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This paper aims to examine how high involvement HRM (HIHRM), technology adaptation and innovativeness influence employees to respond to technology innovation performance – that is, radical innovation performance and incremental innovation performance – in distinct ways.

The purposive judgmental sample technique is used to assess the perceptions of 545 IT employees in Bangladesh's ready-made garment (RMG) industry. The partial least square-structural equation modeling (SEM-PLS) method is applied to analyze and interpret the data.

Findings of the analysis show that HIHRM, technology adaptation and innovativeness influence employees to exhibit technology innovation performance. Furthermore, both technology adaptation and innovativeness show the significant mediating effects between HIHRM and technology innovation performance.

First, this study’s findings contribute to HIHRM and technology innovation performance within the context of the resource-based theory. Second, the RMG organizations would acknowledge the role of HIHRM on employee technology adaptability and innovation capability in this regard. A future study might point to the models' ability to create the best work environments, which can help organizations to boost employee productivity through adaptation and innovation.

The study would offer a distinctive perspective on higher-order HIHRM and how they affect IT employees in RMG organizations in Bangladesh that could be approached in other labor-intensive and developing nations. This study also expands the research on technology adaptation and innovativeness by exploring the mediating roles between HIHRM and employee technology innovation performance in the organization.

In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

Fashion products such as clothes, accessories, bags and footwear created using 3D printed technology are referred to as 3D printed fashion (3DPF) products. This study investigates consumers' motivation to purchase 3DPF products. In particular, this study adopts a multi-dimensional approach to explore the effects of personality-related traits such as innate, domain-specific and actualized innovativeness, as well as examine the effects of perceptions toward 3D printing technology (3DPT) (i.e. perceived security risk, performance expectancy). Based on the concepts of consumer innovativeness and the Unified Theory of Acceptance and Use of Technology (UTAUT), the authors expect the effects of consumers' innovativeness and perception of 3DPT and confirm its significant effects on a positive attitude toward 3DPF products and future purchase intention of 3DPF products.

A quantitative research design (i.e. survey) is utilized to examine the suggested relationships and application of existing theory in this study. All measurement items are adapted from previous literature and use a Likert-scale. The authors examined a total of 326 responses using a series of statistical analyses, including descriptive statistics, structural equation modeling and conditional process modeling.

The results of this study confirmed that innate and domain-specific innovativeness are critical antecedents of creating a positive attitude toward using 3DPF products through perceptions toward 3DPT. In addition, 3DPF innovativeness, as actualized innovativeness, was validated to strengthen the relationship between personal innovativeness and attitude, providing evidence that innovation-related traits can predict behaviors. Interestingly, technological innovativeness was not found to be a predictor of perceived security risk. It may be due that 3DPF products are still novel to consumers.

The study participants were people who were interested in technology, not consumers who had prior experience with using 3DPF products. Future studies are encouraged to include consumers who have actually purchased or used 3DPF products.

The findings of this study indicate that consumers' use of new technology is determined by personality and interest in specific product categories. Practitioners may use this information to segment/target consumer groups to introduce a new/unfamiliar product.

The findings of this study contribute to the existing literature on consumer adoption of innovation by combining two approaches, the hierarchy of consumer innovativeness and the UTAUT, in the context of advanced technology adoption behavior.

The purpose of this study is to explore the role individual innovativeness along with e-learning self-efficacy play in predicting the e-learning readiness of first- and second-year students of an open and distance education institutions in an African context.

Therefore, building on previous related research in this area, a quantitative approach was adopted to address the research questions and to establish whether a statistically significant relationship existed between individual innovativeness, e-learning self-efficacy, the independent variables; and e-learning readiness, the dependent variable. In total, 476 first- and second-years students of the university participated in the four-Likert-type scale survey. The research instrument which comprises 74 survey items was completed by 217 of the students. Statistical tools used for analysing data included both Pearson Product Moment Correlation coefficients and t-tests.

