Search results

This paper aims to provide an interpretative synthesis and critical reflection on the concept of “volatility, uncertainty, complexity and ambiguity” (VUCA) and its implementation in tourism and hospitality marketing activities and explain why it is useful and necessary.

This paper is based on a critical reflection research methodology which allows for a synthesis of data from the traditional narrative review and on the authors’ experiences and observations.

The volatile environments in which entities from the tourism and hospitality industry (T&HI) operate necessitate a redefinition of the rules for designing marketing activities. The VUCA concept may serve as the basis for these changes. Its implementation requires specific managerial skills enabling T&HI entities to use an agile marketing strategy. The latter should be based on a flexible and customer-centric approach.

This paper provides a VUCA framework for adapting marketing mix instruments to the rapidly changing hospitality and tourism industry. This paper also offers several useful guides for practitioners on different aspects of VUCA within the industry.

To the best of the authors’ knowledge, this paper is one of the first attempts to reflect critically on the possibilities of using the VUCA concept in marketing by the T&HI and contributes to the discussion about the conditions for its implementation. This paper offers suggestions about the dynamic competencies of tourism and hospitality managers (enterprise and leader oriented), which are essential when designing marketing mix instruments in line with the VUCA concept, and indicates directions for future research.

The purpose of this study was to develop the augmented reality (AR) educational program combined with the instructional guidance for supportive learning, which enhanced the thinking process cooperative discussion and problem-solving skills in chemistry subject.

The method used the quasi-experimental research design. Of the 45 students who attended this experiment, only 25 with low achievement qualified in operating the AR learning system of saponification and transesterification environment (ARLS-STE) system.

These results confirmed that the AR educational program could have increased substantial benefits in improvements of students’ knowledge and the ability of the thinking process for the participants with the lowest score. In semi-structured interviews, most of participants enjoyed manipulating the ARLS-STE system, which was realistic, motived and interesting for learning science subjects.

The low-achieving students have often been known with a low learning capability, and they lack in developing constructional knowledge, despite being keen for learning. Regarding educational concerns for this population, providing orientated learning and supportive materials could increase their learning effects. Virtual worlds are an efficient learning tool in educational setting. The AR can offer visual concepts and physical interaction for students with low achievement in learning. Thus, this study investigates the acceptability of an educational program designed in the ARLS-STE, which involves the learning effects of academic knowledge and the capability of thinking process for students with low achievement. The ARLS-STE system was developed for this proposal, based upon the marker-based AR technologies combined with hands-on manipulation.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.