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Journal articles on the topic 'E-Commerce, workflow'
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1
Wu, Xiu Guo. "Resource Representation in Migrating Workflow System Modeling." Advanced Materials Research 424-425 (January 2012): 709–12. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.709.
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Workflow is a critical enabler for achieving enterprise competitiveness with today’s hot technologies, as portals, e-business and e-commerce. Workflow modeling is the first step before workflow executes, and resources can become important decision factors. The lack of resources can cause contention, the need for some tasks to wait for others to complete, and the slowing down of the accomplishment of larger goals. In this paper, we discuss the resource model in workflow system, and define the resource-constrained model. The main merit of resource model is that it bridges the gap between the human and the machine level problem solving.
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Xin, Hai Tao. "Application of Workflow Management Systems in E-Services." Applied Mechanics and Materials 182-183 (June 2012): 906–9. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.906.
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Workflow management systems, a relatively recent technology, are designed to make work more efficient, integrate heterogeneous application systems, and support inter-organizational processes in electronic commerce applications. This paper presents an infrastructure and a mechanism for achieving dynamic Inter-enterprise workflow management using e-services provided by collaborative e-business enterprises. E-services are distributed services that can be accessed programmatically on the Internet, using SOAP messages and the HTTP protocol. In this work, we categorize e-services according to their business types. E-service requests are specified in the activities of a process model according to some standardized e-service templates and are bound to the proper service providers at run-time by using a constraint-based, dynamic binding mechanism.
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Liu, Chang, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, et al. "Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13865–66. http://dx.doi.org/10.1609/aaai.v34i10.7205.
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There is an emerging trend for sellers to use videos to promote their products on e-commerce platforms such as Taobao.com. Current video production workflow includes the production of visual storyline by human directors. We propose a system to automatically generate visual storyline based on the input set of visual materials (e.g. video clips or still images) and then produce a promotional video. In particular, we propose an algorithm called Shot Composition, Selection and Plotting (ShotCSP), which generates visual storylines leveraging film-making principles to improve viewing experience and perceived persuasiveness.
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Zhang, Lin Lan, Qing Liu, and Hua Ming Gui. "An Automated Bilateral Negotiation about Price and Quantity in E-Commerce." Applied Mechanics and Materials 411-414 (September 2013): 2219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2219.
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Automated negotiation about price and quantity is increasingly common in e-commerce. This paper presents an automated bilateral negotiation conducted by labor-saving and emotion-free autonomous agents. An automated negotiation may alleviate the difficulties inherent in human negotiations. To avoid a deadlock in which both agents are unwilling to concede may arise in the traditional alternating-offer pattern, a mediator agent is introduced. After outlining the negotiation workflow, we aim to analyze the correlation of price and quantity in a bilateral negotiation in different situations; then propose the negotiation methods how negotiate price and quantity for different situations. We hope the research can offer the guide for applying the proposed method to the e-commerce.
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SHAIKH, SHAZIB E., and NIKOLAY MEHANDJIEV. "GENERAL STRATEGY SUPPORT IN SOFT E-BUSINESS PROCESS NEGOTIATION." International Journal of Cooperative Information Systems 19, no. 03n04 (September 2010): 121–57. http://dx.doi.org/10.1142/s0218843010002127.
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If the purpose of a commercial negotiation is composition of business-to-business e-commerce processes (e-business processes), do any unique decision-support demands arise when using an electronic negotiation (e-negotiation) system? What is the answer when human-driven e-business process negotiation (eBPN), specifically, becomes a necessity? Workflow research already specifies certain tools that allow collaborative design of workflow models by multiple parties. But this paper goes beyond this to describe how peculiar decision-support demands also arise for the negotiation of the other, more "general", terms of such an eBPN contract. It also shows how existing e-negotiation tools lack holistic support for the interplay between "workflow-specific" and "general" strategy. Given this critical gap, this paper presents the "general" strategy-support (GSS) segment of our wider project: "Soft E-business Process Negotiation Approach" (SEPNA). Novel use of multi-criteria decision-making methods in the workflow composition domain and holistic support of the general strategy-support requirements combine as two of its key distinctions vis-à-vis alternative approaches. It specifies re-usable design prescriptions to address this gap, formalized primarily as an object model. Technical feasibility and contribution significance are shown by executing a set of previously unsupported eBPN scenarios on a prototype implementation of these prescriptions.
