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To investigate (1) the relationship between young adults' behavioural brand loyalty (BBL) and Japanese fashion companies' financial performance (FP) and (2) FP improvement from the perspectives of social media brand engagement (BE) and loyalty programmes (LPs) by applying the complexity theory.

A mixed methodology was employed by combining qualitative and quantitative approaches to examine the prediction of outcomes by various variables in a realistic context. The integrated model associated BE and LPs with BBL and FP, which are essential for fashion companies. We selected 14 fashion brands belonging to 14 publicly traded Japanese fashion companies and surveyed 183 Japanese consumers (aged 18–25 years) who chose these brands as their favourites, engaged with the brands and participated in LPs.

The findings reveal the positive and negative effects of the variables (BE and LP) on the outcomes (short- and long-term FP). They offer marketing implications regarding brand strategy and financial improvement by considering various combinations of causal factors and complex situations, such as the fashion brands' and consumers' characteristics.

Existing empirical studies consider consumers' symmetric reactions to the benefits and losses from variables (BE, LP and BBL) but do not realistically reveal the negative and positive effects on outcomes (FP). This study addresses this gap by applying the complexity theory and offers multiple solutions to target different consumer types to predict high FP.

AI-powered digital human avatar influencer (DHAI) is a digitally created character with a human-like appearance and noteworthy social media presence. They mimic human behavior through form, behavior and emotional realism. However, there have been varied viewpoints in the literature about the effect of DHAI realism on consumer response. Therefore, this study aims to examine the effect of form, behavioral and emotional realism on consumer engagement and parasocial relationships that further affect attachment toward DHAI and brand, with the moderating effect of content authenticity.

Using a cross-sectional design, 426 respondents in India were asked to visit the Instagram page of a specific DHAI identified through a pretest study. The authors used the Smart PLS 4.0 version to examine the hypotheses.

Accordingly, based on the social presence theory, the findings of the quantitative study indicated that DHAI’s form, behavioral and emotional realism positively influence customers’ engagement with DHAI, but only the behavior and emotional realism of DHAI positively affect the parasocial relationship. Further, perceived DHAI’s content authenticity moderates the effect of DHAI engagement and parasocial relationship on DHAI sentimental attachment.

This study provides novel and practical insights for developing DHAI by considering realism characteristics for enhanced customer engagement, parasocial relationship and attachment toward DHAI and brands.

This study aims to discover the impact of the interaction between learning performance (as behavioral realism) and realistic appearance (as form realism) of AI-powered software robots on user trust. The study also aims to reveal how and why the interaction happens, especially from the dual processing perspective of affective and cognitive human responses.

We adopted an experimental research methodology in a movie recommendation system environment where machine learning-based recommendations are widely used. We conducted a 3 × 2 factorial design experimentation based on the three levels of learning performance (low, mid and high) and two levels of realistic appearance (caricature avatar and digital human). We used ANCOVA and the PROCESS Macro to analyze our models.

Our results confirm that learning performance (intelligence) is a critical factor influencing user trust in software robots, and this intelligence–trust relationship is influenced by their realistic appearance. Our results further reveal that there are two significant intermediating mechanisms, i.e. affective and cognitive user responses, and that the intelligence–appearance interaction effect on trust is explained especially by the affective response mechanism.

This study provides valuable implications for creating optimal learning performance and realistic appearance that can lead to trust in various settings where AI-powered software robots are utilized.

This study has sveral contributions to the literature. First, in addition to the well-recognized factor of anthropomorphic characteristics, this study investigates another critical behavioral factor of AI-powered robots (learning performance as intelligence characteristics) and the intriguing interaction between the two realism factors. Second, drawing upon the mediated moderation perspective, the study proposes a novice perspective on how and why the two realism factors can build user trust (the underlying mechanisms).

This study aims to provide insights and guidance for future research on service robot acceptance in the tourism and hospitality (T&H) domain through a comprehensive literature review.

A total of 249 journal articles, retrieved from the Scopus and Web of Science databases, were reviewed using an inductive analysis method.

Since its emergence in 2008, the topic of robot acceptance has gained significant attention, especially after 2019. The research assesses the current state of research, methodologies used, theoretical foundations and antecedents influencing acceptance. Five categories of antecedents affecting acceptance were systematically identified: robot design factors, individual/organisational factors, situational factors, appraisal factors and affective factors.

