Pub Date : 2020-01-01DOI: 10.1504/ijvcm.2020.10032997
J. Kuwornu, Edward Martey, Marife L. Moreno
{"title":"Assessment of the factors influencing the export of coconut from the Philippines","authors":"J. Kuwornu, Edward Martey, Marife L. Moreno","doi":"10.1504/ijvcm.2020.10032997","DOIUrl":"https://doi.org/10.1504/ijvcm.2020.10032997","url":null,"abstract":"","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66823817","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 : 2020-01-01DOI: 10.1504/ijvcm.2020.10031402
K. Šrédl, V. Krajčík, Milan Paták, Lucie Severová, R. Svoboda
{"title":"Influence of the monopolistic production of mineral water on its value chain in the Czech Republic","authors":"K. Šrédl, V. Krajčík, Milan Paták, Lucie Severová, R. Svoboda","doi":"10.1504/ijvcm.2020.10031402","DOIUrl":"https://doi.org/10.1504/ijvcm.2020.10031402","url":null,"abstract":"","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66823785","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 : 2020-01-01DOI: 10.1504/ijvcm.2020.10032992
Mateja Vadnjal
{"title":"The role of human capital and social capital on the innovativeness of female entrepreneurs","authors":"Mateja Vadnjal","doi":"10.1504/ijvcm.2020.10032992","DOIUrl":"https://doi.org/10.1504/ijvcm.2020.10032992","url":null,"abstract":"","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66823806","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 : 2019-10-17DOI: 10.1504/ijvcm.2019.10024737
Saurav Negi, Lincoln C. Wood
This paper examines the factors leading to high lead time in transportation stage of perishable food supply chain in India, which impact the quality of food and ultimately results in food losses. This study is motivated by the criticality of transportation in the North Indian region and increasing food losses and wastage. Mango and tomato supply chains are used in this research as they are dominant and economically important industries in parts of India. The research first used a survey-based questionnaire from the transporters who are responsible for transporting the fresh produce from the farms at Uttar Pradesh, Himachal Pradesh and Uttarakhand (India) to Asia's largest wholesale fruit and vegetable market (Mandi) in Azadpur, Delhi. The data were analysed separately each of mangos and tomatoes. Based on the analysis, the identified factors are infrastructure, imprudence, continuous verification and frisking, connectivity and resources/transportation facilities. Interviews were conducted with food supply chain experts to gain insight into practical measures that can be taken to reduce transportation lead time.
{"title":"Transportation lead time in perishable food value chains: an Indian perspective","authors":"Saurav Negi, Lincoln C. Wood","doi":"10.1504/ijvcm.2019.10024737","DOIUrl":"https://doi.org/10.1504/ijvcm.2019.10024737","url":null,"abstract":"This paper examines the factors leading to high lead time in transportation stage of perishable food supply chain in India, which impact the quality of food and ultimately results in food losses. This study is motivated by the criticality of transportation in the North Indian region and increasing food losses and wastage. Mango and tomato supply chains are used in this research as they are dominant and economically important industries in parts of India. The research first used a survey-based questionnaire from the transporters who are responsible for transporting the fresh produce from the farms at Uttar Pradesh, Himachal Pradesh and Uttarakhand (India) to Asia's largest wholesale fruit and vegetable market (Mandi) in Azadpur, Delhi. The data were analysed separately each of mangos and tomatoes. Based on the analysis, the identified factors are infrastructure, imprudence, continuous verification and frisking, connectivity and resources/transportation facilities. Interviews were conducted with food supply chain experts to gain insight into practical measures that can be taken to reduce transportation lead time.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48105969","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 : 2019-10-17DOI: 10.1504/ijvcm.2019.10024744
S. Malik, A. Fearne, J. O’Hanley
Our work highlights the importance of using disaggregated demand information at store level to improve sales forecasts and stock allocation during sales promotions. Monte Carlo simulation and optimisation modelling were used to estimate short-term promotional impacts. Supermarket loyalty card data was used from a major UK retailer to identify the benefits of using disaggregated demand data for improved forecasting and stock allocation. The results suggest that there is a high degree of heterogeneity in demand at individual store level due to number of factors including the weather, the characteristics of shoppers, the characteristics of products and store format, all of which conspire to generate significant variation in promotional uplifts. The paper is the first to use supermarket loyalty card data to generate store level promotional forecasts and quantify the benefits of disaggregating the allocation of promotional stock to the level of individual stores rather than regional distribution centres.
