Pub Date : 2021-07-13DOI: 10.1108/IJPDLM-10-2020-0334
Emmelie Gustafsson, P. Jonsson, J. Holmström
PurposeThis paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.Design/methodology/approachThe paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.FindingsThe cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.Research limitations/implicationsVirtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.Originality/valueThe paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.
{"title":"Reducing retail supply chain costs of product returns using digital product fitting","authors":"Emmelie Gustafsson, P. Jonsson, J. Holmström","doi":"10.1108/IJPDLM-10-2020-0334","DOIUrl":"https://doi.org/10.1108/IJPDLM-10-2020-0334","url":null,"abstract":"PurposeThis paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.Design/methodology/approachThe paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.FindingsThe cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.Research limitations/implicationsVirtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.Originality/valueThe paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62000314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-25DOI: 10.1108/ijpdlm-11-2020-0381
C. F. Durach, J. Kembro, Andreas Wieland
PurposeThe discipline's most common uses for literature reviews—identifying gaps, developing research agendas, and categorizing the literature—too often fail to challenge, change or advance theoretical perspectives. The authors offer guidance to theorization through literature reviews. The key to theory advancement is consistency between the state of theory and the chosen review type.Design/methodology/approachA conceptual approach is taken. The authors identify shortcomings in literature reviews of logistics and supply chain management (L&SCM) research and develop a framework to aid theorization from literature.FindingsLiterature review types are categorized as inductive theory building, contextualized explanations, theory testing and interpretive sensemaking. The authors argue that the effectiveness of a review type depends on the prior state of theory, which ranges from nascent, to intermediate, to mature. The authors propose the interpretive sensemaking review as a novel review type rooted in the interpretive paradigm.Practical implicationsThis study should be of immediate interest and value to logistics and supply chain management scholars—as well as scholars in other fields—because it offers a pathway to theory development through literature reviews. Appropriate applications of the proposed review types will result in more comprehensive theories.Originality/valueThis article lays down arguments for the need to change the way L&SCM scholars use literature reviews. It extends earlier work from the authors (Durach et al., 2017; A New Paradigm for Systematic Literature Reviews in Supply Chain Management, Journal of Supply Chain Management) by outlining four review types, and offering further insights to theorization, as is typically the goal in the synthesis step of literature reviews.
{"title":"How to advance theory through literature reviews in logistics and supply chain management","authors":"C. F. Durach, J. Kembro, Andreas Wieland","doi":"10.1108/ijpdlm-11-2020-0381","DOIUrl":"https://doi.org/10.1108/ijpdlm-11-2020-0381","url":null,"abstract":"PurposeThe discipline's most common uses for literature reviews—identifying gaps, developing research agendas, and categorizing the literature—too often fail to challenge, change or advance theoretical perspectives. The authors offer guidance to theorization through literature reviews. The key to theory advancement is consistency between the state of theory and the chosen review type.Design/methodology/approachA conceptual approach is taken. The authors identify shortcomings in literature reviews of logistics and supply chain management (L&SCM) research and develop a framework to aid theorization from literature.FindingsLiterature review types are categorized as inductive theory building, contextualized explanations, theory testing and interpretive sensemaking. The authors argue that the effectiveness of a review type depends on the prior state of theory, which ranges from nascent, to intermediate, to mature. The authors propose the interpretive sensemaking review as a novel review type rooted in the interpretive paradigm.Practical implicationsThis study should be of immediate interest and value to logistics and supply chain management scholars—as well as scholars in other fields—because it offers a pathway to theory development through literature reviews. Appropriate applications of the proposed review types will result in more comprehensive theories.Originality/valueThis article lays down arguments for the need to change the way L&SCM scholars use literature reviews. It extends earlier work from the authors (Durach et al., 2017; A New Paradigm for Systematic Literature Reviews in Supply Chain Management, Journal of Supply Chain Management) by outlining four review types, and offering further insights to theorization, as is typically the goal in the synthesis step of literature reviews.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43609025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-25DOI: 10.1108/ijpdlm-02-2020-0049
Gustavo Bagni, J. K. Sagawa, Moacir Godinho Filho
PurposeThis paper aims to detail how a Sales and Operations Planning (S&OP) process can be designed to support the planning requirements of recently introduced products.Design/methodology/approachDesign science research was conducted to propose and implement an S&OP model for demand fulfillment after the introduction of new products. The results were analyzed using the CIMO (Context, Intervention, Mechanisms and Outcomes) logic, and two sets of design propositions were formulated.FindingsAn S&OP process for new products can reduce additional costs for market fulfillment by concentrating the planning efforts on new products, aligning organizational efforts, and increasing the sales and supply chain information’s update frequency.Research limitations/implicationsThe outcomes of S&OP new products were analyzed in a single organization and are limited to the contextual factors presented.Practical implicationsThis paper describes in detail how to organize an S&OP focused on new products. By considering the contextual factors and design propositions, managers can potentially increase the success of new products introduction (NPI) in their context.Originality/valueA specific S&OP process focused on new products is a viable solution and could co-exist with a traditional S&OP process. Moreover, we identified six contextual factors that influence the outcomes of the S&OP new products.
