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Rapid prototyping technologies can create a physical part directly from a digital model by accumulating layers of a given material. Providing tremendous flexibility in the part geometry that they can fabricate, these technologies present an opportunity for the creation of new product attributes that cannot be made with existing technologies. For this to be possible, however, various design environments including different fabrication processes need to be considered at the time of design. This paper proposes an extended design automation paradigm for design and fabrication of a new product attribute, surface macro‐texture.

This paper aims to increase our understanding of the nature and role of communities within organizations with regard to innovation management, the drivers of community innovation and macro-processes of community innovation management.

The authors first use an inductive qualitative technique to analyze data gathered from a UK university to build up the concept of communities of innovation and then refine the concept of communities of innovation by contrasting it to the more established literature on communities of practice. Finally, with the aid of existing literature on collaborative innovation and the innovation processes, the authors induce from the data the drivers of community innovation and the three macro-processes of community innovation management.

The research findings suggest communities of innovation play a central and pivotal role in contributing to the generation of innovations within organizations. Drivers of innovation included corporate culture, money and time, intellectual property management, motivation, knowledge facilitators, activists and maintenance and opportunities to interact. The three macro-processes of community innovation management are identified as divergence management, gateway management and convergence management.

As this is an exploratory research into communities of innovation, all the 11 communities of innovation analyzed belong to ABC University. It is necessary to expand on this research within the education industry, as well as into other industries to further test the reliability of the findings in this paper.

Business executives who have a better understanding of communities of innovation, the drivers of community innovation and the macro-processes of community innovation management will be better able to promote innovation within their organizations.

Governments that have a better understanding of communities of innovation, the drivers of innovation and the macro-processes of community innovation management will be better able to promote innovation within their countries.

To the best of the authors’ knowledge, this is one of the first research studies attempting to understand communities of innovation and the macro-processes of community innovation management.

In this article, I address connections between processes at the micro (e.g., negotiation) and macro or contextual levels of analysis. The discussion situates process analysis in the broader settings in which the interactions take place. The first major section shows how various contextual factors may influence micro‐level processes. These factors include events, structures or institutions, and cultures. In the second major section, I consider the ways that small‐group processes may influence the macro‐level context. Societal (organizational, international) changes may result from such processes as those that occur in problem‐solving workshops, educational exchanges, and formal negotiations, including the objectives sought and strategies used, the tone and content of rhetoric displayed, and the formats and procedures devised. The article concludes with a way to conceptualize the linkages between processes and structures at the different levels.

We propose an elaboration of the social structure and personality framework from sociological social psychology that is intended to promote integration across social psychological traditions and between social psychology and sociology, using the study of inequality as an example.

We develop a conceptualization of “generic” proximate processes that produce and reproduce inequality in face-to-face interaction: status, identity, and justice.

The elaborated framework suggests fundamental questions that analysts can pose about the macro-micro dynamics of inequality. These questions direct attention to the “how” and “why” of macro-micro relations by connecting structural and cultural systems, local contexts, and the lives of individual persons; highlighting implicit processes; making meaning central; and directing our attention to how people act efficaciously in the face of constraint.

Applying this framework, scholars can use existing theories and generate new ones, and can do so inductively or deductively.

Research on inequality is enriched by social psychological analyses that draw on the full complement of relevant methods and theories.

We make visible the social psychological underpinnings of sociological research on inequality and provide a template for macro-micro analyses that emphasizes the centrality of social psychological processes.

The value chain is an essential management tool for the elaboration of strategic organizational planning. However, there are few published works providing methods for the development of value chains. This research aims to present a model to develop the value chain for the public sector.

Action research was used with case study in the evaluation step.

This research presents a model for value chain development along seven steps, covering data collection planning to the formalization of final product acceptance. The model suggests executing these seven steps in three iteration levels: operational, tactical and strategic. Through case studies, six practical insights were also highlighted in this work.

Given the absence of related work, one of the limitations is the lack of comparison with other methods of value chain development in the public sector.

There are practical guides to value chain development in the public sector; however, to the best of authors’ knowledge, such guides have not been developed using research methods. In the literature, no works provide details on how value chain can be developed in the public sector. In addition, the constraints of face-to-face contacts during the COVID-19 pandemic led the research team to conduct remotely the model's development and evaluation in the case studies. The model presents elements that enable value chain development without face-to-face contact between the execution team and public institution's stakeholders.

The purpose of this research is to explore the mechanisms of knowledge management (KM) for innovation and provide an approach for enterprises to leverage KM activities into continuous innovation.

By reviewing the literature from multidisciplinary fields, the concepts of knowledge, KM and innovation are investigated. The physical, human and technological perspectives of KM are distinguished with the identification of two core activities for innovation: knowledge creation and knowledge usage. Then an essential requirement for continuous innovation – an internalization phase – is defined. The systems thinking and human‐centered perspectives are adopted for providing a comprehensive understanding about the mechanisms of KM for innovation.

