A blockchain-based framework of cross-border e-commerce supply chain     

《International Journal of Information Management》2020

Blockchain technology provides us a new tool to solve the product traceability problem in supply chain management. This research focuses on the cross-border e-commerce context, to propose a blockchain-based framework, and develop a set of corresponding techniques and methods for achieving traceable products and transactions in supply chain management. A general blockchain-based product traceability framework is introduced. This framework is based on a cross-border e-commerce supply chain context, incorporating a series of blockchain-based models, including multi-chain structure model, data management model and block structure model. Several core methods and algorithms are also developed, such as information anchoring method, key distribution method, information encryption algorithm and anti-counterfeiting method. The framework, models and methods form a complete and comprehensive solution, which are evaluated by applying to several typical problems and attack cases. The case analysis results show that the framework, models and methods can successfully deal with key recover problem, and protect against clone attack, counterfeit tag attack and counterfeit product attack. The effectiveness, extendibility, security, implementation and governance issues of applying these solutions are also discussed. This research contributes to the theoretical and practical literatures on blockchain technology, cross-border e-commerce and supply chain management research fields.  相似文献   

Social media opinion summarization using emotion cognition and convolutional neural networks     

《International Journal of Information Management》2020

Quickly and accurately summarizing representative opinions is a key step for assessing microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule-based emotion export mechanism. In this paper, we propose an OCC model and a Convolutional Neural Network (CNN) based opinion summarization method for Chinese microblogging systems. We test the proposed method using real world microblog data. We then compare the accuracy of manual sentiment annotation to the accuracy using our OCC-based sentiment classification rule library. Experimental results from analyzing three real-world microblog datasets demonstrate the efficacy of our proposed method. Our study highlights the potential of combining emotion cognition with deep learning in sentiment analysis of social media data.  相似文献   

A network-based concept extraction for managing customer requests in a social media care context     

《International Journal of Information Management》2020

Web 2.0 changed everyday life in many aspects, including the whole system that orbits around the purchase of products and services. This revolution necessarily involved also companies, because customers became increasingly demanding. The diffusion of social media platforms pushed customers to prefer this channel for quickly obtaining information and feedback about what they want to buy, as well as for asking help after the selling. In this framework, many organisations adopted a new way of providing assistance known as social customer care. A direct link to companies allows customers to obtain real-time solutions. In this paper, we introduce a new strategy for automatically managing the information listed in the requests that customers send to the social media accounts of companies. Our proposal relies on the use of network techniques for extracting high-level structures from texts, highlighting the different concepts expressed into the customers’ written requests. The texts can be then organised on the basis of this new emerging information. An application to the requests sent to the AppleSupport service on Twitter shows the effectiveness of the strategy.  相似文献   

If you Build it,They Won’t Come: What Motivates Employees to Create and Share Tagged Content: A Theoretical Model and Empirical Validation     

《International Journal of Information Management》2020

The purpose of this paper is to investigate factors influencing employees’ knowledge-sharing behavior on social tagging supported systems. Using the strong theoretical background of the well-known technology acceptance model (TAM), this paper proposes and empirically validates a model that fits the social and technical nature of social tagging tools within the public sector. The analyses in this paper were based on data collected from a large survey of more than 480 respondents working for two public organizations in the United States. The findings demonstrate a significant impact of the role of social presence in encouraging employees to create and share content. Further, there is a strong relationship between the benefits employees receive from using tagging tools and their creation and sharing of tagged content. Specifically, the following factors showed a significant impact on employees’ creation and sharing behavior, specifically their attitudes towards and intentions to create and share tags: perceived ease of use, perceived usefulness, social presence, and pro-sharing norms. For researchers, the paper offers an opportunity to further study knowledge-sharing behavior regarding social media technologies. The findings should motivate practitioners to inject these tools with a social aspect so that employees are encouraged to share content.  相似文献   

Blockchain in the operations and supply chain management: Benefits,challenges and future research opportunities     

《International Journal of Information Management》2020

Blockchain technologies have captured the imagination of scholars, managers, and practitioners around the world. It is widely accepted by these actors that blockchain is not a buzzword, but a highly disruptive technology that is already remodeling the organizations and their supply chain business models. Despite the meaningful advance in the last years, blockchain applications regarding the operations and supply chain management (OSCM) are still in their infancy. Little is known about the role of blockchain in terms of operations traceability, as well in areas such as e-commerce, agriculture, public services, etc. Therefore, this Special Issue seeks to extend our understanding of blockchain applications in OSCM and how firms create and capture business value with blockchain. To this effect, this Special Issue will provide a well-articulated and in-depth discussion of the role of blockchain in creating value in the domain of OSCM. Specifically, it is expected that more light is shed on how blockchain integrates with and impacts new business models, transforms relationships, and improves performance and competitive advantage in OSCM. Also, the evolution of blockchain was reviewed in order to provide a strong background to the readers. The literature review was performed taking into account a bibliometric perspective of blockchain-related publications. The review supports the importance of this Special Issue by highlighting the urgent needs of this topic in this reputable journal. Finally, we provide future research directions and a guide for the papers presented in this Special Issue.  相似文献   

