Aishath Shakeela and Saju Jose
This study aims to examines the cross-cultural perceptions and satisfaction of international tourists visiting Abu Dhabi, United Arab Emirates, focusing on how cultural…
Abstract
Purpose
This study aims to examines the cross-cultural perceptions and satisfaction of international tourists visiting Abu Dhabi, United Arab Emirates, focusing on how cultural backgrounds influence destination image and tourist experiences.
Design/methodology/approach
A qualitative, interpretivist approach was adopted, with semi-structured interviews conducted with 20 international tourists between November 2021 and March 2022. A non-probability purposive sampling was used to select participants who had previously visited key attractions in Abu Dhabi. Thematic analysis was applied to extract key insights.
Findings
The findings underscore the pivotal role of Schwartz’s universal values and cultural beliefs in shaping tourist perceptions and satisfaction. Distinct differences emerged among cultural groups: Asian tourists demonstrated a greater awareness of Abu Dhabi’s attributes, while Western tourists often held preconceived notions influenced by comparisons with Dubai. Tourists reported overall satisfaction with Abu Dhabi’s cultural and environmental offerings, but also highlighted gaps in marketing and infrastructure that could enhance destination appeal.
Originality/value
This study contributes novel insights to the relatively underexplored domain of cross-cultural tourism in the Middle East. By exploring the dynamic interplay between cultural values and tourist perceptions, it offers actionable recommendations to enhance Abu Dhabi’s position as a global tourism hub, bridging gaps between academic literature and industry practices.
Details
Keywords
Saju Jose and F. Robert Buchanan
This paper aims to examine characteristics of emerging market small and medium-sized enterprise (SME) decision makers in their entry to exporting. What prior experience is…
Abstract
Purpose
This paper aims to examine characteristics of emerging market small and medium-sized enterprise (SME) decision makers in their entry to exporting. What prior experience is significantly related to an export orientation? How influential are factors that would both aid and inhibit exports? What about the decision to not initiate exporting.
Design/methodology/approach
In total, 319 surveys were collected from managers in South India for quantitative and qualitative analysis. Structural equation modelling was used to test the model.
Findings
Fluency in English was the only significant managerial characteristic associated with a positive perception of export benefits. Education and export experience were not significant strategic factors. SMEs who only serve their domestic market were not averse to exporting but were satisfied with the performance of their home markets. Once deciding to export, use of export intermediaries helped them to move towards presence in multiple markets. None of the inhibiting costs or constraints involved with exporting, other than labour, transportation differentials and export controls, were significantly influential in the export decision process. However, exports were favourably influenced by perceptions of the firms’ quality, pricing, selection and business relationships.
Practical implications
The value of export intermediaries and government agencies is clearly indicated from this study. Such providers could use these findings to target decision makers and assist in overcoming objections to branching out beyond a domestic-only strategy. One strategy option is to establish a strong market presence in the home state and then “export” to adjoining states. The findings might be generalised to other emerging markets as well.
Originality/value
Export entry decision-making is an under-researched area in emerging markets.
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Prakhar Prakhar, Fauzia Jabeen, Rachana Jaiswal, Shashank Gupta, Patrice Piccardi and Saju Jose
Electric vehicle adoption (EVA) drives sustainability by significantly reducing carbon emissions and reliance on fossil fuels. Despite EVA’s notable advantages from existing…
Abstract
Purpose
Electric vehicle adoption (EVA) drives sustainability by significantly reducing carbon emissions and reliance on fossil fuels. Despite EVA’s notable advantages from existing literature and its evolving nature, a gap persists in evaluating EVA research. This research presents a systematic literature review, offering insights into the current state of EVA advancements.
Design/methodology/approach
This study amalgamates various factors influencing EVA and elucidates their associations, fostering sustainable transportation. To evaluate progress in this domain, we adopt the Theory-Context-Characteristics-Methodology (TCCM) framework, systematically assessing the theories, contextual factors, characteristics and methodologies employed in EVA research to support efficient decision-making.
Findings
The study reveals 18 theories, prominently including the theory of planned behavior, innovation diffusion theory, technology acceptance model and UTAUT. The study identifies diverse factors such as perceived risk, effort expectancy, social norms, performance expectancy, government policy, personal norms, attitude, perceived behavioral control, subjective norms, demographics and ecological knowledge as pivotal in shaping attitudes and intentions toward electric vehicle adoption. Furthermore, structured equation modeling emerges as the predominant methodology, while including alternative approaches enriches the methodological landscape, contributing to a more comprehensive understanding of the factors driving EV adoption.
Practical implications
The insights gained from this research can inform policymakers, manufacturers and researchers, ultimately contributing to the global transition towards more sustainable transportation solutions.
Originality/value
This research’s cardinal contribution lies in developing an integrated theoretical framework, a novel approach that offers a structured and holistic perspective on the multifaceted determinants of EVA. This framework not only illuminates the intricate relationships among these variables but also opens up exciting avenues for future research.