{"title":"Sales and operations planning for new products: a parallel process?","authors":"Gustavo Bagni, J. K. Sagawa, Moacir Godinho Filho","doi":"10.1108/ijpdlm-02-2020-0049","DOIUrl":"https://doi.org/10.1108/ijpdlm-02-2020-0049","url":null,"abstract":"PurposeThis paper aims to detail how a Sales and Operations Planning (S&OP) process can be designed to support the planning requirements of recently introduced products.Design/methodology/approachDesign science research was conducted to propose and implement an S&OP model for demand fulfillment after the introduction of new products. The results were analyzed using the CIMO (Context, Intervention, Mechanisms and Outcomes) logic, and two sets of design propositions were formulated.FindingsAn S&OP process for new products can reduce additional costs for market fulfillment by concentrating the planning efforts on new products, aligning organizational efforts, and increasing the sales and supply chain information’s update frequency.Research limitations/implicationsThe outcomes of S&OP new products were analyzed in a single organization and are limited to the contextual factors presented.Practical implicationsThis paper describes in detail how to organize an S&OP focused on new products. By considering the contextual factors and design propositions, managers can potentially increase the success of new products introduction (NPI) in their context.Originality/valueA specific S&OP process focused on new products is a viable solution and could co-exist with a traditional S&OP process. Moreover, we identified six contextual factors that influence the outcomes of the S&OP new products.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48631326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-22DOI: 10.1108/ijpdlm-09-2019-0277
A. Tsvetkova
PurposeThis study explores how human actions affect existing supply chain management (SCM) practice.Design/methodology/approachUsing a narrative approach, this qualitative in-depth case study looks at micro-human activities in SCM practices in the Russian Arctic. Data from personal observations, 13 semi-structured interviews and archival materials are interpreted through the concepts of institutional work and institutional logics.FindingsThe study reveals how human actions and institutions affect each other and change existing SCM practice constrained by institutional order and logics. The findings identify two forms of institutional work, initiated by the presence of conflicts of interest between practitioners engaged in different organisational routines, that become an essential driver for logic change. Social action, often invisible in practice, is indicated by finding compromises and informal arrangements that shape interactive activity among practitioners. The findings show that changes enacted by human actions in SCM practice have envisioned new forms of collaboration among supply chain members, thereby making supply chains in the Russian Arctic more integrated than before.Research limitations/implicationsThis study involves a limited number of supply chain practitioners, making it imperative to study larger samples, specifically from various empirical contexts.Originality/valueThis study suggests an alternative approach focusing on SCM practice as consistent patterns of human actions, to reflect on supply chain integration problems. It provides an understanding of how practitioners are influenced by and active in producing institutional change. An issue of practitioners' responsibility and morality regarding the consequences of their decisions when exerting change in existing SCM practice is further emphasised.
