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The purpose of this paper is to explore the perceptions of supply chain managers regarding the elements that make up cyber supply chain risk management (CSCRM) and the related level of alignment, to understand how organizations can deploy a CSCRM strategy that goes beyond the technical, internal functioning of single companies and moves beyond the dyad, to create a better alignment that can ultimately lead to improved cyber supply chain resilience.

An exploratory survey in the fast-moving consumer goods (FMCG) industry involving over 100 organizations in Italy was conducted. Results were analysed through one-way analysis of variance, to appraise the differences in the perceptions of the various actors of the FMCG supply chain (Manufacturers, Logistics Service Providers, Retailers).

While a certain degree of alignment of the perceptions across the FMCG supply chain exists, the study found that Logistics Service Providers can play a crucial role as orchestrators of the CSCRM process towards a more “supply chain-oriented” response to cyber threats and risk events. The research also highlights the necessity to see people as key elements for improving cyber resilience in the supply chain.

Through a vertical analysis of a supply chain, the study extends the existing theory on CSCRM, which contains isolated case studies. It also contributes to extending the current theory with the proposal of the paradigm of Logistics Service Providers as orchestrators of the CSCRM process. The study combines different classifications of CSCRM initiatives and embraces theories external to the supply chain literature.

Through the empirical analysis, this study helps practitioners in streamlining the design of cyber security strategies and actions that span across the supply chain for better alignment. This could mean more coordination of efforts and more targeted/accurate investments in CSCRM initiatives. The study invites practitioners to ponder the perceived relevance of the human factor as a source of risk and the perceived importance of countermeasures aimed at mitigating risk events stemming from that source.

By focusing on an entire supply chain, this is one of the first studies on CSCRM that goes beyond the dyad. Its originality also lies in its use of the investigations of perceptions along the supply chain as pillars for the alignment of CSCRM strategies and mitigation initiatives. This original perspective allows for discovering the role of Logistics Service Providers in driving the alignment of the efforts towards better outcomes of the CSCRM process.

: Sustainability in fast-moving consumer goods (FMCG) supply chains (SC) is receiving greater than ever attention due to the increasing awareness of sustainability challenges such as climate change and labor rights. A definite solution is to integrate sustainable supply chain management (SSCM) practices all through the upstream and downstream entities of SC. This study identified and compared the drivers for the implementation of SSCM practices in Indian FMCG sector.

A methodology based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL), a hybrid multiple-criteria decision making (MCDM) technique and sensitivity analysis was used to envisage the complex causal relationships among the identified SSCM drivers and to identify the critical ones.

The results showed that regulatory and legislative pressure, competition pressure and innovativeness dominantly drive the implementation of SSCM practices in the upstream and downstream SC of the FMCG sector.

The study examined levers of sustainability in FMCG supply chains in an emerging market with most of the extant research limited to automotive and electronic supply chains.

The successive waves of the Covid-19 SARS-II pandemic and the attendant lockdown imposed by the governments worldwide drove the economic activities to a halt. Offices and factories closed, production of goods and services declined and supply chains got severely disrupted. Many companies were embattled with the grim reality of shrinkage of aggregate demand, first due to supply shock and later due to loss of jobs and wages. Amidst all this, the handling and shipping of commodities became extremely complex. As the pandemic shifted consumer preference in favour of digital platforms, more and more fast-moving consumer goods (FMCG) companies were confronted with multiple strategies and choices of an appropriate distribution channel to ensure smooth delivery of raw materials and products. The present study aims to study this shift and its implications in the Indian context.

A mix-method approach, integrating quantitative and qualitative analysis, is employed to investigate the factors influencing the selection of distribution channels amongst general trade, modern trade, e-commerce and hyperlocal for FMCG companies in India. The first phase of the study uses exploratory factor analysis (EFA), followed by the application of analytical hierarchy process (AHP) approach in a fuzzy environment to realise the priority weights and ranking of the identified factors. Finally, sensitivity analysis is performed to confirm the robustness of the fuzzy analytical hierarchy process (FAHP) outcomes.

The study revealed that modern trade has emerged as the most favoured channel in the post-pandemic Indian economy. It has the potential to disrupt general trade. The study also revealed that the hyperlocal delivery model is not economically viable, and the partnership of FMCG companies with these applications is at best a short-term solution. However, it must be submitted that due to its sheer capability to ensure quick deliveries within a confined geographic area, hyperlocal delivery will gain momentum with the advancement of technology.

This study can be seen as the first attempt to investigate the issues related to the selection of the distribution channels in the FMCG sector of India using multi-criteria decision-making technique (MCDM).

The purpose of this paper is to describe an analytical model to assess the costs and benefits of radio frequency identification (RFId) applications in the fast moving consumer goods (FMCG) supply chain.

The paper is based on an in‐depth literature review and a classification of the main contributions regarding the assessment of RFId applications. The impact of RFId technology on supply chain processes has been modelled using an activity‐based approach. An extensive, six‐month discussion and refinement process with the logistics and supply chain managers of 30 FMCG companies is conducted to validate the model and to collect the required inputs.