It was discovered that a strong positive and significant relationship was observed between individual innovativeness and e-learning readiness of first- and second-year students of the Yenagoa Study Centre of the National Open University of Nigeria (NOUN); a statistically significant relationship was also found between e-learning self-efficacy scores and the e-learning readiness of the first- and second-year students of the Yenagoa Study Centre of NOUN; there was a statistically significant joint relationship between the three variables under investigation; findings equally revealed that male respondents had higher e-learning readiness than their female counterparts.

Like every other study of this nature, this one also suffers some limitations. First, NOUN is a very large university with over half a million students spread across almost 78 study centres. This means that observation from just one study centre amounts to a very small sample size. This according to Schweighofer, Weitlaner, Ebner and Rothe (2019) jeopardises the generalisability and validity of study results. The authors also maintain that empirical data generated from surveys that usually rely participants' abilities to read and select responses without further interpretation by the researchers suffer from cognitive biases like social desirability. To address the above limitations, detailed studies involving all studies centres of NOUN be undertaken and other qualitative and or mixed research methodologies be adopted in the future.

The implications for this study are that people who are innately innovative will willingly accept technology and by extension, learning in technology-rich environments like those found in like NOUN whose mode of study is blended learning inherently found in open and distance learning (ODL) institution. Therefore, this study is significant as it will provide relevant information to the management and administrators of NOUN, policymakers and regulatory institutions for the development, deployment and implementation of e-learning strategies. Findings will also benefit e-learning initiatives undertaken by similar institutions that adopt the ODL mode of education in Nigeria and other developing countries.

Even though, studies on the antecedents of e-learning readiness have been widely conducted across diverse contexts, studies exploring the associations between individual innovativeness, e-learning self-efficacy and e-learning readiness are relatively hard to come by. The above two variables as predicting the e-learning readiness in the study context are comparatively new. This study thus focuses on the relationships between the individual innovativeness levels, e-learning self-efficacy beliefs of students and their e-learning readiness which ultimately determines their ability to sustain studies in an ODL institution.

This paper aims to investigate the underlying mechanisms that come into play in the relationship between technology orientation (TO) and performance in technology firms. In doing so, this paper explores how different levels of TO affect firm innovativeness, how different levels of firm innovativeness affect performance and the moderating role of risk-taking propensity in the relationship between innovativeness and performance.

Data were collected from 112 information technology firms. Control variables include firm size and age and industry effects. The model was tested using PLS-based SEM.

Results show that in technology firms, innovativeness plays a mediating role in the relationship between TO and firm performance, the relationship between TO and firm innovativeness is curvilinear, the relationship between innovativeness and performance is curvilinear and risk-taking propensity moderates the curvilinear relationship between innovativeness and performance.

The shape of the relationships in the mediating paths between TO, innovativeness and performance, is curvilinear (inverted U-shaped). Managers in technology firms focused on bolstering the TO and/or innovativeness should be cognizant of the fact that beyond a certain level, they might actually be doing more harm than good. Additionally, managers seeking to reinforce the relationship between innovativeness and performance need to be sensitive to the role that risk-taking propensity plays in this relationship.

This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.

The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.

The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.

The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.

Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.

The purpose of this paper is to explore the relationship between product innovativeness and the process of technology switching. This issue is important for two reasons: (1) in mature markets, the only way to increase market share is through consumers' switching from competitor firms and (2) it is essential to determine whether the product innovation strategy can meet users' needs in high-technology markets.

Research centers (university hospitals) specializing in magnetic resonance imaging (MRI) are the lead users of the MRI market. In this market, the technology switching process was tracked using an annual conference database. Interviews with industry experts and lead users were conducted in order to determine the relationship between product innovativeness and technology switching.

The findings reveal that in the lead users' segment, technology switching is occurring at a significant level. The interviews emphasized the influence of product innovativeness on technology switching in the global MRI market, as well as the importance of adopting an open innovation process as a strategy to enhance product innovativeness.

The results can be generalized to industries with similar characteristics, such as high rates of technological change and technology heterogeneity. In high-technology markets, managers should monitor switching behavior. They should also study the influence of product innovativeness on such behavior in order to determine the correct product innovation strategy and meet users' preferences effectively.

