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This paper presents an in-depth study of learners’ learning and playing styles and their implications for educational video games. This study aims to scrutinize the manifestation of learning and playing styles among learners, to identify the style predispositions and dominance and to assess the implication of these results for educational video games.

This paper proposes a structured model with a detailed methodology for evaluating and categorizing style predisposition and the learner’s dominant learning and playing style. The multimodal style predisposition aggregates several manifested styles at three distinguished levels to achieve more precise differentiation. The authors analyze the outcomes of an empirical field study of 676 K12 and university students, making an in-depth evaluation of their learning and playing styles.

Based on the presented model to determine the level of preferences and dominance of styles, the study reveals that multimodal style predisposition prevails for both learning and playing styles. Most learners manifest several dominant styles. While the Kinesthetic Visual, Auditory, Read/Write and Kinesthetic (VARK) learning style and Logician and Strategist playing styles prevail, the Read/Write and Competitor styles are the least preferred.

The survey explores particular learning and playing styles – VARK and adaptive technology-enhanced platform for edutainment (ADOPTA). It covers only Bulgarian students, who share common national cultural predispositions. The different sizes of the samples (234 K12 and 432 university students) are also a limitation. Further studies should involve international and equal samples of participants.

Educational video games should reflect the findings about learners’ preferences and predispositions at the planning, design and practical application level.

Game-based learning and gamification approaches in education should focus on aspects other than competition.

This paper presents an original methodology for modeling, evaluating and categorizing style predisposition and students’ dominant learning and playing styles and results about these styles of K12 and university students in the context of educational video games.

Globalisation has benefitted both developed and emerging markets. However, few recent studies have pointed out that globalisation has failed to deliver promising results. This research aims to examine the impact of globalisation on different performance aspects of an emerging market like India.

We examined the impact of globalisation on different performance aspects of a country at the national, industry and firm levels. We have defined the performance dimensions for country-level analysis as GDP and unemployment. We have defined the performance dimensions as profitability for industry and firm-level analysis. The effects of globalisation on the critical economic performance aspects in the Indian setting are covered in the first part. In the second part, we used the panel regression approach to evaluate the impact of overseas revenue on the employability and profitability of select Indian auto firms. We have chosen the auto industry for industry analysis because of its extensive integration with other production fields. In the third section, we discussed how globalisation has improved the profitability of two Indian car companies.

This study finds that globalisation has benefitted nearly every aspect of the Indian economy's performance. India has gained from national, industry and firm globalisation.

This study is the first of its kind to examine the impact of globalisation on a country's performance across different levels, including national, industry and firm levels. We have studied the Indian context to develop a theory that globalisation still benefits emerging markets.

The purpose of the current study is to investigate the impact of collective knowledge on individual research competence. Further, the study investigates the mediation effect of the knowledge management process (KMP).

The cross-sectional study adopts a quantitative conclusive research design. The study collects data specifically from academicians of Uttarakhand higher education institutions (HEIs). The study uses random sampling because the list of faculty members is uploaded on the website of the university portal. The author directly sends the questionnaire to the email of the respondents and uses social media platforms. For the data analysis, the study used SMART-PLS 4.0.

The findings of the study reveal that KM infrastructure (KMI) and KM strategy directly impact KMP. The study also reveals that the KMP significantly impacts individual research competence. The current study also finds partial mediation support among KMI, KMP and individual research competence, and between KM strategy, KMP and individual research competence.

The current study uses a cross-sectional research design, future studies may include the longitudinal design to measure the effect of KM elements on individual research competence. The current study includes the data from the Uttarakhand region only, and it is difficult to generalize the results specifically to other states.

The study emphasizes the importance of KM system development, a supportive KMI and a balanced KM strategy in HEIs.

Investigating collective knowledge’s impact on individual research competence, this study unveils mediation in KMP. Future research can broaden horizons by using the model.

