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Autonomous robots must be able to understand long-term manipulation tasks described by humans and perform task analysis and planning based on the current environment in a variety of scenes, such as daily manipulation and industrial assembly. However, both classical task and motion planning algorithms and single data-driven learning planning methods have limitations in practicability, generalization and interpretability. The purpose of this work is to overcome the limitations of the above methods and achieve generalized and explicable long-term robot manipulation task planning.

The authors propose a planning method for long-term manipulation tasks that combines the advantages of existing methods and the prior cognition brought by the knowledge graph. This method integrates visual semantic understanding based on scene graph generation, regression planning based on deep learning and multi-level representation and updating based on a knowledge base.

The authors evaluated the capability of this method in a kitchen cooking task and tabletop arrangement task in simulation and real-world environments. Experimental results show that the proposed method has a significantly improved success rate compared with the baselines and has excellent generalization performance for new tasks.

The authors demonstrate that their method is scalable to long-term manipulation tasks with varying complexity and visibility. This advantage allows their method to perform better in new manipulation tasks. The planning method proposed in this work is meaningful for the present robot manipulation task and can be intuitive for similar high-level robot planning.

The purpose of this paper is to offer an integrated approach for understanding the relations among the theoretical and operational antecedents of consumer involvement in the context of financial products. The theoretical antecedents of involvement have been conceptualized as the consumer's personal profile, purchase situation, and target product; the operational antecedent includes the purchase availability manipulation.

The research is based on a field study among private customers of a leading financial institute and on two experimental designs within lab settings. The independent variables include the theoretical and operational antecedents and the dependent measure comprises the involvement measure.

The findings emphasize that the theoretical antecedents constitute an effective manipulation of involvement, whereas the operational antecedent has only limited effect.

Financial managers should consider the type of financial service, distribution channel, social context and advertising medium, in conjunction with the consumer's profile, to increase the overall involvement.

The research provides a new view at the way predictions of involvement are formed within the financial context. This view is enabled by including the antecedents of product involvement along with the manipulation of product availability. When these components are considered jointly, a richer set of predictions can be offered than previously conceptualized. To this end, the research calls for a more comprehensive approach for manipulating involvement that bases its activation on the theoretical antecedents.

This paper aims to show how environment-related worldview beliefs, in addition to specific persuasion knowledge, can influence how a consumer responds to ads about corporate social responsibility (CSR) projects.

Two experiments manipulated ad copy and consumers’ persuasion knowledge to examine the effects of consumers’ environmental worldview beliefs on their judgments of a firm’s CSR reforestation project.

When an ad presented ambiguous information, both consumers’ persuasion knowledge and their environmental worldview influenced the attribution of the firm’s motives. When an ad presented environment-specific information, however, consumers’ worldview did not influence their attribution of motives. Attributions, in turn, predicted attitudes toward the ad and attitudes toward the brand and were associated with intentions for information-seeking and referral behavior.

A consumer’s core beliefs can play an important role in understanding the application of persuasion knowledge, and the reinforcement-of-meaning principle expands the persuasion knowledge model’s explanatory power.

Marketing communications that involve social responsibility projects must take into account how core beliefs can influence the way consumers respond to projects.

This research demonstrates the importance of worldview beliefs in communication that takes place in the public sphere.

The experiments’ results contribute to a more robust understanding of the persuasion knowledge model, particularly as it applies to CSR messages and introduces the reinforcement-of-meaning principle.

The purpose of this paper is to examine the roles of perceived certainty, manipulated risk and knowledge in the satisfaction‐purchase intention relationship in the context of a new product evaluation.

This study uses a 2×2 factorial design with 120 participants and a combination of methods to test hypotheses.

The respondents of low‐risk as well as high‐knowledge groups report a higher purchase intention. Interestingly, the movement from satisfaction to purchase intention is higher among respondents with higher certainty, and among respondents in low‐risk as well as high‐knowledge groups. In particular, this study finds a positive interaction effect between manipulated knowledge and manipulated risk on the satisfaction‐purchase intention relationship.

