In this research, we evaluate the moderating role of personality on enjoyment and attention associated with a gamified data collection instrument, and the attractiveness of a surveying organization. In an online experiment, we compare a gamified survey with a traditional survey. The results suggest that gamified surveys are more enjoyable and users are more attentive when filling out gamified surveys

Modern society needs to think of new approaches for solving problems with computing. Computational thinking is the process of abstracting and automating a variety of problems using computational technology. A system that expresses, manages, and processes knowledge such as computational thinking is called a knowledge-based system. This paper proposes to examine students’ knowledge about computational

Due to recent growing interest, the importance of preventive and efficient healthcare using big data scattered throughout various IoT devices is being emphasized in healthcare, as well in the IT field. The analysis of information in healthcare is mainly prediction using a user’s basic information and static data from a knowledge base. In this study, a knowledge-based dynamic cluster model using a convolutional

This study investigated the status of appropriability mechanisms and relevant policy measures as an option to secure the returns on R&D investment, which businesses employ to create new knowledge and competitiveness for knowledge-based management. Also, it conducted the AHP analysis of responses from a range of ICT-related experts surveyed. Moreover, to explore the dynamic structure of appropriability

With the change in their social environment and life patterns, the eating habits of modern people have become more diverse. Eating habits are closely related to health, and diet management for individual healthcare is required in this era characterized by poor health and increased longevity. In this paper, we propose a knowledge-based hybrid decision model for nutrition management that uses neural

With the increasing pervasiveness of smart phones and smart devices, dialogue systems are gaining ever growing attention from both academic and industry. These systems can be broadly classified into two categories, one that is aimed at helping user to gain new knowledge and one that can chat with users without completing any specific tasks. Although dialogue systems are improving substantially, the

This study explores the antecedents of usage intentions to use Facebook commerce from an asymmetric point of view. The methodology consists of qualitative comparative analysis (QCA) asymmetric methods as well as structural equation methods (SEM). This study employs the SEM partial least squares analysis method to validate existing theories that examine the relationships between variables such as electronic

The construction of a superior IT portfolio remains an open research question in prior literature. For addressing this gap, we investigate two unique characteristics of IT investment projects that may make it more or less likely to construct a superior IT portfolio in this study. We are mainly grounded on the modern portfolio theory to develop propositions regarding the relationships among such characteristics

The purpose of this paper is to study the impact of Chinese enterprises’ ERP investment and implementation on stock performance and financial performance and the differences between Chinese enterprises and American enterprises’ ERP investment as well as the differences between the smaller firms and larger firms’ ERP investment. The result indicates the performance of Chinese companies investing in

This paper analyzes how the market power in a supply chain affects a manufacturer’s hybrid marketing channel strategies, considering market transaction costs and the ratio of market size of the online market and the offline market. Also, this paper investigates a price-matching strategy when a manufacturer adds an online channel. This paper shows a number of interesting results: generally, when a manufacturer

Understanding how people move from one location to another is important both for smart city planners and destination managers. Big-data generated on social media sites have created opportunities for developing evidence-based insights that can be useful for decision-makers. While previous studies have introduced observational data analysis methods for social media data, there remains a need for method

Enterprise information systems (EIS) improve access to information, process optimization and system integration. Such enhanced information processing capabilities have varying effects on firm financial performance under different corporate governance aspects. We examine such interacting effects with data of Chinese listed companies during 2008 and 2013. Our empirical study shows that EIS implementation

Mobile and sensor related technologies are significantly revolutionizing the medical and healthcare sectors. In current healthcare systems, gadgets are the prominent way of acquiring medical services. However, the recent technological advancements in smart and ambient environments are offering users new ways to access the healthcare services without using any explicit gadgets. One of the key challenges

The ciphertext policy is a promising cryptographic technique for smart home data security, and the secrecy of the encryption key purely depends on the security of the key derivation mechanism. In a smart home network, many devices have limited computational and communication resources, and any such mechanism to create a security key should consider these computational and communicational constraints

User decision intuition is challenging and complex, even if the user and product are known. Thus, recommending products is a management decision with high degree of incertitude. What if we are facing also the cold-start problem, like new products or visitors? This is a hot topic in recommender systems, tackled in variously, successfully or not. This perspective adds more incertitude to the existing

This study proposes a two-period analytical model to explore the relative optimality of three sequential releasing strategies for a software vendor: (1) Skipping Strategy—skip the limited-functionality version and introduce a full-functionality version in the next period, (2) Replacement Strategy—release a limited-functionality version first and replace it with a full-functionality version later, and

Information security management has increasingly been recognized as one of the major business challenges of the last decade. While security research has widely recognized that breaches are detrimental to business value, the other side of the equation has received little attention. The literature on the value impact of proactive financial investments into information security management infrastructure

During the online shopping process, customer reviews strongly influence consumers’ buying behaviour. Fake reviews are increasingly utilized to manipulate products’ reputations. Automatically and effectively identifying fake reviews has become a salient issue. This study proposes a novel individual-group-merchant relation model to automatically identify fake reviews on e-commerce platforms, which focuses

The purpose of the present research is to understand individuals’ intentions to limit their personal information online to partially anonymize their digital identity. Key concepts from several privacy theories are used to generate hypotheses that can be used to understand the behavior of interest. Data from a national probability sample of 792 adults is used to test the hypotheses. The results indicate

An IT roadmap is a critical investment that can significantly affect future competitiveness and performance of a firm. This study presents a comprehensive framework for determining the predecessors and successors of each activity of a roadmap to manage and govern the IT. This paper discusses the result of integrating the COBIT as a well-known IT standard with a hybrid group decision-making method,