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This paper aims to explore the deep Web as a solution for displacement and replacement challenges in libraries, addressing the challenges, benefits, strategies and case studies.

The paper synthesizes existing literature on deep Web integration in libraries, providing a comprehensive analysis of insights from scholarly articles, case studies and expert opinions.

The deep Web grants libraries access to unique content, improving information access, fostering collaboration and enabling personalized content. However, security, privacy, ethics and data protection must be considered.

This paper contributes to the literature by providing a comprehensive examination of deep Web integration in libraries, offering valuable recommendations for navigating the changing landscape and leveraging the deep Web’s potential.

The purpose of this paper is to identify the gap that currently exists between enterprise and consumer‐focused mashup tools in terms of personalized, trusted collaboration. The authors describe how Sqwelch, a semantically enabled mashup maker, addresses this gap during the design of mashups and in their execution.

Sqwelch enables the composition of mashups based on the concept of trust explicitly specified by users through a visual interface. Taxonomies are used to enable lightweight mediation of payloads delivered through a publish/subscribe mechanism.

The authors demonstrate the use of Sqwelch as a proof of concept in the remote delivery of healthcare, and how Sqwelch has been used to address areas of trust and collaboration in the delivery of telehealth services.

Integrating trust and collaboration across the boundaries of enterprises is required where sensitive data are transferred across those boundaries in the expectation of the delivery of a service. Across these boundaries, the authors find variations in users' skills, their expectations, and their responsibilities. The prototype described here enables users to discover, compose, share and collaborate in the day‐to‐day use of systems that match personalized requirements.

In a collaborative learning environment there will be many learners with diverse cultures. These learners should be supported to communicate and collaborate among themselves. The variety of the communication and collaboration tools and modes available to each learner would depend on his/her personal cultural background. The purpose of this paper is to suggest the adaptation of the collaborative learning environment to the learner's cultural profile. So, first it aims to present learner's models with respect to his/her cultural characteristics. It also aims to present the various communication and collaboration tools and modes that would be available to the learners. Then, each learner has at his/her disposal the appropriate communication and collaboration tools and modes according to his/her cultural characteristics.

The cultural models of Trompenaars and Hampden‐Turner, as well Hofsted are modified relaxing the dualism of their dimensions. The modified models are used in a collaborative learning environment. The various attributes and types of communication and collaboration among learners and teachers in a collaborative learning environment are also identified.

This paper presents learner's cultural models across several cultural dimensions. Each cultural dimension weights differently. Also, a learner may not belong strictly to a cultural extreme of a dimension, but he/she may have characteristics from both cultural extremes of each dimension. Based on a learner's cultural profile, different communication and collaboration tools would be available to the learner.

Based on the learner's profile, either the adaptation engine, or the teacher, or the learner him/herself may select the appropriate communication and collaboration tools and modes for the particular learner. Designers, developers and evaluators of collaborative learning systems may benefit from these learners' cultural models and the communication and collaboration attributes. For example, they may create collaborative learning systems with flexible communication and collaboration attributes that provide to each learner personalized communication and collaboration tools according to his cultural profile.

This paper proposes the adaptation of the collaborative learning environment to the cultural characteristics of the learner. Future research may assign the specific communication and collaboration tools to each particular learner's cultural profile.

This paper proposes the adaptation of the communication and collaboration tools and modes that are used by a learner in a collaborative learning environment to the learner's cultural characteristics. First, the paper presents new cultural models of a learner. Then, it presents the communication and collaboration attributes and types that would be used by the learners in a collaborative learning environment. A learner would have at disposal the appropriate personalized communication and collaboration tools.

This paper aims to describe the design and user testing of GeoForge, a multiple-player digital learning experience for middle school that leverages virtual reality (VR) and individualized websites for learning concepts in planetary science. This paper investigates how specific instructional design choices and features of the technology fostered collaborative behaviors.

GeoForge was implemented in 3 middle school classrooms with a total of 220 students. Learners used GeoForge in class in groups of 3–4 to learn about planetary science. A mixed-methods approach examined collaboration using classroom observations, teacher interviews, student surveys and student artifacts. Using Jeong and Hmelo-Silver’s (2016) seven affordances of technology for collaborative learning, this paper identifies ways in which features of GeoForge supported collaborative behaviors.

Instructional design which combined VR and the digital science journal (DSJ) helped foster collaboration. Some collaborative behaviors were especially notable in classrooms that did not regularly practice these skills. Segmenting tasks in the DSJ, clarifying instructions to articulate ideas, showing other group members’ responses onscreen and enabling multiuser VR environments contributed to collaborative behaviors and a satisfying learning experience as observed and documented through multiple methods.

