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The great popularity of cloud services, together with the increasingly important aim of providing Internet context-aware services, has spurred interest in developing diverse agriculture applications. This paper presents a cloud-based service built by incrementally integrating state-of-the-art models of deep learning, photography, object recognition and the multi-functionalities of cloud services. This study consists of an object detection phase with a convolutional neural network (CNN) model, which involves enabling simultaneous image data gathered from drones. The experimental results show 97% accurate watermelon recognition. Our results also include a two-model comparison in the cloud-based service, with the main findings demonstrating the feasibility of developing accurate object recognition using a CNN model without the need for additional hardware. Finally, this study adopted a confusion matrix to validate the result with RetinaNet for recognizing images taken on the watermelon farm with an average precision in recognizing watermelon quantity of up to 98.8%.

Purpose In this era of smartphone applications, brands are actively developing applications to occupy the consumer’s mobile phone space, adding many practical functions to their applications to increase brand exposure or consumer interest in the brand. Augmented reality (AR) has evolved rapidly in the past decade because of technological breakthroughs, making AR no longer an untouchable technology, but one that can be easily used on almost every phone. Therefore, this study aims to combine extended customer experience with AR marketing activities to explain and predict usage and purchase intention. Design/methodology/approach The eight key factors integrated into the extended customer experience are used as environmental stimulation factors, and Wanna Kicks and FitGlasses are used as experimental environments. A total of 193 valid samples were collected from users with AR experience. The empirical data is processed and verified by partial least squares in this study. Findings Customer experience has received increasing attention in the field of marketing research. This study developed a model to evaluate the antecedents and consequences of AR marketing activities by systematically adding customer experience, continuance intention, purchase intention and customer engagement, and then linking them to the AR application environment. This study presents the academic and practical implications, which can provide future research directions and references for brand marketing strategies and AR applications. Originality/value This study adds interactivity, vividness, perceived usefulness and novelty to the extended concept of customer experience. Therefore, the authors proposed that the extended customer experience can be used to measure the perceptions related to AR applications. This study is expected to provide scholars and practitioners in AR fields with a better understanding of the causes and consequences of customer experience with innovative technologies and to suggest effective marketing recommendations.

Numerous firms accumulate large quantities of data or transactions after importing information systems and services, which leads to troubles with data procedure. Firms also have demands to find customers’ information from large datasets and to understand how to develop marketing strategies accurately to adjust their operational methods. Therefore, this study proposed customer ranking combined Big Data process based on the RFM model (Recency, Frequency, Monetary) to develop a recommendation algorithm using an association rule, which finds greater recommendation to promote operational effects of firms. We adjust the weight of potential information to perform the customer ranking, which is conducted by using agglomerate hierarchical clustering. Finally, we present the recommendation by the association rule for each customer level.The datasets in this study use actual sales data; therefore, they are authentic and have been practically applied. The metrics of evaluation showed that the recommended system his study proposes is highly accurate.

It is well known that the consistency of Internet celebrity affects consumers’ purchase intention, but there are few studies on the logic behind the influence. This study investigates the impact of Internet celebrity congruence factors (celebrity congruence with the recommended products and celebrity congruence with followers) on followers’ purchasing psychological states and purchase behaviors. The research model is rooted in congruence theory and social-network theory and we conducted an empirical study on Tiktok and IG followers of celebrities. Then, we used partial least squares structural equation modeling (PLS–SEM) to analyze 297 valid questionnaires. The results show the congruence of Internet celebrity with both followers and products promotes follower product adoption; the congruence does so by enhancing followers’ perception that the recommendations are credible, in turn increasing the followers’ confidence in, desire for, and motivation to buy the product. This study explains that the congruence of Internet celebrities with followers and products must be strongly present in the recommendation, which leads to a high credibility recommendation. A high credibility recommendation greatly influences consumers’ pre-purchase psychological states and thus enhance their purchase intention. This study demonstrates to practitioners that when consumers’ purchase intention is lower than expected, it is necessary to consider the credibility of the recommendation.