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Wu, Min. "Optimization of E-Commerce Supply Chain Management Process Based on Internet of Things Technology." Complexity 2021 (May 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5569386.
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The widespread use of Internet technology has changed people’s traditional life mode and created a new market transaction mode, namely, e-commerce platform. The Internet of Things can carry out real-time monitoring and management of any product in e-commerce and not only can realize information sharing in commercial activities but also can play a greater role in the protection of personal and enterprise information security. In this context, the efficiency and low cost of information flow, cash flow, logistics, and human resources among enterprises are particularly important. The Internet of Things technology is a means to effectively improve and optimize the operation mode of the supply chain. This paper analyzes the status of traditional supply chain management, which discusses the development of a supply chain management based on the Internet of Things technology. Finally, this paper analyzes how to realize the optimization strategy of e-commerce supply chain management based on the Internet of Things technology, which provides strong support for the informatization of e-commerce supply chain management. Through the application of the Internet of Things technology, small- and medium-sized enterprises can optimize the workflow and circulation links of the e-commerce supply chain management, enhance the matching level of product value and information transmission, improve the supply chain operation mechanism, and increase economic benefits.
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Siyanbola, Afeez Babatunde, and Akinmoye Oluwambe. "Redesigning the User-Interface: The Use of Colours in nopE-Commerce Enterprise Software." SCHOLARS: Journal of Arts & Humanities 3, no. 2 (August 28, 2021): 1–12. http://dx.doi.org/10.3126/sjah.v3i2.39414.
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This paper appraises the relevance of e-commerce enterprise software in contemporary business management. Enterprise packages are technological applications that automate business activities and improve efficiency in the business workflow. The study enunciated the critical role of administrating the backend of enterprise software to manage the front-end which is accessible to users. The user interface of e-commerce enterprise backend is essential in enhancing user’s performance on the software. The study explores the psychological and physiological properties of colours in redesigning the nopE-commerce enterprise software for the backend user interface to enhance the efficiency of the administrators. The objectives of the study are to download the existing the backend of nopE-commerce enterprise software, to recreate the backend of nopE-commerce enterprise software and to introduce colours into the redesigned user interface backend of nopE-commerce enterprise software. The redesigned user-interface was subjected to the evaluation of one hundred (100) selected back-end administrators working in Lagos. The responses of participants were analysed using the 5-point Likert Scale to generate mean results. The results indicated that colours stimulate actions and feelings, user interface colours in virtual environment determines the efficiency of the system and the creative interplay of orange and blue colour in e-commerce back-end user interface enhances the performance of backend managers.
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Li, Ming, Leidi Shen, and George Q. Huang. "Blockchain-enabled workflow operating system for logistics resources sharing in E-commerce logistics real estate service." Computers & Industrial Engineering 135 (September 2019): 950–69. http://dx.doi.org/10.1016/j.cie.2019.07.003.
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Rangra, Abhilasha, Vivek Kumar Sehgal, and Shailendra Shukla. "A Novel Approach of Cloud Based Scheduling Using Deep-Learning Approach in E-Commerce Domain." International Journal of Information System Modeling and Design 10, no. 3 (July 2019): 59–75. http://dx.doi.org/10.4018/ijismd.2019070104.
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Cloud computing represents a new era of using high quality and a lesser quantity of resources in a number of premises. In cloud computing, especially infrastructure base resources (IAAS), cost denotes an important factor from the service provider. So, cost reduction is the major challenge but at the same time, the cost reduction increases the time which affects the quality of the service provider. This challenge in depth is related to the balance between time and cost resulting in a complex decision-based problem. This analysis helps in motivating the use of learning approaches. In this article, the proposed multi-tasking convolution neural network (M-CNN) is used which provides learning of task-based deadline and cost. Further, provides a decision for the process of task scheduling. The experimental analysis uses two types of dataset. One is the tweets and the other is Genome workflow and the comparison of the method proposed has been done with the use of distinct approaches such as PSO and PSO-GA. Simulated results show significant improvement in the use of both the data sets.