GeoForge successfully integrated VR and personalized websites in a classroom planetary science lesson, an approach which balanced instructional design and logistical challenges while creating opportunities for collaboration.

The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.

The development of the model is based on a combination of participatory action research and user-centered design (UCD) methodologies, seeking to ensure that the platform is user-oriented and based on the experiences of the authors. The model itself is structured around the active and transformational learning (ATL) framework.

This study highlights the importance of addressing 4IR megatrends in education to prepare students for a technology-driven world. The proposed model, based on ATL and supported by AI, integrates essential competencies for tackling challenges and generating innovative solutions. The integration of AI into the platform fosters personalized learning, collaboration and reflection and enhances creativity by offering new insights and tools, whereas UCD ensures alignment with user needs and expectations.

This research presents an innovative educational model that combines ATL with AI to foster complex thinking and co-creation of solutions to problems related to 4IR megatrends. Integrating ATL ensures engagement with real-world problems and critical thinking while AI provides personalized content, tutoring, data analysis and creative support. The collaborative platform encourages diverse perspectives and collective intelligence, benefiting other researchers to better conceive learner-centered platforms promoting 21st-century skills and co-creation.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

The purpose of this paper is to outline a hierarchical model for developing essential e-textbook functionality and to offer important insight for e-textbook designers.

Guided by the SAMR model, five hierarchical functional layers are proposed in the development process for e-textbook to enable more effective and efficient teaching and learning.

Moving up from the substitution to transformation level, each layer extends the functionality of the underlying layers to unveil new features that support the learning processes and gradually transform e-textbooks from a self-directed informal learning tool to become a formal learning platform.

The hierarchical model provides e-textbook designers and developers with a guideline on how to surpass the present state of e-textbooks and offer additional value-added features for learners. The required technologies for each layer are also discussed.

As China’s e-commerce and cross-border e-commerce rapidly develop, the cross-border e-commerce supply chain exhibits characteristics of globalized development scale, collaborative multiparty participation, streamlined management processes, digitalized production and trade and flexible strategic choices. It tends toward data-driven intelligence, interoperable information collaboration, personalized order responses, sustainable supply chain management and secure blockchain technology. These characteristics and trends provide critical references for businesses, governments and investors.

In response to issues such as inconsistent legal regulations, imbalanced logistics and transportation, imperfect payment settlements and opaque supply chains.

It is recommended to take measures to strengthen cooperation and communication, optimize logistics, reduce customs clearance difficulties, reinforce safeguard measures and promote sustainable development, collectively fostering the healthy growth of cross-border e-commerce.

With the rapid development of cross-border e-commerce, green and low-carbon initiatives have become a significant trend in this sector. The cross-border e-commerce supply chain refers to the mechanism that reduces environmental impacts and enhances resource efficiency from manufacturers to consumers. It primarily involves manufacturers, e-commerce platforms, logistics companies and payment and settlement processes. The cross-border e-commerce supply chain is gradually becoming a highlight in China’s foreign trade, supporting the concept of “buying globally and selling globally” and connecting the “world’s factory” with the “world’s market.”

The article introduces practitioners to the concept and process of co-creating customization with buyers.

This article offers a process and a model that mass market companies can use to take a scalable approach to involving customers in offering development, delivery and use.

Companies that co-create customization in a truly collaborative process enjoy significantly more sustainable competitive advantages.

For the company, co-creating leads to better offerings – including new capabilities that can be used with different customers in differing combinations – and also a more complete and clear picture of what its customers want.

The article introduces the co-creation customization model and nine strategies practitioners can use to provide individualized customer value.

E-learning environments and services (ELES) adoption and success rates challenge ELES designers, practitioners and organisations. Enterprise decision makers continue to seek effective instruments in launching such systems. The purpose of this paper is to understand users’ perceptions of ELES effectiveness and develop a theoretical framework which improves understanding of success factors for adoption.

Grounded theory method is used to reflect on the relationships between changing users’ requirements and expectations, technological advances and ELES effectiveness models. A longitudinal study collecting data from social media blogs over four years was authenticated based on the context evaluation, language structure and conversational constructs.

Identification of a new core dimension named “Concept Functionality” which can be used to understand the relationships between e-learning effectiveness factors including the relationships with other domains such as security. The findings are also used to validate major existing models for the success of ELES.

The new framework potentially improves system design process in the fields of education technology, enterprise systems, etc.

Concept functionality dimension can offer more insights to understand ELES effectiveness and further improve system design process in a variety of domains including enterprise systems, process modelling and education technology.