scholarly journals Supply chain disruptions: the influence of industry and geography on firm reaction speed

2019 ◽  
Vol 39 (9/10) ◽  
pp. 1076-1098 ◽  
Author(s):  
Benn Lawson ◽  
Antony Potter ◽  
Frits K. Pil ◽  
Matthias Holweg
Keyword(s):  
Supply Chain ◽  
Response Time ◽  
Hierarchical Linear Modeling ◽  
Geographic Distance ◽  
Well Being ◽  
Product Recalls ◽  
Consumer Health ◽  
Data Set ◽  
Content Type ◽  
Firm Response

Purpose Responding in a timely manner to product recalls emanating from the supply chain presents tremendous challenges for most firms. The source might be a supplier from the same industry located next door, or one from a completely different sector of the economy situated thousands of miles away. Yet the speed of the firm’s response is crucial to mitigating the consequences of the recall both for the firm, and consumer health and well-being. The purpose of this paper is to investigate the effects of geographic distance, industry relatedness and clustering on firm response time to a supplier-initiated product recall. Design/methodology/approach The authors test the theoretical framework via an examination of food recall announcements registered with the US Food and Drug Administration over a ten-year period. The authors develop a data set comprising 407 pairs of supplier and affected downstream manufacturing firms, and utilize cross-classified hierarchical linear modeling to understand the drivers of organizational responsiveness. Findings The results suggest that firm response time is lengthened by geographic distance but reduced when the supplier and affected firm operate in related industry sectors. The authors further find that as more firms in a given industry are affected by the same recall, response time deteriorates. Originality/value Product recalls in the agri-food industry are significant events initiated to protect consumer health and ensure the safety of the farm-to-fork food chain. The findings highlight how both geographic- and industry-related factors determine the speed of firm responsiveness to these events.

An examination of organizational and community effects on police response time

2020 ◽  
Vol 43 (6) ◽  
pp. 935-946
Author(s):  
Nicholas Andrew Salimbene ◽  
Yan Zhang
Keyword(s):  
Response Time ◽  
Hierarchical Linear Modeling ◽  
Police Department ◽  
Organizational Factors ◽  
Community Level ◽  
Police Response ◽  
Data Set ◽  
Content Type ◽  
Community Factors ◽  
The Impact

PurposeThe primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.Design/methodology/approachThe current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).FindingsThe results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.Research limitations/implicationsThere are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.Originality/valueThe most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.

Supply chain in the C-suite: the effect of chief supply chain officers on incidence of product recalls

2021 ◽  
Vol 26 (4) ◽  
pp. 495-513
Author(s):  
Maximilian Körber ◽  
Diogo Cotta
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Top Management Teams ◽  
Product Recalls ◽  
Product Recall ◽  
Consumer Product Safety Commission ◽  
Data Set ◽  
Content Type ◽  
Specific Responsibility ◽  
Underlying Causes

Purpose This study aims to investigate the extent to which the presence of chief supply chain officers (CSCOs) in top management teams (TMTs) helps firms to reduce the incidence of product recalls. Design/methodology/approach The authors identified all recalls for the period 2010–2017 issued by publicly held firms regulated by the US Consumer Product Safety Commission. These data were subsequently combined with information on TMT composition from BoardEx and financial performance data from Compustat to create a unique data set. Findings The study identified a significant and negative association between CSCO presence and incidence of product recalls. The evidence also supports the conjecture that this association is stronger in larger firms, indicating that CSCOs are especially effective when operating within more complex supply chains. Practical implications The findings provide important insights into quality management in contemporary supply chains and indicate that assigning specific responsibility for supply chain management to a TMT member improves product reliability. Originality/value These findings contribute to the growing literature on the underlying causes of a product recall by identifying corporate governance antecedents of external quality failures of this kind.

scholarly journals The impact of gasoline shortages on public bike-sharing systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xabier Barriola
Keyword(s):  
Supply Chain ◽  
Mexico City ◽  
Latin American ◽  
Well Being ◽  
Sustainable Transportation ◽  
Control Group ◽  
Data Set ◽  
Content Type ◽  
Bike Sharing ◽  
The Impact

