Achieving competitive advantage in a dynamic environment requires firms to exploit their current capabilities and explore new opportunities through innovation. Organizational learning theory refers to these two types of focused learning activities as exploitation and exploration, and jointly as ambidextrous learning. Suppliers can play an important role in the learning process. This research focuses on the role of strategic and operational information sharing between buyers and suppliers in promoting ambidextrous learning. Based on a survey of supply chain managers in U.S. manufacturing firms, the findings indicate that sharing operational information promotes exploitative performance, while sharing strategic information promotes exploratory performance. Both exploitative and exploratory performance improvements positively relate to the buyer’s financial performance, but these relationships are moderated by the buyer’s product innovation strategy. Exploratory performance is particularly important for firms pursuing a high innovation strategy to maximize financial performance.
{"title":"Ambidextrous Learning in Buyer-Supplier Relationships: The Role of Strategic and Operational Information Sharing","authors":"R. Atkins, Y. Yurova, A. Gudi, C. Ruppel","doi":"10.4018/ijisscm.290355","DOIUrl":"https://doi.org/10.4018/ijisscm.290355","url":null,"abstract":"Achieving competitive advantage in a dynamic environment requires firms to exploit their current capabilities and explore new opportunities through innovation. Organizational learning theory refers to these two types of focused learning activities as exploitation and exploration, and jointly as ambidextrous learning. Suppliers can play an important role in the learning process. This research focuses on the role of strategic and operational information sharing between buyers and suppliers in promoting ambidextrous learning. Based on a survey of supply chain managers in U.S. manufacturing firms, the findings indicate that sharing operational information promotes exploitative performance, while sharing strategic information promotes exploratory performance. Both exploitative and exploratory performance improvements positively relate to the buyer’s financial performance, but these relationships are moderated by the buyer’s product innovation strategy. Exploratory performance is particularly important for firms pursuing a high innovation strategy to maximize financial performance.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"81 1","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86898756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4018/IJISSCM.2022010102
A. Jindal, S. Sharma, S. Routroy
Today’s global and complex world increases the vulnerability to risks exponentially, and organizations are compelled to develop effective risk management strategies for mitigation. The prime focus of the research is to design a supply risk model using Bayesian belief network bearing in mind the tie-in of risk factors (i.e., objective and subjective) critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as the situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts.
{"title":"Bayesian Belief Network Approach for Supply Risk Modelling","authors":"A. Jindal, S. Sharma, S. Routroy","doi":"10.4018/IJISSCM.2022010102","DOIUrl":"https://doi.org/10.4018/IJISSCM.2022010102","url":null,"abstract":"Today’s global and complex world increases the vulnerability to risks exponentially, and organizations are compelled to develop effective risk management strategies for mitigation. The prime focus of the research is to design a supply risk model using Bayesian belief network bearing in mind the tie-in of risk factors (i.e., objective and subjective) critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as the situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"300 1","pages":"1-17"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78530434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HealthCare EHR: A Blockchain-Based Decentralized Application","authors":"Amrutanshu Panigrahi, Ajit Kumar Nayak, R. Paul","doi":"10.4018/ijisscm.290017","DOIUrl":"https://doi.org/10.4018/ijisscm.290017","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"89 1","pages":"1-15"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90510060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Nair, P. AnbuudayasankarS., Sriram R. Devanathan, P. RaghuramR.
The adoption of Information & Communication Technology (ICT) is becoming increasingly ubiquitous and it is prominent in Supply Chain too. The objective of this paper is to perform an empirical investigation to assess the impact of ICT in Supply Chain Management (SCM) using Structural Equation Modeling (SEM). A Survey questionnaire was administered and collected from 200+ SCM professionals in sectors such as manufacturing, services, MSMEs, international companies as well as SCM/ERP professionals working as domain experts in IT and service companies. Confirmatory Factor Analysis was used to validate the suggested empirical model & hypothesis based on the impact of ICT deployment on SCOR Level I metrics/indicators as constructs. This research appends to the literature on supply chain performance measures and addresses a recognized gap in terms of rubrics, constructs, assessment frameworks and metrics of these ICT benefits and capabilities in SCM. This framework can be used by any enterprise irrespective of the geography or country, vertical or domain, manufacturing or services.
