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We investigated the relationship between personality and managerial assessment center (AC) dimensions, emphasizing age’s moderating role within volatility, uncertainty, complexity, ambiguity (VUCA) simulations.

We analyzed 327 managers and applied the AC method, examining areas like social skills, problem-solving, management and goal striving, openness to change, employee development using the VUCA framework.

We assessed personality metatraits through a questionnaire based on the circumplex model (CPM; Strus, Cieciuch, & Rowinski, 2014), identifying four bipolar metatraits. Results highlighted passiveness and disharmony as negatively correlated with all managerial AC dimensions, with passiveness adversely affecting social skills and problem-solving.

Age’s moderating role emerged as pivotal in the relationship between personality and managerial AC dimensions, especially in specific VUCA contexts. This underscores age’s influence on the interplay between personality and managerial efficacy, suggesting varying predictive capabilities across age groups. The research illuminates the complexities of these relationships, spotlighting age’s nuanced impact.

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.

Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices.

A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework.

The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products.

The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma.

The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0.

This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.

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.

Digital start-ups have limited resources. With the demands of rapid growth, digital start-ups need to rely on their ability to explore external knowledge and exploit it into swift innovation. Developing absorptive capacity is an alternative to overcome this difficulty. This study aims to demonstrate how the potential and realized an increase in absorptive capacity enables organizations to innovate moderated by structural ambidexterity. Empirical evidence places more emphasis on the impact of absorptive capacity on innovation but still leaves the “black-box” question of innovation and how potential absorptive capacity (PACAP) can achieve realized absorptive capacity (RACAP).

This study tests, with a structural equation model, samples collected from 143 digital start-ups in Indonesia.

The finding of this study suggests that PACAP influences the ability to innovate only if RACAP mediates it and structural ambidexterity positively moderates the relationship between these two variables.

First, this study uses digital start-up organizations as respondents. Second, this study explores the role of the structural ambidexterity that moderates the relationship between PACAP and RACAP manifested in digital start-ups organizations that are identical to temporary companies with limited resources. Third, digital start-ups have a fast-growth life cycle, unlike regular companies. Finally, the validated scale is based on data collected entirely from digital start-ups located in Indonesia, which may limit the generalizability of the findings to other industry contexts.

Start-ups suffer from the ability to innovate that increases their propensity to fail. They overcome this failure by increasing the absorptive capacity of the founding team to improve their ability to innovate. Because of limited resources available at digital start-ups, the flexibility of their management style can overcome these barriers, allowing the pursuit of both knowledge exploration and exploitation in a balanced way.

Most of the studies explained that the ability to innovate comes from absorptive capacity. In fact, they do not explore PACAP and RACAP and their relationships. Moreover, the studies also indicated that the contextual ambidexterity moderated PACAP and RACAP. Meanwhile, digital start-ups in this study revealed that structural ambidexterity with two dimensions, i.e. shared value, and behavioral integration, enables and positively moderates the relationship between PACAP and RACAP.

The city of Quito is a World Heritage Site (WHS) in Ecuador and the city owns one of the best-preserved and extensive historic centers in Latin America for cultural tourism. This study aims to identify the factors that constitute perceived value construct at the WHS of Quito.

This research collects data from tourists who have visited the city of Quito, Ecuador. A total of 381 on-site questionnaires are used. Data have been analyzed using exploratory factorial analysis.

Results regarding the dimensional structural framework of perceived value indicate that perceived value at the WHS of Quito has five factors: (1) monetary and non-monetary costs (MNC), (2) staff service quality (SSQ), (3) tourist offer accessibility (TOA), (4) destination attractiveness (DA) and (5) information accessibility (IA).

Two new factors of accessibility have been proposed in this study for measuring consumer value at a WHS. Perceived value and accessibility have been treated as two separate subjects in academic literature before. However, this article contributes to the understanding of perceived value at WHS, including factors linked to accessibility. Both managerial and theoretical implications for WHS are discussed.

Public higher education institutions (HEIs) infrastructure funding is challenging in many developing countries. Encouraging private investment in HEIs infrastructure via a developed expanded corporate social responsibility (ECSR) may improve physical facilities. ECSR is a form of infrastructure tax relief providing physical facilities for HEIs. Academic literature is scarce concerning how ECSR can improve Nigeria’s public HEIs infrastructure and achieve education infrastructure related to Sustainable Development Goal 4 (SDG 4). Therefore, this study aims to proffer measures to improve public HEIs infrastructure and achieve sustainable development connected to Goal 4 focussing on infrastructure via a developed framework.

This is an expansion of an ongoing study, and data were collated via virtual interviews across the six geo-political zones in Nigeria. The analysed data were presented in a thematic pattern.

A total of 18 measures (sub-variables) emerged and were re-grouped into six variables. This includes institutionalising ECSR, HEIs infrastructure via ECSR awareness, HEIs infrastructure incentives, national and state action plans on HEIs infrastructure, a legal framework for HEIs infrastructure and key stakeholders’ participation. Also, the study used the generated six main variables to develop the improved public HEIs infrastructure via ECSR in developing countries, using Nigeria as a case study. This can enhance achieving infrastructure associated with SDG 4 (quality education) and targets.

This study intends to develop the philosophy (ECSR) with an implementable framework to encourage the private sector further to expand their CSR in the infrastructure development to the educational sector, especially in developing countries higher institutions, using Nigeria as a case study.

Job satisfaction is essential in understanding turnover intentions. Previous studies reveal that highly educated hospitality employees generally have lower levels of job satisfaction, indicating that the antecedents of job satisfaction may be different from hospitality managers and frontline employees. This study compared the different antecedents of job satisfaction for housekeeping managers and employees.

This study used a mixed-methods approach for a two-part study. The researchers recruited housekeeping managers for the exploratory survey. The results of open-end questions helped us build a custom dictionary for the text mining of comments from Glassdoor.com. Finally, a multilinear regression of themes from housekeeping employees’ ratings on Glassdoor.com was conducted to understand the antecedents of job satisfaction for housekeeping managers and employees.

The results of the exploratory survey indicated that the housekeeping department has an urgent need for organizational support and training. The text-mining revealed organizational support impacts both managers and frontline employees, while training impacts managers more than employees. Finally, the regression analysis showed compensation, business outlook, senior management, and career opportunity impacted both groups. However, work-life balance only influenced managers.

With a large number of employees at low salaries, housekeeping departments have a higher-than-average turnover rate for lodging. This study is among the first to compare the antecedents of managers’ and frontline employees’ job satisfaction in the housekeeping department, extending Social Exchange Theory. It provides suggestions for the housekeeping department to decrease turnover intentions.

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.

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.