Information but not consultation: exploring employee involvement in SMEs

Most research on employee involvement (EI) has focused on large or ‘mainstream’ organizations. By adopting those schemes which ‘appear’ to work well in larger organizations, smaller firms assume there will be enhanced employee commitment beyond formal contractual requirements. The main question in this paper is whether EI schemes designed by management will suffice under the 2004 Information and Consultation of Employees (ICE) Regulations. The paper focuses on SMEs which tend to favour informal and direct EI, and it remains unclear how these methods will be played out under the new regulatory environment. Evidence from four case studies is presented here and it suggests that the ICE Regulations impose new challenges for smaller firms given their tendency to provide information rather than consult with employees. It also appears organizational factors, workplace relations history and the way processes are implemented at enterprise level may be far more important than size itself.     

Characteristics and implications of Chinese macroeconomic data revisions

The research examining macroeconomic data for developed economies suggests that an understanding of the nature of data revisions is important both for the production of accurate macroeconomic forecasts and for forecast evaluation. This paper focuses on Chinese data, for which there has been substantial debate about data quality for some time. The key finding in this paper is that, while it is true that the Chinese macroeconomic data revisions are not well-behaved, they are not very different from similarly-timed U.S. macroeconomic data revisions. The positive bias in Chinese real GDP revisions is a result of the fast-growing service sector, which is notably hard to measure in real time. A better understanding of the revisions process is particularly helpful for studies of the forecast errors from surveys of forecasters, where the choice of the vintage for outcomes may have an impact on the estimated forecast errors.     

New methods for analyzing structural models of labor force dynamics

The economic theory of decision-making under uncertainty is used to produce three econometric models of dynamic discrete choice: (1) for a single spell of unemployment; (2) for an equilibrium two-state model of employment and non-employment; (3) for a general three-state model with a non-market sector. The paper provides a structural economic motivation for the continuous time Markov (or more generally ‘competing risks’) model widely used in longitudinal analysis in biostatistics and sociology, and it extends previous work on dynamic discrete choice to a continuous time setting. An important feature of identification analysis is separation of economic parameters that can only be identified by assuming arbitrary functional forms from economic parameters that can be identified by non-parametric procedures. The paper demonstrates that most econometric models for the analysis of truncated data are non-parametrically under-identified. It also demonstrates that structural estimators frequently violate standard regularity conditions. The standard asymptotic theory is modified to account for this essential feature of many structural models of labor force dynamics. Empirical estimates of an equilibrium two-state model of employment and non-employment are presented.     

Uncertainty,the Lemon Problem,Asymmetric Information and Countertrade

Abstract

A review of the International Trade literature suggests that uncertainty caused by the lack of perfect information and/or asymmetric information provides a motivation for countertrade (Hennart, 1990; Mirus & Yeung, 1986; Yavas & Vardiabasis, 1988). After presenting the most prevalent forms and examples of countertrade, this study shows how uncertainty can lead to some of the most common forms of countertrade; counterpurchase, buyback and offset. The paper compares and contrasts two strategies facing the management team of a profit-maximizing firm. The standard neoclassical mathematical model developed and presented shows that countertrade strategy may be superior to standard money-mediated trade strategy when there is uncertainty. Therefore, countertrade (particularly, buyback, counterpurchase and offset) may be a rational response to conditions that restrict standard trade. As such, countertrade can supplement standard money-mediated trade and contribute to the growth of international business.     

Population forecasting theory,methods and assessments of accuracy. The magnitude of error due to different vital processes in population forecasts

The accuracy of population forecasts depends in part upon the method chosen for forecasting the vital rates of fertility, mortality, and migration. Methods for handling the stochastic propagation of error calculations in demographic forecasting are hard to do precisely. This paper discusses this obstacle in stochastic cohort-component population forecasts. The uncertainty of forecasts is due to uncertain estimates of the jump-off population and to errors in the forecasts of the vital rates. Empirically based of each source are presented and propagated through a simplified analytical model of population growth that allows assessment of the role of each component in the total error. Numerical estimates based on the errors of an actual vector ARIMA forecast of the US female population. These results broadly agree with those of the analytical model. This work especially uncertainty in the fertility forecasts to be so much higher than that in the other sources that the latter can be ignored in the propagation of error calculations for those cohorts that are born after the jump-off year of the forecast. A methodology is therefore presented which far simplifies the propagation of error calculations. It is noted, however, that the uncertainty of the jump-off population, migration, and mortality in the propagation of error for those alive at the jump-off time of the forecast must still be considered.     

