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The purpose of this paper is to examine the influence of experiential marketing modules, service quality and social judgement on experiential values of young customers. The paper also investigates the effects of experiential values on customer satisfaction (CS) and post-purchasing behaviour. In addition, the paper intends to strengthen the shift in marketing paradigm and to provide insightful enhancements to the literature.

An instrument was developed to measure how strategic experiential module (Schmitt, 1999), social judgement module (Rosenberg et al., 1968) and service quality perceptions of customers influence functional and emotional values. Primary data were gathered through surveying 402 respondents in order to diagnose young customers’ experiences in popular coffee stores in Phnom Penh, Cambodia. The constructs and their interrelationships were examined based on partial least square-structural equation modelling (PLS-SEM).

The results of PLS-SEM were found to be adequate in terms of validity and reliability. The results revealed that some of experiential modules and service quality have positive stimuli on experiential values. These contributions postulate an impetus for potential exploration in numerous service settings.

The study assesses the effect of shopping experiences of young customers on experiential values, social judgement, CS and post-purchase shopping attitudes. It is anticipated that by filling this gap, this study will assist in strengthening marketing strategies, which requires an alteration in the existing business atmosphere. The suggestions and results for future research are discussed in detail accordingly.

Disasters are catastrophic events that result in loss of life, injury and significant disruptions to everyday life. Unsustainable poverty, crises and migration policies worsen them. This study aimed to evaluate the critical perspectives of G7’s country leaders regarding their national agendas in 2022, focusing on the sustainable development goals (SDGs) and the Sendai Framework for Disaster Risk Reduction (SFDRR).

This study utilized document analysis, one of the qualitative research methods. Using purposive sampling, we analyzed 20,215 words of X (Twitter) data from G7’s country leaders between January 1 and December 31, 2022, with a thematic approach using MAXQDA qualitative software. MAXQDA applied Code Cloud, Code Matrix Browser, Word Frequencies and MaxMaps Code Models tests. Results are presented based on codes, categories and themes identified during analysis.

The G7’s country leaders emphasized peace, justice and strong institutions as their SDGs priority. However, it was observed that developed nations often overlooked critical issues such as hunger, quality education and inequality in their agendas in 2022. Based on SFDRR, the leaders addressed crisis response and recovery topics, but it is crucial to note that there is a need for a shift towards proactive measures in their disaster policies. The study also noted limited coverage of migration issues affecting many countries globally. There is an urgent need to address hunger, provide quality education and reduce inequality worldwide.

This study has several limitations: Former Italian Prime Minister Mario Draghi did not have an X (Twitter) account in 2022, and the data only reflect the situation in 2022. Also, simply analyzing statements does not necessarily indicate what these countries support and promote in practice. However, this study could be enhanced by including analyses of funding allocations for projects that target various SDGs and SFDRR objectives. Lastly, this study focused on the strategic policy statements made by representatives of different countries. It does not include tactical and operational disaster management processes, which is a limitation because it is difficult to provide a broader perspective.

Developed countries’ approaches to disaster and development policies are essential for disaster risk reduction strategies. Future analyses of funding allocations for projects targeting various SDGs and SFDRR objectives can lead to practical implications.

The authors present a critical viewpoint on the SDGs and SFDRR perspectives of G7’s country leaders. As developed countries possess significant resources and capabilities, they should set a positive example in the global implementation of disaster policies. Consequently, their annual official statements are a valuable guide for disaster policymakers and practitioners.

This study aims to explore supply chain disruptions during the COVID-19 pandemic in the small and medium enterprise (SME) sector in Oman. This study analyzes the impact on selected supply chain drivers – facilities, inventory, transportation and sourcing. It further intends to explore whether the supply chain challenges faced by the SME sector in Oman impact their overall performance.

This study follows the quantitative technique of structural equation modeling to examine the proposed hypotheses. Data were collected electronically from SME managers/owners/entrepreneurs. All items were adopted and measured using a five-point Likert scale. One hundred and four complete and usable responses were received and considered.

The data was analyzed using SPSS and PLS statistical software. The model has been supported empirically, and the results showed a significant relationship between supply chain drivers and SMEs’ overall performance in Oman, except for supply chain inventory. The results have demonstrated that the COVID-19 pandemic has affected the SMEs’ supply chain drivers in Oman and, consequently, their overall performance.

The results of this research can drive the development and implementation of a supply chain management strategy. This research will help policymakers induce the performance of SMEs affected by the COVID-19 pandemic. It would further enhance strategic sourcing and supplier performance considering the developed practices associated with the resource-based view.

The originality of the current study lies in its ability to empirically test two models within the Omani SMEs context while considering the supply chain drivers as a single variable or dividing it into four separate independent variables. This study would provide a preview for scholars for such empirical investigation and serve as a reference for policymakers and practitioners to maintain a management system of crises that may protect the SME supply chain drivers.

The purpose of this study is to examine and understand the experiences of tourists in the Turkish coffee houses in Istanbul, Turkey.

In this study, a qualitative case study method was used to analyze tourists’ comments with user-generated content technique by analyzing tourists’ comments. The data used in the study was collected through TripAdvisor, which is considered one of the most famous websites with tourist reviews and comments, between 20 May and 10 June 2020 from tourists’ reviews (n:219).

The findings show that Turkish coffee house experiences are heterogeneous based on the dimensions of coffee characteristics, place, satisfaction, recommendation and revisit intention, value/price and value-added experience. Moreover, value-added experience includes some sub-themes such as a memorable experience, authentic experience and culture learning experience.

There are some studies on Turkish coffee and Turkish coffee culture in the literature, but there have been no empirical studies investigating the Turkish coffee house experiences of tourists. For this reason, this study aims to examine and understand the experiences of tourists in Turkish coffee houses. Therefore, it is believed that this study will fill the current gap in the literature on tourists’ experiences of Turkish coffee houses.

Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.

In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.

Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.

We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.