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The purpose of this study is to understand the effect of governance structure alignment, property rights protection, and reputation in generating efficiency in dairy agro-industrial system in Paraná, Brazil, and Midi-Pyrénées, France.

Descriptive qualitative research, comprising semi-structured interviews with producers, processors and key agents of the dairy agrindustrial system in Brazil and France, in 2016/2017.

As a result, it was identified that measurement generates information about transacted dimensions and when it is shared can generate affect reputation in transactions that leads to system improvement. It was also observed that, in the dairy agro-industrial system, reputation acquired does not reduce all the measurement costs, as the product requires measurement in each all collection, regardless of the reputation created.

As a limitation of the study, there is a difference in the moments when the interviews were done. In 2016, in France, the context was low prices, while in 2017, in Brazil, there was a rise in prices. This difference could have influenced some responses to the interviews, mainly about efficiency by producers.

Reputation, protecion of property rights by measurement and information sharing allows reduction costs (transaction, measurement and negotiation costs). This efficiency implies improvement to the system, in cases of milk producers and processors.

Improvements in the dairy system can have repercussions on several other improvements such as better distribution of income among agents in the chain; better-paid producers, which implies the improving quality of lives of these people; better products offered to consumers.

From a complementary perspective of transaction cost economics and measurement cost economics, reputation and protection of property rights are discussed with a focus on efficiency. Empirically, the paper contains heterogeneous data collected from two countries: Brasil and France.

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.

The gap that this research attempts to fill is to analyse the explanatory factor “industry” when assessing the reputation of a corporate group. In other words, this research attempts to demonstrate the impact of the “industrial halo” on the assessment of corporate reputation, given that, to date, the academic literature has not considered industry as an explanatory variable in the assessment of the reputation of private companies.

A sample of 43 Spanish companies was used to analyse the relationship between the reputation of firms as measured by the Merco Empresas index, and the industries to which they belong, after controlling for company performance, size, turnover, public recognition of their leadership, and corporate responsibility. This involved conducting a cross-sectional analysis of the relationship between the variables for each year in the time period from 2005 to 2016. The available data were taken from the firms' annual financial reports and websites, as well as from the Merco.

The paper shows the existence of industrial halos that account for the corporate reputation of businesses in Spain. It is also shown that industrial halos are not permanent over time, and that they tend to occur in years of crisis.

It would have been desirable for this study to have had sufficient data to include other industries, but this was not possible. As for possible extensions, in addition to expanding the period considered, other analytical techniques, such as panel data models, could be applied to allow comparison with the results obtained here.

The results of this study have some practical implications. Firstly, firms that publish corporate reputation rankings should be aware of the distortion that the industrial halo can produce, especially in times of uncertainty, and seek to correct for it in their measurements. And secondly, corporate groups themselves should assume that the reputation of the industry affects their individual reputation, and consequently, they should see the other companies in the industry not only as competitors but also as “reputational allies”. They should therefore make collective efforts to improve in this respect, especially in the face of reputational crises.

This paper provides a better understanding of the relationship between the reputation of a company and the industry to which it belongs, and of its permanence over time. This relationship has been little studied in the Spanish market to date.

本研究擬分析當企業集團的信譽被評估時的解釋性因素-行業,以填補現時的研究缺口。具體來說,研究人員鑒於學術文獻至今仍未於評估私營企業的信譽時、把行業當作是一個解釋變量來看待,故擬進行研究、以顯示行業光環在評估企業信譽時所產生的影響。

研究使用的樣本為43間西班牙公司。研究人員分析以Merco Empresas 指數來測量的公司信譽與公司所屬行業之間的關係。有關的分析調控了公司的業績、規模、營業額、企業責任、以及企業領導能力的公眾認可程度所帶來的影響。研究人員對有關變量間的關係進行橫向分析 分析於2005年至2016年期間年度性地進行。現有數據取自有關公司的年度財務報表和其網站,也有取自Merco的。

研究結果表明了可解釋西班牙企業信譽的行業光環是存在的。研究結果亦顯示、行業光環不是永恆的,而且,行業光環往往會在營運極其困難的年度內出現。

本文讓我們更深入瞭解公司信譽與公司所屬行業之間的關係,以及其在時間上的永恆性。就這相關的關係而言,探討西班牙市場的研究至今為數不多。

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 study aims to explore the influence of conscious business practices (CBPs) on the reputational capital (RC) of SMEs with the generation of the manager (X/Y) as a moderator of such relationships.

