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Organizational unlearning is easier said than done. Organizations are usually not cognizant of the ripe time to start questioning and discarding their existing paradigms and past success formulas. This paper aims to recommend the use of a financial metric, i.e. value-added statement, as a trigger to unlearning in organizations.

This paper uses a review of existing literature on organizational unlearning to highlight that although prescriptive studies on unlearning are abundant, “how” and “when” organizations should contemplate and discard the obsolete knowledge and routines is still inconspicuous.

Value-added statement is an adequate reporting measure that incorporates the contribution of organization toward not only its shareholders but also other stakeholders such as employees, providers of long-term finance, government, and public. It supplements income statement and provides an insight of how organizations are serving its interest groups. A decline in value addition by an organization in a reporting period can serve as a trigger to question the existing practices and break organization’s over-dependence on “one size fits all” approach.

Unlearning is considered as a means to attain financial performance in an organization. This paper attempts to recommend a financial metric which incorporates the economic, social, and environmental aspects of business, i.e. value-added statement. The rationale for not recommending other financial metrics as a trigger for unlearning is based on grounds of possible manipulation. Moreover, these financial statements are affected by legal, political, and economic context of a nation.

As contemporary organizations’ focus shifts from knowledge orientation to learning orientation, this paper aims to articulate the need for models that describe the learning process in organizations. Simply assuming that organizations learn without any support of tangible framework or models highlights this need. The paper presents limitations of two prevalent themes of organizational learning, i.e. learning by adapting to environmental disturbances and learning from organizational members.

Based on the literature review on organizational learning, studies that depict the mechanism of organizational learning were selected. These were grouped into two categories: one that focuses on how organizations learn from its environment and other on how organization learn from its members.

This paper suggests the need for developing models and frameworks that eloquently describe the learning process in organizations. The literature focuses on organizational learning from individuals and adapting to the environment. Organizations tend to attribute the cause of failure to environmental shocks. Then, instead of the environment being a source of learning, it becomes a cause of failure. If individuals are agents of organization through which the latter learns, how this tacit knowledge becomes institutionalized in organizational memory is unknown.

This paper is a retrospective view on organizational learning. It attempts to question the black box of organizational learning, i.e. how the learning of individuals is transferred to organizational memory, or simply put, how the organizational learning mechanism works. There is a dearth of studies that address this question, and it has been simply assumed that somehow organizations do learn, but how?

Learning, unlearning and relearning (LUR) has been preached as a panacea to organizations. Whereas, research on learning and unlearning has grown exponentially, relearning is still considered as an obscure concept. This paper aims to provide a new insight on organizational relearning and highlight its linkages with organizational unlearning.

This study is based upon a systematic literature review of organizational unlearning and organizational relearning. Papers expounding upon relearning were carefully analyzed vis-à-vis organizational unlearning.

Organizational unlearning and organizational relearning assume a vital place in developing a learning organization. However, linking the two processes in a sequence tends to arouse certain conceptual difficulties. First, it is not necessary that relearning follows this prescribed ordering sequence. It is a process that can happen without prior unlearning. Second, based on the process model and multiple definitions of unlearning, the very purpose of organizational unlearning is to acquire new knowledge (relearning in literature). Therefore, in this sense, relearning seems to become a redundant concept and a neologism. As a result, this hampers the proper contextualization of relearning.

This paper attempts to expound upon the debate of organizational relearning and its interplay with organizational unlearning. As the concept of lifelong learning and building learning organizations assumes the center stage in contemporary organizations, it is suggested that unless the conceptual issues of related to LUR are not adequately addressed, academicians will naturally find it difficult to prescribe proper course of action to practitioners.

Additive manufacturing (AM) technology has a huge influence on the real world because of its ability to manufacture massively complicated geometrics. The purpose of this study is to use CiteSpace (CS) visual analysis to identify fused deposition modeling (FDM) research and development patterns to guide researchers to decide future research and provide a framework for corporations and organizations to prepare for the development in the rapid prototyping industry. Three-dimensional printing (3DP) is defined to budget minimize manufactured input and output for aviation and the medical product industrial sectors. 3DP has implemented its potential in the Coronavirus Disease of 2019 (COVID-19) reaction.

First, 396 original publications were extracted from the web of science (WOS) with the comprehensive list and did scientometrics analysis in CS software. The parameters are specified in CS including the span (from 2011 to 2019, one year slice for the co-authorship and the co-accordance analysis), visualization (show the merged networks), specific criteria for selection (top 20%), node form (author, organization, region, reference cited; cited author, journal and keywords) and pruning (pathfinder and slicing network). Finally, correlating data was studied and showed the results of the visualization study of FDM research were shown.

The framework of FDM information is beginning to take shape. About hot research topics, there are “Morphology,” “Tensile Property by making Blends,” “Use of Carbon nanotube in 3DP” and “Topology optimization.” Regarding the latest research frontiers of FDM printing, there are “Fused Filament Fabrication,” “AM,” in FDM printing. Where “Post-processing” and “environmental impact” are the research hotspots in FDM printing. These research results can provide insight into FDM printing and useful information to consider the existing studies and developments in FDM researchers’ analysis.

