Purpose The purpose of this paper is to identify and assess the interrelationships between various characteristics of information sharing and trust and their criticality for effective information-centred supply chain collaboration initiatives and, in turn, its criticality to overall firm’s performance. Design/methodology/approach A survey of 189 executives from different firms was conducted and the resulting data were analysed to investigate how collaboration enablers affect effective collaboration and to determine its impacts on organisational performance. Structural equation modelling through partial least squares is used to study the relationships between four enablers (trust, information readiness, information accuracy and information security), perceived collaboration success, and two outcomes (sales growth and overall operational performance). Findings The empirical results indicate that three collaboration enablers including trust, information readiness and secure sharing of information improve supply chain collaboration. The present study finds that “secure sharing of information” was the most important factor in fostering information sharing-centred collaboration. The present study also demonstrates that effective collaboration positively and significantly influences on firm’s performance. Practical implications This study provides researchers and practitioners with a more comprehensive understanding about the information sharing-centred collaboration, its enablers and effects on firms’ performance in a supply chain context. Future research should focus on developing additional constructs that may capture other drivers of effective collaboration. Originality/value The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focussing on the enablers of collaboration through information sharing and its impact on firms’ performance.

Collaborative Planning, Forecasting and Replenishment (CPFR) as an interconnection scheme between organizations has been shown to have significant benefits. Since its inception in the 1990s, its uptake has been lower than originally predicted. This paper identifies the major barriers and their interrelationships in CPFR implementations with a focus on high-tech industries. Interpretive Structural Modeling (ISM) is used with a group of CPFR experts from industry/academia and Matrice d'Impacts Croisés Multiplication Appliquée àun Classement (MICMAC) analysis to identify the driving and dependence powers. The paper identified 45 CPFR barriers and classifies them into four categories based on expert opinion, with only 13 of these determined to be significant. The results indicate that in terms of categories, managerial barriers are a significant root cause for both process and cultural barriers and CPFR implementation difficulties. It also indicates that although the importance of information technology to launch collaborative schemes has been addressed by many scholars, technology alone is not the complete solution for successful CPFR implementation. The paper has significant practical implications for organizations as it identifies the main CPFR barriers and their causal relationships. This will help firms in the process of CPFR strategy development particularly for mitigation strategies for dominant barriers.

Purpose-Although many papers purport the significant value attributable to supply chain performance from the use of Collaborative Planning, Forecasting and Replenishment (CPFR), the question of 'what are the main constructs and efficient framework for successful implementation of CPFR?' remains largely unanswered. This question will be addressed by identifying and analysing the main constructs for successful implementation of CPFR. This paper attempts first to seek answers to this question. Second, to review the scope and value of CPFR using a devised state-ofthe-art taxonomy for the classification of selected bibliographical references and third, to develop a conceptual framework by identifying areas which need more research.Design/methodology/approach-The method underlying this paper followed the steps of a systematic literature review process outlined by Soni and Kodali (2011). The review is based on a total of 93 papers published from 1998 to 2013 on CPFR. Findings-Four main constructs for successful implementation of CPFR have been identified:CPFR enablers, CPFR barriers, trading partner selection and incentive alignment. The findings indicate that there is a need for better understanding of the amount and level of information sharing as an important function of CPFR implementation. The paper also illustrates a number of shortcomings in the current literature and provides suggestions to guide future research on implementing CPFR in different industries.Practical implications-This paper is of interest to both academicians and practitioners as it helps to better understand the concept and role of CPFR in supply chain integration and its implementation results, enablers and inhibitors. The proposed framework in this paper can be used to give insight for future research and practice.

Purpose The purpose of this paper is to develop a theoretical model to explain the impact of big data analytics capabilities (BDAC) on company’s supply chain sustainability (CSCS). The secondary objective of the study is to assess the relationship between different dimensions of supply chain sustainability and companies’ BDAC. Design/methodology/approach This research was carried out by conducting a survey among 234 pharmaceutical companies in Iran (a case study of Iran), using a standard questionnaire of BDAC and United Nations (UN) online self-assessment on supply chain sustainability. However, the respond of managers of 188 companies were usable in this research. Smart PLS3 was used to employ partial least squares method to examine the validity and reliability of the measurement and structural model. Findings The results of this study demonstrate that BDAC have a strong impact on both pharmaceutical supply chain sustainability, and the dimensions including vision, engage and internal. It is found that the relationships between BDAC and the other dimensions of supply chain sustainability including expect, scope and goals are not significant but positive. Research limitations/implications Research on the relationship between BDAC and CSCS, especially in the pharmaceutical supply chain, is scanty, and this gap is highlighted in developing countries and the pharmaceutical supply chain that plays a prominent role in public health. This paper discusses several important barriers to forming a sustainable supply chain and strong BDA capabilities. Practical implications This paper could be a guide to managers and consultants who are involved in big data analytics and sustainable development. Since UN urges companies do the online self-assessment, the results of this paper would be attractive and useful for UN global compact specialists. Originality/value No study has directly measured the relation between BDAC and CSCS and different dimensions of CSCS, using a comprehensive survey throughout all pharmaceutical companies in Iran. Moreover, this research assesses the different dimensions of BDA capabilities and supply chain sustainability. This paper represents the facts about situation of sustainability of pharmaceutical supply chain and BDAC in these companies, and discloses several related issues that are serious barriers to forming a sustainable supply chain and strong BDAC. In addition, this paper provided academic support for UN questionnaire about CSCS and used it in the survey.

Abstract:Collaborative planning, forecasting and replenishment (CPFR) is one of the most important, but also one of the most difficult collaborative strategies in supply chain management. CPFR has been well documented in past research as providing significant benefit to those that implement it well. It has also been noted that CPFR take up has been significantly lower than initially expected. The main reason for this slow up take is the general recognition that successful implementation of CPFR is not a trivial task and the fact that it inflicts dramatic changes to the 'usual' way of doing business. Based on the premise that CPFR has significant positive potential for supply chain collaboration, the motivation of this paper is to review CPFR enablers and to develop a model which addresses the most significant ones. To complete this task a hybrid modeling approach integrating fuzzy extended analytical hierarchy process (FEAHP) and interpretive structural modeling (ISM) is proposed. The model developed is based on an identified gap by the automotive sector and embeds expert opinion, from two separate industrial groups in the automotive sector through the use of workshops. Although potential success factors for CPFR implementation can vary across somewhat between differing supply chains, the results maintain wider general applicability due to the many common issues across sectors. The paper highlights the need for decision makers to be aware of the most influential enablers prior to a CPFR implementation project and to understand the relationships between these enablers.