Search results

Provides an explanation of Deming’s Theory of Profound Knowledge, which includes the four core values. Cites these as appreciation for a system, some knowledge of the theory of variation, a theory of knowledge and some knowledge of psychology. Defines leadership and the actions required to implement the Deming leadership method. Argues this implementation will clear most barriers which exist when starting any total quality management programme and will allow managers/supervisors to acquire enough knowledge to make the transformation from supervisory management to leadership excellence. States that only through applying the Deming principles first will any future improvement be successful.

Defines Deming’s concept of “profound knowledge”, and shows how it addresses both the behavioural and technical dimensions of leadership simultaneously. Suggests that the responsibilities of leaders are to solve problems and to help employees in any way possible by knowing how a system functions, how system components may cause variation, and what the system delivers. Suggests that this knowledge is crucial if the USA is to become a global quality leader.

The study aims to investigate the effect of corruption and crime on the investments by firms in emerging economies (EEs).

The study adopts the generalised methods of moments (GMM) estimator and data across 57 EEs.

The study shows that crime management, corruption and external quality assurance drive-up investments. Additionally, investments decline with firm age and crime incidence. Corruption and crime managements increase investments by exporting firms more than non-exporting firms investments. Also, external auditor services benefit investments by large firms more than small-medium firms.

There is a need for EEs to implement policies that will curtail corruption and create a level playing field and sustainable firm growth. EEs firms must be innovative to expand their productive investments and grow over time. Also, EEs firms should seek external quality certification, invest in internal security and monitor goods in transit.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Paul Samuelson was attracted to the irregular economic development pattern of some South American countries because of the links between economic performance and political factors. He discussed the influence of “populist democracy” on Argentina’s relative economic stagnation, which, he argued in the 1970s and early 1980s, served as a dangerous paradigm for the American economy under stagflation. Stagflation phenomena marked the end of Samuelson’s “neoclassical synthesis.” Moreover, he applied his concept of “capitalist fascism” to deal with military dictatorships in Brazil and (especially) in Chile. The Brazilian translation of his Economics in 1973 brought about a correspondence with Brazilian economists about the “fascist” features of the regime. The main variable behind the South American economic and politically unstable processes discussed by Samuelson was economic inequality, which became also a conspicuous feature of the American economy since the adoption of market-based policies in the 1980s and after.

The lack of clarity in defining data science is problematic in both academia and industry because the former has a need for clarity to establish curriculum guidelines in their work to prepare future professionals, and the latter has a need for information to establish clear job description guidelines to recruit professionals. This lack of clarity has resulted in job descriptions with significant overlap among different related professional groups. This study examines the industry view of five professions: statistical analysts (SAs), big data analytics professionals (BDAs), data scientists (DSs), data analysts (DAs) and business analytics professionals (BAs). The study compares the five fields with the unified backdrop of their common semantic dimensions and examines their recent dynamics.

1,200 job descriptions for the five Big Data professions (SA, DS, BDA, DA and BA) were pulled from the Monster website at four points in time, and a document library was created. The collected job qualification records were analyzed using the text analytic method of Latent Semantic Analysis (LSAs), which extract topics based on observed text usage patterns.

The findings indicated a good alignment between the industry view and the academic view of data science as a blend of statistical and programming skills. This industry view remained relatively stable during the 4 years of our study period.

This research paper builds upon a long tradition of related studies and commentaries. Rather than relying on subjective expertise, this study examined the job market and used text analytics to discern a space of skill and qualification dimensions from job announcements related to five big data professions.

Soon after the Lehman crisis, the International Monetary Fund (IMF) surprised its critics with a reconsideration of its research and advice on fiscal policy. The paper traces the influence that the Fund’s senior management and research elite has had on the recalibration of the IMF’s doctrine on fiscal policy. The findings suggest that overall there has been some selective incorporation of unorthodox ideas in the Fund’s fiscal doctrine, while the strong thesis that austerity has expansionary effects has been rejected. Indeed, the Fund’s new orthodoxy is concerned with the recessionary effects of fiscal consolidation and, more recently, endorses calls for a more progressive adjustment of the costs of fiscal sustainability. These changes notwithstanding, the IMF’s adaptive incremental transformation on fiscal policy issues falls short of a paradigm shift and is best conceived of as an important recalibration of the precrisis status quo.

This article provides a detailed investigation of how Lewis revisited classical and Marxian concepts such as productive/unproductive labor, economic surplus, subsistence wages, reserve army, and capital accumulation in his investigation of economic development. The Lewis 1954 development model is compared to other models advanced at the time by Harrod, Domar, Swan, Kaldor, Solow, von Neumann, Nurkse, Rosenstein-Rodan, Myint, and others. Lewis applied the notion of economic duality to open and closed economies.