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Presents a preliminary evaluation of an extensive corporate renewal programme directly encompassing some 70 companies in the Swedish branch of Asea Brown Boveri (ABB). The renewal effort which is known as the T50 programme, is focused on reducing the total cycle times within most value adding chains including marketing, design, engineering and manufacturing. Preliminary results show that differences between companies are substantial with the leading companies well ahead of the corporate objective, while others have yet (after three years) only experienced minor improvements. Furthermore, the T50 concepts have been more difficult to apply to white‐collar work than anticipated which have contributed to limited success with respect to complete value‐adding chains. Describes and evaluates the T50 programme at corporate, company and workplace level and uses the programme history together with a national perspective to comment on the future of the programme.

As firms struggle to cope with an increasingly turbulent and uncertain economic environment there is widespread recognition of the importance of organisational learning. One option is to look at the potential of shared learning between firms, where common interests and interdependence provide motivation for experience sharing and other forms of synergy in learning. A particular version of inter‐firm learning is the use of supply chains as a mechanism for upgrading and transferring “appropriate practice” and this article reports on exploratory research on this theme. It draws on a literature survey and a detailed study of six UK supply chains at various stages of implementing supply chain learning.

This paper aims to describe what facilitates small and medium‐sized suppliers in participating in green supply chain initiatives. These initiatives are inter‐organizational initiatives attempting to improve environmental performance throughout the entire supply chain. This paper seeks to examine buyer green supply chain management practices, government involvement, and internal readiness of the suppliers themselves, as possible drivers.

The research framework and hypotheses were examined by using a mail survey conducted in South Korea in 2005. The empirical analysis used data from 142 small and medium‐sized suppliers. Validity and reliability of the scales for the construct of interest were assessed through a factor analysis and Cronbach‐alpha test. To test the hypotheses for the drivers of suppliers' willingness to participate in green supply chain initiatives, hierarchical linear regression was adopted.

The study finds that buyer environmental requirements and support were positively linked to their suppliers' willingness to participate in green supply chain initiatives. The government can play an important role in motivating these suppliers. Finally, the paper reveals that the more slack resources and organizational capabilities suppliers had, the more willingly they were to participate in those initiatives.

This research is one of the few studies which explore the drivers of participation in green supply chain initiatives by considering small and medium‐sized suppliers and their most important stakeholders, including buyers and the government.

This paper examines the relationship between government economic development programming and entrepreneurial activity, by examining evidence in Southern California cities. While numerous studies explore this relationship between government institutions and entrepreneurship at the level of countries and states, significant questions remain at the level of city government, and the influence of local government economic development programs on city-level entrepreneurial activity.

This paper uses regression analysis of data from all 215 Southern California cities to decompose the complex relationships between economic development programming and different types of entrepreneurial activity.

Results suggest startups are attracted to cities with higher crime rates, more diversity, and older populations, yet not those with higher levels of economic development programming. There is evidence that some types of economic development programming may influence entrepreneurship, especially for the level of minority-owned businesses.

The paper makes three important contributions to the literature. First, it is among the first to use local (city-level) entrepreneurship as an outcome variable to measure the effect of government economic development programming. Many scholars have instead chosen to look at outcomes relating to general economic growth (e.g. new jobs) rather than outcomes specific to local entrepreneurship. Second, it explores city-wide entrepreneurial activity with respect to numerous measures, such as start-ups, minority and female ownership, and self-employment. Third, it examines the potential influence of economic development programming, both on aggregate and decomposed into economic development program clusters.

The purpose of this paper is to review studies on mathematical optimization of the sustainable gasoline supply chain to help decision-makers understand the current situation, the exact dimensions of the problem and the models provided in the literature. So, a more realistic mathematical optimization model can be achieved by fully covering all dimensions of the supply chain of this product.

To evaluate and comprehend the mathematical optimization of the sustainable gasoline supply chain research area, a systematic literature review is undertaken that covers material collection, descriptive analysis, content analysis and material evaluation steps. Finally, based on this process, 69 related articles were carefully investigated.

The results of the systematic literature review show the main areas of the published papers on mathematical optimization of sustainable gasoline supply chain problems and the gaps for future research in this field presented based on them.

This approach is subject to limitations because the protocol of the systematic review of the research literature only included searching for the considered combination of keywords in the Scopus and ProQuest databases. Furthermore, the protocol used in this paper restricts documents to English.

The results have significant implications for both academicians and practitioners in this field. It can be useful for academics to comprehend the gaps and future trends in this field. Also, for practitioners, it can be useful to identify and understand the parts of the mathematical optimization model, which can help them model this problem effectively and efficiently.

No systematic literature review has been done in this field by considering gasoline to the best of the authors’ knowledge and delivers new facts for the future development of this field.

This study aims to investigate the motives for and the benefits of authorized economic operator (AEO) certification in the supply chain. Also, whether there are significant differences in the perception of the AEO status as a necessity or privilege among cargo owners and service providers.

