Pub Date : 2018-01-01DOI: 10.1504/ijsoi.2018.10014017
Cao Ming, Duan Jun
{"title":"Population distribution patterns and urban social structure: a spatial statistical analysis of Suzhou city","authors":"Cao Ming, Duan Jun","doi":"10.1504/ijsoi.2018.10014017","DOIUrl":"https://doi.org/10.1504/ijsoi.2018.10014017","url":null,"abstract":"","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"57 1","pages":"116"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66743950","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 : 2018-01-01DOI: 10.1504/ijsoi.2018.10018734
Lulu Zou, Guowei Hua
Current studies on container throughput forecasting are mainly focused on independent forecasts of individual ports, neglecting the deep underlying correlation between the ports and thus may lead to large errors of the prediction. To overcome the weaknesses, this paper proposes a new container throughput forecasting method to systematically forecast the correlated ports. A systematical forecasting model (SFM) is established based on the correlation between the ports identified by the Granger causal test and estimated using the method newly proposed in this paper. For verification purposes, multiple forecasting models, including the newly proposed SFM and the independently forecasting models, are constructed and compared in terms of the forecasting performance based on the monthly container throughput data of Shenzhen port and Hong Kong port, the empirical results show that the new model is superior to its rivals in terms of absolute prediction accuracy and direction accuracy.
{"title":"A systematical forecasting method for container throughput of correlated ports: a case study of Shenzhen port and Hong Kong port","authors":"Lulu Zou, Guowei Hua","doi":"10.1504/ijsoi.2018.10018734","DOIUrl":"https://doi.org/10.1504/ijsoi.2018.10018734","url":null,"abstract":"Current studies on container throughput forecasting are mainly focused on independent forecasts of individual ports, neglecting the deep underlying correlation between the ports and thus may lead to large errors of the prediction. To overcome the weaknesses, this paper proposes a new container throughput forecasting method to systematically forecast the correlated ports. A systematical forecasting model (SFM) is established based on the correlation between the ports identified by the Granger causal test and estimated using the method newly proposed in this paper. For verification purposes, multiple forecasting models, including the newly proposed SFM and the independently forecasting models, are constructed and compared in terms of the forecasting performance based on the monthly container throughput data of Shenzhen port and Hong Kong port, the empirical results show that the new model is superior to its rivals in terms of absolute prediction accuracy and direction accuracy.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"9 1","pages":"297"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66744129","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 : 2017-09-13DOI: 10.1504/IJSOI.2017.086577
Yu Lijian, Hsueh Yicheng
Fairness preference theory into the supply chain behaviour operation management is an important research direction. This paper introduces the equity preference to double channels supply chain. On the double channel conditions, the paper, respectively, discusses the supply members' order problem in two circumstances: no customer transfer and existing customers transfer. In the case of retailer domination, two cases are discussed: the one is the producers reserve product quantity for their own internet direct channel and the other one is the order quantity of retailers. Finally, through numerical analysis, the paper shows that fairness preference has the influence on the order quantity, and it is more suitable for producers to open the type of network marketing platform products, and the paper provides constructive guidance.
{"title":"Under the fairness preference existing the strategy of dual-channel supply chain order of customer transfer","authors":"Yu Lijian, Hsueh Yicheng","doi":"10.1504/IJSOI.2017.086577","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.086577","url":null,"abstract":"Fairness preference theory into the supply chain behaviour operation management is an important research direction. This paper introduces the equity preference to double channels supply chain. On the double channel conditions, the paper, respectively, discusses the supply members' order problem in two circumstances: no customer transfer and existing customers transfer. In the case of retailer domination, two cases are discussed: the one is the producers reserve product quantity for their own internet direct channel and the other one is the order quantity of retailers. Finally, through numerical analysis, the paper shows that fairness preference has the influence on the order quantity, and it is more suitable for producers to open the type of network marketing platform products, and the paper provides constructive guidance.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"313"},"PeriodicalIF":0.0,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSOI.2017.086577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43878063","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 : 2017-09-13DOI: 10.1504/IJSOI.2017.086572
N. A. Kurdhi, S. Aminah, D. R. S. Saputro
In this research, an integrated vendor-buyer inventory model with a random number of defective items under fuzzy random lead time demand is developed. The length of lead time affects the competitive abilities of a business directly and it can be controlled by adding a crashing cost. It is assumed that the lead time demand is normally distributed and the shortages are permitted, which are partially backlogged. In the model, lead time demand, annual demand rate, adjustable production rate, and backorder fraction are imprecise in nature and are represented by the triangular fuzzy numbers. Signed distance method is used to defuzzify the fuzzy total inventory cost. The objective is to determine simultaneously the optimal order quantity, the lead time, and the number of deliveries, which minimise the expected total average cost. An algorithm procedure of finding the optimal solution is developed. Furthermore, numerical example and sensitivity analysis are carried out to illustrate the proposed integrated model.
