Using integrated information systems in supply chain management

The aim of this paper is to empirically test not only the direct effects of information and communication technology (ICT) capabilities and integrated information systems (IS) on firm performance, but also the moderating role of IS integration along the supply chain in the relationship between ICT external and capabilities and business performance. Data collected from 102 large Iberian firms from Spain and Portugal are used to test the research model. The hierarchical multiple regression analysis is employed to test the direct effects and the moderating relationships proposed. Results show that external and internal ICT capabilities are important drivers of firm performance, while merely having integrated IS do not lead to better firm performance. In addition, a moderating effect of IS integration in the relationship between ICT capabilities and business performance is found, although this integration only contributes to firm performance when it is directed to connect with suppliers or customers rather than when integrating the whole supply chain.     

Cloud-based fleet management for prefabrication transportation

Prefabricated construction heavily relies on the effective transportation of precast components, and efficient prefabrication transportation can benefit the whole construction process from many aspects, such as saving cost, time, and spaces. However, current practices of prefabrication transportation are inefficient due to various involved stakeholders, outdated decision support tools, scarce real-time data, and ineffective information sharing mechanisms. To tackle these problems, and facilitate the management and operations of prefabrication transportation, this paper proposes a cloud-based fleet management platform through integrating the advantages of Internet of Things (iot) and cloud technology. A Transportation Management Service Sharing (TMSS) mechanism is proposed, which enables the platform to be easily and economically used by various transportation service providers, and could benefit all the other stakeholders involved. Besides, relation-based data extraction approach is proposed to extract sufficient transportation data during the whole process, and the transportation data synchronization mechanism is also worked out to ensure the data consistency. Finally, based on a real-life prefabricated construction project for public housing production in Hong Kong, a case study is conducted to verify the effectiveness of the proposed platform.     

Making sense of the impact of the internet of things on Purchasing and Supply Management:A tension perspective

The Internet of Things (IoT) is transforming how industries operate. It impacts on firms’ supply networks, business processes and business models. This article describes how the IoT influences the Purchasing and Supply Management (PSM) function. Our findings based on interviews and workshop with more than 200 senior European purchasing managers from large corporations suggest that PSM has opportunities to support the development of IoT solutions within firms which are required to work with dynamic and complex markets. At the same time, the IoT supports the development of a more capable and efficient PSM organisation. As part of this early stage theory building effort, we outline scenarios for the future of the PSM function. This leads us to reflect on how PSM leaders manage IoT-related tensions by means of differentiation and integration tactics.     

物联网环境下绿色供应链闭环运作模式研究

随着环境压力的增加及资源的限制,建设绿色环保型企业已成为我国相关企业发展面临的迫切任务。确保信息的准确性和及时性是绿色供应链闭环运作模式成功的关键因素,物联网的兴起为绿色供应链闭环运作管理提供了良好的发展机遇。文中对物联网环境下的绿色供应链闭环运作模式进行了探讨,给出了物联网环境下绿色供应链闭环运作结构模型,为绿色闭环供应链管理模式的应用进行了有价值的探索。     

飞航产品制造与物联网的整合——供应链的智慧管理

2009年美国提出了“智慧地球”,中国提出了“感知中国”。随后,物联网思想热潮正逐渐转变为企业和政府行为,对全球未来发展将可能产生深远影响。政府和企业都正在尝试用一种更加智慧的方法来促进社会各条供应链的发展,以提高交互的灵活性、明确性、效率和响应速度。三院致力于建设国际一流的飞航技术研究院,二三九厂致力于建设一流的飞航总装厂,一流就要建设起基于总体和总装总调的供应链信息化平台,将飞航产品的技术研究、制造集成装配与物理系统结合,以提高整体过程的柔性和灵敏度,实现飞航产品制造供应链的智慧管理。     

A model of integrated regional logistics hub in supply chain

ABSTRACT

A regional logistics hub is a constellation of multiple logistics facilities in a region of several provinces or states. This research models an integrated regional logistics hub with consideration of time-phased demand in a multi-echelon, multi-period, and capacitated logistics network. The integrated logistics hub considers three phases based on the characteristics of China’s five-year planning policy. By applying mixed integer linear programming, the greedy heuristics approach, the particle swarm optimization algorithm, and the Hungarian method, the location of logistics facilities at different echelons of a supply chain is identified and the needs for facility expansion or closing during different time periods are determined.     

