Search results

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these comments is challenging due to their high volume and unstructured nature. The purpose of this paper is to develop a classification framework and machine learning model to overcome these limitations.

The authors create a multi-dimensional classification framework for the online corporate reputation that includes six main dimensions synthesized from prior literature: quality, reliability, responsibility, successfulness, pleasantness and innovativeness. To evaluate the classification framework’s performance on real data, the authors retrieve 19,991 social media comments about two Finnish banks and use a convolutional neural network (CNN) to classify automatically the comments based on manually annotated training data.

After parameter optimization, the neural network achieves an accuracy between 52.7 and 65.2 percent on real-world data, which is reasonable given the high number of classes. The findings also indicate that prior work has not captured all the facets of online corporate reputation.

For practical purposes, the authors provide a comprehensive classification framework for online corporate reputation, which companies and organizations operating in various domains can use. Moreover, the authors demonstrate that using a limited amount of training data can yield a satisfactory multiclass classifier when using CNN.

This is the first attempt at automatically classifying online corporate reputation using an online-specific classification framework.

The purpose of this paper is to discuss the different approaches to the corporate reputation construct, in order to identify a comprehensive definition that can be used for measurement purposes, gaps identified by previous literature identified.

This is a theoretical essay. The authors analyzed studies that involve the relationship between corporate reputation and organizational performance, and the attributes of national and international corporate reputation ratings.

The authors identified a more comprehensive definition for the reputation construct, and indicated courses for the construct’s measurement, by considering: the judgment by the stakeholders (internal, suppliers, clients and the financial market); periodical evaluations under different organizational perspectives; attention to theoretical assumptions, among other aspects.

The study is a theoretical paper that presents that the research field has many definitions that cannot be used interchangeably. It indicated how the reputation construct should be operationalized for measurement purposes. This study presented a reflection on the relationship between corporate reputation and performance, showing that it is not a settled topic in the academy.

The study advances the understanding of the reputation construct measurement, considering the adopted definition and the discussion of the attributes of the main ratings on corporate reputation. The adoption of a measurement method that takes into account the definition used in this study and the features of the methodologies discussed will improve the corporate reputation assessment.

Literature indicates that a good corporate reputation can affect organizational performance and the inverse relationship is also true. As a social implication, it is extremely relevant to improve the understanding the definition and measurement methods of this construct.

This study discusses one of the most important intangible resources for organizations, contributing to the understanding of the difference between the market value and the book value of public companies. Besides it should be considered that there is one lack of a definition directly related to the measurement of the reputation construct in the literature, a gap in which this study contributes.

Drawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated.

The review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model.

The results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful.

Using attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.

The purpose of this paper is to use stakeholder theory as the theoretical reference framework to study the influence of internationalization (geographic international diversification) and social performance on multinational companies’ (MNCs) reputation.

The authors confirm the research hypotheses using a sample of 113 US MNCs in the chemical, energy and industrial machinery sectors during the period 2005-2010.

This study contributes to the literature in three ways. First, it incorporates literature on internationalization to study the possible connection between geographic international diversification and social performance in MNCs. Second, it sheds light on the debate between corporate social responsibility (CSR) and the reputation of MNCs in a very diverse transnational context in which MNCs must meet the needs of stakeholders at both local and global levels. Third, it incorporates the mediating role of social performance in the relationship between geographic international diversification and the firm’s reputation.

Prior studies have hardly analyzed this relationship, which becomes especially relevant for MNCs, since their implementation of advanced CSR practices in the different markets in which they operate will gain them a good reputation, not only in specific local contexts but also globally, benefitting the organization as a whole and enabling it to gain internal consistency (improvement in internal efficiency), transparency and legitimacy.

This study aims to examine the potential effect that business ethics (BE) in general and corporate social responsibility (CSR) more specifically can exert on the voluntary disclosure (VD) of intellectual capital (IC) for the ethically most engaged firms in the world.

The research design is based on an inductive approach. As part of the global quantitative investigation, the authors have analyzed the impact of BE and CSR on the transparent communication of the IC. The data under analysis have been investigated using multiple linear regression.