PurposeThis paper aims to analyze the effect of a recent disruption of Mexico's gasoline supply chain on the usage of public bike-sharing systems in Mexico City and Guadalajara.Design/methodology/approachThe authors use a detailed data set to understand the usage patterns of Ecobici and Mibici. The authors assess both systems with a differences-in-differences econometric model using the least popular stations as a control group.FindingsThe authors find that the number of rides increased significantly shortly after the event because less popular stations became more utilized.Social implicationsThe authors show that when the effects of gasoline shortages were noticeable, usage rates increased in Guadalajara and Mexico City, but the rise primarily came from the users selecting more bikes from the less popular stations. Therefore, the authors show that citizens in both cities regarded bike-sharing as an adequate means of transportation, maximizing system usage during a disruptive time. This finding suggests that cities should invest in improving public bike-sharing systems to reduce carbon emissions and increase their population's well-being.Originality/valueThe authors use a publicly available data set to understand how citizens answered to a major disruption. Furthermore, this is one of the first papers that align supply chain risk management with sustainable transportation and analyzes its effects on citizen behavior in a Latin American setting.

Market responsiveness: antecedents and the moderating role of external supply chain integration

2017 ◽  
Vol 32 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Tuan Luu
Keyword(s):  
Supply Chain ◽  
Supply Chain Integration ◽  
Manufacturing Companies ◽  
Data Set ◽  
Content Type ◽  
Business Context ◽  
Market Responsiveness ◽  
Positive Effect ◽  
Ambidextrous Leadership

Purpose The interaction between opening and closing behaviors of ambidextrous leadership produces “change” force throughout the organization in proactive response to market forces. This research aims to assess the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and market responsiveness. The research also seeks an insight into how external supply chain integration moderates the positive effect of EO on market responsiveness. Design/methodology/approach Research data were collected from 327 meso-level managers and 517 subordinates from chemical manufacturing companies in the Vietnam business context. Findings Research findings shed light on the positive effect of ambidextrous leadership on EO, which in turn contributes to market responsiveness. The moderation role that external supply chain integration plays on the EO–market responsiveness linkage was also grounded on the data set. Originality/value Through the identification of the predictive roles of ambidextrous leadership and EO for market responsiveness, the current research indicates the convergence between leadership, EO and market responsiveness research streams.

Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Ali Shamsoddini ◽  
S. Travis Waller
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Learning Method ◽  
Data Set ◽  
Content Type ◽  
Field Database ◽  
The Stability ◽  
Stable Learning ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method. Design/methodology/approach Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks. Findings MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches. Practical implications The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry. Originality/value Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

A revision of Hofstede’s model of national culture: old evidence and new data from 56 countries

2018 ◽  
Vol 25 (2) ◽  
pp. 231-256 ◽  
Author(s):  
Michael Minkov
Keyword(s):  
Cultural Differences ◽  
National Culture ◽  
Well Being ◽  
Two Dimensions ◽  
Internal Reliability ◽  
Data Set ◽  
Content Type ◽  
Gender Egalitarianism ◽  
Fifth Dimension ◽  
National Differences

PurposeHofstede’s model of national culture has enjoyed enormous popularity but rests partly on faith. It has never been fully replicated and its predictive properties have been challenged. The purpose of this paper is to provide a test of the model’s coherence and utility.Design/methodology/approachAnalyses of secondary data, including the World Values Survey, and a new survey across 56 countries represented by nearly 53,000 probabilistically selected respondents.FindingsImproved operationalizations of individualism-collectivism (IDV-COLL) suggest it is a robust dimension of national culture. A modern IDV-COLL index supersedes Hofstede’s 50 year-old original one. Power distance (PD) seems to be a logical facet of IDV-COLL, rather than an independent dimension. Uncertainty avoidance (UA) lacks internal reliability. Approval of restrictive societal rules and laws is a facet of COLL and is not associated with national anxiety or neuroticism. UA is not a predictor of any of its presumed main correlates: importance of job security, preference for a safe job, trust, racism and xenophobia, subjective well-being, innovation, and economic freedom. The dimension of masculinity-femininity (MAS-FEM) lacks coherence. MAS and FEM job goals and broader values are correlated positively, not negatively, and are not related to the MAS-FEM index. MAS-FEM is not a predictor of any of its presumed main correlates: achievement and competition orientation, help and compassion, preference for a workplace with likeable people, work orientation, religiousness, gender egalitarianism, foreign aid. After a radical reconceptualization and a new operationalization, the so-called “fifth dimension” (CWD or long-term orientation) becomes more coherent and useful. The new version, called flexibility-monumentalism (FLX-MON), explains the cultural differences between East Asian Confucian societies at one extreme and Latin America plus Africa at the other, and is the best predictor of national differences in educational achievement.Research limitations/implicationsDifferences between subsidiaries of a multinational company, such as IBM around 1970, are not necessarily a good source of knowledge about broad cultural differences. A model of national culture must be validated across a large number of countries from all continents and its predictions should withstand various plausible controls. Much of Hofstede’s model (UA, MAS-FEM) fails this test while the remaining part (IDV-COLL, PD, LTO) needs a serious revision.Practical implicationsConsultancies and business schools still teach Hofstede’s model uncritically. They need to be aware of its deficiencies.Originality/valueAs UA and MAS-FEM are apparently misleading artifacts of Hofstede’s IBM data set, a thorough revision of Hofstede’s model is proposed, reducing it to two dimensions: IDV-COLL and FLX-MON.