{"title":"The use of disaggregated demand information to improve forecasts and stock allocation during sales promotions: a simulation and optimisation study using supermarket loyalty card data","authors":"S. Malik, A. Fearne, J. O’Hanley","doi":"10.1504/ijvcm.2019.10024744","DOIUrl":"https://doi.org/10.1504/ijvcm.2019.10024744","url":null,"abstract":"Our work highlights the importance of using disaggregated demand information at store level to improve sales forecasts and stock allocation during sales promotions. Monte Carlo simulation and optimisation modelling were used to estimate short-term promotional impacts. Supermarket loyalty card data was used from a major UK retailer to identify the benefits of using disaggregated demand data for improved forecasting and stock allocation. The results suggest that there is a high degree of heterogeneity in demand at individual store level due to number of factors including the weather, the characteristics of shoppers, the characteristics of products and store format, all of which conspire to generate significant variation in promotional uplifts. The paper is the first to use supermarket loyalty card data to generate store level promotional forecasts and quantify the benefits of disaggregating the allocation of promotional stock to the level of individual stores rather than regional distribution centres.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45761538","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 : 2019-10-17DOI: 10.1504/ijvcm.2019.10024735
Fred Hoffman, Shelly Freyn
Competitive intelligence consultancies are a subset of the management consulting industry, and along with business intelligence and knowledge management, competitive intelligence represents one leg of the commercial intelligence triad. Business intelligence and knowledge management benefit considerably from big data and artificial intelligence. As big data, big data analytics, and artificial intelligence continue to significantly transform countless industries, some have asserted that these technologies will disrupt the management consulting world and could even render the role of the human analyst obsolete. This article examines the future of competitive intelligence in an AI-enabled world and identifies trends and proposed changes that will enable competitive intelligence to remain both relevant and valued for decades to come.
{"title":"The future of competitive intelligence in an AI-enabled world","authors":"Fred Hoffman, Shelly Freyn","doi":"10.1504/ijvcm.2019.10024735","DOIUrl":"https://doi.org/10.1504/ijvcm.2019.10024735","url":null,"abstract":"Competitive intelligence consultancies are a subset of the management consulting industry, and along with business intelligence and knowledge management, competitive intelligence represents one leg of the commercial intelligence triad. Business intelligence and knowledge management benefit considerably from big data and artificial intelligence. As big data, big data analytics, and artificial intelligence continue to significantly transform countless industries, some have asserted that these technologies will disrupt the management consulting world and could even render the role of the human analyst obsolete. This article examines the future of competitive intelligence in an AI-enabled world and identifies trends and proposed changes that will enable competitive intelligence to remain both relevant and valued for decades to come.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45409268","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 : 2019-10-17DOI: 10.1504/ijvcm.2019.10024743
Pankaj M. Madhani
With strategic supply chain management (SSCM) approach, supply chains develop capabilities to prosper within today's competitive global landscape. SSCM helps organisations to anticipate demand of consumers precisely; cater such demand reliably and swiftly and enhance supply chain efficiency and effectiveness. Greater insight into demand and delivery schedule provided by SSCM will improve operational performance and help organisations in creating the business value they seek. Research develops appropriate competitive priorities of SSCM in terms of responsiveness, resilience, reliability and realignment to enhance SCM efficiency, effectiveness and competitive advantages. Research underscores the dynamic capabilities of responsiveness, resiliency, reliability and realignment as important drivers of SSCM and develops relevant research propositions. The main purpose of the research is to emphasise how strategic supply chain approach improves business performance and accordingly formulates an integrated SSCM framework for business value added.
{"title":"Strategic supply chain management for enhancing competitive advantages: developing business value added framework","authors":"Pankaj M. Madhani","doi":"10.1504/ijvcm.2019.10024743","DOIUrl":"https://doi.org/10.1504/ijvcm.2019.10024743","url":null,"abstract":"With strategic supply chain management (SSCM) approach, supply chains develop capabilities to prosper within today's competitive global landscape. SSCM helps organisations to anticipate demand of consumers precisely; cater such demand reliably and swiftly and enhance supply chain efficiency and effectiveness. Greater insight into demand and delivery schedule provided by SSCM will improve operational performance and help organisations in creating the business value they seek. Research develops appropriate competitive priorities of SSCM in terms of responsiveness, resilience, reliability and realignment to enhance SCM efficiency, effectiveness and competitive advantages. Research underscores the dynamic capabilities of responsiveness, resiliency, reliability and realignment as important drivers of SSCM and develops relevant research propositions. The main purpose of the research is to emphasise how strategic supply chain approach improves business performance and accordingly formulates an integrated SSCM framework for business value added.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45583398","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 : 2019-06-21DOI: 10.1504/IJVCM.2019.10022071
Ricardo Zimmermann, L. Ferreira, A. Moreira
Considering the importance of innovation and supply chain (SC) management for firms' competitiveness and the growing interest for the relationship between these two areas, this conceptual paper aims to answer the following research question: how does the fit between the different innovation strategies and SC strategies influence business performance? A literature review was conducted as the basis for developing a conceptual framework, using the principles of resource-based view and contingency theory. Different innovation and SC strategies are studied and discussed with respect to the expected effects of fit on business performance. Five propositions and a conceptual framework are presented showing the complexity of the relationship between both strategies. The conceptual model put forward helps to advance research in the area allowing for an interrelationship between innovation and SC strategies, something that has not been adequately researched, and provides insights for managers who are seeking substantive improvement of business performance.