Do teams need both hands? An analysis of team process ambidexterity and the enabling role of information technology     

《International Journal of Information Management》2020

As a core organizational resource, business processes are vital for organizational teams. To deal with today’s volatile business environment, organizations need to be ambidextrous in terms of process capabilities. However, little is known about how process ambidexterity, process standardization, and process agility, are enabled by information technology (IT) and related to team-level activities. To fill this gap in the literature, we conducted a field study based on 160 teams of 1081 individuals from seven companies in South Korea. Our results show that IT enables both process standardization and agility, and that a team’s process ambidexterity has a positive effect on inter-team coordination and team innovation, which in turn have a direct impact on team performance. Our findings highlight the importance of process ambidexterity by investigating the enabling role of IT and its outcomes in a team. Our results offer theoretical and practical implications from the perspective of team process ambidexterity.  相似文献   

Unsupervised dialectal neural machine translation     

《Information processing & management》2020,57(3):102181

In this paper, we present the first work on unsupervised dialectal Neural Machine Translation (NMT), where the source dialect is not represented in the parallel training corpus. Two systems are proposed for this problem. The first one is the Dialectal to Standard Language Translation (D2SLT) system, which is based on the standard attentional sequence-to-sequence model while introducing two novel ideas leveraging similarities among dialects: using common words as anchor points when learning word embeddings and a decoder scoring mechanism that depends on cosine similarity and language models. The second system is based on the celebrated Google NMT (GNMT) system. We first evaluate these systems in a supervised setting (where the training and testing are done using our parallel corpus of Jordanian dialect and Modern Standard Arabic (MSA)) before going into the unsupervised setting (where we train each system once on a Saudi-MSA parallel corpus and once on an Egyptian-MSA parallel corpus and test them on the Jordanian-MSA parallel corpus). The highest BLEU score obtained in the unsupervised setting is 32.14 (by D2SLT trained on Saudi-MSA data), which is remarkably high compared with the highest BLEU score obtained in the supervised setting, which is 48.25.  相似文献   

Meta-analysis in information systems research: Review and recommendations     

《International Journal of Information Management》2020

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Evaluating the use of interactive virtual reality technology with older adults living in residential aged care     

《Information processing & management》2020,57(3):102105

Background and objectivesAs technologies gain traction within the aged care community, better understanding their impact becomes vital. This paper reports on a study that explored the deployment of virtual reality (VR) as a tool to engage older adults in Residential Aged Care Facilities (RACF). The paper has two aims: 1) to identify the benefits and challenges associated with using VR with residents in aged care settings, and 2) to gather the views of older adult residents in RACF about the potential uses of VR in aged care.Research design and methodsFive RACF residents and five RACF staff members took part in an intensive two-week evaluation of a VR system. Qualitative data was collected from multiple interviews and via researcher notes and video recordings made during the VR sessions.ResultsResults highlight the usability issues that impacted on the aged care residents' ability to use interactive VR technology and the potential negative impact head mounted displays can have on those living with dementia; the role that VR can play in engaging residents who might otherwise self-isolate, and how this can extend to increased engagement with family and friends.Discussion and implicationsWe discuss the design challenges that will need to be met in order to ensure that interactive VR technology can be used by residents living in aged care, and the potential for VR to be used as a tool to improve the quality of life of some older residents, particularly those for whom traditional social activities do not appeal.  相似文献   

Location recommendation by combining geographical,categorical, and social preferences with location popularity     

《Information processing & management》2020,57(4):102251

The primary aim of location recommendation is to predict users’ future movement by modeling user preference. Multiple types of information have been adopted in profiling users; however, simultaneously combining them for a better recommendation is challenging. In this study, a novel location recommendation method that incorporates geographical, categorical, and social preferences with location popularity is proposed. Experimental results on two public datasets show that the proposed method significantly outperforms two state-of-the-art recommendation methods. Geographical preference generally shows more importance than both categorical and social preferences. A category hierarchy that unleashes the independent assumption of location tags improves categorical preference. Location popularity proves to be a useful metric in ranking candidate locations. The findings of this study can provide practical guidelines for location recommendation services.  相似文献