There is an emerging paradigm with reference to marketing communication, i.e. inclusive marketing communication (IMC). This calls for brands to be sincere with their customers and give due recognition and representation to underrepresented groups, communities and individuals. In this constantly evolving and globalized world, consumers have become more sensitive towards authentic portrayals of inclusivity and diversity by brands while choosing one brand over another.

A mixed method approach was used whereas in the first study, a quantitative method was used. Standardized questionnaire was used for collecting data through a time-lagged method. While the second study adopted the qualitative method. Semi-structured interviews were performed which lasted for 30–45 min for most of the participants.

It was found that IMC has a positive and noticeable effect on brand attitude (BA) and brand love (BL) when mediated by social identity (SI). While stigmatization was found to positively and significantly moderate the relationship between IMC and SI. Moreover, it was also found from both the studies that if a brand fails to strengthen the SI of an individual it doesn’t affect the BA as well as BL of customers.

Very few studies have incorporated a quantitative method of study while studying IMC. Furthermore, a collective study on different aspects of inclusivity like ethnicity, sexual orientation, disability, physical attractiveness, etc., has not been explored yet. Scattered studies on aspects like skin tone, body size, religion, etc., have been explored individually in prior studies.

The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.

The case study explores the integration of computational intelligence and foresight through Gaston Bachelard's (Bachelard, 1936) phenomenology concept of ante-perception. The mathematical representation of the cone of scenarios provides a structured way to explore multiple future pathways, allowing communities to visualize and compare different trajectories and make informed decisions amid uncertainty. The model facilitates critical reflections on present assumptions, deepening insights into future scenarios. Ante-perception challenges traditional approaches to foresight by encouraging a break from established experiences, allowing for novel insights into possible futures. When enriched by computational intelligence, this reflective process is further strengthened by quantitative approach scenario modeling.

This research develops and tests a proposal that includes the logic and methods for constructing a mathematical representation of the cone of scenarios. This process, which is interactive and deliberative, is driven by anticipation and combines qualitative and quantitative approaches within a context of high uncertainty. By combining the critical reflection facilitated by ante-perception with the predictive power of computational intelligence, the model allows communities to transcend established thought patterns and explore innovative future possibilities. This integrative approach helps them envision and work toward social self-transformation.

The article aims to identify the creation of scenarios in contexts of high uncertainty, to respond to the needs of communities in emerging countries to manage change.

This article explores a novel approach to using foresight for address collective intelligence by developing a shared future vision in high-uncertainty contexts within local communities in emerging countries. The application of the hybrid model demonstrates that foresight is a key innovative social tool for developing long-term strategic reflection and planning for territories.

In developing long-term reflective processes, explaining phenomena, mechanisms and correlations requires the use of value judgments. This set of value judgments requires a representation that facilitates their treatment, helps to account for their behavior during the inference process to form a shared future vision. Consequently, ensuring the recognition of the opinions of local communities through participatory discussion spaces and their subsequent refinement, from a technical perspective, aims to illustrate the development of this social construction process. While similarities exist, differences add value through a transfer process, often subconscious. This process stimulates collective learning and builds capacities as knowledge is developed through inquiry, evaluation, interpretation and generalization.

This research provides a unique hybrid model that fosters collective learning and engagement by integrating local community perspectives with advanced computational intelligence methods. By facilitating both reflective and quantitative approach future-shaping, it offers a practical framework for addressing uncertainty while empowering communities to shape their own futures. It underscores the importance of recognizing local community views through bottom-up participatory discussions, thereby widening the stakeholder community to active engagement in addressing broader societal issues. The case study focuses on community collaboration in Puerto Gaitán, a Colombian municipality.

This study explored the enabler role of novelty-seeking and materialistic values on technology-based outcomes: usefulness, ease of use and enjoyment of virtual tourism. Furthermore, this study explored the direct effects of Gen Z’s word-of-mouth intentions. The study also explored the contingent effects of gender and educational level.

Survey-based responses were gathered from 342 Gen Z participants using specific filtering criteria to ensure sample representativeness. Subsequently, the final responses were analysed using partial least squares.

