The Impact of Strategies in Supply Chain Management for Better Performance in Manufacturing SMEs in Aguascalientes

This research aims to analyze the impact of the implementation of strategies in the the Supply Chain Management (SCM), Manufacturing for SMEs in Aguascalientes may have a higher yield. The analysis was performed through the design of an assessment tool aimed at managers through an empirical study in the period from August to December 2013. The methodology has been quantitative approach, as well as correlational and descriptive the sample is random. The expected results are intended to influence the decisions taken by the managers in their organizations to the SCM is still complex, it is more efficient through the implementation of strategies for increased output in manufacturing SMEs in Aguascalientes. In this sense, the expected results intended sizing how important the integration of strategies is in the practice of the SCM, and in turn, the impact of this influence on the Performance of Manufacturing SMEs. In this study, structural equation modeling technique was applied to support software EQS 6.

Sustainable operations of industrial symbiosis: an enterprise input-output model integrated by agent-based simulation

Industrial symbiosis (IS) is a key for implementing circular economy. Through IS, wastes produced by one company are used as inputs by other companies. The operations of IS suffers from uncertainty barriers since wastes are not produced upon demand but emerge as secondary outputs. Such an uncertainty, triggered by waste supply-demand quantity mismatch, influences IS business dynamics. Accordingly, companies have difficulty to foresee potential costs and benefits of implementing IS. The paper adopts an enterprise input-output model providing a cost–benefit analysis of IS integrated to an agent-based model to simulate how companies share the total economic benefits stemming from IS. The proposed model allows to explore the space of cooperation, defined as the operationally favourable conditions to operate IS in an economically win-win manner. This approach, as a decision-support tool, allows the user to understand whether the IS relationship is created and how should the cost-sharing policy be. The proposed model is applied to a numerical example. Findings show that cost-sharing strategies are dramatically affected by waste supply-demand mismatch and by the relationship between saved and additional costs to run IS. Apart from methodological and theoretical contributions, the paper proposes managerial and practical implications for business strategy development in IS

Managing the trade-off implications of global supply

The cost versus response trade-off is a growing logistics issue due to many markets being increasingly characterized by demand uncertainty and shorter product life cycles. This is exacerbated further with supply increasingly moving to low cost global sources. However, the poor response implications of global supply are often not addressed or even acknowledged when undertaking such decisions. Consequently, various practical approaches to minimising, postponing or otherwise managing the impact of the demand uncertainty are often only adopted retrospectively. Even though such generic solutions are documented through case examples we lack effective tools and concepts to support the proactive identification and resolution of such trade-offs. This paper reports on case-based theory building research, involving three cases from the UK and USA used in developing a conceptual model with associated tools, in support of such a process

The strategic integration of agile and lean supply

Lean supply is closely associated with enabling flow and the elimination of wasteful variation within the supply chain. However, lean operations depend on level scheduling and the growing need to accommodate variety and demand uncertainty has resulted in the emergence of the concept of agility. This paper explores the role of inventory and capacity in accommodating such variation and identifies how TRIZ separation principles and TOC tools may be combined in the integrated development of responsive and efficient supply chains. A detailed apparel industry case study is used to illustrate the application of these concepts and tools

The rise of the sharing economy: estimating the impact of Airbnb on the hotel industry

Peer-to-peer markets, collectively known as the sharing economy, have emerged as alternative suppliers of goods and services traditionally provided by long-established industries. We explore the economic impact of the sharing economy on incumbent firms by studying the case of Airbnb, a prominent platform for short-term accommodations. We analyze Airbnb's entry into the state of Texas, and quantify its impact on the Texas hotel industry over the subsequent decade. We estimate that in Austin, where Airbnb supply is highest, the causal impact on hotel revenue is in the 8-10% range; moreover, the impact is non-uniform, with lower-priced hotels and those hotels not catering to business travelers being the most affected. The impact manifests itself primarily through less aggressive hotel room pricing, an impact that benefits all consumers, not just participants in the sharing economy. The price response is especially pronounced during periods of peak demand, such as SXSW, and is due to a differentiating feature of peer-to-peer platforms -- enabling instantaneous supply to scale to meet demand.Accepted manuscrip

Guidance for the application of a dynamic purchasing portfolio model for defence procurement – A Swedish perspective

