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The purpose of this study is to understand the perceptual differences toward smiling behaviors with head inclinations displaying by the human-like robot staff and human staff in a service setting.

This study adopted a 2 (staff: robot/human personal personnel) × 3 (head tilt: left/right/straight) full factorial design, while cross-examining participants’ cultural dimensions 2 (power distance: high/lower) × 2 (gender: male/female) during the service encounter.

Overall, it was found that male and female customers with different cultural background would perceive robot and human personnel with varying degrees of head tilt very differently, namely, regarding interpersonal warmth but not customer satisfaction.

Nonverbal cues serve as important elements in the interaction. This paper provides new directions on the design of anthropomorphic robot and gives insight to people’s perceptual differences. All in all, the present study is useful in facilitating human–robot interactions.

The smoking rate of male high school students continues to increase. Therefore, the purpose of this paper is to examine the effectiveness of a smoking cessation program on self-esteem, attitude, perception and practice regarding smoking behavioral control among male high school students in Ubon Ratchathani Province, Thailand.

The effectiveness of the smoking cessation program was tested by a quasi-experimental pre-posttest and follow-up with a 24-week design. Multistage sampling was used to recruit 70 male high school students, including 35 male students in the intervention group and 35 male students in the control group. The intervention group received a 12-week smoking cessation program based on information-motivation-behavioral skills and stages of change models and follow-up at 12 weeks, whereas the control group did not. A self-administered questionnaire was used to assess the improvement of subjects’ self-esteem, attitude toward smoking, perceived control over smoking, number of cigarettes per day and urine cotinine test. The descriptive statistics, generalized estimating equation and proportion test were used for data analysis.

After the program, there were statistically significant differences in mean scores between the group and control groups; the difference of self-esteem was 4.15 (95% CI: 1.95, 6.36), attitude toward smoking was 3.30 (95% CI: 1.89, 5.52) and perceived control over smoking was 6.99 (95% CI: 4.04, 9.94). Thus, all differences in the intervention group were significantly higher than in the control group. The proportion of non-smokers, measured by the urine cotinine test at follow-up, was 25 percent (95% CI: 0.03, 0.48) significantly higher (p-value = 0.015), in the intervention group. Therefore, the smoking cessation program in this study was effective at changing the behavior of male high school student smokers.

This smoking cessation program increased self-esteem, attitude toward smoking, perceived control over smoking and decreased smoking per day among male high school students. Therefore, schools and parents should focus on developing these factors to encourage students to quit smoking.

This paper aims to examine the impact of problem-solving activities, emotional experiences and contextual and personal factors on learning from dealing with software-related problems in everyday office work.

To measure the use of problem-solving activities, emotional experiences and the contextual factors of problem characteristics and learning in situ, a research diary was used. To measure team psychological safety (contextual factor) and personal factors, including the Big Five personality traits, occupational self-efficacy and technology self-efficacy, the authors administered a self-report questionnaire. In sum, 48 students from a software company in Germany recorded 240 diary entries during five working days. The data was analysed using multilevel analysis.

Results revealed that asking others and using information from the internet are positive predictors of self-perceived learning from a software-related problem, while experimenting, which was the most common activity, had a negative effect on learning. Guilt about the problem was positively related to learning while working in the office (as opposed to remote work), and feeling irritated/annoyed/angry showed a negative effect. Surprisingly, psychological safety had a negative effect on perceived learning.

Major limitations of the study concern the convenience sample and the disregard for the sequence of the activities.

This study contributes to the limited empirical evidence on employees’ problem-solving activities and informal workplace learning in the software context. To overcome the shortcomings of previous studies using retrospective assessments and in-lab observations, this study uses the diary method to investigate in situ.

Drawing upon self-determination theory (SDT) and the proactive motivation model, this study examined how inclusive leadership is related to organizational citizenship behavior (OCB) through psychological need satisfaction (PNS).

Data were collected from a large Dutch private company in the financial sector (N = 264) and analyzed using structural equation modeling (SEM).

Inclusive leadership positively influenced all three PNS dimensions (autonomy, competence and relatedness). Both autonomy and relatedness fully mediated the relationship between inclusive leadership and OCB. However, this was not the case for competence, although additional analyses revealed the serial mediation of all three PNS dimensions.

By highlighting the mediating role of PNS, this study contributes to the inclusive leadership literature by helping unravel the underlying process through which leaders influence team outcomes. The findings emphasize the importance of inclusive leaders in satisfying employees' individual psychological needs, so that they can redirect their attention toward prosocial behaviors.

The recent COVID-19 outbreak and severe natural disasters make the design of the humanitarian supply chain network (HSCN) a crucial strategic issue in a pre-disaster scenario. The HSCN design problem deals with the location/allocation of emergency response facilities (ERFs). This paper aims to propose and demonstrate how to design an efficient HSCN configuration under the risk of ERF disruptions.

This paper considers four performance measures simultaneously for the HSCN design by formulating a weighted goal programming (WGP) model. Solving the WGP model with different weight values assigned to each performance measure generates various HSCN configurations. This paper transforms a single-stage network into a general two-stage network, treating each HSCN configuration as a decision-making unit with two inputs and two outputs. Then a two-stage network data envelopment analysis (DEA) approach is applied to evaluate the HSCN schemes for consistently identifying the most efficient network configurations.

