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The drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers’ intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers’ intention to use DFDS (ITU).

Survey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses.

The study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU.

This study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits.

eWOM is a very useful tool that is widely used nowadays to make a purchase decision. One of the sectors where this tool is very present is the gastronomic sector and Peru is no stranger to this gastronomic take-off. As a part of this take-off, Nikkei or Peruvian-Japanese cuisine have gained plenty of attention through digital social platforms, with a significant number of users relying on eWOM to determine which is their best purchase option; nevertheless, there is a lack of local investigations that addresses a correlation between eWOM and purchase intention in this type of restaurants. With the last statement, this study aims to determine the influence of eWOM on the purchase intention of consumers of Nikkei restaurants in Lima, Peru.

A quantitative descriptive and causal explanatory research was conducted, using the Information Acceptance Model (IACM) to test the purpose of the study. A total of 385 surveys were obtained and processed in SmartPLS.

The results show that consumers of Nikkei restaurants in Metropolitan Lima are mostly guided by the eWOM that is on social media to make a purchase decision. In addition, information usefulness is the eWOM dimension that most influences purchase intention. Finally, it was found that the credibility of the eWOM does not influence the information usefulness, which could be due to the distrust of the sources and the anonymity of the eWOM.

The present investigation identified that certain dimensions of the IACM does not influence their hypothesized counterparts, such as credibility and attitude towards information over information usefulness; circumstances that may conduct to other local studies based on the IACM applied to other type of restaurants to observe if there is some type of variation in the results obtained of both hypotheses.

From a practical point of view, the results obtained are valuable for social media marketers and generally digital marketing professionals, which by themselves provide a framework that assures a better understanding about the impact of eWOM in the purchase intention of Nikkei Restaurant consumers.

As the potential for this research to impact society in visible ways, it identifies how current individuals in a certain time and location, tend to act towards information obtained in social media or specialised forums; as well as how the characteristics of this information could affect their final purchase decision.

To the best of the authors’ knowledge, this is one of the first articles to study the influence of eWOM on purchase intention in the gastronomic sector in Peru, a country famous for its gastronomy. In this way, experts and professionals in this field will be able to generate knowledge of this tool, as well as generate strategies to improve sales of Nikkei restaurants and in general within the gastronomy industry in Peru.

This study aims to investigate the impact of Holland’s theory of career choice (RIASEC [realistic, investigative, artistic, social, enterprising and conventional]) on the entrepreneurial event model (EEM) and the agropreneurial intention among university students.

This study is quantitative research, and 772 undergraduate students from public and private universities in Malaysia participated. The data were then analysed using SmartPLS 4.

The statistical analysis revealed that the realistic, artistic, enterprising and conventional in Holland’s theory of career choice (RIASEC) are antecedents of perceived desirability and feasibility, which has an indirect effect on agropreneurial intention. Additionally, all dimensions of EEM have a direct effect on agropreneurial intention.

Despite the importance of agriculture in providing food security and reducing poverty, especially in rural areas, there is very limited empirical research in this area. Notably, most of the research on the intention to become an entrepreneur is general entrepreneurship. This study, therefore, undertakes an interventionist role to investigate the factors influencing agropreneurial intention among youth.

This study aims to investigate the impact of trust in the metaverse on the Islamic banking sector, particularly in facilitating market success. Additionally, it seeks to explore the relationship between metaverse-driven brand image, product features, service quality and overall performance in the market.

Data were collected from 187 participants in Jordan, with the SmartPLS software used to test the hypotheses.

The findings reveal a significant impact of metaverse-enhanced brand image, product features and service quality on Islamic banking market performance. Furthermore, customer trust in the metaverse plays a significant role in shaping the relationship between product features, service quality and Islamic banking market performance.

The study’s practical implications still suggest the need for a more holistic metaverse-driven approach. Investing in service quality initiatives alone may not adequately build and sustain customer trust in the metaverse. Instead, transparent communication on ethical practices in the metaverse is required to reinforce trust and magnify the positive influence of superior service quality in the metaverse.

Joint advertising is an emerging strategy where marketers promote both brands in the same marketing communication. This research determines how the domestic, foreign, or global nature of the partner impacts important brand-related outcomes and identifies underlying psychological process mechanisms and contextual variables that affect this relationship.

Across three experiments, we investigate how the type of joint advertising partner impacts consumer attitudes and behaviors. We establish the number of similarities between the partners and perceived cognitive fit as the mediating process mechanisms underlying this relationship, with holistic processing moderating the effect.

We find that when consumers are exposed to joint advertisements between domestic or global [foreign] brands, they will be able to generate more [fewer] similarities between the partners and perceive a stronger [weaker] cognitive fit. Moreover, these similarities interact with consumer cultural traits related to holistic processing style to differentially influence perceived cognitive fit and downstream consumer attitudes and behaviors.

Partnering for mutually beneficial, joint advertisements is a growing phenomenon that redefines traditional thinking about advertising, but the success of the joint advertisement is contingent upon the characteristics and compatibility of the partners.

Customer incivility is a crucial issue that has multiple negative effects on organizations, especially in the hospitality industry. This study identified the antecedents of customer incivility and investigated its outcomes on frontline employees (FLEs) in the emerging market of Vietnam.

This study used a quantitative methodology featuring interviews with 476 FLEs who frequently experienced customer incivility in Vietnamese restaurants and hotels. The data were analyzed using structural equation modeling.

