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Available information for evaluating the possibility of hospitality firm failure in emerging countries is often deficient. Oversampling can compensate for this but can also yield mixed samples, which limit prediction models’ effectiveness. This research aims to provide a feasible approach to handle possible mixed information caused by oversampling.

This paper uses mixed sample modelling (MSM) when evaluating the possibility of firm failure on enlarged hospitality firms. The mixed sample is filtered out with a mixed sample index through control of the noisy parameter and outliner parameter and meta-models are used to build MSM models for hospitality firm failure prediction, with performances compared to traditional models.

The proposed models are helpful in predicting hospitality firm failure in the mixed information situation caused by oversampling, whereas MSM significantly improves the performance of traditional models. Meanwhile, only partial mixed hospitality samples matter in predicting firm failure in both rich- and poor-information situations.

This research is helpful for managers, investors, employees and customers to reduce their hospitality-related risk in the emerging Chinese market. The two-dimensional sample collection strategies, three-step prediction process and five MSM modelling principles are helpful for practice of hospitality firm failure prediction.

This research provides a means of processing mixed hospitality firm samples through the early definition and proposal of MSM, which addresses the ranking information within samples in deficient information environments and improves forecasting accuracy of traditional models. Moreover, it provides empirical evidence for the validation of sample selection and sample pairing strategy in evaluating the possibility of hospitality firm failure.

After receiving advertising messages, most consumers rarely purchase the advertised products at once, which results in a delay between advertising exposure and its effect. This paper is devoted to exploring the advertising decision and coordination issues for a supply chain system subject to advertising immediate and delayed effects.

By applying the game theory, the differential game models with delay are constructed for the supply chain to examine the equilibrium advertising efforts, brand goodwill and the optimal profits under the different cooperation situations. A class of transfer payment contracts is designed to achieve the best outcome of the supply chain. Illustrative examples are given to demonstrate the effectiveness of addressed results and provide some managerial perspectives.

It can be found that the complete cooperation situation can stimulate the advertising investment, drive the product demand and improve the economic profit. Also, a class of transfer payment contracts is designed in this paper, such that the supply chain can perfectly realize the profit maximization, and each member can achieve the Pareto improvement.

This work does not address the random market environment, which can be filled in the future. Furthermore, this paper has been done in a single supply chain structure. It is an interesting future line of research when taking competitive behavior (e.g. competition among manufacturers, retailers or supply chains) into account.

This study will help managers make advertising strategies, advise an optimal cooperation way and design the coordination contracts to ensure the economic development of the supply chain. These obtained conclusions may provide a valuable decision-support for marketing management.

For a supply chain, the most previous literature about dynamic advertising models focused on a single advertising effect-immediate effect. This work explores advertising strategy with double advertising effects and investigates the coordinating power of new transfer payment contracts.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

The reinforced concrete open-web sandwich slab is composed of upper rib, lower rib, surface plate and shear key and was applied to long-span structure crossing at 18–30 m. The shear-bearing capacity of shear key, having vital effects on the slab’s bearing capacity, is analysed to present its calculation formula used for the engineering application of the slab.

The shear-bearing capacity of shear key is analysed by the strut-and-tie model and the benchmark model established by the finite element method. Furthermore, the design formula of its shear capacity is given by the parametric analysis of FEM to adjust the result of the strut-and-tie model, using multivariate linear regression analysis of these parameters.

The calculation result of the benchmark model is compared with those of the strut-and-tie model and the standard formula, which indicates that the result of the strut-and-tie model is closer to that of the benchmark model than that of the standard formula. Moreover, the parametric analysis of the finite element model indicates that the volume–stirrup ratio of the shear key and the compression strength of the concrete have lesser effect on the shear capacity compared with the longitudinal reinforcement ratio and the shear-to-span ratio of the shear key and the relative section height of the rib.

The shear capacity of the shear key is provided in the paper by combining the finite element method and the strut-and-tie model, which is different from the calculation of the shear key in local codes and Chinese code, based on the theory of short corbel and the experiment of member. Furthermore, the formula of the shear capacity could be employed in the design and construction of the RC open-web sandwich slab, mainly used in the public and industrial multi-story building with long span to save the dwindling land resource currently.