Among various network configurations generated by the WGP, the single-stage DEA model does not consistently identify the top-ranked HSCN schemes. In contrast, the proposed transformation approach identifies efficient HSCN configurations more consistently than the single-stage DEA model. A case study demonstrates that the proposed transformation method could provide a more robust and consistent evaluation for designing efficient HSCN systems. The proposed approach can be an essential tool for federal and local disaster response officials to plan a strategic design of HSCN.

This study presents how to transform a single-stage process into a two-stage network process to apply the general two-stage network DEA model for evaluating various HSCN configurations. The proposed transformation procedure could be extended for designing some supply chain systems with conflicting performance metrics more effectively and efficiently.

Intrinsic motivation affects job satisfaction and turnover intention. Still, previous motivational studies among real estate brokers (brokers) have primarily focused on extrinsic rewards, leaving intrinsic rewards/motivation practically unexplored. The purpose of this study is therefore to evaluate the role of both satisfaction with intrinsic rewards (SIR) and satisfaction with extrinsic rewards (SER) on job satisfaction and turnover intention among Swedish brokers.

This article is a replication, more precisely an empirical generalization and extension, of Mosquera et al.’s (2020) study conducted among brokers in Portugal. Using a sample of 910 Swedish brokers, the study analyzes a conceptual framework and tests hypotheses by using partial least squares (PLS).

Results indicate that SIR has a very strong impact on job satisfaction, which is not the case in the Portuguese sample. On the other hand, SER does not have an impact on job satisfaction, which is the case in the Portuguese sample. SIR does not have an impact on turnover intention in the Swedish sample, whereas SER does. Job satisfaction has twice the positive impact on turnover intention in the Swedish sample compared to the Portuguese. Furthermore, job satisfaction mediates the relationship between SIR/SER and turnover intention.

Findings of this study extend the existing literature of satisfaction with extrinsic and in particular intrinsic rewards on job satisfaction and turnover intention in the context of the brokerage industry. The most interesting difference between the samples is that Swedish brokers display much higher levels of satisfaction with intrinsic rewards. On the other hand, Swedish brokers appear to be less driven by extrinsic rewards, which is not in line with prior studies within brokerage.

Both managers and students planning to become brokers should consider that SIR has a stronger impact on job satisfaction than SER. What are perceived as intrinsic rewards, however, is highly subjective, which is troublesome from a managerial perspective, even more so as SIR is much harder to influence than SER. Given that intrinsic motivation is primarily a consequence of needs fulfillment, screening of applicants for person-job fit ought to increase job satisfaction and reduce turnover given its focus on the congruence between job demands and worker’s needs, respectively, what a job provides and the worker’s needs.

This study contributes to the brokerage research field by indicating that being a broker differs substantially between countries and that intrinsic rewards matter for Swedish brokers.

The study mainly aims to evaluate factors that impact online accounting education in Vietnamese universities during COVID-19.

The study is exploratively conducted with a quantitative sample using purposive data-collecting techniques. The sample focused on teaching staff and students at public and private universities in Vietnam during COVID-19.

The study shows that infrastructure, working/living conditions during COVID-19 and lecturing time are the top three factors impacting online digitizing accounting education.

This research is not without limitations. The limitations are limited time and resources, which did not allow for examining other factors that impact digitizing education in accounting. The forthcoming study should examine extended factors (not mentioned in the study) such as government sponsorship, lecturers’ soft skills, national culture, qualifications and so on.

This study identifies and states significant factors that impact online digitizing accounting education in Vietnamese higher education during COVID-19.

The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs).

Using the Choquet integrals as aggregating tool, the authors give a novel DEA model to evaluate the efficiencies of DMUs.

It extends DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form. At last, the authors use the numerical examples to illustrate the performance of the proposed model.

The proposed DEA model can be used to evaluate the efficiency of the DMUs with multiple interactive inputs and outputs.

This paper introduce a new DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form.

Children suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.

Interviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.

It is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.

The originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.

The purpose of this paper is to present an analytical review of the educational innovation field in the USA. It outlines classification of innovations, discusses the hurdles to innovation, and offers ways to increase the scale and rate of innovation-based transformations in the education system.

The paper is based on a literature survey and author research.

US education badly needs effective innovations of scale that can help produce the needed high-quality learning outcomes across the system. The primary focus of educational innovations should be on teaching and learning theory and practice, as well as on the learner, parents, community, society, and its culture. Technology applications need a solid theoretical foundation based on purposeful, systemic research, and a sound pedagogy. One of the critical areas of research and innovation can be cost and time efficiency of the learning.

Several practical recommendations stem out of this paper: how to create a base for large-scale innovations and their implementation; how to increase effectiveness of technology innovations in education, particularly online learning; how to raise time and cost efficiency of education.

Innovations in education are regarded, along with the education system, within the context of a societal supersystem demonstrating their interrelations and interdependencies at all levels. Raising the quality and scale of innovations in education will positively affect education itself and benefit the whole society.

Originality is in the systemic approach to education and educational innovations, in offering a comprehensive classification of innovations; in exposing the hurdles to innovations, in new arguments about effectiveness of technology applications, and in time efficiency of education.