A. M. Al-Abdulkader, S. H. Al-Kahtani, S. Ismaiel, Ahmed M. Elhendi, Ali I. Saad, Y. Alamri, Abdullah I. Al-Dakhil
Date sector is a considerate sector worldwide with an estimated trade value equivalent to about 3.72 billion Saudi Riyals (SR) in 2013. Enhancing marketing efficiency of dates becomes imperative to nations that date sector has a special status in their economies and social heritage such that of the Kingdom of Saudi Arabia. This research paper is targeted to estimate the marketing efficiency of dates at different marketing channels qualitatively using a typical five level LIKERT scale and quantitatively using the Two-Stage Data Envelopment Analysis (2s DEA), to estimate the potential economic impact of improving marketing efficiency on the date marketing channels and on the national economy, and to introduce a set of policies and mechanisms that enhance the competitiveness of the Saudi dates at the local and international markets. The estimated results showed that the total market value of the Saudi dates is about 22.65 billion SR annually, and there is a great potential to improve date marketing efficiency to achieve an additional 30 per cent of value added to traders and the national economy, equivalent to about 6.88 billion SR annually. The research paper concluded with a set of policies and mechanisms to enhance the marketing efficiency and the competitiveness of the Saudi dates at the local and international markets.
{"title":"Enhancing Marketing Efficiency of the Saudi Dates at the National and International Markets","authors":"A. M. Al-Abdulkader, S. H. Al-Kahtani, S. Ismaiel, Ahmed M. Elhendi, Ali I. Saad, Y. Alamri, Abdullah I. Al-Dakhil","doi":"10.5539/IJEF.V8N8P53","DOIUrl":"https://doi.org/10.5539/IJEF.V8N8P53","url":null,"abstract":"Date sector is a considerate sector worldwide with an estimated trade value equivalent to about 3.72 billion Saudi Riyals (SR) in 2013. Enhancing marketing efficiency of dates becomes imperative to nations that date sector has a special status in their economies and social heritage such that of the Kingdom of Saudi Arabia. This research paper is targeted to estimate the marketing efficiency of dates at different marketing channels qualitatively using a typical five level LIKERT scale and quantitatively using the Two-Stage Data Envelopment Analysis (2s DEA), to estimate the potential economic impact of improving marketing efficiency on the date marketing channels and on the national economy, and to introduce a set of policies and mechanisms that enhance the competitiveness of the Saudi dates at the local and international markets. The estimated results showed that the total market value of the Saudi dates is about 22.65 billion SR annually, and there is a great potential to improve date marketing efficiency to achieve an additional 30 per cent of value added to traders and the national economy, equivalent to about 6.88 billion SR annually. The research paper concluded with a set of policies and mechanisms to enhance the marketing efficiency and the competitiveness of the Saudi dates at the local and international markets.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627260","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}
This paperwork focuses on regulatory requirements for companies in Nigeria. It is aimed at easing the burden brought on companies by the complex regulatory frameworks by the various regulatory bodies in Nigeria. It is believed that by constant use of this work, there will be minimal compliance gaps particularly for companies and individuals. Note that this paperwork is however not all encompassing, as there are other requirements for specialise companies. Also, regulatory requirements are subject to constant reviews by authorities. Companies are advise to seek relevant advise and guidance from the relevant professionals.
{"title":"Checklist for Regulatory Requirements and Compliance Score Card for Companies in Nigeria","authors":"Fatiu Badmus","doi":"10.2139/ssrn.3128728","DOIUrl":"https://doi.org/10.2139/ssrn.3128728","url":null,"abstract":"This paperwork focuses on regulatory requirements for companies in Nigeria. It is aimed at easing the burden brought on companies by the complex regulatory frameworks by the various regulatory bodies in Nigeria. It is believed that by constant use of this work, there will be minimal compliance gaps particularly for companies and individuals. Note that this paperwork is however not all encompassing, as there are other requirements for specialise companies. Also, regulatory requirements are subject to constant reviews by authorities. Companies are advise to seek relevant advise and guidance from the relevant professionals.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103613","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}
To improve operational flexibility, throughput capacity, and responsiveness in order fulfillment operations, several distribution centers are implementing autonomous vehicle-based storage and retrieval (AVS/R) system in their high-density storage areas. In such systems, vehicles are self-powered to travel in horizontal directions (x- and y-axes), and use lifts or conveyors for vertical motion (z-axis). In this research, we propose a multi-tier queuing modeling framework for the performance analysis of such vehicle-based warehouse systems. We develop an embedded Markov chain based analysis approach to estimate the first and second moment of inter-departure times from the load-dependent station within a semi-open queuing network. The linking solution approach uses traffic process approximations to analyze the performance of sub-models corresponding to individual tiers (semi-open queues) and the vertical transfer units (open queues). These sub-models are linked to form an integrated queuing network model, which is solved using an iterative algorithm. Performance estimates such as expected transaction cycle times and resource (vehicle and vertical transfer unit) utilization are determined using this algorithm, and can be used to evaluate a variety of design configurations during the conceptualization phase.