Pallet‐ and case‐level taggings have been explored. The former scenario shows limited benefits, whereas the actual potential of RFId becomes clear in the latter. The profitability of these projects is significantly affected by the costs of RFId tags and by the characteristics of the base‐line supply chain in terms of efficiency, quality requirements and, of course, product features. The model provides a clear assessment of how and when a positive return on investment can be achieved, even with today's technology (in terms of costs and performances).

This is one of the first attempts to provide a comprehensive analysis of the costs and benefits of an RFId application, taking into account all the major factors involved. The model can be a valuable support to manufacturers and retailers in evaluating their investments.

This study responds to the calls from the literature on identifying interactions among the sustainable supply chain management (SSCM) drivers, which influence focal firms’ SSCM decisions. It also determines how the effect of SSCM drivers differs across the upstream and downstream supply chains (SCs) entities of fast-moving consumer goods (FMCGs) companies.

We employ a multi-method design encompassing three studies: study 1 (multiple-case study), study 2 (quantitative survey), and study 3 (multiple-criteria decision-making or MCDM modeling).

The results show that the external drivers such as customer pressure, competition, and supplier pressure and internal drivers such as top management commitment interact to influence the adoption of SSCM practices, and this interaction is diverse across upstream and downstream SC entities of the FMCG sector. The study provides empirical evidence of relationships among the SSCM drivers, which influence SSCM decisions.

Understanding these interactions will help managers derive strategies to manage the overall SSCM ecosystem and recognize the multiplier effects of upstream to downstream and vice versa.

This paper sets out to discuss the development of an e‐business strategy by a UK soft drinks company. It is based within the Fast Moving Consumer Goods (FMCG) sector (also known as Consumer Packaged Goods), which is characterised by powerful retailers, tier‐1 suppliers of industrial end‐products and ingredient/raw material producers further upstream. The paper aims to examine the tensions created at tier‐1 level relating to the adoption of e‐business solutions for B2B activities.

The paper draws on the literature to describe the technological options for achieving e‐commerce, focusing particularly on Electronic Data Interchange (EDI) and internet‐mediated e‐commerce. It then explores the current uptake of e‐commerce, and the drivers and barriers that relate to its adoption. The theoretical issues identified are explored empirically using data gathered from a case study of Princes Soft Drinks. A detailed survey of organisations within its supply base was conducted in order to inform the development of its future e‐business strategy.

The results of the survey indicate a lack of enthusiasm among Princes' supply chain members for the adoption of e‐commerce generally and for internet‐mediated e‐commerce solutions in particular.

The empirical survey is limited to the UK soft drinks sector and allows for the development of descriptive findings. These findings, discussed within the theoretical context of the paper, have potentially wider implications for the FMCG sector as a whole.

The work has significant implications for the development of Princes' e‐business strategy, and – by extrapolation – for other companies operating in similar commercial environments.

The paper reports original empirical research in the commercially important FMCG sector. Its value stems in part from the examination of the supply chain tensions created at tier‐1– between powerful e‐committed retailers and e‐reluctant industrial suppliers.

In 2003, Walmart issued a sensational RFId mandate for its top 100 suppliers, including a detailed deployment plan under compelling deadlines. After seven years, very little of that mandate has become a consolidated industry practice. This paper aims to try to offer a complete and thorough explanation of the reasons behind this fact, providing a sound strategic view of what is happening and could happen in the future.

The study is based on a twofold methodological approach: first, it relies on an in‐depth literature review covering the assessment of RFId applications in the fast moving consumer goods (FMCG) industry; second, it leverages on a five‐year research program carried out by the RFId Solution Center of Politecnico di Milano in cooperation with GS1 Italy, which provided both quantitative data (used to develop and feed an analytical profitability assessment model) and qualitative knowledge to understand the “soft” implications of RFId adoption in the industry.

Despite the great potential of RFId technology, there are still some significant barriers preventing its diffusion. Case‐level tagging is required to enable a substantial redesign of the supply chain, but profit‐sharing and reading reliability should be carefully considered to ensure economic and technological feasibility. The comparison with the fashion industry evidences some key success factors of RFId; while some of them are industry‐specific, others can be replicated in the FMCG as well, but further efforts are still needed.

This is one of the first attempts to provide a comprehensive analysis of RFId potential in the FMCG supply chain, taking into account all the major factors involved. Moreover, the quantitative results illustrated in the paper could be a valuable support to companies in defining their RFId strategies.

Blockchain has been considered a disrupting technology that can add value in various supply chains differently. The provenance framework matches the four blockchain capabilities of traceability, certifiability, trackability and verifiability to the five generic risks, namely, the financial risk, psychological risk, social risk, physical risk and performance risk. This will help in uncording which specific risk gets mitigated by the use of blockchain in a specific supply chain.

