Search results

The study aims to examine the indirect relationships via application (app) brand self-relevance emotions and self-relevance that underlie the relationships between perceived value of mobile apps and (brand) love with respect to mobile apps. The study further investigates the moderating role of user–app relationship duration in the formation process of brand love for mobile apps from a dynamic and long-term perspective.

A multiple moderated-mediation model is developed and empirically tested with a sample of 396 users of popular Chinese mobile educational apps.

The study reveals that utilitarian value exhibits positive indirect relationships with brand love for mobile apps through increased positive self-relevance emotions. All three types of perceived value of mobile apps (utilitarian, hedonic and social) affect app brand love positively via self-relevance. These three types of perceived value were found to be serially linked to brand love through self-relevance and self-relevance emotions. Furthermore, empirical evidence is found for the moderating effects of user–app relationship duration.

By testing mechanisms simultaneously in an integrative model, this study investigates the reasons for app brand love that attract a user into a lasting relationship with an app and extends knowledge of the app brand love building process in inducing strong and positive brand–self connections. Our study also makes practical contributions by offering insights into delivering the most desired benefits to mobile app users according to different contextual conditions, in order to attract and retain users in a more cost-effective manner.

The purpose of this paper is to explore the marketing opportunities for after-school educational services in the Chinese context by examining children’s perceptions of intelligence using visual methodology.

Altogether 30 Chinese children aged 9–12 studying in grades four to six were asked to draw what comes to mind for two statements: “This is an intelligent child” and “This is a child of average intelligence.” After doing the drawings, the children were interviewed face-to-face to answer questions about the personalities and social relationships of the children depicted in the two drawings that they had produced.

A child described as intelligent was imagined wearing glasses, studying hard and obtaining excellent academic results. A child described as of average intelligence was imagined as having many friends, playing a lot and experiencing tension with parents over studies. Participants had a restrictive view of intelligence and associated intelligence with academic success. They endorsed both a growth mindset and a fixed mindset of intelligence. On the one hand, they endorsed a growth mindset of intelligence as they associated intelligence with personal efforts and practices. On the other hand, participants endorsed a fixed mindset of intelligence as they tended to avoid challenges and appeared to be threatened by the success of others. Participants imagined that an intelligent child would experience poor relationships with friends.

The findings were based on a nonprobability small sample. The study did not investigate the socialization process of such perceptions.

Educational services and nonschool activity service providers can position themselves as agents to help students develop meta-analytical skills in embracing challenging tasks. Marketers can develop courses and learning materials that teach children different learning strategies. They can use incentives to encourage persistence and resilience in meeting challenges. This study uncovered the emotional and social needs of intelligent children. A new market segment was identified that targets children with high intelligence. Educational service providers can design curricula and activities to support high-performing children in developing empathy and good communication skills. Educators can assist those who perform well academically to nurture genuine friendships and improve social relations with peers.

The prevalence of the private tutoring industry in the Chinese context may introduce educational disparity, as families with low resources will not be able to afford these services. Nonprofit organizations can provide similar educational services at a low cost to bridge the gap. The narrow view of intelligence expressed by participants, and their lack of awareness of the wide range of types of intelligence, indicates that education service providers can develop the confidence of a child with average intelligence through appreciation of his or her unique talents beyond academic achievements.

This study explores attributes associated with intelligence among Chinese children using an innovative visual method. The marketing implications can apply to other societies where the after-school tuition market is prevalent.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Universities and other HEIs around the world have become reliant on social media and other forms of digital marketing to attract students in an increasingly competitive environment. This is typified by the experience of Spanish HEIs following the end of the Franco Dictatorship.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This research examines consumer reluctance to purchase organic food using the theory of innovation resistance and also extends the theory by investigating the moderating influence of eco-literacy. In addition, the authors used a multigroup analysis to identify differences between consumer segments.

Data collection used computer-assisted web interviewing and a prior screening process to confirm engagement. Through stratified quota sampling, 1,000 useable responses were obtained from 2,887 recipients.

The findings reveal barriers are significant inhibitors to adopting organic food. Among these barriers, usage, risk tradition and image barriers have a significant adverse influence on purchase intention. In contrast, the value barrier has a nonsignificant influence on the purchase intention of organic food. However, the study found that eco-literacy significantly reduces the negative influence of risk and tradition barriers on consumers' intentions. In addition, a multigroup analysis examines notable differences between consumer groups based on education, age and income.

This research has significant social implications for boosting sustainable consumption in Lithuania. It identifies key barriers to organic food adoption, emphasizing the need for strategic interventions. The study highlights eco-literacy as an essential tool in diminishing resistance to organic food, advocating for targeted educational initiatives. Additionally, it reveals the importance of tailored marketing strategies based on different consumer demographics. Overall, this study provides important insights to promote environmentally conscious consumer behavior and overcome resistance to innovation in the organic food sector.

This study expressively advances the understanding of intentional behavior by exploring organic food within Lithuania's Baltic economy. It authenticates the innovation resistance theory's applicability to organic food behavior in the region while emphasizing the moderating impact of eco-literacy in the link between barriers and purchase intention concerning organic food. Furthermore, using advanced methods such as partial least squares statistical modeling and multi-group analysis, the research reveals how barriers affect the purchase intention of organic food among different groups of consumers.

This paper aims to develop a vision for the future identifying how digital nomadism affects the labor markets in the tourism industry.

The qualitative research method was used. The research data were collected using a semistructured interview form developed by the researcher. The sample consists of twenty people working in the tourism industry as tour guides, travel agency owners, accommodation sector employees and professional managers. The content analysis method was used to analyze the data.