Heterogeneity of plural forms: A revised transaction cost approach

Strategies pushing firms to adopt plural forms and the heterogeneity of solutions they endorse have attracted increasing attention. This paper proposes a theoretical framework that combines asset specificity and uncertainty to explain why there are plural forms and focuses on the key role of uncertainty, within a given range of asset specificity, to predict what and when specific types of plural forms should be observed. Propositions derived from this model are tested on an extensive set of cases from the agribusiness sector. The empirical richness of these cases allows going beyond the existing literature, which has essentially focused on franchising.     

Organizational goals and values: A socialization model

Research on the content of socialization has incorporated multiple content areas into one general framework. However, it has been suggested that the organizational content areas actually assess different constructs, thus, researchers should examine the content areas independently. The purpose of this article is to present a model of socialization that focuses on the antecedents and outcomes of socialization in one specific content area: organizational goals and values. The model suggests that an individual's agreement with the organization's values (work value congruence) and the importance of the individual's own work values interact to determine the outcomes of socialization to the organizational goals and values. When there is low work value congruence, the individual may engage in detrimental behaviors if the individual has a strong belief in his/her own values.     

Dynamic models of the labor force behavior of married women which can be estimated using limited amounts of past information

This paper examines the extent of the inadequacy of standard cross-sectional models of US labor force behavior and considers the abilities of alternative models to capture the observed continuity in the hours of work and earnings of individuals as well as in their employment histories. Both of the alternatives to the standard cross-sectional model considered in this study incorporate limited amounts of information about past work behavior that could easily be collected as part of a national population census. Using a population of 21 to 64 year old married working women taken from a 1969 through 1978 Michigan Panel Study of Income Dynamics, the variables included in the Z vector age: 1) age of the wife; 2) education of the wife; 3) state average hourly wage in manufacturing measured in 1967 dollars; and 4) unemployment rate for the state in which the wife lives. Results show that by using information about a women's hours of work and wage rate in the previous year, it may be feasible to improve on forecasts of a woman's employment and earnings behavior. For each model a separate estimate is made for wives aged 21 through 46, and for those aged 47 through 64. The dummy and difference models perform much better than the standard model, with the dummy model having the higher pseudo-chi-square statistic. These models show that systematic errors made in determining which individuals work, what they earn per hour, or how many hours they work, should result in prediction errors of the same sort year after year in the computation of annual earnings. These findings with respect to years of work and nonwork, years of part time versus full time work, and cumulative earnings over a 10 year period, confirm and extend Heckman's findings; thus, forecasting models of the work behavior of individuals should not be estimated using pure cross-sectional data. It would be important if researchers could identify what observable factors, if any, increase the likelihood that wives will alter their work behavior from what it has been in the immediate past, even if they are not able to fully understand or explain this previous work behavior.     

我国城镇居民平均消费倾向与收入分配状况关系的实证研究

中国的有效需求不足现象近年来成为一个被普遍关注的问题,而居民消费需求不足更是成为关注的焦点。本文在前人研究的基础上,从标准的消费者预期效用最大化模型出发,推导出中国城镇居民的个体"短视"消费模型和总量消费模型;运用我国1985～2004年城镇居民消费、收入及其他相关数据,通过误差修正模型和对数线性模型分别对数据进行了计量分析,发现在我国现阶段,城镇居民收入分配差距的扩大引起了居民平均消费倾向的减小,且其长期影响尤为显著。在对计量结果进行分析的基础上,本文给出了若干政策建议。     

Corporate governance and workplace employment relations: the potential of WERS 2004

The relationship between corporate governance and workplace employment relations is reviewed drawing on the Workplace Employment Relations Survey 2004. The paper reviews recent analysis and policy developments, and then considers the contribution of earlier WERS‐based research on this topic. The innovations in WERS 2004 are outlined, and it is suggested these provide several opportunities for further analysis in this area. The paper then presents an illustrative example of the use of WERS 2004, and concludes with recommendations for further changes in future WERS surveys.     

