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The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

This study clarifies the operational performance of fashion companies during the coronavirus pandemic. Meanwhile, improvement strategies have been provided in the post-pandemic era.

The static and dynamic perspectives were combined to comprehensively analyze the operational performance of fashion companies before, during and after the COVID-19 outbreak. A comparative analysis among five representative countries was conducted to achieve global conclusions. Additionally, data envelopment analysis (DEA) theory and various DEA models were employed for the analysis.

The fashion industry has not achieved overall effectiveness. American companies have the best operational performance, followed by European and Chinese companies. In contrast, the impact of the pandemic on American companies was severe, whereas Chinese and European companies showed operational resilience. In addition, the pandemic had a devastating influence on the global fashion industry. This resulted in a decline in total factor productivity, and the main reason was technological regress. Furthermore, labor redundancy is a critical issue for the fashion industry in the post-pandemic era, even if it shows a decrease because of the pandemic.

The existing theory on the fashion industry during the pandemic was improved by expanding the time and geographical dimensions and integrating the advantages of various DEA models. Scientific improvement strategies were presented in the post-pandemic era with application value.

This paper aims to explore the influence of e-reputation, destination image and social media marketing efforts (SMME) on the intention to visit among tourists. The relationships are examined through the lens of the stimuli-organism-response (S-O-R) theory.

The responses were recorded from 209 domestic and international tourists who stayed in five-star hotels at Khajuraho, a UNESCO world heritage site in India. PLS-SEM was used to test the proposed hypotheses.

The findings revealed a significant positive relationship between SMME, e-reputation and destination image. The results also indicated that destination image fully mediated the relationship between e-reputation, destination image, SMME and visit intention.

The research would enables tourism organizations to develop strategies and reap benefit from the information posted and shared by tourists on various social media platforms and gain a competitive edge over competitors.

Testing the relationship between e-reputation and destination image as a mediator between SMME and intention to visit is a relatively novel idea. Previously, no attempt had been made to measure the influence of e-reputation related to destination image and intention to visit as supported by the S-O-R theory. This study provides empirical information on destination image and e-reputation building and the role of social media. It helps tourism managers create social media marketing strategies.

This paper aims to enrich the scholarly discourse on learning within small social entrepreneurial organisations by examining how leadership can facilitate conditions conducive to collective learning during crises.

A longitudinal single-case study was conducted on a social entrepreneurial organisation in Sweden, operating within the integration field. The study involved comprehensive interviews and observations. Using a longitudinal approach facilitated an in-depth analysis of the organisation’s development over time.

The findings underscore that shifts in leadership can significantly influence collective learning. Specifically, the results suggest that establishing trust between the CEO and team members is a pivotal factor in cultivating conditions for collective learning and fostering the related processes, which persisted even during the pandemic. This trust catalysed inclusive and interactive actions that encouraged team members’ participation in day-to-day decision-making and strategic planning. Consequently, the organisation successfully leveraged its diverse knowledge resources, promoting knowledge sharing and experience exchange, crucial components of successful collective learning.

This paper advocates for a departure from conventional leadership perspectives, proposing that a focus on team–leader relationships – a form of leadership in practice – can offer valuable insights into cultivating collective learning. This approach underscores the significance of collaboration and engagement among team members in promoting collective learning and accentuates the role of leadership in creating these conditions.

The examples provided on structuring, organising and leading virtual meetings could offer valuable insights for leaders. With the increasing adoption of hybrid workplaces combining remote and office environments, communication challenges within teams may arise. Therefore, these examples can aid leaders in formulating effective communication strategies that bridge the gap between remote and in-person team members, ensuring that everyone stays informed and engaged.

This study seized a unique opportunity to explore how leadership can create favourable conditions for collective learning during crises by collecting data both before and during the Covid-19 pandemic.

Using the lens of crisis innovation and strategic alignment, this study explores how a segment of the restaurant sector that may be less agile than others—Michelin-starred restaurants—perceives and aligns with the challenges brought about by the COVID-19-pandemic.

The study collected data from 19 Michelin-starred restaurants in Spain using a qualitative interview method. The data were analyzed qualitatively and organized thematically.

Four key categories of strategic challenges were identified: human resources, uncertainty, control and economic challenges. In response, chefs displayed both behavioral and organizational strategies. Those organizational strategies were new human resource management, reorganization, product and service innovation and marketing. While the new human resource management actions adopted to align with the human resource challenges identified, a misalignment remains between some of the other strategic actions, such as product and service innovation, marketing and economic and uncertainty challenges.

The findings offer new insight into Michelin-starred restaurant chefs' challenges and (mis)alignment strategies, an area that has been understudied in the current literature on innovative responses in the hospitality sector post-pandemic.

This study aims to show the factors that influence the intention of Generation Z Muslims to buy halal food products through ShopeeFood.

This study used quantitative methods. The analytical technique used is partial least square-structural equation modeling with 230 respondents as a sample of Generation Z Muslims in West Java, Indonesia. This research was conducted in June 2022 by distributing questionnaires via Google Forms and social media.

The results showed that perceived ease of use, perceived usefulness, attitudes, subjective norms, perceived behavioral control, religiosity and intention to buy halal food through ShopeeFood in Generation Z Muslims in West Java were in the high category. However, subjective norms and perceived behavioral control are the only ones that positively and significantly affect purchase intention.

ShopeeFood is expected to be able to identify and take advantage of the high level of intention of Generation Z Muslims to buy halal food through ShopeeFood. ShopeeFood can socialize and increase consumer attention that ShopeeFood is different from other online food delivery services. ShopeeFood can require merchants to display transparency in the composition of food products.