Many countries have recently witnessed the structure of their economies shift from industrial production to service-sector activities. In particular, this shift has characterised Taiwan’s economy, ...

Many nations have successfully implemented their own e-Government systems in response to changes in many subjective and objective environments. However, different government agencies now hold a tremendous quantity of client data and have encountered the challenge of how to effectively manage, analyze, and apply that data in order to improve service quality and customer satisfaction levels. In Taiwan, the National Health Insurance Administration (NHIA) is a state-run national health insurance agency and a nonprofit organization (NPO) responsible for managing health insurance affairs and improving healthcare quality for all people in Taiwan. In this study, we apply an integration of the Knowledge Discovery in Databases (KDD) process to analyze the call center data of the NHIA. We take the major processes of processing, selection, data mining, and, evaluation as our foundation for two types of data mining analyses: data sorting and data association. Furthermore, we generalize the analysis results and consult professionals in NHIA for their professional opinion about those results and existing health insurance policies. We also present, interpret, and draw conclusions from these results via data visualization. This visualized analysis can help NHIA decision makers quickly understand and reflect the public's needs and discover deeper client requirements to achieve the goal of upgraded public service quality and performance.

The financial crisis of 2007–2008 and the COVID-19 pandemic have caused many enterprises to suffer great losses. Thus, companies have to take measures such as pays cut, furloughs, or layoffs, which caused dissatisfaction among employees and triggered labor disputes. Therefore, this study explores the service-oriented organizational citizenship behavior based on the decomposed theory of planned behavior in order to understand the behavioral intentions of employees through their mental states, job attitudes, subjective norms, and perceived behavioral control. This study conducted questionnaire surveys for employees in different industries, collected 281 valid questionnaires, and applied Structural Equation Model for the analysis. The results show: (1) employees believe organizational justice in the organization is important, and when they feel treated fairly, their job attitudes and beliefs are enhanced. (2) Employees’ job attitudes and beliefs support service-oriented organizational citizenship behavior, in other words, they have positive job attitudes and beliefs and will actively provide better service to customers. (3) When employees are treated reasonably and fairly by the organization and have positive job attitudes (job satisfaction and organizational commitment) and perceived behavior control, their spontaneous service-oriented organizational citizenship behavior is stimulated, thus increasing organizational development.

The purpose of this article is to develop a research model examining the effects on relationship quality of a cloud service and to investigate the continuance intention of SaaS CRM (Software as a Service Customer Relationship Management) based on SaaS cloud service quality of service (SaaS-Qual) model. As basis theories, the study adopted service quality of SaaS and a post-acceptance model of IS continuance. The study also adds a relationship of quality as a moderate variance to validate the feasibility of cloud service. An online survey and a paper-questionnaire were used to collect data, and most respondents were experienced with using SaaS service for CRM for at least one year. The research causal model was validated by using SEM, and all eight study hypotheses were supported. These results indicate that relationship quality played an important role in influencing users' satisfaction and trust of SaaS's CRM service. High SaaS service quality could also increase users' intention to use cloud service continuously. SaaS CRM service providers should focus on enhancing relationship quality through motivational cloud service needs and SaaS CRM service features to increase user satisfaction and enhance levels of trust to promote continued use of SaaS service on the internet. This study contributes to a theoretical understanding of how relationship quality and cloud service can affect continuance intention.

Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers’ intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions’ influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS’ usage intention.

The Internet has come a long way over the past twenty years, and many Internet-era enterprises have had to face daunting challenges while trying to create innovative business models. Many types of Internet interactions can facilitate networking (e.g., The Web, Web services). Since the advent of the Internet, service requesters and service providers have generated diverse electronic services (e-services), and since 2003, many experts have proposed the concept of Web 2.0. People rely on Internet e-services to execute activities and meet requirements; however, e-services lack a standardization method for constructing and managing them. The current study presents a framework design and a comprehensive interface for e-service providers and requesters. The study adopts the concept of Web 2.0 by using Web services with related standards for developing the framework design. Specifically, the study uses semantic Web technologies to complete the construction of e-services. After that, Internet users can quickly and conveniently access the framework to obtain suitable e-services.

