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Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

The aim of this study is to evaluate the implicit and explicit attitudes of Generation Z (Gen Z) individuals toward the experience of visiting and getting to know traditional or virtual museums.

Two studies were conducted. The first study assesses the implicit attitudes of Gen Z individuals through Implicit Association Tests (IAT) toward the experience of visiting traditional versus virtual museums. Considering the results of the study one, the second study proposes and validates a conceptual model through PLS-SEM approach about the explicit attitudes of this generation toward virtual museums.

In the first study, it was found that virtual museums are more successful at engaging and immersing participants than traditional museums for Gen Z. The second study emphasized the significance of meeting Gen Z expectations and ensuring effortless access to information in virtual experiences as this can lead to increased satisfaction and inspiration among this generation.

The originality of this study lies in its focus on Gen Z's attitudes toward virtual museums and the use of both implicit and explicit attitude measures to gain a comprehensive understanding of these attitudes. An interesting aspect emerges from the implicit attitudes displayed by Gen Z, indicating their preference for virtual museums as more captivating compared to traditional ones.

Newly established intersections between offline and online channels create room for enhancing inter-channel synergies. The nature and structure of emerging markets only further emphasize the need to expand existing knowledge. Consequently, this study investigates inter-channel synergy creation during offline–online retail integration in emerging markets.

Data collected from 97 companies in Serbia that incorporated online channels into their offline retailing businesses were analyzed using the structural equation modeling method.

The results show that retailers who have undergone click-to-brick integration in the emerging markets struggle to leverage physical presence for inter-channel synergy creation through digital channels. Essentially, retailers integrating clicks into bricks in emerging markets are less likely to achieve immediate omni-channel synergy, resorting to a multi-iterative transition process.

This research synthesizes knowledge on inter-channel synergy creation in an omni-channel context, as well as existing findings regarding inter-channel integration. This paper presents the first comprehensive study on inter-channel synergy creation during click-to-brick integration in emerging retail markets. Moreover, this study outlines challenges facing retailers seeking channel synergy during click-to-brick integration. The study results have theoretical and practical implications regarding inter-channel synergy creation in the multi-channel environment of emerging markets.

Selfie is a popular self-expression platform to visually communicate and represent individual thoughts, beliefs, and creativity. However, not much has been investigated about selifie's pedagogical impact when used as an educational tool. Therefore, the authors seek to explore students' perceptions, emotions, and behaviour of using selfies for a classroom activity.

A triangulated qualitative approach using thematic, sentiment, and selfie visual analysis was used to investigate selfie perception, behaviour and creativity on 203 undergraduates. Sentiment analyses (SAs) were conducted using Azure Machine Learning and International Business Machines (IBM) Tone Analyzer (TA) to validate the thematic analysis outcomes, whilst the visual analysis reflected cues of behaviour and creativity portrayed.

Respondents indicated positive experiences and reflected selfies as an engaging, effortless, and practical activity that improves classroom dynamics. Emotions such as joy with analytical and confident tones were observed in their responses, further validating these outcomes. Subsequently, the visual cue analysis indicated overall positive emotions reflecting openness towards the experience, yet also reflected gender-based clique tendency with modest use of popular selfie gestures such as the “peace sign” and “chin shelf”. Furthermore, respondents also preferred to mainly manipulate text colours, frames, and colour blocks as a form of creative output.

The study's findings contribute to the limited studies of using selfies for teaching and learning by offering insights using thematic analysis, SA and visual cue analysis to reflect perception, emotions, and behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0608/

This study considers perceived enjoyment and attitude consistency as internal states of consumers in an omni-channel environment. This study aims to investigate the mediating role of perceived enjoyment and attitude consistency to reveal how omni-channel environment factors of interaction fluency, convenience, price advantage and personalization contribute to omni-channel shopping intention.

Consumers who had shopped at Uniqlo's online and offline stores were surveyed through an online questionnaire, and 566 data were collected for analysis through partial least squares structural equation modeling (PLS-SEM).

The results find that interaction fluency, price advantage and personalization positively affect perceived enjoyment, interaction fluency and convenience positively affect attitude consistency and perceived enjoyment and attitude consistency in turn facilitate omni-channel shopping intention. The mediating role of perceived enjoyment and attitude consistency was confirmed.

The original finding of this study is that factors such as interaction fluency, convenience, price advantage and personalization in omni-channel retailing require momentary and continuous affective states of consumers to facilitate omni-channel shopping intention, respectively. Therefore, this study considers the necessity of capturing different affective states of consumers in omni-channel shopping.

The study aims to investigate students' attitudes toward using technology for micro-credential programs (MCPs) and their behavioral intention toward using MCPs for learning and enhancing their skills. The study also intends to investigate the moderating influence of labor market conditions (LMC).

A closed-ended questionnaire is employed to collect data from 474 participants through a convenience sample, from the university students in Karachi. Two theoretical frameworks are used in the study: technology acceptance model (TAM) and self-determination theory (SDT). The partial least squares structural equation modeling (PLS-SEM) technique is used to analyze data.

Findings reveal significant and positive relationships between all variables, except controlled motivation (CM) and perceived challenges. Moreover, the moderation results ascertain that the labor market does not moderate the relationship between attitude toward using technology for MCPs and students' behavioral intention toward using MCPs for learning.