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Ezekiel, Kanana, Vassil Vassilev, Karim Ouazzane, and Yogesh Patel. "Adaptive business rules framework for workflow management." Business Process Management Journal 25, no. 5 (September 2, 2019): 948–71. http://dx.doi.org/10.1108/bpmj-08-2017-0219.
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Purpose Changing scattered and dynamic business rules in business workflow systems has become a growing problem that hinders the use and configuration of workflow-based applications. There is a gap in the existing research studies which currently focus on solutions that are application specific, without accounting for the universal logical dependencies between the business rules and, as a result, do not support adaptation of the business rules in real time. The paper aims to discuss this issue. Design/methodology/approach To tackle the above problems, this paper adopts a bottom-up approach, which puts forward a component model of the business process workflows and then adds business rules which have clear logical semantics. This allows incremental development of the workflows and semantic indexing of the rules which govern them during the initial acquisition. Findings The paper introduces an event-driven model for development of business workflows which is purely logic-based and can be easily implemented using an object-oriented technology, together with a model of the business rules dependencies which supports incremental semantic indexing. It also proposes a two-level inference mechanism as a vehicle for controlling the business process execution and the process of adaptation of the business rules at real time based on propagating the dependencies. Research limitations/implications The framework is strictly logical and completely domain-independent. It allows to account both synchronous and asynchronous triggering events as well as both qualitative and quantitative description of the conditions of the rules. Although our primary interest is to apply the framework to the business processes typical in the construction industry we believe our approach has much wider potential due to its strictly logical formalization and domain independence. In fact it can be used to control any business processes where the execution is governed by rules. Practical implications The framework could be applied to both large business process modelling tasks and small but very dynamic business processes like the typical digital business processes found in online banking or e-Commerce. For example, it can be used for adjusting security policies by adding the capability to adapt automatically the access rights to account for additional resources and new channels of operation which can be very interesting ion both B2C and B2B applications. Social implications The potential scope of the impact of the research reported here is linked to the wide applicability of rule-based systems in business. Our approach makes it possible not only to control the execution of the processes, but also to identify problems in the control policies themselves from the point of view of their logical properties – consistency, redundancies and potential gaps in the logics. In addition to this, our approach not only increases the efficiency, but also provides flexibility for adaptation of the policies in real time and increases the security of the overall control which improves the overall quality of the automation. Originality/value The major achievement reported in this paper is the construction of a universal, strictly logic-based event-driven framework for business process modelling and control, which allows purely logical analysis and adaptation of the business rules governing the business workflows through accounting their dependencies. An added value is the support for object-oriented implementation and the incremental indexing which has been possible thanks to the bottom-up approach adopted in the construction of the framework.
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Gong, Song Jie. "Study of Personalized Information Filtering System Based on Multi-Agent." Advanced Materials Research 267 (June 2011): 913–17. http://dx.doi.org/10.4028/www.scientific.net/amr.267.913.
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The growth of Web information resources leads the phenomenon of information overload and resources disorientation. In order to adapt to the existing recommendation system dynamically changing needs of e-commerce sites, provide users with more proactive, intelligent adaptive personalized product recommendation service, and achieve truly reflect the "information to look for" service model, in this paper, a personalized information filtering system based on multi-agent is presented. The filtering system architecture, agent parts, workflow design are given too. The system will recommend a variety of functional modules in the system can be constructed to take the initiative to customer service and a problem solving environment in self-run entity. This system allows the application of the traditional recommendation system is more malleable, autonomy, and more suitable for the needs of users in a dynamic, uncertain environment to use.
