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Security education, training and awareness (SETA) programs are the key to addressing “people problems” in information systems (IS) security. Contrary to studies using conventional methods, the present study leveraged an “event” lens and dimensionalized employees' perceptions into three sub-dimensions: perceived novelty, perceived disruption and perceived criticality. Moreover, this research went a step further by examining how pedagogical and communication approaches to a SETA program affect employees' perceptions of the program. This study then investigated whether – and if so, how – these approaches impact employees' perceptions of the SETA program and their subsequent commitment to it.

Utilizing a factorial-based scenario survey, this study empirically tested a model of the above relationships via covariance-based structural equation modeling.

The results of this research showed that pedagogical approaches were more effective than communication approaches and that employees' perceptions of the SETA program accounted for a large variance in their commitment to SETA.

First, this research deepens understanding of the protection of information assets by elaborating on the different approaches that organizations can take to encourage employees' commitment to SETA. Second, the study enriches the SETA literature by theorizing a SETA program as an organizational “event”, which represents a major shift from the conventional approach. Third, the study adds to the theoretical knowledge of the event lens by extending it to the SETA context and investigating the relationship among three event strength components.

The purpose of this study was to examine how two socio-historical contexts within the United States, the Movement for Black Lives and the COVID-19 pandemic, informed approaches to improving racial climate in science, technology, mathematics and engineering (STEM) graduate education.

The authors used a general qualitative inquiry research study design to conduct focus groups (n = 121) with graduate students, postdoctoral fellows and faculty members from across STEM disciplines as well as administrators whose work involves STEM graduate students. Participants were from two US institutions involved in a National Science Foundation networked improvement community seeking to create inclusive environments for STEM graduate students.

This study demonstrates how these socio-historical contexts illuminated and amplified on-going efforts to address racial climate for graduate students in US-based graduate education. In response to these events, STEM faculty devoted time that otherwise might have gone to purely technical or scientific endeavors to addressing racial climate. However, some faculty members remain hesitant to address racial climate and efforts appear to have further waned over time. While diversity, inclusion and equity efforts came to the forefront of the collective consciousness during this time, participants worry that these efforts are not sustainable, particularly without support from faculty and administrators.

The findings from this study will inform efforts to improve racial climate in STEM graduate programs.

This study fills an identified need to capture how socio-historical contexts, like the US Movement for Black Lives and the COVID-19 pandemic, have influenced approaches to improving racial climate in STEM graduate programs.

This paper investigates how Indonesian regional government-owned enterprises disclose what they plan, account for and report their sustainable development goal (SDG) contributions, showcasing their commitment in attaining impactful SDG achievement. In doing so, it aims to highlight how adopting a sustainability accounting and reporting (SAR) framework can enhance SDG disclosures.

Content analysis, guided by an adapted SAR framework, is employed to examine the SDG disclosures across planning, accounting and reporting in 2019–2020 annual/sustainability reports of the 24 enterprises.

Most Indonesian regional government-owned enterprises or badan usaha milik daerah (BUMDs) studied adhered primarily to Financial Services Authority Regulation (Otoritas Jasa Keuangan (OJK)) 51/2017, which does not sufficiently enforce SDG disclosures in the planning stage. They disclosed SDG-related activities in the accounting and reporting stages, highlighting programme implementation and budget realisation with little emphasis on strategic planning. This resulted in inadequate evidence in the disclosures of the strategic actions to comprehensively plan, account for and report their SDG achievement, essential information for stakeholders to showcase their meaningful actions to contribute to national and global SDG progress.

Prior SDG disclosure studies highly focus on analysing the linkages of organisations’ reported sustainability programmes contributing to national SDG achievements, neglecting the investigation of how organisation should employ SAR to disclose what they plan, account for and report their impactful SDG contribution to stakeholders. This paper addresses this underexplored context, particularly in local government-owned enterprises which have a crucial role in accelerating SDG achievement. Given the global nature of SDGs, this analysis provides valuable lessons for organisations and regulators in Indonesia and other developing countries to utilise SAR to enhance SDG reporting. So that, they can better plan, account for and report tangible actions toward meaningful SDG achievement.

Successful commercialization is crucial to innovative firms, but further investigation is needed on how diverse stakeholders can contribute to the commercialization of a radical innovation that requires particular market creation support. This paper aims to, therefore, analyze the key stakeholders and their contributive activities in commercialization and market creation, particularly in the case of radical innovations.

This study relies on qualitative research design including interviews with key stakeholders, such as regulators, scientists, experts, licensing partners, core company representatives and extensive secondary data. This single-case study concerns a functional food product, which is a radical innovation requiring the development of a novel product category positioned between the food and medicine categories in global market settings. Since its market launch in 1995, the involvement of multiple stakeholders was needed for its successful commercialization in over 30 countries.