Purpose: The purpose of this paper is to develop guidance, including tactical levers, for the application of a dynamic purchasing portfolio model (PPM) for defence procurement. Design/methodology/approach: The study uses a workshop and a literature review to identify suitable tactical levers for the application of a dynamic PPM for defence procurement. Based on application rules proposed in previous research (Ekström et al., 2021), the study then formulates guidance for application and validates the methodology in two desktop exercises. Findings: The study identifies tactical levers and proposes guidance for the application of a dynamic PPM for defence procurement. Research limitations/implications: The proposed guidance includes tactical levers, which will enable defence authorities to dynamically reposition in the segmentation model proposed by Ekström et al. (2021) and find an enhanced position to optimise. The presented results build on a study in the Swedish defence context. To determine generalisability, additional studies are required. Originality/value: The paper develops guidance, including tactical levers, for the application of a dynamic PPM for defence procurement, which is original in several aspects. The guidance addresses public procurement, which is a novelty. In contrast to most extant PPMs, the model is dynamic, which enables practitioners to reposition in the model. Keywords: Purchasing portfolio model, tactical levers, guidance for application, defence procurement, military logistics. Paper type: Research paper

The Relationship between Product Nature and Supply Chain Strategy; An empirical evidence

Abstract The purpose of the paper is to explore the relationship between the nature of product and respective supply chain strategy of the firms operation in manufacturing sector. The relationship is investigated by using the fishers model as conceptual framework. Data was collected through questionnaire-based self-administered survey. The results of the survey were analysed by testing the fishers model related to Supply Chain Strategy and product characteristics. The results of the study indicated that there is a significant relationship between nature of the product and supply chain strategy in manufacturing sector of Pakistan. The practical implication can be derived by the policy makers and practitioners of the supply chain strategy domain that characteristics of the product can have an impact of the decision to device supply chain strategy. Furthermore, this study is conducted in special context of underdeveloped country like Pakistan. Therefore, results of this study enhanced the existing literature on underdeveloped economies

Knowledge management: Using a knowledge requirements framework to enhance UK health sector supply chains

The gaps of mismatch both knowledge and understanding of beneficiaries and solution providers at the initial stage of developing projects have led to the failures of many projects including supply chains (SC) and related information technology systems (ITS) projects (Lyytinen and Hirschheim, 1987) . The aims of this paper are first, to address theoretical framework by bridging the gaps of different types of knowledge. Second, to establishing business requirements and the flow of information in supply chains between beneficiaries and solution providers in the long and complicated supply chains of the UK’s Health Sector. On the basis of brief introduction to knowledge, knowledge management and supply chain, the paper presents a practical framework that has been developed through critical and relevant literatures in the above three subject areas. Techniques and Tools stem from both management science and information systems were used to provide a possible solution for the problem in bridging the gaps of mismatch knowledge and understanding at the initial stage of identifying requirements in projects through knowledge sharing and transfer

On the Stability of the German Beveridge Curve. A Spatial Econometric Perspective

In this paper, we use the Beveridge relationship to address the effectiveness of the matching process, that brings workers searching for jobs together with employers searching for workers. For a fixed matching technology, the curve yields a negative relation between the unemployment rate and the rate of vacancies. Movements along a curve reflect adjustments over the business cycle. In a recession vacancies are closed, and workers enter the unemployed. Shifts of the curve are more important here, as they point to structural change. For example, an outward shift of the curve indicates an in-creased mismatch, perhaps due to a deterioration in human capital of the unemployed or changes in the unemployment benefit system, which affects the willingness of the un-employed to fill out vacancies. Empirical estimates rely on panel data. A sample of 180 regional labour markets is em-ployed, and the sample period runs from 1993 to 2004. The regional labour markets are seperated on the base of flows of the job commuters and correspond to travel-to-work areas. Due to common or idiosyncratic shocks, however, the cross sections are not inde-pendent. Instead, they are tied together to some extent, and the spillovers account for spatial effects. As these patterns can have an impact on the correlation between unem-ployment and vacancy rates, the results of OLS regressions are eventually biased. Thus the Beveridge curve is efficiently estimated by a spatial procedure, where regional de-pendencies are taken into account. No previous paper has investigated a similar broad regional dataset so far. The eigenfunction decomposition approach suggested by Griffith (1996, 2000) is used to identify spatial and non-spatial components in regression analysis. As the spatial pat-tern may vary over time, inference is conducted on the base of a spatial seemingly unre-lated regressions (spatial SUR) model. Due to this setup, efficient estimates for the Beveridge relationship are obtained. Time dummies are used to control for shifts in the curve. The empirical results provide some indication that the degree of job mismatch has increased over the recent periods.