{"title":"Fuzzy random integrated vendor-buyer inventory model with imperfect-quality items and controllable lead time","authors":"N. A. Kurdhi, S. Aminah, D. R. S. Saputro","doi":"10.1504/IJSOI.2017.086572","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.086572","url":null,"abstract":"In this research, an integrated vendor-buyer inventory model with a random number of defective items under fuzzy random lead time demand is developed. The length of lead time affects the competitive abilities of a business directly and it can be controlled by adding a crashing cost. It is assumed that the lead time demand is normally distributed and the shortages are permitted, which are partially backlogged. In the model, lead time demand, annual demand rate, adjustable production rate, and backorder fraction are imprecise in nature and are represented by the triangular fuzzy numbers. Signed distance method is used to defuzzify the fuzzy total inventory cost. The objective is to determine simultaneously the optimal order quantity, the lead time, and the number of deliveries, which minimise the expected total average cost. An algorithm procedure of finding the optimal solution is developed. Furthermore, numerical example and sensitivity analysis are carried out to illustrate the proposed integrated model.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"263"},"PeriodicalIF":0.0,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSOI.2017.086572","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49263735","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 : 2017-09-13DOI: 10.1504/IJSOI.2017.10007650
Fang Zhao, Daolai Cheng
As present trends in economic and population growth continue, the natural environment is increasingly being stressed. More and more researchers, institutes and programs paid attention to Product-Service Systems (PSS) in the last decade because PSS integrates tangible artefact and intangible service to achieve sustainability, improve enterprise competitiveness and meet customer needs better. In order to respond to the transformation, this paper proposes the concept and approach of value co-creation for industrial PSS. In this paper, industrial product service is defined as service portfolio provided for satisfying customer's value demands based on sale of industrial product. Based on the discussion of value co-creation mechanism, a systematic solution to support the implementation of commerce management from different levels is proposed. Then the value co-creation process is discussed, which includes three cycles: 'value co-creation', 'ability development' and 'value realisation'. Finally, a case study is proposed to verify the feasibility and applicability.
{"title":"A value co-creation approach to industrial product-service systems","authors":"Fang Zhao, Daolai Cheng","doi":"10.1504/IJSOI.2017.10007650","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.10007650","url":null,"abstract":"As present trends in economic and population growth continue, the natural environment is increasingly being stressed. More and more researchers, institutes and programs paid attention to Product-Service Systems (PSS) in the last decade because PSS integrates tangible artefact and intangible service to achieve sustainability, improve enterprise competitiveness and meet customer needs better. In order to respond to the transformation, this paper proposes the concept and approach of value co-creation for industrial PSS. In this paper, industrial product service is defined as service portfolio provided for satisfying customer's value demands based on sale of industrial product. Based on the discussion of value co-creation mechanism, a systematic solution to support the implementation of commerce management from different levels is proposed. Then the value co-creation process is discussed, which includes three cycles: 'value co-creation', 'ability development' and 'value realisation'. Finally, a case study is proposed to verify the feasibility and applicability.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"290"},"PeriodicalIF":0.0,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43421683","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 : 2017-09-13DOI: 10.1504/IJSOI.2017.086587
Ankur Chauhan, Amol Singh
This study has been carried out to analyse and forecast the quantities of healthcare waste generated from the hospitals of Garhwal region of Uttarakhand, India. In this study, a suitable autoregressive integrated moving average (ARIMA) model has been developed, on the basis of different statistical parameters, for the forecasting of healthcare waste. The analysis of results on the basis of the statistical parameters such as adjusted R-square value, mean square error and mean absolute percentage error; the AR(1)MA(1) model has been found as the best ARIMA model for the forecasting of healthcare waste generation. The daily data of healthcare waste generation has been used to develop the ARIMA model in this study. The ARIMA model developed in this study would help the waste disposal firm to plan its waste collection and disposal strategy-related decisions in future.
