The realisation of citizen-centric services in the public sector requires breaking traditional silos and transforming existing institutional structures and processes. Recent transformation efforts undertaken in government institutions have embraced business process re-engineering (BPR) concepts championed by the private sector over decades ago to facilitate such change. While public opinion continues

A correction to this paper has been published: https://doi.org/10.1007/s10257-013-0220-5

The processing of time series data is the key technical field of financial data analysis. With the continuous development of computing science, deep learning has a revolutionary impact on the traditional computing model. Among them, the generative adversarial nets GANs has achieved desirable results in the field of data generation. Revolving around the conditional generative adversarial nets cGANs

With the progress of science and technology and the rapid development of artificial intelligence, major import and export enterprises often introduce it system to process orders, but employees will have various problems in the use of the system, which will affect work efficiency. It service management system needs to be set up in the enterprise to deal with the daily IT problems of employees, reduce

Matching subsidies, through which third-party institutions provide a dollar-for-dollar match of private contributions made through selected campaigns, have served as effective tools to boost fundraising. We utilize a quasi-experiment on a prosocial crowdfunding platform to examine the effectiveness of matching subsidies in shaping funding outcomes and lender behaviors. Although matching subsidies offer

The level of viral diffusion expected after a technology product or service is launched is important for determining the marketing budget, forecasting revenue, and understanding the resources necessary to manufacture and/or support the technology. Based on a review of academic and industry literature, this study proposes the “Comprehensive Framework of Viral Technology Diffusion—Stages and Factors

We investigate how government subsidies affect pricing and service-quality strategies under different online-recycling channel structures. We consider two cases: the monopoly case, where the manufacturer recycles by itself, and the coopetition case, where a platform and the manufacturer compete for used products while the platform provides services to the manufacturer. We find the optimal price and

Purpose The aim of the article is to present a framework enabling the quick and practical assessment of the nature of business processes, necessary to select business process management (BPM) tools and methodologies in accordance with the actual nature of BPs in the organization. The lack of such compliance reduces or delays the results, or it can even cause the failure of BPM implementations. To avoid

The digital economy has brought about multi-sided platforms as superior configurations for value co-creation. However, the academic discourse on platforms is scattered across academic disciplines—including management, information systems, and economics. Based on a systematic literature review of 140 papers from nine disciplines, we inductively develop a framework that provides a conceptual point of

In the era of big data, aiming at the problem of health data acquisition and processing in modern hospital information management, this paper analyzes and realizes the auxiliary role of big data and e-business in modern hospital health management. Based on machine learning, this paper analyzes hospital health service systems and proposes a detailed management plan that changes the systems from fragmented

This paper focuses on the increasing competition between resale opportunities for heterogeneous items with limited demand, i.e. long-tail products. This paper examines if commercial dealers offer higher purchase prices than purchase prices fixed in public auctions. To analyze this issue, we review options for customers to resell their belongings online after use. We use a proprietary software system

At present, the efficiency of electronic technology is minimized the improper funding system which decreases the growth of information technology. Hence, in this research, an optimized financial model has been designed and developed step by step based on an e-commerce assisted framework of operational research (ECFOR). The use of the e-commerce platform has been integrated throughout life and a discussion

The effectiveness of e-commerce strategic planning determines whether e-commerce can achieve the expected goals and performance. Technology adoption has become the main research idea for research organizations to adopt e-commerce, but the study of strategic planning process is still in its infancy. Construct a supervised machine learning model with strong generalization ability to solve the decision

This article analyzes the factors that affect business strategy. Based on the deep learning algorithm, we obtain a three-dimensional analytical framework of business strategy portfolio from the perspective of policy tools, policy objectives, and policy strength. It measures the characteristics of the business strategy portfolio from three aspects of comprehensiveness, consistency, and balance, and

According to the current situation and future trend of e-commerce investment market research at home and abroad, combined with the established research objectives, this paper studies and analyzes the existing methods of investment quality evaluation. This paper puts forward the modeling idea of the evaluation index system of investment decision quality, and takes the deep neural network as the modeling

When traditional enterprise software vendors adapt to software as a service (SaaS) practices and evolving to cloud service models, there is a major change occurring in the enterprise: a new hybrid product strategy consists of on-premises software and competitive customized SaaS. For the first time, we build a stylized model to reveal the influence of SaaS customization on the decisions of monopoly

