Traditional culture echoes? The impact of clan culture upon partner surname sharing: Evidence from Chinese supply chains

2021 ◽  
Vol 99 ◽  
pp. 40-53
Author(s):  
Huiyang Li ◽  
Heng Liu ◽  
Hanqing Zhao
Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 12
Author(s):  
Lakshmy Subramanian

Health supply chains aim to improve access to healthcare, and this can be attained only when health commodities appropriate to the health needs of the global population are developed, manufactured, and made available when and where needed. The weak links in the health supply chains are hindering the access of essential healthcare resulting in inefficient use of scarce resources and loss of lives. A chain is only as strong as its weakest link, and demand forecasting is one of the weakest links of health supply chains. Also, many of the existing bottlenecks in supply chains and health systems impede the accurate forecasting of demand, and without the ability to forecast demand with certainty, the stakeholders cannot plan and make commitments for the future. Forecasts are an important feeder for budgeting and logistics planning. Under this backdrop, the study examines how improved forecasting can lead to better short-term and long-term access to health commodities and outlines market-related risks. It explores further how incentives are misaligned creating an uneven distribution of risks, leading to the inability to match demand and supply. For this purpose, a systematic literature review was performed, analyzing 71 articles from a descriptive and content approach. Findings indicate the emerging trends in global health and the consequences of inaccurate demand forecasting for health supply chains. The content analysis identifies key factors that can pose a varying degree of risks for the health supply chain stakeholders. The study highlights how the key factors emerge as enablers and blockers, depending on the impact on the overall health supply chains. The study also provides recommendations for actions for reducing these risks. Consequently, limitations of this work are presented, and opportunities are identified for future lines of research. Finally, the conclusion confirms that by adopting a combination of approaches, stakeholders can ensure better information sharing, identify avenues of diversifying risks, and understand the implications.


2021 ◽  
Vol 13 (11) ◽  
pp. 6372
Author(s):  
Vincenzo Varriale ◽  
Antonello Cammarano ◽  
Francesca Michelino ◽  
Mauro Caputo

The digital transformation of supply chains should revolutionize entire management processes and improve various aspects of sustainability. In particular, the plans of Industry 4.0 aim towards a digitization of several procedures by exploiting emerging technologies such as the Internet of Things, RFID and blockchain. The purpose of this study is to highlight how order and disruption events processes can be improved with the adoption of emerging technologies and how this reflects on the improvement of sustainability aspects. The study is based on the comparison of two simulation scenarios between three actors in the cheese supply chain. In particular, a first traditional scenario “as is” is simulated without the use of new technologies and is compared to a second scenario “to be” that adopts IoT, RFID and blockchain. The results show an improvement in time performance for managing both perfect and non-compliant orders. The developed framework highlights the impact of new technologies on sustainability aspects, showing further managerial implications.


2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.


2015 ◽  
Vol 35 (12) ◽  
pp. 1688-1709 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple

Purpose – Best-value supply chains characterized by agility, adaptability, and alignment, have become a crucial strategic means for firms to create and sustain competitive advantage in today’s turbulent environment. The purpose of this paper is to investigate linkage between best-value supply chains and firms’ competitive performance. Design/methodology/approach – In Study 1, survey data from 76 firms is used to test the impact of the three qualities of best-value supply chains on firms’ competitive performance. In Study 2, to test if a firm’s competitive advantage can be sustained through building best-value supply chains, a long-run performance analysis is conducted, which is based on a stock portfolio of firms identified from the American Marketing Association’s annual list of “Supply Chain Top 25.” Findings – The results of Study 1 indicate that the three qualities of best-value supply chains are positively related to firms’ competitive performance. The results of Study 2 show that firms having best-value supply chains generate significant and positive abnormal returns for shareholders over time. Originality/value – This is a multiple-method research, providing two-level empirical evidence to the investigation of theoretical linkage between best-value supply chains and firms’ competitive performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Badraoui ◽  
Ivo van der Lans ◽  
Youssef Boulaksil ◽  
Jack G.A.J. van der Vorst

PurposeThis study investigates the impact of agri-food supply chains (AFSCs) characteristics on the antecedents of horizontal logistics collaboration (HLC). Specifically, the study compares the relationship between collaboration activities and outcomes for companies in and outside AFSCs.Design/methodology/approachFirst, a survey was used to collect data from different industries. Second, confirmatory factor analysis and structural equation modeling were applied to compare the measurement and structural models from different industry categories.FindingsThe results support the premise that collaboration improves trust and commitment in the relationship, which in turn enhance satisfaction. The results also show the existence of a minor influence of AFSCs characteristics on HLC antecedents, in the form of an indirect impact of dedicated investments on commitment.Practical implicationsThe factors having a significant influence on the collaboration outcomes and their respective effects are generally similar across food and nonfood supply chains, providing opportunities for interdisciplinary and collaboration experiences.Originality/valueThis research contributes to the body of knowledge on interfirm collaboration by considering the specificities of HLC. It also highlights the importance of conducting contingency research on collaborative experiences, as firms from different industry contexts operate under distinct operational conditions.


2019 ◽  
Vol 273 (3) ◽  
pp. 920-932 ◽  
Author(s):  
Bahman Rostami-Tabar ◽  
M. Zied Babai ◽  
Mohammad Ali ◽  
John E. Boylan

2017 ◽  
Vol 8 (2) ◽  
pp. 30-40 ◽  
Author(s):  
Peter Nielsen ◽  
Zbigniew Michna ◽  
Brian Bruhn Sørensen ◽  
Ngoc Do Anh Dung

AbstractLead times and their nature have received limited interest in literature despite their large impact on the performance and the management of supply chains. This paper presents a method and a case implementation of the same, to establish the behavior of real lead times in supply chains. The paper explores the behavior of lead times and illustrates how in one particular case they can and should be considered to be independent and identically distributed (i.i.d.). The conclusion is also that the stochastic nature of the lead times contributes more to lead time demand variance than demand variance.


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