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Avatars have become increasingly prevalent on brand websites, yet their impact on consumers' use of these sites remains underexplored. The current study focuses on avatars, which are three-dimensional animated graphical web interfaces that verbally aid the brand stakeholders (e.g. customers, employees and suppliers). Avatars provide administrative and technical information through the brand website. Drawing upon the stimuli–organism–response (S-O-R) paradigm, this research examines the impact of avatars as an information provision and interacting tool (vs a traditional format) on consumers' perceptions, attitudes and behaviors toward a brand. It also investigates the roles of familiarity with avatar use and the language used by an avatar in shaping consumers' responses.

Across two laboratory experiments, the authors examined and confirmed causal relationships between the use of avatars (vs a traditional format) on a website and attitudinal and behavioral constructs.

We show that avatars (vs written information) had a significant effect on controlling information. The users in our experiments had greater control over the information provided when it was presented as text on a website compared to the case of avatars “telling” the information. Different languages and familiarity with avatar use also affected the consumers' hedonism in terms of website use.

We advance the understanding of avatar use in website design, particularly avatars' verbal interaction, in shaping consumers' cognitive, affective, attitudinal and behavioral responses and add important empirical evidence to the growing body of research and practices involving avatar use in interactive marketing.

Artificial intelligence (AI) technology has revolutionized customers' interactive marketing experience. Although there have been a substantial number of studies exploring the application of AI in interactive marketing, personalization as an important concept remains underexplored in AI marketing research and practices. This study aims to introduce the concept of AI-enabled personalization (AIP), understand the applications of AIP throughout the customer journey and draw up a future research agenda for AIP.

Drawing upon Lemon and Verhoef's customer journey, the authors explore relevant literature and industry observations on AIP applications in interactive marketing. The authors identify the dilemmas of AIP practices in different stages of customer journeys and make important managerial recommendations in response to such dilemmas.

AIP manifests itself as personalized profiling, navigation, nudges and retention in the five stages of the customer journey. In response to the dilemmas throughout the customer journey, the authors developed a series of managerial recommendations. The paper is concluded by highlighting the future research directions of AIP, from the perspectives of conceptualization, contextualization, application, implication and consumer interactions.

New conceptual ideas are presented in respect of how to harness AIP in the interactive marketing field. This study highlights the tensions in personalization research in the digital age and sets future research agenda.

This paper reveals the dilemmas in the practices of personalization marketing and proposes managerial implications to address such dilemmas from both the managerial and technological perspectives.

This is one of the first research papers dedicated to the application of AI in interactive marketing through the lenses of personalization. This paper pushes the boundaries of AI research in the marketing field. Drawing upon AIP research and managerial issues, the authors specify the AI–customer interactions along the touch points in the customer journey in order to inform and inspire future AIP research and practices.

The main purpose of this study is to fill the research gap on how B2B global service firms integrate dynamic capabilities within their omnichannel management to influence positive word of mouth (WOM), customer engagement (CE) and customer equity.

Drawing on the dynamic capability and WOM theories, a model has been developed that defines the subjects of the empirical test. The paper reports on data collected from 312 service-oriented global firms in Australia, through a cross-sectional survey. Data were analyzed using structural equation modeling.

The findings suggest that content management (i.e. information consistency, source trustworthiness and endorsement) and concerns management (i.e. privacy, security and recovery) capabilities are the two significant antecedents of positive WOM within a B2B omnichannel setting in international marketing. The findings also confirm the key mediating role of CE between positive WOM and customer equity.

The findings extend dynamic capability theory in the context of international marketing by linking WOM, CE and customer equity. The findings add further theoretical rigor by establishing the nomological chain between positive WOM and customer equity, in which CE plays a key mediating role.

The purpose of this paper is to simulate the tension process of tension-type anchor cable and to explore the mechanical characteristics and tension-torsion coupling effect of anchor cable subjected to tension.