The Internet has come a long way over the past twenty years, and many Internet-era enterprises have had to face daunting challenges while trying to create innovative business models. Many types of Internet interactions can facilitate networking (e.g., The Web, Web services). Since the advent of the Internet, service requesters and service providers have generated diverse electronic services (e-services), and since 2003, many experts have proposed the concept of Web 2.0. People rely on Internet e-services to execute activities and meet requirements; however, e-services lack a standardization method for constructing and managing them. The current study presents a framework design and a comprehensive interface for e-service providers and requesters. The study adopts the concept of Web 2.0 by using Web services with related standards for developing the framework design. Specifically, the study uses semantic Web technologies to complete the construction of e-services. After that, Internet users can quickly and conveniently access the framework to obtain suitable e-services.

The Internet's widespread popularity and the ubiquity of the World Wide Web have revolutionized the face of business, especially in the telecommunications industry. With the emergence of business process management and of service-oriented architecture, the focus has shifted to the development of electronic services that integrate business processes and that diversify functionalities available to customers. Most of these worldwide telecom corporations have many kinds of operations support systems in the backend environment. In this research, we present a research framework, a collaboration model and a collaboration layer to describe the method of new generation operations systems and software. This research method achieves the desired properties of telecom e-services of business process management. Then, we use several illustrations to explain the generality of our method, and we focus on how international telecom corporations have become too concerned with the agility and the integration underlying e-services integration based on new generation operations systems and software. Copyright © 2012 John Wiley & Sons, Ltd.

Most of Enterprises have to face a competitive environment of business. Hence, they have to improve their service process for increasing competitive ability with others, but most of them lack electronic service (e-service) on the Internet. This research uses e-service to provide more service benefits when the user uses it via the Internet. It also integrates e-service resource and process, and then proposes a general platform for enterprise that uses Resource Description Framework (RDF), eXtensible Markup Language (XML) and web service. The general platform will provide e-service and process for business process management (BPM) that helps enterprise to reduce cost and enhances its performance. Due to there are many e-services on the Web in the future, which are provided by different providers or enterprises, this research also uses RDF to describe e-service, and uses e-service’s features and describes it by using RDF. We hope it could to reduce searching time, decrease costs, and enhance its’ performance.

The online services of B2B e-commerce have had to face a challenge resulting from the diverse services built on heterogeneous platforms that must work together in an integrated and seamless manner. Today, businesses have accumulated large numbers of online services that run and reside on a variety of environments. Furthermore, they have different workflows and operational support systems that need to interact with their legacy systems. The result has been chaotic and disruptive. We developed a new framework, artifact, and performance model with which to address this problem. A multi-agent e-service system was developed to cope with dynamics and upheaval. We used a customer-centric viewpoint with supply chains both upstream and downstream. An implementation was performed to determine problems in its development. Two simple live case studies were conducted to illustrate the model's feasibility and validity.

PurposeThis paper seeks to develop an ontological approach, in order to make it possible to share a common understanding of accounting theory, in this case, the specific structure of the profit and loss account among people or software agents.Design/methodology/approachThis paper presents an ontology methodology (the Net technique) which represents a semi‐structured element in the domain knowledge of accounting. More specifically, ontology will be used to explain the profit and loss account as a representation of the potential use of this methodology.FindingsTo support ontology effectively, a strong accounting information support system in the organization is necessary. The ontology may be used by employees to navigate the information repository of an organization for the effective coordination. In addition, it might be possible for the WWW to be used to generate data, information and knowledge in the accounting domain.Practical implicationsSoftware agents could extract and aggregate accounting information from numerous web sites, which in turn might answer research questions or be used as input data for other applications.Originality/valueThe development of ontology expands the researcher's ability to generate information by using search methods beyond simple keywords. If only keywords are used in internet searches, then information that is retrieved will often lack the precision necessary for generating quality information. Therefore, in order to retrieve quality information more quickly and accurately, a broader and more extensive ontology development is required.

