The factors of consumer confidence recovery after scandals in food supply chain safety

2018 ◽  
Vol 30 (5) ◽  
pp. 1379-1400 ◽  
Author(s):  
Shuhui Wang ◽  
Paul Alexander
Keyword(s):  
Decision Making ◽  
Food Safety ◽  
Supply Chains ◽  
Large Scale ◽  
Deductive Reasoning ◽  
Consumer Confidence ◽  
Milk Formula ◽  
Extended Model ◽  
Content Type ◽  
Before And After

Purpose Viewing consumer confidence as a set of static factors has informed previous research and underpinned strategies used in recovering from food safety quality failures, but this approach has not delivered reliable and quick recovery from large-scale food safety scandals. The purpose of this paper is to examine extant models and the factors they are composed of, and suggest an extended model that has a better potential for consumer confidence. The paper focuses on food products where supply chains are visible, and use these features to group the findings. Design/methodology/approach In this study principal components and logit analyses are used to assess the role of 30 variables operating in a consumer confidence model constructed from several existing in the literature. This combined model considers emotional, cognitive, trust and sociodemographic factors. In total, 14 independent factors are identified. The authors examine the factors, and from these, the decision-making mechanisms before and after the Sanlu Infant Milk Formula (IMF) scandal of 2008. Findings The authors find that the factors considered by consumers are different for different IMF supply chains, and different again before and after the scandal. The authors develop the argument for an extension to the existing models, incorporating a dynamic consumer confidence system. Research limitations/implications The paper uses a single survey after the focus event to establish “before” and “after” decision-making factors. Since the IMF scandal is recent and of very high profile, this is likely valid even if it carries memory bias effects. The study is directly applicable to food safety scandals in a Chinese context. Deductive reasoning extends our assertions to a wider context. They are logically validated but have not been formally tested. Practical implications Using this system as a framework a checklist for recovery from a similar food safety scandal is suggested. The authors also suggest more general use for use where supply chains features are visible to consumers. Originality/value Models for food safety consumer confidence recovery have previously focused on identifying models and the static factors they consist of. These do represent a reflection of how this phenomenon operates, but using the principals of this model nevertheless does not result in good recovery from extreme food safety failures. This paper contributes by extending these models to one that can be applied for better recovery.

Biden backing spurs US offshore wind development

2021 ◽  
Keyword(s):  
Supply Chains ◽  
Large Scale ◽  
Wind Farms ◽  
Offshore Wind ◽  
Employment Opportunities ◽  
Content Type ◽  
Generation Capacity ◽  
New Generation ◽  
Electricity Systems

Significance Two large-scale wind farms have now received federal approval and Washington is bolstering its permitting capacity in response to a pipeline of projects now totalling more than 35 gigawatts. The emergence of offshore wind means renewables are likely to extend their already impressive domination of new generation capacity additions. Impacts System flexibility requirements will grow as a higher proportion of generation comes from variable sources. The growth of offshore wind supply chains should support substantial employment opportunities, both direct and indirect. As in Europe, US electricity systems are likely to face new grid investment and congestion challenges related to offshore wind.

Key performance indicators for a sustainable recovery strategy in health-care supply chains: COVID-19 pandemic perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Towfique Rahman ◽  
Md. Abdul Moktadir ◽  
Sanjoy Kumar Paul
Keyword(s):  
Health Care ◽  
Supply Chains ◽  
Performance Indicators ◽  
Large Scale ◽  
Production Capacity ◽  
Key Performance Indicators ◽  
Recovery Strategy ◽  
Content Type ◽  
Global Pandemic ◽  
Sustainable Recovery

Purpose Supply chains’ (SCs’) sustainability practices and recovery strategies are attaining popularity in academia and industries to improve the resilience of the SCs and to manage large-scale disruptions. The global pandemic caused by the COVID-19 has raised the question of the sustainability of essential health-care products’ SCs of Bangladesh. It is an essential avenue for making the life of people safe and secure. Despite its importance, most of the health-care SCs in Bangladesh are struggling to meet the demand of its nation due to capacity shortage, technological backwardness of the manufacturers, delivery capacity shortages and less advanced forecasting capabilities. Therefore, this study aims to investigate the key performance indicators (KPIs) of a sustainable recovery strategy in the context of health-care SCs considering the COVID-19 pandemic. Design/methodology/approach This study used a dynamic method named graph theory and matrix approach to evaluate the most critical KPIs of a sustainable recovery strategy in the context of Bangladeshi health-care SCs. Findings The result revealed that dynamic forecasting and planning with a smooth delivery and distribution support system, production capacity diversification and having alternative or multiple suppliers during extraordinary disruptions may aid in the sustainability of the health-care SCs in Bangladesh. Originality/value This study is unique as no previous study has identified and examined the sustainable recovery strategy perspective KPIs considering the COVID-19 pandemic in the context of Bangladeshi health-care SCs. This study will also add value by guiding decision-makers of the health-care SCs of Bangladesh to adopt strategies toward the sustainability of SCs.