The authors conducted empirical research based on a cross-sectional survey on 115 Western Mexican SME managers using PLS structural equation modeling to test the proposed hypotheses.

SMEs RC is nurtured by adopting two CBPs. The effect on RC may differ according to managers’ generation. In Western Mexican SMEs, Gen X managers perceive that a higher purpose is more important for building RC, while conscious culture comes first for millennials.

The generalisability of the findings is decreased, given that the study relied on convenience and non-probabilistic sampling in one economy. The lack of previous studies on SMEs, and the difficulty in conducting research in an emerging economy, gives the findings an importance in furthering research.

It contributes to strengthen SMEs’ RC through CBPs.

It broadens the perspective of SMEs in emerging economies to adopt CBPs for increasing their RC. This relationship varies depending on the managers’ generation.

The study used the quantitative approach to explore the perception of Mexican Gen X managers and millennials on the relationship between CBPs and their effects on RC.

Brands are relevant to multiple stakeholders and, as such, can have multiple meanings. Drawing on branding and stakeholder marketing theory, the purpose of this study was to provide in-depth insights into knowledge dynamics related to the so-called family business brand across different stakeholder perspectives.

This study combines advanced brand concept mapping (BCM) with a scenario technique to graphically capture consumers’ and jobseekers’ brand knowledge related to the family business concept in the form of association networks.

Findings show both a shared core meaning (e.g. associations such as “tradition” or “owner-managed”) and stakeholder-specific associations (e.g. consumer perspective: “high product quality,” “handmade”; jobseeker perspective: “appreciation within the company,” “outdated”). Significantly, the results reveal detailed insights into cross-stakeholder knowledge dynamics regarding the associations’ interconnections, strength and favorability.

By combining BCM with a scenario technique, this study adopts an approach that is aimed at better understanding and comparing brand knowledge with respect to the family business brand across multiple stakeholder perspectives. Given the prevalence of family businesses, this research enhances the theoretical and practical understanding of a branding resource that is often available but rarely exploited.

This paper aims to examine the moderated mediation effect of the lack of students’ socialization (as one of the COVID-19 consequences) and the university reputation on the relationship between the service innovation and students satisfaction. The relationship between students satisfaction and their loyalty is also examined.

This study adopts a quantitative research approach, whereas the study population consists of all universities’ students in Lebanon. Data were collected from 201 students, elected depending on snowballing sample technique. A questionnaire was used to gather data, whereby partial least squares structural equation modeling was used to check the proposed scales validity and the relationships between the study variables.

The findings reveal a significant direct effect for university’s service innovation on students satisfaction and an indirect effect through the mediation role for university reputation. Moreover, an evidence for weak negative significant effect for lack of socialization on students satisfaction exists. Whereby, lack of socialization does not moderate the relationship between university service innovation and students satisfaction. Finally, students satisfaction has a significant positive effect on their loyalty.

This paper advances the service innovation literature in the higher education sector. In addition, the paper might be the first paper to address the influence of lack of socialization as one of the COVID-19 consequences on students satisfaction. Furthermore, areas for future research are suggested.

The purpose of this study is to examine the relationship between corporate reputation and earnings quality. This study uses a sample of 1,092 firm year observations from 273 firm listed companies on the Indonesia Stock Exchange from 2013 to 2016, except for the financial industry. We uses a public measure, “100 Top Emiten” by Investor magazine, as a proxy for corporate reputation, while earnings quality is measured by calculating the absolute value of discretionary accrual. Growth of assets, firm size, leverage and profitability are used as control variables in this study. Multiple linear regression analysis is used to test the research hypothesis. The results of the regression in this study indicate that corporate reputation has a positive and significant relationship with earnings quality. This indicates that a reputable company will be encouraged to produce an earnings quality in an effort for the company to maintain investor confidence in the company, so that the company's image and reputation can be maintained. Earnings management in this study was calculated using cross-sectional method instead of time series method. Cross-sectional method is a method by comparing the financial data of a company with a company or other similar industries, whereas the time series method uses the comparison of financial data in a period with the previous period by analyzing what happens behind the trend figures on a company.