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Organizational technologies can be classified according to the roles they play as either commodity or strategic. Commodity technologies support common operations, while strategic technologies address perceived threats to competitiveness, often identified by strategic foresight. These must go through an adoption process before playing an effective role in strategy execution. The adoption process includes known activities, ranging from sourcing (itself from in-house development to turn-key acquisition) to operational integration. This paper aims to reveal strategic technology adoption risks that arise during strategy execution.

A gradually developed causal loop diagram model, supported by general literature, introduces three general classes of technology adoption risks: mismatched requirements, supplier dependence and unmanaged life cycles.

Rather than managed, these risks are incurred or avoided depending on decisions made during the adoption process.

Despite the scarce literature coverage for the approach, examples revealing the presence of adoption risks are nevertheless available in the well-documented history of enterprise resource planning (ERP).

Although ERP is presented as a general-purpose strategic technology, the unique business features of maritime container terminals pose serious challenges to its adoption, which provides additional support to the discussion and reinforces the conclusions.

The approach to identifying risks in strategic technology adoption departs from the current risk paradigm in two significant ways. First, it emphasizes policy decision-making rather than external events. Second, it views risks as systemic rather than occurring independently.

The purpose of this paper is to first develop indicators for how total inequality, measured through the ANalysis Of GIni (ANOGI) framework, is mapped onto each group – i.e. indicators for each group's share of total inequality. Second, to develop indicators for the sensitivity of total inequality and its structure to changes in the composition of the population. Specifically, to develop indicators for how the Gini index and its ANOGI components react to (1) changes in the population-share of each group, (2) migration between groups, (3) changes in group incomes and (4) income transfers between groups.

First, the expressions for these indicators are derived analytically. Following this, the indicators are applied to labour-market data from Brazil, contrasting the results to others available in the literature.

The indicators described above are presented and their characteristics discussed. Empirically, it is illustrated how labour formalisation in Brazil was an inequality-reducing process between 2002 and 2011, contrary to previous incorrect measurements of the phenomenon based on income-source decompositions for Latin American countries.

Indicators for how total inequality reacts to changes in group sizes and income were unavailable for the ANOGI framework, which this article provides. The empirical illustration shows how this leads to a reassessment of important inequality dynamics, using the example of labour formalisation in Brazil. Contrary to the existing literature, it is shown how this was a progressive development, with key implications for social and labour-market policy. This framework can be used to assess the impact of diverse processes in the ANOGI methodology.

The purpose of this paper is to find the configuration of the number (m) and size (n) of the sample in Phase I that would make it possible to detect the out-of-control (OOC) state of the process with the smallest number of samples and ensure a capability index (C_pk) that would meet the customer’s requirements.

The suggested approach addresses this problem using simulation techniques and design of experiments (DOE). The simulation techniques made it possible to reproduce the normal operating conditions of the process. The DOE was used to construct a predictive model for control chart performance and thus to determine combinations of m and n in Phase I that would meet the capability objectives of the process. A numerical example and a simulation study were conducted to illustrate the proposed method.

Using simulation techniques and DOE, the authors can find the number (m) and size (n) of the sample in Phase I that would make it possible to detect the OOC state of the process with the smallest number of samples and ensure a C_pk that would meet the customer’s requirements.

In the real situations of many companies, choosing the numbers and sizes of samples (m and n) in Phases I and II is a crucial decision in relation to implementing a control chart. The paper shows that the simulation method and use of linear regression are effective alternatives because they are better known and more easily applied in industrial settings. Therefore, the need for alternatives to the X control chart comes into play.

The purpose of this paper is to present a new index of social vulnerability (SV), based on local level data [statistical blocks (SBs)]. This same methodology was applied before at the municipal level, which is a level of analysis that under-evaluates local spots of high SV, by one side, and generalizes the coverage of support capacity equipment and infrastructure. The geographical level of detail of the input data allows to overcome those limitations and better inform infra-municipal risk practitioners and planners.

The assessment of SV in this paper adopts an inductive approach. The research context of this conceptual and methodological proposal derived from the need to operationalize the concept of SV as a planning tool. This approach required to distinguish between the components of criticality and support capability, as their assessment provides knowledge with distinct applications in risk management. The statistical procedure is based on principal components analysis, using the SB as the unit of analysis.

Support capability acts as a counter-weight of criticality. This understanding is well illustrated in the mapping of each component and the final score of SV. The methodological approach allowed to identify the drivers of criticality and support capability in each SB, aiding decision-makers and risk practitioners in finding the vulnerability forcers that require more attention (public or private social equipment, housing policies, emergency anticipatory measures, etc.).

An original approach to SV assessments is the consideration of the components of criticality and support capability. The results allow for the definition of adapted and specific strategies of risk mitigation and civil protection measures to distinct types of risk groups and by different stakeholders and risk practitioners. By predicting the impact and the recovery capacity of communities, the results have applicability in several fields of risk governance as, for example, risk communication and involvement, social intervention (health, education and housing), emergency response, contingency planning, early warning and spatial planning.

This paper aims to identify the interrelationships of institutional factors that compose an entrepreneurial ecosystem (EE) in small towns that can potentially increase the attraction of franchises.

The authors analyzed 728 small towns with franchise chains that do not belong to metropolitan regions and are limited to populations of up to 50,000 inhabitants. Secondary data are obtained from the Brazilian Institute of Geography and Statistics. The data analysis technique used is Poisson regression.

A higher number of employed persons (H1), a higher savings (H2) and a higher number of educational institutions (H4) correlates with more franchise chains in small towns. The availability of institutional support (H3) does not correlate with the number of franchise chains. Regarding the interrelationships between factors, the interactive effect between two constructs is determined to cause a decrease in franchise chains, whereas interrelating three factors raises the number of franchise chains (R² = 72.3%).

