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When evaluating a booking enquiry, hosts rely on peer-to-peer (P2P) accommodation platforms (P2PAP) to make an informed decision. Consequently, accepting or rejecting a booking is influenced by the capacity of the P2PAP to convey to hosts valuable information about guests. This study aims to explain hosts’ task performance in short-term rentals (e-rentals).

The proposed model explains hosts’ task performance in e-rentals as a combination of task-specific user capabilities and technology capabilities. The model was tested using the partial least square path modelling technique.

Task-specific user capabilities of covert observation and interrogation were found to have a positive influence on task performance. Moreover, a moderation effect of representation on the relationship between self-disclosure and task performance was found to be significant, yet contrary to the one hypothesized.

The findings from this study help to develop the concept of task-specific user capabilities in shaping task performance.

摘要

探究房东在电子租赁中的任务表现的前因

在评估预订查询时, 房东依靠 P2P 住宿平台 (P2PAP) 做出明智的决定。因此, 接受或拒绝预订受 P2PAP 向房东传达有关客人的有价值信息的能力的影响。本研究解释了房东在短期租赁（电子租赁）中的任务表现。

本研究的模型将房东在电子租赁中的任务表现解释为特定任务的用户能力和技术能力的组合。该模型使用偏最小二乘路径建模 (PLS-SEM) 技术进行了测试。

本研究发现隐蔽观察和询问的任务相关用户能力对任务表现有积极影响。此外, 研究发现自我表露和任务表现之间的关系被表现显著调节, 但与假设相反。

这项研究的结果有助于发展特定任务用户能力在塑造任务表现方面的概念。

This study examines the effects of transformational and transactional leadership behaviors on cycle time, customer orientation, and relationship commitment in the purchasing process of a multinational services organization. The focus is on the activities and relationships between the international strategic business units (SBUs) and the corporate buying center leadership of the organization. Based on a sample of 346 SBUs and a series of 11 case studies, the results suggest that frequent and infrequent SBU users differ somewhat in the leadership behaviors preferred as determined by the effects on the three purchasing outcomes. The paper concludes with a discussion of the results and the implications for future research endeavors on global leadership in purchasing.

The purpose of this paper is to consider how simulations are increasingly used in training programs for the development of skills such as leadership. However, the requirements of leadership development go beyond the development of task specific procedural knowledge or expertise that simulations have typically been used to develop. Leadership requires flexibility in the application of knowledge developed through simulations and the creation of linkages to behavioral execution skills needed to utilize that knowledge effectively in real world settings.

The successful acquisition of flexible expertise and the related execution skills requires instructional techniques that manage cognitive load, delay automatization of responses, and provide diversity in simulated experiences to ensure richness of the mental models developed while working on simulations. The successful transfer of that knowledge to real world settings requires supplemental instructional techniques that link the use of the mental models developed on simulations to the contexts and behavioral requirements of the trainees' roles in real world settings.

If simulations are going to be used effectively for the development of dynamic skills such as leadership there is a need to go beyond their traditional use. The execution of leadership skills requires flexible expertise. The successful acquisition of rich schemata and versatile mental models as the goal of leadership development programs calls for instructional techniques that also facilitate the successful manifestation of flexible expertise.

The paper shows that, when embedded in deliberative processing, application of knowledge developed though simulations and the creation of linkages to behavioral execution skills facilitates successful performance in complex and dynamic real world challenges.

This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques.

The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach.

The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems.

An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach.

The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.

This paper aims to propose a system for the semantic annotation of audio‐visual media objects, which are provided in the documentary domain. It presents the system's architecture, a manual annotation tool, an authoring tool and a search engine for the documentary experts. The paper discusses the merits of a proposed approach of evolving semantic network as the basis for the audio‐visual content description.

The author demonstrates how documentary media can be semantically annotated, and how this information can be used for the retrieval of the documentary media objects. Furthermore, the paper outlines the underlying XML schema‐based content description structures of the proposed system.

Currently, a flexible organization of documentary media content description and the related media data is required. Such an organization requires the adaptable construction in the form of a semantic network. The proposed approach provides semantic structures with the capability to change and grow, allowing an ongoing task‐specific process of inspection and interpretation of source material. The approach also provides technical memory structures (i.e. information nodes), which represent the size, duration, and technical format of the physical audio‐visual material of any media type, such as audio, video and 3D animation.

The proposed approach (architecture) is generic and facilitates the dynamic use of audio‐visual material using links, enabling the connection from multi‐layered information nodes to data on a temporal, spatial and spatial‐temporal level. It enables the semantic connection between information nodes using typed relations, thus structuring the information space on a semantic as well as syntactic level. Since the description of media content holds constant for the associated time interval, the proposed system can handle multiple content descriptions for the same media unit and also handle gaps. The results of this research will be valuable not only for documentary experts but for anyone with a need to manage dynamically audiovisual content in an intelligent way.