Large panels with common factors and spatial correlation

This paper considers methods for estimating the slope coefficients in large panel data models that are robust to the presence of various forms of error cross-section dependence. It introduces a general framework where error cross-section dependence may arise because of unobserved common effects and/or error spill-over effects due to spatial or other forms of local dependencies. Initially, this paper focuses on a panel regression model where the idiosyncratic errors are spatially dependent and possibly serially correlated, and derives the asymptotic distributions of the mean group and pooled estimators under heterogeneous and homogeneous slope coefficients, and for these estimators proposes non-parametric variance matrix estimators. The paper then considers the more general case of a panel data model with a multifactor error structure and spatial error correlations. Under this framework, the Common Correlated Effects (CCE) estimator, recently advanced by Pesaran (2006), continues to yield estimates of the slope coefficients that are consistent and asymptotically normal. Small sample properties of the estimators under various patterns of cross-section dependence, including spatial forms, are investigated by Monte Carlo experiments. Results show that the CCE approach works well in the presence of weak and/or strong cross-sectionally correlated errors.     

历史城镇的文化商业旅游发展模式

通过探讨历史城镇保护与开发的关系,对中国历史城镇发展中几种典型的错误商业形态进行了总结,并指出适宜的旅游商业化开发对历史城镇发展的必要性。提出历史城镇的文化商业发展模式:在其地域文化的基础上,发掘传统文化的内涵,并与多种商业形式结合进行综合开发。     

Identification and estimation of Gaussian affine term structure models

This paper develops new results for identification and estimation of Gaussian affine term structure models. We establish that three popular canonical representations are unidentified, and demonstrate how unidentified regions can complicate numerical optimization. A separate contribution of the paper is the proposal of minimum-chi-square estimation as an alternative to MLE. We show that, although it is asymptotically equivalent to MLE, it can be much easier to compute. In some cases, MCSE allows researchers to recognize with certainty whether a given estimate represents a global maximum of the likelihood function and makes feasible the computation of small-sample standard errors.     

组织内知识共享的信任模型研究

随着知识经济时代的到来,知识管理已经成为学术界和企业界竞相关注的热点。在知识管理的相关研究中,知识共享和组织内部信任问题是研究的重点课题,但对两者的综合研究还不多见。本文在前人对知识共享和信任机制的研究基础上,整合两个概念,引入组织制度、认知因素、情感因素、信任倾向等影响因素,分析出一个全新的组织内知识共享的综合信任模型,希望能够帮助组织更好地理解信任机制,促进组织内知识共享行为。     

Does partnership at work increase trust? An analysis based on the 2004 Workplace Employment Relations Survey

In the late 1990s, partnership at work was embraced with some enthusiasm by a number of stakeholders in employment relations and incorporated in the 1999 Employment Relations Act. The implementation of the Information and Consultation Regulations has also been extensively signalled. We might therefore expect to see some evidence of partnership‐related practices in Britain. The 2004 Workplace Employment Relations Survey (WERS 2004) provides an opportunity to explore the extent of partnership practice, and also, for the first time, to explore its link to trust relations. This article reports evidence from WERS 2004 suggesting that partnership practice remains relatively undeveloped and that it is only weakly related to trust between management and employee representatives and to employees’ trust in management. Direct forms of participation generally have a more positive association with trust than representative forms. There is also modest evidence that trust may be associated with certain workplace outcomes. The case for partnership and more particularly representative partnership as a basis for mutuality and trust is not supported by this evidence.     

Student clubs: experiences in entrepreneurial learning

Student-led clubs that seek to enhance entrepreneurial learning can be found in many universities. Yet, like many areas of extra-curricular activity in entrepreneurship education, their role in supporting learning has not been researched widely. The paper introduces research that addresses this gap and investigates the nature of the learning process student's encounter when they take part in clubs. The study explores the literature on entrepreneurial learning; it examines the different concepts and considers their contribution to understanding student learning experiences. From the literature, a conceptual framework is presented, highlighting the key aspects of entrepreneurial learning relevant for the field research. The methodology is introduced, including a series of qualitative studies and a survey of students. The study focuses on two types of student-led clubs ‘entrepreneurship clubs’ and ‘Enactus clubs’ and provides a comparative analysis. The findings reported show a range of student learning benefits that simulate important aspects of entrepreneurial learning, such as learning by doing, learning through mistakes and learning from entrepreneurs. More nuanced findings are also presented showing differences in learning benefits between club forms and heighten benefits for students taking leadership roles. Ultimately, the paper contributes to research in entrepreneurship by illustrating how student clubs support entrepreneurial learning.     