Results uncover the contributions of diverse stakeholders to commercialization and market creation, particularly of radical innovation. Stakeholders performed market creation activities such as regulating the marketing and labeling of food products, conducting safety assessments, revealing and validating the positive health effects of the novelty and raising awareness of healthy living and cardiovascular health. The commercialization activities included distributing the products overseas, applying the ingredient to different food products and making the products available for users.

This single-case study provides an overview of the positive stakeholder activities with contributions to market creation and commercialization of functional food innovations. Although the user perspective was not included in the empirical part of this study because of our focus on B2B actors, users of the innovation can contribute to R&D activities to a great extent.

The developed framework of stakeholders’ contributive activities in radical innovation commercialization and market creation contributes to literature discussing market creation as well as commercialization within the marketing and innovation management research fields. This work also generates practical advice for managers who commercialize (radical) innovations.

The purpose of this paper is to explore how GenAI can help companies achieve a higher level of hyper-segmentation and hyper-personalization in the tourism industry, as well as show the importance of this disruptive tool for tourism marketing.

This paper used the Web of Science and Google Scholar databases to provide updated studies and expert authors to explore GenAI in the tourism industry. Analysing hyper-segmentation and hyper-personalization modalities through GenAI and their new challenges for tourists, tourism cities and companies.

Findings reveal that GenAI technology exponentially improves consumers’ segmentation and personalization of products and services, allowing tourism cities and organizations to create tailored content in real-time. That is why the concept of hyper-segmentation is substantially focused on the customer (understood as a segment of one) and his or her preferences, needs, personal motivations and purchase antecedents, and it encourages companies to design tailored products and services with a high level of individual scalability and performance called hyper-personalization, never before seen in the tourism industry. Indeed, contextualizing the experience through GenAI is an important way to enhance personalization.

This paper also contributes to enhancing and bootstrapping the literature on GenAI in the tourism industry because it is a new field of study, and its functional operability is in an incubation stage. Moreover, this viewpoint can facilitate researchers and companies to successfully integrate GenAI into different tourism and travel activities without expecting utopian results. Recently, there have been no studies that tackle hyper-segmentation and hyper-personalization methodologies through GenAI in the tourism industry.

The United Arab Emirates (UAE) offers a level playing field to all ethnic entrepreneurs (EE’s) operating from within it. The purpose of this qualitative research case study is to explore the reasons underpinning the relatively greater success that Indian-origin EE’s in the UAE have been enjoying for sustained periods – and across diverse industries – relative to their counterparts belonging to several other nations.

Qualitative research case study that draws from data gathered through 30 interviews of participants identified through expert sampling.

Whereas the UAE treats all its ethnic entrepreneurs (EE’s) alike and provides them with a level platform to operate from, the EE’s from India have consistently been outperforming those from all other nations, particularly within the context of the UAE’s large businesses spanning diverse industries. Three features seem to explain their success: their high tolerance for ambiguity; thriftiness; and intercultural competence.

Two key limitations were faced: firstly, the negligible research literature on ethnic entrepreneurship in the UAE, and related official statistics such as details (by ethnicity/nationality) of EE-owned businesses, and secondly, the industry-wise break down of such businesses and their performance, as available in other developed nations hosting EE’s. Resultantly, alternate sources of data have been used to complete this research.

Given the UAE’s national-level institutionalised efforts to promote entrepreneurship amongst its citizens and wider populace, there are many implications that this study holds for existing and future entrepreneurs.

While on the one hand, the UAE and the wider Gulf Cooperation Council region have been witnessing frenetic ethnic entrepreneurial activity in the past decade, the research literature on the regions’ ethnic entrepreneurship is extremely patchy. This case study serves to significantly bridge this gap, and to the best of the authors’ knowledge, this is the first work, that extensively explores the entrepreneurial trajectory of Indian EE’s in the UAE, and the factors driving their success.

The purpose of this paper is to create a model that connects drivers between organizational innovation and business model innovation (BMI) to guide empirical research and the design of innovation management strategies.

The model was designed based on the results of a systematic literature review over the past 25 years that provides common predictor variables to build bridges between these two types of innovations.

It is a conceptual relationship between organizational innovation and BMI based on processes, new structures and customer relationship management. Moreover, there are five bridges from common predictors: strategy, top management, exploratory learning, technological innovation and environmental complexity.

The relationships between organizational innovation and BMI have been neglected in the literature. The model fills this gap by proposing hypotheses for empirical research and critical variables and relationships to steer organizational and business model innovation.

The purpose of this paper is to explore the marketing opportunities for after-school educational services in the Chinese context by examining children’s perceptions of intelligence using visual methodology.

