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The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

The available literature suggest that the research on radio frequency identification (RFID)-related issues is largely concentrated on technical, organizational and implementation aspects, and comparatively lesser attention has been invested in understanding the use aspect of such library management systems. The purpose of this paper is to gain an understanding into the factors that influence the use of RFID systems in the library context by empirically testing the relevant constructs from the extended technology acceptance model (TAM).

A questionnaire-based survey approach was employed for collecting the relevant data from 197 respondents. The respondents were the active users of a RFID-based library system.

Findings from this study suggested that perceived usefulness and system quality positively influence the user attitude, and user attitude and system quality significantly influence the use of the RFID services. The paper concludes with outlining the salient points, limitations, and future research directions.

The paper evaluates the role of a set of innovation attributes on the acceptance of RFID integrated systems in libraries. Owing to the scant literature availability in empirical investigations on adoption of RFID systems in libraries, the findings from this paper add value to the existing literature in this field, and also to the literature on the TAM model, with the empirical findings being of use to the aspirant libraries looking toward integrating RFID enabled systems.

The purpose of this paper is to conceptualise and discuss the possible insights that can be generated for product development by analysing the user-generated content available from various social media platforms.

The paper reviews the role of user generated content in developing products and its features (e.g. appearance and shape). It delineates the directions in which the relationship between social media content and customer oriented concepts evolve while developing successful new products.

The review and arguments presented in this paper suggest that the social media approach adds more value than the traditional approaches for obtaining insights about the products. Availability of users’ opinions and information about existing products provide insights for the improvement in the product design process. Co-creation and self-construal are important components that are based on customer engagement and customer behaviour, respectively, in the product design and development.

As social media creates new ways of communication with users, businesses can include users into the product development process to improve and refine their products or for making the next generation of products.

This paper suggests a new approach in getting useful insights about the products from user-generated contents. This way of using social media helps businesses to move forward from the traditional product development paradigms.

Despite the ever-growing number of PhD students all over the world, there remain significant doubts about whether entering students in business and management disciplines fully understand the process of producing a PhD thesis, defending it and developing a coherent publication strategy. Hence, the purpose of this paper is to offer some guidance on what it takes to successfully complete a doctoral research thesis.

The arguments and guidance presented in this viewpoint paper are drawn on the authors’ collective supervision and doctoral examination experiences.

The paper presents guidelines on three key issues related with the doctoral completion: choosing a research problem; demonstrating rigour and quality; developing a publication strategy.

The content presented in this paper would be valuable aide to those pursuing doctoral research.

The purpose of this paper is to propose and examine a conceptual model that best explains the key factors influencing Jordanian customers ' intention to adopt mobile banking (MB).

The proposed conceptual model was based on the Technology Acceptance Model (TAM). This was extended by adding perceived risk and self-efficacy as an external factors. Structural equation modelling (SEM) was conducted to analyse the data collected from the field survey questionnaires administered to a convenience sample of Jordanian banking customers.

The results showed that behavioural intention is significantly influenced by perceived usefulness, perceived ease of use, and perceived risk.

Practical and theoretical implications for both Jordanian banks and researchers in the MB context are also discussed in the concluding section.

MB-related issues are yet to be examined empirically in the Jordanian context. This submission has attempted to fill this gap by empirically examining some of the important factors influencing the adoption of MB from the Jordanian customers’ perspective.

Rogers’ diffusion of innovations theory typically concerns attributes that steer the process of inducing new ideas through various communication channels, which essentially diffuse different types of innovations into different systems. After Rogers, Tornatzky, and Klein presented 30 such attributes (five of which were Rogers’) that steered the process of innovation diffusion. The purpose of this paper is to use a systematic approach in reviewing the literature pertaining to these 30 attributes, followed by the meta-analysis of the articles collated in relevance to these attributes.

Publications in the time frame of 1996-mid 2011 in this field of literature have been shortlisted for this review. A total of 223 innovation articles are studied in detail to collate the relevant data needed to reflect on the various informative trends exhibited by the shortlisted innovation attributes.

An analysis of these trends will be carried out across three different categories – first, subjective analysis; second, seven features of an ideal innovation attribute study (approach, dependent variable, study type, instrument, measure, number of attributes, number of innovations, adopting unit); and third, antecedents and descendants of the innovation attributes, which altogether will be used deduce findings, limitations, and suggestions for future research from this review.

No recent study has analysed existing research on less explored innovation adoption attributes. Therefore, analysis and findings presented in this research is original and will make adequate contribution to the existing research on this topic. Findings presented in this submission would be helpful for researchers, authors, reviewers, and editors.

This study aims to map the conceptual structure and evolution of the recent scientific literature published in marketing journals to identify the areas of interest and potential future research directions.

The 100 most influential marketing academic papers published between 2018 and 2022 were identified and scrutinized through a bibliometric analysis.

The findings further upheld the critical role of emerging technologies such as Blockchain in marketing and identified artificial intelligence and live streaming as emerging trends, reinforcing the importance of data-driven marketing in the discipline.

The data collection included only the 100 most cited documents between 2018 and 2022, and data were limited only to Scopus database and restrained to the Scopus-indexed marketing journals. Moreover, documents were selected based on the number of citations. Nevertheless, the data set may still provide significant insight into the marketing field.

Influential authors, papers and journals identified in this study will facilitate future literature searches and scientific dissemination in the field. This study makes an essential contribution to the marketing literature by identifying hot topics and suggesting future research themes. Also, the important role of emerging technologies and the shift of marketing toward a more data-driven approach will have significant practical implications for marketers.

To the best of the authors’ knowledge, this is the first comprehensive study offering a general overview of the leading trends and researchers in marketing state-of-the-art research.

The research aims to identify the impacts of strategic knowledge (SK) and information technology capabilities (ITC) on innovation ambidexterity (IAM) through business process performance (BPP).

The research framework is developed based on the theoretical grounding of resource orchestration (RO) (SK and ITC) impacts on IAM. The structural equation modeling (SEM) technique was used to test the research framework on a sample of 441 responses from Brazilian firms.

The results suggest that SK and ITC facilitate BPP, resulting in IAM. The findings also suggested differences in path coefficients in the SK and ITC of the business value generation process framework under environmental turbulence (ET). Finally, a strong SK of ITC is especially important in enabling BPP and IAM in large firms. Another case of most manufacturing and service firms demonstrated that both SK and ITC are essential to impacting IAM through BPP mediation.

The findings provide insight into how professionals can think and plan carefully to align SK and ITC for achieving balanced innovation and improving BPP in the dynamic business environment.

The study establishes a relationship between SK, ITC, BPP and IAM. The study developed novel constructs of SK and ITC and tested them, which gives new insight and links among the constructs.