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The purpose of this paper is to develop a probabilistic uncertain linguistic (PUL) TODIM method based on the generalized Choquet integral, with respect to the interdependencies between criteria, for the selection of the best alternate in the context of multiple criteria group decision-making (MCGDM).

Owing to decision makers (DMs) do not always show completely rational and may have the preference of bounded rational behavior, this may affect the result of the MCGDM. At the same time, criteria interaction is a focused issue in MCGDM. Hence, a novel TODIM method based on the generalized Choquet integral selects the best alternate using PUL evaluation, where the generalized Choquet integral is used to calculate the weight of criterion. The generalized PUL distance measure between two probabilistic uncertain linguistic elements (PULEs) is calculated and the perceived dominance degree matrices for each alternate relative to other alternates are obtained. Furthermore, the comprehensive perceived dominance degree of each alternate can be calculated to get the ranking.

Potential application of the PUL-TODIM method is demonstrated through an evaluation example with sensitivity and comparative analysis.

As per author's concern, there are no TODIM methods with probabilistic uncertain linguistic sets (PULTSs) to solve MCGDM problems under uncertainty. Compared with the result of existing methods, the final judgment value of alternates using the extended TODIM methodology is highly corroborated, which proves its potential in solving MCGDM problems under qualitative and quantitative environments.

With the rapid development of Internet technology, cybersecurity threats such as security loopholes, data leaks, network fraud, and ransomware have become increasingly prominent, and organized and purposeful cyberattacks have increased, posing more challenges to cybersecurity protection. Therefore, reliable network risk assessment methods and effective network security protection schemes are urgently needed.

Based on the dynamic behavior patterns of attackers and defenders, a Bayesian network attack graph is constructed, and a multitarget risk dynamic assessment model is proposed based on network availability, network utilization impact and vulnerability attack possibility. Then, the self-organizing multiobjective evolutionary algorithm based on grey wolf optimization is proposed. And the authors use this algorithm to solve the multiobjective risk assessment model, and a variety of different attack strategies are obtained.

The experimental results demonstrate that the method yields 29 distinct attack strategies, and then attacker's preferences can be obtained according to these attack strategies. Furthermore, the method efficiently addresses the security assessment problem involving multiple decision variables, thereby providing constructive guidance for the construction of security network, security reinforcement and active defense.

A method for network risk assessment methods is given. And this study proposed a multiobjective risk dynamic assessment model based on network availability, network utilization impact and the possibility of vulnerability attacks. The example demonstrates the effectiveness of the method in addressing network security risks.

The developed world increasingly expects corporations to support the community under the corporate social responsibility (CSR) banner. For developing countries, the situation differs and CSR has yet to be fully embraced. This study aims to examine the CSR in the Ghanaian construction industry (GCI).

A multi-stage methodology employs descriptive statistics, the t-test and χ2-test to analyse survey data.

Results highlight three broad classifications of CSR project typology: social; infrastructure; and environmental. Ghanaian firms are found more aligned to social/intangible CSR projects than tangible ones.

The study is geographically focussed, but the findings hold relevance to all the developing countries. The findings hold implications for policy making and planning in terms of how Ghanaian communities might integrate corporations within their geographical catchments, to enhance sustainable, local development.

This is the first in a series of CSR research within the Ghanaian context. It holds value for others conducting similar work within the developing world.

The purpose of this paper is to evaluate the impact of investment in Intangible Assets on the corporate performance of Indian companies for a period of twelve years from 2001 to 2012.

Intangible assets have been measured using the “Intangible Assets Monitor” method developed by Sveiby (1997).

The results of panel data regression model reveal that Intangible Assets affect performance of companies positively after controlling for firm size, age, leverage, physical capital intensity, market share, risk, industries and dummy year.

The study is of immense importance to corporate managers in improving managerial insight into the significance of investment in Intangible Assets. The results direct Indian managers to understand and realize the importance of Intangible Assets and keenly invest in research and development, technology, software, advertising, customer relationship management and human resources to further augment their performance.

Specifically considering India, the research related to the association between Intangible Assets and performance is undersized. Thus, the present study would contribute to the existing literature comprehensively.

Although previous research has investigated how performance feedback may affect firms’ strategic actions, their findings has been inconsistent. The relationship between performance feedback and firms’ strategic activities thus appears complex. Moreover, the authors contend that it may vary with the measurement strategies employed (i.e. social or historical feedback, operationalizations of strategic actions or accounting- and market-based performance indicators) and the national contexts.

Therefore, the current article presents a comprehensive meta-analysis of prior research, including 1,637,817 sample observations from 101 studies that span more than 18 countries.