Altogether 30 Chinese children aged 9–12 studying in grades four to six were asked to draw what comes to mind for two statements: “This is an intelligent child” and “This is a child of average intelligence.” After doing the drawings, the children were interviewed face-to-face to answer questions about the personalities and social relationships of the children depicted in the two drawings that they had produced.

A child described as intelligent was imagined wearing glasses, studying hard and obtaining excellent academic results. A child described as of average intelligence was imagined as having many friends, playing a lot and experiencing tension with parents over studies. Participants had a restrictive view of intelligence and associated intelligence with academic success. They endorsed both a growth mindset and a fixed mindset of intelligence. On the one hand, they endorsed a growth mindset of intelligence as they associated intelligence with personal efforts and practices. On the other hand, participants endorsed a fixed mindset of intelligence as they tended to avoid challenges and appeared to be threatened by the success of others. Participants imagined that an intelligent child would experience poor relationships with friends.

The findings were based on a nonprobability small sample. The study did not investigate the socialization process of such perceptions.

Educational services and nonschool activity service providers can position themselves as agents to help students develop meta-analytical skills in embracing challenging tasks. Marketers can develop courses and learning materials that teach children different learning strategies. They can use incentives to encourage persistence and resilience in meeting challenges. This study uncovered the emotional and social needs of intelligent children. A new market segment was identified that targets children with high intelligence. Educational service providers can design curricula and activities to support high-performing children in developing empathy and good communication skills. Educators can assist those who perform well academically to nurture genuine friendships and improve social relations with peers.

The prevalence of the private tutoring industry in the Chinese context may introduce educational disparity, as families with low resources will not be able to afford these services. Nonprofit organizations can provide similar educational services at a low cost to bridge the gap. The narrow view of intelligence expressed by participants, and their lack of awareness of the wide range of types of intelligence, indicates that education service providers can develop the confidence of a child with average intelligence through appreciation of his or her unique talents beyond academic achievements.

This study explores attributes associated with intelligence among Chinese children using an innovative visual method. The marketing implications can apply to other societies where the after-school tuition market is prevalent.

Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial competencies (ECs) can predict entrepreneurial action (EA) for distinct profiles, such as male versus female, start-up versus established and for entrepreneurs within different age groups and educational levels.

The research was conducted using a survey method on a large sample of 1,150 South African entrepreneurs. Chi-squared automatic interaction detection (CHAID) algorithms were used to build decision trees to illustrate distinct entrepreneurial profiles.

Each profile has a different set of ECs that predict EA, with a growth mindset being the most significant predictor of action. Therefore, this study confirms that a “one-size-fits-all” approach cannot be applied when profiling entrepreneurs.

From a pedagogical standpoint, different combinations of these ECs for each profile provide priority information for identification of appropriate candidates (e.g. the highest potential for success) and training initiatives, effective pedagogies and programme design (e.g. which individual ECs should be trained and how should they be trained).

Previous work has mostly focused on demographic variables and included a single sample to profile entrepreneurs. This study maintains much wider applicability in terms of examining profiles in a systematic way. The large sample size supports quantitative analysis of the comparisons between different entrepreneurial profiles using unconventional analyses. Furthermore, as far as can be determined, this represents the first CHAID conducted in a developing country context, especially South Africa, focusing on individual ECs predicting EA.

Based on the principles of the social capital theory (SCT), this study aimed to generate hypotheses and evaluate a mediated moderated model that examined the impact of social capital on online brand community happiness (OBCH).

Using 215 online questionnaires from users of private online brand communities (OBCs) , researchers examined the hypothesized connections between variables. The SPSS 21.0 and AMOS 26.0 were applied to fulfill the purpose.

For the goodness of model fit, the authors have applied cut off criteria for fit indexes given by Hu and Bentler (1999) and model-fit measures indicators, i.e. CMIN/DF 1.397, CFI 0.958, SRMR 0.045, RMSEA 0.043 and PCLOSE 0.866, which meet the minimum acceptable criteria. Based on the results, social capital significantly affects psychological well-being (PWB), which, consequently, leads toward increased happiness among OBCs. Furthermore, membership duration moderates the relationship between PWB and OBCs.

The authors have utilized a cross-sectional research design, and it limits the researcher’s ability to generalize the findings. These findings imply how social capital leverages PWB and OBCH. Moreover, the presence of membership duration helps to understand that members who spend more time in the community are happier in the OBCs.

In this age of social media, it provides valuable guidance to the administrators of private Facebook groups dedicated to specific brands, enhancing the definition and development of OBC operations and community interactions.

This research takes a broader look at social capital’s impact on happiness among private OBCs. The current research contributes to the existing body of work by emphasizing the role of PWB in generating happiness. The study is novel in examining the mediating moderating model of PWB and membership duration to explore deep insights for social media platforms.