The findings suggest a significant role for novelty-seeking and materialistic values in Gen Z’s overall perception of virtual tourism. Furthermore, with higher perceived usefulness, ease of use and enjoyment, Gen Zs are more inclined to share positive word-of-mouth for virtual tourism experiences.

This study aims to explore the orientation of Gen Zs toward virtual travel experiences in an emerging economy such as India. Implications for managers and practitioners are also discussed.

The main objective of this research is to analyze satisfaction with tourist services linked to the concept of sustainability in the context of a visit to the so-called equestrian show. The equestrian show adds values from the cultures that passed through the city. Specifically, the study focuses on tourist loyalty based on satisfaction with tourist services, satisfaction with the equestrian show and its overall quality. The fieldwork has been conducted in Córdoba, Spain. There are few studies on the relationship between tourist services linked to the concepts of sustainability and loyalty from the perspective of equestrian show management, making this a novel contribution to research.

The methodology used is based on a partial least squares structural equation modeling (PLS-SEM) approach.

To achieve the proposed objective, a structured questionnaire was used, and the results obtained confirm that satisfaction with tourist services linked to the concept of sustainability and the assessment of quality positively influence tourist loyalty. Consequently, they recommend returning to the destination and repeating the visit.

Heritage in Córdoba, Spain, is internationally recognized. Its uniqueness, with four world inscriptions along with the cultures that inhabited it, left a material heritage legacy in the city. Over time, this legacy has made it a magnet for visitors, making it essential to delve into its management and how concepts such as satisfaction with tourist services, combined with sustainability, impact the improvement of the visit.

The purpose of this study is to investigate the influence of Corporate Social Responsibility (CSR) on the sustainability of Central European SMEs by emphasizing the role of innovation as a mediator and social media as a moderator.

A questionnaire is developed, and primary data is collected from four Central European countries. Partial Least Squares Structural Equation Modelling is used to analyse data from over 1,500 SMEs operating in Visegrad countries.

Our findings reveal a significant and positive association between CSR and business sustainability. Furthermore, it is identified that innovation serves as a mediator in the CSR–business sustainability link in two of the examined countries. Additionally, the moderating effect of social media is observed in Hungary, indicating that the impact of CSR and innovation on business sustainability varies by country context.

While offering valuable insights, the study's generalizability to other regions necessitates further exploration. Additionally, the research focuses on specific mediating and moderating factors, leaving room for the investigation of other potential influences.

This study emphasises the need to integrate CSR practices and promoting innovation to improve business sustainability for SMEs in Central Europe. Recognising social media's moderating influence may help firms adjust their CSR strategies to reflect the preferences and behaviours of their target consumers.

Promoting CSR in SMEs can encourage social well-being, including community development and environmental sustainability.

This research contributes fresh insights into the interplay of CSR, innovation and social media within Central European SMEs. It underscores the importance of considering regional nuances when analysing these dynamics.

Managers in China prioritize the cultivation of loyal employees, resulting in positive effects associated with leader-member exchange (LMX). However, fragmented evidence suggests that LMX also can trigger deviant behavior. LMX provides employees with access to resources, while it also harbors potential risks for deviant behaviors. Based on the cognitive-affective system theory of personality and resource-related theories, this study aims to explore the double-edged sword effects of LMX by examining how LMX influences interpersonal deviant behaviors through emotional and cognitive pathways, respectively.

This study involved three waves of paired data surveys that were conducted in China over one month, and a total of 117 leaders and 235 subordinates participated in this study.

Even though LMX as a job resource reduces workplace anxiety, LMX also generates work overload for employees. Workplace anxiety and work overload further result in interpersonal deviant behavior. Narcissistic admiration, as a personality trait, can weaken the mediating role of work overload but not that of workplace anxiety.

The finding can help managers pay attention to negative effect of LMX and provide suggestions for preventing employees’ workplace deviant behavior.

The findings revealed how LMX leads to negative outcomes in the workplace. In addition, the results demonstrated the buffering effect of narcissistic admiration on the negative effect of LMX.