{"title":"Strategic fit between innovation strategies and supply chain strategies: a conceptual study","authors":"Ricardo Zimmermann, L. Ferreira, A. Moreira","doi":"10.1504/IJVCM.2019.10022071","DOIUrl":"https://doi.org/10.1504/IJVCM.2019.10022071","url":null,"abstract":"Considering the importance of innovation and supply chain (SC) management for firms' competitiveness and the growing interest for the relationship between these two areas, this conceptual paper aims to answer the following research question: how does the fit between the different innovation strategies and SC strategies influence business performance? A literature review was conducted as the basis for developing a conceptual framework, using the principles of resource-based view and contingency theory. Different innovation and SC strategies are studied and discussed with respect to the expected effects of fit on business performance. Five propositions and a conceptual framework are presented showing the complexity of the relationship between both strategies. The conceptual model put forward helps to advance research in the area allowing for an interrelationship between innovation and SC strategies, something that has not been adequately researched, and provides insights for managers who are seeking substantive improvement of business performance.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46630262","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 : 2019-06-21DOI: 10.1504/IJVCM.2019.10022070
A. Mensah-Bonsu, C. Owusu, D. Amegashie, J. Kuwornu
This study sought to understand the determinants of market channel choice among smallholder beef cattle farmers in Ghana's forest-savannah transitional zone. Data was collected from 200 farmers through the administration of a structured questionnaire and analysed using a multinomial logit regression model. The results revealed that the producers' level of education, herd size, mode of payment and price for cattle sold positively influence the producers' choice of marketing channel, whereas the quantity beef cattle sold, the reason for production, farmer access to extension services, years of farming experience, membership of a producers association and marketing cost negatively influenced the choice of marketing channel. The role of farmer-based associations, standardisation of the beef cattle trade, provision of market information to the producers, and profiling of the producers based on the basis of their production capacity are critical for the improvement of the businesses of the beef cattle farmers.
{"title":"Determinants of marketing channel choice among smallholder beef cattle farmers in Ghana's forest-savannah transitional zone","authors":"A. Mensah-Bonsu, C. Owusu, D. Amegashie, J. Kuwornu","doi":"10.1504/IJVCM.2019.10022070","DOIUrl":"https://doi.org/10.1504/IJVCM.2019.10022070","url":null,"abstract":"This study sought to understand the determinants of market channel choice among smallholder beef cattle farmers in Ghana's forest-savannah transitional zone. Data was collected from 200 farmers through the administration of a structured questionnaire and analysed using a multinomial logit regression model. The results revealed that the producers' level of education, herd size, mode of payment and price for cattle sold positively influence the producers' choice of marketing channel, whereas the quantity beef cattle sold, the reason for production, farmer access to extension services, years of farming experience, membership of a producers association and marketing cost negatively influenced the choice of marketing channel. The role of farmer-based associations, standardisation of the beef cattle trade, provision of market information to the producers, and profiling of the producers based on the basis of their production capacity are critical for the improvement of the businesses of the beef cattle farmers.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44104159","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}
The main aim of this study is to develop a fuzzy analytic hierarchy process (FAHP) model to prioritise the faults of the sugar industry. Although the concept of fault diagnosis has been discussed in previous studies, fault diagnosis of sugar industry is not investigated yet. To fill this gap, this study is carried out in three main phases as follows. Firstly, the general faults of industries are developed from the previous literature. Secondly, the developed faults are investigated with regard to their availability in sugar industry. Finally, a FAHP model is applied to prioritise the faults of sugar industry. According to the results, old technology, improper financing, poor research and development and lack of creativity and innovation are four main faults of sugar industry, respectively. Some managerial implications are suggested to deal with these faults and improve the performance of this industry.
{"title":"Fault diagnosis and prioritisation in sugar industry: a fuzzy-AHP approach","authors":"Fatemeh Khorramrouz, Masoud Rahiminezhad Galankashi","doi":"10.1504/IJVCM.2019.10022067","DOIUrl":"https://doi.org/10.1504/IJVCM.2019.10022067","url":null,"abstract":"The main aim of this study is to develop a fuzzy analytic hierarchy process (FAHP) model to prioritise the faults of the sugar industry. Although the concept of fault diagnosis has been discussed in previous studies, fault diagnosis of sugar industry is not investigated yet. To fill this gap, this study is carried out in three main phases as follows. Firstly, the general faults of industries are developed from the previous literature. Secondly, the developed faults are investigated with regard to their availability in sugar industry. Finally, a FAHP model is applied to prioritise the faults of sugar industry. According to the results, old technology, improper financing, poor research and development and lack of creativity and innovation are four main faults of sugar industry, respectively. Some managerial implications are suggested to deal with these faults and improve the performance of this industry.","PeriodicalId":43149,"journal":{"name":"International Journal of Value Chain Management","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43948451","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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