{"title":"A Multi-Tier Linking Approach to Analyze Performance of Vehicle-Based Warehouse Systems","authors":"D. Roy, A. Krishnamurthy, S. Heragu, C. Malmborg","doi":"10.2139/ssrn.2756300","DOIUrl":"https://doi.org/10.2139/ssrn.2756300","url":null,"abstract":"To improve operational flexibility, throughput capacity, and responsiveness in order fulfillment operations, several distribution centers are implementing autonomous vehicle-based storage and retrieval (AVS/R) system in their high-density storage areas. In such systems, vehicles are self-powered to travel in horizontal directions (x- and y-axes), and use lifts or conveyors for vertical motion (z-axis). In this research, we propose a multi-tier queuing modeling framework for the performance analysis of such vehicle-based warehouse systems. We develop an embedded Markov chain based analysis approach to estimate the first and second moment of inter-departure times from the load-dependent station within a semi-open queuing network. The linking solution approach uses traffic process approximations to analyze the performance of sub-models corresponding to individual tiers (semi-open queues) and the vertical transfer units (open queues). These sub-models are linked to form an integrated queuing network model, which is solved using an iterative algorithm. Performance estimates such as expected transaction cycle times and resource (vehicle and vertical transfer unit) utilization are determined using this algorithm, and can be used to evaluate a variety of design configurations during the conceptualization phase.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122580235","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}
Why did the Federal Trade Commission (FTC) aggressively pursue Volkswagen’s claims about “clean-diesel” technology, while ignoring widespread practices like deceptive discount pricing? Why did the FTC offer formal guidance to industry about “native advertising,” but only casual guidance to consumers about widely-used, peer-review aggregators like Yelp! and Fandango? For decades, the FTC has only loosely employed a cost-benefit-analysis approach toward prioritizing enforcement of advertising regulation. I contend that federal regulators can best refine enforcement priorities by looking to the information economics literature for an established framework for classifying advertising claims. This Article shows that classifying advertising into search claims, experience claims, and credence claims offers a structure for more rigorous cost-benefit analysis of enforcement opportunities. Expressly incorporating this search-experience-credence claim framework into regulatory decision making and prioritization will lead to improved stewardship of FTC resources.
{"title":"Refining Advertising Regulation","authors":"D. A. Friedman","doi":"10.2139/SSRN.2731940","DOIUrl":"https://doi.org/10.2139/SSRN.2731940","url":null,"abstract":"Why did the Federal Trade Commission (FTC) aggressively pursue Volkswagen’s claims about “clean-diesel” technology, while ignoring widespread practices like deceptive discount pricing? Why did the FTC offer formal guidance to industry about “native advertising,” but only casual guidance to consumers about widely-used, peer-review aggregators like Yelp! and Fandango? For decades, the FTC has only loosely employed a cost-benefit-analysis approach toward prioritizing enforcement of advertising regulation. I contend that federal regulators can best refine enforcement priorities by looking to the information economics literature for an established framework for classifying advertising claims. This Article shows that classifying advertising into search claims, experience claims, and credence claims offers a structure for more rigorous cost-benefit analysis of enforcement opportunities. Expressly incorporating this search-experience-credence claim framework into regulatory decision making and prioritization will lead to improved stewardship of FTC resources.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116924904","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 cost of storing and processing vast quantities of digital data has dropped significantly in recent years. Cloud computing services, such as those provided by Amazon, have commodified data processing so that applications that once required supercomputers are now available to anyone with an internet connection and a credit card. When the Data Protection Directive was issued in 1995 the World Wide Web as we understand it today barely existed. The scale and scope of data gathering on citizens could not have been foreseen and so the existing legal framework is challenged by the widespread collection of data on individuals as they surf the web and when they interact with businesses in the real world. Despite the confidence of the Article 29 Working Party established to monitor the effectiveness of the Directive, big data poses challenges that may prove unsurmountable for the existing legal framework.
