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This study aims to understand how unimanual and bimanual motor actions in the form of writing a message (handwriting and typing) influences consumer behavior intention and attitude.

Three studies have been conducted to understand how the method of writing (typing or handwriting) and moderator type of message (moderator: emotional vs. rational) can influence persuasion variables.

This paper shows evidence that bimanual and unimanual motor actions activate contralateral brain hemispheres and influence consumer behavior. Specifically, how the use of these motor actions leads to a change in behavior intention and attitude. Furthermore, how bidirectional behavior and role-reversal occurs when a unimanual vs bimanual motor actions are used to create an emotional or rational message.

This research focuses on explaining cognitive implications of unimanual vs bimanual motor actions (typing vs handwriting) on self and specifically on consumers when they are exposed to situations of producing/creating a message. Adding further evidence to persuasion, behavior intention and attitude research in embodied cognition (e.g. Petty and Cacioppo, 1986b; Briñol and Petty, 2008), the role of haptic interfaces in online marketing and consumer behavior (e.g. Brasel and Gips, 2015). The authors did not collect any FMRI data but it can be the future scope of this work.

The novel findings of bimanual and unimanual motor actions have a direct application to the current scenario of the online reviews/surveys, which have become a crucial point for e-commerce businesses and retailers that require customers to give feedback. Since, consumer emotions can influence behavioral outcomes and decision making through sensory cues (Abdolmohamad Sagha et. al, 2022; Haase Wiedmann and Labenz, 2022). From this perspective, depending on the mapping/recording of the felt emotionality or rationality by the customer, the feedback method can be oriented in a way to reduce the effect of negative reviews. Further applications are suggested for retailers, increasing prosocial or sustainable behavior and attitudes.

Marketing and advertising research conducted in different social settings is considered important in neuropsychology and neurophysiology research (Pozharliev et al., 2017). Therefore, this research can be extended to test in different social settings and marketing contexts, for example, in the virtual reality, metaverse and gamification. Thus, this research can serve as an avenue to examine the bimanual and unimanual motor actions in a scenario where the participants can combine several motor actions, for example, talking on the phone or walking while filling consumer reviews online/offline and wearing the VR devices like Apple Vision Pro and performing unimanual or bimanual motor actions.

Mapping of human behavior has always been done dependent on the cognition aspect and limited in its scope for embodied cognition. The results can be used for more direct and impactful ways of conducting surveys, feedback and handling communications for major businesses. In addition, it can be a helpful tool for message persuasion for a new brand or increasing awareness about sustainable consumption depending on typed or handwritten inputs by a potential consumer.

This chapter first reviews the current stages of retail CBDC development before examining some of the common characteristics of retail CBDC projects being proposed in various jurisdictions. This chapter then examines the possible future of retail CBDC going forward.

With Industry 4.0 and the extensive rise of smart technologies, we are seeing remarkable transformations in work practices and workplaces. Scholars report the phenomenal progress of smart technologies. At the same time, we can hear the rhetoric emphasising their potential threats. This study focusses on how and where intelligent machines are leveraged in the workplace, how humans co-working with intelligent machines are affected and what they believe can be done to mitigate the risks of the increased use of intelligent machines.

We conducted in-depth interviews with 15 respondents working in various leadership capacities associated with intelligent machines and technologies. Using NVivo, we coded and churned out the themes from the qualitative data collected.

This study shows how intelligent machines are leveraged across different industries, ranging from chatbots, intelligent sensors, cognitive systems and computer vision to the replica of the entire human being. They are used end-to-end in the value chain, increasing productivity, complementing human workers’ skillsets and augmenting decisions made by human workers. Human workers experience a blend of positive and negative emotions whilst co-working with intelligent machines, which influences their job satisfaction level. Organisations adopt several anticipatory strategies, like transforming into a learning organisation, identifying futuristic technologies and upskilling their human workers, regularly conducting social learning events and designing accelerated career paths to embrace intelligent technologies.

This study seeks to understand the emotional and practical implications of the use of intelligent machines by humans and how both entities can integrate and complement each other. These insights can help organisations and employees understand what future workplaces and practices will look like and how to remain relevant in this transformation.

This chapter discusses the evolution of online trading, its application in various market structures, and its benefits and potential concerns. Computers were first used in electronic communication networks among brokers and dealers to make trades and for informational purposes. Online brokers became popular with retail investors as the internet spread. Online trading comes with various trading protocols and order types. It enables traders to automate trading decisions and process data more easily using charting tools and customized programs connected to the broker's infrastructure. Electronic trading allows for greater centralization but can also be accompanied by market fragmentation. Market regulation has affected market structure and is still evolving. Centralization allows for more competitive prices and reduces search costs. Decentralized markets could cope better with asymmetric information.

Many industries use non-Newtonian ternary hybrid nanofluids (THNF) because of how well they control rheological and heat transport. This being the case, this paper aims to numerically study the Casson-Williamson THNF flow over a yawed cylinder, considering the effects of several slips and an inclined magnetic field. The THNF comprises Al₂O₃-TiO₂-SiO₂ nanoparticles because they improve heat transmission due to large thermal conductivity.

