The impact of supply chain-related factors on the environmental performance of manufacturing firms in Turkey

This paper investigates the impact of supply chain-related factors on the adoption of proactive environmental strategies, and the impact of such strategies on environmental investments and environmental performance. Data were collected from 96 Turkish manufacturers using an online questionnaire. The model was tested with PLS, a structural equation modelling method. The results show that a proactive environmental strategy leads to higher environmental investments which in turn lead to higher environmental performance. The results also show that two supply chain-related factors, organizational commitment and collaboration with suppliers, positively impact proactivity, whereas customer pressure does not have any significant direct impact on proactivity but it does positively impact environmental investments

Organizing knowledge sharing in networks: The theory

Introduction : over the past decade knowledge bas become a central concept in the field of organization studies. Knowledge helps companies to outperform competitors (Winter 1987). Knowledge can be compared with an accurate map. Having a map of the territory in which we want to travel gives us the coordinates of the places we want to go to and routes to get there. The map enables efficient travelling and avoid moving around by trial and error. Thus knowledge about technology, customers competitors and ways of organizing helps organizations to act efficiently and effectively

The fibres that hold an innovation network: An analysis of knowledge sharing in the Glare network

No abstract

Problem-solving in healthcare services procurement

__Abstract__ With the recent founding of the Purchasing and Supply Management Centre at RSM, solutions are becoming available for the growing number of companies who are investing in the complex territory of services procurement

Déjà lu: On the limits of data reuse across multiple publications

Scholars in our field, Operations and Supply Chain Management (OSCM), are under high pressure to show research productivity. At most schools, this productivity is measured by the number of journal articles published. One possible response to such pressure is to improve research efficiency: publishing more journal articles from each data collection effort. In other words, using one dataset for multiple publications. As long as each publication makes a sufficient contribution, and authors ensure transparency in methods and consistency across publications, generating more than one publication from one data collection effort is possible. The aim of this Notes and Debates article, however, is to draw attention to inappropriate reuse of empirical data in OSCM research, to explain its implications and to suggest ways in which to promote research quality and integrity. Based on two cases of extensive data reuse in OSCM, eighteen problematic practices associated with the reuse of data across multiple journal articles are identified. Recommendations on this issue of data reuse are provided for authors, reviewers, editors and readers

Purchasing Value: Purchasing and Supply Management's Contribution to Health Service Performance

Many countries across the globe face the challenge of increasing healthcare costs, often increasing faster than GDP or personal income. In an effort to manage these costs, but also to improve the quality and accessibility of healthcare, governments have introduced a purchaser-provider split in the healthcare system. Healthcare financers, such as local governments, employers and health insurers exercise the role of healthcare purchasers. They select and contract providers, and manage buyer-supplier relationships with contracted providers. This is what I call purchasing of care. At the same time, purchasing for care takes place. Healthcare providers, such as hospitals, clinics and family doctors select and contract suppliers of clinical and non-clinical goods and services, and manage relationships with these suppliers. Both types of purchasing and supply management in healthcare need to be executed professionally, in order for a healthcare system to remain financially sustainable. I argue that a high level of purchasing maturity is needed, especially in purchasing of care. High-maturity purchasing starts from the perspective of the end customer, which is the patient in the healthcare sector. Purchasing of care and purchasing for care should both be oriented towards achieving the best value for the patient, which means the best possible health outcomes per euro spent. Purchasing and supply management in healthcare needs to develop from a low trust zero-sum game to an optimal trust positive-sum game with purchasers aiming to realise patient value with supplier-partners under the most favourable conditions

Purchasing process models: Inspiration for teaching purchasing and supply management

Most scholars of purchasing and supply management (PSM) are familiar with some form of a purchasing process model (PPM). A PPM is the visual representation of the sequence of activities that constitute purchasing and supply management. Such a visual representation can be a tool in teaching PSM since it gives students an overview of an otherwise intangible process. Moreover, a PPM can also be viewed as a representation of the identity of PSM, providing a schema of what is PSM (and what it is not). In this notes and debates article, a systematic overview of different types of PPMs, and their evolution, is presented, based on a literature review and a survey, with the models being classified as tactical/operational, strategic, cyclical, or decision-making processes

Proactive environmental strategies pay off

Although there is contradicting evidence on the impact of a company’s proactive environmental strategy on its environmental performance, recent research shows such an approach can indeed make a difference

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Background: Despite the high potential of big data, their applications in health care face many organizational, social, financial, and regulatory challenges. The societal dimensions of big data are underrepresented in much medical research. Little is known about integrating big data applications in the corporate routines of hospitals and other care providers. Equally little is understood about embedding big data applications in daily work practices and how they lead to actual improvements for health care actors, such as patients, care professionals, care providers, information technology companies, payers, and the society. Objective: This planned study aims to provide an integrated analysis of big data applications, focusing on the interrelations among concrete big data experiments, organizational routines, and relevant systemic and societal dimensions. To understand the similarities and differences between interactions in various contexts, the study covers 12 big data pilot projects in eight European countries, each with its own health care system. Workshops will be held with stakeholders to