The research design includes an international survey of 159 AEO-certified companies from four European Union (EU) countries performing various roles in the supply chain. The data are analyzed using quantitative methods, including factor analysis and analysis of variance.

Based on factor analysis, the research reveals the motives for and benefits of AEO certification. This reveals significant differences between two distinct groups of supply chain participants, namely, cargo owners and service providers. Service providers are mainly driven by the need to gain or maintain their competitive advantage and treat AEO certification as a standard that is required by customers. Cargo owners are relatively more focused on the improvement of internal processes and treat AEO certification as a privilege that helps them achieve a high level of efficiency.

The study fills the existing literature gap as it focuses on the differences between two distinct groups (cargo owners and service providers) in terms of their perception of the AEO certification. As empirical research in this area is scarce, especially at the cross-country level, this study also significantly complements knowledge on AEO certification in the EU.

This paper provides the outcomes of a supply chain management (SCM) practice survey designed to identify current trends in UK industrial small‐ to medium‐sized enterprises. The analysis identifies the adaptation of SCM techniques and relationships between customers and smaller suppliers. The outcomes, based on a survey of 288 firms, indicates a lack of effective adaptation from traditional adversarial relationships to the modern collaborative “e” – supply chain; identifies issues businesses need to address to improve the performance of their supply chains, and so improve their competitive position by grasping the benefits of effective SCM.

The purpose of this paper is to apply an empirically based approach to develop a decision-making model that comprehensively incorporates the potential affecting factors and the related significant drivers that support network designers in selecting the appropriate strategic supply chain configuration or checking the coherence of an existing supply chain structure in four industry sectors.

The decision-making model is developed based on an empirical study that integrates multiple case studies and statistical analyses. In total, 113 best-in-class manufacturing firms in four sectors are studied to investigate their strategic supply chain configurations and the information of identified affecting drivers. The factor analysis and regression analysis are conducted to classify the drivers into five factor groups, and to identify the significant drivers used to develop the decision-making model.

The findings of this research are three-pronged. First, 12 significant drivers related to 5 factor groups affecting strategic supply chain network design (SCND) are identified. Second, a decision-making model is developed to support users in strategic SCND. Last, the main characteristics of various strategic supply chain configurations are summarized in four industry sectors.

The authors identified valuable insights for both academics and practitioners based on the identified significant affecting drivers and the developed decision-making model. In addition, this study also proposes two potential research lines on the study of additional contextual affecting factors and decision issues in strategic SCND.

This study could be the first attempt to use an empirically based method to develop a decision-making model aimed at supporting the preliminary design of a supply chain network. Therefore, the drawbacks of a pure qualitative conceptual model and optimization model are eliminated.

The research study aims to investigate green supply chain management (GSCM) elements as part of a complete system. It aims to understand the special properties of the GSCM system under the moderating effects of product complexity and purchasing structure.

A thorough literature review led to the building of the conceptual framework. Six constructs were identified using systems theory. These constructs include green supply chain technological dimensions (particularly, Artificial Intelligence (AI) based), green supply chain strategy, green supply chain process, product complexity, purchasing structure, and firm performance. The instrument was scientifically developed for gathering survey responses using complete design test methods. The conceptual model was eventually tested based on survey data collected from 250 automotive components and allied manufacturers in the emerging economy of South Africa.

The results indicate that GSCM technological dimensions (AI-based) positively influence GSCM strategy. Further, GSCM strategy was found to positively influence the GSCM process. The GSCM processes have significant effects on environmental performance, social performance, and financial performance. The product complexity has a significant moderation effect on the paths GSCM strategy and GSCM process.

The findings from multivariate data analysis provide a better understanding of GSCM system dynamics and are helpful to key decision-makers. This unique model has elevated GSCM theory to a new level. There are limited studies available in the existing GSCM literature using systems theory. This study will offer an advanced/comprehensive understanding to readers in this relatively new concept.

This paper aims to provide the results of a survey of courses dedicated to the field of supply chain management in higher education. This research is unique because it represents the first large-scale study of graduate supply chain management courses taught at universities globally.

Content analysis was performed on each syllabus to identify the actual course content: requirements, pedagogy and content emphasis. This aggregated information was used to compare historical research findings in this area, with the current skills identified as important for career success. This data provides input for a gap analysis between offerings in higher education and those needs identified by practitioners.

Data gathering efforts yielded a sample of 112 graduate courses representing 61 schools across the world. The aggregate number of topics covered in graduate courses totaled 114. The primary evaluation techniques include exams, projects and homework. Details regarding content and assessment techniques are provided along with a gap analysis between the supply chain management course content and the needs identified by APICS Supply Chain Manager Competency Model (2014).

The goal is to use this data as a means of continuous improvement in the quality and value of the educational experience on a longitudinal basis. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of supply chain management courses and curricula in academia, as well as training, development and recruitment efforts by professionals in the field of supply chain management.