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Variables affecting the innovation performance (IP) in regional innovation systems (RIS) have been widely studied in developed countries, while little information exists for the case of developing countries. Based on the innovation economics theory, this study aims to examine determinants of IP of organizations within the RIS of Medellin/Antioquia, Colombia (South America).

By using nonparametric statistical analyses, this study tests six research hypotheses through a randomly applied questionnaire, responded by 1,005 organizations belonging to the RIS of Medellin/Antioquia.

Results indicate that the economic sector, firm size, level of interaction with different parties and level of interaction with academic partners have a significant impact on IP in the RIS. Nevertheless, the number of employees in research and development and the adoption of new technologies have no significant effect.

Based on the results, this study identifies innovation determinants that managers and policymakers should consider when formulating strategies to improve organizations’ IP. The result of this paper may provide valuable insights for the study of RIS’ determinants and support further research in similar contexts.

This paper contributes to the limited body of knowledge regarding the variables that impact the IP of organizations in a RIS from a developing country. This paper also examines possible explanations for those hypotheses that were not supported, showing differences between developing and developed countries.

The authors propose the concept of “Autonomic Cycle for innovation processes,” which defines a set of tasks of data analysis, whose objective is to improve the innovation process in micro-, small and medium-sized enterprises (MSMEs).

The authors design autonomic cycles where each data analysis task interacts with each other and has different roles: some of them must observe the innovation process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the innovation process.

In this article, the authors identify three innovation sub-processes which can be applied to autonomic cycles, which allow interoperating the actors of innovation processes (data, people, things and services). These autonomic cycles define an innovation problem, specify innovation requirements, and finally, evaluate the results of the innovation process, respectively. Finally, the authors instance/apply the autonomic cycle of data analysis tasks to determine the innovation problem in the textile industry.

It is necessary to implement all autonomous cycles of data analysis tasks (ACODATs) in a real scenario to verify their functionalities. Also, it is important to determine the most important knowledge models required in the ACODAT for the definition of the innovation problem. Once determined this, it is necessary to define the relevant everything mining techniques required for their implementations, such as service and process mining tasks.

ACODAT for the definition of the innovation problem is essential in a process innovation because it allows the organization to identify opportunities for improvement.

The main contributions of this work are: For an innovation process is specified its ACODATs in order to manage it. A multidimensional data model for the management of an innovation process is defined, which stores the required information of the organization and of the context. The ACODAT for the definition of the innovation problem is detailed and instanced in the textile industry. The Artificial Intelligence (AI) techniques required for the ACODAT for the innovation problem definition are specified, in order to obtain the knowledge models (prediction and diagnosis) for the management of the innovation process for MSMEs of the textile industry.

The literature provides contradictory findings on planning contradictory findings on planning as a success factor in projects which entail high innovation. Nevertheless, new product development (NPD) research has mainly adopted the causation lens, in which planning plays an important role. By embracing the logic of effectuation, the purpose of this paper is to secure a wider perspective concerning how the various NPD options develop, taking into account the role played by uncertainty.

By adopting an inductive approach, the authors attempt to advance existing knowledge on the topic. The qualitative methodology (documentary analysis, content analysis and alternate templates) is adopted for the analysis of four NPD projects in the food industry in Spain.

Results reflect the relevance of the two perspectives considered when explaining the NPD process, with the presence of hybrid behaviour in all the projects and effectuation emerging as the dominant logic in the project linked to a greater degree of innovation and uncertainty.

Projects involving varying degrees of innovation would seem to require different NPD approaches. This paper provides an initial approach to the subject, and it analyses a small number of firms. It is necessary to better understand to what extent the two logics are present in different types of projects.

By incorporating the logic of effectuation, firms might consider using NPD as a means of engaging in projects that entail a higher degree of innovation, since it offers ways of dealing with the uncertainty linked to such projects.

The paper contributes to the still early efforts to apply the perspective of effectuation to the area of NPD, by linking the logics of effectuation and causation to the various NPD processes taking account of their varying degrees of innovation and uncertainty (exploitation, exploration and leverage options).

This study aims to identify the current state, the emergent research clusters, the key research topics and the configuration of collaboration in scientific production related to the market value of soccer players.

This article analyzes 52 articles published between 1985 and 2021 and from the Scopus and WoS databases.

The subject is of growing interest both in academic and practical areas. A variable that frequently appears as a determinant of market value is crowd wisdom. The largest cluster related to the co-citation level shows that the main issues about soccer player market value are player performance, team performance, and the determinants of the superstar formation. Spain and Germany stand out as essential countries both in literary production and citation rate. The network of collaborations is still low.

This study is supported by databases being constantly updated, resulting in continuous variation in the number of indexed journals. Consequently, a bibliometric analysis regarding an emergent topic can, in fewer years, be subject to essential variations. Another limitation is that it has analyzed a particular topic using the most influential databases, and the global perspective could be improved with the incorporation of other different databases. Data regarding collaborations could be helpful for investigations or policies that propose to approach the topic supported by specialized groups. This study offers the possibility for future researchers to extend the databases used, the level of analysis, or focus on specific topics or variables affecting the soccer player market value.

This study contributes to knowing the current state of the soccer player market value research. Studies on such topics are relatively limited concerning the literature review.

The study aims to analyze the effect of the previous preparation and the work carried out in the field during a study trip on the development of competencies in agribusiness students.