As with most experiments, this study has low external validity. Thus, future studies should use different products/brands tested among a wider range of consumers and in more realistic user situations. Both product risk and consumer knowledge are multidimensional constructs, thus, it will be interesting for future studies to manipulate different facets of those constructs (e.g. financial risk, procedural knowledge).

The authors' findings suggest that managers should be aware of satisfaction strength (e.g. confidence and knowledge) and risk in their estimations of purchase intention based on satisfaction measurement. Marketing strategies that reduce consumers' risks, consolidate their confidence and educate them with relevant knowledge may be effective strategies to increase their purchase intentions, especially towards new products.

This study contributes to the literature by simultaneously examining the roles of perceived certainty, manipulated risk and knowledge within a satisfaction‐purchase intention relationship. It also contributes by providing empirical evidence supporting an interaction between knowledge and risk affecting the satisfaction‐purchase intention relationship. Finally, it uses a controlled experiment in the context of a new product evaluation to confirm the causal effects.

In recent years, counterproductive knowledge behavior (CKB) and its types have received increasing interest in knowledge management as the degree of knowledge sharing and innovation in enterprises continues to increase. A rapidly growing number of studies have shed light on the important antecedents and consequences of employees’ CKB. However, the various labels, conceptualizations and operationalizations of CKB have fragmented this body of research. This study aims to systematically integrate the effects of the six types of organizational characteristics on CKB and further draws more general conclusions based on the results of previous studies.

Based on a survey of 103 effect values responsible for 52 CKB samples, the authors use the ABC theory to explore the effects of the six types of organizational characteristics on CKB. Moderator analysis were performed to resolve inconsistencies in empirical studies and understand the contexts under which CKB has the strongest or weakest effect.

The results showed that task interdependence and a positive organizational atmosphere, in general, negatively affect employees’ CKB in the moderation analysis. In contrast, workplace discomfort, negative organizational atmosphere, internal competition and time pressure positively and partly affect employees’ CKB. The direction and magnitude of these effects were affected by emotional factors, knowledge personnel types and sample sources. Discussing the theoretical, methodological and practical implications of these findings can offer a guiding framework for future research.

Better control of employees’ CKB is not achieved by adjusting organizational characteristics alone but by combining personal characteristics and mood changes with it to balance organizational characteristics and CKB. Furthermore, the large-sample joint study integrated the conceptual definition of CKB. The multivariate data study provided more reliable conclusions and a solid theoretical foundation for CKB research areas.

This study aims to identify and classify the range of antecedents of counterproductive knowledge behavior (CKB) to provide a better understanding of their implications for addressing CKB.

The study includes three studies. Using meta-analysis (Study 1) and meta-synthesis (Study 2), the authors reviewed extant primary quantitative and qualitative studies to aggregate information on the antecedents of CKB identified to date. In Study 3, these antecedents were modeled schematically by using the matrix of cross-impact multiplications (MICMAC) analysis.

The meta-analysis and meta-synthesis (Studies 1 and 2) yielded 28 antecedents of CKB. These were categorized into five groups of characteristics, relating to the workplace, leadership, interpersonal, individual differences and knowledge. Then, in Study 3, the antecedents were categorized according to their interrelatedness and strength of effects (using four quadrants comprising autonomous, dependence, driving and linkage factors).

This study takes an integrative approach to the CKB literature, both by aggregating underlying constructs (knowledge hoarding, hiding, etc.) and in aggregating quantitative and qualitative literature. This prevents silos and integrates knowledge across a range of CKB studies. Besides, the authors reveal the relative role of antecedents by modeling them.

With the wealth of information available on the World Wide Web, it is difficult for anyone from a general user to the researcher to easily fulfill their information need. The main challenge is to categorize the documents systematically and also take into account more valuable data such as semantic information. The purpose of this paper is to develop a concept-based search system that leverages the external knowledge resources as the background knowledge for getting the accurate and efficient meaningful search results.

