Trust and consumer confidence in the safety of dairy products in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yan Zhang ◽  
Lijun Guan ◽  
Shaosheng Jin
Keyword(s):  
Supply Chain ◽  
Dairy Products ◽  
Three Dimensions ◽  
Consumer Confidence ◽  
Consumer Trust ◽  
Chinese Consumers ◽  
Dairy Farmers ◽  
Content Type ◽  
Perceived Trust ◽  
Chinese Consumer

PurposeThis study aims to explore the degree of Chinese consumers' trust and confidence in the Chinese dairy products supply chain and the relationships between trust and overall confidence in dairy products safety and quality.Design/methodology/approachThis study collected data from 1,278 respondents by field survey from five provinces of China. The data were analyzed using ordered logit model.FindingsThis study shows the following results: (1) Chinese consumer confidence in domestic dairy products and trust in actors of the dairy chain are at a moderate-to-low level. (2) Government regulators are considered to take the most responsibility, with both an optimism-enhancing and a pessimism-reducing effect (the former effect is greater), while perceived trust in dairy farmers and retailers has little effect. (3) Perceived care has both an optimism-enhancing and a pessimism-reducing effect, and the former effect is stronger. Competence and openness have an optimism-enhancing effect and a pessimism-reducing effect, respectively. (4) The importance of the three dimensions of trust related to optimism-increasing and pessimism-reduction is limited, except in the case of government regulators.Originality/valueThis study contributes to a better understanding of consumer trust in food safety and also help demonstrate to the actors and institutions involved in the dairy supply chain the best way to improve the performance of their duties to meet the consumers' needs for safe and quality dairy products.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

How can mixed integer linear programming assist dairy manufacturers by integrating supply decisions and production planning?

2021 ◽  
Vol 11 (2) ◽  
pp. 178-193
Author(s):  
Juliana Emidio ◽  
Rafael Lima ◽  
Camila Leal ◽  
Grasiele Madrona
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Dairy Products ◽  
Raw Milk ◽  
Mixed Integer ◽  
Content Type ◽  
Proposed Model ◽  
By Products

PurposeThe dairy industry needs to make important decisions regarding its supply chain. In a context with many available suppliers, deciding which of them will be part of the supply chain and deciding when to buy raw milk is key to the supply chain performance. This study aims to propose a mathematical model to support milk supply decisions. In addition to determining which producers should be chosen as suppliers, the model decides on a milk pickup schedule over a planning horizon. The model addresses production decisions, inventory, setup and the use of by-products generated in the raw milk processing.Design/methodology/approachThe model was formulated using mixed integer linear programming, tested with randomly generated instances of various sizes and solved using the Gurobi Solver. Instances were generated using parameters obtained from a company that manufactures dairy products to test the model in a more realistic scenario.FindingsThe results show that the proposed model can be solved with real-world sized instances in short computational times and yielding high quality results. Hence, companies can adopt this model to reduce transportation, production and inventory costs by supporting decision making throughout their supply chains.Originality/valueThe novelty of the proposed model stems from the ability to integrate milk pickup and production planning of dairy products, thus being more comprehensive than the models currently available in the literature. Additionally, the model also considers by-products, which can be used as inputs for other products.

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

Enablers of supply chain integration: a technology-organization-environment view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Min Tian ◽  
Baofeng Huo ◽  
Youngwon Park ◽  
Mingu Kang
Keyword(s):  
Supply Chain ◽  
Human Resources ◽  
Supply Chain Integration ◽  
Three Dimensions ◽  
Manufacturing Strategy ◽  
Holistic Model ◽  
Content Type ◽  
Positive Effects ◽  
Supplier Integration ◽  
Toe Framework

PurposeThe purpose of this study is to empirically explore the effects and interaction effect of human resources and digital manufacturing technologies (DMTs) on supply chain integration (SCI) and how their roles are influenced by competition.Design/methodology/approachDrawing on the technology-organization-environment (TOE) framework, this study builds and tests a holistic model based on the International Manufacturing Strategy Survey (IMSS) project database.FindingsThe results show that human resources and DMTs have significant positive effects on three dimensions of SCI. Competition positively moderates the effects of human resources on customer integrations, negatively moderates the effects of human resource on internal integration, but does not moderate the effects of human resources on supplier integration. Besides, the moderating effect of competition has not been found in the relationships between DMTs and three SCI dimensions.Originality/valueBy investigating the effects of human resources and DMTs on SCI practices in the context of competition, this study contributes to the literature on SCI, DMTs and the TOE framework as well as offers practical insights that help manufacturing firms to promote SCI more effectively and efficiently.

