An Investigation of the Environmental Turbulence Factors and their Sources in the Collaboration - Post-harvest Food Loss Relationship

Recent studies suggested that collaboration among upstream agricultural supply chain (ASC) partners will impact and possibly reduce postharvest food loss (PHFL) levels; a possible direct relationship between collaboration and PHFL was indicated. There have been many changes in the ASC’s environment related to globalization, changing consumer attitudes and concerns, changing markets, increased competition, new technologies, commodity price fluctuations, food safety and quality standards and regulations, Common Agricultural Policy (CAP) reform in EU. The aforementioned changes cause turbulence in ASC’s environment and possibly impact both collaboration level among upstream partners and PHFL levels. The Greek ASC environment is characterized as being highly turbulent due to the changes in EU’s ASC environment. Contingency theory (CT) is utilized to conceptualize the different environmental turbulence factors in the Greek ASC. This research aims to identify the relevant environmental turbulence factors in the Greek ASC that might moderate the collaboration-PHFL relationship in the Greek ASC

Resource efficiency: creating a route to logistics and the circular economy

Resource productivity needs to increase by 30% toward 2030, delivering a purported increase in employment while delivering a net benefit to GDP of 1% (European Commission, 2014). The Europe 2020 strategy will necessitate changes in product and service delivery (lightweighting) and a requirement for systems to support the flows of materials at end of life for collection, separation and re-use. There is a demand for resource efficiency improvements across a range of industrial sectors and a need for whole supply chain cooperation to ensure maximum impact of the circular economy concept. However with current challenges over quality and quantity of products moving through reverse logistics networks (Niknejad & Petrovic, 2014), this will undoubtedly place a need on current infrastructure [logistics] to review working practices. Innovative solutions will be required by industry to deliver sustainable networks that support aligned flows of manufacturing processes delivering supply chain surplus (Zhong, 2009)

A Conceptual understanding of Criminality and Integrity Challenges in Food supply chains

Purpose: Business, consumers and governmental organisations are harbouring a growing need to gain an appreciation of behaviours connected to food criminality. In order to acquire a cross-functional understanding of these thematic areas [crime & fraud] the mapping of existing research is needed. Design/methodology/approach: This paper contributes to the process of knowledge understanding, by systematically reviewing literature to provide an analysis of the current body of business knowledge against the thematic criterion of ‘supply chain food crime’ and ‘supply chain food fraud’. The analysis derives themes from the literature and maps this across the 8 pillars underpinning the UK Government paper on food supply chain resilience. Findings: A distinct gap lies with the 8 pillars of food supply chain resilience, business interest into supply chain criminality and academic research into the field. There are noteworthy gaps when the literature is analysed to that of the UK Government report. Research limitations/implications: Limitations of the study was its focus on business only journals, which has identified that a plethora of literature resides in the science field (e.g. testing) which has not made its way thought to business text. Practical implications: Drawing inference between business research and the Government report, clear identification and tangible research areas can be immediately exploited to align cross-functional thinking. Social implications: The gap of consumer is not as yet addressed in this field, this research contributes originally to this gap and the need to address same for societal benefit. Originality/value: The paper concentrates on the metrics know to contribute to ‘food crime’ and ‘food fraud’ and deviating views of academic versus non-academic literature. In concluding the paper identifies thematic areas for further research, and presents a conceptual framework of food supply chain resilience

Exploring transactions between supply chain entities : a psychological study of buyer-supplier relationships

The research presented in this thesis has focussed on exploring buyer- supplier relationships from a human perspective. To date, researchers across the globe have studied buyer-supplier relationships and endeavoured to find means to try to make them better. This has led to many new relationship development programmes initiated by companies and new concepts introduced by academics for the betterment of buyersupplier relationships. The focus of academics has been in trying to study buyersupplier relationships from various factors, viz. power, opportunistic behaviour, unethical behaviour, partnerships, collaborations, etc. All these endeavours have focussed on using technology or business processes in order to streamline operations and create environments, which would foster partnerships or collaborations. One aspect not usually given prominence in these studies has been the presence of humans in the relationship as representatives of the transacting companies. Giving this more focus, the researcher feels that organisational culture plays a very strong role in the way organisations operate, and when two organisations transact with each other the individual culture is bound to play a role in the way the transaction is conducted. The individual culture of the organisation also depends upon the humans in the organisation. Since, the focus of the research was on exploring the buyer-supplier relationships from a human perspective, the research sought this perspective from people working in purchasing or sales functions in different companies. The information was collected by conducting "Phenomenological Interviews" with focus on "critical incidents" affecting the relationship. The information was analysed for themes which led to the need to study buyer-supplier relationships from two perspectives: 1) game-like behaviour, 2) discretion, humans have in the relationship. The presence of game-like behaviour and humans in the relationship led the researcher to study the concepts of "Transactional Analysis" and check for the feasibility to transfer the concepts from a therapeutic setting to buyer- supplier relationships. The research has been successful in exploring issues affecting buyer-supplier relationships. A methodology for aligning supply chains by taking into account human issues has been proposed. The methodology comprises a relationship framework that is used for studying buyer-supplier relationships on a macro- level based on the levels of satisfaction the entities have with each other. Since high levels of dissatisfaction lead to various change- inducing transactions or game-like behaviour between the entities, the framework identifies the status of the relationship, and can be used to gauge what's going to happen to it, once the transaction is over. The concepts of Transactional Analysis and the tools associated with it, viz. Drama Triangle analysis and structural modelling are useful in studying the dynamics of the transactions from the human perspective and also from a psychological perspective.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Supply chain risk management and artificial intelligence: state of the art and future research directions

Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part of a supply chain. SCRM strategies often depend on rapid and adaptive decision-making based on potentially large, multidimensional data sources. These characteristics make SCRM a suitable application area for artificial intelligence (AI) techniques. The aim of this paper is to provide a comprehensive review of supply chain literature that addresses problems relevant to SCRM using approaches that fall within the AI spectrum. To that end, an investigation is conducted on the various definitions and classifications of supply chain risk and related notions such as uncertainty. Then, a mapping study is performed to categorise existing literature according to the AI methodology used, ranging from mathematical programming to Machine Learning and Big Data Analytics, and the specific SCRM task they address (identification, assessment or response). Finally, a comprehensive analysis of each category is provided to identify missing aspects and unexplored areas and propose directions for future research at the confluence of SCRM and AI

Real-time big data processing for instantaneous marketing decisions: A problematization approach

The collection of big data from different sources such as the internet of things, social media and search engines has created significant opportunities for business-to-business (B2B) industrial marketing organizations to take an analytical view in developing programmatic marketing approaches for online display advertising. Cleansing, processing and analyzing of such large datasets create challenges for marketing organizations — particularly for real-time decision making and comparative implications. Importantly, there is limited research for such interplays. By utilizing a problematization approach, this paper contributes through the exploration of links between big data, programmatic marketing and real-time processing and relevant decision making for B2B industrial marketing organizations that depend on big data-driven marketing or big data-savvy managers. This exploration subsequently encompasses appropriate big data sources and effective batch and real-time processing linked with structured and unstructured datasets that influence relative processing techniques. Consequently, along with directions for future research, the paper develops interdisciplinary dialogues that overlay computer-engineering frameworks such as Apache Storm and Hadoop within B2B marketing viewpoints and their implications for contemporary marketing practices