ABAQUS numerical software is applied to construct the numerical models of tension-type anchor cables with different diameters. Through explicit contact, the characteristics of contact between grouting body-anchor cable and grouting body-rock mass are determined. Confining pressure is applied to the model through surface pressure, and drawing force is applied to the model by displacement loading so as to simulate the tension process of the anchor cable.

The results show that the stress is transmitted in both axial and radial directions in the anchorage section and distributed in a cone. The shear stress in the grouting body is unevenly distributed, and its peak value increases with the rise in confining pressure and anchor cable diameter. The stress characteristics of torque and axial force are basically consistent and evenly distributed in the free section; they gradually decrease in the anchorage section. Due to the tension-torsion coupling effect, the internal stress characteristics of the anchor cable structure vary. On average, the anchorage performance of each anchor cable model is improved by 6.19%.

The proposed method of numerical modelling is effective in addressing the interface contact between the anchor cable and the grouting body and in solving the problem with convergence of calculation. Compared with the indoor test, this method is more suited to collecting the internal mechanical data of the anchor body.

This study aims to investigate whether the increasing robot adoption will affect employment rate and wages to contribute to the economic cycle and sustainable development in the world.

The authors introduce a two-way fixed effect model and ordinary least-squares (OLS) model to evaluate the influence based on relevant data of the eighteen countries with the largest robot stocks and robot densities in the world from 2006 to 2019 to test the influences and do the robustness test and endogeneity test by using empirical models.

The authors’ research findings suggest that increasing robot adoption can cause strong negative impacts on employment for both males and females in these economies. Second, the effect of robots on reducing job opportunities has penetrated different industries. It means that this negative impact of robots is comprehensive for the industry. Third, robot adoption can have a strong positive influence on wages and increase workers' incomes.

The limitations of the study are that the influence of industrial intelligence technologies on the circular economy is diversities in different countries. Thus, this study should consider the development levels of different economies to do additional confirmatory studies.

This study makes out the correlations between industrial robots and the employment market from the circular economy perspective. The result proves the existence of this influence relationship, and the authors propose some suggestions to promote sustainable economic development.

This paper addresses the activity of industrial intelligence technologies in the labor market. The employment market is an important part of the circular economy, and it will benefit social development if the government provides appropriate guidance for social investment and industrial layout.

This study is one of the few studies which considered the impact of industrial robots on employment and wages from the perspective of different industries, and this is very important for the circular economy in the world. The results of this paper provide an instructive reference for government policymakers and other countries to stabilize the labor market and optimize human resources for sustainable economic development.

In this age of extremely well-developed social media, it is necessary to detect any change in the corporate image of an enterprise immediately so as to take quick action to avoid the wide spread of a negative image. However, existing survey-based corporate image evaluation methods are costly, slow and static, and the results may quickly become outdated. User comments, news reports and we-media articles on the internet offer varied channels for enterprises to obtain public evaluations and feedback. The purpose of this study is to effectively use online information to timely and accurately measure enterprises’ corporate images.

A new corporate image evaluation method was built by first using a literature review to establish a corporate image evaluation index system. Next, an automatic text analysis of online public information was performed through a topic classification and sentiment analysis algorithm based on the dictionary. The accuracy of the topic classification and sentiment analysis algorithm is then calculated. Finally, three internet enterprises were chosen as cases, and their corporate image was evaluated.

The results show that the author’s corporate image evaluation method is effective.

First, in this study, a new corporate image evaluation index system is constructed. Second, a new corporate image evaluation method based on text mining is proposed that can support data-driven decision-making for managers with real-time corporate image evaluation results. Finally, this study improves the understanding of corporate image by generating business intelligence through online information. The findings provide researchers with specific and detailed suggestions that focus on the corporate image management of emerging internet enterprises.