{"title":"An ARIMA model for the forecasting of healthcare waste generation in the Garhwal region of Uttarakhand, India","authors":"Ankur Chauhan, Amol Singh","doi":"10.1504/IJSOI.2017.086587","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.086587","url":null,"abstract":"This study has been carried out to analyse and forecast the quantities of healthcare waste generated from the hospitals of Garhwal region of Uttarakhand, India. In this study, a suitable autoregressive integrated moving average (ARIMA) model has been developed, on the basis of different statistical parameters, for the forecasting of healthcare waste. The analysis of results on the basis of the statistical parameters such as adjusted R-square value, mean square error and mean absolute percentage error; the AR(1)MA(1) model has been found as the best ARIMA model for the forecasting of healthcare waste generation. The daily data of healthcare waste generation has been used to develop the ARIMA model in this study. The ARIMA model developed in this study would help the waste disposal firm to plan its waste collection and disposal strategy-related decisions in future.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"352"},"PeriodicalIF":0.0,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSOI.2017.086587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43428651","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 : 2017-01-16DOI: 10.1504/IJSOI.2017.10002474
Gai-lian Zhang
In this paper, aiming at conventional Ant Colony algorithm's defects and shortcomings, we introduce Genetic Algorithm to improve it. By the GA's reproduction, crossover and mutation operators, the ACA's convergence rate and global searching ability have a significant improvement. Besides, we improve the updating mode of pheromone to enhance the adaptability of ants, the ACA can automatic adjust pheromone residual degree when executing the algorithm for convergence. Besides, introducing a new deterministic searching method will accelerate the heuristic searching method rate. After the description of our improved algorithm, we do two groups of experiments, the results show that our proposed algorithm has a good effect on solving logistics distribution routing optimisation problem, compared with the conventional algorithm, our experiments are on large logistics distribution route sets, the results show that our improved algorithm can get the optimal solution rapidly and accurately, the results are more robust than conventional results.
{"title":"Solving route optimisation problem in logistics distribution through an improved ant colony optimisation algorithm","authors":"Gai-lian Zhang","doi":"10.1504/IJSOI.2017.10002474","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.10002474","url":null,"abstract":"In this paper, aiming at conventional Ant Colony algorithm's defects and shortcomings, we introduce Genetic Algorithm to improve it. By the GA's reproduction, crossover and mutation operators, the ACA's convergence rate and global searching ability have a significant improvement. Besides, we improve the updating mode of pheromone to enhance the adaptability of ants, the ACA can automatic adjust pheromone residual degree when executing the algorithm for convergence. Besides, introducing a new deterministic searching method will accelerate the heuristic searching method rate. After the description of our improved algorithm, we do two groups of experiments, the results show that our proposed algorithm has a good effect on solving logistics distribution routing optimisation problem, compared with the conventional algorithm, our experiments are on large logistics distribution route sets, the results show that our improved algorithm can get the optimal solution rapidly and accurately, the results are more robust than conventional results.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"218"},"PeriodicalIF":0.0,"publicationDate":"2017-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48305256","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 : 2017-01-16DOI: 10.1504/IJSOI.2017.10002471
Yue-ru Liu, Jianian Zhao, Tao Wang, Minghui Kang
As the most promising and emerging Web 2.0-based application, crowdsourcing has attracted considerable attention over the years, thus facilitating the connectivity and collaboration of societies. However, despite the continuous implementation, a common phenomenon exists, i.e. lack of trust among crowdsourcing participants. Such lack may result in a lower rate of contract signing. The purpose of this study is to identity cognitive and affective determinants of initiators' willingness to sign a contract towards trust, and to understand the process of trust model in determining the trust formation mechanism. Results indicate perceived accreditation, network externality, absorptive capacity, track record and social capital are important in forming initiators' trust towards crowdsourcing platforms and bidders, which in turn will promote their signing intention. This study is unique in that it applies trust theory to propose a crowdsourcing trust model that incorporates bidder- and platform-related variables as determinants to predict initiators' willingness to sign a contract.