Applying suitable nonsimilarity variables transforms the coupled highly dimensional nonlinear partial differential equations (PDEs) into a system of nondimensional PDEs. To accomplish the goal of achieving the solution, an implicit finite difference approach is used in conjunction with Quasilinearization. With the assistance of a script written in MATLAB, the numerical results and the graphical representation of those solutions were ascertained.

As the Casson parameter β increases, there is an improvement in the velocity profiles in both chord and span orientations, while the gradients Re1/2Cf, Re1/2C¯f reduce for the same variations of β. The velocities of Casson THNF are greater than those of Casson-Williamson THNF. Approximately, a 202% and a 32% ascension are remarked in the magnitudes of Re1/2Cf and Re1/2C¯f for Casson-Williamson THNF than the Casson THNF only. When velocity slip attribute S1 jumps to 1 from 0.5, magnitude of both F(ξ,η) and Re1/2Cf fell down and it is reflected to be 396% at ξ=1, Wi=1 and β=1. An augmentation in thermal jump results in advanced fluid temperature and lower Re−1/2Nu. In particular, about 159% of down drift is detected when S2 taking 1.

There is no existing research on the effects of Casson-Williamson THNF flow over a yawed cylinder with multiple slips and an angled magnetic field, according to the literature.

In response to the challenges posed by the conventional manual flange docking method in the LNG (Liquefied Natural Gas) loading process, such as low positioning accuracy, constraints on production efficiency and safety hazards, this study analyzed the LNG five-axis loading arm’s main functions and structural characteristics.

An automated solution for the joints of the LNG loading arm was designed. The forward kinematic model of the LNG loading arm was established using the Denavit–Hartenberg (D-H) parameter method, and its workspace was analyzed. The Newton–Raphson iteration method was employed to solve the inverse kinematics of the LNG loading arm, facilitating trajectory planning. The relationship between the target position and the joint variables was established to verify the stability of the arm’s motion. Flange center identification was achieved using the Hough transform function. Based on the ROS platform, combined with Gazebo and Rviz, an experimental simulation of automatic docking of the LNG loading arm was conducted.

The docking errors in the XYZ directions were all less than 0.8 mm, meeting the required docking accuracy. Moreover, the motion performance of the loading arm during docking was smooth and free of abrupt changes, validating its capability to accomplish the automatic docking task.

The proposed trajectory planning and automatic docking scheme can be used for the rapid filling of LNG filling arms and LNG tankers to improve the efficiency of LNG transportation. In guiding the docking, the proposed automatic docking scheme is an accurate and efficient way to improve safety.

This paper aims to explore how a new type of workplace training program can be created that truly enables participants to move from words to action. Recognizing the need to understand trainee–work environment dynamics the authors criticize training efforts that center on targeted learning events, instead highlighting the role of preparation and following up. In doing so, the authors tackle the lack of guidance practitioners experience when designing and implementing workplace training programs.

The authors present action research on a pilot workplace training program focused on wellbeing in an academic work setting. The data collection draws from the case study tradition. The authors collect data through interviews (21), field notes of participant observation (3 occasions), participant-produced written materials and a feedback survey.

The authors find that restorative practices, workplace mediation and reteaming enhance the participants’ perceptions of self-efficacy and agency. Throughout the training program, facilitators observe the dynamics of the situation and take part in discussions to encourage exploration and reflection. Thus, facilitators likely need a coaching mindset.

The theoretical contribution stems from an in-depth exploration of trainee–work environment dynamics and novel insights brought to workplace training from adjacent fields of research. The authors introduce a framework for planning participatory workplace training and organizational development programs, which answers a call from practitioners.

The study examines the effectiveness of an academic integrity training program called Academic Integrity Training (AIT) in improving students’ academic integrity among final-year students.

The research design used was one group pretest and posttest (n = 40) students in research proposal courses.

Analysis with stacking and racking analysis showed a change in the distribution of the Logit Value Person (LVP) and Logit Value Item (LVI) values on the side of the subjects and items used for this study. Testing with a paired sample t-test yielded a value of t = −3.059 and a significance (p) = 0.004, indicating that there was a significant increase in LVP at the pre-test (M = 2.52 & SD = 1.56) and post-test (M = 3.33 & SD = 2.09) in the subject of the study.

The study results concluded that this academic integrity training program can improve students' academic integrity and is designed and implemented with the right personal approach to suppress academic dishonesty, especially the problem of plagiarism among graduate students submitting thesis proposals.

Academic dishonesty has been a major problem in higher education over the last two decades. Various strategies have been attempted to address the condition, but no program has been found to directly address the problem on the personal order or individuals who do so.

This study aims to explore the experiences of newly resettled refugee-background high school students participating in the Teen Response program, a community-based initiative to assist refugee-background adolescents (RBAs) in navigating educational and career opportunities in the midwestern USA.

Using a mixed-methods approach, this study examined twenty-two RBAs through survey and focus groups.

The findings reveal significant growth and transformation in the students' self-efficacy and advocacy skills. This growth underscores the critical role of social support and community engagement in helping RBAs, empowering them to advocate for themselves and others in pursuing educational and career goals.

This study contributes new insights into the community-based support programs for RBAs, focusing on enhancing self-efficacy and advocacy. It offers valuable implications for developing effective support frameworks and recommends future research on these approaches.