Many data warehouse systems have been developed recently, yet data warehouse practice is not sufficiently sophisticated for practical usage. Most data warehouse systems have some limitations in terms of flexibility, efficiency, and scalability. In particular, the sizes of these data warehouses are forever growing and becoming overloaded with data, a scenario that leads to difficulties in data maintenance and data analysis. This research focuses on data-information integration between data cubes. This research might contribute to the resolution of two concerns: the problem of redundancy and the problem of data cubes' independent information. This work presents a semantic cube model, which extends object-oriented technology to data warehouses and which enables users to design the generalization relationship between different cubes. In this regard, this work's objectives are to improve the performance of query integrity and to reduce data duplication in data warehouse. To deal with the handling of increasing data volume in data warehouses, we discovered important inter-relationships that hold among data cubes, that facilitate information integration, and that prevent the loss of data semantics.

The evolution of and cloud computing over the past few years is potentially one of the major advances in the history of IT (Information Technology). Today, many organizations have been implemented information system to assist their daily operation and help it can do operation more efficient through improving information technology and communication technology. However, the management scope of organization is broader and business environment is harder to predict the competitive situation then before, it is not enough in implementing new information systems to assist these daily works. Therefore, the organization is trying to look for the suitable CRM service system provider and to expect the system can enhance their business process more flexibility as well as improving work more efficiency. For these reasons, this research utilizes SEE (Service Experience Engineering Approach) methodology, witch an rigorous development and design method of service, and combine with the SAAS-QUAL dimensions that integrate the SaaS of cloud computing and SERVQUAL scale to realize the design of customeri¦s service. Drawing on SEE methodology, this research has derived some major insights into how does customer demand of CRM service system to affect organizationi¦s business process? Furthermore, the analysis result shows that the factors of customeri¦s demand will affect the design of CRM service system providers.

This research aims to propose a universalframework and to model slight location-based services (LBS) design components, which are generated by UML.Furthermore, these components can be combined with a LBS process of design and then to execute process more efficiency ineach design stages of LBS. We use UML as our tool to model LBS components. The components are created by the diagrams of UML, with the characteristic of object-oriented technology,this research can be demonstrated by four concepts of UML diagrams, and present each dimensions of its concepts. Beside,LBS application is a trend while whole infrastructure has turned more mature in recent years, including locating technology, broadband network connectivity and inexpensivemobile devices with many location-based functions. Currently, most developing methods of LBS do not follow standard system developing methods, but the design of LBS becomesmore complicate, it's more important to propose a universal framework for developers to plan, design and maintain LBS systems with more efficient and agile methods. Most softwaredevelopers should have further understanding in designing LBS, in our proposed architecture, developers can design LBS, which is more suitable than developed LBS with traditionalmethod. Finally, the contribution of our research is to propose a universal designing architecture that combines the specificcharacteristic of LBS, and developer can to recruit the vital dimension in LBS designing process.

Currently, Most of Enterprises have to face a competition environment. Hence, they must improve their service process for upgrading competitive ability with others. If enterprise could invent innovative process that they lacks of electronic service process by internet. The enterprise would focus on strategic support application and they could get value for their customer service. The internal work processes of enterprise could be implemented by different electronic service based on the different service requests and each electronic service has specific service process but it had different function and process. Therefore, enterprise must be found service quickly that it will meets users need on the internet. The enterprise could be intergraded new and legacy system and don't waste on cost and labor cost for developing system. The service process information for the e-service environment is heterogeneous and distributed. In this paper, we will integrate e-service resource and process, then propose a general platform for enterprise that uses Resource Description Framework (RDF), eXtensible Markup Language (XML) and web service. The general platform will provide e-service and process for business process management (BPM) that helps enterprise to reduce cost and enhance its performance.