A new EDAS method based on prospect theory for Pythagorean fuzzy set and its application in selecting investment projects for highway

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peng Li ◽  
Ju Liu ◽  
Cuiping Wei ◽  
Jian Liu
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Bounded Rationality ◽  
Large Scale ◽  
Score Function ◽  
Critical Factor ◽  
High Grade ◽  
Content Type ◽  
Investment Projects ◽  
Criteria Weights

PurposeChina is a critical factor for constructing an all-round well-off society. Infrastructure construction, especially high-grade highways, in the western area is an essential component of the strategy for large-scale development of west China. It is crucial to evaluate investment projects for high-grade highways and select the best one. Testing investment projects and selecting the best one can be recognized as a multicriteria decision-making (MCDM) problem. In this process, decision-makers (DMs) usually face with uncertain information because of complicated decision environment or their limited knowledge.Design/methodology/approachA new Evaluation based on the Distance from Average Solution (EDAS) for PFS based on the DEMATEL is proposed: The authors offer a new score function and prove some properties for the score function. They put forward a novel Decision-making Trial and Evaluation Laboratory (DEMATEL) method for PFS to analyze the relations of criteria and get criteria weights. Considering the bounded rationality of DM, the authors propose a new EDAS method for PFS based on prospect theory. They apply their proposed approach to a western city's actual case in selecting a suitable project for building a high-grade highway.FindingsBy comparison, the authors can observe that our method has some traits: (1) considering bounded rationality of DM; (2) fewer computation; (3) having the ability to obtain the relation of criteria and finding the critical factor in the decision system.Originality/valueIn this paper, the authors propose a new EDAS method for PFS based on the DEMATEL technique. They transform PFS into crisp numbers by their proposed new score function for PFN to make the decision process more convenient. Then, the authors use the DEMATEL method to obtain the relationship between criteria and criteria weights. Furthermore, they propose a new EDAS method for PFS based on DEMATEL to reduce the computational complexity. Finally, they apply our method to a real case and compare our method with two traditional methods.

scholarly journals A novel simulation framework for crowd co-decisions

2020 ◽  
Vol 4 (1) ◽  
pp. 2-16
Author(s):  
Xia Yao ◽  
Hongbo Sun ◽  
Baode Fan
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Rapid Development ◽  
Content Type ◽  
Voting Rule ◽  
The Social ◽  
Crowd Intelligence ◽  
Large Scale Simulations ◽  
Public Decision ◽  
Public Decision Making

Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.

A case-based reasoning system for fault detection and isolation: a case study on complex gearboxes

2019 ◽  
Vol 25 (2) ◽  
pp. 213-235 ◽  
Author(s):  
Soumava Boral ◽  
Sanjay Kumar Chaturvedi ◽  
V.N.A. Naikan
Keyword(s):  
Decision Making ◽  
Fault Detection ◽  
Large Scale ◽  
Fault Detection And Isolation ◽  
Decision Making Process ◽  
Case Based Reasoning ◽  
Content Type ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Case Based

Purpose Usually, the machinery in process plants is exposed to harsh and uncontrolled environmental conditions. Even after taking different types of preventive measures to detect and isolate the faults at the earliest possible opportunity becomes a complex decision-making process that often requires experts’ opinions and judicious decisions. The purpose of this paper is to propose a framework to detect, isolate and to suggest appropriate maintenance tasks for large-scale complex machinery (i.e. gearboxes of steel processing plant) in a simplified and structured manner by utilizing the prior fault histories available with the organization in conjunction with case-based reasoning (CBR) approach. It is also demonstrated that the proposed framework can easily be implemented by using today’s graphical user interface enabled tools such as Microsoft Visual Basic and similar. Design/methodology/approach CBR, an amalgamated domain of artificial intelligence and human cognitive process, has been applied to carry out the task of fault detection and isolation (FDI). Findings The equipment failure history and actions taken along with the pertinent health indicators are sufficient to detect and isolate the existing fault(s) and to suggest proper maintenance actions to minimize associated losses. The complex decision-making process of maintaining such equipment can exploit the principle of CBR and overcome the limitations of the techniques such as artificial neural networks and expert systems. The proposed CBR-based framework is able to provide inference with minimum or even with some missing information to take appropriate actions. This proposed framework would alleviate from the frequent requirement of expert’s interventions and in-depth knowledge of various analysis techniques expected to be known to process engineers. Originality/value The CBR approach has demonstrated its usefulness in many areas of practical applications. The authors perceive its application potentiality to FDI with suggested maintenance actions to alleviate an end-user from the frequent requirement of an expert for diagnosis or inference. The proposed framework can serve as a useful tool/aid to the process engineers to detect and isolate the fault of large-scale complex machinery with suggested actions in a simplified way.

