While there is a plethora of literature on IT Sourcing (ITS) strategy, little is known about the impact of large-scale agile frameworks on these strategies. Empirical evidence suggests that application of agile frameworks has an impact on governance and processes in large organisations including ITS strategies. Yet, the effects of such frameworks remain unrevealed. This research investigates the impact

Along with enterprise transformation, enterprise re-engineering is essential for maintaining the competitiveness of an enterprise. Enterprise re-engineering addresses (emergent) changes, re-organizing, outsourcing and re-aligning alike. Re-engineering itself has drawn traction in both academia and business. Most scholarly work in this area is confined to model-driven analysis, holistic frameworks for

With the rapid changes in the global business environment, enterprises face many risks for their supply chains. The development of blockchain technology (BCT), an emerging technology, could transform supply chain activities and provides an opportunity to mitigate supply chain risks (SCRs). However, there is a lack of guidance on this issue. Therefore, this study evaluates and prioritizes the impacts

Since online reviews have become an increasingly important information source for consumers to evaluate products during online shopping, many platforms started to adopt review mechanisms to maximize the value of such massive reviews. In recent years, the review tag function has been adopted in practices and leading the research of sentiment and opinion extraction techniques. However, the examination

Mobile technologies have dramatically increased the number of work-related interruptions. In many organizations, employees must remain accessible and respond to these technology-mediated (T-M) interruptions even after regular work hours. Thus, demands from work interruptions can spill over into workers’ evening and family time, entailing role stress. Ultimately, workers can shy away from using the

The implementation of augmented reality (AR) systems in production environments is associated with a variety of advantages, such as productivity gains, lower costs and reduced operating times. Despite these potential benefits, the lack of user acceptance due to issues such as privacy concerns constitutes a barrier to diffusion in workplace environments. In order to better understand the issues surrounding

The existence of different stakeholders in a system, the actual and potential contradictions that may not be identified, and the long-term consequences of each decision are significant challenges in the process of developing a system. Information technology-based services are among the systems that usually interact with users and have a significant impact on their environment. The present study attempts

Increasingly, universities across the globe are involved in collaborations at both national and international levels. In a nutshell, the collaborations are intended to expose students and academia to different environments, to facilitate enhanced teaching and learning, and research activities. However, many of the collaborative initiatives have not been successful, particularly at international level

O2O (Online to Offline) on-demand service platforms have grown significantly. With the intensive competition on platforms, effective promotion strategies are the key to the success of O2O stores. Given the specific features of O2O platforms and mobile apps, how different promotions strategies work remain a question. The study investigates the effectiveness of different promotion strategies and their

This study integrates consumer innovativeness (CI) and technological expertise (TE) in consumer attitudes and mobile commerce use (MCU) and introduces consumer consideration set size (CSS) as a moderator and a mediator of these relationships. Based on a survey sample of 577 Vietnamese consumers, it uses a structural equation modelling approach to test the hypotheses. The findings show that attitudes

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