An excess of 40 million tons of electronic waste (e-waste) were disposed globally in 2008, including waste from personal computers, CRT monitors and cell phones. E-waste problem can be expected emergency but a dynamic complex problem because the recycling willingness of end-users may be influenced by various factors. This investigation attempts to develop a waste management model of personal computer recycling from a systematical perspective. The proposed model collects the influences variables from previous research to construct entire waste management process and adjust relative parameter from simulation result. The experimental results demonstrate above 90% accuracy rate and reveal some interesting finding such as the recycling delay time and recycling rate. The proposed model enables electronic producers to experience the entire PC recycling cycle through a systematic perspective, and enables the government to simulate recycle refund policy before actual implementation.

In the past, electronic commerce only focused on customer-to-business web interaction and on business-tobusiness web interaction. With the emergence of business process management and of service-oriented architecture, the focus has shifted to the development of e-services that integrate business processes and that diversify functionalities available to customers. The potential of electronic commerce and its information technology also has attracted some telecommunication corporations—for example, Chunghwa Telecom, Singtel Telecom, and AT&T. They have built their electronic commerce environment on the Internet, too. Most of these worldwide telecom corporations have many kinds of operations support systems in their backend environment. In the past, enterprises had to integrate their telecom services manually, so that they could work together. However, this integration required considerable time and cost, and it worked only for the specific services that were manually linked. Adding additional services required even more effort. And then, enterprise application integration (EAI) solved these kinds of problems by working via point-to-point interfaces. In this paper, we present a research framework to describe the method. Then, we use two illustrations to explain the generality of our method, and we focus on how international telecom corporations have become concerned with the agility, the leanness, and the integration underlying electronic services (e-services) integration with enterprise application interface technology.

The potential of electronic commerce and its information technology also has attracted some telecommunication corporations-for example, Chunghwa Telecom, Singtel Telecom, and AT&T. They have built their electronic commerce environment on the Internet, too. Most of these worldwide telecom corporations have many kinds of operations support systems in the backend environment. In the past, enterprises had to manually integrate services so that they could work together. However, this integration required considerable time and cost, and it worked only for the specific services that were manually linked. Adding additional services required even more effort. And then, enterprise application integration (EAI) solved these kinds of problems by working via point-to-point interfaces. In this paper, we present a research framework to describe the method. Then, we use two illustrations to explain the generality of our method, and we focus on how international telecom corporations have become concerned with the agility, the leanness, and the integration underlying electronic services integration with enterprise application interface technology.

Recently, the graphic interfaces are so friendly, and the vast multimedia information is growing so quickly. The studying of multimedia database is becoming a major class. Let the users can find the pictorial that they desired efficiently is the target of this research. There are two kinds of features embedded in the picture: the visual feature and the relationship feature. The visual feature includes color, texture and shape of objects. The relationship feature is the spatial relationships among the objects. In the studying of spatial relationship, previous related works all focus on the directional relationship, as 2D-String, 2D C-String and 2D-PIR, etc. In this research, we show that the distance is an important factor of spatial relationship. We propose a new representation to embed the distant relationship among objects. We also develop a new similarity measurement function and retrieval method based on our new representation. We use the Rnorm measure to evaluate the quality of our similarity measurement method. We find that our new representation can work well in distant and directional relationship. The similarity retrieval method based on our new representation is more efficient and flexible for userpsilas request.

In the past, many telecommunications corporations implemented fewer functionalities on the internet, and most of these corporations used traditional development methods to implement telecom services for their customers. These behaviours provide lower Quality of Service (QoS) and monotonous added-value services to their customers, because these corporations cannot provide a suitably high quality mobile environment. Today, 3G technology can provide faster transmission rates and more diverse added-value services to the customers. This emerging mobile technology is helping to construct ubiquitous computing services. We present a service-oriented architecture framework that supports ubiquitous electronic services and adjusts telecommunications business processes.

This research presents an e-service process model for trouble-management operations in a large scale telecom corporation. The model meets the problem-handling readiness of Enhanced Telecom Operations Map. In the past, trouble-management operations in telecommunications provided passive information to clients and lacked real-time active information for customers. Hence, for this study, we have considered composite services to realise our proposal and have tried to use web service techniques to implement a new generation of trouble-management operations in telecom corporations. There are several stages to this research. Finally, this research compares functionalities and performance between legacy and new generation of trouble-management operations.