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The study aims to construct a model that illustrates the relationship between receiving and sharing negative electronic word-of-mouth (e-WOM), consumer resistance to innovation (CRI), and customer loyalty.

Utilizing questionnaire surveys and regression model analysis, this study examines the case of smartphones to explore the impact of customer loyalty and CRI on the spread of negative e-WOM.

The results show that when consumers receive negative e-WOM, it increases their resistance to innovation, consequently raising the probability of them sharing this negative feedback. However, strong customer loyalty mitigates this interaction. Interestingly, customer loyalty increases the likelihood of consumers sharing negative e-WOM upon receiving it. This suggests that loyal consumers tend to be more inclined to share information, regardless of its positivity or negativity.

The paper contributes by examining the mechanisms linking the receipt and dissemination of e-WOM, CRI, and customer loyalty, along with the moderating impact of customer loyalty.

This study aims to investigate the relationship between corporate environmental responsibility (CER) and risk-taking in Chinese A-share listed companies from 2011 to 2020. It seeks to understand the influence of CER on risk-taking behavior and explore potential moderating factors.

A quantitative approach is used, using data from Chinese A-share listed companies over the specified period. Regression analysis is used to examine the relationship between CER and risk-taking, while considering moderating variables such as performance aspiration, environmental enrichment and contextual factors.

The findings indicate that CER positively influences corporate risk-taking, with significant impacts on information asymmetry and corporate reputation. Moreover, positive performance aspiration strengthens the effect of CER on risk-taking, while negative performance aspiration and environmental enrichment weaken this effect. Cross-sectional analysis shows that the positive association between CER and risk-taking is more prominent for firms located in areas with strict environmental regulation, for nonstate-owned firms, and for firms with higher levels of internal control.

This research contributes to the literature by providing insights into the dynamics between CER and risk-taking in the Chinese market context. It expands existing knowledge by considering the influence of performance aspiration on this relationship, offering practical implications for firms seeking to enhance corporate performance through strategic management of environmental responsibilities.

This study examines firms' strategic entrepreneurial behaviors based on the interaction of regulatory institutions and entrepreneurs' cognition, human capital, and social capital capabilities.

Data was collected from 450 exporting companies in Türkiye, which is a developing economy. Smart PLS 4.0 and SPSS 24.0 software were used to analyze the data. The data were examined using structural equation modeling, confirmatory factor analysis, average extracted variance, composite reliability, and Cronbach's alpha analyses.

The findings show that entrepreneurial cognition, social capital, and regulatory institutions influence each other, this relationship is not confirmed in managerial human capital. Moreover, while managerial cognition affects strategic entrepreneurship behavior, this effect was not supported for managerial human capital and managerial social capital. However, it was determined that only entrepreneurial cognition mediates the relationship between regulatory institutions and strategic entrepreneurial behavior.

This research enables entrepreneurs to understand, navigate, and appreciate the significance of the interactions between regulatory institutions and dynamic managerial capabilities in decision-making. Additionally, the study allows policymakers to develop evidence-based policy designs that equip entrepreneurs with the insights needed to succeed in a competitive and regulatory complex environment.

Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021.

We employ probit model to capture the effects of agricultural insurance on green pesticides adoption.

We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control.

The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.

This study aims to investigate the effects of both internal and external corporate social irresponsibility (CSI) on organizational workplace deviant behaviours (OWDB) by using social cognitive theory. The study also explores the role of moral disengagement as a mediator in this relationship.

Data was collected from a sample of 321 individuals employed in the textile industry of Pakistan. The study used partial least square-structural equation modelling (PLS-SEM) to estimate the relationships within the model.

The findings indicate that both internal and external CSI have a positive impact on moral disengagement. Secondly, moral disengagement drives OWDB positively. Thirdly, moral disengagement is a significant mediator that mediates between both internal and external CSI and OWDB positively.

This research offers novel perspectives to organizational leaders, highlighting the significance of addressing CSI in conjunction with sustainability endeavours. It is imperative for business managers to prioritize the morality of their employees.

This study’s novelty lies in its confirmation of the mediating role of moral disengagement in the relationship between internal and external CSI and OWDB.

This study sought to develop an aggregated assessment of the literature on the resource-based view (RBV). The main aim was to map the RBV field based on a systematic literature review (SLR) of 226 academic articles published in refereed journals from 1994 to 2022.

Two bibliometric analysis methods were used: bibliographic coupling and co-citation. These measures are complementary because bibliographic coupling is retrospective in nature and co-citation is forward-looking.

The analysis identified the most influential studies, top-cited articles and journals and six major thematic clusters: RBV, customer orientation and alliance portfolio, resource-based theory, firm performance, entrepreneurial orientation (EO) and dynamic capabilities.

This research was based on a combination of bibliographic coupling and co-citation analysis. The results provide a better understanding of the RBV field’s intellectual structure, which reveals potential new lines of future research.

The aim of this article is to highlight the major part played by executives in the escalation of corporate social irresponsibility (CSI). Based on the upper echelons theory, the authors developed a model which shows the essential role of CEOs in explaining CSI. The authors proposed that the key personality traits of CEOs—narcissism—, as well as their power, could explain the degree of CSI.

Due to the significant methodological challenges when investigating CSI, the authors explored a novel method for measuring CSI in order to assess the degree of irresponsible behaviors. The authors build a CSI scale based on the perceptions of key informants, i.e. experts with diverse professional backgrounds. The authors apply CSI scale in a sample of 84 Spanish companies that were involved in CSI.

