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This paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.

This paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.

COVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.

COVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.

SI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.

This paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.

By anchoring on the ability-motivation-opportunity (AMO) framework, this research aims to examine the effect of tourists' green ability, motivation and opportunity to access green information on digital media platforms (green AMO) on their intention to stay at green hotels. The study also tests the moderating role of environmental concern and the mediating role of green attitude in this relationship.

An online survey was conducted on large Facebook groups and by an international tour operator in March 2022. Through convenience sampling, 600 responses were collected from local and international tourists. Partial least squares structural equation modeling was performed to validate the research model.

The results reveal that tourists' intention to stay at green hotels is positively affected by their green AMO through indirect and direct channels. Specifically, green AMO indirectly effects tourists' intention to stay at green hotels by raising their green attitude. The results also indicate that the direct effect is moderated by environmental concern.

The findings demonstrate the importance of facilitating tourists' access to environmental information on social media platforms, which enhances green attitude and intention to stay at green hotels. This study also proposes practical solutions that managers of green hotels can employ to target green-oriented customers and conduct environmental campaigns on digital platforms.

The research is the first to investigate the effects of tourists' green AMO on their intention to stay at green hotels. It is also the first to explore the roles of environmental concern and green attitude in this relationship.

This paper examines the effect of intellectual capital (IC) and market capitalization (MC) on corporate investment decisions (ID) through the mediating and moderating effects of knowledge/information sharing (KS) and the Covid-19 pandemic.

With the use of SPSS 26 and SmartPLS version 3.0, the partial least square structural equation modelling (PLS-SEM) technique is employed with 1,036 observations to examine the effects.

Our findings show that IC and social interactions (SI) have a positive effect on KS. KS affects positively both MC and ID. KS has the mediating and moderating effects while the Covid-19 has the moderating impact on ID.

This research suggests that company leaders should understand the important role of IC and MC in enhancing ID through KS. They should pay attention to MC to enhance their investment and SI among employees, partners, consumers and authorities should be encouraged.

This research contributes to the existing literature by employing the perceptual scale to examine the effect of IC and MC, the mediating and moderating effects of KS, and analyze the moderating role of the Covid-19 on ID. It also expands the current models by including the Covid-19 and MC to clarify the ID determinants. New measurements of MC and the Covid-19 constructed are also another contribution.

The aim of this research is to examine the roles of trust and electronic word-of-mouth (e-WOM) in crowdfunding (CF) participation for equity CF by taking into account the following antecedents of trust and e-WOM: intrinsic motivation (IM), extrinsic motivation (EM), deterrents, venture quality (VQ), third-party seal (TPS), value congruence (VC) and perceived accreditation (PA).

In this research, a survey among 408 active and potential funders in Iran was conducted. The statistical analysis used partial least squares structural equation modeling (PLS-SEM).

The results of this research revealed a significant influence of trust and e-WOM on participation in CF for equity CF. Extrinsic motivation had the greatest impact on trust and VC had the greatest impact on e-WOM.

This research extends the equity CF research area to CF success and considers the effects of some parameters on CF participation. This research provides many theoretical and practical implications.

This paper aims to assess the role of CEOs with military experience in shaping corporate outcomes in Vietnam and provide new insights into how these unique backgrounds influence corporate financial decisions and firm performance within the specific context of an emerging market.

This study uses a comprehensive data set of 323 non-financial firms listed in Vietnam over 2013–2021 to examine the association between military-experienced CEOs and corporate outcomes. The authors apply propensity-score matching analysis to address potential endogeneity issues and use 2SLS estimation to show the mechanisms through which military CEOs affect firm performance.

The authors find that firms led by CEOs with military backgrounds outperform their counterparts lacking this experience. Furthermore, the findings indicate that firms helmed by military-experienced CEOs tend to make more investments and maintain lower (higher) short-term (long-term) debt levels.

This study provides additional evidence on the influence of military CEOs on corporate outcomes, particularly in the context of an emerging market. It underscores the positive effects of skills acquired during military service on veterans’ civilian careers, particularly in business leadership roles. The findings are valuable for managers contemplating the recruitment of veterans, highlighting the potential advantages these individuals can bring to a company. Additionally, the results may inspire younger individuals to consider military training as a means to develop valuable characteristics that can enhance their personal and professional development.

The authors have observed the notable success in firms led by CEOs with military backgrounds since Vietnam’s renovation period in the 1980s. Yet, to the best of the authors’ knowledge, research on the influence of military-experienced CEOs in Vietnam remains scarce. This study is the first pioneering in shedding light on the diverse contributions of soldiers to the development of the Vietnamese economy.

This study evaluates the important role of humane entrepreneurship (HE) on sustainable business advantage (SBA) and sustainable business performance (SBP) by exploring the mediating role of sustainable business model innovation (SBMI) under the influence of knowledge management (KM) in small and medium-sized enterprises (SMEs). Encouraging businesses to implement a combination of KM and HE facilitates the implementation of SBMI that brings value to businesses, communities and the environment in emerging economies.

This study uses an empirical quantitative research method using primary information based on data collected by questionnaires. The study sample resulted in 424 valid responses (66.77% response rate). The target audience of the study is middle and senior managers in SMEs. This study aims to perform structural modeling analysis with the maximum likelihood estimates method to examine structural relationships.

This study found a positive relationship between KM and HE to SBMI. At the same time, SBMI plays an important role for businesses to achieve SBA and SBP. Similarly, a positive relationship was also found between HE to SBA and SBP. And SBA strongly promotes SMEs to achieve SBP. In addition, the mediating role of SBMI and SBA is clarified to have a positive impact between HE–SBP and SBMI–SBP. HE plays an important role in motivating businesses to innovate sustainable business models, making it easier to gain sustainable competitive advantages, thereby bringing sustainable business results.

