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This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.

A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.

The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.

This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

The purpose of this paper is to investigate the process of family equity creation and its role for transgenerational entrepreneurship.

This paper combines a systematic literature review on family equity with conceptual theory building, resulting in a model of family equity creation.

The proposed model contains three phases of equity creation that ulitmately leads to transgenerational entrepreneurship: harvesting, institutionalization (via a single family office) and reinvestment.

This paper conceptually introduces the family equity creation model, which may serve as integrative framework for future research on transgenerational value creation by entrepreneurial families. The presented findings are of relevance for family entrepreneurship scholars, entrepreneurial families, as well as for practitioners.

The purpose of this study is to investigate the thermoforming process of 3D-printed parts made from polylactic acid (PLA) and explore its application in producing wrist-hand orthoses. These orthoses were 3D printed flat, heated and molded to fit the patient’s hand. The advantages of such an approach include reduced production time and cost.

The study used both experimental and numerical methods to analyze the thermoforming process of PLA parts. Thermal and mechanical characteristics were determined at different temperatures and infill densities. An equivalent material model that considers infill within a print is proposed. Its practical use was proven using a coupled finite-element analysis model. The simulation strategy enabled a comparative analysis of the thermoforming behavior of orthoses with two designs by considering the combined impact of natural convection cooling and imposed structural loads.

The experimental results indicated that at 27°C and 35°C, the tensile specimens exhibited brittle failure irrespective of the infill density, whereas ductile behavior was observed at 45°C, 50°C and 55°C. The thermal conductivity of the material was found to be linearly related to the temperature of the specimen. Orthoses with circular open pockets required more time to complete the thermoforming process than those with hexagonal pockets. Hexagonal cutouts have a lower peak stress owing to the reduced reaction forces, resulting in a smoother thermoforming process.

This study contributes to the existing literature by specifically focusing on the thermoforming process of 3D-printed parts made from PLA. Experimental tests were conducted to gather thermal and mechanical data on specimens with two infill densities, and a finite-element model was developed to address the thermoforming process. These findings were applied to a comparative analysis of 3D-printed thermoformed wrist-hand orthoses that included open pockets with different designs, demonstrating the practical implications of this study’s outcomes.

This paper investigates the usage and trust of Chinese social media in the travel planning process (pre-trip, during-trip and post-trip) of Chinese tourists.

Through a combination of structured online survey (n = 406) and follow-up interviews, the research identifies the diversification of the demand-and-supply patterns of social media users in China, as well as the allocation of functions of social media as tools before, during and after travel.

Social media users are diverse in terms of their adoption of social media, use behaviour and scope; the levels of trust and influence; and their ultimate travel decisions and actions. Correlations between the level of trust, influence of social media and the intended changes in travel decisions are observed. Destination marketers and tourism industries should observe and adapt to the needs of social media users and potential tourist markets by understanding more about user segmentation between platforms or apps and conducting marketing campaigns on social media platforms to attract a higher number of visitors.

This paper demonstrated the case of social media usage in mainland China, which has been regarded as one of the fastest growing and influential tourist-generating markets and social media expansions in the world. This study further addressed the knowledge gap by correlating social media usage and travel planning process of Chinese tourists. The research findings suggested diversification of the demand-and-supply pattern of social media users in China, as well as the use of social media as tools before, during and after travel. Users were diversified in terms of their adoption of social media, use behaviour, scope, the levels of trust, influence and the ultimate travel decisions.

Destination marketing organizations should note that some overseas social media platforms that are not accessible in China like TripAdvisor, Yelp, Facebook and Instagram are still valued by some Chinese tourists, especially during-trip period in journeys to Western countries. Some tactics for specific user segments should be carefully observed. When promoting specific tourism products to Chinese tourists, it is necessary to understand the user segmentation between platforms or apps.

Social media is a powerful tool for tourism development and sustainability in creating smart tourists and destinations worldwide. In China, the use of social media has stimulated the development of both information and communication technology and tourism.

Recently new forms of telework emerged, such as the hybrid model; however, little is known about how and when it promotes performance. Based on the job demands-resources (JD-R) model, the authors developed a conceptual framework to demonstrate that the hybrid model of telework positively influences performance via positive affect. Furthermore, the authors identified both personal (emotional intelligence [EI]) and job resources (autonomy) as moderators of this relationship.

To test the proposed model, the authors collected data from teleworkers who were in a hybrid telework regime from the telecommunications industry (N = 290).

The results showed that (1) telework positively influenced positive affect and, in turn, performance and (2) the indirect effect of telework on performance through positive affect was moderated by both EI and autonomy.

These results appear to be fundamental for a better conceptual and practical understanding of how and when hybrid telework can improve performance.

Online food delivery applications (OFDAs) provide an expedient platform, and consumers’ access to food has been drastically altered, especially during and after the COVID-19 pandemic. This study aimed to completely explore the attributes that influence consumers' purchase intention and how an app's aesthetics can evoke feelings that predict continuous usage intentions for OFDAs. The food industry, especially restaurants, heavily relies on mobile technology to facilitate critical online food delivery during the pandemic crisis.