The results of the authors’ empirical study show the positive and significant influence of CEO narcissism and CEO power on the degree of CSI.

On the one hand, corporate irresponsibility scandals have relevant social consequences and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.

The authors’ findings may help CEOs, TMTs and corporate boards to acknowledge potential sources of CSI decreasing its likelihood through counterbalancing CEO's power and considering the dark side of narcissism.

On the one hand, corporate scandals have relevant social and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.

In this paper, the authors highlight the role of CEOs characteristics and their firms as the key actors for explaining and understanding the degree of CSI.

本研究擬強調行政主管在加劇企業無社會責任感上所扮演的主要角色。我們根據高層梯隊理論, 開發了一個模型, 來顯示執行長如何在解釋企業無社會責任感上所起的關鍵作用。我們提出一個見解, 就是: 執行長的主要人格特質-自戀和其權力-或許能解釋企業無社會責任感的程度。

由於面對在關於企業無社會責任感的研究法上的重大挑戰, 我們探索了一個估量企業無社會責任感的新穎方法, 以能對企業無社會責任感行為的程度進行評估。我們根據主要的資訊提供者的觀念和看法, 制定了一個企業無社會責任感的等級 (這些主要的資訊提供者均為具有不同專業背景的專家), 我們在84間西班牙公司的樣本裡, 使用了這企業無社會責任感等級, 而這些公司均涉及企業無社會責任感的。

我們這實證研究的結果顯示, 執行長的自戀和其權力, 對企業無社會責任感的程度, 起著正面和顯著的影響。

在本學術論文裡, 我們強調了執行長的特徵和他們的公司, 是瞭解和解釋企業無社會責任感的程度的關鍵行為者。

一方面, 企業無社會責任感的醜聞會帶來相關的社會後果和實務方面的影響;而另一方面, 自戀是高層主管的自然特徵, 而這些特徵, 在我們的社會裡不斷增強。本研究的結果, 或許可幫助執行長、高層管理團隊和公司董事會去承認企業無社會責任感的潛在原因, 並以透過平衡執行長的權力和考慮自戀的陰暗面而減低企業無社會責任感產生的可能。

This study proposes a portfolio of new venture signals that are likely to attract investors' attention in the context of an emerging market and examines how they work in combination to affect the likelihood of obtaining funding.

The authors use data on early-stage venture capital investments for high-tech start-ups in Turkey. The authors adopt a configurational approach and use fuzzy QCA and regression analysis.

The findings suggest that financing of new ventures in an emerging economy is shaped by signals of context-specific capabilities that are required to survive and thrive in this market environment alongside and in interaction with signals of general capabilities required for business success. Different combinations of these signals provide equifinal pathways to obtain funding. Furthermore, signals that differ in type and content interact in complex ways to affect investors' decisions.

The findings suggest that entrepreneurs with no prior experience in the emerging market context can increase their chances of obtaining funding by affiliating with a venture development organization. Another promising strategy is to form a founding team that includes members affiliated with a developed country together with members who have emerging market experience. Finally, entrepreneurs may consider combining signals of context-specific capabilities with signals of general capabilities as they work in a complementary way to attract funding.

This study addresses two major shortcomings of the literature on new venture signaling, first, by positing the emerging market context as a unique signaling environment and, second, by demonstrating the value of considering signals as portfolios with potential interdependencies.

Once regional financial risks erupt, they not only affect the stability and security of the financial system in the region, but also trigger a comprehensive financial crisis, damage the national economy, and affect social stability. Therefore, it is necessary to regulate regional financial risks through artificial intelligence methods.

In this manuscript, we scrutinize the loan data pertaining to aggregated regional financial risks and proffer an ARIMA-SVR loan data regression model, amalgamating traditional statistical regression methods with a machine learning framework. This model initially employs the ARIMA model to accomplish historical data fitting and subsequently utilizes the resultant error as input for SVR to refine the non-linear error. Building upon this, it integrates with the original data to derive optimized prediction results.

The experimental findings reveal that the ARIMA-SVR (Autoregress Integrated Moving Average Model-Support Vector Regression) method advanced in this discourse surpasses individual methods in terms of RMSE (Root Mean Square Error) and MAE (Mean Absolute Error) indices, exhibiting superiority to the deep learning LSTM method.

An ARIMA-SVR framework for the financial risk recognition is proposed. This presentation furnishes a benchmark for future financial risk prediction and the forecasting of associated time series data.

Drawing upon social exchange theory, this research investigates the interplay of corporate philanthropy, environmental marketing strategy, relationship quality, greenwashing, and customer citizenship behavior in the family-owned hotels of an emerging market.

A field survey questionnaire was used to gather the data from 394 hotel customers by randomly selecting three premium family-owned hotels in Lahore: Faletti’s, Avari, and Holiday Inn. The data was analyzed using the structural regression modeling (SRM) technique with the assistance of AMOS version 24.

The results show that corporate philanthropy and environmental marketing strategy positively influence relationship quality, and relationship quality positively influences customer citizenship behavior. Relationship quality partially mediates the association between corporate philanthropy and customer citizenship behavior, but we found that greenwashing does not have a moderating role.

This research has theoretical implications for marketing scholars and practical implications of family-owned hotels in emerging markets.

The study has contributed contextually by collecting a unique dataset from family-owned hotels in an emerging market. Theoretically, we have conceptualized a model through the Social Exchange Theory by recommending relationship quality as a mediator and greenwashing as a moderator.