{"title":"Understanding the mediating role of trust in explaining initiators' signing intentions on crowdsourcing platforms","authors":"Yue-ru Liu, Jianian Zhao, Tao Wang, Minghui Kang","doi":"10.1504/IJSOI.2017.10002471","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.10002471","url":null,"abstract":"As the most promising and emerging Web 2.0-based application, crowdsourcing has attracted considerable attention over the years, thus facilitating the connectivity and collaboration of societies. However, despite the continuous implementation, a common phenomenon exists, i.e. lack of trust among crowdsourcing participants. Such lack may result in a lower rate of contract signing. The purpose of this study is to identity cognitive and affective determinants of initiators' willingness to sign a contract towards trust, and to understand the process of trust model in determining the trust formation mechanism. Results indicate perceived accreditation, network externality, absorptive capacity, track record and social capital are important in forming initiators' trust towards crowdsourcing platforms and bidders, which in turn will promote their signing intention. This study is unique in that it applies trust theory to propose a crowdsourcing trust model that incorporates bidder- and platform-related variables as determinants to predict initiators' willingness to sign a contract.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"165"},"PeriodicalIF":0.0,"publicationDate":"2017-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48622568","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 : 2017-01-16DOI: 10.1504/IJSOI.2017.10002472
Tao Zhuo
This paper explains the relationship between knowledge management capability and human resource management system implementation, and answers the question of whether knowledge acquisition, conversion, application and protection management capabilities can affect human resource management system effective implementation or not in state-owned enterprises of China. Based on the influence model of knowledge management capability on human resource management system implementation, after reliability analysis, validity analysis and regression analysis, it can be concluded that improvement of knowledge management capability can promote implementation of human resource management system. Knowledge acquisition capability can impact economic effect of human resource management system implementation. Knowledge conversion capability can impact target function of human resource management system implementation. Knowledge application capability can impact technical performance of human resource management system implementation. Knowledge protection capability can impact the enterprise support of human resource management system implementation.
{"title":"Relationship between knowledge management capability and human resource management system implementation","authors":"Tao Zhuo","doi":"10.1504/IJSOI.2017.10002472","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.10002472","url":null,"abstract":"This paper explains the relationship between knowledge management capability and human resource management system implementation, and answers the question of whether knowledge acquisition, conversion, application and protection management capabilities can affect human resource management system effective implementation or not in state-owned enterprises of China. Based on the influence model of knowledge management capability on human resource management system implementation, after reliability analysis, validity analysis and regression analysis, it can be concluded that improvement of knowledge management capability can promote implementation of human resource management system. Knowledge acquisition capability can impact economic effect of human resource management system implementation. Knowledge conversion capability can impact target function of human resource management system implementation. Knowledge application capability can impact technical performance of human resource management system implementation. Knowledge protection capability can impact the enterprise support of human resource management system implementation.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"185"},"PeriodicalIF":0.0,"publicationDate":"2017-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43105500","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 : 2017-01-16DOI: 10.1504/IJSOI.2017.10002473
Ying Li, Yue Zhao, Hesi Pan, Zongli Zhang
Online consumer evaluation has been considered as an important medium for consumers to obtain product information and assisting in making purchasing decisions about related products. By collecting and analysing sales information of solid wood furniture and online consumer evaluations on Taobao, it can be found that the number of evaluations, the average word of evaluations and emotional tendency have significant influence on sales volume. The three influencing factors are chosen to make logistic regression analysis with the sales volume. It can be concluded that the high sales relates positively to the number of evaluations and the average word of evaluations, the average word of evaluations has a greater impact on sales. Finally, key recommendations were highlighted to help promote sales volume growth in e-commerce platforms and to build a favourable online shopping environment. This paper takes furniture as the research object, which is more targeted and of practical significance.
{"title":"Research on the influence of online consumer evaluations of solid wood furniture for product sales volume on Taobao","authors":"Ying Li, Yue Zhao, Hesi Pan, Zongli Zhang","doi":"10.1504/IJSOI.2017.10002473","DOIUrl":"https://doi.org/10.1504/IJSOI.2017.10002473","url":null,"abstract":"Online consumer evaluation has been considered as an important medium for consumers to obtain product information and assisting in making purchasing decisions about related products. By collecting and analysing sales information of solid wood furniture and online consumer evaluations on Taobao, it can be found that the number of evaluations, the average word of evaluations and emotional tendency have significant influence on sales volume. The three influencing factors are chosen to make logistic regression analysis with the sales volume. It can be concluded that the high sales relates positively to the number of evaluations and the average word of evaluations, the average word of evaluations has a greater impact on sales. Finally, key recommendations were highlighted to help promote sales volume growth in e-commerce platforms and to build a favourable online shopping environment. This paper takes furniture as the research object, which is more targeted and of practical significance.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"201"},"PeriodicalIF":0.0,"publicationDate":"2017-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45500078","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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