Supply chain integration and firm performance: an empirical study of Swedish manufacturing firms

2014 ◽  
Vol 24 (1) ◽  
pp. 20-31 ◽  
Author(s):  
Hooshang M. Beheshti ◽  
Pejvak Oghazi ◽  
Rana Mostaghel ◽  
Magnus Hultman
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Well Being ◽  
Survey Instrument ◽  
Global Market ◽  
Manufacturing Firms ◽  
Supply Chain Integration ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact

Purpose – This article aims to explore the impact of supply chain integration on the financial performance of Swedish manufacturing firms. Design/methodology/approach – The literature review provided the foundation for the development of the survey instrument and hypotheses for the study. In addition, the survey instrument was tested by the experts in the field and modified before it was sent to the managers in the survey group. Findings – The findings show that supply chain integration at any level is beneficial to the financial well being of the firm. Companies with total supply chain integration reported the highest level of financial performance. Research limitations/implications – Data were collected from Swedish manufacturing firms without regard to the size of the firm. The results show that supply chain integration is beneficial at any level. Practical implications – The findings will assist managers with decisions regarding supply chain integration and its role as a critical factor in improving the financial performance of manufacturing companies. Originality/value – Limited empirical studies have been conducted in this area, especially in Sweden. This study provides insight for manufacturing managers with regard to the importance of supply chain management and the competitive nature of business in the global market.

Pollution optimisation study of logistics in SMEs

2019 ◽  
Vol 30 (4) ◽  
pp. 731-750 ◽  
Author(s):  
Anand Jaiswal ◽  
Cherian Samuel ◽  
G. Abhishek Ganesh
Keyword(s):  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Pollutant Emission ◽  
Vehicular Pollution ◽  
Data Set ◽  
Content Type ◽  
Logistics Network ◽  
Pollution Emission ◽  
Optimisation Model ◽  
Medium Enterprises

Purpose The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in the logistics network. Design/methodology/approach The paper proposes an optimisation model to reduce the pollution emission in the logistics of supply chain network in SMEs. The work considers vehicle routing and selection of suppliers, manufacturers and assemblers according to the availability of various Bharat Stage Emission Standards type vehicles. Introsort sorting based selection algorithm is used to solve the problem. The proposed solution is implemented using C++ on an experimental data set for analysing the model. Findings The outcome of the study is a pollution optimisation model for logistics of SMEs. The finding shows an approach to reduce total vehicular pollution emission in the logistics network in meeting the demand. The model is tested over an experimental study, and the result findings show which supply chain entities, type of environmental standard vehicles and vehicle routes are selected for the specific demand. Research limitations/implications The proposed model is confined to pollution optimisation with limited parameters only and does not consider cost and other factors that can be included in future work. Practical implications The work can be used for limiting pollution in logistics system as the corporate social responsibility of enterprises. Originality/value Proposed work presents a sustainable and green solution for pollution control in logistics activities of the SMEs.