Drivers and outcomes of open-standard interorganizational information systems assimilation in high-technology supply chains

In recent years, firms in high-technology supply chains have established internet-based electronic linkages with their trading partners. As a result, they have improved their ability to coordinate and synchronize shared business processes by using more complete, accurate, and timely information. These electronic linkages are based on open-standard interorganizational information systems (OSIOS), which are fundamentally different from traditional electronic data interchanges. OSIOS capture not only the technical specifications for data interchange but also the sequential steps for the execution of shared business processes. Because OSIOS are still at an early diffusion stage, it remains unclear why firms would assimilate such an innovation and whether assimilation provides firms any benefits. In this research, we develop a framework grounded on the economics of standards, institutional theory, and strategic interorganizational information systems literatures to investigate the drivers and outcomes of OSIOS assimilation in a focused context. In order to test our hypotheses based on this framework, we used data from a high-technology supply chain and employed econometrics techniques. We found that both competition asymmetry across supply chain echelons and OSIOS assimilation within supply chain echelons predict individual firms’ OSIOS assimilation. The results also suggest that firms’ supply chain dominance is both a driver and an outcome of OSIOS assimilation, highlighting a mutually reinforcing process. In addition, our study reveals boundary conditions of the hypothesized relationships. The use of multiple theoretical perspectives, a unique dataset, and innovative statistical techniques to investigate OSIOS assimilation in high-technology supply chains contributes to the body of knowledge in both the supply chain management and management of information systems disciplines.     

Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach

The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean‐agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology‐enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.     

Stakeholder management in sustainable supply chains: A case study of the bioenergy industry

Engaging with stakeholders and managing their issues when striving for a sustainable supply chain (SC) is a significant challenge. Although most studies on sustainable supply chain management (SSCM) consider stakeholder management necessary, little is known about related stakeholder management practices in SSCM. Thus, this paper seeks to enrich the theoretical debate on stakeholder management practices in SSCM through a case study approach to bioenergy SCs in Chile. Based on 28 interviews with SC actors and representatives from the surrounding stakeholder environment, the deductive–inductive analysis reveals that stakeholder management combines different practices to discuss stakeholder concerns, address them, and evaluate the process at the SC's external and internal levels. We propose structuring these practices based on two dimensions: “practices to address stakeholder requirements” and “practices whereby stakeholders are integrated.” The analysis' results indicate that although two-way communication with stakeholders can be seen as the core of stakeholder management, a certain willingness to learn and transform SC design is a prerequisite for true orientation toward stakeholder management in SSCM. Additionally, linkage development and local anchoring are practices used to obtain further legitimacy at the external level. Building on these findings, this study can guide practitioners in engaging with stakeholders and managing their issues across the SC.     

Practices and strategies for sustainability-related risk management in multi-tier supply chains

This study investigates how sustainability-related risks are managed in multi-tier supply chains. It focuses on the strategies and practices that companies use to manage sustainability-related risks and how these differ between supply chains and supply chain tiers. We use a multiple-case study with 25 companies forming 5 multi-tier supply chains. As a result of this study, we present a conceptual framework for sustainability-related risk management practices in multi-tier supply chains and apply it empirically by defining sustainability-related risk management profiles for the case supply chains. We show that in multi-tier supply chains, companies need direct and indirect collaboration and direct and indirect monitoring practices for managing sustainability-related risks emanating from not only their first-tier suppliers but also lower-tier suppliers. Our framework helps purchasing and supply chain managers understand the dimensions of sustainability-related risk management in a multi-tier setting and develop strategies and practices for mitigating and managing those risks. We also empirically show the challenge of extending sustainability-related risk management practices beyond first-tier suppliers due to the different practices in different supply chain tiers.     

Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

A literature review of decision-making models and approaches for partner selection in agile supply chains

The paper reviews the literature on supply partner decision-making published between 2001 and 2011, a period that has seen a significant increase in work published in this field. The progress made in developing new models and methods that can be applied to this task is assessed in the context of the previous literature. Particular attention is given to those methods that are especially relevant for use in agile supply chains. The paper uses a classification framework that enables models intended for similar purposes to be compared and tracked over time. It is also used to identify a number of gaps in the literature. The findings highlight an on-going need to develop methods that are able to meet the combination of qualitative and quantitative objectives that are typically found in partner selection problems in practice.     