The paper introduces the approach which is based on formal concept analysis (FCA) with the semantic information to support the document management in information retrieval (IR). To describe the semantic information of the documents, the system uses the popular knowledge resources WordNet and Wikipedia. By using FCA, the system creates the concept lattice as the concept hierarchy of the document and proposes the navigation algorithm for retrieving the hierarchy based on the user query.

The semantic information of the document is based on the two external popular knowledge resources; the authors find that it will be more efficient to deal with the semantic mismatch problems of user need.

The navigation algorithm proposed in this research is applied to the scientific articles of the National Science Foundation (NSF). The proposed system can enhance the integration and exploration of the scientific articles for the advancement of the Scientific and Engineering Research Community.

The purpose of this study is to survey knowledge management (KM) practices and to examine the applications and technologies adopted when developing the knowledge management system (KMS) in build‐to‐order supply chains (BOSC).

This paper uses a literature review of research articles from 1996 to 2007 with keyword indexes to survey the KM practice, KMS technology and its application in BOSC. Such keyword indexes include: BOSC, SCM, KM, KMS, expert system, knowledge‐based system and information system on the Elsevier online database, ScienceDirect, EBSCO, Proquest, Emerald, DOAJ, and Wiley Inter Science. A total of 1,500 articles were found but only 149 articles related to the keywords of KMS application and KM practices within SCM and BOSC.

The important findings indicate that the KMS application is solely focused on single knowledge problem for enabling individual SC members to attain operational excellence. There is a need for further research into the development of KMS with features of knowledge coordination that cross organizational borders in attaining the BOSC integration.

Perhaps, the limitation of this study was the narrowness of the scope of the paper based on the keywords used for searching.

Validation of the multi‐disciplines of KM practices and KMS applications provides enterprises with useful guidelines for implementing KM‐ and KMS‐related projects within their current BOSC practices.

This paper provides useful knowledge by highlighting the characteristics of KMS technology within BOSC and empirical insights into the relationship between KM and BOSC practices.

HRD professionals can be considered to be knowledgeable about knowledge management practices in their own offices. Effectiveness of knowledge management practices of three HRD offices were studied, using a combination of structured questionnaires plus interviews with four HRD professionals per office. Three categories of knowledge management activities were considered, by the members of these organisations, to be effective: activities that expand the individual or collective experiential horizon; activities that are meant to consolidate knowledge; informal and formal communication about work issues. Conditions that facilitate or inhibit these activities are identified. Organisations wishing to improve their knowledge productivity are confronted with some fundamental choices: innovation versus routine, office versus officer, and knowledge sharing versus knowledge shielding.

This paper aims to close the gap between the generic concept of knowledge activities (KAs) and implementing them in the context of software engineering organisations concentrating on the non-technical aspects, such as team organisation and practices.

This qualitative research used a questionnaire with practitioners such as software developers and team leads who were asked to provide feedback on a set of team practices and measures typically used in software engineering projects and assess their relation to the activities of acquiring, codifying, storing, maintaining, transferring and creating knowledge. The obtained results were analysed using frequency analysis and further descriptive statistics yielding a matrix linking the investigated team practices and measures to KAs.

Team practices and measures commonly applied in software engineering can be facilitated to trigger particular KAs. While most of these team practices and measures originate from agile methods, they are not restricted to these. A purposeful composition can help in assembling a balanced set of KAs aimed at fostering given knowledge goals in software engineering organisations.

By bridging the communication and terminology gap between knowledge management research and software engineering practitioners, this work lays the foundation for assessing software teams’ knowledge profiles more easily and creating prerequisites for implementing knowledge management by facilitating common practices and measures often already part of their daily work. Hence, overhead can be avoided when implementing knowledge management.

To the best of the authors’ knowledge, this is the first study investigating application and relevance of KAs in the software industry by linking them to practices and measures well-accepted in software engineering, thus providing the necessary vocabulary for the implementation of knowledge management in software development teams.