The findings demonstrated four antecedents of customer incivility (training/knowledge, FLE incivility, service orientation, and environment) and three outcomes (revenge motivation, service sabotage, and turnover intention), as well as the mediating role of revenge motivation.

Managers can establish and upgrade training lessons with different syllabi for numerous FLE groups to improve staff perceptions and enhance the organization’s service orientation and environment, which can support the minimization of revenge motivation, service sabotage, and turnover intention among frontline staff members.

This study highlights how impactful customer incivility is and how to eliminate it by clarifying its origins and effects in Vietnamese hotel and restaurant organizations.

This study investigates the interaction between organizational strategic factors (Leadership and management support [LMS] and green learning orientation [GLO]) and green innovation performance (GIP), through the lens of resource-based view (RBV) theory. It examines both the direct and indirect impacts of these factors on GIP via green knowledge management (GKM), and explores how green absorptive capacity (GAC) enhances these relationships.

Using Partial least squares structural equation modeling (PLS-SEM) and moderated mediation analysis, we analyzed responses from 419 individuals across 154 manufacturing firms in Pakistan to understand these dynamics.

Results show that LMS and GLO significantly affect GIP, both directly and indirectly, through GKM. Furthermore, GAC intensifies the impact of GLO on GKM and the influence of GKM on GIP, indicating a moderated mediation effect.

Highlighting the importance of LMS, GLO, GKM, and GAC, the study suggests that focusing on these areas can help firms align their strategies with sustainability goals, enhancing their GIP. These insights can guide policymakers in creating supportive strategies for businesses to improve their GAC, facilitating better knowledge adoption and application.

The research contributes to the RBV theory by clarifying the role of strategic organizational factors in enhancing GIP within manufacturing firms, offering a clearer path to achieving sustainability goals.

Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide building blocks for future inquiry, practice and innovation. This article summarizes the findings of an analysis of the adoption and reporting of partial least squares structural equation modeling (PLS-SEM) analytical tools by Industrial Management & Data Systems authors in the most recent five-year period.

Selected emerging advanced PLS-SEM analytical tools that have experienced limited adoption are highlighted to broaden awareness of their value to IS researchers.

PLS-SEM analytical tools that facilitate understanding increasingly complex theoretical models and deliver improved prediction assessment are now available. IS researchers should explore the opportunities to apply these new tools to more fully describe the contributions of their research.

Findings demonstrate the increasing acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is a preferred structural equation modeling (SEM) method in many research settings and will become even more widely applied when IS researchers are aware of and apply the new analytical tools.

Emerging PLS-SEM methodological developments will help IS researchers examine new theoretical concepts and relationships and publish their work. Researchers are encouraged to engage in more complete analyses by applying the applicable emerging tools.

Applications of PLS-SEM for prediction, theory testing and confirmation have increased in recent years. Information system scholars should continue to exercise sound practice by applying these new analytical tools where applicable. Recommended guidelines following Hair et al. (2019; 2022) are included.

This study aims to examine the impact of firm-generated content (FGC) on lesbian, gay, bisexual, transgender, queer/questioning (LGBTQ+) influencers, focussing on inclusive marketing strategies and enquires the ability of LGBTQ+ influencers to enhance brand engagement and loyalty within diverse communities.

A quantitative approach was utilized, and data was collected via social media platforms. Structural equation modelling (SEM) was employed to explore the relationships between FGC, influencer content, dimensions of place attachment and brand loyalty.

According to the findings FGC positively influences LGBTQ+ influencers, which in turn affect in a significant way place identity and place social bonding. Both dimensions of place attachment were found to have a positive impact on brand loyalty, which indicate that LGBTQ+ influencers have an important role in enhancing brand engagement through inclusive marketing.

Firms in order to increase their brand loyalty and customer engagement, need to adopt inclusive marketing strategies that resonate with LGBTQ+ communities. In order to do so they need to work with LGBTQ+ influencers that can effectively communicate the brand’s commitment to diversity and inclusion, thus fostering a stronger emotional connection with the brand.

This study introduces a conceptual framework that highlights the mediator role of place attachment in the relationship between influencer marketing and brand loyalty. This research contributes to the existing literature by providing empirical evidence on the effectiveness of leveraging LGBTQ+ influencers in inclusive marketing campaigns.

Manufacturing systems have undergone radical changes because of the implementation of physical and digital innovating technologies with high levels of connectivity, interoperability and autonomy. In this regard, the objective of this study was to investigate whether industrial engineers graduated in recent years in Brazil are prepared or not to work in companies and industries within the scope of Industry 4.0 technologies in a way that they positively contribute to the implementation and management of such technologies.

To achieve these objectives, a literature review and a survey on managers of the industrial sector acting in Brazil were carried out as the research strategies. The data collected were analyzed through a quantitative approach by means of the structural equations modeling method.

The hypothesis that the competencies of industrial engineers currently graduating in Brazil have a positive impact on the implementation and management of Industry 4.0 technologies has been confirmed. Predicting the evolution of production scenarios, understanding the interaction between organizations and their impacts on competitiveness and keeping abreast of technological advancements, organizing them and putting them to the service of business and societal demands were the competencies that obtained the highest factor loadings in the construct of industrial engineer competencies. In addition, cloud manufacturing, automation and robotization were the competencies that obtained the highest factor loadings in the industry 4.0 construct.

The analysis of skills development stands out as a source of competitive advantage for companies that intend to transition to a production system aligned with the principles of Industry 4.0, considering the training of professionals in an emerging economy context.