A networking process of continuous innovation based on KM is proposed by incorporating the phase of internalization. Three sources of organizational knowledge assets in innovation are identified. Then, based on the two core activities of innovation, a meta‐model and a macro process of KM are proposed to model the mechanisms of KM for continuous innovation. Then, in order to operationalize the KM mechanisms, a hierarchical model with four layers is constructed by integrating three sources of knowledge assets, the meta‐model and the macro process into the process of continuous innovation.

According to the lessons learned about KM practices in previous research, the three perspectives of KM should collaborate with one another for successful implementation of KM projects for innovation; the networking process of innovation provides a new way to integrate KM process in innovation; the hierarchical model provides a suitable architecture to implement systems of KM for innovation.

The meta‐model and macro process of KM explain how the next generation of KM can help the value creation and support the continuous innovation from the systems thinking perspective. The hierarchical model illustrates the complicated knowledge dynamics in the process of continuous innovation.

To study the corrosion behavior of pipeline steel in coastal areas, a tidal seawater macro-cell corrosion device was built using a cycle soaking tank and a macro-cell corrosion facility to simulate the corrosion behavior of pipeline steel in a simulated coastal environment (dry and wet alternations during seawater-soil corrosion macro-cell processes).

The corrosion behaviors were studied via the weight loss method, electrochemical methods and morphological observations on corrosion.

The results show that during the initial stage of tidal seawater/soil macro-cell corrosion process of the X65 steel, the working electrode on the seawater side is the anode of the macro-battery. As corrosion progresses, the anode and the cathode of the macro-battery become inverted. As the area ratio and the dry – wet ratio increase, the time of anode and cathode inversion shortens. Galvanic current density decreases as the dry – wet ratio increases and increases as the area ratio increases. The corrosion process of macro-cell is affected by the reversal of anode and cathode. After the reversal of anode and cathode, the corrosion rate is mainly controlled by dry – wet alternating corrosion.

The corrosion behavior of a pipeline steel in a coastal environment was studied using a tidal seawater macro-cell corrosion device. The synergism effect between the tidal seawater and seawater-soil macro-cell on corrosion behavior was clarified.

Does staffing contribute to organizational effectiveness and sustained competitive advantage, or are many of staffing’s implications merely cross-level fallacies? This article provides a critical examination of staffing research and practice, and proposes a multilevel model of staffing that ties together micro (e.g. personnel selection), meso (e.g. team staffing), and macro (e.g. organizational strategy, Human Resources practices) theory, research, and practice. The model is both integrative and prescriptive, providing a basic organizing structure for examining staffing research within and across levels. The article begins with a review of multilevel theory, followed by a review and critique of the dominant staffing paradigms from a multilevel perspective. It is shown these single level paradigms cannot answer many of the primary questions of interest to staffing specialists. In contrast, the multilevel staffing model not only addresses these limitations, but also prompts a variety of new predictions that oftentimes run counter to prevailing wisdom. Staffing specialists are challenged to show how our science and practice contribute to better functioning organizations.

Of critical concern to the world is the need to reduce consumption and waste of natural resources. This study provides a multi-level exploration of the ways situational and transformational links between levels and challenges are related to the adoption and utilization of material flow cost accounting in Vietnam, to encourage green productivity.

Based on triangulation of public documents at different institutional levels and a set of semi-structured interviews, situational and transformational links and challenges for material flow cost accounting in Vietnam are examined using purposive and snowball sampling of key actors.

Using a multi-level framework the research identifies six situational and transformational barriers to implementation of material flow cost accounting and suggests opportunities to overcome these. The weakest links identified involve macro-to meso-situational and micro-to macro-transformational links. The paper highlights the dominance of meso-level institutions and lack of focus on micro transformation to cut waste and enable improvements in green productivity.

The paper identifies ways for companies in Vietnam to reduce unsustainability and enable transformation towards sustainable management and waste reduction.

The paper is the first to develop and use a multi-level/multi-time period framework to examine the take-up of material flow cost accounting to encourage transformation towards green productivity. Consideration of the Vietnamese case builds understanding of the challenges for achieving United Nations Sustainable Development Goal number 12, to help enable sustainable production and consumption patterns.

The business engineering (BE) methodology is used to design process-oriented and customer-centred companies in a systematic and holistic way. However, BE demands a high learning effort with regard to the logical flow, instruments and supporting software. The purpose of this paper is to explore which elements of action learning are most useful regarding BE.

To enable students to learn BE, a graduate-level course based on action learning is designed. Within a one-week schedule, participants are guided through the three phases of BE covering 31 learning elements. A post-test measures the learning experience. Regression analysis identifies elements that lead to high learning performance.

Results from five courses with 79 students reveal that action learning is useful to obtain declarative and procedural knowledge of BE. Learning elements delivering theoretical input and the use of an exemplary case could be reduced, while more time should be devoted to group work on a self-developed case study.

The paper is based on a specific course design for the topic of BE, which might limit the results’ transferability to other business process management (BPM) teaching areas. However, it provides implications about the decisive elements for learning how to design process-oriented companies.

The results can be used by instructors to design more meaningful courses on BE.

The paper delivers new insights into how issues of BPM should be taught. This area, particularly regarding BE, has received little research attention.