{"title":"Challenges Posed by Big Data to European Data Protection Law","authors":"C. Manning","doi":"10.2139/SSRN.2728624","DOIUrl":"https://doi.org/10.2139/SSRN.2728624","url":null,"abstract":"The cost of storing and processing vast quantities of digital data has dropped significantly in recent years. Cloud computing services, such as those provided by Amazon, have commodified data processing so that applications that once required supercomputers are now available to anyone with an internet connection and a credit card. When the Data Protection Directive was issued in 1995 the World Wide Web as we understand it today barely existed. The scale and scope of data gathering on citizens could not have been foreseen and so the existing legal framework is challenged by the widespread collection of data on individuals as they surf the web and when they interact with businesses in the real world. Despite the confidence of the Article 29 Working Party established to monitor the effectiveness of the Directive, big data poses challenges that may prove unsurmountable for the existing legal framework.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131123923","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}
Garrett A. Johnson, Randall A. Lewis, David H. Reiley
Yahoo! Research partnered with a nationwide retailer to study the effects of online display advertising on both online and in-store purchases. We use a randomized field experiment on 3 million Yahoo! users who are also past customers of the retailer. We find statistically significant evidence that the retailer ads increase sales 3.6% relative to the control group. We show that control ads boost measurement precision by identifying and removing the half of in-campaign sales data that is unaffected by the ads. Less data gives us 31% more precision in our estimates — equivalent to increasing our sample to 5.3 million users. By contrast, we only improve precision by 5% when we include additional covariate data to reduce the residual variance in our experimental regression. The covariate-adjustment strategy disappoints despite exceptional consumer-level data including demographics, ad exposure levels, and two years’ worth of past purchase history.
{"title":"When Less is More: Data and Power in Advertising Experiments","authors":"Garrett A. Johnson, Randall A. Lewis, David H. Reiley","doi":"10.2139/ssrn.2683621","DOIUrl":"https://doi.org/10.2139/ssrn.2683621","url":null,"abstract":"Yahoo! Research partnered with a nationwide retailer to study the effects of online display advertising on both online and in-store purchases. We use a randomized field experiment on 3 million Yahoo! users who are also past customers of the retailer. We find statistically significant evidence that the retailer ads increase sales 3.6% relative to the control group. We show that control ads boost measurement precision by identifying and removing the half of in-campaign sales data that is unaffected by the ads. Less data gives us 31% more precision in our estimates — equivalent to increasing our sample to 5.3 million users. By contrast, we only improve precision by 5% when we include additional covariate data to reduce the residual variance in our experimental regression. The covariate-adjustment strategy disappoints despite exceptional consumer-level data including demographics, ad exposure levels, and two years’ worth of past purchase history.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126379788","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}
In this era of globalization, as competition intensifies, providing on timely delivered products and services has become a competitive advantage and a need to ensure survival. The Six Sigma’s problem solving methodology DMAIC has been one of the several techniques used by organizations to improve the deliveries of their products and services. This paper is based on an application of Six Sigma and DMAIC to improve on time deliveries within a MDF boards manufacturing organization in Sri Lanka. The paper follows the DMAIC methodology to systematically investigate the root causes of delivery failures and provide a solution to improve them. It begins with the past data analysis of the problem to find out major causes for delivery failures and after finding major causes further analysis is done to find out sub critical causes. Then reasons are analyzed for these sub causes and for these analyses Pareto charts, Brainstorming, Fish bone diagrams and verification sheets are used as tools and techniques. Finally to find out key root causes 5Y analysis is used and solutions have been proposed to overcome these issues. Product quality issues and Plant availability issues were the most problematic cause for delivery failures. Further analysis noted, Shives, Crack marks and Rough surface were the most problematic quality defects and to loss plant availability several mechanical and production related plant down time issues were caused. Metering belt broken, Doffing rolls drive chain broken and fibers leaking from gland packing at refiner 01 were the most significant causes identified as mechanical related plant down times and out feed board blockage, refiner 01 blow line blockage and forming line scalper exhaust line blockage were the most significant production related plant down time causes. This paper can be used as a guiding reference for managers and engineers to undertake specific product and process improvement projects, in their organizations, similar to the one presented in this paper. This study presents an industrial case which demonstrates how the application of Six Sigma and DMAIC can help manufacturing organizations to achieve product quality and plant availability improvements in their companies and thus contribute to their search for improvement of on time deliveries.