Despite some important obtained results through FDM-related publications’ visualization, some deficiencies remain in this research. With >99% of articles written in English, the input data for CS was all downloaded from WOS databases, resulting in a language bias of papers in other languages and neglecting other data sources. Although, there are several challenges being faced by the FDM that limit its wide variety of applications. However, the significance of the current work concerning the technical and engineering prospects is discussed herein.

First, the novelty of this work lies in describing the FDM approach in a Scientometric way. In Scientometric investigation, leading writers, organizations, keywords, hot research and emerging knowledge points were explained. Second, this research has thoroughly and comprehensively examined the useful sustainability effects, i.e. economic sustainability, energy-based sustainability, environmental sustainability, of 3DP in industrial development in qualitative and quantitative aspects by 2025 from a global viewpoint. Third, this work also described the practical significance of FDM based on 3DP since COVID-19. 3DP has stepped up as a vital technology to support improved healthcare and other general response to emergency situations.

Recent research advances in artificial intelligence, machine learning, and neural networks are becoming essential tools for building a wide range of intelligent applications. Moreover, machine learning helps to automate analytical model building. Machine learning based frameworks and approaches allow making well-informed and intelligent choices for improving daily eating habits and extension of healthy lifestyle. This book chapter presents a new machine learning approach for meal classification and assessment of nutrients values based on weather conditions along with new and innovative ideas for further study and research on health care-related applications.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The overall capability of an organization to learn can be enhanced further through unlearning and relearning. However, the relationship between these latter constructs is subject to considerable debate and their precise contribution to the learning process remains somewhat unclear as a result.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Contemporary frameworks on institutional theory and corporate environmentalism observe that institutional fields positively influence a firm’s environmental response in the form of implementation of environmental practices. These frameworks, however, provide little evidence on why firms facing similar institutional field differ in their environmental response. This paper aims to incorporate the intra-organizational dynamics within the traditional institutional theory framework to address this heterogeneity, examining specifically the role of absorptive capacity for environmental knowledge in the organizational implementation of corporate environmental practices.

Integrating the institutional theory and resource-based view, this paper examines the mediating role of absorptive capacity in the relationship between institutional pressure for corporate environmentalism vis-a-vis the implementation of corporate environmental practices. Partial least square structural equation modeling was used for hypotheses testing based on data obtained from the Indian apparel and textile industry.

The results support the mediating role of absorptive capacity in the relationship between institutional pressure and implementation of corporate environmental practices. Further, this study highlights the importance of acquisition and utilization of environmental knowledge in driving environmentalism through developing absorptive capacity; the findings also suggest that the role of institutional pressure in the implementation of environmental practices should not be analyzed in isolation but rather in conjunction with the development of absorptive capacity that forms the internal basis of implementation.

Managers need to focus on the development of organizational capabilities for acquiring and exploiting environmental knowledge to complement their preparedness in responding to any institutional pressures for environmental sustainability. Firms also need to link their environmental orientation with various sources of environmental knowledge and capabilities residing outside the organizational boundaries. It is important to note here that the development of absorptive capacities for the exploration and exploitation of external knowledge is indeed both required and necessary to build sustainable organizational capabilities.

This paper is among the very few studies that address the issue of knowledge and development of related organizational capabilities for corporate environmentalism. Recognizing that environmental knowledge resides outside organizational boundaries with regulatory agencies and special interest groups, this paper highlights the importance of developing organizational capabilities for the acquisition and exploitation of environmental knowledge.

This paper aims to develop a computational approach to analyze the mechanical behavior, perfusion bioreactor test and degradation of the designed scaffolds. Five types of pore architecture scaffolds have been made using a computer-aided designed tool and fabricated through fused deposition modeling.

Compressive structural analysis has been performed using the finite element method to forecast the mechanical performance of the scaffolds. Also, the experimental study was done to validate the simulation outcomes. A computational fluid dynamic analysis was performed to ascertain the fluid pressure distribution, velocity profile, wall shear stress, strain rate and permeability of scaffolds. The interconnected pore architecture of the scaffolds plays a crucial role in enhancing the mechanical properties and fluid flow characteristics.

The scaffolds with continuous vertical support columns resulted in better strength because they provide better ways to transfer the load. The pore architecture of the scaffold plays a significant role in the path of fluid flow. Scaffolds with regular interconnected pore architecture showed better accessibility of the fluid. The degradation analysis showed that the degradation rate is dependent on the architecture of the scaffolds because of different surface area to volume ratios.

The simulation results provide a straightforward prediction of the scaffold suitability in terms of mechanical strength, perfusion and degradation behavior.

Additive manufacturing has rapidly developed in terms of technology and its application in various types of industries. With this rapid development, there has been significant research in the area of materials. This has led to the invention of Smart Materials (SMs). The 4D printing is basically 3D printing of these SMs. This paper aims to focus on novel materials and their useful application in various industries using the technology of 4D printing.

Research studies in 4D printing have increased since the time when this idea was first introduced in the year 2013. The present research study will deeply focus on the introduction to 4D printing, types of SMs and its application based on the various types of stimulus. The application of each type of SM has been explained along with its functioning with respect to the stimulus.

SMs have multiple functional applications pertaining to appropriate industries. The 4D printed parts have a distinctive capability to change its shape and self-assembly to carry out a specific function according to the requirement. Afterward, the fabricated part can recover to its 3D printed “memorized” shape once it is triggered by the stimulus.

The present study highlights the various capabilities of SMs, which is used as a raw material in 4D printing.