The purpose of this chapter is to introduce the capability map that addresses the potential of transactional Shared Service Centers (SSCs). The mapping approach represents a heuristic logic that provides means for analyzing SSC operation, connects SSCs capabilities with their value, and supports academics and practitioners in developing a transactional SSC that is of strategic importance.

This chapter reports on findings from a longitudinal case study within an organization that has implemented a transactional Human Resource (HR) SSC. Over a period of three years, several formal and informal meetings were attended, more than 20 interviews were conducted with SSC MT and customers, over 500 pages of project documentation and memos were studied, which allowed after integration for an in-depth analysis of how resources are bundled to build different types of capabilities.

We uncovered and mapped the operational and dynamic capabilities of a transactional SSC, their role in value creation, and their interdependencies. While the operational capabilities enable the HR SSC to provide day-to-day services to take care of individual end-users and support the business, the dynamic capabilities enable transformation of HR delivery throughout the organization and increase HR’s strategic contribution.

One limitation of this study is the extent to which the capabilities and their role in value creation are generalizable to transactional non-HR SSCs. SSCs providing services that cover other business functions might develop and deploy different capabilities. The use of a capability map is not limited to the capabilities uncovered in this study, however.

In the literature, the primary focus regarding transactional services is limited to cost savings and efficiency. This chapter addresses the potential of the transactional SSC and introduces the capability map as a tool to leverage its potential.

The concept of a knowledge interface for library users is developed as an extension of intelligent knowledge‐base system (IKBS) concepts. Contemporary directions in intelligent decision support, particularly in the role of search intermediaries, are then examined to identify the significance of intelligent intermediaries as a solution to unstructured decision support requirements of library users. A DISCOURSE SCRIPT is given to illustrate one form of intelligent intermediary.

The problems with poor performance and quality of ubiquitous applications due to limited computing resources are addressed.

The concept of ad hoc systems is introduced based on the idea that a resource‐limited device may cooperate with computers around to complete a complex task. Subsequently, the adaptive software framework, FRAME, may be improved to realize ad hoc systems.

It is possible to apply the adaptive software framework to the challenges of ad hoc systems, including a lot of user intervention and unstable computing environments.

The present study provides a starting‐point for further research in exploring and utilizing ubiquitous resources to achieve a better user experience.

The component‐based architecture provides a flexible development approach of ubiquitous applications from the software engineering perspective.

Our analysis and experimental results show that the concept of ad hoc systems is practical and can be realized by the adaptive software framework.

The aim of the research work presented in this paper is to investigate a mechanism that can recognise high level activities (for example, going for a walk, travelling on the bus, doing evening activity, etc.) and behaviour of low entropy people (people with regular daily life routines, e.g. elderly people with dementia, patients with regular routines) in order to help them improve their health related daily life activities by using wireless proximity data (e.g. Bluetooth, Wi‐Fi).

The paper adopted a tiered approach to recognise activities and behaviour. Higher level activities are divided into sub‐activities and tasks. Separating the tasks from the raw wireless proximity data is achieved by designing task separator (TASE) algorithm. TASE takes wireless proximity data as an input and separates it into different tasks. These detected tasks and the high level daily activity plans that are made in a planning language Asbru, are then fed into the activity recogniser that compares the detected tasks with the plans and recognises the high level activities that the user is performing.

The paper provides an insight to how only wireless proximity data can be utilised to recognise high level activities and behaviour of individuals. A number of scenarios and experiments are designed to prove the validity of the proposed methodology.

This paper focussed on relatively low entropy individuals with regular routines and behavioural patterns which can be improved by increasing the level of entropies in behavioural routines.

The paper includes implications for the utilisation in health care environments for elderly people and physically impaired individuals.

This paper provides a detailed and original study of algorithms and techniques that can be used to recognise high level activities and behaviour of individuals by using only wireless proximity data.

The purpose of this paper is to present a brief outline of the potential applications of intelligent agent technology in libraries with a list of illustrative examples.

A definition and the attributes of intelligent agents are presented, along with different types of agents and their wide‐ranging applications in various contexts. Illustrative examples of intelligent agents are presented, with some interesting case studies from different domains.

The role of intelligent agents in modern libraries is highlighted from various perspectives, such as electronic information services, collection development and acquisition, classification and organization of library materials, indexing and abstracting, issuing collection, and reference services.

The authors do not attempt to devise an intelligent agent to test these applications in the libraries where they work, although they wish to pursue it as a future course of action.

With libraries dealing with patrons who never disclose fully their information needs and research interests to library staff, libraries have to resort to newer methods of feedback collection, and intelligent agents provide viable options to improve information organization and refine library services.

The paper, being very precise and covering the latest developments, offers new insight into the field of intelligent agents and their pragmatic applications in libraries to interested professionals.