Implementation of S-DBR in four manufacturing SMEs: a research case study

Production planning and control systems (PPCs) are tools that have a major effect on the performance of manufacturing companies. An inappropriate determination of the applicability of PPCs could seriously jeopardise the ability to achieve competitive priorities. This mistake can be expensive for any company, but proper implementation is particularly critical for small and medium enterprises (SMEs), which are characterised by limited access to financial resources. Simplified Drum–Buffer–Rope (S-DBR) is a PPC control approach that is characterised by minimum detail in the planning stage and a primary emphasis on the control of execution. Therefore, this approach is a suitable choice for the highly variable context of SMEs. This study aims to explore the practical issues related to S-DBR implementation in four Ecuadorian SMEs through case study research. The case analysis within this study first identifies the choices made in the implementation process design within the four companies according to process and product characteristics. We then conduct a cross-case analysis to explore the effects of the S-DBR implementation process designs on a group of performance measures. Our research findings provide new insights into the S-DBR implementation process in the context of SMEs, and the effects of this approach on performance measures.     

Integrating sustainable supply chain practices with operational performance: an exploratory study of Chinese SMEs

Abstract

With growing regulatory and market pressure to implement green practices, SMEs are facing enormous challenges to simultaneously improve operational and green performances of their supply chains. The paper aims to understand the green practices adopted by Chinese SMEs in the packaging sector in order to assess the impact of these practices in improving the operational performance. Case study-based research methodology is adopted and semi-structured interviews are conducted to collect data from seven SMEs in this study. Both in-case and cross-case analyses are performed to understand the green practices being adopted with the focus on improving the operational performance. The findings of this study indicate that although most SMEs understand the importance of green practices, they have limited knowledge to integrate these practices to improve operational performance. Integration and alignment of green activities with the operational improvement measures are identified as critical factors to develop an efficient green supply chain.     

Knowledge infrastructure capability,absorptive capacity and inbound open innovation: evidence from SMEs in France

Abstract

Inbound open innovation (IOI) has become a potentially valuable means of gaining competitive advantage and enhancing organizational performance. This article explores how knowledge infrastructure capability (KIC) affects IOI through the moderating role of absorptive capacity. This research conceptualizes and develops three dimensions of KIC (technological, structural and cultural), and tests the relationships between KIC, absorptive capacity and IOI. Data for the study were collected from 125 small and medium enterprises (SMEs) based in France, and the relationships proposed in the framework were tested using structural equation modeling (SEM). The results indicate that higher levels of KIC can lead to enhanced absorptive capacity and improved IOI. That is, KIC can have a direct, positive impact on absorptive capacity and IOI. Moreover, absorptive capacity partially mediates the linkage between KIC and IOI. The article contributes to the conceptualization of the impact of KIC on IOI, by emphasizing a firm’s absorptive capacity. It offers a validated instrument to measure KIC, and provides an empirical evidence of the impact of KIC on absorptive capacity and IOI. This article also extends the extant literature by focusing on KIC and absorptive capacity simultaneously in a model to understand the notion of IOI in the SMEs based in France. This study offers useful guidance for measuring and implementing KIC in a SME context and encourages further research in this area.     

人力资源管理实践与企业绩效:基于动态环境的实证研究

根据对中国大陆企业人力资源部的经理和有关管理人员进行调查的111份有效问卷,分析经济转型和企业国际化的动态环境下,人力资本、人力资源管理实践与企业绩效的关系。通过质量和数量、匹配性、互补性、异质性这4个指标来衡量企业的人力资本,并以层级回归和多层次理论对假设进行实证检验。研究结果表明,人力资源管理实践对企业绩效的影响是通过人力资本的部分中介作用来表现的;动态环境会减弱人力资源管理实践影响人力资本的直接作用关系,以及减弱人力资本的中介作用,即与稳定的环境相比,动态环境在人力资源管理实践与人力资本间具有调节效应。     

Performance measurement in the Third Sector: the development of a stakeholder-focussed research agenda

This paper addresses a need for greater insight into the theory and practice of performance measurement (PM) in the Third Sector (TS). Effective PM is crucial to the long-term viability of Third Sector organisations (TSOs), since it provides funders with the requisite evidence to demonstrate value for money and to convince them to provide further funding. It also serves to ensure that vulnerable societal groups receive the social care they need and that the internal management processes of TSOs continuously improve their effectiveness and sustainability. PM research has been scant in this sector and our literature review suggests that no extant models or frameworks are particularly suitable in this context, due in part to the wide range of stakeholders and the distinctive characteristics of TSOs. Drawing on a comprehensive review of the literature, we develop the conceptual foundation of PM in the Third Sector and derive a research agenda that provides a platform for future work. This draws in part on the notions embedded in Stakeholder Theory.     

Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations

The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.     

Developing management capability within a horizontal supply chain in performance measurement deployment and evolution: a Dynamic Capabilities and Goal Theory perspective

Abstract

Complex collaboration in rapidly changing business environments create challenges for management capability in Utility Horizontal Supply Chains (UHSCs) involving the deploying and evolving of performance measures. The aim of the study is twofold. First, there is a need to explore how management capability can be developed and used to deploy and evolve Performance Measurement (PM), both across a UHSC and within its constituent organisations, drawing upon a theoretical nexus of Dynamic Capability (DC) theory and complementary Goal Theory. Second, to make a contribution to knowledge by empirically building theory using these constructs to show the management motivations and behaviours within PM-based DCs. The methodology uses an interpretive theory building, multiple case-based approach (n = 3) as part of a USHC. The data collection methods include, interviews (n = 54), focus groups (n = 10), document analysis and participant observation (reflective learning logs) over a five-year period giving longitudinal data. The empirical findings lead to the development of a conceptual framework showing that management capabilities in driving PM deployment and evolution can be represented as multilevel renewal and incremental Dynamic Capabilities, which can be further understood in terms of motivation and behaviour by Goal-Theoretic constructs. In addition, three interrelated cross-cutting themes of management capabilities in consensus building, goal setting and resource change were identified. These management capabilities require carefully planned development and nurturing within the UHSC.     

Project risk management using multiple criteria decision-making technique and decision tree analysis: a case study of Indian oil refinery

This study proposes an integrated analytical framework for effective management of project risks using combined multiple criteria decision-making technique and decision tree analysis. First, a conceptual risk management model was developed through thorough literature review. The model was then applied through action research on a petroleum oil refinery construction project in the Central part of India in order to demonstrate its effectiveness. Oil refinery construction projects are risky because of technical complexity, resource unavailability, involvement of many stakeholders and strict environmental requirements. Although project risk management has been researched extensively, practical and easily adoptable framework is missing. In the proposed framework, risks are identified using cause and effect diagram, analysed using the analytic hierarchy process and responses are developed using the risk map. Additionally, decision tree analysis allows modelling various options for risk response development and optimises selection of risk mitigating strategy. The proposed risk management framework could be easily adopted and applied in any project and integrated with other project management knowledge areas.