The analysis identifies some environmental factors to be considered in market prospecting by franchise chains’ expansion managers. These factors constitute a relevant analytical model focused on the regional development of franchise chains.

Social contributions are directed to public policy professionals responsible for regional economic development, as emerging markets demand actions to encourage job creation when confronted with high unemployment rates and dependence on the informal economy.

The contribution of this paper is bringing EE to the debate of the institutional environment’s impact on new businesses. EE adds to the debate examining the interrelationships between different institutional factors. An EE not only identifies the factors, but also examines the interdependence of these factors, which can potentially explain the attraction of franchise chains in small towns.

The purpose of this research is to identify the impacts of the country of origin of a franchise chain on its commitment in the destination countries, verifying the institutional particularities between the chains from emerging and developed countries.

The research is descriptive and quantitative and involved 724 franchise chains from 10 countries of origin (Brazil, Russia, India, South Africa, Argentina, USA, Germany, Australia, Spain and Portugal), spread over 174 destination countries, totaling 3,513 cases.

The results indicate that institutional preferences do not vary according to the country of origin of the franchise chain but rather vary according to the destination country.

This paper contributes to institutional theory by identifying a set of characteristics that explains the selection of international markets and the commitment of franchise chains.

The results obtained in the study can help managers of franchise chains to make decisions related to the selection of destination countries for international expansion based on the institutional characteristics of the markets and their compatibility with the objectives of the franchise chains.

Companies in emerging countries internationalize according to different management logics from those of companies from developed countries. Thus, it is possible that the process of selecting countries for internationalization is also based on different criteria that reflect different institutional preferences. The thesis defended in the paper is that market potential is more important to franchisees from emerging markets, whereas contract enforcement is more important to franchisees from developed markets.

In this study, the authors identify how formal institutional environments in destination countries matter to franchise chains as they internationalize. The institutional environment of the destination countries of franchise chains is characterized according to three institutional dimensions necessary to attract international investment – public governance, ease of doing business and legal processes – and analyzed in the context of regional and global franchise expansion.

The descriptive quantitative study involved 625 franchise chains from Australia, Brazil, Germany, India, Russia, South Africa and the United States, with a total of 2,939 observations.

Results suggest that franchise chains from emerging markets are guided by the institutional conditions of ease of doing business and the quality of legal processes in global expansion and guided by ease of doing business, quality of legal processes and governance in regional expansion. On the other hand, franchise chains from developed markets are guided by the ease of doing business, quality of legal processes and governance in global expansion and governance and ease of doing business in regional expansion.

The sample included only franchise chains associated with organizations that represent franchises in their countries of origin, and the study does not analyze the effect of institutional distance between countries of origin and destination.

This study identifies the formal institutional characteristics that explain selection and commitment in international markets by franchise chains from different countries. The contribution is in analyzing the phenomenon through the lens of institutional theory and showing, through a global sample, that institutions matter to franchise chains from different types of countries (developed and emerging) and with different strategies for internationalization (global and regional).

The purpose of this paper is to present a CAD‐based human‐robot interface that allows non‐expert users to teach a robot in a manner similar to that used by human beings to teach each other.

Intuitive robot programming is achieved by using CAD drawings to generate robot programs off‐line. Sensory feedback allows minimization of the effects of uncertainty, providing information to adjust the robot paths during robot operation.

It was found that it is possible to generate a robot program from a common CAD drawing and run it without any major concerns about calibration or CAD model accuracy.

A limitation of the proposed system has to do with the fact that it was designed to be used for particular technological applications.

Since most manufacturing companies have CAD packages in their facilities today, CAD‐based robot programming may be a good option to program robots without the need for skilled robot programmers.

The paper proposes a new CAD‐based robot programming system. Robot programs are directly generated from a CAD drawing “running” on a commonly available 3D CAD package (Autodesk Inventor) and not from a commercial, computer aided robotics (CAR) software, making it a simple CAD integrated solution. This is a low‐cost and low‐setup time system where no advanced robot programming skills are required to operate it. In summary, robot programs are generated with a high‐level of abstraction from the robot language.

The purpose of this paper is to present a case study regarding the deployment of a previously developed model for the integration of management systems (MSs). The case study is developed at a manufacturing site of an international enterprise. The implementation of this model in a real business environment is aimed at assessing its feasibility.

The presented case study takes into account different management systems standards (MSSs) progressively implemented, along the years, independently. The implementation of the model was supported by the results obtained from an investigation performed according to a structured diagnosis that was conducted to collect information related to the organizational situation of the enterprise.

The main findings are as follows: a robust integrated management system (IMS), objectively more lean, structured and manageable was found to be feasible; this study provided an holistic view of the enterprise’s global management; clarifications of job descriptions and boundaries of action and responsibilities were achieved; greater efficiency in the use of resources was attained; more coordinated management of the three pillars of sustainability – environmental, economic and social, as well as risks, providing confidence and added value to the company and interested parties was achieved.

This case study is pioneering in Portugal in respect to the implementation, at the level of an industrial organization, of the model previously developed for the integration of individualized MSs. The case study provides new insights regarding the implementation of IMSs including the rationalization of several resources and elimination of several types of organizational waste leveraging gains of efficiency. Due to its intrinsic characteristics, the model is able to support, progressively, new or revised MSSs according to the principles of annex SL (normative) – proposals for MSSs – of the International Organization for Standardization and the International Electrotechnical Commission, that the industrial organization can adopt beyond the current ones.