{"title":"Human actions in supply chain management: the interplay of institutional work and institutional logics in the Russian Arctic","authors":"A. Tsvetkova","doi":"10.1108/ijpdlm-09-2019-0277","DOIUrl":"https://doi.org/10.1108/ijpdlm-09-2019-0277","url":null,"abstract":"PurposeThis study explores how human actions affect existing supply chain management (SCM) practice.Design/methodology/approachUsing a narrative approach, this qualitative in-depth case study looks at micro-human activities in SCM practices in the Russian Arctic. Data from personal observations, 13 semi-structured interviews and archival materials are interpreted through the concepts of institutional work and institutional logics.FindingsThe study reveals how human actions and institutions affect each other and change existing SCM practice constrained by institutional order and logics. The findings identify two forms of institutional work, initiated by the presence of conflicts of interest between practitioners engaged in different organisational routines, that become an essential driver for logic change. Social action, often invisible in practice, is indicated by finding compromises and informal arrangements that shape interactive activity among practitioners. The findings show that changes enacted by human actions in SCM practice have envisioned new forms of collaboration among supply chain members, thereby making supply chains in the Russian Arctic more integrated than before.Research limitations/implicationsThis study involves a limited number of supply chain practitioners, making it imperative to study larger samples, specifically from various empirical contexts.Originality/valueThis study suggests an alternative approach focusing on SCM practice as consistent patterns of human actions, to reflect on supply chain integration problems. It provides an understanding of how practitioners are influenced by and active in producing institutional change. An issue of practitioners' responsibility and morality regarding the consequences of their decisions when exerting change in existing SCM practice is further emphasised.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48354572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-22DOI: 10.1108/ijpdlm-08-2020-0281
A. Butt
PurposeThe purpose of this paper is to explore the disruptions caused to supply chains by COIVD-19 as well as steps/countermeasures taken by firms to address such disruptions.Design/methodology/approachThis study employs 46 semi-structured interviews with senior managers of the three buying firms, four distribution centers and four supplying firms based in four countries (Pakistan, Sri Lanka, China and India).FindingsResults unveil that manufacturing firms are facing limited production and delays in procuring goods and services, while distribution centres are facing inventory shortages. Furthermore, supplying firms are facing increased lead times amid the COVID-19 outbreak. In addition, each affected entity has employed specific strategies to address these disruptions. For instance, manufacturing firms are refining their production schedules based on the inventory, getting better visibility to their suppliers’ performance and developing new inbound routes to meet the production challenges. They are also assessing the tier-1 supplier’s risk and activating the relationship with secondary suppliers to address the procurement issues. Second, distributors are modifying inventory policies to meet the inventory shortage. Finally, supplying firms are developing alternative outbound logistics to meet the growing demand.Research limitations/implicationsThere are some limitations to this study. First, the results of this study cannot be generalized to a wider population. Second, this study explores the interpretations of senior managers based in four Asian countries only.Originality/valueOur study contributes to the supply chain literature by exploring the disruptions caused by COVID-19 to the supply chain operations. It also contributes to theory and practice by articulating the strategies adopted by firms to address such disruptions. Firms can use the steps highlighted in this study to mitigate the impact of COVID-19 on the supply chain disruptions.
{"title":"Understanding the implications of pandemic outbreaks on supply chains: an exploratory study of the effects caused by the COVID-19 across four South Asian countries and steps taken by firms to address the disruptions","authors":"A. Butt","doi":"10.1108/ijpdlm-08-2020-0281","DOIUrl":"https://doi.org/10.1108/ijpdlm-08-2020-0281","url":null,"abstract":"PurposeThe purpose of this paper is to explore the disruptions caused to supply chains by COIVD-19 as well as steps/countermeasures taken by firms to address such disruptions.Design/methodology/approachThis study employs 46 semi-structured interviews with senior managers of the three buying firms, four distribution centers and four supplying firms based in four countries (Pakistan, Sri Lanka, China and India).FindingsResults unveil that manufacturing firms are facing limited production and delays in procuring goods and services, while distribution centres are facing inventory shortages. Furthermore, supplying firms are facing increased lead times amid the COVID-19 outbreak. In addition, each affected entity has employed specific strategies to address these disruptions. For instance, manufacturing firms are refining their production schedules based on the inventory, getting better visibility to their suppliers’ performance and developing new inbound routes to meet the production challenges. They are also assessing the tier-1 supplier’s risk and activating the relationship with secondary suppliers to address the procurement issues. Second, distributors are modifying inventory policies to meet the inventory shortage. Finally, supplying firms are developing alternative outbound logistics to meet the growing demand.Research limitations/implicationsThere are some limitations to this study. First, the results of this study cannot be generalized to a wider population. Second, this study explores the interpretations of senior managers based in four Asian countries only.Originality/valueOur study contributes to the supply chain literature by exploring the disruptions caused by COVID-19 to the supply chain operations. It also contributes to theory and practice by articulating the strategies adopted by firms to address such disruptions. Firms can use the steps highlighted in this study to mitigate the impact of COVID-19 on the supply chain disruptions.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44041932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-18DOI: 10.1108/ijpdlm-12-2020-0434
S. Modgil, Shivam Gupta, Rébecca Stekelorum, Issam Laguir
PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.
