The effects of Six Sigma on corporate performance: An empirical investigation

The purpose of this study is to investigate the impact of adopting Six Sigma on corporate performance. Although there is a fairly large and growing body of anecdotal evidence associated with the benefits of implementing Six Sigma, there is very little systematic and rigorous research investigating these benefits. This research extends previous research in several important ways including utilizing a sample of 84 Six Sigma firms that represent a wide variety of industries and firm characteristics, utilizing rigorously constructed control groups to ensure the validity of our comparisons and conclusions, and investigating the impact of adopting Six Sigma on corporate performance over a ten year period. To carry out this investigation, the event study methodology is employed. The ten year period consists of three years prior to Six Sigma implementation, the event year corresponding to the year Six Sigma is adopted, and six years post Six Sigma implementation. To assess the impact of adopting Six Sigma on corporate performance we utilize commonly used measures including Operating Income/Total Assets (OI/A), Operating Income/Sales (OI/S), Operating Income/Number of Employees (OI/E), Sales/Assets (S/A), and Sales/Number of Employees (S/E). The sample Six Sigma firms are compared to different benchmarks including the overall industry performance and to the performance of carefully selected portfolios of control firms. The results of the study indicate that adopting Six Sigma positively impacts organizational performance primarily through the efficiency with which employees are deployed. More specifically, enhanced employee productivity results were observed in both static analyses that assessed the performance of the sample Six Sigma firms relative to their control groups at discrete points in time and dynamic analyses of the Six Sigma firms’ rate of improvement relative to the rate of improvement of their control groups. Benefits in terms of improved asset efficiency were not observed. Finally, there was no evidence that Six Sigma negatively impacts corporate performance.     

An investigation of cultural cohesion in a community bank

This study examines the culture of a medium-sized community bank based in the Western United States. The study aims to identify the organization's culture and then measure the level of cultural cohesion that exists three years after a major cultural campaign was launched. The cultural characteristics the organization valued most highly were integrity, willingness to serve the customer and teamwork - all components of the official bank document on culture. Interestingly, the analysis uncovered some significant value differences among different employee groups and also employees and management; differences which can affect firm performance levels. The analysis also revealed that changing the culture in an organization does not necessarily lead to cultural cohesion.     

An investigation of ingratiation as a career management strategy: evidence from Singapore

In spite of the recognition that career politics, and therefore ingratiation, is widely used to manage careers, there is a dearth of empirical studies on ingratiation as a career management strategy. Consistent with Ferris and Kacmar's (1988) suggestion, the study reported here investigated the conditions (defined by situational variables, career concerns and personality variables) under which ingratiation is used as a career management strategy. Data were obtained through a structured questionnaire from professional employees (N = 214) in public and private sector organizations in Singapore.

Factor analysis of the 21-item career concerns scale revealed four solutions representing internal and external career concerns. The results of the hierarchical regression revealed that situational variables explained most of the variance in ingratiation, followed by career concerns and personality variables. Among the individual variables, task ambiguity, supervisor reward power, managerial responsibility and need for achievement were significant while personal success approached significance. Internal career concern of autonomy development was unrelated to ingratiation. Of the interaction terms, only supervisor reward power and Machiavellianism approached significance. Directions for future studies are suggested.     

An investigation of labor assignment rules in a dual-constrained job shop

One of the management decisions required to operate a dual-constrained job shop is the labor assignment rule. This study examines the effects of various labor assignment rules on the shop's performance. Eleven different labor assignment rules are simulated. A longest-queue rule and the traditional counterparts of the first-in-system, first-served, shortest operation time, job due date, critical ratio and shortest processing time dispatching rules are used to determine to which work center available workers should be transferred. Also tested are five new labor assignment rules that use an average of the priority values of all jobs in queue at a particular work center to determine whether that work center should receive the available worker.A SIMSCRIPT simulation program that models nine work centers provided the mechanism by which these rules were tested. Five dispatching rules, the counterparts of the five “traditional counterpart” labor assignment rules mentioned earlier, provided different shop environments. Also, the level of staffing of the work centers was altered to provide additional ship environments. Staffing levels of 50% and 67% were employed.The results show that none of the eleven labor assignment rules had a significant impact on shop performance. This is an important result because it implies that a manager can make the labor assignment decision based on other criteria such as ease or cost of application of the rules. These results were relatively insensitive to the shop environment, as represented by the dispatching rule and the staffing level.     