The results indicate that (1) performance that are below or above aspirational levels generally has a positive relationship with firms’ strategic actions; (2) these relationships are contingent on the implementation forms taken by the key variables, such as performance feedback, strategic actions and performance indicators; and (3) the relationships are much stronger in countries where managerial discretion is greater.

The findings contribute to the clarification of long-standing theoretical and empirical debates regarding the relationship between performance feedback and strategic actions, as well as some pertinent directions for future research.

Trade credit is an important business-to-business marketing tool for building firms’ competitive advantage. Many studies explore the determinants of trade credits from a trust-based view, but the role of political connections is largely overlooked, despite their potential influence in assessing firms’ trustworthiness in the context of emerging economies. This study aims to fill this gap by examining how political connections affect the capacity of emerging economy firms (EEFs) to grant and receive trade credit.

This study tests a conceptual model using secondary data collected from 1,149 Chinese privately owned listed manufacturing firms between 2008 and 2016.

This study finds that political connections reduce EEFs’ accounts receivable and payable; their philanthropic activities alleviate this negative effect for accounts payable, while patent applications reduce it for accounts receivable. These findings suggest the effect of political connections can spillover to EEFs’ relationship with their up- and down-stream partners.

This study has implications EEF managers, particularly in pointing to the detrimental effect of political connections on relationships with buyers and suppliers, and highlights the need to adopt suitable approaches to offset this effect.

This study sheds new light on the negative effect of political connections on EEFs’ capacity to grant and receive trade credit in their exchanges with up-stream and down-stream partners. It enriches the trust-based view of trade credit by revealing the significant influence of EEFs’ political connections, while also advancing a contingency view by testing the moderating role of corporate philanthropic activities and patent applications.

This paper aims to demonstrate that corporate philanthropy can be driven from the bottom to the top. In particular, the authors investigate whether employees’ donations influence corporate philanthropy and under what conditions this effect occurs.

The sample consists of Chinese listed firms that disclosed the amount employees donated in response to the Sichuan earthquake in 2008. The Heckman two-stage selection model is applied to examine the effect of employees’ donations on corporate philanthropy and the conditions under which this effect occurs.

The results show that employees’ donations are positively associated with corporate philanthropy. Furthermore, a higher percentage of females in top management teams can significantly strengthen the effect of employees’ donations on corporate philanthropy. When the average age of the top management team members is high, the influence of employees’ donations on corporate philanthropy is stronger.

This is an empirical study that helps to predict corporate philanthropy. Another practical implication is that employees should be recognized as an important element of corporate social responsibility.

The results encourage employees to become drivers of corporate social responsibility.

This study contributes to the corporate social responsibility literature by demonstrating that corporate philanthropy can be driven from the bottom to the top. Moreover, this study integrates signaling theory into the study of corporate social responsibility. Finally, this study identifies two important contingent factors that strengthen the effect of employees on top managers’ decisions about corporate social responsibility.

From an institutional perspective, this study empirically examines whether institutional pressures, such as industry pressures and public attention, significantly influence corporate philanthropic disaster responses (CPDRs). Furthermore, this paper aims to examine the moderating role of a company’s prior history of philanthropic donation.

This paper uses secondhand data from 217 Chinese listed companies that responded philanthropically to the 2008 Sichuan Earthquake.

This paper finds that both industry pressure and public attention are positively associated with companies’ donations; their prior history of philanthropic donations significantly moderates these relationships such that these relationships become stronger and for companies that have prior histories of small philanthropic donations.

First, this paper contributes to the philanthropy literature by identifying two kinds of institutional pressures (i.e. industry pressure and public attention) that exert great influences on CPDR contributions. Second, by studying the moderating role of firms’ prior philanthropic history, this study contributes to the understanding of companies’ different reactions to institutional pressures. In addition to the theoretical contribution, this paper encourages companies to proactively establish a sustainable philanthropic giving plan rather than being passively driven by external stakeholders.

Although the relationship between corporate social responsibility (CSR) and financial performance has become a hot topic of the Western management community after several decades of arguments, there is still little empirical literature about the relationship between Chinese companies' CSR and financial performance. According to the investigation of Chinese companies, this paper aims to use stakeholder theory to answer this question.

A theoretical framework is proposed based on the stakeholder theory by defining nine kinds of stakeholders and viewing the companies taking CSR as giving responses to the interest requirement of these stakeholders. Some agent variables are also set to depict CFP. Subsequently, this paper uses the data collected in 2007 and 2008 from Chinese firms to explore the relationship between CSR and corporate financial performance (CFP) empirically.

The results show that companies' social responsibility activity can improve their financial performances of the current year, have significant effects on their financial performances of the next year, and vice versa. The variation of CSR and financial performance can also significantly influence each other.

This research integrates the factors of time delay and cause‐effect with the relationship of CSR and CFP, and then provides theory support for companies taking CSR.