Context Big Data Analytics is a rapidly emerging IT practice whose applications offer benefits for a wide variety of business areas across an organisation. Given the wide scope of applications, the many types of processing involved, including those for purposes not yet foreseen, and the inherent privacy concerns resulting from collecting and storing personal data, the newly introduced General Data

On the basis of large-scale literature research, the evaluation and element model for the successful implementation of e-commerce are established, and the key elements (customer, strategy, leadership, technology) and the evaluation elements (system quality, system quality, information quality, service quality) affect the success of e-commerce. First, learn the effective features of the items from the

Out of commercial interests, merchants will hire professional writers to write good reviews for their products or write bad reviews for competitors, which has a serious adverse impact on the ecological development of e-commerce platforms. This article uses the feature set of product reviews as an entry point, and uses a deep-confidence network algorithm based on deep learning to analyze and identify

Decision support systems (DSS) have evolved significantly since the past 50 years. The existing bouquet of DSS contributions offering the prevalent emphasis and future orientations of the field also point towards several shortcomings. The existing conceptualizations of DSS offer a fragmented portrayal of the field, with a demarcation of the academia and the industry. The literature also presented a

In the original publication of the article, the below mentioned references and its citations were missed.

Literature has highlighted the need for an alignment framework to support enterprise architects to align the development process of EA with the stakeholders’ goals. Hence, this study developed an alignment framework to align the EA development process with the stakeholders to produce an agreed architecture. Multiple Perspectives Theory (MPT) was used to develop an initial research model that provided

Chatbots have become popular in recent years as a means of supporting a company’s external communication with customers, but they are also increasingly being used for internal purposes, especially to improve and accelerate workflows. Along these lines, recent studies have suggested that chatbots can also be applied to other internal business practices, such as innovation management. Nevertheless, the

Existing information systems research thoroughly explains how task-technology fit and appropriation affect performance on an individual or group level. This was appropriate for many years, as technology is typically used to fulfill a certain task on these levels. Today, however, companies are tightly interconnected and rely on business networks to develop, produce, and deliver products and services

Information and communication technology has altered businesses’ operations, with a host of established and new banks launching online banking products and services. Banks encourage their customers to use online banking facilities because these facilities reduce transaction costs, improve customer retention, increase the customer share of wallet, and enhance customer services. Many customers also prefer

Social Customer Relationship Management (CRM) is a new paradigm in e-business environment that enables businesses to collaboratively manage customer expectations via social technologies. It combines the capabilities of social media with traditional CRM software in order that businesses better engage their customers. Implementation of social CRM systems continues to drive changes in organizations; however

Consumer reviews are an invaluable aid for businesses in obtaining consumers’ feedback to facilitate their marketing campaigns. However, the rapidly increasing number of consumer reviews makes it difficult for businesses to obtain a comprehensive view of consumer opinions about their products, especially about the highlighted product features. This study presents a framework to provide an understanding

In the course of digitization in healthcare, personal health records (PHRs) are handled as a key solution. Despite the indisputable benefits, the adoption of PHRs is hampered by data security and data privacy concerns. Blockchain technology offers promising potential to address these issues by enabling secure transactions of sensitive data. With regards to PHRs, the blockchain can be used to manage

Artificial intelligence seems to be all pervasive and slowly has become an integral part of commercial entities. However, there needs to be an approach that can integrate human and machine interaction and make it a sustainable implementation. Using framework developed by Mohapatra (2019), we find that such parameters that can improve physical interactions with humans and domain processes. This article

Shadow IT describes covert/hidden IT systems that are managed by business entities themselves. Additionally, there are also overt forms in practice, so-called Business-managed IT, which share most of the characteristics of Shadow IT. To better understand this phenomenon, we interviewed 29 executive IT managers about positive and negative cases of Shadow IT and Business-managed IT. By applying qualitative

This paper presents the significant problem of so called shelf-warmers in the environment of electronic commerce. In the first part of the paper, the factors that have led to an increasing stock of shelf-warmers in online stores are discussed. These factors are divided into two groups: those that occur mainly in an online store environment and those not specifically associated with an online environment

When attempting to solve a problem, humans call upon cognitive resources. These resources are limited, and the degree of their utilisation is described as cognitive load. While the number of parameters to be taken into account and to be processed by modern-day knowledge workers increases, their cognitive resources do not. Research shows that too high a load can increase stress and failure rates and