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Donati, Luca, Eleonora Iotti, Giulio Mordonini, and Andrea Prati. "Fashion Product Classification through Deep Learning and Computer Vision." Applied Sciences 9, no. 7 (April 2, 2019): 1385. http://dx.doi.org/10.3390/app9071385.
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Visual classification of commercial products is a branch of the wider fields of object detection and feature extraction in computer vision, and, in particular, it is an important step in the creative workflow in fashion industries. Automatically classifying garment features makes both designers and data experts aware of their overall production, which is fundamental in order to organize marketing campaigns, avoid duplicates, categorize apparel products for e-commerce purposes, and so on. There are many different techniques for visual classification, ranging from standard image processing to machine learning approaches: this work, made by using and testing the aforementioned approaches in collaboration with Adidas AG™, describes a real-world study aimed at automatically recognizing and classifying logos, stripes, colors, and other features of clothing, solely from final rendering images of their products. Specifically, both deep learning and image processing techniques, such as template matching, were used. The result is a novel system for image recognition and feature extraction that has a high classification accuracy and which is reliable and robust enough to be used by a company like Adidas. This paper shows the main problems and proposed solutions in the development of this system, and the experimental results on the Adidas AG™ dataset.
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Kirillov, N. N., and A. S. Nikolaev. "On the Issue of Non-traditional Ways of Commercializing Office Photographic Works." Economics Law Innovaion, no. 2 (June 30, 2021): 63–69. http://dx.doi.org/10.17586/2713-1874-2021-2-63-69.
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The authors have analyzed the existing approach to the fight against unscrupulous Internet trade players, most often online stores, based on filing claims to the court for the protection of exclusive rights to a trademark posted on the In-ternet against the owners of unscrupulous online stores. As a result of the analysis of judicial practice, the authors iden-tified certain shortcomings of the existing approach, the main of which is the circumstances associated with the exhaustion of exclusive rights to a trademark. On the basis of practical activities, the authors proposed a new approach to protecting the intellectual rights of manufacturers of goods based on the paperwork of photographs of goods as official photographic works. The authors analyzed the judicial practice on the use of the developed approach, as a result a high percentage of successful resolution of cases by the rightsholder was revealed, the main circumstances to be proved in the category of cases under consideration were identified, and recommendations were made to improve the workflow on the creation and use of official photographic works. It should be noted that the use of photographic works as objects of intellectual property, manufacturers of original goods, allows to successfully combat unscrupulous online stores, which is especially important in modern conditions of e-commerce.
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Kiseleva, E. G. "The Impact of Digital Transformation on the Investment Potential of the Russian Cities." Finance: Theory and Practice 24, no. 5 (October 24, 2020): 72–83. http://dx.doi.org/10.26794/2587-5671-2020-24-5-72-83.
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The digital transformation of all socio-economic spheres of the country determines the inclusion of digital factors in the assessment of investment potential. The aim of this paper is to justify the need to include digital factors in assessing the investment potential and the assessment of the digital potential of St. Petersburg. The study includes statistical methods of correlation analysis, average values, comparison, and grouping. This paper defines the concept of digital potential; highlights indicators of digital technology development; presents a methodology and assessment of the digital capacity of St. Petersburg compared with other cities of federal status through 2016–2018. The author features three key components of digital potential: information and communication technology (ICT) infrastructure, digital government, and e-business. The study shows that St. Petersburg’s digital potential is sustainably growing. The research reveals that the digital capacity of St. Petersburg is improving by boosting the “e-business” component which reflects the use of ERP and CRM systems by organizations, as well as by the e-commerce. The low level of the “digital government” component has a negative effect on the integral level of digital potential despite the ongoing digitization process in the public sector services. The conclusions of the study suggest that the use of digital channels to interact with public authorities, the digitization of businesses, as well as the implementation of electronic workflow processes will improve the digital potential of St. Petersburg. Taking digital factors into account as a part of the investment potential of a city will make it possible to accurately assess its investment attractiveness. The findings of the study may be useful to scientists, rating agencies, and government officials when making investment decisions. The prospects for future research on this topic consist of expanding its base, clarifying the components of the digital potential factors, and methods for assessing the investment attractiveness of a territorial entity.
