participating preservice teachers' learning. It demonstrates the benefits of LS for MTEs' professional learning.

This study showcases how a research-based Desmos activity is used and refined to promote MTE learning how to implement equitable mathematics instruction.

The study contributes to better understanding of how LS could be used to develop MTEs' professional learning. Moreover, the dual process of participation and reification was concretized through diagnostic and prognostic frames in the LS context, which enriches the concept of community of practice.

This study aims to investigate the effect of virtual reality experience quality on destination visit intention and virtual reality travel intention through the technology acceptance model (TAM).

Quantitative data gathered from questionnaires applied to 198 people after undertaking an imaginary three-dimensional (3D) destination experience were analyzed with PLS-SEM.

Virtual reality experience quality influences perceptions and intentions. The perceived ease of use affects perceived usefulness, perceived usefulness effects attitude and destination visit intention, while perceived risk affects only virtual reality travel intention. Attitude affects both intentions.

The main limitation of the study relates to the quality of the experience offered, which is limited to the technical capacity of the virtual reality glasses used. Virtual reality can be used as a new economic offering and create a realistic destination experience. Virtual reality experience quality is an important determinant of intention in physical and imaginary travels, in shaping perceptions and minimizing travel risks. The explanatory power of the model can be increased by adding the perceived risk variable to TAM. The study has brought new perspectives, new insights and suggestions for developing tourism.

In the study, a 3D imaginary destination with its mise-en-scène and story, which includes more than one destination type, was designed. This study contributes to the literature by analyzing real and virtual visit intentions, combining the fields of the experience economy, risk perception and TAM.

本研究通过应用技术接受模型, 探讨虚拟现实体验质量对目的地参访意愿和虚拟现实旅游意愿的影响。旨在识别这些变量之间存在的关系, 并解释这些关系的因果链接。

本研究从198名参与虚拟三维目的地体验后填写的问卷中获得定量数据并通过PLS-SEM方法进行分析。

虚拟现实体验的质量影响用户的感知和意愿。虚拟现实旅游意愿仅受感知风险的影响。感知易用性影响感知有用性。意愿受态度影响, 但感知有用性不影响虚拟现实旅游。

本研究的主要局限性与提供的体验质量有关, 该质量受到虚拟现实眼镜技术能力的限制。虚拟现实可以作为一种新的经济提供方式进行开发。通过将感知风险变量添加到技术接受模型中, 可以增加模型的解释力。本研究为旅游业的发展提供了新的视角、见解和建议, 并解释了虚拟现实提供的真实目的地体。

为了研究的目的, 本研究设计了一个虚拟的三维目的地, 包含多个目的地类型。该目的地有自己的布景和故事情节。本研究通过分析真实和虚拟参访意愿的领域, 将体验经济、风险感知和技术接受模型领域相结合, 为文献做出了贡献。

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive evaluations and affective responses.

A mixed-method approach combining qualitative and quantitative methods was used to develop measurement and test research hypotheses.

The results show that five cognitive evaluations (i.e. cuteness, coolness, courtesy, utility and autonomy) significantly influence consumers’ positive affect, leading to customer acceptance intention. Four cognitive evaluations (cuteness, interactivity, courtesy and utility) significantly influence consumers’ negative affect, which in turn positively affects consumer acceptance intention.

This study provides significant implications for the design and implementation of service robots in the hospitality and tourism sector.

Different from traditional technology acceptance models, this study proposed a model based on the hierarchical relationships of cognition, affect and conation to enhance knowledge about human–robot interactions.

Firms aiming to enhance firm performance require specific investment and qualification of capability. However, the relationship between these factors and firm performance is influenced by boundary conditions. This study focuses on the role of shared values as a governance mechanism in moderating the relationship between specific investment, qualification of capability, and firm performance.

Drawing on transaction cost analysis, the authors develop a theoretical model to explore how shared values moderate the relationship between specific investment, qualification of capability, and firm performance. The authors collected data from 156 firms in Cote d’Ivoire, resulting in a sample of 216 observations. The authors employed hierarchical regression analysis and the “pick-a-point approach” to examine how specific investment and qualification of capability impact firm performance at different levels of shared values.

The results indicate that specific investment and qualification of capability have a partially positive impact on firm performance. Interestingly, shared values are an important moderating variable, acting as a boundary condition that affects the relationship between specific investment, qualification of capability, and firm performance. Specifically, specific investment leads to excellent firm performance only when shared values are not sufficiently high, whereas qualification of capability leads to superior firm performance only when shared values are sufficiently high.

This study has three research implications. First, this study enriches TCA literature by identifying shared values as a boundary condition and examining the moderating role of shared values. Second, the study findings discover new insights into how specific investment and qualification of capability enhance or inhabit organizational performance at different levels of shared values. Third, this study extends the existing research and reveals the specific conditions for positive or negative relationships between specific investment and organizational performance and qualification of capability and organizational performance.

First, compared to specific investment, qualification of capability has greater effect on organizational performance. Second, when considering whether to increase specific investment or/and improve qualification of capability, executives are encouraged to first evaluate their firm's level of shared values and then make appropriate strategic decision accordingly. Third, six tactics are recommended for enhancing shared values.

This study enriches the literature on transaction cost analysis and contributes to understanding the moderating role of shared values. The findings shed light on the specific investment, qualification of capability, and firm performance relationships. Additionally, this research highlights the importance of considering shared values as a boundary condition in examining these relationships.