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The purpose of this paper is to compare two boundary organizations situated in Malmö (Sweden) and oriented toward opening production. Particularly, it looks at how the two organizations tried to establish and communicate their boundaries during their official opening events, which were structured according to the format of hackathon.

The authors adopted an ethnographic approach and followed the two events, observing and interacting with organizers and participants. The findings reported here draw upon data collected through direct observation, the authors’ experience as participants, unstructured conversations, e-mail exchanges.

This paper analyzes the two events in order to show how different cultures of opening production lead to different ways of performing hackathons and, consequently, how these events affect the process of establishing and communicating the organizational boundaries.

The paper looks at the potential of events structured according to the format of hackathon as a way for boundary organizations to position themselves.

The purpose of this paper is to ascertain the relative impact of different Tony Award nominations and wins on the financial success of a Broadway theater production, as defined by the length of the production’s run.

Cox hazard regression was used to identify the impact of Tony Award nominations and wins (time-varying covariates), while controlling for several time-invariant covariates: type of production (play or musical, revival or original Broadway production), production costs (operationalized via the cast size), the month and year of opening, and initial marketing success (defined as the percentage of first full week’s tickets sold).

The award with the strongest relationship with production longevity was the Tony Award for Best Musical (nomination OR=0.566, p=0.110; win OR=0.323, p=0.020). Several other awards had a relationship with production longevity, but most were not statistically significant.

The limitations include the low statistical power for many time-varying covariates and the cumulative impact of multiple awards was not investigated. Future researchers interested in the Broadway industry should not combine Tony Awards because of the varying impact on economic outcomes for a production.

This study is the first to investigate all 22 Tony Award nominations and wins and their individual impact on an economic outcome. This paper includes the study’s raw data and SPSS syntax to comply with open science practices. The author encourages readers to replicate the analysis.

The purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).

One of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.

Based on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R², p value and T-statistics to be stated as a significant relationship.

This research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.

The implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

With rapid technological change and international competition for traditional markets, new approaches to training have been developed. The old pattern of college provision with rigidities of time, place and pace is giving way to a flexible and responsive attitude which takes a market‐oriented approach to a new “bespoke” product, often in the form of open learning. The ways in which this change has come about and the new initiatives that have arisen are outlined. Open learning materials production and delivery systems are discussed. A case study of the Oxford Centre for Adult Learning is presented, which shows how a large further education college has been able to collaborate with local employers in identifying training needs and design, establish and market appropriately flexible education and training systems.

Research in the field of openness has become very broad and, unfortunately, also opaque. Thus, the purpose of this paper was to analyse and map the trends by applying bibliometric tools to the scientific literature published between 1990 and 2015, for descriptive bibliometric analysis, and 2011 to 2015, for content analysis.

A bibliometric analysis was used to identify document types, most prolific institutions, countries, source titles and Web of Science categories in the field of openness. Furthermore, bibliometric mapping was performed to discover country and institutional cooperation networks and to be able to understand funding opportunities for openness and information technology research. Additionally, with content analysis, scientific landscape was produced with most prolific terms and their chronological evolution through time.

The first information sources were published in 1990, and production was steady until 1998. After that period, the growth becomes exponential for the total number of information sources, as well as articles and proceedings papers, with a slight decrease in growth between 2009 and 2011. Descriptive bibliometric analysis showed that the most productive countries were the USA, the UK, Germany, China, Italy and Spain.

This paper presents the first holistic bibliometric analysis of the literature production concerning openness in relation to information and communication technology which helps researchers in the field to better understand the relations between themes and outsiders to get an overview of the openness scientific landscape.

The purpose of this paper is to develop a preliminary conceptual scale for the measurement of distributed manufacturing (DM) capacity of manufacturing companies operating in rubber and plastic sectors.

A two-step research methodology is employed. In first step, the dimensions of DM and different levels of each dimension have been defined. In second step, an empirical analysis (cluster analysis) of database firms is performed by collecting the data of 38 firms operating in Italian mould manufacturing sector. Application case studies are then analyzed to show the use of the proposed DM conceptual scale.

