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This paper aims to examine how firms, operating in mature and growing industries, can improve the alignment of their operations strategy to fit situations characterized by varying rates of industry growth and technological changes.

The authors enhance the operations strategy typology presented by Lei and Slocum by incorporating an enhanced set of competitive priorities and supporting structure/infrastructure requirements into their four cell matrix. They then introduce a stage‐based model of environmental dynamism and complexity that can foster major transitions in operations strategy.

Industry growth and technological change interact to create alternative environments with varying levels of dynamism and complexity requiring realignment of operations strategy. With increasing rates of technological change, the authors emphasize an urgent need to include innovation as a competitive priority (along with cost, quality, delivery and flexibility) to proactively adapt operations strategy to fit changing environments. It is also necessary for managers to ensure a fit between their competitive priorities and the development of supporting structures/infrastructures to ensure effective implementation of competitive operations strategy.

Operations strategy literature has not focused attention on the basic goals and capabilities needed to implement or adapt to today's dynamic environments. This study adds innovation as a competitive priority and improves our understanding of adaptation of operations strategy to alternative environments created by the interaction of industry growth and technological change. Specifically, by focusing on competitive priorities and supporting capabilities in dynamic environments, the authors provide directions for implementing changes to operations strategy.

Government initiatives to improve construction have increasingly become more focused on introducing a repertoire of technologies to transform the sector. In the literature on construction industry transformation through policy-backed initiatives, how firms will respond to the demands to adopt and use innovative technologies and approaches is taken for granted, and there is scarcely any attention given to the institutional implications of transformation agenda. The purpose of this paper is to discuss these gaps and offer directions for future research.

Following a synthesis of literature on the UK’s industry transformation agenda, the authors use the concepts of institutional logics, arrangements, complexity and strategic responses to suggest seven research questions that are at the nexus of policy-backed transformation and institutional theory.

In this paper, the authors argue that increasing demands for the adoption and use of digital technologies, platforms, manufacturing approaches and other “industry-4.0”-related technologies will reconfigure existing logics and arrangements in the construction industry, creating a problem of institutional complexity for general contracting firms in particular.

The questions are relevant for our understanding of the nature of institutional complexities, change, strategic firm responses, field-level dynamics and implications for the construction industry in relation to the transformation agenda. This paper is positioned to spur future research towards exploring the consequences of industry transformation through the lens of institutional theory.

This chapter argues that the Marxian theory of exploitation underlies the concepts of surplus and deficit industries that appear in Sraffa’s (1960) Production of Commodities by Means of Commodities. This is seen from archival research of the unpublished papers of Piero Sraffa housed at the Wren Library, Trinity College, University of Cambridge. There it is shown that the origin of these concepts lies in the Marxian theory of exploitation that Sraffa developed regarding the notion of the ‘pool of profits’ the Italian economist utilized over a 14-year period from 1942 to 1956. The chapter engages in an extensive textual study of the archival evidence and then presents a simple analytical model of these relations.

Literature, spanning industrial organization and strategic management disciplines, uses variance decomposition to understand the relative importance of firm, industry and business group effects in shaping profitability variations. Some literature analyzes firm profitability under transition to liberalization. Previous research has taken a static before-and-after view on institutional change. This paper aims to focus on the dynamic process of liberalization in India, analyzing how different institutional regime changes alter firm behavior leading to changes in profitability patterns.

Based on a panel data set of several thousand Indian firms, spanning the 26-year period between 1980-1981 and 2005-2006, the authors determine the relative importance of firm, industry and business group effects in explaining manufacturing firms’ profitability variances across different institutional phases. The authors evaluate three propositions that help assess transition dynamics between phases. They determine the quantum of catch-up or falling behind by firms.

Different industries emerge as profitability leaders, as the economy progresses through different liberalization phases. Business groups that have been more effective in resource appropriation, rent-seeking, politician management and non-market activities in a controlled regime are replaced as profit leaders by those that, in a free-market economy, can be capable of intra-business resource allocation tasks and leveraging corporate capabilities.

The approach demonstrates how to analyze the underlying detailed structure of firm-level data, and performance outcomes, to derive nuanced interpretation of factors giving rise to the effects that explain profitability variances, and how to assess the way these effects behave over time. The dynamic evidence-based approach highlights what factors matter, where, when and why, in influencing profitability variances, which are a key dimension of industrial and economic performance.

The purpose of this paper is to estimate the impact of industry and occupation skills on the wages of displaced workers due to firm closure.

Using linked employer-employee data on displaced workers, this paper estimates the impact of industry and occupation tenure on post-displacement wage changes correcting for endogeneity with a multinomial logit model.

The evidence suggests that occupation has more specific skill requirements than industry. Displaced workers moving both industry and occupation suffer a higher wage decline than those changing only industry or occupation. Furthermore, the transferability of skills varies across occupations and industries; more specifically, intermediate-level occupations are more demanding in specific skills and impose higher wages losses for displaced workers. Finally, the economic crisis reduced the return on firm-specific skills only in some cases.

The examination of skill specificity/transferability helps firms, workers and policy makers to draw strategies and policies to improve their individual situation and social welfare. The analysis suggest that when experienced workers are displaced and forced to find a job in a different industry, they suffer considerable wage cuts. While displacement imposes costs to workers and society, different choices impact wages differently.

To the authors’ best knowledge, this is the first paper studying the simultaneous impact of industry and occupation tenure on wages using displaced workers due to firm closing. The paper also corrects for the selection of different alternatives after the displacement and uses data from a country characterised by low-job flows and low-worker flows. Finally, the impact of economic crises on return to skills is assessed.

Deregulation shifts the responsibility for mitigation of agency problems from the regulatory parties to the firms' shareholders. We investigate whether and how governance structure changes in response to the dynamics of the new business environment after the Regulatory Reform Act of 1994 for the US trucking industry. We show that deregulation increases market competition in the trucking industry. The deregulated trucking firms not only adjust internal governance structure but also alter antitakeover provisions to adapt themselves to the competitive status of business environment after deregulation.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

Much of the extant management research implies that the existence of industries and organizations depends on variables and factors largely beyond their control, and survival is the result of a happy confluence of their origins, events, and growth rather than actions of conscious volition. The authors suggest that industry circumstances can be overcome. So, rather than studying rates of organization population change as effects of environmental change, the authors propose that some managerial actions can be taken that, in the aggregate, will affect the industry context. Changes in concentration should influence the environment in which industry members will compete later. Migration moves and rationalization of production facilities, along with organization population pressures, should exert strong influences on changes in the industry environments. Such findings suggest that some degree of strategic choice is at work and that firms have some discretionary choice in their industries.

The purpose of this study is to examine factors that predict industry‐level career change among MBA graduates.

The study analyzed longitudinal data from the Management Education Research Institute (MERI)'s Global MBA Graduate Survey Dataset and MBA Alumni Perspectives Survey Datasets, using principal component analyses and a three‐stage structural equations model.

Perceptions about career growth and opportunity for advancement were the strongest predictors of industry shifts. The type of program was also found to have an influence, with part‐time MBA programs positively predicting industry shift, and full‐time programs having an indirect effect through significant associations with each of the intermediate predictors of industry shifts. Women were found to be more likely to change industries. Satisfaction with the MBA degree was not a predictor of industry change behavior: they were found to be related only to the extent that graduates valued the importance of certain career factors, such as the objective career factor of career growth.

This is a first large scale study of industry‐level career change among MBA graduates.