The literature reports considerable research that investigates switching behavior, but most publications use data from a short time period and cover a limited geographical region. This is the first study that uses data to track the switching behavior of high-technology products on a global scale over a 22-year period.

This study aims to investigate the impacts of Generation Z (Gen Z) domestic food tourists’ perceived restaurant innovativeness on destination cognitive food image and examine the impacts of destination cognitive food image on destination brand image and tourists’ revisit intention.

Data were collected through an online survey, and 337 Gen Z domestic food tourists in Guangzhou participated. Partial least squares structural equation modeling was used for the data analysis.

This study found that tourists’ perceptions of restaurant menu, technology-based service and experiential innovativeness played essential roles in enhancing destination cognitive food image. In addition, the destination cognitive food image strengthened the destination brand image and increased tourists’ revisit intentions for the future.

The destination cognitive food image perceived by Gen Z domestic food tourists is affected by the restaurant menu, technology-based service and experiential innovativeness. To build a solid destination food image, restaurant operators and decision-makers should prioritize the allocation of resources to develop their innovation capacity. This study also suggests a path of food tourism destination branding from stakeholders’ perspectives and encourages collaboration with stakeholders. Enhanced food tourism destination competitiveness toward the young tourists’ market will generate an overall win for stakeholders

Food providers’ innovativeness, an important factor attracting young tourists’ attention, has been neglected in the discussion of the food tourism experience. This study fills the research gap, investigates the importance of restaurant innovativeness in building food tourism destination competitiveness and provides valuable suggestions to destination restaurant operators and decision-makers.

This study aims to explain how hotel guests form attitudes toward facial recognition technology in Singapore by integrating technology acceptance model (TAM), privacy calculus theory and personal innovativeness.

A self-administered online questionnaire was developed with measurements adopted from past research. Guests who stayed in four- or five-star hotels in Singapore were recruited via systematic random sampling. Structural equation modeling was conducted to examine the proposed integrated models.

Results showed that hotel guests performed calculative cognitive processes, weighing the benefits and risks of using facial recognition check-in system. Contradictory to the past research which suggested that trust activates both perceived risk and benefits, this study demonstrated that trust independently directed consumer attention on the benefits gained while risk perception was triggered by privacy concern. Furthermore, the current study revealed that the ease of use of facial recognition check-in system could possibly backfire.

The research indicates that the effort to adopt new technology in the hotel industry is promising in view of the growing millennials and Generation Z population who are digital natives. Furthermore, the current study highlights ways to elevate institutional trust and divert consumers’ attention from risk perception to enhance their positive attitude and behavior toward accepting facial recognition check-in system.

This study integrated TAM with privacy calculus theory and personal innovativeness in examining the acceptance of facial recognition check-in system in the hotel industry in Singapore. This study is also the first, to the best of the authors’ knowledge, to investigate the relationships among privacy concern, perceived risk, institutional trust and perceived benefits, as well as their effects on consumers’ attitudes and behavior toward the biometric system.

This study aims to explore students' perceptions of a virtual reality simulation that enable nursing students to learn how to use a medical emergency crash cart.

The study was designed to explore how students' perceptions of ease of use and perceived usefulness from the technology acceptance model and the students' personal innovativeness in the domain of information technology explained their intentions to use the simulation. Six hypotheses were tested with a survey administered to 158 undergraduate nursing students at a midsized Southwestern university in the USA.

Data analysis based upon a structural equation modeling technique found support for all three research hypotheses based upon the technology acceptance model. Data analysis also found support for all three hypotheses drawn from the literature on personal innovativeness in the domain of information technology. Overall, the study's research model explained about 65 percent of the variance in intention to use the virtual reality simulation (R²=0.65).

This study suggests that future research should take into account the impact of an individual characteristic, personal innovativeness in the domain of information technology, in order to better predict users' intention to adopt an information technology innovation.

This study extends the knowledge of technology acceptance of a virtual reality simulation by incorporating the concept of personal innovativeness in the domain of information technology into the technology acceptance model.