A hyperspace, composed of five dimensions of DM, i.e. manufacturing localization; manufacturing technologies; customization and personalization; digitalization; and democratization of design, is developed and a hierarchy is defined by listing the levels of each dimension in an ascending order. Based on this hyperspace, a conceptual scale is proposed to measure the positioning of a generic company in the DM continuum.

The empirical data are collected from Italian mould manufacturing companies operating in rubber and plastic sectors. It cannot be assumed that the industrial sectors in different parts of the world are operating under similar operational, regulatory and economic conditions. The results, therefore, might not be generalized to manufacturing companies operating in different countries (particularly developing countries) under different circumstances.

This is first preliminary scale of its kind to evaluate the positioning of companies with respect to their DM capacity. This scale is helpful for companies to compare their capacity with standard profiles and for decision making to convert the existing manufacturing operations into distributed operations.

The purpose of this paper is to analyse the mutual learning implications for service productivity of the characteristics of service and service production.

This is a conceptual paper. The starting point is, first of all, that productivity as a management concept should help a firm to manage its economic profit, and secondly, that service organizations are open systems, where the customers participate as co-producers and are exposed to the firm’s production resources and processes. Unlike in manufacturing, to understand productivity in service organizations as a means of managing profit, cost effects and revenue effects of changes in the productions system cannot be separated. Due to the interaction between customers and the firm’s resources during service production, dialogical collaboration between them develops. This enables mutual learning.

Given the social dynamics in service production processes, four learning processes that influence service productivity are identified. Two processes enhance the organizations’s internal efficiency (cost savings), and two enhance its external effectiveness (perceived quality, revenue generation); two are organization-driven, two are customer-driven.

The mutual learning model demonstrates how the service provider by learning from the dynamics of service encounters in many ways can manage the productivity of the organizations’s processes. It shows that learning enables improvement of service productivity through effects enhancing both internal efficiency and external effectiveness.

In a productivity context, learning has not earlier been studied as a mutual learning phenomenon.

The purpose of this paper is to open the special issue of Online Information Review on open knowledge management in higher education. Its aim is to review the concept and extension of the movement or philosophy of open knowledge in universities and higher education institutions.

The approach follows the reference model used by the University of Salamanca (Spain) to promote open knowledge in the institution through its Open Knowledge Office. This model comprises four areas: free software, open educational content and cultural dissemination, open science, and open innovation.

For each of the four areas mentioned above, milestones and the most significant projects are presented, showing how they are promoting publication and information transmission in an open environment, without restrictions and favouring knowledge dissemination in all fields.

Open knowledge is an approach which, although somewhat controversial, is growing relentlessly as cultural and scientific dissemination leave behind other interests or economic models. International organisations and governments are gradually embracing open knowledge as the way to share scientific advances with society and as an international cooperative way to assist development in third‐world countries.

This paper aims to unravel the technological innovation pattern in China’s aerospace industry. The technological innovation pattern of China’s aerospace industry is identified and its theoretical foundation, structure, philosophy, formation and effects on the development of China’s aerospace industry are explored.

First, the theoretical foundation of synergy innovation of China’s aerospace industry is reviewed to further identify the technological innovation pattern. Second, Chinese ancient philosophy (dialectical thinking) is used to explain the structure and process of synergy innovation in China’s aerospace industry. Third, the formation process of synergy innovation is introduced, and, finally, the effects of synergy innovation are discussed.

The technological innovation pattern of China’s aerospace industry has undergone an evolutionary process. During this process, China’s aerospace firms have formed a unique technological innovation pattern, synergy innovation, under China’s special political and economic background. The synergy innovation has three characteristics, including original, integrated and application-based. The synergy innovation pattern application is one of the most important reasons behind the great achievements of China’s aerospace industry.

A unique technological innovation pattern, synergy innovation, is proposed for the first time. A new perspective for understanding innovation is provided by applying the Chinese dialectical thinking to decipher the philosophy of the technological innovation pattern. Based on this, this paper suggests that China’s aerospace industry should follow the situation and apply the synergy innovation pattern to achieve development and growth. This paper also illustrates a multi-method approach and emphasizes the different levels of organizing for innovation.