{"title":"A Case Study on Application of DMAIC to Improve Delivery Efficiency","authors":"Bandara Tennakoon, T.M.B. Palawatta","doi":"10.2139/ssrn.2706992","DOIUrl":"https://doi.org/10.2139/ssrn.2706992","url":null,"abstract":"In this era of globalization, as competition intensifies, providing on timely delivered products and services has become a competitive advantage and a need to ensure survival. The Six Sigma’s problem solving methodology DMAIC has been one of the several techniques used by organizations to improve the deliveries of their products and services. This paper is based on an application of Six Sigma and DMAIC to improve on time deliveries within a MDF boards manufacturing organization in Sri Lanka. The paper follows the DMAIC methodology to systematically investigate the root causes of delivery failures and provide a solution to improve them. It begins with the past data analysis of the problem to find out major causes for delivery failures and after finding major causes further analysis is done to find out sub critical causes. Then reasons are analyzed for these sub causes and for these analyses Pareto charts, Brainstorming, Fish bone diagrams and verification sheets are used as tools and techniques. Finally to find out key root causes 5Y analysis is used and solutions have been proposed to overcome these issues. Product quality issues and Plant availability issues were the most problematic cause for delivery failures. Further analysis noted, Shives, Crack marks and Rough surface were the most problematic quality defects and to loss plant availability several mechanical and production related plant down time issues were caused. Metering belt broken, Doffing rolls drive chain broken and fibers leaking from gland packing at refiner 01 were the most significant causes identified as mechanical related plant down times and out feed board blockage, refiner 01 blow line blockage and forming line scalper exhaust line blockage were the most significant production related plant down time causes. This paper can be used as a guiding reference for managers and engineers to undertake specific product and process improvement projects, in their organizations, similar to the one presented in this paper. This study presents an industrial case which demonstrates how the application of Six Sigma and DMAIC can help manufacturing organizations to achieve product quality and plant availability improvements in their companies and thus contribute to their search for improvement of on time deliveries.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126632392","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}
Every business organization has an objective which is profit maximization and market growth. Manufacturers will always want to get to the final consumer and this can best be achieved through rigorous advertising processes. This study sought to find out the methods and techniques adopted by multinational companies like; the Nigeria Breweries Plc. Guinness Nigeria Plc, Nigerian Bottling Company Plc, Nestle Plc. and Cadbury Nigeria Plc, in the making of their advertising budgets on sales so as to achieve, profitability and increased market shares. In carrying out this study, literature in related areas were reviewed, questionnaire issued to the companies’ executives. The sample was 10% of the population and the technique was purposively based on positions and responsibilities. The study revealed that advertising appropriations, in the companies studied, were not made on speculations and hunches; but along the line of known conventional methods. The calculation revealed that at 5% level of confidence, x2 critical (3.8428) was less than x2 calculated (6.56) thereby upholding the hypothesis proposed, that multinational companies in Nigeria draw up their budgets through conventional budgetary methods. Based on the findings, we recommend that the most reasonable way of making appropriations is by a combination of various methods which if applied and appropriate media should be used so as to reach the actual consumers as this will reduce budget and most likely increase profitability.
