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This study builds on the practice-based view of strategy to examine whether the three most commonly prescribed strategic planning best practices – scanning, communication openness and participative decision-making – actually strengthen the planning-performance relationship.

The study uses objective performance data and data from a survey of 159 managers from 43 publicly listed US firms to test the hypothesized moderation effects of best practices. The analysis uses hierarchical regression.

At high levels of planning, firms high in participative decision-making and low in openness and scanning outperform firms low in participation and high in openness and scanning. The results reverse at low levels of planning.

This is a cross-sectional study with a small sample. The response rate was modest; hence, the results should be treated as exploratory. Since the sample is not random, the results may not be generalizable.

While managers may find a best practice label helpful, the best practices implemented within a firm need to fit existing planning processes in order to increase planning effectiveness.

While academic scholarship sometimes struggles with generating actionable prescriptions for improving strategic planning, recommendations by practitioners lack empirical backing. This study builds on the practice-based view of strategy to bridge this gap. These results are consistent with both academic and practitioner literature on strategic planning in finding that the best practices of scanning, openness and participative decision-making strengthen the planning-performance relationship at different planning levels, possibly by underpinning the firm’s dynamic capabilities.

Planning is a perennially popular management tool with an ambiguous relationship to learning and performance. The purpose of this study attempts to resolve this ambiguity. The authors suggest that the critical question is not whether firms need learning for planning to influence performance, but when different firms experience different performance outcomes. The authors propose firms will benefit from strategic planning only when they learn from planning and have the resources to act on their learning.

The authors collected data from a survey of 293 individuals from 191 publicly listed US firms.

Organizational learning mediates the relations between strategic planning and organizational performance. This mediated relationship is positively moderated by high levels of human resource slack and moderate to high levels of financial slack.

The study provides evidence for previous theoretical arguments on the planning–learning relationship while extending this research by finding a complicated moderating effect of slack. The study also adds to the existing debate on optimal slack levels by suggesting that having bundles of slack resources may matter more than having uniformly high or low levels of slack. A cross-sectional study means the authors cannot infer causation.

While strategic planning is a common practice, companies may vary in their planning methodologies, influencing the outcomes of planning. Firms seeking to benefit from planning need to have both the mechanisms to learn from planning and slack to deploy these mechanisms.

These findings clarify the planning–learning–performance relationship while challenging the assumption of an average effect of planning on performance across firms.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.

The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

Job Corps is the United State’s largest and most comprehensive training program for disadvantaged youth aged 16–24 years old. A randomized social experiment concluded that, on average, individuals benefited from the program in the form of higher weekly earnings and employment prospects. At the same time, “young adults” (ages 20–24) realized much higher impacts relative to “adolescents” (ages 16–19). Employing recent nonparametric bounds for causal mediation, we investigate whether these two groups’ disparate effects correspond to them benefiting differentially from distinct aspects of Job Corps, with a particular focus on the attainment of a degree (GED, high school, or vocational). We find that, for young adults, the part of the total effect of Job Corps on earnings (employment) that is due to attaining a degree within the program is at most 41% (32%) of the total effect, whereas for adolescents that part can account for up to 87% (100%) of the total effect. We also find evidence that the magnitude of the part of the effect of Job Corps on the outcomes that works through components of Job Corps other than degree attainment (e.g., social skills, job placement, residential services) is likely higher for young adults than for adolescents. That those other components likely play a more important role for young adults has policy implications for more effectively servicing participants. More generally, our results illustrate how researchers can learn about particular mechanisms of an intervention.

This chapter is about an analysis and reflection on the actions, programs, and regulatory frameworks of the Mexican government for the promotion of entrepreneurial activity during the twentieth century. A documentary review is presented based mainly on the presidential reports available in the virtual legal library of the National Autonomous University of Mexico, the Center for Documentation, Information, and Analysis of the Chamber of Deputies (Cámara de Diputados), and various publications of experts on economic history, considering the twentieth century: from the year 1900 with the end of the Porfiriato until the six-year term of Ernesto Zedillo that ended in 2000. The public policies of these 100 years were reviewed and based on this, was analyzed the importance assigned to the creation, development, and consolidation of companies and their importance in public policies. Special emphasis is given to instruments for the creation of new businesses or the development and strengthening of small- and medium-sized enterprises.

This essay is a review of the recent literature on the methodology of economics, with a focus on three broad trends that have defined the core lines of research within the discipline during the last two decades. These trends are: (a) the philosophical analysis of economic modelling and economic explanation; (b) the epistemology of causal inference, evidence diversity and evidence-based policy and (c) the investigation of the methodological underpinnings and public policy implications of behavioural economics. The final output is inevitably not exhaustive, yet it aims at offering a fair taste of some of the most representative questions in the field on which many philosophers, methodologists and social scientists have recently been placing a great deal of intellectual effort. The topics and references compiled in this review should serve at least as safe introductions to some of the central research questions in the philosophy and methodology of economics.

Adolescent aggressive behavior has generated concern about/increasing rates of youth violence in schools. It is important to perform new research using different methods and approximations to obtain a better understanding of this multifactorial phenomenon. A poorly studied area consists of the presence of seasonal differences in adolescent aggressive behavior. Accordingly, several studies (with contradictory results) have found that adult aggressive behavior varies according to seasonality. The purpose of this paper is to use observational descriptive methods to analyze, during different seasons, adolescent aggressive behavior among students in schools of Santiago de Chile.

In all, 32 aggressive interactions between dyads of male adolescents (14-18 years) were recorded using observational methods (i.e. ethological methodology) in a complete academic class in two schools from Santiago de Chile. Subsequently, the paper constructed intensity aggressive indexes based on behavioral data.

The first contact, initiating aggressive interaction, and the aggression frequency were higher during warm season (i.e. spring) rather than cold season (autumn-winter). The aggression intensity of the complete interaction was higher during cold season. In addition, temperature was negatively associated to aggression intensity.

These results, apparently contradictory, can serve to support classic models used to explain seasonal differences in aggressiveness, where the intensity of the first aggression could be the mediator of aggressiveness intensity in the interaction. Finally, the paper proposes that seasonal differences must be taken into account as an impact factor over the frequency of adolescent male aggression in schools.

In 2014, the city of São Paulo began to implement the public policy “WiFi Livre SP.” This policy created the infrastructure for a WiFi network providing unrestricted internet connectivity in a 120 public squares, distributed in 5 geographical regions of the city (center, south, north, east, and west). In order to monitor the effectiveness of this public policy, a series of surveys were administered to users. The survey ascertained their views about the quality and frequency of the signal in the public squares.

To carry out analysis of this service a survey was used. The researchers camped out in the squares and flagged people down asking whether they could participate in the survey. Data was collected between August and October 2015, using an application for tablets developed by the research team.

The data showed that the networks functioned effectively and provided good service to the users. Another positive factor is the good signal evaluation in the public squares, since it was an initial concern of the project makers. Further, access to these networks made it possible for residents to use several platforms to communicate in an intensive fashion.

The findings show that a connectivity policy should be geared toward promoting the right of all citizens to access the internet regardless of their ability to pay. Free and full access without any sacrifices of privacy should be guiding principles in policy implementation.