Search results

Streamlining the supplier base is a common approach in many US and UK manufacturing companies. However, is this approach being adopted in Germany as fast as it has in the UK? This paper describes research that answers this question and investigates how German companies are managing contacts with their suppliers. The research was conducted in two stages. First, a postal survey of German and UK manufacturers identified the supplier base trends. Second, a follow‐up telephone survey of a random sample of German plants investigated supplier management processes. The findings show that German manufacturers have not reduced their supplier base by as much as their UK counterparts. However, German manufacturers that have reduced their supplier base perceive significant benefits. Currently, many companies appear to have failed to recognize the potential of working with a reduced supplier base.

A key issue for manufacturers is supplier management, i.e. organising the optimal flow of high quality, value‐for‐money materials or components from appropriate innovative suppliers. Many companies now recognise the central role that supplier management plays in achieving long‐term competitive advantage. This paper presents the results of a study of supplier management practices in Germany, contrasted against those in the UK. It identifies a key difference – German manufacturers have not reduced their supplier base as much as the companies in the UK. However, it appears that German manufacturers will be reducing their supplier base in the near future, although they are likely to follow a policy of multiple sourcing rather than single‐sourcing from suppliers. The results of the research have strong implications for German companies as they clearly indicate the potential for performance improvement through the adoption of best practices in the field of supplier management.

The goal of this paper is to develop a model which may be used to demonstrate costs and benefits of risk management investments in the context of value-based management.

This paper answers the question of how to quantify changes in company value caused by risk management measures on a theoretical basis. First, a review of empirical studies allowing assertions about the cost and utility of risk management investments is presented. The results of these studies point to a nonlinear shape of the curve and form a basis for the development of a seemingly plausible cost/utility correlation.

In this paper, a model will be developed which can be used to demonstrate costs and benefits of risk management investments in the context of value-based management. It is assumed that at first, risk management expenditures without measurable monetary utility will have to be made. Furthermore, it is assumed to increase more than proportionally, then less than proportionally, until further investments in risk management activities yield only minimal increases in utility and cannot improve company value any further.

By inserting the yet-to-be-determined actual cost/benefit relationship for a company or industry sector into the EVA equation, it is possible to display the effects of risk management measures on the company value. This procedure is principally combinable with the analysis of other value-based control parameters, that is, the Discounted Cash Flow concept or the Cash Value Added methodology.

Risk management is increasingly gaining scientific and public interest, especially since the global financial crisis. Scientists and practical users espouse the benefits of risk management systems in this context. However, the extent to which investments in risk management systems can improve the value of a company remains still unclear.

We could determine that at first risk management expenditures will not result in a monetarily measurable benefit. The remaining slope of the curve is derived as increasing more than proportionally at first, then less than proportionally, until further investments into risk management activities yield almost no additional increase in benefits. In this paper, three different functions are offered to describe the shape of the curve identified. They differ in regard to their free parameters and hence in their flexibility of application. The higher flexibility of functions #2 and #3 is balanced by the disadvantage of increasing formal complexity, possibly leading to an increased effort for implementation and application.

To harness the relationships developed in this paper for practical use, further research should target the identification and empirical verification of dependencies between the parameters and principal company index values.

For many years the technical quality of German products has given them a competitive edge in international markets. However, as more and more companies adopt Total Quality strategies the ‘Made in West Germany’ label has decreased in stature. A recent survey highlights the growing importance of TQM to German companies.

Suggests that youth unemployment is seen in East Germany as a critical life event because not only may it “scar” individuals’ careers but there is the fear that it may be a cause of other social problems such as criminal and racist behaviour. Bases the study on event‐history and optimal‐matching analysis. Considers seven hypotheses about the impact of unemployment on social mobility career transitions. Findings suggest that unemployment can raise those chances of upward, downward and lateral mobility.

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

This analysis examines the influence of varying levels of consciousness on the problem solving effectiveness of chief executive officers (CEOs). Specifically, it applies the original work of Ken Wilber, considered one of the most important theorists in the field of consciousness studies of our time, to executive leadership. The paper proposes that as CEOs move to higher levels of consciousness, their problem solving capabilities become more effective for their situational contexts. The argument set forth is that CEOs at higher levels of consciousness will be more effective problem solvers for their organizations and experience greater levels of self‐fulfillment than CEOs operating at lower levels on the Spectrum of Consciousness.

The aim of the paper is to assess the determinants and impact of employer sponsored further training on wage growth in West Germany over the period 1992 to 2002.

Following a descriptive narrative on further training and wages in Germany, data derived from the West German sub‐sample of the German Socio‐Economic Panel is being utilised, which has the main advantage of providing detailed information about the respondents' labour market histories prior to and after 1992. The information provides powerful predictors, controlling for the endogeneity of the training participation decision when estimating a wage growth equation. To assess the impact of training on wages, Heckman selectivity corrected wage equations are used, with the selection being based on a probit model for the probability that an individual receives firm‐sponsored training.

The analysis provides details of significant gender differences in both, the incidence and earnings impact of further training. The results show that further training has a strong positive effect on wages. However, gender inequality issues remain a salient feature of the German training system, which further training only reinforces. The analysis also suggests that the economic conditions during Germany's post‐unification period may have mitigated some of the potential benefits of further training on wage growth.

Despite its growing importance, the determinants and earnings impact of employer‐sponsored, further training have attracted little attention in the empirical literature. Even less is known about the impact of further training during Germany's post‐unification period. This paper adds value by contributing to this fledgling field of investigation.

This study aims to provide a thick description of a four-day bridging course in introductory accounting presented before the start of a student’s first year. The course aims to address the lack of prior accounting knowledge. The study also evaluates the effectiveness of the course using econometric techniques. Treatment effects are considered when interpreting the results.

This voluntary intervention used a quasi-experimental research design and quantitative techniques, including the application of propensity score matching (PSM), to isolate the treatment effect on the treated and untreated groups.

A positive and significant association is reported between attending the bridging course and performance in the first assessment.

A bridging course in accounting offers higher educators an opportunity to ensure that students are academically better prepared when entering university. This course provides adequate prior knowledge from which a student will benefit during the first assessments, which may contribute to increased self-efficacy and retention. This intervention has social implications for students as they can interact, participate and easily transition from school to university. Social implications include learning communities that are formed at the onset of their studies.

Bridging courses have been presented in other disciplines with positive results but not yet in accounting. Bridging courses in accounting are viable interventions to address gaps in prior knowledge and assist with the transition from school to university. This study expands literature by demonstrating the application and interpretation of PSM in quasi-experimental designs.