Modality analysis: a semantic grammar for imputations of intentionality in texts

Modality analysis is a text analysis methodology that affords comparisons of how people from distinct cultural contexts differ in their accounts of why one or more of their numbers find specific activities possible, impossible, inevitable, or contingent. The technique is built around a two-part semantic grammar, the application of which involves the identification of modal clauses in texts, the classification of these clauses according to their modal forms, and the identification of rationales associated with the clauses’ modalities. We show that with sufficient training the method affords high interrater agreement. After providing a few tips on data-collection strategies, results are presented from a modality analysis of editorials sampled from the Arab newspaper, Al Riyadh, and the Hindi newspaper, Hindustan. The analysis illustrates how modal expressions can be used in locating well-known (e.g., Islamic and Hindu) cultural characteristics from among the vast quantities of discourse that societies continuously generate.     

Benchmarking institutional variety in the eurozone: An empirical investigation

The European debt crisis has shown that the future of the European Union (EU) depends on the willingness of each member country to implement responsible policies, avoid moral hazard and uncooperative attitudes, and ensure stability and soundness. However, the European institutional variety means that each member country reacts differently to shocks and policies, follows a different path of recovery, and adapts to common institutions, including the common currency, in different ways. Helping countries to converge toward a situation that guarantees well-being, stability, and development at the national and community level is the goal of the European benchmark. This benchmark is a framework inspired by European treaties that, through the distance-to-frontier score methodology, aims to measure member countries’ performance and identify inefficiencies and negative externalities within the economic, social, and political institutions of each member country. The paper presents an empirical investigation of the European benchmark. Based on the results obtained, all countries can improve their performance, and none of them can be considered a model for the others. However, the Mediterranean and post-communist countries have more challenges to face and therefore need to make greater efforts.     

An investigation of the parameters of a simple mean-field model

In a recent work Gallo et al. (Math Models Methods Appl. Sci. 19:1427–1439, 2009) examined the parameters for a simple mean-field model of social interactions. Their work presented the model, raw data and parameter estimates with associated confidence intervals for a 4-year period. Here the problem is re-examined in greater mathematical detail and associated estimates evaluated. In particular exact results are obtained for a selection of any 3 years and parameters estimated for a 7-year period, the full extent of the data.     

An application of rule-based forecasting to a situation lacking domain knowledge

Rule-based forecasting (RBF) uses rules to combine forecasts from simple extrapolation methods. Weights for combining the rules use statistical and domain-based features of time series. RBF was originally developed, tested, and validated only on annual data. For the M3-Competition, three major modifications were made to RBF. First, due to the absence of much in the way of domain knowledge, we prepared the forecasts under the assumption that no domain knowledge was available. This removes what we believe is one of RBF’s primary advantages. We had to re-calibrate some of the rules relating to causal forces to allow for this lack of domain knowledge. Second, automatic identification procedures were used for six time-series features that had previously been identified using judgment. This was done to reduce cost and improve reliability. Third, we simplified the rule-base by removing one method from the four that were used in the original implementation. Although this resulted in some loss in accuracy, it reduced the number of rules in the rule-base from 99 to 64. This version of RBF still benefits from the use of prior findings on extrapolation, so we expected that it would be substantially more accurate than the random walk and somewhat more accurate than equal weights combining. Because most of the previous work on RBF was done using annual data, we especially expected it to perform well with annual data.     

