The risk of falling into the acceleration trap during a privatization process: a case study of a European telecommunication company

A privatização de uma empresa é uma mudança empresarial disruptiva que geralmente coincide com o fim de uma posição de monopólio e da subsequente entrada num ambiente competitivo. Os desafios que a privatização coloca são tão árduos que eles levam muitas vezes a liderança (leadership) para executar planos ambiciosos de mudança empresarial. No entanto, a literatura mostra que muitos deles falharam. Na verdade, esses planos preveem mudanças bruscas e importantes que tendem a empurrar a empresa privatizada na armadilha de aceleração (acceleration trap). Um tipo de “burnout organizacional” (organizational burnout) onde a exaustão e a resignação da força de trabalho afetam drasticamente o desempenho da empresa. A tese, portanto, focalizou em estudar a ligação entre um processo de privatização e o risco de cair na armadilha de aceleração. Uma investigação preliminar sobre a literatura das mudanças empresariais permitiu a concepção de um quadro preliminar teórico que sugere a existência de dois moderadores (moderators) deste relacionamento entre um processo de privatização e a armadilha de aceleração: um “choque cultural” (cultural clash) e um “fraco clima de liderança transformacional” (weak transformational leadership). Em seguida, um estudo de caso - baseado numa empresa de telecomunicações europeia e conduzido através de uma abordagem metodológico não puramente indutivo (non-purely inductive approach) - confirma, mas também aprofunda a compreensão da ação desses dois moderadores. A respeito do moderador “choque cultural” (cultural clash moderator), a análise de dados do estudo de caso da empresa de telecomunicações europeia mostra a importância exercitado tanto por um “choque de identidade corporativa” (corporate identity conflict) como por um “conflito de identidade gerencial” (management identity conflict). Quanto ao moderador “fraco liderança transformacional”, a análise dos dados destaca o papel da “falta de confiança na nova gerência” (lack of trust in the new management), mas também de “sentido do trabalho” (lack of job sense), principalmente através da perda de “orgulho no trabalho” (loss of proudness). Finalmente, a análise dos dados salienta que a “não aceitação do novo sistema de incentivos” (non-acceptance of the new incentive system) afeta significativamente a relação entre a privatização e a armadilha de aceleração, contribuindo tanto para um “choque cultural” como para um “fraco clima de liderança transformacional”.

Quantitative risk analysis as a tool in process design

La Quantitative Risk Analysis costituisce un valido strumento per la determinazione del rischio associato ad un’installazione industriale e per la successiva attuazione di piani di emergenza. Tuttavia, la sua applicazione nella progettazione di un lay-out richiede la scelta di un criterio in grado di valutare quale sia la disposizione ottimale al fine di minimizzare il rischio. In tal senso, le numerose procedure esistenti, sebbene efficaci, risultano piuttosto faticose e time-consuming. Nel presente lavoro viene dunque proposto un criterio semplice ed oggettivo per comparare i risultati di QRA applicate a differenti designs. Valutando l’area racchiusa nelle curve iso-rischio, vengono confrontate dapprima le metodologie esistenti per lo studio dell’effetto domino, e successivamente, viene applicata al caso di serbatoi in pressione una procedura integrata di Quantitative Risk Domino Assessment. I risultati ottenuti dimostrano chiaramente come sia possibile ridurre notevolmente il rischio di un’attività industriale agendo sulla disposizione delle apparecchiature, con l’obiettivo di limitare gli effetti di possibili scenari accidentali.

Proposal on How To Conduct a Biopharmaceutical Process Failure Mode and Effect Analysis (FMEA) as a Risk Assessment Tool

With the publication of the quality guideline ICH Q9 "Quality Risk Management" by the International Conference on Harmonization, risk management has already become a standard requirement during the life cycle of a pharmaceutical product. Failure mode and effect analysis (FMEA) is a powerful risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to biopharmaceutical processes brings about some difficulties. The proposal presented here is intended to serve as a brief but nevertheless comprehensive and detailed guideline on how to conduct a biopharmaceutical process FMEA. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. The application for such a biopharmaceutical process FMEA is widespread. It can be useful whenever a biopharmaceutical manufacturing process is developed or scaled-up, or when it is transferred to a different manufacturing site. It may also be conducted during substantial optimization of an existing process or the development of a second-generation process. According to their resulting risk ratings, process parameters can be ranked for importance and important variables for process development, characterization, or validation can be identified. LAY ABSTRACT: Health authorities around the world ask pharmaceutical companies to manage risk during development and manufacturing of pharmaceuticals. The so-called failure mode and effect analysis (FMEA) is an established risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to pharmaceutical processes that use modern biotechnology (biopharmaceutical processes) brings about some difficulties, because those biopharmaceutical processes differ from processes in mechanical and electrical industries. The proposal presented here explains how a biopharmaceutical process FMEA can be conducted. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. With the help of this guideline, different details of the manufacturing process can be ranked according to their potential risks, and this can help pharmaceutical companies to identify aspects with high potential risks and to react accordingly to improve the safety of medicines.