Consumer trust in organic milk of different brands: the role of Chinese organic label

2016 ◽  
Vol 118 (7) ◽  
pp. 1769-1782 ◽  
Author(s):  
Shijiu Yin ◽  
Mo Chen ◽  
Yusheng Chen ◽  
Yingjun Xu ◽  
Zongsen Zou ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Government Regulation ◽  
Institutional Arrangement ◽  
Consumer Trust ◽  
Chinese Consumers ◽  
Organic Milk ◽  
Content Type ◽  
Organic Certification ◽  
Regulation Policy ◽  
Important Means

Purpose – Organic certification system became important means to restore consumer confidence in China. The purpose of this paper is to focus on consumer trust in organic milk of different brands and its influencing factors. Design/methodology/approach – The data were collected from 876 randomly selected consumers in Shandong Province, China. And an ordered logistic model was established to analyze influencing factors of consumer trust. Findings – Chinese consumers generally lack trust in organic milk. Consumer trust for different brands of organic milk was different, and was not high in general. Various factors, namely, age, education years, food safety awareness, evaluation of government regulation policy, evaluation of organic milk price, and purchase convenience, have a significant impact on consumer trust. Factors, such as income, environmental protection consciousness, and risk consciousness, are not significant. Originality/value – This research is of academic value and of value to policy makers and suppliers. Government should promote institutional arrangement and strengthening supervision in production, certification, and circulation of organic products. Organic suppliers should implement reliable marketing strategy, such as correct pricing, and build a more extensive and convenient distribution network.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

scholarly journals Putting sustainability into supply chain management

2014 ◽  
Vol 19 (3) ◽  
pp. 322-331 ◽  
Author(s):  
Philip Beske ◽  
Stefan Seuring
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Three Dimensions ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Chain Management ◽  
Content Type ◽  
Sustainability Performance ◽  
Sustainable Performance ◽  
Key Aspects

Purpose – The aim of this paper is to identify key categories of Sustainable supply chain management (SSCM) and related practices that are required to fulfill the demands of sustainability and, therefore, contributing to sustainability performance. As part of this, the authors will identify different approaches in practice implementation in SSCM and supply chain management (SCM). SSCM has become a topic of great interest and is linked to the assumption that a more sustainable performance for businesses would be achieved on its implementation. Such performance has to be achieved with respect to all three dimensions of sustainability. Design/methodology/approach – The paper is conceptual in nature. The authors draw from literature on SSCM and examine frameworks and critical accounts on the topic. This allows identifying key aspects of SSCM and pointing out differences and overlaps with SCM. Findings – The authors identify five key categories which are of high importance for the sustainable management of supply chains: orientation toward SCM and sustainability, continuity, collaboration, risk management and proactivity. In a second step, the authors describe distinctive practices which allow organizations to follow the goals formulated in the five key categories. Finally, they highlight issues preventing companies that follow a rather “conventional” approach to SCM to reach the level where it can be called SSCM, i.e. how to reach sustainability performance in SCM. Research limitations/implications – The work presented is conceptual in nature. It would be required to operationalize respective categories and, therefore, test them in empirical research. Practical implications – The categories and practices identified within the framework can be used for guiding managers toward the implementation of SSCM. This is the case when management takes performance implication into account without solely considering rather simplistic indicators. At the same time, differentiating a company based on the implementation of sustainability practices has become more difficult, due to the proliferation of sustainability in a wider field. Social implications – Social aspects are integrated into the framework on the same level as environmental and economic aspects, emphasizing the triple bottom line orientation. Originality/value – While all practices applied in SSCM have originally been identified and described by researchers for the case of “conventional” SCM, their particular interrelation and joint implementation makes up SSCM and ensures a contribution to sustainability performance.

The impact of organizational culture on supply chain integration: a contingency and configuration approach

2015 ◽  
Vol 20 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Zhi Cao ◽  
Baofeng Huo ◽  
Yuan Li ◽  
Xiande Zhao
Keyword(s):  
Organizational Culture ◽  
Supply Chain ◽  
Synergistic Effects ◽  
Supply Chain Integration ◽  
Three Dimensions ◽  
Theoretical Terms ◽  
Content Type ◽  
Supplier Integration ◽  
The Impact ◽  
The Relationship

Purpose – This study aims to bridge the gap in understanding the effects of organizational culture on supply chain integration (SCI) by examining the relationships between organizational cultures and SCI. The extant studies investigating the antecedents of SCI focus mainly on environments, interfirm relationships and other firm-level factors. These studies generally overlook the role of organizational culture. The few studies that do examine the effects of organizational culture on SCI show inconsistent findings. Design/methodology/approach – By placing organizational culture within the competing value framework (CVF), this study establishes a conceptual model for the relationships between organizational culture and SCI. The study uses both a contingency approach and a configuration approach to examine these proposed relationships using data collected from 317 manufacturers across ten countries. Findings – The contingency results indicate that both development and group culture are positively related to all three dimensions of SCI. However, rational culture is positively related only to internal integration, and hierarchical culture is negatively related to both internal and customer integration. The configuration approach identifies four profiles of organizational culture: the Hierarchical, Flexible, Flatness and Across-the-Board profiles. The Flatness profile shows the highest levels of development, group and rational cultures and the lowest level of hierarchical culture. The Flatness profile also achieves the highest levels of internal, customer and supplier integration. Research limitations/implications – This study is subject to several limitations. In theoretical terms, this study does not resolve all of the inconsistencies in the relationship between organizational culture and SCI. In terms of methodology, this study uses cross-sectional data from high-performance manufacturers. Such data cannot provide strong causal explanations, but only broad and general findings. Practical implications – This study reminds managers to consider organizational culture when they implement SCI. The study also provides clues to help managers in assessing and adjusting organizational culture as necessary for SCI. Originality/value – This study makes two theoretical contributions. First, by examining the relationships between organizational culture and SCI in a new context, the findings of the study provide additional evidence to reconcile the previously inconsistent findings on this subject. Second, by departing from the previous practice of investigating only particular dimensions of organizational culture, this study adopts a combined contingency and configuration approach to address both the individual and synergistic effects of all dimensions of organizational culture. This more comprehensive approach deepens our understanding of the relationship between organizational culture and SCI.