It was found that employees in the tourism industry are familiar with digital nomadism, interact with employees working as digital nomads and may prefer the digital nomad way of working, while employees in the accommodation sector cannot work as digital nomads due to the nature of their work. It is shown that digital nomadism can be applied to tour guides and travel agency owners.

The data was collected from employees of the accommodation sector, travel agencies, tour guides and employees of the Turkish tourism labor market. It is recommended that the tourism labor markets adapt to the digitalized world and adjust their working models in this context.

This is one of the first studies on the impact of digital nomadism on the tourism labor markets.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of three pertinent environmental factors posited to reflect environmental consciousness in the form of environmental concern, environmental knowledge and environmental values.

The data was collected from 410 consumers at shopping malls with retail stores selling green and non-green products in a developing country using cluster sampling and analyzed using covariance-based structural equation modeling.

The findings of this study indicate that environmental factors reflecting environmental consciousness positively influence consumers’ attitude towards purchasing green products, wherein consumers’ environmental values have a stronger influence than their environmental concern and environmental knowledge. The findings also reveal that subjective norm, attitude and perceived behavioral control toward purchasing green products positively shape green purchase intention. The same positive effect is also witnessed between green purchase intention and behavior. However, perceived behavioral control towards purchasing green products had no significant influence on green purchase behavior.

This study suggests that green marketers should promote environmental consciousness among consumers to influence and shape their planned behavior towards green purchases. This could be done by prioritizing efforts and investments in inculcating environmental values, followed by enhancing environmental knowledge and finally inducing environmental concern among consumers. Green marketers can also leverage subjective norm and perceptions of behavioral control toward purchasing green products to reinforce green purchase intention, which, in turn, strengthens green purchase behavior. This green marketing strategy should also be useful to address the intention–behavior gap as seen through the null effect of perceived behavioral control on purchase behavior toward green products when this strategy is present.

This study contributes to theoretical generalizability by reaffirming the continued relevance of the theory of planned behavior in settings concerning the environment (e.g. green purchases), and theoretical extension by augmenting environmental concern, environmental knowledge and environmental values with the theory of planned behavior, resulting in an environmentally conscious theory of planned behavior. The latter is significant and noteworthy, as this study broadens the conceptualization and operationalization of environmental consciousness from a unidimensional to a multidimensional construct.

The purposes of this study are to contribute to the limited green growth (GG) literature in emerging markets, to analyze GG from a financial economy perspective and to determine the contribution of financial development and innovation to GG in Brazil, Russian Federation, India, China and South Africa and Türkiye (BRICS-T). BRICS-T countries significantly impact the world population, international politics, energy resources and economy. In addition, BRICS-T countries are one of the leading countries in the world with their sustainability efforts. Investigating the GG model in these countries may contribute to structuring emerging economies around the principles of GG and advancing global green transformation efforts.

The authors applied panel data analysis from 2001 to 2019. GG is economic growth free from environmental depletion in the model. National income, personnel expenditure and foreign direct investments are macroeconomic variables. These variables measure economic development and promote economic and social progress, which is essential for GG. Capital accumulation and innovation are essential tools in GG transformation. Therefore, financial development and patent applications represent the moderating variables. The authors estimate the fixed effect model with Parks-Kmenta robust.

Empirical results show that national income growth and foreign direct investments positively affect GG. Personnel expenditure negatively affects GG. On the contrary, financial development and patent growth have little moderating role.

This study contributes to the literature on creating a GG model in emerging countries. The study is original in its model and sample.

The outbreak of COVID-19 has caused a slowdown of economic activity across the globe, which has resulted in high levels of disruption to labour markets. This study seeks to examine how the outbreak of COVID-19 has impacted the search strategies of students seeking for an internship, and whether these have changed since the start of the pandemic. The study utilises the strength of weak ties hypothesis, social capital theory and status attainment theory to explore the changes in securing a position since the outbreak of COVID-19.

This study draws on data from two cohorts of MBA students seeking to secure internships: one before the outbreak and one during. A multinomial regression is employed to examine how students have used network ties to secure internships and how this has changed since the outbreak of COVID-19.

The multinomial regression results indicate that there was little difference in the strategies employed by students before the crisis compared to those that secured them during, potentially indicating that students are unwilling to deviate from typical job search strategies, especially in times of uncertainty.

This study provides insights into how network ties are used by job seekers during a period of economic and environmental uncertainty.

Microfinance programs across the countries are designed on the self-help and peer pressure model, aim at microentrepreneurship development. Despite of significant studies on microfinance-supported microentrepreneurship (MSM), not a single literature examines it from the systems thinking. In addition to that, the extant literature did not look MSM from the behavioral perspectives. To address the above gaps, the present study aims to examine self-help group (SHG)-based microfinance programs from the systems approach using the Stimulus-Organism-Behavior-Consequence (SOBC) model.

Information gathered from 786 women SHG members from four states of India through a structured interview schedule. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were conducted to process data. Additional statistical tests were performed to test the reliability and validity.

It was found that the “positive stimulus” (social intermediation, financial intermediation and business development services) positively impacted; and “negative stimulus” (intermediation accountability, and intermediation assumption) negatively impact, to “motive” (attitude, subjective norms, and perceived control) for micro-entrepreneurship in the SHG-based microfinance. Further, “motive” positively predicted “behavioral intention”; the “behavioral intention” positively determined “consequences” of micro-entrepreneurship. Intermediation as stimuli acted as “input”; the motive and behavioral intention acted as the “process”, and the consequence acted as the “output” in the SHG-based microentrepreneurship system.

To the best of the author's knowledge, this paper is the first one to examine the behavioral systems of microentrepreneurship programs through the Stimulus-Organism-Behavior-Consequence (SOBC) model.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0801