Board diversity and performance in a masculine, aged and glocal supply chain: new empirical evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Giulio Calabrese ◽  
Alessandro Manello
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Empirical Evidence ◽  
Linear Models ◽  
Data Set ◽  
Board Diversity ◽  
Content Type ◽  
Automotive Supply Chain ◽  
And Performance ◽  
Automotive Supply

Purpose This study aims to contribute to the debate on the relationship between board diversity and performance, a hot topic for scholars and shareholders. A number of studies have found contrasting impacts of board diversity on firm performance and this paper adds new and original evidence in the context of the automotive supply chain focusing on gender, age and nationality diversity. Design/methodology/approach The authors propose a triple stage empirical analysis. First, the authors use linear models according to different performance indexes for investigating diversity (gender, age and nationality) within the board of directors and executives. Second, the authors investigate the issue of diversity in different contexts such as position in the supply chain, nationality of the owner and family/corporate ownership. Finally, the authors use non-linear models to find a better combination of diversity in terms of gender and nationality for retrieving some managerial implications. Findings First, the authors demonstrate a robust positive effect of women in board representation on firm performance in terms of profitability and firm risk. In the case of, age and nationality the results are more equivocal in particular for the former. Second, the authors depict board diversity in different contexts as follows: positioning in the supply chain, type and nationality of the final owner. Again, gender heterogeneity is more adequate in the complex firm as Tier 1 suppliers, corporate and foreign company. Originality/value The authors focused the analysis on a specific industry, shedding light on the main specificities linked to operating in certain phases of the supply chain, a substantial novelty in this field. The empirical evidence is based on a very large data set containing quantitative and qualitative information on a representative sample of 1,538 firms operating in the Italian automotive supply chain, one of the most relevant in Europe.

Broken chocolate: biomarkers as a method for delivering cocoa supply chain visibility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Lafargue ◽  
Michael Rogerson ◽  
Glenn C. Parry ◽  
Joel Allainguillaume
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Unknown Origin ◽  
Child Labour ◽  
Institutional Pressures ◽  
Structured Interviews ◽  
Data Set ◽  
Content Type ◽  
Modern Slavery ◽  
Chain Map

Purpose This paper examines the potential of “biomarkers” to provide immutable identification for food products (chocolate), providing traceability and visibility in the supply chain from retail product back to farm. Design/methodology/approach This research uses qualitative data collection, including fieldwork at cocoa farms and chocolate manufacturers in Ecuador and the Netherlands and semi-structured interviews with industry professionals to identify challenges and create a supply chain map from cocoa plant to retailer, validated by area experts. A library of biomarkers is created using DNA collected from fieldwork and the International Cocoa Quarantine Centre, holders of cocoa varieties from known locations around the world. Matching sample biomarkers with those in the library enables identification of origins of cocoa used in a product, even when it comes from multiple different sources and has been processed. Findings Supply chain mapping and interviews identify areas of the cocoa supply chain that lack the visibility required for management to guarantee sustainability and quality. A decoupling point, where smaller farms/traders’ goods are combined to create larger economic units, obscures product origins and limits visibility. These factors underpin a potential boundary condition to institutional theory in the industry’s fatalism to environmental and human abuses in the face of rising institutional pressures. Biomarkers reliably identify product origin, including specific farms and (fermentation) processing locations, providing visibility and facilitating control and trust when purchasing cocoa. Research limitations/implications The biomarker “meta-barcoding” of cocoa beans used in chocolate manufacturing accurately identifies the farm, production facility or cooperative, where a cocoa product came from. A controlled data set of biomarkers of registered locations is required for audit to link chocolate products to origin. Practical implications Where biomarkers can be produced from organic products, they offer a method for closing visibility gaps, enabling responsible sourcing. Labels (QR codes, barcodes, etc.) can be swapped and products tampered with, but biological markers reduce reliance on physical tags, diminishing the potential for fraud. Biomarkers identify product composition, pinpointing specific farm(s) of origin for cocoa in chocolate, allowing targeted audits of suppliers and identifying if cocoa of unknown origin is present. Labour and environmental abuses exist in many supply chains and enabling upstream visibility may help firms address these challenges. Social implications By describing a method for firms in cocoa supply chains to scientifically track their cocoa back to the farm level, the research shows that organizations can conduct social audits for child labour and environmental abuses at specific farms proven to be in their supply chains. This provides a method for delivering supply chain visibility (SCV) for firms serious about tackling such problems. Originality/value This paper provides one of the very first examples of biomarkers for agricultural SCV. An in-depth study of stakeholders from the cocoa and chocolate industry elucidates problematic areas in cocoa supply chains. Biomarkers provide a unique biological product identifier. Biomarkers can support efforts to address environmental and social sustainability issues such as child labour, modern slavery and deforestation by providing visibility into previously hidden areas of the supply chain.

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