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The purpose of this paper was to determine the nutritional quality of the surimi and kamaboko obtained from mechanically separated chicken meat and evaluate the bioavailability of essential amino acids found in these products.

The mechanically separated chicken meat (MSCM) was characterized by the proximate composition, and the surimi and kamaboko were characterized by in vitro digestibility, determination of chemical score of amino acids and apparent bioavailability.

The MSCM contains 68.1 ± 0.5, 12.9 ± 0.24, 18.5 ± 0.28 and 0.6 ± 0.06 per cent moisture, protein, lipids and ash, respectively. The moisture of the MSCM (surimi) was 80.45 ± 0.15 per cent, and the protein was 10.04 ± 0.21 per cent. The highest digestibility was found for the kamaboko (92.27 per cent) which was heat-treated and the lowest was for surimi (90.82 per cent). Histidine is a limiting amino acid. In this study, the surimi showed 84.69 per cent and the kamaboko presented 81.31 per cent of the minimum requirement for adults. In relation to the apparent bioavailability, there was a decrease of surimi to kamaboko of 2.52 per cent of the limiting amino acid histidine. The surimi and the kamaboko presented 76.94 and 75 per cent of the minimum requirement for adults, respectively.

The application of the surimi technology in the production of a surimi-like material from mechanically deboned chicken meat provides a new approach toward increasing its value and utilization, e.g. for the development of meat-based products and analogs, as alternative protein sources, the surimi and the kamaboko exhibited a high content of essential amino acids, indicating that the protein has a relatively high nutritional quality.

The purpose of this study was to isolate Whitemouth croaker protein by alkaline solubilization process and evaluate their nutritional quality to evaluate the bioavailability of essential amino acids.

The proximate composition, essential amino acid composition, in vitro digestibility, apparent bioavailability, chemical score of amino acids and SDS-PAGE were determined for the isolated croaker proteins.

The isolated protein showed a high level of protein 92.21 percent and low amount of lipids 0.57 percent. The protein is rich in lysine and leucine, 108.73 and 96.75 mg/g protein, respectively. The protein isolate had high digestibility, 94.32 percent, which indicates proper utilization of this protein source, while the tryptophan had lower bioavailability (12.58 mg amino acid/mg protein). The high chemical scores were found for the amino acids lysine, methionine+cysteine (6.79 and 5.14). SDS-PAGE of proteins extracted showed appearance of the heavy chain of myosin (220 kDa), actin (50 kDa) and other fractions, with molecular weight between 20 and 50 kDa, such as troponin I, C and T.

The products obtained from croaker muscle can be incorporated as a high value supplements in human diets. The isolated protein exhibited a high content of essential amino acids and digestibility, indicating that the protein has a high nutritional quality.

Strategic Planning for family businesses.

MBA family businesses courses and/or executive education courses that focus on family businesses. The case can be used in introductory sessions related to family business strategy.

This case tells the story of two generations of coffee plant growers at Hacienda Flandes in Colombia’s coffee region. It describes external and internal factors that affected the family business from 1970 to 2013. The case presents antecedents and consequences of environmental circumstances and family members’ decisions that drive this business from boom to decline and later on to its potential reinvention. Through an analysis of this family-owned coffee plantation across generations, students are expected to understand the importance of strategic planning in family businesses, in a changing and competitive environment. Family businesses in emerging economies are the most common type of businesses. In Latin America, most of family businesses might be younger than those in Europe and even in North America. Therefore, family businesses in these economies can be going through or will soon go through a succession. Succession success rate is low, regardless of the culture or country in which the family business develops. This case deals with the preparation (or lack of preparation) of the next generation in family businesses management and its consequences and helps students suggest alternatives and better decisions to run family businesses in an emerging economy.

Students will be able to know and explain the concept of a family business as a dynamic system: firm, family and individuals, each one with actions and outcomes; analyze opportunities for and threats to family businesses across generations; and formulate strategies that balance business and family demands.

The teaching note has specific reading materials to support class discussion.

While academics and practitioners increasingly recognize the impacts of gamification on customer experience (CX), its role in the customer journey remains undeveloped. This article aims to identify how gamification can leverage each customer journey stage, integrate the findings into a conceptual model and propose future research opportunities.

Since CX and customer journey are interrelated concepts, the authors rely on CX research to identify research themes that provide insights to propose the conceptual model. A systematic review of 154 articles on the interplay between gamification and CX research published from 2013 to 2022 was performed and analyzed by thematic content analysis. The authors interpreted the results according to the service customer journey stages and the taxonomy of digital engagement practices.

