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This article explores a particular on-demand fabrication unit, the microfactory (MF). It identifies and contrasts several MFs and proposes a taxonomy. This research also explores online manufacturing platforms (OMP) that complement certain MFs.

This research implements a multiple case study (71 cases in 21 countries), triangulating data available on the web with interviews, virtual/physical tours and experiential research.

The results suggest that automation and openness are the main dimensions that differentiate the MFs. Using these dimensions, a taxonomy of MFs is created. MFs with relatively low automation and high openness tend to be innovation-driven microfactories (IDMFs). MFs with high automation and low openness levels tend to be customization-driven microfactories (CDMFs). And MFs with relatively low automation and low openness tend to be classic machine shops (MSs). There are two types of OMP: closed (COMPs) and multisided (MOMPs). MOMPs can be low-end or high-end.

In a world where online platforms are becoming central to the reinvention of manufacturing, multisided online platforms and small fabricators will become strongly symbiotic.

This paper offers a clearer conceptualization of MFs and OMPs, which may help to better understand the reality of local on-demand fabrication. Moreover, it explores a new type of experiential research, which tries to describe and interpret firms through transactional activities. Many details of a firm that are difficult to capture via interviews and netnography can be revealed this way.

The purpose of this paper is to explore the microfactory model, the elements that enable it and its implications. The authors argue that microfactories reduce the risks and costs of innovation and that they can move various industries toward more local, adaptive and sustainable business ecosystems.

This conceptual paper explores several processes and practices that are relatively new; hence, it uses online secondary sources (e.g. interviews with CEOs, videos, blogs and trade magazine articles) extensively.

Given its versatility and high automation levels, the microfactory model can fill the gap between artisanal and mass production processes, boost the rate of innovation, and enable the local on-demand fabrication of customized products.

Currently, manufacturers generally need to make large investments when launching a new product, despite high uncertainty about customer acceptance, thus risking considerable losses. The microfactory model offers a safer alternative by allowing a firm to develop and fabricate new products and test their acceptance in a local market before mass producing them. Microfactories also enable the local on-demand fabrication of highly customized products.

This paper contributes to the discussion on the economic advantages and disadvantages of scale and scope, which have been insufficiently explored in the digital domain.

The main objective of this paper is to introduce the development of a decision‐support environment for a complex problem: space range safety. Simulation modeling can provide a good environment to support range safety managers.

The paper describes the different models and the processes to find the different knowledge sources. In addition, it investigates statistically the most important factors. This will help determine emergency management procedures and sources of variability.

This case study provides guidance and an example to follow for other problems in aerospace (in particular new the analysis of new vehicles). There are important factors to consider in order to implement risk management in National Aeronautics and Space Administration.

There are several limitations; blast and debris effects need to be added.

First, it provides a guide in order to persuade managers of the utilization of decision‐support systems based on geographical information systems. Second, it shows that there is open source software (Calpuff in our environment) which can be used and integrated to make a more comprehensive environment. Validation is a big issue. In addition, simulation can help make decisions about future vehicles or events.

This is the first implementation of a virtual range (there is not an integrated system similar to this one available). This will be valuable to other safety managers not only for space exploration but also environmentalists and homeland security managers.

The main objective of this paper is to introduce the development of a decision‐support environment for space range safety. Simulation modeling can provide a good environment to support disaster and prevention management.

The paper describes the different models and the processes to find the different knowledge sources. This will help determine emergency management procedures.

This case study provides guidance and an example to follow for other problems in aerospace. There are important factors to consider in order to implement risk management in NASA.

There are several limitations; first debris effects need to be added.

First, the paper provides a guide in order to persuade managers of the utilization of decision support systems based on geographical information systems. Second, it shows that there is open source software which can be used and integrated to make a more comprehensive environment. Validation is a big issue.

This is the first implementation of a virtual range. This will be valuable to other safety managers not only aerospace but also environmentalists and homeland security managers.

The aim of the current study is to use a city case study from Costa Rica to evaluate the Nash equilibrium point and Anna Karenina Principle in relation to community-based tourism (CBT), collaborative destination marketing (CDM) and strategic destination branding (SDB) – all of which require similar facilitators and suffer from similar inhibitors.

The study combines a case study approach with in-depth interviewing of local business stakeholders as the aim is to reveal a specific event in a specific setting.