This study illustrates four supply chains, namely, pharmaceutical industry, fast moving consumer goods industry, precious metal and automotive industry, and maps the risks associated with them to the provenance framework wherein the applicability of blockchain is mapped. Fuzzy analytical hierarchical processing (F-AHP) is used to rank the risks in the supply chain.

Blockchain capabilities can elevate the provenance knowledge leading to assurance in terms of origin, authenticity, custody and integrity to mitigate the supply chain risks. Present work highlights the thrust areas across various supply chains and identifies the risk priority tasks aligning the contextual supply chain risks. This study has covered five major risk perceptions. This study contributes to the literature on blockchain, customer perceived risk, provenance and supply chain.

This methodology can be adopted to understand and market the application of blockchain in a supply chain. It brings the marketers and marketing perspective to the supply chain. Exhaustive risk perception can be included to get more comprehensive data on mapping the risks along different supply chains. Vertical extensions of this work can be consideration of other supply chains including dairy, fruits and vegetables, electronics and component assemblies to derive the comprehensive framework for mapping risk perceptions and thereby supply chain risk mitigation through blockchain technology.

This linkage between blockchain, perceived risk, applications in the supply chain and a tool to convince the customers about the blockchain applicability has not been discussed in the literature. Adopting the multi-criteria decision-making F-AHP approach, this study attempt to rank the risks and stimulate conversations around a common framework for multiple sectors.

The aim of this paper is to expand the knowledge of buyer‐supplier relationships by investigating the extent to which organisational cultural fit between a buyer and supply chain participants influences performance.

The study was conducted in a FMCG supply chain. A cultural dimensions questionnaire was used in a focal organisation (the buyer) and it identified best and poorest performing supply chain. The results were analysed using a series of ANOVA's within the respective supply chains. The findings were then triangulated via qualitative methods.

The findings demonstrate that complementarity rather than congruence between the supply chain partners achieved successful performance outcomes. Organisations in the high‐performing supply chain had significantly different cultural profiles, reporting significant statistical differences across all six cultural dimensions. Organisations in the low‐performing supply chain had almost identical profiles across all six cultural dimensions with significantly lower mean scores across each dimension.

The deconstruction of organisational culture into its constituent dimensions in a supply chain provides insights for academics. Propositions are presented which provide a platform for further studies. Future studies could develop these findings by using a larger sample, over a longer period of time, and adding mediating variables that impact supply chain outcomes.

Managers should pay attention to cultural evaluation within the supplier selection process as well as finance or strategic evaluations. A shared supply chain culture of norm‐based trust and openness may yield better outcomes and reduced conflict and uncertainty throughout the supply chain.

This is one of the first papers to deconstruct and measure organisational cultural fit empirically in a supply chain context.

The purpose of this research is to extend existing knowledge of supply chain agility by identifying the interrelationships among key elements of agility that may impact customer performance improvement when conditions of demand and supply vary from the core assumptions used to design supply chain networks.

The research employs the principles of middle range theorizing (Merton, 1968) to incorporate observations from field interviews and data collected from executives, managers, and analysts from six global manufacturing firms across a range of industries to form research propositions about the nature of relationships among cognitive agility dimensions, antecedent impediments to cognitive agility, and the relationships between cognitive and physical agility to improve performance that can later be subjected to deductive testing.

The supply chain designs used by the participating firms to deliver value for core products were not sufficiently agile to meet desired customer performance levels when certain supply or demand conditions varied significantly from the norm. In collaboration with partner firms, the findings suggest that improving cognitive abilities to see, think and act by deploying information-based tactical initiatives in planning, inventory positioning, and supplier lead time performance monitoring enable improved physical agility that enable a firm to respond to changes swiftly and flexibly in the demand and supply environment. Importantly, the findings also suggest that the dimensions of cognitive agility are correlated and are formative elements of the latent construct of cognitive agility, which is antecedent to physical agility.

These findings are limited in scope to the six companies that participated in this research. Future explorations should generalize to a broader population of firms and conditions. The results do provide evidence of the relationships between the dimensions of agility that are both a contribution and should guide future research on the subject.

From a managerial standpoint, the research findings provide insight into how firms might manage agility to improve performance when demand and supply conditions vary from those for which the core supply chain was originally designed. The findings suggest that improving the ability to capture, process, and disseminate information, i.e. cognitive agility dimensions of alertness, accessibility, and decisiveness, facilitates improved information-based initiatives in planning, inventory positioning, and supplier lead time performance monitoring, which in turn enables improved physical initiatives to swiftly and flexibly respond to changes in the demand and supply environment. Such improvements ultimately result in heightened customer service and inventory performance.

Previous research is mute regarding the interrelationships among the identified dimensions of supply chain agility, specifically those considered to be “cognitive” elements and those that involve physical actions. The finding suggesting that the dimensions of cognitive agility are correlated and are formative elements of the latent construct of cognitive agility provides an important theoretical insight that contributes to enhanced understanding of the nature of supply chain agility to foster future quantitative explorations to better understand the phenomena.