This article identified five main thematic categories that shape the conceptual model (design, customer journey stages, customer, technology and context). Gamification design can support customer value creation at any customer journey stage. While gamification can leverage brand engagement at the pre-service stage by enhancing customer motivation and information search, it can leverage service and brand engagement at the core and post-service stages by enhancing customer participation and brand relationships. Moreover, customer-, technology- and context-related factors influence the gamified service experience in the customer journey.

This article contributes to a conceptual integration between gamification and customer journey. Additionally, it provides opportunities for future research from a customer journey perspective.

This paper tries to find out the different research fronts that have recently defined the scientific area of organizational studies. These fronts represent the paradigms or theories that the current research in the most relevant journals is based on. A study of how trends develop in those journals is also done. Quite different from other typologies, this work has used an empirical method of analyzing the literature references found in the articles published in some of the most relevant journals in this field in recent years.

Automatic categorisation can be understood as a learning process during which a program recognises the characteristics that distinguish each category or class from others, i.e. those characteristics which the documents should have in order to belong to that category. As yet few experiments have been carried out with documents in Spanish. Here we show the possibilities of elaborating pattern vectors that include the characteristics of different classes or categories of documents, using techniques based on those applied to the expansion of queries by relevance; likewise, the results of applying these techniques to a collection of documents in Spanish are given. The same collection of documents was categorised manually and the results of both procedures were compared.

There has been a growing concern about air quality because in recent years, industrial and vehicle emissions have resulted in unsatisfactory human health conditions. There is an urgent need for the measurements and estimations of particulate pollutants levels, especially in urban areas. As a contribution to this issue, the purpose of this paper is to use data from measured concentrations of particulate matter and meteorological conditions for the predictions of PM₁₀.

The procedure included daily data collection of current PM₁₀ concentrations for the city of São Carlos-SP, Brazil. These data series enabled to use an estimator based on artificial neural networks. Data sets were collected using the high-volume sampler equipment (VFA-MP10) in the period ranging from 1997 to 2006 and from 2014 to 2015. The predictive models were created using statistics from meteorological data. The models were developed using two neural network architectures, namely, perceptron multilayer (MLP) and non-linear autoregressive exogenous (NARX) inputs network.

It was observed that, over time, there was a decrease in the PM₁₀ concentration rates. This is due to the implementation of more strict environmental laws and the development of less polluting technologies. The model NARX that used as input layer the climatic variables and the PM₁₀ of the previous day presented the highest average absolute error. However, the NARX model presented the fastest convergence compared with the MLP network.

The presentation of a given PM₁₀ concentration of the previous day improved the performance of the predictive models. This paper brings contributions with the NARX model applications.

The purpose of this paper is to identify how consumer engagement practices shape the dynamics of a soccer club virtual brand community.

A netnographic approach was employed. Using a Python script, more than 7,000 tweets about São Paulo FC soccer club on Twitter were collected and analyzed using the Virtual Brand Community Engagement Practices typology.

The dynamics of engagement relies on two types of practices: those that comprise the actions of tweeting, retweeting, replying to, mentioning and liking messages from and about the São Paulo FC soccer club profile and those derived from the proposition of Hollebeek et al. (2017). Given the dynamics of Twitter, some practices have performed differently than the original proposal, resulting in a slight adaptation of the framework.

Given the length and the netnographic nature of this study, its findings should be considered exploratory. Future studies can build upon the ideas presented here by researching different contexts and focal objects of engagement.

This paper provides the refinement of social media strategies and content development to make them more efficient and to establish a relevant communication channel with audiences. This knowledge can contribute to a better understanding of goals and metrics.

This paper is based on the behavioral nature of engagement in virtual brand communities, which is an increasing topic of interest. To date, few studies have examined online engagement using a practice approach specifically in the sports marketing context.

Destination management is in urgent need of analytical and policy tools, and even more so in the context of tourism for development programs. Understanding both structural elements and dynamic processes are essential. This chapter describes a model of destinations which considers three types of structural components: factors/resources, attractors (of tourism demand), and support systems. It analyzes as well the optimizing behavior of destination stakeholders, both endogenous and exogenous, as a way to understand destination dynamics. The model can be applied in the strategic positioning of destinations as well as in achieving competitiveness and sustainability—ultimately contributing to development—through tourism policy plans and governance processes. The model was born in the context of a European Eureka–ComTur research project, and has been tested in a variety of destinations.