Based on a sample of 83 enterprises emerging as the most ethical companies in the world, the results have revealed that the adoption of ethical and socially responsible approach is positively associated with the extent of VD about IC. This finding may help attenuating the asymmetry of information and the conflict of interest potentially arising with corporate partners. Hence, IC-VD may stand as an evidence of ethical and socially responsible behaviors.

Global and national regulators and policymakers can be involved by these results when setting social reporting standards because they suggest that institutional and/or cultural factors affect top management's social reporting behavior in the publication of the IC information.

Direct and indirect stakeholders, if supported by ethical and socially responsible behaviors of the company, could assess more in detail the quality of the disclosed information concerning the IC.

Most of the studies that have been conducted in this field have examined the effect of BE and CSR on the firm's overall transparency, neglecting their potential effect on IC disclosure. This study is designed to fill in this gap through testing the impact of ethical and socially responsible approaches specifically on IC-VD.

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.

Evidence from previous literature indicates that adopting a new innovative technology has a positive impact on a company’s business performance. Much less work has been carried out into examining whether a technology adoption has impact on corporate reputation. This paper aims to examine the latter topic in a context where social media is the channel used to share news about the introduction of a new technology. The empirical setting of the study consists of five retail companies located in the USA that decided to include Bitcoin as a payment platform.

Twitter data were used to measure how sharing news about the adoption of new technology could affect the reputation of the companies selected, keeping a clear distinction between the volume of data relating to social media responses and the sentiment expressed in the tweets. A panel vector autoregression model was used to incorporate series of data relating to news items, volume and sentiment.

The results show that the news about the adoption of a new technology has a positive impact on both the volume of tech-related tweets and the sentiment expressed in the tweets themselves, although the patterns of these two effects are different. The resulting impact decreases after a few days, both in volume and in sentiment.

The analysis has limitations that future research could address by extending and diversifying the examined companies and the social media used as data sources. The research suggests that managers in medium-sized companies can leverage on the introduction of new technologies that have a direct impact on their customers and gain reputational benefits in terms of immediate visibility.

The research introduces an additional dimension of analysis to the current stream of corporate reputation. Although the literature has already covered the dynamics of response to events on Twitter, by focusing on the adoption of the new Bitcoin technology, the paper provides novel insights.

The purpose of this study is to identify papers that have produced the most significant impact on research on strategic alliances in the biotechnology industry. The authors attempt to illustrate the thematic evolution of its intellectual structure through 616 papers published between 1992 and 2021.

The present research methodology relies on three distinct techniques, implemented using SciMat software: (1) bibliometric techniques, (2) scientific map analysis and (3) content analysis of research documents from the Web of Science (WoS). In this manner, the authors analyse the intellectual structure of the field of strategic alliances in the biotechnology industry, tracking its evolution over a period of three decades.

The study emphasises the relevance of “innovation” as a key theme and identifies several potential areas for future research, which could serve as a foundation for further investigations.

This study represents a novel contribution to the literature as it is the first to use the SciMat tool to analyse strategic alliances in the biotechnology industry. This research reveals that while strategic alliances have been assessed extensively across various industries, some topics, such as the types and formation of alliances, have not been specifically studied in the biotechnology industry. These areas as well as the barriers and variables influencing the formation of alliances offer promising avenues for future research in this field.

本研究旨在確定對關於生物科技產業內的策略聯盟的探究產生極其顯著影響的學術論文。我們擬透過探討於1992年至2021年期間發表的616篇學術論文，去闡明策略聯盟的知識結構的主題演變。

研究依賴三個不同的技術來進行，並以SciMat 可視化軟件來做具體實施的工作。這三個技術為、(一) 文獻計量技術;(二) 科學製圖分析;和 (三) 就取自 Web of Science 的學術文章而進行的內容分析。我們採用這研究法，對在生物科技產業內的策略聯盟的知識結構進行分析，俾能對有關的知識結構的主題演變進行一個涵蓋三十載的跟蹤調查。

