Outsourcing the procurement function: Do actions and results align with theory?

Are common theories of outsourcing useful in predicting the extent of and performance gains from the outsourcing of procurement activities? Or does procurement׳s broad scope and boundary-spanning role confound successful analysis? This study applies a theoretical framework combining concepts from transaction-cost economics (TCE) and the resource-based view (RBV) to study the procurement outsourcing decisions of two hundred and eighty US-based electronics manufacturing firms. Findings suggest that TCE and RBV act in complementary ways on the procurement outsourcing decision. TCE, through fear of supplier opportunism, appears to be the primary driver of the extent to which procurement activities are outsourced. The RBV, through which the OEM׳s resource position in procurement vis-à-vis its outsourcing partner is determined, appears to be the primary determinant of the performance results of the outsourcing decision. Procurement activities are outsourced to a greater extent when fear of supplier opportunism is low, but such outsourcing is only “justified” (expected to yield performance benefits) when the OEM has a weak resource position vis-à-vis the outsourcing partner. An “enriched” TCE–RBV framework is presented and discussed as part of study results.     

采气工劳动防护用品配置配备标准分析探讨

针对采气工在生产工作中所处的工作环境,分析了其对人体的7个部位可能造成的伤害,提出了"配置到站"与"配置到人"两种配置模式,从标准的适应性和经济性进行了分析,并提出了相应的劳动防护用品配置标准的改进建议。     

Making sustainable sourcing decisions: practical evidence from the automotive industry

Achieving environmental and sustainable performance within an organisation’s supply chain and manufacturing operations will be feasible if upstream supply partners have the same commitments in performing their operations in a sustainable manner. Given the debate above, we propose a comprehensive framework to address the sustainable supplier selection and order allocation (SSS&OA) problem. The framework developed is practical, that starts by using an audition check-list specific for each sustainability dimension (environmental, economic and social), from which the weighted values of its comprised criteria are obtained. The weighted scores of the selected sustainable suppliers are utilised by a proposed bi-objective order allocation model in order to make sourcing decisions. The strength of the proposed framework is its practical applicability to provide a solution for SSS&OA problems which is validated through a real-world application. Finally, research findings, theoretical and managerial insights and also directions for additional research are presented.     

Conservation tenders in low-income countries: Opportunities and challenges

The number of payments for environmental service schemes (PES) in low-income countries has grown more rapidly than in high-income countries. Yet, scarce funding among potential service buyers in low-income countries arguably makes it even more important to design PES cost-effectively. Tendering conservation contracts is one possible way to improve the cost-effectiveness of PES schemes. There is reason to believe that they are particularly well-suited to overcome some typical constraints in low-income environments. However, experience with conservation tenders in low-income countries remains limited to a handful of scientifically motivated experimental trials. Larger roll-outs can so far only be found in high-income countries, mainly the US and Australia. How different would rolled-out PES tenders perform in low-income countries, and would they require distinct design features? Here, we identify specific opportunities and challenges for implementing conservation tenders in low-income countries. Conceptually, we examine each implementation step of a tendered PES for typical low-income country characteristics. Some may affect the design requirements for successful implementation, in either positive or negative ways, compared with the typical high-income country case. Imperfect markets and information about production systems, high subsistence incomes, high variability in prices and yields, and risk-averse behavior all constitute characteristics which conservation tenders may be particularly suited to address. Conversely, lack of expertise and infrastructure can hamper tender design and the dissemination of information to potential participants. Some of these challenges can be dealt with, but solutions unavoidably increase transaction costs which, in turn, may affect scalability. While tenders reduce poverty alleviation effects when informational rents of service providers are being squeezed, tendered PES programs do not reduce rents to zero under normal circumstances, and can therefore still deliver income transfers and contribute to poverty alleviation.     

Maximizing benefits in project selection: a hybrid approach

Charitable foundations and government programmes should endeavour to allocate their limited resources to best serve their constituents. Yet, mathematical programming techniques are rarely used despite overwhelming evidence of their superiority in selecting projects that yield higher levels of total benefits. We present a novel ‘hybrid selection model’ that combines binary linear programming and heuristic rank-based models applied to two case studies. The first case focuses on providing services to women and shows a hybrid model would have selected the top three ‘signature’ projects and maintained an above-average overall project benefit while securing a 180% improvement in the number of projects funded, a 66% improvement in the number of women served and a 132% improvement in the total benefit achieved. In the second case, we apply the hybrid approach to data from the US government’s largest forest preservation programme and demonstrate that the hybrid approach could allow the programme to select up to 11 top-scoring projects while still achieving a 97% gain in the total overall benefit compared to their traditional method. These case studies show that the hybrid approach has the potential to be applied in a variety of settings and improve how foundations and programmes achieve their goals.     

FIPIA with information entropy: A new hybrid method to assess airline service quality

This study proposes “FIPIA with information entropy” as a new, hybrid method to assess airline service quality by identifying the most important priorities for airline passengers and producing recommendations to airline management for optimal resource allocation to improve service quality and customer satisfaction. The proposed method is an improvement over IPA, IPIA and FIPA methods, through the introduction of information entropy and fuzzy logic to the analysis of importance, performance and impact dimensions of airline service quality to improve interpretability and actionability of analysis results. This study also offers airline managers a list of what they should improve in resource allocation in order to increase service quality considering customer satisfaction and create value by managing the relational capital more effectively. The new hybrid method was field-tested by administering a 26-item questionnaire to passengers of a major airline operator, analyzing the responses using the Importance-Performance-Impact Analysis (IPIA) method, fuzzy logic and information entropy. The analysis revealed four main dimensions of airline service quality, namely reliability, assurance, tangibles, empathy and responsiveness with 17 constituent attributes. The case study revealed that (1) resource allocation was adequate only on four attributes; (2) seven service quality attributes were identified as needing further management focus on resource allocation; (3) six service quality attributes received more resources than necessary which should be shifted to other attributes; (4) dimensions of reliability and tangibles needed more focus than others. The proposed hybrid method of FIPIA with information entropy can be employed for any industry where service quality depends on multiple attributes.     

Community-based rural residential land consolidation and allocation can help to revitalize hollowed villages in traditional agricultural areas of China: Evidence from Dancheng County,Henan Province

The accelerated rural hollowing driven by vast and increasing out-migration of rural labors under urban–rural dual-track system has imposed huge obstacles on improving land use efficiency and coordinating urban–rural development in China. Taking Dancheng County in Henan Province as an example, this paper analyzes the status quo of rural hollowing and discusses two typical rural residential land consolidation and allocation (RRLCA) practices in traditional agricultural areas (TAAs) of China. The results show that, Dancheng experienced rapid rural hollowing characterized as the hollowing of rural industries, infrastructure, and residential population and settlements. However, Dancheng has considerable potential and the necessity of RRLCA, for the model-based estimation shows that the potential of increasing farmland by carrying out RRLCA was about 5649 ha. The two community-based RRLCA practices show positive effects on the improvement of local living conditions, increment of farmland area and development of rural industries. Their experiences, including self-organized rural planning, democratic decision-making, and endogenous institutional innovation may benefit future RRLCA. Overall, it indicates that promoting community-based RRLCA scientifically according to local conditions could provide an integrated platform for increasing farmland area, developing modern agriculture, promoting new countryside construction, and thus revitalize hollowed villages. On considering the limitations and obstacles of current initiatives, suggestions for future RRLCA in rural China have been put forward.