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In this chapter we develop sustainability implications of the Savall, Zardet, Bonett, and colleagues’ approach, known worldwide as socioeconomic approach to management (SEAM). SEAM can be used as a way of doing management and organizational inquiry into the ecological sustainability of practices with planetary boundaries. We conclude that a socially responsible approach to management needs to consider the hidden costs to an enterprise if it is not being sustainable to planetary resource limits.

This chapter addresses the “Taylorism–Fayolism–Weberism (TFW) virus,” a metaphor developed to highlight how organizational features recommended by each of these three management theorists produce dysfunctions that create unintended hidden costs that adversely impact organizations and their employees. The virus leads to an ideology where cost cutting is seen as the best means to improve an organization’s performance. We explore the problematic features of the TFW virus: hyperspecialization, separation of work design from work execution, and depersonalized job descriptions designed for workers who are falsely assumed to be lazy. We then address how these organizational features are related to micro dysfunctions and hidden costs (e.g., poor work organization) that accumulate into macro-level dysfunctions and costs that form the features of the risk society envisioned by Ullrich Beck (1992). These dysfunctions collectively threaten human and planetary existence. Next, we describe how the socioeconomic approach to management (SEAM) can address the TFW virus in ways that manage and remediate micro, macro, and planetary risks that emerge from a globalized enterprise. We conclude by offering a hopeful agenda for research on how to use SEAM to more effectively manage the emerging micro and macro dysfunctions and impacts of the world risk society.

This chapter presents a case study involving a socio-economic Organizational Development (OD) project carried out in a European subsidiary of a large multinational corporation traded on the New York Stock Exchange. This research case study, one of the 1,854 socio-economic interventions undertaken by the ISEOR research center, was chosen for its good illustration of the OD engineering process. It connects the dots between OD and financial performance, between immediate results and the creation of potential. We look at some of the tools and methods, such as overhauling loss and profit accounts and balance sheets with an eye on socio-economic balance, to illustrate socioeconomic tools at work and how they help enhance compatibility between the objectives of all stakeholders, including shareholders. With this case study, we also set out to provide food for thought on the contribution of socio-economic OD to the construction of socially responsible capitalism (Savall et al., 2015).

Cleats are considered one of the significant permeability-related parameters in coalbed methane (CBM) growth. As critical parameters for CBM extraction, a complete characterisation of cleat distributions and orientation can provide a better tool to indirectly estimate porosity and permeability in coal reservoirs. This chapter presents the outcomes of the production of comprehensive research cleats within Miocene coal seams as part of CBM exploration and development. The majority of data (cross-section view measurement) were collected on mine’s walls. Cleat data were gathered from 16 windows measurement locations with hundreds of cleats were measured from outcrops for several coal seams. Two primary cleat orientations; for face cleats, NNE-SSW and for butt cleats, ESE-WNW. The ratio of low permeability coals appears to have a smaller cleat aperture than high permeability coals. As critical parameters for CBM extraction, a complete characterisation of cleat distributions and orientation can provide a better tool to indirectly estimate porosity and permeability in coal reservoirs.

This paper deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. However, the differentiation of product development among a number of firms also implies that various dependencies need to be dealt with across firm boundaries. How dependencies may be dealt with across firms is related to how product development is organized. The purpose of the paper is to explore dependencies and how interactive product development may be organized with regard to these dependencies.

The analytical framework is based on the industrial network approach, and deals with the development of products in terms of adaptation and combination of heterogeneous resources. There are dependencies between resources, that is, they are embedded, implying that no resource can be developed in isolation. The characteristics of and dependencies related to four main categories of resources (products, production facilities, business units and business relationships) provide a basis for analyzing the organizing of interactive product development.

Three in-depth case studies are used to explore the organizing of interactive product development with regard to dependencies. The first two cases are based on the development of the electrical system and the seats for Volvo’s large car platform (P2), performed in interaction with Delphi and Lear respectively. The third case is based on the interaction between Scania and Dayco/DFC Tech for the development of various pipes and hoses for a new truck model.

The analysis is focused on what different dependencies the firms considered and dealt with, and how product development was organized with regard to these dependencies. It is concluded that there is a complex and dynamic pattern of dependencies that reaches far beyond the developed product as well as beyond individual business units. To deal with these dependencies, development may be organized in teams where several business units are represented. This enables interaction between different business units’ resource collections, which is important for resource adaptation as well as for innovation. The delimiting and relating functions of the team boundary are elaborated upon and it is argued that also teams may be regarded as actors. It is also concluded that a modular product structure may entail a modular organization with regard to the teams, though, interaction between business units and teams is needed. A strong connection between the technical structure and the organizational structure is identified and it is concluded that policies regarding the technical structure (e.g. concerning “carry-over”) cannot be separated from the management of the organizational structure (e.g. the supplier structure). The organizing of product development is in itself a complex and dynamic task that needs to be subject to interaction between business units.

This chapter concerns itself with a garment factory in Trinidad, West Indies, producing brand-name clothing for the Eastern Caribbean market. Workers in this factory not only stitch garments for an hourly wage; but also stealthily operate a secondary assembly line, creating precise duplicates of the factory's products for themselves to take home and wear. Manufactured on the shop-floor alongside “legitimate” production, the copied garments are identical in every way to the genuine ones they mimic. In this chapter, I argue that workers have created a “loop” in the value chain: a simultaneous moment in which they are both producers and consumers of the factory's products. While “genuine” garments circulate through market-capitalist networks of exchange, copied garments only circulate through social networks – thereby accruing and representing forms of “value” that are distinct from market value. By looping the value chain, factory workers create non-market values alongside market-oriented ones, showing both sets of values to be interdependent. Workers’ own commentary on these processes offers a unique window onto contested meanings of “value” at work on the shop-floor.

This chapter offers an overview of the applications of artificial intelligence (AI) in the textile industry and in particular, the textile colouration and finishing industry. The advent of new technologies such as AI and the Internet of Things (IoT) has changed many businesses and one area AI is seeing growth in is the textile industry. It is estimated that the AI software market shall reach a new high of over US$60 billion by 2022, and the largest increase is projected to be in the area of machine learning (ML). This is the area of AI where machines process and analyse vast amount of data they collect to perform tasks and processes. In the textile manufacturing industry, AI is applied to various areas such as colour matching, colour recipe formulation, pattern recognition, garment manufacture, process optimisation, quality control and supply chain management for enhanced productivity, product quality and competitiveness, reduced environmental impact and overall improved customer experience. The importance and success of AI is set to grow as ML algorithms become more sophisticated and smarter, and computing power increases.