This study aims to apply signaling theory to examine whether corporate social responsibility (CSR) disclosure can deliver effective signals to stakeholders to increase a firm’s competitive advantage in China. Whether ownership patterns or environmental sensitivity causes a significant difference in the relationship between a firm’s CSR disclosure and competitive advantage is also examined.

Data analysis is based on a regression model. Content analysis is performed to convert qualitative CSR information of Chinese firms into quantitative data, while intellectual capital (IC) is used as a proxy variable for competitive advantage.

The difference in competitive advantage impairment between environmentally sensitive industries (ESIs) and non-environmentally sensitive industries (NESIs) is significant. Further comparisons on the relationship between overall CSR disclosure and competitive advantage among state-owned enterprises, privately owned enterprises, ESIs and NESIs suggest that the relationship is negative.

The study extends research of strategic CSR to signaling theory and competitive advantage. In particular, a research using IC as a proxy for competitive advantage is rare. It also contributes to the literature on competitive advantage and strategic CSR by examining the effects of both CSR disclosure and IC.

This paper provides evidence related to stakeholders’ reaction to managers’ various CSR strategies in China. The contribution of this study is that it confirms that different CSR initiatives have different effects on the competitiveness of enterprises in China.

This paper aims to use the social impact hypothesis and the shift of focus hypothesis to examine what drives controversial industries to make philanthropic donations: sustainable development, which can in turn lead to higher firm performance or a better corporate image.

This study employed a sample of Chinese firms from 2008–2015 and conducted regression analysis to explore the motivations behind corporate philanthropy.

Philanthropic giving is positively and significantly related to all indicators of firm performance; the interaction term of controversial industries and philanthropic giving is also positively and significantly related to firm performance. The empirical evidence supports the social impact hypothesis.

The empirical evidence shows that firms engage in philanthropic giving, mainly in pursuit of their own interests. Hence, managers should consider the inherent characteristics of the company and then combine social interests with their economic interests to design a philanthropic strategy of their own, which can in turn contribute to sustainable development.

This paper empirically confirms that the social impact hypothesis holds for the philanthropic activities of Chinese firms. This is a rare finding in related studies.

This research investigates subgroup formation as an important mediator in the goal interdependence-intragroup conflict linkage. Specifically, it proposes that subgroup formation will mediate the relationship between cooperative goal interdependence and intragroup conflict, but not for competitive goal interdependence and intragroup conflict. Further, competitive goal interdependence is posited to have direct, positive effects on intragroup conflict. Using structural equation modeling analyses with 79 student project teams, the findings revealed that subgroup formation fully mediated the relationship between cooperative goal interdependence and task and process conflict, but only partially mediated the relationship between cooperative goal interdependence and relationship conflict. As predicted, subgroup formation did not mediate the relationship between competitive goal interdependence and intragroup conflict; however, competitive goal interdependence was negatively, rather than positively, related to intragroup conflict.

This paper aims to examine the consequences for innovative work behavior (IWB) of top-down knowledge hiding – that is, supervisors’ knowledge hiding from supervisees (SKHS). Drawing on social learning theory, the authors test the three-way moderated-mediation model in which the direct effect of SKHS on IWB is first mediated by self-efficacy and then further moderated by supervisor and supervisee nationality (locals versus foreigners).

The authors collected multi-sourced data from 446 matched supervisor-supervisee pairs working in a diverse range of organizations operating in the Kingdom of Saudi Arabia. After initial data screening, confirmatory factor analysis was conducted to test for the factorial validity of the used measures with AMOS. The hypothesized relationships were tested in regression analysis with SPSS.

Results showed that SKHS had both direct and mediation effects, via the self-efficacy mediator, on supervisee IWB. The mediation effect was further moderated by supervisor and supervisee nationality (local versus foreigners), which highlighted that the effect was stronger for supervisor–supervisee pairs that were local-local or foreigner-foreigner than for pairs that were local-foreigner or foreigner-local.

This study contributes to both knowledge hiding and IWB literature and discusses the useful theoretical and practical implications of the findings.

This paper aims to use stakeholder theory and the guanxi perspective to examine the determining factors of water resources information disclosure among Chinese enterprises in the context of authoritarian and normative pressures.

