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The Fourth Industrial Revolution is a prominent area of interest in the field of manufacturing that is bringing about revolutionary changes. In this study, the authors sought to determine whether professionals in academia or industry could have predicted the composition of advanced technologies associated with Industry 4.0 before Germany's Industrie 4.0 policy announcement. The purpose of this paper is to use the process for identifying technologies that can be included in industrial policy to improve national competitiveness in manufacturing.

Relevant documented research from 2000 to 2012 was identified and captured using a systematic literature review. The significant technological advancements during this period were analyzed to determine how technological innovations may have affected predictions about the future of manufacturing. The identified predictions were analyzed using an open-source natural language processing code that clustered relevant topics in the predictions that indicated common themes. The results were then compared to the ideas within “Industry 5.0”.

The results of this study showed that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution and could have been used to inform industrial policy that could accelerate technology adoption. Also, contrary to popular belief, the popular Industry 5.0 is a sematic exemplification of a concept already embedded within the origins of the Fourth Industrial Revolution.

By examining the provenance of the Fourth Industrial Revolution, lessons are learned that bring light to Industry 4.0 and the measures that can be taken to enable the advancements that it brings. The results of this study show that is would be wise for government policymakers to enact programs that monitor the manufacturing predictions coming out of academia and to analyze them aggregately using natural language processing as a means to identify the next evolutions and revolutions and to mobilize policymakers to enhance outcomes of enacting policy.

Despite high hopes for the realization of Industry 4.0, there has been little discussion about the technological innovations and events that occurred to enable it. To the best of the authors’ knowledge, this is the first study that has determined that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution. The success of the methodology used in this study has theoretical implications in support of natural language processing (NLP) being used to inform national policy.

This paper aims to analyze the median price for existing single-family housing units in Las Cruces, New Mexico. The proposed theoretical model accounts for the interplay between supply and demand sides of a metropolitan housing market.

This study analyzes the median price for existing single-family housing units in Las Cruces, New Mexico. The proposed theoretical model accounts for the interplay between supply and demand sides of a metropolitan housing market. Explanatory variables used in the analysis are real per capita income, the housing stock, real mortgage rates, real apartment rents and the median real price of single-family units in the USA. Annual frequency data are collected for a 1971–2017 sample period. Parameter estimation is completed using two-stage generalized least squares. Empirical results confirm several, but not all, of the hypotheses associated with the underlying analytical model. In particular, Las Cruces housing prices are found to be reliably correlated with local income and national housing prices.

Empirical results confirm several of the hypotheses associated with the underlying analytical model. In particular, Las Cruces housing prices are found to be reliably correlated with local income and national housing prices.

Results obtained support only a subset of the hypothetical relationships associated with the theoretical model. Additional testing for other small and/or medium sized is required to clarify whether these outcomes are unique to Las Cruces.

Local income fluctuations and national housing price fluctuations appear to be reliably related to housing price fluctuations for this metropolitan economy.

Comparatively little housing market research has been conducted for small and medium size urban economies. There is no guarantee that results obtained for large metropolitan housing markets are representative of smaller regional housing markets. The model developed has fairly moderate data requirements and may be applicable to other small and medium size economies such as Las Cruces.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

The purpose of this paper is to explore the phenomenon of organizational unlearning with a focus on challenging path dependence and its implications on the organizational change field. By generating a taxonomy of unlearning definitions and examining the dimensions, actors and processes involved, the authors aim to offer a holistic understanding of organizational unlearning and its potential applications for organizations facing ambiguity and uncertainty.

This conceptual paper draws the literature on organizational unlearning to map existing definitions and categorize them into a comprehensive taxonomy to propose a model focused on the outcomes.

The findings highlight that organizational unlearning involves the three main organizational dimensions (micro: individuals; meso: groups; macro: organizations) and that the macro-organizational perspective represents the best fit for the concept. Furthermore, the authors’ argue that the most appropriate process for understanding the unlearning phenomenon is through challenge, as it allows the questioning of the present and facilitates critical reflection. Finally, applying organizational unlearning to path dependence concept, the authors’ posit that organizations can overcome negative transfer effects and build new awareness to reinterpret their dependencies in light of environmental changes.

This study contributes to the literature on organizational unlearning by providing a comprehensive taxonomy of definitions, clarifying the dimensions, constructs and processes involved. The integration of challenging path dependence with organizational unlearning offers a novel perspective on the potential for organizational change field. The paper’s findings have practical implications for organizations striving to survive and develop in uncertain environments.

Despite its strategic importance, researchers have given little attention to when CEOs are willing to delegate decisions to top management team members. Prior studies and conventional wisdom suggest that CEOs will be more willing to delegate in times of good performance. Drawing from prospect theory, we suggest an alternative view: that CEOs will be risk‐averse and, therefore, less willing to delegate when their firms have performed well. Our findings provide support for both perspectives.

Unions and worker cooperatives have long represented distinct approaches to building worker voice. This paper draws from observations of the work of the “Co-op Exploratory Committee” of 1199SEIU, the nation’s largest union local, which is seeking to expand the development of unionized worker cooperatives. Described by Martin Luther King, Jr, as his “favorite” union, 1199SEIU has a storied history of organizing frontline healthcare workers and includes large numbers of women of color and immigrant workers among its membership. Since 2003, it has also represented workers at Cooperative Home Care Associates, the nation’s largest worker cooperative. Drawing from discussions among union officials, co-op leaders, and rank-and-file union members about the potential role of unionized worker cooperatives within the labor movement, the paper examines the creative tension between stakeholder and democratic logics in efforts to expand this model. It argues that continued union decline, heightened interest in economic alternatives, and systemic frailties exposed by Covid-19 may create new opportunities for building unionized worker co-ops at scale.

Organizational learning capabilities are embedded in organizational communication systems and processes related to knowledge creation and articulation. The emergence of new organizational forms (such as horizontal organizations) in rapidly‐changing environments and hyper‐competitive markets underscores the need to better understand these foundational sources of learning. In fact, the reason horizontal organizations may find success is that their structure is intended to promote communications systems and processes which enhance a knowledge‐response sequence similar to a stimulus‐response sequence associated with learning. These systems permit managers to quickly gather information, respond with agility in making decisions, and continue to make ongoing adjustments. Firms which understand the need to build their communications capabilities may be characterized as meta‐learning organizations. Resource‐based theory suggests that communications systems and processes are thus sources of competitive advantage. Future empirical research on organizational learning may progress by evaluating specific measures of communication process as proxies for learning processes.

Although two decades have passed since the publication of Walsh and Ungson’s (1991) seminal article on organizational memory, there has been only limited theoretical elaboration and application of this critical aspect of cognition in the strategic management literature. We remedy this gap by advancing the construct of competitive memory, which we define as a firm’s dynamic capability consisting of stored information from its past competitive interaction with a given rival that can be brought to bear on present or future competitive actions. We theorize that competitive memory is composed of both procedural and declarative elements and can be accessed automatically and deliberatively. Additionally, we suggest that competitive memory is relational: As rivals within a competitive set interact in the market, competitive memory drives not only their strategic actions, but also their expectations about their competitors. Last, competitive memory is also dynamic, which can be constructed and reconstructed over time by an organization’s enactment of its internal and external environments and by purposive memory trials with its competitive set.