The concepts of power in international business negotiations: An empirical investigation

This article examines the bases of social power, namely individual information power, expert power, legitimate power, and referent power on successful international business negotiations (IBNs). The author conducted an online survey among international business executives working in the UK for multinational corporation subsidiaries who were asked to report on the success of their most recent negotiating experience in terms of cooperative (integrative) and competitive (distributive) outcomes. Information power, expert power, and referent power were supported by these results in terms of significance. Unexpectedly, however, information power was positively correlated with integrative or cooperative outcomes and processes. The correlation related to legitimate power was negative but not statistically significant so this hypothesis was not supported. Our results not only contribute to international negotiation theory, but also can assist in the selection and training of practitioners. The academic contribution of this study also relates to model exploration. It brings causal statistical objectivity to qualitatively developed concepts as an essential step in development of knowledge. These theoretical and managerial implications of the study are examined. Furthermore, directions for future research that build on the findings of the study are indicated.     

The effects of supplier-to-buyer identification on operational performance—An empirical investigation of inter-organizational identification in automotive relationships

Over the past decade conceptual and empirical research in operations management has embraced the idea that collaborative supplier-buyer relationships are a source of competitive advantage for manufacturing firms. Anecdotal evidence from the Japanese and U.S. automotive industry and emerging research suggests that inter-organizational identification of suppliers with their buyers, termed supplier-to-buyer identification, is an unexplored factor of relational advantage. This study presents a model and empirical test that supplier-to-buyer identification fosters superior operational performance by enhancing trust, supplier relation-specific investments, and information exchange. Through a survey of 346 automotive supplier-buyer relationships, the findings show that supplier-to-buyer identification directly impacts supplier relationship-specific investments and information exchange, although most of the latter effect is mediated by trust. The findings also indicate that supplier relation-specific investments and information exchange play different but complementary roles in influencing operational performance. The results suggest new directions for supplier-buyer relationship research in operations management and important managerial implications.     

How to learn new tasks: Shop floor performance effects of knowledge transfer and performance feedback

We investigate how learning and the task performance of individuals are affected by different forms of knowledge transfer. Whereas previous research has proven the positive performance impacts of knowledge transfer, self-observation and feedback mechanisms individually, we explore the cumulative effect of these factors on learning and performance. With the help of two laboratory experimental studies reproducing manufacturing tasks that are typical for industrial production, we show that explicit knowledge transfer is superior to other forms of knowledge transfer. Externally provided performance feedback in the form of cost information and non-financial performance indicators has no effect on the order of different forms of knowledge transfer. Moreover, external feedback does not even have an additional significant performance effect on learning new tasks irrespective of the type of knowledge transfer.     

我国新股首日回报率的实证分析

新股首日超额回报是世界范围的一种普遍现象,而在我国尤为突出,国内外对此给出了各种解释,但至今尚未形成一致性认识,文章选取1996年1月至2004年12月在我国上海证券交易所上市的616只A股为样本,进行了横截面的分析后发现:信息不对称并非我国新股折价的主要原因,我国新股折价是由二级市场投机引起。     

An investigation of managerial interventions in employee disputes

Seventy four university managers described up to six recent conflicts and reported on their intervention strategies. Findings show that managers use a range of strategies, including overlooking, as interventions for employees’ disputes, instead of favoring the use of any particular one. Choices of intervention strategies were influenced by the type of issue being disputed, the seriousness of the dispute, and managers’ self-efficacy with mediation. Specifically, managers most frequently used mediation to resolve task-related disputes, and tended to use a variety of different strategies to intervene in personality conflicts. When managers perceived conflicts to be highly serious, they most frequently used mediation, followed by arbitration, offering incentives, and lastly, overlooking. Managers with a high degree of mediation self-efficacy more frequently mediated employees’ disputes, whereas managers with a low degree of mediation self-efficacy more frequently overlooked employees’ disputes. Theoretical and practical implications of these findings are discussed.     