{"title":"AI technologies and their impact on supply chain resilience during COVID-19","authors":"S. Modgil, Shivam Gupta, Rébecca Stekelorum, Issam Laguir","doi":"10.1108/ijpdlm-12-2020-0434","DOIUrl":"https://doi.org/10.1108/ijpdlm-12-2020-0434","url":null,"abstract":"PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46201847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-02DOI: 10.1108/IJPDLM-04-2020-0125
Christiaan de Goeij, L. Gelsomino, F. Caniato, A. Moretto, Michiel Steeman
PurposeReverse factoring (RF) is one of the most prevalent supply chain finance (SCF) solutions. This study challenges the view that suppliers accept financially attractive reverse factoring offers (RFOs) and reject financially unattractive ones. Specifically, it focuses on small and medium enterprise (SME) suppliers and how transaction cost economics (TCE) factors affect their decision.Design/methodology/approachThe authors study eight cases of RFOs, interviewing suppliers, buyers and financial service providers (FSPs) and using several sources of private and publicly available secondary data.FindingsIn five out of eight RFOs, suppliers either accepted unattractive offers or rejected attractive ones. Bounded rationality and opportunism seem to explain such misalignment, while asset specificity and frequency play a minor role in decisions.Research limitations/implicationsThe study shows the need for further investigation linking analytical assessment of SCF benefits with qualitative factors.Practical implicationsSME suppliers cannot assume an RFO will benefit them. They must critically evaluate their buyers' offers, ideally with self-awareness towards how the abovementioned factors might affect their decisions. For buyers and banks, this study gives clear insights on how to approach SME suppliers to avoid rejection of financially attractive RFOs.Originality/valueThis contribution analyses financial attractiveness of RFOs in conjunction with qualitative factors, including rejected RFOs and without assuming that RFOs are financially attractive for suppliers. This is original and relevant for both research and practice, since it extends the understanding of the supplier response to RFOs, thanks to the consideration of TCE factors.
{"title":"Understanding SME suppliers' response to supply chain finance: a transaction cost economics perspective","authors":"Christiaan de Goeij, L. Gelsomino, F. Caniato, A. Moretto, Michiel Steeman","doi":"10.1108/IJPDLM-04-2020-0125","DOIUrl":"https://doi.org/10.1108/IJPDLM-04-2020-0125","url":null,"abstract":"PurposeReverse factoring (RF) is one of the most prevalent supply chain finance (SCF) solutions. This study challenges the view that suppliers accept financially attractive reverse factoring offers (RFOs) and reject financially unattractive ones. Specifically, it focuses on small and medium enterprise (SME) suppliers and how transaction cost economics (TCE) factors affect their decision.Design/methodology/approachThe authors study eight cases of RFOs, interviewing suppliers, buyers and financial service providers (FSPs) and using several sources of private and publicly available secondary data.FindingsIn five out of eight RFOs, suppliers either accepted unattractive offers or rejected attractive ones. Bounded rationality and opportunism seem to explain such misalignment, while asset specificity and frequency play a minor role in decisions.Research limitations/implicationsThe study shows the need for further investigation linking analytical assessment of SCF benefits with qualitative factors.Practical implicationsSME suppliers cannot assume an RFO will benefit them. They must critically evaluate their buyers' offers, ideally with self-awareness towards how the abovementioned factors might affect their decisions. For buyers and banks, this study gives clear insights on how to approach SME suppliers to avoid rejection of financially attractive RFOs.Originality/valueThis contribution analyses financial attractiveness of RFOs in conjunction with qualitative factors, including rejected RFOs and without assuming that RFOs are financially attractive for suppliers. This is original and relevant for both research and practice, since it extends the understanding of the supplier response to RFOs, thanks to the consideration of TCE factors.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":" ","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49192483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-01DOI: 10.1108/IJPDLM-04-2020-0129
Jinou Xu, M. Pero, F. Ciccullo, A. Sianesi
PurposeThis paper aims to examine how the extant publication has related big data analytics (BDA) to supply chain planning (SCP). The paper presents a conceptual model based on the reviewed articles and the dominant research gaps and outlines the research directions for future advancement.Design/methodology/approachBased on a systematic literature review, this study analysed 72 journal articles and reported the descriptive and thematic analysis in assessing the established body of knowledge.FindingsThis study reveals the fact that literature on relating BDA to SCP has an ambiguous use of BDA-related terminologies and a siloed view on SCP processes that primarily focuses on the short-term. Looking at the big data sources, the objective of adopting BDA and changes to SCP, we identified three roles of big data and BDA for SCP: supportive facilitator, source of empowerment and game-changer. It bridges the conversation between BDA technology for SCP and its management issues in organisations and supply chains according to the technology-organisation-environmental framework.Research limitations/implicationsThis paper presents a comprehensive examination of existing literature on relating BDA to SCP. The resulted themes and research opportunities will help to advance the understanding of how BDA will reshape the future of SCP and how to manage BDA adoption towards a big data-driven SCP.Originality/valueThis study is unique in its discussion on how BDA will reshape SCP integrating the technical and managerial perspectives, which have not been discussed to date.