This study provides a comprehensive overview of the current landscape of service robot acceptance research. It offers insights and theoretical directions to advance research in the T&H domain.

本研究旨在通过全面的文献综述, 为未来旅游与酒店(T&H)领域服务机器人接受的研究提供见解与指导。

本文采用归纳分析法对检索自Scopus和Web of Science数据库的249篇期刊文章进行分析。

自2008年出现第一篇研究机器人接受的文章以来, 机器人接受话题得到了极大关注, 尤其是在2019年之后。本研究评估了研究现状、方法、理论基础及影响接受的前因。系统性地归纳出影响机器人接受的五类前因：机器人设计、个体与组织、情境、评价及情感因素。

本研究全面概述了服务机器人接受研究的现状, 为推进旅游与酒店领域的研究进展提供了深刻见解与理论指导。

Este estudio tiene como objetivo proporcionar ideas y orientación para futuras investigaciones sobre la aceptación de robots de servicio en el ámbito del turismo y la hospitalidad (T&H) a través de una extensa revisión de la literatura.

Se revisaron un total de 249 artículos académicos, obtenidos de las bases de datos Scopus y Web of Science, utilizando un método de análisis inductivo.

Desde su aparición en 2008, el tema de la aceptación de robots ha recibido una atención significativa, especialmente después de 2019. La investigación evalúa el estado actual de la investigación, las metodologías empleadas, las bases teóricas y los factores que influyen en la aceptación. Se identificaron de manera sistemática cinco categorías de antecedentes que afectan la aceptación: factores de diseño del robot, factores individuales/organizacionales, factores situacionales, factores de evaluación y factores afectivos.

Este estudio proporciona una visión integral del panorama actual del panorama actual de la investigación sobre la aceptación de robots de servicio. Ofrece ideas y direcciones teóricas para avanzar en la investigación en el ámbito de T&H.

This study aims to inspect the impact of US climate policy uncertainty (CPU) on the economic growth of Asian countries with the moderating role of crude oil price (COP) changes.

The Im-Pesaran Sin and Fisher-type tests are used for stationarity check, while Kao and Pedroni tests are used for cointegration analysis. The Hausman test is applied for model selection, where pooled mean group autoregressive distributed lag (PMG/ARDL) has been selected and applied. Besides, the fully modified ordinary least squares is also used for robustness analysis. Additionally, the literature review and descriptive statistics have been used.

The main findings disclosed that US CPU negatively impacted the economic growth of Asian economies with high significance in the long run whereas insignificant in the short run. The results further concluded that COP positively affected economic growth both in the short and long run. Furthermore, the results also revealed that COP significantly and positively moderates the relationship between CPU and COP in the long and short run.

The study is the first of its kind to examine the impact of the US CPU on the economic growth of Asian economies. Second, it further revealed the moderating role of COP between US CPU and economic growth. Third, a large panel of data from Asian countries has been considered. Fourth, the study adds to the current literature by using the PMG/ARDL model to determine the impact of US CPU on economic growth. Additionally, this study focuses on the US CPU because it is a developed country playing a significant role in energy and climate issues, and has been very uncertain.

This study aims to explore the global issues of impulse buying, compulsive purchasing and materialism. It examines how materialism relates to self-esteem and the tendencies for impulsive and compulsive buying. In addition, the study delves into the impact of religiosity on self-esteem and materialistic values in an Islamic country.

Enumerators visited universities, distributing 415 questionnaires and receiving 397 in return. Due to the unavailability of a sample frame for the target population, the study used nonprobability sampling for statistical analysis, which included assessments of normality, reliability, validity and bootstrapping for the structural model, the researchers used Smart PLS.

The study confirmed 13 hypotheses while rejecting four. The unsupported hypotheses are: (i) materialism negatively impacts impulsive purchasing behavior, (ii) impulsive purchasing does not mediate the relationship between materialism and compulsive purchasing, (iii) materialism does not mediate the relationship between religiosity and impulsive purchasing and (iv) in an Islamic country, neither materialism nor impulsive purchasing significantly mediates the relationship between religiosity and compulsive purchasing.