Multi-step forecasting in emerging economies: An investigation of the South African GDP

To forecast at several, say h, periods into the future, a modeller faces a choice between iterating one-step-ahead forecasts (the IMS technique), or directly modeling the relationship between observations separated by an h-period interval and using it for forecasting (DMS forecasting). It is known that structural breaks, unit-root non-stationarity and residual autocorrelation may improve DMS accuracy in finite samples, all of which occur when modelling the South African GDP over the period 1965–2000. This paper analyzes the forecasting properties of 779 multivariate and univariate models that combine different techniques of robust forecasting. We find strong evidence supporting the use of DMS and intercept correction, and attribute their superior forecasting performance to their robustness in the presence of breaks.     

Credit in the euro area: An empirical investigation using aggregate data

This paper uses multivariate cointegration techniques to estimate a model of aggregate bank lending in the euro area. The model provides a quantitative benchmark for assessing conjunctural developments in loans to the area-wide private sector. Large and protracted deviations of realised loans from the paths implied by the model may reveal information about the emergence of financial imbalances as well as about the state of the economy, particularly about the strength of inflationary pressures. A specific application of the model shows that its error-correction term contains information on future changes in inflation over forecast horizons of relevance for monetary policy.     

The concept of individual semantic maps in clinical psychology: a feasibility study on a new paradigm

In this paper we propose a new technology able to map the underlying connection scheme among several psychological variables in a single individual. Nine patients with chronic heart failure underwent at regular intervals, two electronic questionnaires to evaluate depression (STAI—short form) and anxiety (STAY-6). Individual semantic maps were developed by Auto Contractive Map, a new data mining tool based on an artificial neural networks acting on the small data set formed by questionnaires items applied serially along time. The clinical psychologist involved in the clinical evaluation of the cases was asked to score the consistency between the information emerging from the graph depicting the structure of the main relationships among items and the clinical picture resulting from the psychological colloquium. All cases reported overall judgments of a good consistency suggesting that the mathematical architecture of the system is able to capture in the dynamics of items value variations through time the underlying construct of the patient psychological status. This technology is promising in remote monitoring of patients’ psychological condition in different settings with the possibility to implement personalized psychological interventions.     

An interactional perspective on perceived empowerment: the role of personal needs and task context

This study examines the influence of individual needs and task characteristics on a multifaceted definition of perceived empowerment using an interactional perspective. Respondents were Hong Kong Chinese employees and most of them lower-level or nonmanagerial level workers in business organizations. We used regression analyses to test a number of hypotheses informed by social psychology theories. The significant findings indicate that perceived empowerment is predicted by individual characteristics (need for achievement, need for power), task situations (receipt of task feedback, competency-based reward system, participation in goal setting) and their interactions. Limitations of the study and implications for future research are discussed.     

Unemployment Duration: An Analysis of Incomplete,Completed, and Multiple Spells in Emilia-Romagna

Sets of incomplete and completed spells of unemployment wereobtained from the Italian Quarterly Labour Force Survey,carried out by ISTAT in Emilia-Romagna (1993:1–1995:1).The data were analysed through a proportional hazards modelwith a Weibull specification of the baseline hazard, includingboth unobserved heterogeneity applied to the scale parameterof the duration distribution, and telescoping effect to accountfor spikes in the distribution of unemployment spells.They were compared formally also with a non-proportional hazardmodel based on a log-logistic distribution of duration.The estimation of the parameters was carried out separately on bothcompleted spells and quarterly incomplete spells to ascertaindifferences and to envisage the potential seasonal effect.The results showed that the shape parameters changed over time.The parameters of each covariate proved to be statisticallystable over time and were also equal to the parameters ofthe completed spells model.Therefore, the analysis of incomplete spells is fairly feasiblewhen an even (closed form) baseline hazard function is suitablefor data.     

私人咨询顾问:咨询顾问服务领域的创新模式

在企业的成长过程中,经常会出现各种疑难杂症,就好比人的一生中时常会生病一样.当人们感到自己生病且不知道该服用何种药剂来缓解病症的时候往往首先想到的是尽快找医生来为自己看病配药,那么,企业在遇到自己内部无法解决的难题的时候该怎么办呢?大多企业的领导会寄希望于通过求助咨询顾问或外脑的方式来帮助其排忧解难.