The data for this study are gathered from 477 food consumers located in the federal capital territory (FCT) of Islamabad, Pakistan, through convenient sampling by developing a self-administrated online survey. SmartPLS is used for structural equation modeling to test the proposed research model and perform bootstrapping and algorithmic analysis.

Our findings revealed that perceived value positively predicted consumers’ purchase intentions. Moreover, perceived value mediates the association of information quality, familiarity, time-saving, usability and reputation with purchase intentions and fear of COVID-19 moderates the relationship between perceived value and purchase intention.

This research work has significant implications for researchers, web developers, app designers, delivery services, restaurants and other enterprises as it demonstrates the importance of aesthetically pleasing OFDAs in eliciting positive emotions and bolstering consumers’ intentions to continue using the app for efficient food delivery services.

This study expanded the application of the technology acceptance model (TAM) and attention, interest, desire and action (AIDA) by examining consumers’ purchase intentions in the context of OFDAs. Further, the successful utilization of TAM enhanced the understanding of consumer perceptions and behavioral intentions about the usage of OFDAs.

Management innovation is one of the most vital practices underpinning economic growth and is considered to be one of the fundamental components of gaining a superior business position in market conditions that are continually fluctuating. Drawing upon neo-institutional theory as well as absorptive capacity, the current empirical study unpacks the relationships between external institutional forces (i.e. regulative, mimetic and normative pressures) and management innovation through investigating the role of absorptive capacity as a mediator.

The research model is tested using survey data from Australian organisations. The study used Partial Least Squares (PLS), a component-based structural equation modelling (SEM) method, in order to perform the data analysis.

The results confirm that the various dimensions of institutional forces have diverse influences on management innovation. The authors found mimetic and normative pressures have positive influences on realised and potential absorptive capacity of an organisation. In addition, realised absorptive capacity mediates the relations between institutional forces and management innovation.

Dissimilar to preceding studies, this research shows that organisations not only innovate to pursue higher performance but sometimes strive for legitimacy. In addition, the significant associations between absorptive capacity and management innovation and the mediation role clearly signify that institutional forces and absorptive capacity play significant roles in the adoption of management innovation.

Culture plays a significant role in shaping the decision of the youths to start the new venture, and Vietnam being one of the collectivist societies in Asia, it is critical to know whether culture plays any role in the formation of entrepreneurial intentions (EI) of the Vietnamese youth. However, there are limited studies in Vietnam that investigate the effect of culture on the EI of students. Hence, this study aims to integrate the direct influence of culture and personality factors in view of mediating role theory of planned behaviour components to measure the EI of students.

The data for this study were collected from 393 undergraduate/post-graduate university students using an online survey. The data were analysed using structural equation modelling to test the designed hypotheses of the study.

The study results showed that attitude (PA) towards entrepreneurship and perceived behavioural control (PBC) mediated the relationship between risk-propensity (RP) and EI, subjective norms (SN) and EI and also had a direct influence on EI. Risk-propensity was found to have a direct influence on students’ entrepreneurship intentions. Further, there was no direct influence of culture and SN on EI of students, but culture had a direct influence on SN, while SN indirectly influenced EI mediated by PA and PBC.

Only a few studies have been conducted to determine the role of culture affecting entrepreneurial intentions of the students in Vietnam, where strong emphasis is put on society and culture. The study demonstrates that culture plays a significant role indirectly, as the societal culture influences the close networks and family’s approval (SN) towards encouraging the youths to become entrepreneur and further this encouragement enhances the attitude and self-belief (PA and PBC) of an individual in their capabilities which affects their intentions (EI) to become an entrepreneur. Hence, this study adds this new important dimension of culture in existing academic literature in Vietnam’s context.

Drawing on the dynamic capability view (DCV), the current study aims to examine the mediating effects of entrepreneurial orientation (EO), in terms of innovativeness, proactiveness and risk taking, on the relationships between big data analytics (BDA) capability and sustainable supply chain performance (SSCP).

Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling (SEM) was used to test the hypotheses.

The findings showed that innovativeness and proactiveness fully mediated the link between BDA capability and SSCP. However, risk taking only partially mediated the relationship between BDA capability and SSCP. There was also a negative relationship between BDA and risk taking.

Given that the current study focused on the manufacturing sector, future research is needed to compare different sectors and cultural contexts. Further exploration is also needed into the dimension of risk taking in terms of the role of risk taking in linking BDA capability with SSCP in different cultural settings.

Technology may not increase the risk taking capability. Organizations may be creative and proactive but may remain risk averse despite having access to big data. Organizations need a more balanced approach to dynamically integrate and reconfigure the organizations' BDA and EO capabilities in order to enhance SSCP.

The role of EO in mediating the relationship between BDA capability and SSCP has not been studied before. The current study aimed to address the gap and contribute to the existing debate on better understanding the factors that are needed by organizations to effectively employ technology to enhance SSCP. Untapped areas for future research are also identified.