Social capital, information sharing and performance

2014 ◽  
Vol 34 (11) ◽  
pp. 1440-1462 ◽  
Author(s):  
Yina Li ◽  
Fei Ye ◽  
Chwen Sheu
Keyword(s):  
Social Capital ◽  
Supply Chain ◽  
Information Sharing ◽  
Social Relations ◽  
Shared Vision ◽  
Reciprocal Relationship ◽  
Three Dimensions ◽  
Relational Capital ◽  
Content Type ◽  
And Performance

Purpose – The purpose of this paper is to examine the effects of social resources on promoting information sharing practice and, thereby, improving firm performance. In particular, the authors are interested in addressing the following research questions. First, can the development of social capital (expressed in three dimensions: cognitive capital, structural capital, and relational capital) promote the content and quality of supply chain information sharing? Second, what are the relationships among the three social capital dimensions in the context of information sharing? Third, what are the effects of shared information (content and quality) on firm performance? Design/methodology/approach – A theoretical model and several research hypotheses, well-grounded in the western literature, are developed. Data from 272 manufacturers in China were collected to test the model and the hypotheses. Structural equation modeling was used for statistical analysis. Findings – The statistical results reveal that each social capital dimension has different effects on information sharing and performance. Namely, relational capital and cognitive capital have significant positive influences on information sharing. Structural capital has no direct positive impact on information sharing, but it displays indirect affects through the other two social capital dimensions. Furthermore, both the content and quality of the shared information improve manufacturing efficiency and responsiveness performance. Finally, the paper also recognizes possible reciprocal causality between relational capital and cognitive capital. Research limitations/implications – First, considering the distinct role of social relations in China, future studies should examine the influence of social capital and the potential reciprocal relationship between trust and shared vision, using data from other countries. Second, data were collected solely from the Pearl River Delta, China. Studies based on samples drawn from other regions, such as the Yangtze River Delta, the Bohai Sea economic area, and southwest China, would provide a degree of geographic and economic diversity and extend the generalizability of the results. Practical implications – Despite the touting of the value of information sharing, many companies struggle with the practice. The findings help us understand the process by which social capital accumulates and contributes to information sharing. Namely, firms must first engage in social interactions with supply chain partners in order to develop a trusting relationship and a shared vision for information sharing. The managers must also be aware of the possible reciprocal relationship between trust and shared vision. Both the volume and content of information sharing are critical to the performance. Social implications – Manufacturers can use the concept of social capital to build relational rents for information sharing. Originality/value – Responding to the call from the literature, this study extends the discussion of antecedents and consequences of supply chain information sharing, with a focus on the influences of relational resources. The paper proves that social capital provides a valid theoretical base from which to examine the role of social relations in promoting supply chain information sharing. Previous supply chain research in social capital often limited its consideration of social capital to relational capital. Understanding the effects of all three dimensions of social capital and their inter-relationships would contribute to the process by which social capital accumulates and promotes information sharing. Additionally, a study with the Chinese data should validate the theoretical model developed based on western literature, and offer valuable insights to researchers and practitioners from both economic and cultural perspectives.

The impacts of intra-organizational structural elements on supply chain integration

2019 ◽  
Vol 119 (5) ◽  
pp. 1031-1045
Author(s):  
Yanming Zhang ◽  
Xiande Zhao ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Structural Elements ◽  
Content Type ◽  
Positive Effects ◽  
Supplier Integration ◽  
Human Goodness

PurposeFollowing resource-based view, the purpose of this paper is to investigate the effects of three intra-organizational structural elements on supply chain integration (SCI).Design/methodology/approachBased on data collected from ten countries, this study employs the structural equation modeling method to test the proposed model.FindingsThe results demonstrate that teamwork culture is positively related to three dimensions of SCI. Organizational commitment has positive effects on internal and customer integration (CI), whereas it has no significant effect on supplier integration (SI). Human goodness is only positively related to internal integration, but has no significant effect on SI or CI.Originality/valueThis study contributes to both structural elements literature and SCI enabler literature by operationalizing three human-related components of structural elements and empirically investigating relationships between intra-organizational structural elements and SCI.

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