To the best of the authors’ knowledge, this study is perhaps the first study in the context of Generation Z Muslims in West Java, Indonesia, that deals with the perceived ease of use, perceived usefulness, attitudes, subjective norms, perceived behavioral control and religiosity on the intention to buy halal food through ShopeeFood. The study’s findings are essential in Islamic marketing and technological acceptance (ShopeeFood Apps).

Digital technologies over time are becoming increasingly pervasive and relatively affordable, finding a large diffusion in Small and Medium Enterprises (SMEs) also for internationalization purposes. However, less is known about the specific mechanisms by which this can be achieved. Specifically, we focus on how SMEs can face the international environment, leveraging digital technologies and thanks to their intellectual capital (IC).

We analyze the relationship between digital technologies and the internationalization of SMEs, exploring the mediating role of IC in its three dimensions: human, relational and innovation capital, and assessing the possible moderating effects posed by international institutional conditions, specifically the Sino-US trade frictions. The relationships are tested using a sample of companies listed on China’s A-share Growth Enterprise Market (GEM) from 2010 to 2021.

Digital technologies help to internationalize SMEs. However, this positive relationship is affected (mediated) by the presence of an already consolidated IC. In addition, the institutional conditions of the international market, such as the Sino-US trade friction, moderate the components of IC differently. Specifically, the overall mediating effect of human and relational capital is boosted, while this does not happen for innovation capital.

First, this study contributes to the literature on organizational resilience, especially digital resilience, confirming its validity in the context of internationalization and, in particular, those processes adopted by SMEs. Second, we clarify the mechanisms through which digital technologies exert their impact on the process of internationalization and in particular the prominent necessity of having IC. Third, our conclusions enrich the understanding of how IC components react to turbulence in international markets.

Based on the dynamic capabilities view, the current study aims to empirically investigate the effects of organizational learning culture (OLC), strategic reconfiguration (SREC) and digital transformation (DT), altogether, on Egyptian private hospitals' strategic renewal in the face of the COVID-19 pandemic.

This study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisted of 264 Egyptian private hospitals. The smart partial least square structural equation modeling technique (PLS-SEM) was adopted to test the hypotheses.

The results demonstrate that OLC directly and positively affects SR. Besides, SREC and DT partially and serially mediate the OLC-SR relationship.

The sample size was small, covering only Egyptian private hospitals. The results may be different in the manufacturing sector and in other countries. The study was cross-sectional which is limited to trace long-term effects of OLC, SREC and DT on SR. Accordingly, a longitudinal study may be undertaken.

Private hospitals' managers must actively explore and dig out valuable resources in order to discover potential information and trends endeavor to redesign internal structures, and reconfigure their current resources, structures and strategies to achieve strategic renewal. The findings also provide new insights to mangers of private sectors' institutions and direct their attention toward adopting the strategic renewal option to survive amidst crises instead of retrenchment, persevering, or quitting business.

The study's results imply that health care providers have sought to improve the capacities of their health care systems to address the patient-level social needs through continuous learning, internal reconfigurations and the transformation toward digitalization to renew their services.

This study therefore contributes to SR literature by being the first empirical study to introduce an integrative model for the antecedents of SR amidst the pandemic.

This study aims to test a public–private partnership (PPP) success model by examining the direct effects of two input factors (facilitative leadership and communication quality) on an outcome factor, namely, PPP success (PPP project success and PPP relational success), as well as the mediating effect of trust as a process factor on these relationships.

The present research uses the sociotechnical systems theory as the guiding framework. This is a quantitative study that uses a questionnaire survey and purposive sampling. The respondents comprise 266 public and private sector employees who have been involved in various PPP projects. The data gathered from the survey are analysed using SPSS and structural equation modelling (AMOS version 23.0).

The findings of this study indicate that facilitative leadership, communication quality and trust are positively correlated with PPP success, that is, PPP relational and PPP project success. Trust is found to mediate the relationship between facilitative leadership and communication quality with PPP success.

This paper upholds the importance of facilitative leadership, communication quality and trust in a PPP setting.

This study enriches the knowledge of PPP projects regarding facilitative leadership, communication quality and trust. It also discusses the vital role of these variables in ensuring PPP success.

This study aims to fill several gaps in the literature. First, it examines the Umrah industry from the supply side, investigating the pivotal factors for travel agencies’ performance. Second, it empirically investigates service leaders’ competencies specific to the hospital and tourism industry. Third, it clarifies whether there is a direct impact of organisational service orientation on business performance. Fourth, it explores the influence of network capabilities in a service context, specifically in travel agencies, which has rarely been discussed.

This is a mixed-method study with sequential explanatory research design. First, a quantitative approach was conducted with 150 authorised travel agencies in Indonesia, with two manager-level employees representing each agency. The data were analysed using descriptive statistics and structural equation modelling. A qualitative study was conducted to enrich the findings by interviewing the Director of Umrah and Hajj Development of the Ministry of Religious Affairs of the Republic of Indonesia and three other respondents.

Service leaders’ competencies and resource capacity significantly influence organisational service orientation, leading to enhanced perceived service quality and performance. In addition, resource capacity influences network capabilities, improving performance.

This study identifies factors affecting the performance of Umrah travel agencies in an intensely competitive environment, which has rarely been discussed. This sheds light on how travel agencies can survive and succeed in this competitive industry. Moreover, this study provides evidence regarding the role of network capabilities in the tourism industry and the impact of organisational service orientation, both directly and indirectly, on performance.