Branding for non-profits: explaining new donor decision-making in the charity sector

2019 ◽  
Vol 29 (5) ◽  
pp. 583-600
Author(s):  
Gary Gregory ◽  
Liem Ngo ◽  
Ryan Miller
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Brand Choice ◽  
International Aid ◽  
Brand Attitude ◽  
Mediating Effect ◽  
Communication Strategy ◽  
Dual Process ◽  
Content Type ◽  
New Donors

Purpose The purpose of this study develops and validates a model of new donor decision-making in the charity sector. Drawing upon dual process theory, the model incorporates brand salience and brand attitude as antecedents of brand choice intention, moderated by donor decision involvement. Design/methodology/approach Study 1 generates measures using interviews with marketing, media and research managers, and new donors from two international aid and relief organizations. Study 2 uses an experimental design to first test scenarios of disaster relief, and then validate and confirm a new donor decision model using large-scale consumer panels for the international aid and relief sector in Australia. Findings The results replicated across four leading international aid-related charities reveal that brand salience is positively related to brand choice intention through the mediating effect of brand attitude. Furthermore, the effect of brand salience on brand choice intention is significantly stronger when donor decision involvement is low. Conversely, the effect of brand attitude on brand choice intention is stronger for higher levels of donor decision involvement. Practical implications Managers should understand the importance of brand salience/attitudes and the implications for the communication strategy. Managers should also strive to understand the level of decision involvement and the relative influence of brand attitude/salience on brand choice intention. Originality/value This study advances the literature on charitable giving by proposing and testing a moderated mediation model of donor choice when selecting a charity for donation. Findings provide new insights into the extent to which brand salience, brand attitude and donor decision-making influence how new donors choose between charities for donation.

Employees’ knowledge, attitude and practice of food additives; impacts of an educational intervention

2020 ◽  
Vol 50 (6) ◽  
pp. 1199-1212
Author(s):  
Amir Reza Moravejolahkami ◽  
Zahra Esfandiari ◽  
Hadiseh Ebdali ◽  
Marjan Ganjali Dashti ◽  
Akbar Hassanzadeh ◽  
...  
Keyword(s):  
Food Safety ◽  
Food Additives ◽  
Content Type ◽  
Safety Issues ◽  
Attitude And Practice ◽  
Significant Difference ◽  
Before And After ◽  
Knowledge And Attitude ◽  
Safety Attitude ◽  
Knowledge Attitude And Practice

Purpose Understanding consumers’ food safety practices are helpful in reducing foodborne illnesses. The purpose of this study is to evaluate the influence of education on knowledge, attitude and practices toward food additives. Design/methodology/approach This interventional study was performed by random sampling of 826 employees in Isfahan University of Medical Sciences from January 2018 to March 2019. The knowledge, attitude and practices of the employees toward food additives were assessed by a self-administered and structured questionnaire. Two-month education was conducted visually by using pamphlets, posters and leaflets. Descriptive statistics and paired t-test were done by SPSS24 at significant levels of p < 0.05. Findings The results showed that the respondents were very concerned about preservatives, colorants, and artificial sweeteners in foods. Before the education, the percentages collected for the knowledge, attitude and practice were 79.0, 48.9 and 46.7, respectively. Overall, knowledge scores were improved from 79.0 to 88.9 per cent when the education was offered. Safety attitude scores significantly increased, with a 50 per cent difference between the pre and post values. A significant difference was observed in the percentage of knowledge, attitude and practice of the employers before and after education (p < 0.05). Almost half of the respondents chose leaflets and pamphlets as a preferable tool for learning. Originality/value Education may be needed for improving knowledge and attitude about food additives. It also helped the respondents to select healthier food. This study suggests more communication programs regarding food safety issues.

Environmental sustainability of logistics service provider: an ANP-QFD approach

2015 ◽  
Vol 26 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Jasmine Siu Lee Lam ◽  
Jing Dai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Environmental Sustainability ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainability Performance ◽  
Logistics Service

