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This research is located at the intersection of communication, memetics, and the study of the imaginary. As a presupposition, we put forward the existence of a communicational imaginary, in which the contemporary person functions through their competencies in social networks, by meeting the demands of the public and the private, managing the obsessiveness of the sharing of intimacy and the exorbitant number of images. Considering memes as a significant aspect of this communicational imaginary, we seek to understand the dynamics and path of memes in the midst of this plethora of images. From the concept of iconophagy, we deal with the exacerbated multiplication of the images and the path of memes starting from a marginalized environment until it is integrated into social roles and a rational level of thought. Thus, it is the general objective of this research to understand the dynamics and the path of memes amidst the plethora of images in the context of communicational imagery and to investigate the multiplication of memes as representative of the myriad images in contemporary imagery.

This study aims to review family business branding research, elaborate a new framework integrating family business branding and corporate brand management literature and finally identify future research directions.

A bibliometric analysis was conducted to present the main research topics within family business branding.

The contributions of this study are threefold. First, this study maps the main themes of family business branding research and highlights its fragmented nature. Second, this study proposes an overarching framework based on signaling theory, attempts to bridge the family business branding and corporate brand management literature and provides a lead for future research. Third, this study stresses the role of brand construct in family business branding.

This study represents an important step in the identification of a new theoretical framework that best fits the investigation of family business branding.

Most studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.

A systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.

Results show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.

This study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.

Co-operative managers must invest appropriately to strengthen member relationships, such as by initiating corporate social responsibility (CSR) actions or providing members with more relational benefits. This paper aims to investigate how members’ motives (collectivistic vs individualistic) might influence the effectiveness of these investments in terms of enhancing members’ trust and loyalty intentions.

This research combines an exploratory approach, based on six focus groups, with a confirmatory approach based on a field study and two scenario-based experiments.

Members tend to regard the two motives in contest and infer a “more CSR versus more benefits” arbitration effort by co-operatives, such that they appear to prioritize one motive over the other. Members with individualistic motives principally support co-operatives’ arbitration toward relational benefits, so the positive effects of CSR initiatives on their trust and loyalty intentions are weaker (Study 1). Both CSR and relational benefits can be more or less efficient, depending on members’ motives (Study 2).

Reflecting their contrasting motives, members infer arbitration by co-operative managers, reflected in their “more CSR versus more benefits” belief. This insight and the related implications for trust and loyalty intentions have not been addressed in prior research.

Managers can avoid the negative consequences of “more CSR versus more benefits” inferences by ensuring a good fit between their investments and their members’ prevailing motives. If members have more collectivistic (cf. individualistic) motives, CSR initiatives (cf. relational benefits) enhance their trust and loyalty intentions more effectively.

This research builds on previous work on members’ relationships within co-operatives and on members’ motives. Results find that the effectiveness of co-operatives’ investments to strengthen members’ loyalty intentions depends on members’ prior motives.

While books and periodicals dominate the collections of most libraries, they do have a poor second cousin. Pamphlets and vertical file material have worth and value to a library (no matter what that library's size, function, or type); but this value may not always be recognized. A primary source of information on many pamphlets and vertical file‐like material is the Vertical File Index (hereafter sometimes referred to as the VFI or the index), a selection and collection‐building tool in existence for over fifty years. While the index does include references to items like Baby Shower Fun, Turn to Sandwiches, and Versatile Vinegar, it is not replete with such items.

The purpose of this paper is to investigate how a local trade union improves living conditions for women entrepreneurs in India and how its activities have evolved over time.

The authors conducted a longitudinal case study of the self-employed women’s association (SEWA) in India. Founded in 1972, this organization fosters and supports women’s entrepreneurship. The approach of this study combines qualitative face-to-face interviews and secondary data analysis.

The findings highlight the fact that SEWA, which combines the features of a trade union and a social movement, improves women’s conditions in several different ways. The study shows that the organization’s main role has evolved from creating a community to expanding it and finally to becoming an agent of societal change.

The study contributes to the literature by analyzing how locally grown organizations fight social exclusion and improve the conditions of deprived groups in emerging economies.

Anthologies are an important contribution to literature from small presses. They are often collections with a theme used as a way of introducing new writers and new subjects. Small presses usually showcase the work of a wide range of writers from many cultures. The anthologies in this column reflect this tradition.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

The state of Mato Grosso represents the largest producer and exporter of soybeans in Brazil; given this importance, it was aimed to propose to use the univariate imputation tool for time series, through applications of splines interpolations, in 46 of its municipalities that had missing data in the variables soybean production in thousand tons, production value and soy derivatives in R$ thousand, and also to assess the differences between the observed series and those with imputed values, in each of these municipalities, in these variables.

The proposed methodology was based on the use of the univariate imputation method through the application of cubic spline interpolation in each of the 46 municipalities, for each of the 3 variables. Then, for each municipality, the original series were compared with each observed series plus the values imputed in these variables by the Quenouille test of correlation of time series.

It was observed that, after imputation, all series were compared with those observed and are equal by the Queinouille test in the 46 municipalities analyzed, and the Wilcoxon test also showed equality for the accumulated total of the three variables involved with the production of soybeans. And there were increases of 5.92%, 3.58% and 2.84% for soy production, soy production value and soy derivatives value accumulated in the state after imputation in the 46 municipalities.

The present research and its results facilitate the process of estimates and monitoring the total soy production in the state of Mato Grosso and its municipalities from 1990 to 2018.