{"title":"Empirical Investigation to Assess the Impact of ICT Deployment in SCM Using SEM","authors":"P. Nair, P. AnbuudayasankarS., Sriram R. Devanathan, P. RaghuramR.","doi":"10.4018/ijisscm.287135","DOIUrl":"https://doi.org/10.4018/ijisscm.287135","url":null,"abstract":"The adoption of Information & Communication Technology (ICT) is becoming increasingly ubiquitous and it is prominent in Supply Chain too. The objective of this paper is to perform an empirical investigation to assess the impact of ICT in Supply Chain Management (SCM) using Structural Equation Modeling (SEM). A Survey questionnaire was administered and collected from 200+ SCM professionals in sectors such as manufacturing, services, MSMEs, international companies as well as SCM/ERP professionals working as domain experts in IT and service companies. Confirmatory Factor Analysis was used to validate the suggested empirical model & hypothesis based on the impact of ICT deployment on SCOR Level I metrics/indicators as constructs. This research appends to the literature on supply chain performance measures and addresses a recognized gap in terms of rubrics, constructs, assessment frameworks and metrics of these ICT benefits and capabilities in SCM. This framework can be used by any enterprise irrespective of the geography or country, vertical or domain, manufacturing or services.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"1 1","pages":"1-13"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89278482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Perceptions towards unsustainable supply chain practices in global, mainstream food systems are motivating a shift towards short food supply chains. Short food supply chains are developed to remove the physical and social distances between producer and consumer. Advances in digital technologies offer promise for short food supply chains, including platforms that can enable real-time data flow, create visibility, and support sustainable practices. This research aims to prioritise attractive quality requirements of short food supply chain digital platforms. The methodology consists of a literature review and Kano analysis for requirements prioritisation. The results show that the requirements span across the four Kano categories, attractive quality encompassing the largest number of requirements. The attractive quality requirements identified offer increased levels of satisfaction when present and have limited negative impact when missing. Therefore, they are considered exciting for potential users of a system. The limitations of the research and areas of future work are presented.
{"title":"Exploring Attractive Quality Requirements for Short Food Supply Chain Digital Platforms","authors":"Patrick R. Burgess, F. Sunmola","doi":"10.4018/ijisscm.304372","DOIUrl":"https://doi.org/10.4018/ijisscm.304372","url":null,"abstract":"Perceptions towards unsustainable supply chain practices in global, mainstream food systems are motivating a shift towards short food supply chains. Short food supply chains are developed to remove the physical and social distances between producer and consumer. Advances in digital technologies offer promise for short food supply chains, including platforms that can enable real-time data flow, create visibility, and support sustainable practices. This research aims to prioritise attractive quality requirements of short food supply chain digital platforms. The methodology consists of a literature review and Kano analysis for requirements prioritisation. The results show that the requirements span across the four Kano categories, attractive quality encompassing the largest number of requirements. The attractive quality requirements identified offer increased levels of satisfaction when present and have limited negative impact when missing. Therefore, they are considered exciting for potential users of a system. The limitations of the research and areas of future work are presented.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"24 7 1","pages":"1-24"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75416515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/IJISSCM.2021100105
Bing Bai, Junjun Gao, Weili Yin
{"title":"Demand Chain Strategy and Chinese Firm Performance: Role of IT Analytic Capability and Product Life Cycle","authors":"Bing Bai, Junjun Gao, Weili Yin","doi":"10.4018/IJISSCM.2021100105","DOIUrl":"https://doi.org/10.4018/IJISSCM.2021100105","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"29 1","pages":"94-119"},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73471294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/IJISSCM.2021100103
N. Chiadamrong, N. Sarnrak
{"title":"Meta-Prediction Models for Bullwhip Effect Prediction of a Supply Chain Using Regression Analysis","authors":"N. Chiadamrong, N. Sarnrak","doi":"10.4018/IJISSCM.2021100103","DOIUrl":"https://doi.org/10.4018/IJISSCM.2021100103","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"43 1","pages":"36-71"},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91390902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pharmaceutical Supply Chain Management Practices and Organizational Performance: A Ghanaian Perspective","authors":"Musah Osumanu Doumbia, Iddrisu Awudu, Mariama Yakubu, Vinay Gonela","doi":"10.4018/IJISSCM.2021100102","DOIUrl":"https://doi.org/10.4018/IJISSCM.2021100102","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"23 1","pages":"20-35"},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89620365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/IJISSCM.2021100104
M. A. Jahed, M. Quaddus, A. Gurung
{"title":"Towards a Comprehensive Model of SCM Adoption and Practice in the Fast Fashion Apparel Industry","authors":"M. A. Jahed, M. Quaddus, A. Gurung","doi":"10.4018/IJISSCM.2021100104","DOIUrl":"https://doi.org/10.4018/IJISSCM.2021100104","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"142 1","pages":"72-93"},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87964671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/IJISSCM.2021100101
Hanguang Qiu, Cejun Cao, Jie Zhen, H. Fu, Jixiang Zhou
{"title":"A Multicircle Order Acceptance Strategy for Dynamic Vehicle Routing Problems Considering Customer Choice of Last-Mile Delivery Modes and Time Slots","authors":"Hanguang Qiu, Cejun Cao, Jie Zhen, H. Fu, Jixiang Zhou","doi":"10.4018/IJISSCM.2021100101","DOIUrl":"https://doi.org/10.4018/IJISSCM.2021100101","url":null,"abstract":"","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"33 1","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85399318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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