{"title":"On relating big data analytics to supply chain planning: towards a research agenda","authors":"Jinou Xu, M. Pero, F. Ciccullo, A. Sianesi","doi":"10.1108/IJPDLM-04-2020-0129","DOIUrl":"https://doi.org/10.1108/IJPDLM-04-2020-0129","url":null,"abstract":"PurposeThis paper aims to examine how the extant publication has related big data analytics (BDA) to supply chain planning (SCP). The paper presents a conceptual model based on the reviewed articles and the dominant research gaps and outlines the research directions for future advancement.Design/methodology/approachBased on a systematic literature review, this study analysed 72 journal articles and reported the descriptive and thematic analysis in assessing the established body of knowledge.FindingsThis study reveals the fact that literature on relating BDA to SCP has an ambiguous use of BDA-related terminologies and a siloed view on SCP processes that primarily focuses on the short-term. Looking at the big data sources, the objective of adopting BDA and changes to SCP, we identified three roles of big data and BDA for SCP: supportive facilitator, source of empowerment and game-changer. It bridges the conversation between BDA technology for SCP and its management issues in organisations and supply chains according to the technology-organisation-environmental framework.Research limitations/implicationsThis paper presents a comprehensive examination of existing literature on relating BDA to SCP. The resulted themes and research opportunities will help to advance the understanding of how BDA will reshape the future of SCP and how to manage BDA adoption towards a big data-driven SCP.Originality/valueThis study is unique in its discussion on how BDA will reshape SCP integrating the technical and managerial perspectives, which have not been discussed to date.","PeriodicalId":14251,"journal":{"name":"International Journal of Physical Distribution & Logistics Management","volume":"38 12","pages":""},"PeriodicalIF":6.7,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41306899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-31DOI: 10.1108/IJPDLM-06-2019-0199
Tobias Kreuter, C. Kalla, L. F. Scavarda, A. M. T. Thomé, B. Hellingrath
PurposeThis paper provides a five-step Enterprise Architecture Management (EAM) approach to systematically guide the development and implementation of contextualised Sales and Operations Planning (S&OP) designs.Design/methodology/approachA case study is conducted at a European chemical manufacturer. The research applies the five-step approach, embracing the descriptive and prescriptive EAM functions combined with the lens of contingency theory.FindingsThe research findings demonstrate the suitability of the proposed EAM approach for the contextualisation of S&OP designs from a contingency theory perspective. Its descriptive EAM function serves to assess context-specific S&OP challenges and enables to analyse the contextual fit of S&OP designs. Its prescriptive EAM function guides the development and implementation of context-specific S&OP designs towards increasing the S&OP effectiveness. EAM's integrated view onto people, process and information technology served to analyse current practices on the dynamics of S&OP contextualisation in innovation- and quality-driven contexts. Thereby, the paper contributes to a better S&OP contingency understanding.Practical implicationsThe EAM approach offered in this paper provides a concrete and practically applicable guidance to support managers to face their context-specific challenges and guide the contextualisation of their S&OP designs to increase the S&OP effectiveness. Moreover, practitioners can improve their understanding regarding the need for S&OP design adjustments to reflect changes in their companies' contingencies.Originality/valueThe research introduces a novel EAM approach for S&OP contextualisation, particularly reflecting contingency theory's dynamic view of structural adjustments to regain fit (SARFIT).
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