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The purpose of this paper is to present a framework for cultivating virtual communities of practice in distributed environments. The framework is based on the integration of knowledge artifacts and wearable technologies.

The proposed knowledge artifact is based on the correlation between conceptual and computational tools for the representation of different kinds of knowledge.

In this way, it is possible to make deeper the collaboration between knowledge seekers and contributors within the community, given that seekers and contributors share, at least in part, design choices at the knowledge modeling level.

A practical application of the framework has been described, to show its originality with respect to traditional knowledge management systems. In particular, it has been demonstrated how lurking phenomenon inside communities of practice can be significantly reduced. To this aim, opportune indexes have been defined from existing ones in literature.

A wearable expert system (WES) is an expert system designed and implemented to obtain input from and give outputs to wearable devices. Among its distinguishing features are the direct cooperation between domain experts and users, and the interaction with a knowledge maintenance system devoted to dynamically update the knowledge base taking care of the evolving scenario. The paper aims to discuss these issues.

The WES development method is based on the Knowledge Acquisition Framework based on Knowledge Artifact (KAFKA) framework. KAFKA employs multiple knowledge artifacts, each devoted to the acquisition and management of a specific kind of knowledge. The KAFKA framework is introduced from both the conceptual and computational points of view. An example is given which demonstrates the interaction, within this framework, of taxonomies, Bayesian networks and rule-based systems. An experimental assessment of the framework usability is also given.

The most interesting characteristic of WESs is their capability to evolve over time, due both to the measurement of new values for input variables and to the detection of new input events, that can be used to modify, extend and maintain knowledge bases and to represent domains characterized by variability over time.

WES is a new and challenging concept, dealing with the possibility for a user to develop his/her own decision support systems and update them according to new events when they arise from the environment. The system fully supports domain experts and users with no particular skills in knowledge engineering methodologies, to create, maintain and exploit their expert systems, everywhere and when necessary.

The purpose of this paper is to investigate the relations in the Marketing/Operations interface through the analysis of data of the operational reality of a Brazilian company with a low technological intensity. The study aims to quantify and determine the impacts of marketing decisions on delivery performance and on flexibility of the operations area.

A longitudinal case study was conducted and the variables used in the model were derived from established theories and were evaluated with artificial neural networks. The case of a food manufacturing company was selected to reflect the relations in the marketing/operations interface of a low technological intensity enterprise.

The results show that the decisions on Place/Channel, Price and Product dimensions of marketing exert a significant impact on flexibility and delivery performance of the operation area.

The findings of the case study cannot be generalised and the outcomes are specific to just one firm. However, the approach lends itself to replication, particularly within low technological intensity companies.

Prior studies have focussed on coordination among functional areas as marketing and operations at higher levels of abstraction. The study contemplate empirical propositions through the data analysis of a company with a low technological intensity that can be used to improve managers' decisions and alignment in the Marketing/Operation Interface.

Football is significant in the global economic context. However, the same significance is not identified in the value added to the chain, as the elements that make it up act in a disintegrated and independent manner with undesired effects. Consequently, it is necessary to structure the undesired effects to seek the basic causes that sustain this problematic situation. Thus, this paper aims to use a CRT to structure the undesired effects and basic causes that limit the positive economic impacts of the south Brazilian football value chain.

A semi-structured questionnaire was applied with questions about the existing constraints. Based on the answers in the interviews, the current reality tree was elaborated, premised on identifying the basic causes that sustain the undesirable effects detected.

Among the main results, it was identified that management problems of the traditional leaders of football clubs and federations are considered the main reason why south of Brazil football cannot fully exploit its economic potential.

It is evidenced that the paper shows the undesired effect that has the most impact on the development of this chain, and it is important to propose improvements to its root causes, aiming at greater efficacy of the resulting actions.

Drum-Buffer-Rope (DBR) is a method to adjust production flows, synchronize the release of materials and enable a process of focused improvement in production systems. Literature on DBR applications in engineer-to-order (ETO) production systems, where customers participate in product design decisions and, consequently, in the way production is planned and executed, is rare. However, the interest in improving production management in ETO systems has received attention from the scientific and business communities. The goal of this research was to evaluate the implementation of DBR in an ETO productive system, critically analyzing the necessary adaptations for its use.

This research was conducted through a case study in a company that manufactures electronic equipment, known as avionics, in the aerospace sector.

In this context, the contribution of this study consists of evaluation of the implementation of DBR in an ETO productive system, describing the implementation and the necessary adaptations of the DBR to the ETO productive system explored, comparing it with the DBR theoretical proposals and Simplified Drum-Buffer-Rope (S-DBR) methods.

The study contributes to knowledge by expanding the field of the DBR application to make it more precise, and by applying the theory of constraints, in a general manner, to this type of productive environment.

The purpose of this study is to evaluate the efficiency of a Brazilian steelmaking company’s reheating process of the hot rolling mill.