This study was conducted in a city within a developing Islamic nation, focusing on college students. It suggests that future research could include more cities, a diverse population segments and multicultural perspectives. The research primarily examined the direct relationships between religiosity and factors such as self-esteem, materialism and impulsive purchasing. Future studies could explore religiosity as a mediating factor. This study highlights that materialism (M), impulsive buying (IB) and compulsive buying (CB) are not only closely interconnected but also adversely affect individual, family and societal well-being, raising global concerns. While occasional impulsive behavior is common among individuals in Islamic nations, repeated indulgences in the same behavior could lead to an obsession with excessive purchasing.

This study holds significant implications for consumers and retailers. Excessive and unnecessary spending can increase financial burden and adversely affect family welfare. Often, families and acquaintances inadvertently teach children to engage in extreme purchasing behaviors. To combat this, families and religious leaders should educate individuals about the detrimental effects of impulsive and compulsive purchasing. In addition, colleges and other institutions should organize seminars and workshops to address these issues. Retailers, whose sales largely depend on impulsive and compulsive consumers, should employ interpersonal influencers and brand advocates to connect with this customer segment effectively.

This study examined the relationship between religiosity, materialism, self-esteem and impulsive and compulsive purchasing behaviors. This study thoroughly tested 17 hypotheses, encompassing direct, mediating and multimediating relationships. The findings reveal that materialism’s impact on impulsive behavior is negligible compared to previous research, corroborating the findings presented in the cited literature.

This paper aims to explore customers’ pro-environmental behaviors (PEBs) adopted at hotels that implement green practices. A method to examine the gap between self-reported and actual PEBs is presented.

The empirical study is divided in two parts. The first one comprised a survey questionnaire administered to 136 customers who stayed in Portuguese hotels (Sample 1). The second one consisted of 495 in-room consumer PEBs observations (Sample 2). A method was developed to compare self-reported and actual PEBs, combining the answers given to the questionnaire and the observed PEBs implemented by customers during their stay. The aggregate observations of in-room consumer’s PEBs enabled the development of an index to assess the actual PEBs (ACTUALPEBI). This index was then compared with the self-reported PEB index (REPORTEDPEBI).

The majority of guests indicated adopting environmentally friendly practices while at the hotel, and 50% of REPORTEDPEBI rank similarly to ACTUALPEBI.

Understanding and measuring both actual and reported PEBs of guests offers valuable insights for hotel managers and marketers. This information can be used to target specific consumer segments with green marketing campaigns and develop educational programs that effectively encourage guest participation in hotel sustainability efforts. While the survey participants were international, the research itself was limited to hotels in Portugal. Therefore, future research should involve more participants and be conducted across different countries.

Understanding and measuring both actual and reported PEBs of guests offers valuable insights for hotel managers and marketers. This information can be used to target specific consumer segments with green marketing campaigns and develop educational programs that effectively encourage guest participation in hotel sustainability efforts.

This study proposes an alternative method for analyzing customers’ PEBs by observing actual PEBs during their stay and comparing them to self-reported PEBs, thereby reducing answer biases.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

This paper aims to identify and report the differential effects of activity control and capability control on role stressors, which subsequently affect salespeople’s job satisfaction and sales performance.

Drawing on job demands-resources (JD-R) theory, the authors defined active control and customer demandingness as the job demands and capability control as the job resource, and designed their relationship with role stressors, which are indicated as role ambiguity, role conflict and role overload. The authors enrolled a sample of 223 industrial salespeople from pharmaceutical companies. After collecting the data, the authors used structural equation modeling using AMOS to test and estimate causal relationships along with a two-step approach to examine the interaction effect. The authors have also tested the simple slope of two-way interactions. All of the measured variables were identical to those used in previous studies.

The study findings indicate that behavior-based control can be counterproductive. Reducing activity control can decrease role stress, increase job satisfaction and improve job performance; increasing capability control, however, can reduce role stress and increase job satisfaction and performance. It is also important to acknowledge the external environment of the sales context in which behavior-based control is most effective: whereas high customer demandingness and capability control are related to reduced role stress, high customer demandingness and activity control are related to increased role stress.

Sales managers should recognize that different control management regimes reinforce or mitigate salespeople’s job stressors and outcomes under specific conditions (i.e. work environments marked by higher or lower customer demandingness).

Drawing on JD-R theory, the research shows that a behavior control (i.e. activity control and capability control) has differential, and even opposite, psychological consequences.