Reprint of "Decision support models for supplier development: Systematic literature review and research agenda"

The continuing trend towards sourcing components and semi-finished goods for less vertically integrated manufacturing systems globally leads to a dramatic increase in supply options for companies. To ensure that companies benefit from the potentials global sourcing offers, supplier-buyer relationships need to be managed efficiently. Due to the decreasing share of value-adding activities provided in-house, suppliers are more and more considered as an essential contributor to the buying company's competitive position. Consequently, to realize and sustain competitive advantages, companies try to establish institutionalized long-term relationships to their most important suppliers and to actively improve the productivity and performance of their supplier base. To support supplier development in practice, researchers have developed decision support models that provide assistance in selecting and implementing suitable supplier development activities. The aim of this paper is to provide a comprehensive and systematic overview of decision support models for supplier development and to develop a research agenda that helps to identify promising areas for future research in this area. First, typical applications for supplier development as well as potential development measures that can be adopted to improve the performance of suppliers are identified. Secondly, a systematic literature review with a focus on decision support models for supplier development is conducted. Based on the analysis of the literature, we define a research agenda that synthesizes key trends and promising research opportunities and thus highlight areas where more decision support models are needed to foster supplier development initiatives in practice

Understanding Project Champions’ Ability to Gain Intra-Organizational Commitment for Environmental Projects

A key enabler of environmental projects is the ability of the project champion to gain commitment to the project from other stakeholders in his or her organization. This paper develops a model of commitment-gaining success that is based on intra-organizational influence theory. The model also includes the project payback, customer pressure, government regulation, top management support and the project champion’s position in the organizational hierarchy. The model was tested using survey data from 241 environmental professionals describing their attempts to gain the buy-in of purchasing managers, operations managers, industrial engineers and others for environmental projects. The results (obtained from hierarchical regression analysis) show that intra-organizational commitment is positively associated with the project champion’s influence behavior—in particular, the champion’s use of three influence tactics (inspirational appeals, consultation and rational persuasion) and avoidance of a fourth tactic (ingratiation). Commitment is also positively associated with project payback and with top management support for the environment and negatively associated with environmental regulation. The paper contributes to the OM knowledge base of environmental project implementation by bringing new theory to bear on the topic, by focusing on individual-level, rather than organization-level, variables and by taking a confirmatory, large sample approach which complements extant exploratory research. In addition, the paper contributes to the OM field by evaluating various antecedents to cross-functional integration. The results also provide specific guidance to those who champion environmental projects within their companies

Social media and sensemaking patterns in new product development: demystifying the customer sentiment

Artificial intelligence by principle is developed to assist but also support decision making processes. In our study, we explore how information retrieved from social media can assist decision-making processes for new product development (NPD). We focus on consumers’ emotions that are expressed through social media and analyse the variations of their sentiments in all the stages of NPD. We collect data from Twitter that reveal consumers’ appreciation of aspects of the design of a newly launched model of an innovative automotive company. We adopt the sensemaking approach coupled with the use of fuzzy logic for text mining. This combinatory methodological approach enables us to retrieve consensus from the data and to explore the variations of sentiments of the customers about the product and define the polarity of these emotions for each of the NPD stages. The analysis identifies sensemaking patterns in Twitter data and explains the NPD process and the associated steps where the social interactions from customers can have an iterative role. We conclude the paper by outlining an agenda for future research in the NPD process and the role of the customer opinion through sensemaking mechanisms

Empirical research opportunities in reverse supply chains

This study reviews the literature in reverse supply chains (RSCs) and develops 10 research propositions to be studied using empirical research methods. Businesses increasingly have to cope with product returns, mandated environmental regulations and increasing costs associated with product disposal. Through effective management of the RSC, managers can improve process efficiencies, customer service, supply chain design, product design, after-market product sales and after-sales service. Most research in RSCs has relied on case studies and optimization models. Opportunities exist to use survey-based research methods to explain current practices, predominant and critical issues, and managerial techniques used to manage the RSC.Reverse supply chains Reverse logistics Empirical research methods