Content analysis is first applied to analyze the environmental sustainability reports of the sample enterprises from 2010 to 2017. Afterward, logistic regression analysis is used to analyze the coded data and examine the proposed hypotheses.

The empirical evidence shows that having the state as the largest shareholder is positively, but not significantly, related to disclosure of water resources information. Water-sensitive industries are positively and significantly related to the disclosure of water resources information. Guanxi is negatively related to disclosure of water resources information, but not to the level of significance. The effect of the interaction term (Guanxi × Large) on disclosure is negative and also significant.

It is necessary for enterprises to build environmental awareness, increase information transparency for better communication with stakeholders and also establish accountability mechanisms. For effective disclosure and higher information transparency, the Chinese Government should take measures to avoid the disruption of guanxi and ensure effective enforcement of laws.

Industrial organizations or supervisory institutions are advised to encourage firms to build awareness of water-related risks and environmental sustainability and to improve how they disclose water resources information to stakeholders.

This study offers evidence of the determining factors of water resources information disclosure, a topic that has been rarely studied before. The evidence sheds light on how firms, especially those in China, have dealt with disclosure of water resources information in the context of authoritarian and normative pressures.

In the context of global economic downturn and intense competition, firms are increasingly resorting to supply chains to acquire capital support and achieve sustainability. This study aims to investigate the effect of supply chain finance (SCF) on corporate sustainability performance (CSP) and identifies SCF-related recipes for CSP.

Based on a sample of 1,038 firms that disclose CSP – namely, corporate financial performance (CFP) and environmental, social and governance performance (ESGP) – the authors use a quasi-replication method consisting of empirical analysis with fuzzy-set qualitative comparative analysis (fsQCA) to investigate SCF’s effects on CSP.

The authors find that SCF has a “doing well by doing good” effect on CSP. CFP can promote the positive effect of SCF and ESGP while ESGP’s positive effect on SCF and CFP is nonsignificant. In addition, heterogeneity tests show that SCF’s promoting effect on CSP is affected by high-low CFP and ESGP. The fsQCA results verify the empirical findings and reveal five SCF-related recipes for achieving high CSP.

This study has the following two limitations. First, we do not consider how SCF affects CSP in different industries. There is a need to investigate whether industry heterogeneity changes SCF’s effects on CSP, especially in prominent industries, such as the energy industry, with its high susceptibility to ESGP, and the manufacturing industry, with its extensive application of SCF. It will be important to investigate these industries to better understand SCF’s role in sustainability. Second, we study the secondary supply chain – namely, core firm–suppliers and core firm–customers. The authors do not consider financial institutions (e.g. banks and guarantee institutions). SCF modes that include the participation of financial institutions, such as factoring financing and reverse factoring financing, cater more to the capital needs of diversified firms. In the future, studying specific industries that have made significant contributions to the application of SCF along with others that are more sensitive to environmental governance could better highlight the effect of SCF on sustainability and help supply chain managers understand the application value of SCF. Future research could also extend SCF participants into multiple roles to explore separate effects. Tracking financing demanders, fund providers and credit guarantors could capture SCF characteristics more comprehensively. Methodologically, it will be challenging to accurately measure SCF networks in terms of quantification. In future work, this could be performed with the help of artificial intelligence.

First, our findings indicate that SCF has a “doing well by doing good” effect on core firms. SCF can not only overcome the capital shortage of SMEs but also provide significant benefits to core firms. Second, our findings provide SCF-related recipes to help firms fulfil ESGP obligations without sacrificing CFP under the pressure to “do good.” The authors provide valuable insights and diverse recommendations to help supply chain managers, marketing executives and researchers adjust supply chain management strategies. Third, this work can guide executives in various fields to adopt SCF to achieve sustainability as a risk-mitigation strategy by means of marketing.

This study identifies better, more straightforward SCF-related recipes for CSP (consisting of CFP and ESGP) using a quasi-replication analysis that improves upon conventional methods such as regression analysis, which have limited power. The authors provide valuable insights and diverse recommendations to help managers pursue sustainable development. The findings point to practical guidelines and feasible solutions that can support well-founded operational strategic and management decision-making, which can enhance a firm’s competitiveness under uncertainty and a sluggish economy.