This research helps SMEs realize the importance of KM and HE in SBMI. At that time, SMEs take advantage of internal and external information sources and innovate their business models based on HE mechanisms. Applying HE mechanisms will allow businesses to innovate their business models by combining concerns between stakeholders and the social environment for sustainable development. Therefore, businesses will achieve their SBA toward SBP.

The present literature shows that there are few empirical studies on the mechanism mediating SBMI in the relationship between HE and SBP; and SBA in the link between SBMI and SBP. In addition, the impact of KM and HE on SBMI is also very important in the current context. The study's findings could have huge implications for entrepreneurs and senior managers in SMEs in emerging economies. Help them realize the importance of KM and HE for SBMI, thereby building strategic perspectives that help businesses achieve sustainable competitive advantages and increase SBP for businesses.

The main purpose of this review is to enhance the understanding of intellectual structure and outlook of management innovation research as an interesting and growing research field.

This systematic literature review examines the question, what is the relationship of management innovation with the performance of companies and with other types of innovation? The work also pursues to summarize theories, contexts, characteristics of the papers and methodologies with the purpose of facilitating further development and opportunities and priorities for future research.

The results suggest that management innovation is an interesting and growing research field; in its relation to different types of innovation and performance, it is a field explored with theoretical approaches, contexts and methodologies that begin to form a consolidated body of knowledge. However, through a critical analysis, this review highlights the gaps in the literature and provides suggestions for future studies to further explore the field. This revision contributes to the literature on management innovation summarizing the findings and contributions of research published in the field and its relationships with innovation and performance. It then identifies three comprehensive research streams, namely, future research on conceptualization, definitions and measurements; research on the level of analysis; and future research on management innovation drivers, antecedents and use as mediator/moderator variables.

Management innovation is an emerging research field that is characterized as a branch of research long ignored by more orthodox lines dedicated to technological innovation and topics in product and service development research.

This study aims to examine the impact of China's “Manufacturing and Internet Integration Development Pilot Demonstration Project” (MIP) policy on the digital transformation (DT) and labor structure optimization (LSU) of manufacturing enterprises, reveal the relationship between DT and LSU at the micro level and investigate the mechanism between them.

This study employs MIP as a quasi-natural experiment and develops a time-varying difference-in-difference (DID) model based on a sample of 2,445 Chinese A-share listed manufacturing enterprises in the Shanghai and Shenzhen markets from 2013 to 2021.

The implementation of MIP significantly increases DT by 0.4366 and optimizes LSU by 0.0507. By enhancing the two mediated variables of organizational learning inputs (SI) and employees' personal digital cognition (PDC), DT can optimize the LSU of pilot enterprises by 0.035 and 0.034, according to the results of the mechanism analysis. The study also reveals that the impact of MIP on LSU is highly heterogeneous. With effects of 0.0691 and 0.0632, the optimization effect is more pronounced in state-owned firms and firms with low ownership concentration, respectively.

This study demonstrates the dual effects of the MIP pilot on DT and LSU. In addition, this study pioneers research on the significance of optimizing the labor structure through SI and PDC on the basis of DT, which provides an empirical foundation for the Chinese Government to expand the scope of MIP pilots and revise policy content, as well as for manufacturing enterprises to upgrade the labor structure.

This systematic review of the current gender inequality issues in operations and supply chain management (OSCM) seeks to illuminate the multifaceted aspects of this issue and their various implications for the field.

Employing systematic literature review and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) methodologies, this research delves into an analysis of 238 journal articles spanning a 47-year period. The objective is to discern existing voids and put forth actionable suggestions that align with the United Nations’ Sustainable Development Goal Number 5 (SDG5) in the context of men and women, which pertains to realizing gender equality and empowering girls and women.

The results show a significant increase in published articles over the period. However, only five literature review articles were found that specifically address gender inequality in OSCM. The five common themes impacting gender inequality in this field are gender issues, mindset, transportation disparities, human resources and gender roles in OSCM, alongside sustainability, mobility and government policy intersections. The paper emphasizes the need for further research on these themes. It also suggests implications for educators, researchers, companies, OSCM departments and policymakers to achieve SDG5.

This study offers valuable insights by comprehensively reviewing and systematically analyzing the prevailing gender inequality issues within OSCM. It accentuates the significance of gender equality in OSCM, augmenting the burgeoning discourse and catalyzing concerted endeavors for gender equality.

The purpose of this paper is to develop a reliable model that would predict the compressive strength of slurry infiltrated fiber concrete (SIFCON) modified with various supplementary cementitious materials (SCMs) using artificial intelligence approach.

This study engaged the artificial intelligence to predict the compressive strength of SIFCON through deep neural networks (DNN), artificial neural networks, linear regression, regression trees, support vector machine, ensemble trees, Gaussian process regression and neural networks (NN). A thorough data set of 387 samples was gathered from relevant studies. Eleven variables (cement, silica fume, fly ash, metakaolin, steel slag, fine aggregates, steel fiber fraction, steel fiber aspect ratio, superplasticizer, water to binder ratio and curing ages) were taken as input to predict the output (compressive strength). The accuracy and reliability of the developed models were assessed using a variety of performance metrics.

The results showed that the DNN (11-20-20-20-1) predicted the compressive strength of SIFCON better than the other algorithms with R² and mean square error yielding 95.89% and 8.07. The sensitivity analysis revealed that steel fiber, cement, silica fume, steel fiber aspect ratio and superplasticizer are the most vital variables in estimating the compressive strength of SIFCON. Steel fiber contributed the highest value to the SIFCON’s compressive strength with 16.90% impact.

This is a novel technique in predicting the compressive strength of SIFCON optimized with different SCMs using supervised learning algorithms, improving its quality and performance.