Self-selection bias and cost-of-living estimates

Due to continued interest in geographic living-cost differentials, some researchers have used data from the ACCRA Cost of Living Index. This paper explores further the potential for using ACCRA data for cost-of-living research. In particular, it investigates the possibility of self-selection bias affecting OLS estimates using ACCRA data. The findings indicate that self-selection bias is a concern that researchers using ACCRA data should be aware of. Results using Heckman’s two-step procedure to estimate a cost-of-living model indicate promise for using ACCRA data to update and expand upon previous cost-of-living research. The author wishes to acknowledge Keith Ihlanfeldt and Cynthia Rogers for constructive comments on an earlier version of this paper presented at the 35th Meeting of the Southern Regional Science Association and also wishes to thank the two anonymous referees for their suggestions on improving the paper.     

Meaningful involvement of municipal purchasing departments in the procurement of consulting services: Case studies from Ontario, Canada

This paper describes the types of activities that were associated with meaningful involvement of municipal purchasing departments in the procurement of consulting services in Ontario, Canada. Included is a discussion of some of the key contextual factors found to enable meaningful involvement and the type of value that results as it relates to the needs of the client department and the overall goals and objectives of the municipalities as a whole. Ten case studies were conducted that involved in-depth interviews with twenty case study informants including ten purchasing agents, nine client department managers, and a consultant. The findings provide a basis for increasing the involvement of municipal purchasing departments in acquisition processes for these services and address some very important gaps in a particularly arid body of research related to local government purchasing. A number of testable hypotheses and research questions that may enable future researchers to address some of the gaps identified by this work are also presented.     

Resolving uncertainty in manufacturing systems

This paper examines the effectiveness of three commonly practiced methods used to resolve uncertainty in multi-stage manufacturing systems: safety stock under regenerative material requirements planning (MRP) updates, safety capacity under regenerative MRP updates, and net change MRP updates, i.e., continuous rather than regenerative (periodic) updates. The use of safety stock reflects a decision to permanently store materials and labor capacity in the form of inventory. When unexpected shortages arise between regenerative MRP updates, safety stock may be depleted but it will be replenished in subsequent periods. The second method, safety capacity, overstates the MRP capacity requirements at the individual work centers by a prescribed amount of direct labor. Safety capacity either will be allocated to unanticipated requirements which arise between MRP regenerations or will be spent as idle time. The third method, net change, offers a means of dealing with uncertainty by rescheduling instead of buffering, provided there is sufficient lead time to execute the changes in the material and capacity plans.Much of the inventory management research has addressed the use of safety stock as a buffer against uncertainty for a single product and manufacturing stage. However, there has been no work which evaluates the performance of safety stock relative to other resolution methods such as safety capacity or more frequent planning revisions. In this paper, a simulation model of a multi-stage (fabrication and assembly) process is used to characterize the behavior of the three resolution methods when errors are present in the demand and time standard estimates. Four end products are completed at an assembly center and altogether, the end products require the fabrication of twelve component parts in a job shop which contains eight work centers. In addition to the examination of the three methods under different sources and levels of uncertainty, different levels of bill of material commonality, MRP planned lead times, MRP lot sizes, equipment set-up times and priority dispatching rules are considered in the experimental design.The simulation results indicate that the choice among methods depends upon the source of uncertainty, and costs related to regular time employment, employment changes, equipment set ups and materials investment. For example, the choice between safety stock and safety capacity represents a compromise between materials investment and regular time employment costs. The net change method is not designed to deal effectively with time standard errors, although its use may be preferred over the two buffering alternatives when errors are present in the demand forecasts and when the costs of employment changes and equipment set ups are low. The simulation results also indicate that regardless of the method used, efforts to improve forecasts of demands or processing times may be justified by corresponding improvements in manufacturing performance.     

A statistical procedure for testing social reciprocity at group,dyadic and individual levels

This paper examines statistical analysis of social reciprocity, that is, the balance between addressing and receiving behaviour in social interactions. Specifically, it focuses on the measurement of social reciprocity by means of directionality and skew-symmetry statistics at different levels. Two statistics have been used as overall measures of social reciprocity at group level: the directional consistency and the skew-symmetry statistics. Furthermore, the skew-symmetry statistic allows social researchers to obtain complementary information at dyadic and individual levels. However, having computed these measures, social researchers may be interested in testing statistical hypotheses regarding social reciprocity. For this reason, it has been developed a statistical procedure, based on Monte Carlo sampling, in order to allow social researchers to describe groups and make statistical decisions.