促进企业学习的一种工具——供应链管理

供应链管理(SCM)作为企业学习的一种有效工具,它可以帮助企业进行适应性和创造性的学习。SCM法通过持续的改进和现存知识的管理促进适应性学习;通过学习文化的发展和新型思维模式的发展促进创造性学习。     

A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain

Sustainability and resilience in Agri-Food Supply Chains is a challenging topic of current interest in the research community. Resilience for Agri-Food Supply Chain (AFSC) is the capability of the supply network to manage and mitigate disruptions due to global warming and natural phenomena such as landslides and floods of crops, among others caused by humans. A significant challenge is to design efficient and resilient AFSCs in emerging countries while perishability constraints are considered. A methodology to design an AFSC for emerging countries is addressed in this research. The phenomena that aid in identifying critical aspects of the AFSC affecting their resilience are identified. The former approach combines optimization and simulation schemes by considering resilience metrics related to availability and connectivity. Indeed, the solution approach addresses the uncertainty by using simulation of disruptive events and finding resilient designs using mathematical programming. The proposed framework has been evaluated in a Colombian coffee supply chain. The obtained results show the efficiency of the proposed scheme to design AFSCs and allow the practitioners to measure, predict, compare, and improve the level of resilience of their supply chains (SCs).     

我国物联网的体系架构研究

首先分析了物联网的相关概念,指出物联网与传感网的区别,界定了物联网的定义。在此基础上,建立了中国物联网三级体系架构,并对其功能结构、CRS拓扑结构进行了设计,最后分析了9个迫切需要解决的标准和技术问题。     

Sustainable development in small and medium enterprises: The role of entrepreneurial orientation in supply chain management

Organizations are under increased pressure to improve their sustainable performance through the adoption of green supply chain management (GSCM) practices. Small and medium enterprises (SMEs) have lagged behind larger corporations due to a number of factors. Chief among these factors is the lack of resources and capabilities. In this study, we investigate whether entrepreneurial orientation as a distinctive firm-level resource contributes to the successful implementation of GSCM practices within SMEs. We use primary data obtained from 316 manufacturing SMEs and analyze the data by using a fuzzy-set qualitative comparative analysis (fsQCA). Our findings show four equifinal configurations of GSCM practices and the components of entrepreneurial orientation (EO) that lead to high environmental performance. Two practices, “eco-design” and “internal environmental management”, are present in all configurations, with the latter being the single core condition. The components of EO are present in all the configurations. Three distinct configurations lead to the simultaneous achievement of high environmental performance and high economic performance. Some noticeable differences appear in these configurations: “internal environmental management” is no longer a core condition, instead external practices (“green purchasing,” “cooperation with customers including environmental requirements,” and “investment recovery”) and “risk-taking” become core conditions. We exptrapolate our findings into a set of propositions that expand theory on the link between entrepreneurial orientation and sustainable performance. Our study provides insights for managers who seek to infuse entrepreneurial thoughts and actions into their green supply chain initiatives.     

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology. To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. Thus, additional databases can be integrated by linking them to this domain-specific ontology and are directly available for further business analyses. Moreover, the web-based system supports the process of mapping ontology concepts to external databases by introducing a semi-automatic mapping recommender and by visualizing possible mapping candidates. The system also provides a natural language interface to easily query linked databases. The expected result of this ontology-based approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods.     

A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries

The present work aims to evaluate the success factors (SFs) associated with the implementation of green supply chain management (GSCM) from the Indian manufacturing industry perspective. Initially, 24 SFs relevant to GSCM adoption and implementation were identified from the literature and inputs received from relevant experts. Subsequently, a structural model was proposed by means of combining the Analytical Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach to evaluate these SFs at the tactical, operational and strategic levels in GSCM adoption. The AHP method helps in determining the relative importance/priorities of the SFs to GSCM adoption. In addition, the DEMATEL method captures the interactive relationships among the SFs, and analyses them on the basis of causal effect mapping. The model proposed can help industrial managers/practitioners to formulate short-term as well as long-term flexible decision strategies in efficiently managing a green supply chain.     

A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks

The unexpected emergence of the COVID-19 pandemic has changed how grocery shopping is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in-store shopping by providing “no-touch” smart packaging solutions for agri-food products. The benefit of smart packaging is to inform consumers about the freshness level of a packaged product without having direct contact. This paper proposes a data-driven decision support system that uses smart packaging as a smart product-service system to manage the sustainable grocery store supply chain during outbreaks to prevent food waste. The proposed model dynamically updates the price of a packaged perishable product depending on freshness level while reducing food waste and the number of rejected customers and maximising profit by increasing the inventory turnover rate of grocery stores. The model was tested on a hypothetical but realistic case study of a single product. The results of this study showed that stock capacities, freshness discount rate, freshness period, and quantity discounts significantly affect the performance of a grocery store supply chain during outbreaks.