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Du, YuYue, ChangJun Jiang, MengChu Zhou, and You Fu. "Modeling and monitoring of E-commerce workflows." Information Sciences 179, no. 7 (March 2009): 995–1006. http://dx.doi.org/10.1016/j.ins.2008.11.025.
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Speers, Vanessa. "Development of the CCRU kit squad: Centralization of biospecimen “kit” management." Journal of Clinical Oncology 36, no. 30_suppl (October 20, 2018): 295. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.295.
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295 Background: Personalized medicine has resulted in a rapid increase in biospecimens collection. Each biospecimen collected requires supplies that are provided in the form of “kits”. The number of kit types per protocol ranges anywhere from 2-60, with an average of 30 different kit types per trial. Historically, each trials nurse has managed their own kits resulting in large amounts of nursing time being spent on kit management. Kits took up a large amount of space in clinical areas, including expired kits, and they were being managed in no standardized fashion. Due to rapidly increasing biospecimen volumes, existing methods of kit management were no longer feasible and the CCRU Kit Squad was developed. Methods: Over the course of 12-mos, an extensive assessment of current kit management practices were reviewed with all disease site groups, including workflows and quantities utilized. An e-commerce software platform was selected, and semi-customized to centralize online ordering and receiving of kits, and the creation of a central location was setup for kit storage and daily operations. On-boarding of each group included retrieving existing kits from each nurse, uploading kits to the software, training each nurse to use the software, setting up accounts with each respective vendor for deliveries and re-supply, and disposing of expired kits. Results: Disease site groups were transitioned to the CCRU Kit Squad stepwise from Oct 2016 to Dec 2017 (15-mos), which included 80 nurses, 16 disease site groups, and over 400 clinical trials. By the end of 2017, the average number of kits ordered per day, and per month were 33 and 1003, respectively. Conclusions: The CCRU Kit Squad developed a centralized online service for kit management, thereby reducing administrative burden on clinical trial nurses. It has streamlined the management of biospecimen kits, eliminated wasted space in clinical areas, and facilitated the selection of the right kit for the right test at the right time.
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Pizhuk, Olha, and Vasil Muraviov. "DIGITALISATION OF THE NATIONAL ECONOMY: ECONOMIC AND SOCIAL CONSEQUENCES." Economic scope, 2020. http://dx.doi.org/10.32782/2224-6282/163-10.
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The article examines the positive effects and negative consequences of the digital transformation of the national economy in terms of waves of technological progress and the spread of innovation. It is determined that the development of the digital economy is the most obvious result of the wave-like nature of digitalization. A three-sector model of the digital economy is proposed, where the primary sector is its core and includes fundamental innovations (semiconductors, microprocessors), basic technologies (computers, telecommunications devices), stimulating infrastructure (Internet and telecommunications networks); the secondary sector includes services based on basic digital technologies, including digital platforms, mobile applications, and electronic payment systems; tertiary – a digital economy based on a wide range of digital products and services, including e-commerce and new activities or business models that are transformed as a result of digital technologies. A system of indicators has been formed that provides a quantitative interpretation of the economic and social consequences of the process of the digital transformation of the national economy. Such an assessment will help to understand the potential impact of digital transformation on economic growth, which is often uneven, both within the country and between countries with different levels of socio-economic development. This impact was considered in several parameters, including labor productivity, gross domestic product, value-added, employment, as well as for various components of the digital economy. Emphasis is placed on the fact that the net impact on the overall economy is difficult to assess mainly due to the imperfection of existing methods of assessing the digital economy. It was found that the most threatening consequences of the digital transformation are labor displacement, as the exponential change in technology leads to the use of robots, autonomous vehicles, sensors, artificial intelligence, the Internet of Things, changing the workflow towards greater flexibility with the predominant use of temporary labor. The types of work organizations that are likely to be part of the working ecosystem for at least the next 10 years are described.