Purpose – The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their environmental sustainability performance in the context of green supply chain management. Design/methodology/approach – An integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD) is proposed to develop LSPs’ environmental sustainability performance. In the approach, QFD is used to translate customer requirements (CRs) for “green” concerns into multiple criteria for LSP’s design requirements (DRs). ANP is used to analyze the inter-relationships among the various CRs and DRs. Findings – The effectiveness of the proposed approach is demonstrated by applying it to a global LSP. A case study shows how the proposed “ANP-QFD” technique can be deployed to understand customers’ expectation for environment management and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ environmental sustainability performance. Practical implications – Firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to customers. Therefore, “ANP-QFD” is an integrative method which helps develop LSPs’ environmental sustainability performance by enabling logistics managers incorporate the “voice” of customers for environmental concerns into their decision-making process. The study demonstrates how to develop LSPs to be greener in order to realize the requirements of green supply chains. The proposed integrated approach can also be applied in other decision-making scenarios for effective green supply chain management. Originality/value – Various approaches that can deal with multiple and conflicting criteria have been adopted for LSP assessment in the literature. However, they fail to include the impact of business objectives and the requirements of company stakeholders (customer in this study) in the identification of performance criteria for LSP. They also did not incorporate the environmental sustainability perspective. This paper contributes to the emerging research topic of environmental sustainability in logistics and supply chains by tackling these inadequacies in the literature. The study facilitates LSPs and the supply chains they serve in achieving better economic and environmental performance, thus leading to truly sustainable outcomes.

The role of hierarchical production planning in food manufacturing SMEs

2015 ◽  
Vol 35 (10) ◽  
pp. 1362-1385 ◽  
Author(s):  
Seamus O'Reilly ◽  
Anita Kumar ◽  
Frédéric Adam
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Large Scale ◽  
Product Variety ◽  
Food Manufacturing ◽  
Content Type ◽  
Hierarchical Production Planning ◽  
Trade Offs ◽  
Internal Integration

Purpose – In recent years there has been an increasing interest in make-to-stock and make-to-order combined strategies in food manufacturing operations. However, most scholarly work to-date has neglected the role of hierarchical production planning (HPP) in guiding small- and medium-sized enterprise (SME) implementation of such strategies. The purpose of this paper is to address food SME manufacturers’ readiness to adopt such strategies, in terms of internal integration and their capability to adopt formalised planning approaches. Design/methodology/approach – This study adopted an action research methodology to explore the potential impact of HPP in SME food manufacturers. Selected companies had identified product variety management as a challenge and also had recognised the need to enhance internal integration. Given this, the research team, from a theoretical perspective, proposed the use of HPP set within a broader decision-making conceptual framework to improve internal integration and planning. Findings – This paper adopts the fundamental position that HPP provides a useful framework in the establishment of strategic and tactical level constraints and priorities which then act as specific guides at the operational level, and presents empirical evidence in a food SME manufacturing context. In the cases the authors studies, the cascading effect of this decision-making framework focused attention on key metrics, encouraged greater internal integration and delivered tangible, significant improvements in performance. This was greatly facilitated by the provision of new key data on the cost of certain managerial trade-offs which these firms faced. Originality/value – SMEs are of a scale that requires a formalised planning approach; however production planning systems are typically designed for large scale enterprises. This paper addresses the need of SMEs in this regard. Well-established supply chain metrics were used to establish the benefits of both HPP and resulting improvement in internal integration and beyond, in terms of improvement in the quality of planning decisions.

scholarly journals Calculative measures of organising and decision-making in developing countries: the case of a quasi-formal organisation in Ghana

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jacob Agyemang ◽  
Kelum Jayasinghe ◽  
Pawan Adhikari ◽  
Abongeh Tunyi ◽  
Simon Carmel
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Social Practices ◽  
Sub Saharan Africa ◽  
Structured Interviews ◽  
Content Type ◽  
Documentary Analysis ◽  
Sub Saharan ◽  
Traditional Setting

PurposeThis paper examines how a “quasi-formal” organisation in a developing country engages in informal means of organising and decision-making through the use of calculative measures.Design/methodology/approachThe paper presents a case study of a large-scale indigenous manufacturing company in Ghana. Data for the study were collected through the use of semi-structured interviews conducted both onsite and off-site, supplemented by informal conversations and documentary analysis. Weber's notions of rationalities and traditionalism informed the analysis.FindingsThe paper advances knowledge about the practical day-to-day organisation of resources and the associated substantive rational calculative measures used for decision-making in quasi-formal organisations operating in a traditional setting. Instead of formal rational organisational mechanisms such as hierarchical organisational structures, production planning, labour controls and budgetary practices, the organisational mechanisms are found to be shaped by institutional and structural conditions which result from historical, sociocultural and traditional practices of Ghanaian society. These contextual substantive rational calculative measures consist of the native lineage system of inheritance, chieftaincy, trust and the power concealed within historically established sociocultural practices.Originality/valueThis paper is one of a few studies providing evidence of how local and traditional social practices contribute to shaping organising and decision-making activities in indigenous “quasi-formal” organisations. The paper extends our understanding of the nexus between “technical rational” calculative measures and the traditional culture and social practices prevailing in sub-Saharan Africa in general, and Ghana in particular.

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