In-depth interviews with local tourism product and service suppliers provided evidence that numerous deficiencies stem from the lack of collaborative destination marketing and branding in Costa Rica. This undermines the Nash equilibrium, namely successful CBT marketing and branding.

The results support the theory that the success (i.e. Nash equilibrium) or the failure situation (i.e. Anna Karenina Principle) in CBT – similar to CDM and SDB – depend on similar critical factors, including a shared vision, all-inclusive stakeholder involvement and participation; and cooperation and collaboration.

Results indicated an urgent need for governments, donor organizations, universities and NGOs to partner to collectively develop campaigns and educational and training programs for human and social capital development.

This study integrates sustainable tourism, tourism development, poverty alleviation, community-based tourism (CBT), collaborative destination marketing, strategic destination branding (SDB), Nash equilibrium and Anna Karenina Principle to explain the successful application of community-based tourism, which has not been previously reported.

In 1969, Warren Nutter left the University of Virginia Department of Economics to serve as the Assistant Secretary of Defense for International Security Affairs in the Nixon administration. During his time in the Defense Department, Nutter was deeply involved in laying the groundwork for a military coup against the democratically elected president of Chile, Salvador Allende. Although Nutter left the Pentagon several months before the successful 1973 coup, his role in Chile was far more direct than the better-known cases of Friedrich Hayek, Milton Friedman, James Buchanan, and Arnold Harberger. This chapter describes Nutter’s role in Chile policymaking in the Nixon administration. It shows how Nutter’s criticisms of Henry Kissinger are grounded in his economics, and compares and contrasts Nutter with other economists who have been connected to Pinochet’s dictatorship.

The purpose of this paper is to analyze the relationships among two types of information technology (IT) resources (technological IT and managerial IT resources), the intrapreneurship culture and firm performance.

The paper is consistent with the perspective on IT‐enabled organizational capabilities. A proposed research model and hypotheses are tested using cross‐sectional survey data from a sample of 203 leading Spanish firms.

Data analysis shows that intrapreneurship culture is a valuable key capability that predicts firm market performance; both technological IT and managerial IT resources have a positive effect on the development of an intrapreneurship culture in the firm, and investment in both technological IT and managerial IT resources influences firm performance positively by means of the capability of intrapreneurship culture.

Among other limitations, the paper uses data provided by only one key informant per firm, and the results can be generalized to only 25 business sectors among Spanish firms.

The research findings have important implications for practising managers. First, our results suggest that the deployment of technological IT and managerial IT resources increases firms' ability to develop an innovation‐supportive culture. Second, intrapreneurship culture is an important intermediate organizational capability through which the benefits of both technological IT and managerial IT resources are converted into performance effects at the corporate level.

First, this paper reveals how firms can develop an intrapreneurship culture. Specifically, the findings of the paper show the key role of IT‐based resources in the development of this type of organizational culture. Second, this paper shows theoretically and empirically how firms can generate business value from IT‐enabled intrapreneurship culture, a topic that has received little attention to date.

The purpose of this paper is to test the activity reduces conflict associated strain (ARCAS) model with the aid of AET examining the direct effect of relationship conflict on employee well-being and also discussing the mechanism through which relationship conflict influences employee well-being, and also to test the ARCAS model examining whether passive and active conflict management styles influence this relationship.

Responses were collected from 554 software engineers using structured questionnaire and postulated relationships were tested using Process Macros.

The study established that relationship conflicts are detrimental to employee well-being. It also established the indirect effect of relationship conflict on employee well-being through negative affect state. Negative affect state is an intra-personal mechanism linking relationship conflict and employee well-being. The study also extended the ARCAS model by establishing that passive ways of handling conflict amplify and problem-solving conflict management style mitigates the adverse impact of relationship conflict. Contrary to the prediction, forcing conflict management style was found to amplify the adverse effect of relationship conflict on well-being through negative affect state.

The findings of the study highlight the detrimental effect of relationship conflict on well-being and highlight the vital role of individual affective states in the conflict process. Furthermore, the study provides valuable insights for managers on how individuals’ conflict management styles influence the effect of relationship conflict on well-being.

The study specifically examined the effect of relationship conflict on employee well-being and explored the psychological process through which relationship conflict diminishes well-being. Moreover, the study tested and extended ARCAS model with the aid of Affective Events Theory.

Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years.

A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018.

The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them.

Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80.

To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.