The study seeks to understand students' attitudes and behavioral intentions toward using technology for MCPs. Also, the moderating effect of LMC is highlighted in understanding the impact of the attitude to use technology (AT) for MCPs and behavioral intentions in higher educational institutions (HEIs) in Pakistan. The study highlights intuitive practical implications for students of HEIs, universities and digital credential program providers.

This study explores the present state of research related to omnichannel retail, investigates retail's different sub-areas and suggests future research directions.

The subdomains of omnichannel retail have been identified using a keyword co-occurrence network (KCN) map and content analysis. The 5W1H method assisted in finding the bibliographies of 258 SCOPUS-indexed and ABDC-ranked journal articles and showcasing the omnichannel retail landscape.

Most research on omnichannel retail is concentrated on five subdomains: customer behaviour, channel integration, technological innovation, supply chain and operations and strategy. The study's conceptual framework illustrates the omnichannel retailing environment and the variables that must be considered whilst establishing an omnichannel strategic vision. Besides, future researchers have been urged to concentrate on interdisciplinary research, as a seamless experience is unachievable if focussed on a single subdomain.

There is a slight probability of missing out on some good articles as this study considered only those articles that have been published in SCOPUS and ranked by the ABDC quality list.

This study emphasises that for businesses to capitalise on the omnichannel model, the businesses must undergo a transformation involving technology convergence, customer-centricity and internal process reorganisation that integrates consumer feedback to co-create value. When a business adopts an omnichannel model, the business's priorities shift. Rather than depending solely on technology, faster delivery and channel integration, an omnichannel strategy requires strong leadership, a clear vision, training for all stakeholders and an understanding of customer pain points to reach the full potential.

The illustration of the omnichannel retail landscape using the 5W1H methodology and antecedents-decisions-outcomes (ADO) framework.

Through the “Going Digital Initiative,” the Ghanaian government has introduced policies that aim at improving the information and communication technology (ICT) infrastructure of the country. These ICT policies have benefited numerous sectors of the Ghanaian economy. In logistics management, ICT has impacted drone medical delivery in the healthcare and maritime sectors. However, the importance of ICT is not realized in the motorcycle goods transport (MGT) industry, regardless of its popularity and high economic dependency. Second, all research on motorcycles is focused on diverse social concerns, and no study has attempted to analyze ICT implementation for MGT operations. This is a significant gap in logistics management. Hence, the study aimed to investigate the impact of ICT on Ghana's MGT industry empirically.

The study adopts a two-phase data collection approach to collect the data. The authors use partial least square structural equation modeling to analyze the study's measurement and structural assessment model.

ICT positively impacts MGT and the drivers considered. The drivers positively influence MGT. The study further analyzes novel results on the relationships between the drivers and their mediating roles in enhancing MGT performance.

The study's originality is the extension of ICT adoption and usage in MGT. The lack of literature on the importance of ICT for MGT services makes this study the primary source of literature, and the relationships investigated are unique as the research area is unexplored.

The purpose of this study explores the perspective of key informants (educators, preceptors and former students) of the Kintampo Project, on the perceived effectiveness, gains and challenges in delivering this large-scale training innovation in Ghana. The problem of mental health care neglect in Ghana is gradually improving. The Kintampo Project which trained mental health workers in Ghana has played a critical role in increasing access to mental health care.

This qualitative study explored participants' perspectives on the Kintampo Project in three broad areas: perceived effectiveness, gains and challenges. In all, 17 interviews were conducted with former students, preceptors and educators from the project. The interviews were digitally audio-recorded, transcribed, coded and analysed using deductive and thematic methods.

The participants perceived the project to have been successful in increasing the number of mental health workers in Ghana. The project provided a route for career progression for those involved. However, the Kintampo Project faced accreditation issues, low recognition, improper integration and remuneration of trained staff in the Ghana Health Service. This study points to the fact that the sustainability of mental health training in Ghana can be obstructed, because of this career path being less attractive. Further research is needed to explore how best to achieve sustainability of similar mental health innovations.

This paper shares the views of participants in the Kintampo Project.

This paper aims to explore students’ intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh.

The present study uses convenience sampling techniques to collect data from the respondents. It applies partial least squares structural equation modeling (PLS-SEM) for analyzing a total of 413 responses to examine the study’s measurement and structural model.

The results explore that perceived ease of use (PEOU) negatively affects intention to adopt AI-powered chatbots (IA), whereas university students’ perceived usefulness (PU) influences their IA positively but insignificantly. Furthermore, time-saving feature (TSF), academic self-efficacy (ASE) and electronic word-of-mouth (EWOM) have a positive and direct impact on their IA. The finding also reveals that students' IA positively and significantly affects their actual use of AI-based chatbot (AU). Precisely, out of the five constructs, the TSF has the strongest impact on students’ intentions to use chatbots.

Students who are not aware of the chatbot usage benefits might ignore these AI-powered language models. On the other hand, developers of chatbots may not be conscious of the crucial drawbacks of their product as per the perceptions of their multiple users. However, the findings transmit a clear message about advantages to users and drawbacks to developers. Therefore, the results will enhance the chatbots’ functionality and usage.

The findings of the study alert the teachers, students and policymakers of higher educational institutions to understand the positive outcomes and to accept AI-powered chatbots such as OpenAI’s ChatGPT. Outcomes also notify the AI-product developers to boost the chatbot’s quality in terms of timeliness, user-friendliness, accuracy and trustworthiness.