{"title":"Advertising Budgets and Multinational Companies: The Nigerian Experience","authors":"Madumere Ifeanyi","doi":"10.2139/ssrn.2705744","DOIUrl":"https://doi.org/10.2139/ssrn.2705744","url":null,"abstract":"Every business organization has an objective which is profit maximization and market growth. Manufacturers will always want to get to the final consumer and this can best be achieved through rigorous advertising processes. This study sought to find out the methods and techniques adopted by multinational companies like; the Nigeria Breweries Plc. Guinness Nigeria Plc, Nigerian Bottling Company Plc, Nestle Plc. and Cadbury Nigeria Plc, in the making of their advertising budgets on sales so as to achieve, profitability and increased market shares. In carrying out this study, literature in related areas were reviewed, questionnaire issued to the companies’ executives. The sample was 10% of the population and the technique was purposively based on positions and responsibilities. The study revealed that advertising appropriations, in the companies studied, were not made on speculations and hunches; but along the line of known conventional methods. The calculation revealed that at 5% level of confidence, x2 critical (3.8428) was less than x2 calculated (6.56) thereby upholding the hypothesis proposed, that multinational companies in Nigeria draw up their budgets through conventional budgetary methods. Based on the findings, we recommend that the most reasonable way of making appropriations is by a combination of various methods which if applied and appropriate media should be used so as to reach the actual consumers as this will reduce budget and most likely increase profitability.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124723496","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}
A model is built in order to study the impact of variance of demand on the supply chain inventory and also to identify the best combination of the inventory policy across the supply chain. Inventory management at independent entities is to either prevent stock out or for having lowest funds locked up. This might result in the either higher inventory holding or stock out across the supply chain. Simulation study was undertaken on four echelon supply chain. With the demand varying from 10% to 70%, the best combination inventory policy had a supply chain inventory SD varying from 11.5% to 18.9% respectively. Demand flow policy at retailer, manufacturer and supplier with s,Q policy at wholesaler would result in the least standard deviation of inventory across the supply chain for low demand variance product. Similarly, s,Q policy at retailer, supplier and s,S policy at wholesaler and demand flow policy at manufacturer is the optimum set for having least standard deviation of inventory across the supply chain for high demand variance product.
{"title":"Inventory Policies Across Echelons of Supply Chain and Variance of Supply Chain Inventory","authors":"Venkata Dilip Kumar Pasupuleti","doi":"10.2139/ssrn.2702702","DOIUrl":"https://doi.org/10.2139/ssrn.2702702","url":null,"abstract":"A model is built in order to study the impact of variance of demand on the supply chain inventory and also to identify the best combination of the inventory policy across the supply chain. Inventory management at independent entities is to either prevent stock out or for having lowest funds locked up. This might result in the either higher inventory holding or stock out across the supply chain. Simulation study was undertaken on four echelon supply chain. With the demand varying from 10% to 70%, the best combination inventory policy had a supply chain inventory SD varying from 11.5% to 18.9% respectively. Demand flow policy at retailer, manufacturer and supplier with s,Q policy at wholesaler would result in the least standard deviation of inventory across the supply chain for low demand variance product. Similarly, s,Q policy at retailer, supplier and s,S policy at wholesaler and demand flow policy at manufacturer is the optimum set for having least standard deviation of inventory across the supply chain for high demand variance product.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122100402","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 : 2015-10-21DOI: 10.16980/JITC.11.5.201510.43
Ying Liu, Taewon Kang
China has a very suitable environment for the development of the express industry. The growth rate of online stores in the world has exceeded the GDP growth of China and other countries. In the past five years, the express service market of China had expanded rapidly, reaching an annual growth rate of over 35%. Enterprises are engaged in this industry mainly because of the high profits, low entry requirement and great growth potential in the domestic market. This paper, through literature review, provided a case study of SF-Express, an outstanding privately operated express company in China. It analyzed the operational model of SF-Express to find out the effective means for enterprises to hone their core competitiveness for rapid development. It then used SWOT analysis to match opportunities, threats, strengths and weaknesses. This was vital for reaching optional strategic schemes for enterprises. Finally, it proposes some referential suggestions on the operational model of express companies.
{"title":"Operational Model of China's Express Services Industry: A Case Study of SF-Express","authors":"Ying Liu, Taewon Kang","doi":"10.16980/JITC.11.5.201510.43","DOIUrl":"https://doi.org/10.16980/JITC.11.5.201510.43","url":null,"abstract":"China has a very suitable environment for the development of the express industry. The growth rate of online stores in the world has exceeded the GDP growth of China and other countries. In the past five years, the express service market of China had expanded rapidly, reaching an annual growth rate of over 35%. Enterprises are engaged in this industry mainly because of the high profits, low entry requirement and great growth potential in the domestic market. This paper, through literature review, provided a case study of SF-Express, an outstanding privately operated express company in China. It analyzed the operational model of SF-Express to find out the effective means for enterprises to hone their core competitiveness for rapid development. It then used SWOT analysis to match opportunities, threats, strengths and weaknesses. This was vital for reaching optional strategic schemes for enterprises. Finally, it proposes some referential suggestions on the operational model of express companies.","PeriodicalId":414091,"journal":{"name":"Innovation & Management Science eJournal","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792532","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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