This paper aims to explore the common ethical decision-making challenges faced by financial advisers and how they meet these challenges. The purpose is to identify successful decision-making tools used by investment advisers in doing business ethically. Additionally, the authors uncover common challenges and offer decision-making tools to provide support for supplemental ethics training in the future.

Questions were analyzed through a qualitative approach using individual interviews to examine a range of experiences and attitudes of active financial advisers. The sample was represented by 11 practicing financial advisers affiliated with US independent broker-dealers: six women and five men, each with 10 or more years of experience, ranging in age from 35 to 75. Grounded in four ethical decision-making models, this research examines individual ethical decision-making using individual (internal, personal) and organizational (external, situational) factors.

The method used uncovered struggles and revealed strategies used in making ethical decisions. Two research questions were examined: what are the common ethical decision-making challenges faced by financial advisers in the US financial industry? How do financial advisers handle ethical decision-making challenges? Four themes emerged that impacted ethical decision-making: needs of the individual, needs of others, needs of the firm and needs of the marketplace. Financial advisers identified moral obligation, self-control and consulting with others as major considerations when they contemplate difficult decisions.

A limitation of this review is its small sample size. A more robust sample size from investment advisers with a broader range of experiences could have widened the findings from the study.

Investment advisers can use the findings of this study as a tool for improving their own ethical decision-making or designing training for their employees to be better decision-makers.

The study explores the decision-making experiences of investment advisers to reveal multifaceted, often private struggles that qualitative methods can uncover. The study provides support for the development of additional training in ethical decision-making specific to investment advisers.

This study used attribution and social exchange theories as bases to test a model comprising the most significant variables, namely, perception, attitudes and positive behaviour. The current research concentrated on the effects of three variables (i.e. organisational justice, support and identity) on task performance and organizational citizenship behaviour via job satisfaction, organisational commitment and work engagement. Additionally, this study aims to determine the external locus of control’s moderator role.

A questionnaire-based quantitative design was used as basis in collecting data from 1,125 industrial sector (i.e. electricity and oil industry) employees in southern Iraq.

Analysis of data reinforced the majority of the relationships in the research model. Results showed the mediator variables’ significance in providing explanation to the majority of the relationships and the external locus of control’s role in moderating such relationships. Research outcomes were used as bases in discussing several theoretical and practical implications, as well as presenting a few recommendations for studies in the future.

This research centres on determining the antecedents of positive behaviours via six circumstantial variables and one personal variable in a single model. Moreover, this study is applied in a developing country’s industrial sector with a moderately large sample size to yield evident and significant outcomes. Consequently, practitioners and academics are provided with a reference on managing and changing workplace behaviour.

Based on The Conservation of Resources Theory (COR), Spillover Theory and Social Exchange Theory (SET), this study investigates the mediating role of job dedication in the relationships between job stress, happiness and perceived organizational support (POS).

Data were collected from 5-star resort hotel employees in Turkey. 362 valid questionnaires were collected. The research hypotheses were tested using Covariance-Based Structural Equation Modeling (CB-SEM).

The analysis results show that POS is positively related to employee happiness and job dedication. Job stress is negatively related to employee happiness but positively related to job dedication. Job dedication partially mediates the relationships between job stress and happiness, and POS and happiness.

The study's findings could be used by hotel managers to improve employees' job dedication, which will lead to increased employee happiness. Together with qualitative and quantitative research methods, future research could be conducted on the predecessors of job dedication and comparatively on employee happiness for different country samples.

In order to increase employee happiness, Turkish hotel managers may want to increase POS and decrease perceived job stress of their employees. Although it was found out in this study that job stress increases job dedication, it is also accepted that this unexpected situation arises due to special conditions. Therefore, by reducing job stress, hotel managers may prefer to increase the job dedication of their employees and their happiness indirectly.

The current study contributes to the hospitality management literature by investigating the organizational factors behind employee happiness. In addition, it also explored in depth the mediating effect of job dedication on the relationships between POS, job stress and happiness.