Project risk management:a combined analytic hierarchy process and decision tree approach

Time, cost and quality achievements on large-scale construction projects are uncertain because of technological constraints, involvement of many stakeholders, long durations, large capital requirements and improper scope definitions. Projects that are exposed to such an uncertain environment can effectively be managed with the application of risk management throughout the project life cycle. Risk is by nature subjective. However, managing risk subjectively poses the danger of non-achievement of project goals. Moreover, risk analysis of the overall project also poses the danger of developing inappropriate responses. This article demonstrates a quantitative approach to construction risk management through an analytic hierarchy process (AHP) and decision tree analysis. The entire project is classified to form a few work packages. With the involvement of project stakeholders, risky work packages are identified. As all the risk factors are identified, their effects are quantified by determining probability (using AHP) and severity (guess estimate). Various alternative responses are generated, listing the cost implications of mitigating the quantified risks. The expected monetary values are derived for each alternative in a decision tree framework and subsequent probability analysis helps to make the right decision in managing risks. In this article, the entire methodology is explained by using a case application of a cross-country petroleum pipeline project in India. The case study demonstrates the project management effectiveness of using AHP and DTA.

Managing project risk using combined analytic hierarchy process and risk map

The main purpose of the study is to develop an integrated framework for managing project risks by analyzing risk across project, work package and activity levels, and developing responses. Design/methodology/approach: The study first reviews the literature of various contemporary risk management frameworks in order to identify gaps in project risk management knowledge. Then it develops a conceptual risk management framework using combined analytic hierarchy process (AHP) and risk map for managing project risks. The proposed framework has then been applied to a 1500 km oil pipeline construction project in India in order to demonstrate its effectiveness. The concerned project stakeholders were involved through focus group discussions for applying the proposed risk management framework in the project under study. Findings: The combined AHP and risk map approach is very effective to manage project risks across project, work package and activity levels. The risk factors in project level are caused because of external forces such as business environment (e.g. customers, competitors, technological development, politics, socioeconomic environment). The risk factors in work package and activity levels are operational in nature and created due to internal causes such as lack of material and labor productivity, implementation issues, team ineffectiveness, etc. Practical implications: The suggested model can be applied to any complex project and helps manage risk throughout the project life cycle. Originality/value: Both business and operational risks constitute project risks. In one hand, the conventional project risk management frameworks emphasize on managing business risks and often ignore operational risks. On the other hand, the studies that deal with operational risk often do not link them with business risks. However, they need to be addressed in an integrated way as there are a few risks that affect only the specific level. Hence, this study bridges the gaps. © 2010 Elsevier B.V. All rights reserved.

Analytic hierarchy process analyses risk of operating cross-country petroleum pipelines in India

The existing method of pipeline health monitoring, which requires an entire pipeline to be inspected periodically, is both time-wasting and expensive. A risk-based model that reduces the amount of time spent on inspection has been presented. This model not only reduces the cost of maintaining petroleum pipelines, but also suggests an efficient design and operation philosophy, construction methodology, and logical insurance plans. The risk-based model uses the analytic hierarchy process (AHP), a multiple-attribute decision-making technique, to identify the factors that influence failure on specific segments and to analyze their effects by determining probability of risk factors. The severity of failure is determined through consequence analysis. From this, the effect of a failure caused by each risk factor can be established in terms of cost, and the cumulative effect of failure is determined through probability analysis. The technique does not totally eliminate subjectivity, but it is an improvement over the existing inspection method.

The risk of adverse selection and its management in the process of venture capital investment (The experience of Hungarian investors)

Venture capitalists can be regarded as financers of young, high-risk enterprises, seeking investments with a high growth potential and offering professional support above and beyond their capital investment. The aim of this study is to analyse the occurrence of information asymmetry between venture capital investors and entrepreneurs, with special regard to the problem of adverse selection. In the course of my empirical research, I conducted in-depth interviews with 10 venture capital investors. The aim of the research was to elicit their opinions about the situation regarding information asymmetry, how they deal with problems arising from adverse selection, and what measures they take to manage these within the investment process. In the interviews we also touched upon how investors evaluate state intervention, and how much they believe company managers are influenced by state support.

Exploring therapy process and outcome in interventions that target at risk adolescents

The purpose of this study was to conduct a larger scale replication and extension study on the use of a Session Impact Measure the Session Evaluation Form. Ninety-one public high school students in Miami Florida were obtained through self or counselor referrals and placed in one or two of five counseling groups for one or two school semesters. To investigate differences in therapy processes across counseling groups, participants were administered a Session Evaluation Form at the end of each therapy session. This assessed group members' perception of four therapy process domains, Group, Facilitator, Skills and Exploration Impacts. The pattern significant results for the MANOVAs provided strong evidence for the greater impact of the group on therapy process relative to the impact of facilitator. Further research is needed to identify more specifically, ways, group process differences interact with other treatment variables.