研究強調了創新，並視之為主要的主題的重要相關概念;研究亦確定了一些今後可供研究的潛在領域，這或許會成為進一步研究的基礎。

由於本研究是首個研究、使用SciMat這工具去分析在生物科技產業內的策略聯盟，故就有關的文獻而言，它給予新穎的貢獻。研究結果顯示，雖然策略聯盟已在各個不同的產業裡被廣泛評價，但在生物科技產業裡，一些如聯盟的種類和形成方式等的課題仍未得到適切的研究。這些課題，以及影響著聯盟的形成的障礙和變數，會為這領域內今後的學術研究、提供光明的途徑。

Independent directors are important corporate decision participants and makers. Based on the Chinese cultural background, this paper interprets the listing order of independent directors as independent directors’ status, exploring their influence on the corporate research and development (R&D) behavior.

This paper studies A-share listed firms in China from 2008 to 2018 as the sample. The main method is ordinary least square (OLS) regression. We also use other methods to deal with endogenous problems, such as the firm fixed effect method, change model method, two-stage instrumental variable method, and Heckman two-stage method.

(1) Higher independent directors’ status attribute to more effective exertion of supervision and consultation function, and positively enhance the corporate R&D investment. The increase of the independent director’ status by one standard deviation will increase the R&D investment by 4.6%. (2) The above effect is more influential in firms with stronger traditional culture atmosphere, higher information opacity and higher performance volatility. (3) High-status independent directors promote R&D investment by improving the scientificity of R&D evaluation and reducing information asymmetry. (4) The enhancing effect of independent director’ status on R&D investment is positively associated with the firm’s patent output and market value.

This paper contributes to understanding the relationship between the independent directors’ status and their duty execution from an embedded cultural background perspective. The findings of the study enlighten the improvement of corporate governance efficiency and the healthy development of the capital market.

This paper aims to assess the influence of emotional intelligence (EI) on the perceived internal control performance in the Lebanese companies.

The goal of this study is to decide whether there is a connection between “emotional intelligence” and perceived efficacy of “internal control” in Lebanese organizations. For the benefit and purpose of this research, a quantitative methodology will be applied. The data was collected by the use of self-directed and pre-coded questionnaires to test hypotheses made, making it a deductive research.

The findings showed that the personality traits of the members of the audit team play a key role in cultivating a control climate that is more conducive to effective control. Moreover, personality traits were key in boosting trust and openness in communication that can be seen as antecedents to having a system where all key auditing professionals within the organization can cooperate to boost the effectiveness of the internal control framework. These personality traits amplified the impact of the EI of audit manager on the overall effectiveness of the COSO framework, thus leading to improved efficiency of internal controls.

The exploratory aspect of this study have shown results that are general but create a basis for future comprehensive researches. This study was limited to a relatively small sample, due to the small size of Lebanon and due to the Pandemic that has limited our access to more data. This research did not regulate other relevant variables such as gender, experience, educational level and age. Nevertheless, the importance of the findings is they ascertain that internal control is not a rigid technical function that is primarily concerned with accounting and financial disciplines, rather it extends to organizational psychology and behavior.

The practical implication of studying EM and personality in Lebanese organizations is to describe and understand how it affects the effectiveness of the internal control and thus the survival of the organization. When organizations are aware of such a strong impact, they will try to increase their maturity level in this regard and further seeks more efforts in tackling the EI aspect. As a summary, the practical implication of this paper is to understand how all those variables affect the effectiveness of the internal control and thus the survival of the organization.

The subject of this study consists of many human-related aspects such as personality and human behavior. Once these elements are combined with the internal control framework, it will have an added value at the social level by enhancing the behavior of people and their perception of others' emotions and oneself emotions, in addition to improving their performance which reflects on enhancing the overall organizational performance. Studying EI allows to understand and manage emotions in order to create positive social interactions. The benefits of EI are vast in terms of personal, academic and professional success.

Due to the lack of research on this topic, this research will contribute to explore the field. Future studies will benefit from this analysis while using a larger sample. Future work should aim to include not only auditors but all staff of the company. Further research is required to decide whether the results of this analysis are generalized across various positions and industries and to determine whether EI is the only influential aspect involving a significant number of social interactions. In addition, this article can be used as a basis for the implementation of internal control with a COSO framework that involves the EQ of everyone in the organization.