Business: Theory and Practice
Business: Theory and Practice publishes original research, reviews and case studies on all areas of strategic management and organizational behaviour.
- The influence of personal brand communication on consumerspor Saulius Kromalcas el marzo 5, 2024 a las 8:05 am
The idea of this research is to combine the influence of personal brand with business needs. This article is a personal brand’s analysis on how personal brand influences consumer interest in products/services. An experiment is carried out on the content viewed by consumers using eye-tracking technology “Neuromarketing & AI LAB” to reveal emotional and structural sensations in the social network Instagram. The aim of this research is to determine the influence of a personal brand on the consumer. Research methodology: analysis of scientific literature, logical definition and theory construction, an experiment: research of human emotions and chosen content. Data analysis method: descriptive statistics and comparative analysis. AOI (heat map) was selected to illustrate the research results. Influencers with up to 100 000 followers were selected – stimuli that trigger or enhance physiological and psychological reactions in the body. It was found that the body and face of a personal brand had the higher influence on consumers. Personal brand attracts consumers’ attention and promotes engagement. The originality and value of the paper: content relevance research of personal brand (identity) influence on consumers in social network Instagram. Further we suggest carrying out similar personal brand’s research choosing other social networks.
- Still dirty: the effect of global risks and development on foreign direct investment inflowpor M. Elfan Kaukab el febrero 28, 2024 a las 7:06 am
There needs to be more research on the global risks and developmental determinants of foreign direct investment inflow with green investment campaigns. This article presents new evidence covering 116 countries (2018–2020) using least squares regression. We show that ceteris paribus, higher perceived environmental and geopolitical risks are more likely to increase foreign direct investment. We also find that lower business environment, safety and security, and environmental sustainability increase foreign direct investment inflow. Meanwhile, foreign investment inflow increased positively according to price competitiveness, infrastructure quality, and natural resources. One development variable, information, and communication technology readiness, becomes significant when the analysis is performed only on developing countries. Economic risks, societal risks, technological risks, health and hygiene, human resources, and international openness are not significantly affecting investment inflow. An insightful theoretical implication regarding the finding is that some supports exist for the pollution haven hypothesis. Implications for practice include creating supportive policies that appreciate sustainable practices, such that investors are attracted to the country not as opportunistic polluters but as sustainability pioneers.
- Need for relatedness and eating behaviour in millennialspor Diana Escandon-Barbosa el febrero 22, 2024 a las 6:37 am
This research analyses the moderating effects of the need for relatedness in the relationship between behavioural intention (attitude towards the behaviour, subjective norm behaviour and perceived behavioural control) and self-reported healthy eating behaviour in millennials. A structural equation model was used in a sample of 2380 young people in Colombia and Spain (1190 for each country) considered healthy food consumers. All of them were classified as millennials based on age (25–34). The results show that attitudes towards the behaviour and subjective norm behaviour positively influence self-reported healthy eating behaviour.In contrast, perceived control behaviour does not influence self-reported healthy eating behaviour. The need for relatedness moderates the relationship between behavioural intention (attitude towards the behaviour, subjective norm behaviour and perceived behavioural control) and self-reported healthy eating behaviour. The results suggest that the isolation conditions caused by the pandemic directly affect millennials’ behaviour regarding the consumption of healthy food. This condition affects their lifestyles and preferences associated with consumption.
- Research on consumers’ intended usage of cold chain logistics service through fresh-food apps based on the structural equations modelpor Mengze Zhang el febrero 7, 2024 a las 11:14 am
By expanding the theory of planned behavior with Structural Equation Modeling, the objective of the study is to investigate consumer behaviors in the purchasing of fresh food through fresh-food apps and cold chain logistics services usage in Shanghai and Beijing, China. The results showed that the usefulness of the fresh-food apps has a positive impact on consumers’ attitudes to enjoying apps’ cold chain logistics services. However, the ease of use of apps has never had a positive impact on consumers’ attitudes towards enjoying cold chain logistics services. Furthermore, consumers’ attitudes, perceived behavioral control and subjective norm have a positive impact on their intention to use cold chain logistics services via fresh food apps. Findings confirmed that attitude plays a part of mediating role in usefulness and behavioral intention.
- Assessing the factors impacting shipping container dwell time: a multi-port optimization studypor Mohan Saini el febrero 1, 2024 a las 10:00 pm
Ocean transportation is the most preferred mode of transportation that represents a significant role in the global trade. Ocean transportation comprises around 80% of the aggregate worldwide cargo volume. This research paper focused on evaluating the factors that influence the dwell time of the shipping containers. Dwell time is one of the important port performance parameters which evaluates the time spent by the container in a port. In this research, the data from the fourteen major ports was collected and analysed across the variables, such as cycle, size, mode, status, delivery and tracking technology for evaluating the variation in container dwell time. OLS regression method (Ordinary least squares) along with independent sample T test was adopted for the analysis of 2.8 million container data entries utilizing python for big data analysis and SPSS. For the top three ports with lowest RMSE (Root mean square error), Port A – 15.6 %, Port G – 15.7 % and Port L – 15.86 %, a qualitative study was performed to identify the reasons for the variation in dwell time. The major reasons identified included free days period, trans-shipment port, high rail frequency, industrial hubs in the vicinity of the ports for lower dwell time. A qualitative research framework was presented as the research outcomes and reasons for variations in a multiport study.