The research method is a quantitative modeling. The main research techniques are data envelopment analysis, TOBIT regression and simulation supported by artificial neural networks. The model’s input and output variables consist of the average billet weight, number of billets processed in a batch, gas consumption, thermal efficiency, backlog and production yield within a specific period. The analysis spans 20 months.

The key findings include an average current efficiency of 81%, identification of influential variables (average billet weight, billet count and gas consumption) and simulated analysis. Among the simulated scenarios, the most promising achieved an average efficiency of 95% through increased equipment availability and billet size.

Additional favorable simulated scenarios entail the utilization of higher pre-reheating temperatures for cold billets, representing a large amount of savings in gas consumption and a reduction in CO2 emissions.

This study’s primary innovation lies in providing steelmaking practitioners with a systematic approach to evaluating and enhancing the efficiency of reheating processes.

The purpose of this paper is to analyze the productive efficiency and the best operational practices in an armaments manufacturer.

A longitudinal case study is performed using data envelopment analysis (DEA). Using DEA, an assessment of six years in the company manufacturing process is conducted. The research aims at developing an internal benchmark on three production lines of the company.

The results show that only one of the three analyzed production lines increased efficiency over time. With this result, the most efficient production line may be used as a reference in relation to the best operational practices of the company. Moreover, it was found that the current indicators to evaluate efficiency are insufficient and may lead to wrong management decisions.

This research could allow a larger understanding of the factors that really contribute to increased operational efficiency. This is due to internal benchmark assist in the identification of the best practices. The identification of best practices can contribute to enhance the efficiency of inefficient operations without the need for external comparisons.

DEA contributes due to its robustness, for the evaluation of productive efficiency. One of the contributions of this study is to identify opportunities for improvement in key components of the operation through targets, internal benchmarking and robust assessment of productive efficiency.

Psychological assessment refers to the process whereby different methods and techniques are used to test hypotheses about people and their psychological characteristics. Understanding employees' psychological makeup is key to allow effective human resource management, from hiring to retirement. However, the gap between scientific evidence and organizational practices dealing with psychological assessment is still great.

General review along with case study

This paper shows the differences between research and practice, i.e. between what scientific evidence suggests to assess people from a psychological point of view reliably and what practitioners do when they want to reach the same goal.

At the end of the article, two examples of integration between research and practice are presented. We discuss how methods and techniques of psychological assessment can be developed to both respect scientific criteria and meet specific organizational needs.

This paper aims to examine the role of tourist-generated and other network relationships in small Italian wineries’ internationalization.

It is based on 14 cases of which four are discussed in detail. All 14 cases are summarized in two tables and analyzed in the Discussion section.

Most firms did not pre-plan their foreign activities. International wine tourism was a major source for creating the contacts necessary for their internationalization: they created relationships/networks in tourists’ home markets and, as a result, expanded there either through selling directly to tourists or to the importers they recommended. In addition, they relied on contacts created at trade fairs or by friends/relatives. Some internationalization attempts failed, as the firms were passive and lacked long-term strategic plans. Thus, these producers have not fully realized the potential of wine tourists’ contacts and other network relationships in their internationalization.

It shows how wineries benefited from tourists’ networks and other co-operative relationships and how, as a result, they started exporting, but also which problems they faced. These topics have not received considerable research attention yet.

Decision-making competence (DMC) of entrepreneurs and managers is a longstanding topic in this increasingly globalized world. These figures operate in conditions not within their own control, and good levels of DMC are often considered to be desirable for the flourishing of business and society. This paper reports an empirical investigation on the DMC of entrepreneurs and managers, in an attempt to inform about their tendencies to incur in risky and costly choices.

Three cognitive biases associated with operational strategies and individual characteristics of entrepreneurs and managers, namely under/overconfidence (UOC, i.e. self-confidence in taking decisions), resistance to sunk costs (RSC, i.e. propensity to take cost investments) and consistency in risk perception (CRP, i.e. how well individuals understand probability rules) were considered . Cognitive biases measures were used in a cross-sectional study on a sample of n = 639 entrepreneurs and n = 512 managers. Data collected via online survey were analyzed using descriptive statistics and inferential statistics to determine differences among entrepreneurs and managers DMC.

Analyses reveal that entrepreneurs exhibit higher levels of UOC compared to managers with a marked presence of UOC among entrepreneurs at younger ages. Conversely, performance regarding RSC improves with higher education levels while age and RSC are positively correlated only for managers, regardless of education. Lastly, entrepreneurs and managers resulted as not being affected by CRP. This study discusses these results to provide initial insights for further avenues of research and practice.

The study offers an innovative, evidence-based viewpoint on how entrepreneurs and managers deal with risky and costly decisions. It offers an initial understanding of the role of UOC, RSC and CRP, that is specific cognitive biases associated with operational strategies and individual characteristics, in the DMC of these working figures. The study forwards avenues of scrutiny of quick-witted entrepreneurs and systematic managers.