The destination was the pineapple area of the Papaloapan Lower Basin in Mexico, and 42 students from 6 different semester levels participated. The students answered a test prior to the trip, received an evaluation for their activities in the field and prepared reports and posters as products of the experience. The relationship between the scores obtained was examined through a comparative analysis.

The findings are framed in the cyclical model of experiential learning with four stages (feeling, watching, thinking and doing) by Kolb (1984). It is found that the acquisition of specific knowledge about what the experience will entail leads to better preparation, motivation and confidence to live the experience (potentiation of feeling and watching). In turn, specific knowledge and better use of experience promote the development of problem solving, interpersonal and communication skills (potentiation of thinking and doing).

Statistical representativeness is not a quality of the study since it is based on a comparative analysis.

The study analyzes an educational component of great value in the business area, about which little is known in the agribusiness subarea.

This study aims to examine the effect of the effectuation set of means on new venture performance in the context of Tanzania’s emerging economy. To determine how new ventures, benefit from the effectuation set of means experienced entrepreneurs possess, this study examines the role of the flexibility principle of effectuation as a key mediator.

The research is quantitative in nature, and a survey questionnaire was used to get data from five cities of Tanzania. In total, 350 samples obtained for analysis. The hierarchical regression and structural equation modeling were used for testing the hypotheses.

The effectuation set of means is affirmed to have a positive effect on new venture performance. The flexibility principle plays a partial mediating role in the relationship between the effectuation set of means and new venture performance.

This empirical evidence contributes to the progress of the theory of effectuation and also provides managerial guidelines for entrepreneurs who operate their new ventures and face uncertain business environments.

The purpose of this paper is to examine smallholders’ preferences and willingness to pay for microcredit products with varying attribute combinations, in order to contribute to the debate on the optimal design of rural microcredit.

Data used in this study are based on a discrete choice experiment from 552 randomly selected respondents. Mixed logit and latent class models are estimated to examine the choice probability and sources of preference heterogeneity. Endogenous attribute attendance models are applied to account for attribute non-attendance (ANA) phenomenon, focusing on separate non-attendance probability as well as joint non-attendance probability.

The results demonstrate that preference heterogeneity and ANA exist in the smallholder farmers’ microcredit choices. Averagely, smallholder farmers prefer longer credit period, smaller credit size, lower transaction costs and lower interest rate. Guarantor collateral method and installment repayment positively affect their preferences as well. Moreover, respondents are found to be willing to pay more for the attributes they consider important. The microcredit providers are able to attract new customers under the current interest rates, if the combination of attributes is appropriately adjusted.

This study contributes to the debate by assessing the preference trade-off of different microcredit attributes more comprehensively than in previous analyses, by taking preference heterogeneity and ANA into account.

This document analyses farmers' preferences and willingness to pay (CAP) for microcredit, in order to facilitate their access in rural areas.

Data are based on a discrete choice experiment with 400 randomly selected farmers from 20 villages of the 7 Benin agricultural development hubs (ADHs). The preference choice modelling was performed using mixed logit (MXL) and latent class logit (LCL) models. Farmers' willingness to pay for each preferred attribute was estimated. The endogenous attribute attendance (EAA) model was also used to capture attribute non-attendance (ANA) phenomenon.

The results indicate that, on average, farmers prefer individual loans, low interest rates, in kind + cash loans, cash loans, disbursement before planting and loans with at least 10-month duration. These preferences vary according to farmers' classes. Farmers are willing to pay higher or lower interest rates depending on attribute importance. The estimate of the EAA model indicates that, when taking the ANA phenomenon into consideration, people will show stronger attitudes regarding WTP for important factors.

Based on these results from Benin, microfinance institutions (MFIs) in developing countries can, based on the interest rates currently charged, attract more farmers as customers, reviewing the combination of the levels of the attributes associated with the nature of the loan, the type of loan (individual or collective), the disbursement period of funds, the waiting period of the loan and the loan duration. However, the study only considered production credit, ignoring equipment or investment credit.

The document provides information on the key factors that can facilitate producers' access to MFI products and services.

Facilitating small farmers' access to financial service will contribute to poverty reduction.

This research contributes to the knowledge of the attributes and attribute levels favoured by farmers when choosing financial products and the amounts they agree to pay for these attributes. The implementation of the results would facilitate small producers' access to financial services; thus contributing to poverty reduction.

The “public interest” of financial institutions was used as an argument to intervene in accounting practices. The Bank of Spain's standard was not compatible with International Accounting Standard (henceforth IAS) 39 and the Spanish banking sector had become one of the most provisioned in Europe. This makes it an interesting case study of the relationship between provisioning and income smoothing. The 2008 financial crisis revealed that provisions were insufficient and a reinforcement regulation process began in 2012. This paper aims to examine whether, since 2012, the Bank of Spain's regulatory effort on impairment accounting standards has induced less income smoothing, correcting its countercyclical effect.

A regression model is applied during the period 2005–2020, to test whether there is a trend change in the correlation between the level of provisions and annual earnings in 2012.

The results show that from 2012 onwards (when the Bank of Spain reinforced the regulation on provisioning), there was a correction in income smoothing behaviour.

This study provides empirical evidence that reinforces the claim that accounting policy can affect decision-making accounting practices, in this particular case, at the Bank of Spain.