Evaluating the impact of lean practices on environmental performance: evidences from five manufacturing companies

Abstract

Previous evidence suggests that lean practices help organizations to enhance environmental performance. However, the impact of lean practices on the environment is still unclear. This study, therefore, aims to analyse the relationship between lean and environmental performance in two main stages: first, a review of the relevant literature was developed, followed by a multiple case study analysis conducted in five manufacturing companies. Onsite data were collected from the firms during a 5 years’ time span of research and developing semi-structured interviews. Findings indicate that the environmental performance of the companies analysed is generally enhanced in the long-term after the implementation of lean. Moreover, the results suggest that the environmental performance of the firms investigated is mainly improved by using JIT and TQM practices in a lean transformation context. The research findings provide further results remarking the possible negative impact of Kanban deliveries, 5S and TPM on various environmental performance indicators.     

Measure of internalized sexual stigma for lesbians and gay men: a new scale

The goal of this study is to propose a new Measure of Internalized Sexual Stigma for Lesbians and Gay Men (MISS-LG) that assesses three dimensions of internalized homonegativity: identity, social discomfort, and sexuality. A convenience sample of 735 Italian lesbians and gay male participants was used to demonstrate the psychometric validity of the scale. Results of confirmatory factor analysis supported three identifiable factors reflecting theoretically based constructs of the MISS-LG. The correlations with other instruments demonstrate the convergent validity: lesbian and gay participants with high internalized sexual stigma describe lower levels of self-disclosure and wellbeing. Implications for research and practice are discussed.     

Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?

Integrated assessment models offer a crucial support to decisionmakers in climate policy making. For a full understanding and corroboration of model results, analysts ought to identify the exogenous variables that influence the model results the most (key drivers), appraise the relevance of interactions, and the direction of change associated with the simultaneous variation of uncertain variables. We show that such information can be directly extracted from the data set produced by Monte Carlo simulations. Our discussion is guided by the application to the well‐known DICE model of William Nordhaus. The proposed methodology allows analysts to draw robust insights into the dependence of future atmospheric temperature, global emissions, and carbon costs and taxes on the model's exogenous variables.     

Foreign direct investments in manufacturing by district firms: evidence from the Italian chair district

Manufacturing internationalisation is a phenomenon that currently involves several industrial districts. While the literature on industrial districts is wide, few works analyse the (manufacturing) internationalisation dynamics. This study tries to fill this lack by analysing forms, motivation, obstacles and results of the foreign direct investments carried out in one of the most important Italian districts. The research shows how some of the district leading firms have recently combined local presence with a strategy of internationalisation that also involves manufacturing activities through foreign direct investments. The readers can comprehend the main features of the international manufacturing path that is involving one of the most important Italian industrial districts, i.e. the chair district. The research offers a contribution to an area rather neglected in literature – the district (manufacturing) internationalisation dynamics.     

Theorizing the relationship between inequality and economic growth

This article explores a promising theoretical approach for reassessing the relationship between inequality and economic growth. The article draws some insights from the influential inverted U-curve hypothesis originally advanced by Simon Kuznets, but drastically recasts the original arguments by shifting two fundamental premises. First, retaining Kuznets’s emphasis on the importance of economic growth in generating demographic transitions between existing and new distributional arrays, we argue that a “constant drive toward inequality” results after replacing a Schumpeterian notion of “creative destruction” for the dualistic assumptions in Kuznets’s model. Second, while Kuznets devoted considerable attention to the impact of institutions on distributional outcomes, we argue that institutions should be understood as relational and global mechanisms of regulation, operating within countries while simultaneously shaping interactions and flows between nations. The article argues that economic growth, unfolding through institutions embedded in time and space, produces a constant drive towards inequality that results in a multiple and overlapping matrix of distributional arrays, an overall income distribution (e.g., within and between countries) that is both systemic and historical.     

Darwinist connections between the systemness of social organizations and their evolution

Is the systemness of social organizations related to their evolution? This research question has not yet received appropriate attention by the literature on management and organization theory. The author believes that addressing it can constitute a substantive opportunity to understand key intertwined associated processes, such as organizational survival, competitive success/advantage, or failure. In this article, the author attempts to contribute to fill the aforesaid gap adopting a critical Darwinist approach.     

Engineer-to-order (ETO) production planning and control: an empirical framework for machinery-building companies

This paper illustrates the results of an empirical study involving 21 engineer-to-order (ETO) companies, operating in the machinery-building industry. The study investigates the needs and requirements of such companies in terms of software support for governing the businesses, with particular emphasis on production planning and control (PPC) processes. An empirical analysis investigated two main aspects: (i) the set of business activities performed by the companies in the analysed industry and (ii) the relevant, high-level software functionalities required for the execution of such activities. As an answer to the observed compelling need for reviewing the general approaches to PPC in machinery-building companies, we develop an empirical, high-level production planning and scheduling reference framework, encompassing all the activities involved in the order fulfilment process.