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Expatriate mobility is increasing globally, in volume and diversity. A growing element of this overall increase has been the greater share of self-initiated expatriates (SIEs) working outside their home countries. In some host countries, SIEs make up a majority of the overall workforce. The purpose of this paper is to examine the determinants of innovative work behavior (IWB) of SIEs in one such country. Drawing upon leader-member exchange (LMX) theory and the conceptual framework of the resource-based view of career capital, the authors’ examine the influences of LMX, perceived innovation-reward, job knowledge and contextual knowledge on SIEs’ IWB.

The paper is based on the analysis of survey results from 229 SIEs based in the United Arab Emirates. The authors use hierarchal regression and an SPSS macro to assess the significance of the interaction effects.

Results indicate significant direct effects for LMX and perceived innovation-reward on SIEs’ IWB. Results also reveal significant interaction effects suggesting that the relationship between LMX and SIEs’ IWB is stronger when job knowledge is high and when reward for innovation is high.

This is the first study to examine the determinants of SIE’s IWB. This study investigates the effect of LMX, career capital differences (job knowledge and contextual knowledge) and perceived innovation-reward on SIEs’ IWB. This is also the first study to examine the interaction effects of LMX and individual differences (job knowledge and contextual knowledge) on SIEs’ IWB.

This paper aims to answer calls for more research on how contextual factors influence the effectiveness of knowledge reuse.

The findings are based on an in-depth case study conducted in the sales department of a large white goods company in Australia.

Six contextual factors identified include purpose, time pressure, language, accessibility, author and date. A mismatch in purpose between knowledge creation and reuse is most likely to reduce knowledge reuse effectiveness. Time pressures may lead to an increase in errors associated with search question definition as well as knowledge search and selection, while unfamiliar language is likely to lead to misinterpretations of content. Knowledge accessibility issues are of particular concern in time-sensitive situations. Authorship and creation date information may facilitate knowledge reuse by allowing consumers to filter unwanted knowledge.

This study contributes to knowledge management theory by providing an exploration of the ways in which contextual factors influence knowledge and reuse effectiveness, and of the possible relationships between those factors. The paper also provides knowledge management practitioners with tangible guidelines on how to increase the effectiveness of organizational knowledge reuse.

Competency-based measure is increasingly evident as an effective approach to tailoring training and development for organisational change and development. With design stage widely reckoned as being decisive for construction waste minimisation, the purpose of this paper is to identify designers’ competencies for designing out waste.

Due to paucity of research into competency for construction waste mitigation, this study corroborates verbal protocol analyses (VPA) with phenomenological research.

Combining findings from the two methodological approaches, competencies for designing out waste are grouped into five categories, three of which are largely task related and two being contextual competencies. The study suggests that design task proficiency, low waste design skills and construction-related knowledge are indispensable task competencies, while behavioural competence and inter-professional collaborative abilities are requisite contextual competencies for designing out waste. In concurrence with task-contextual theory of job performance, personality variables and cognitive abilities are found to influence one another. This suggests that both task and contextual competencies are not only important, they are less mutually exclusive with respect to designing out waste.

This study implies that apart from commitment and dedication of designers to waste minimisation, design and firm practices are expected to be adapted to the industry’s standard.

Basis for training needs of design professionals as well as redeployment criterion are further elaborated in the paper. By enhancing competencies identified in this study, construction waste would not only be significantly designed out, adequate cost saving could be made as a result of waste reduction.

The purpose of this paper is to bridge the gap by addressing the substructures of perceived knowledge quality (PKQ) drawn upon the theory of sensemaking. It also examines interactions of the substructures which, in turn, have differing impacts on innovativeness. Additionally, this study illustrates which PKQ substructure is most affected by knowledge sharing. PKQ has become imperative, not an option, for innovativeness in the environment characterized by knowledge overload. However, there is little research on PKQ due to its abundant, variable nature.

The survey methodology was used to collect data. A total of 368 individuals in the USA participated in the study. The partial least squares analysis for structural equation modeling was used to test the research model.

Perceived intrinsic knowledge quality is most affected by knowledge sharing, while knowledge sharing is a critical determinant of three PKQ substructures (i.e. perceived intrinsic, contextual and actionable knowledge quality). Perceived intrinsic knowledge quality, however, is inadequate by itself and should be transformed into perceived contextual, actionable knowledge quality to produce innovativeness.

This study addresses the shortfall of understanding the dynamics of PKQ’s substructures and unfolds theoretical links to knowledge sharing and innovativeness.

This study offers valuable insights to managers who face ongoing challenges in sharing knowledge and improving knowledge quality, thereby leading their quality of knowledge into innovativeness.

Despite growing recognition, few empirical studies on PKQ are present in the literature. This study contributes to understanding a holistic view of PKQ and its substructures with unique relationships by knowledge sharing and innovativeness.

The purpose of this paper is to investigate a specific pattern of relationships among various task, knowledge and social characteristics of work design and work outcomes. It clearly shows how particular work characteristics influence task and contextual performance.

The empirical research was conducted through a field survey of the largest Croatian organizations with more than 500 employees. A cross-sectional and cross-occupational sample of 512 knowledge workers from 48 organizations is analyzed by applying the partial least squares structural equation modeling technique.

The results confirmed the existence and importance of the interaction between work characteristics and work outcomes. However, the findings suggest that only knowledge characteristics of work design exhibit a significant effect on both dimensions of work behavior, while task and social characteristics showed different effects on task and contextual performance, respectively.

The research findings clearly show that work design efforts are not straightforward but rather context-specific, and with diverging performance effects. Organizations can significantly enhance their bottom-line performance by designing challenging and cognitively demanding configurations of work tasks for their knowledge workers.

The paper extends previous research by capturing a broader set of work characteristics of knowledge workers. The results suggest that different categories of work characteristics have different effects on task and contextual performance. By revealing the nature of work design in the central and eastern European context, this study indicates the existence of possible differences in work design practices in various backgrounds.

The paper aims to clarify the importance of the psychological processing of contextual cues in the mining of individual attention resources. In recent years, the research of more open spatial perspective, such as spatial and scene perception, has gradually turned to the recognition of contextual cues, accumulating rich literature and becoming a hotspot of interdisciplinary research. Nevertheless, besides the fields of psychology and neuroscience, researchers in other fields lack systematic knowledge of contextual cues. The purpose of this study is to expand the research field of contextual cues.

We retrieved 494 papers on contextual cues from SCI/SSCI core database of the Web of Science in 1992–2019. Then, we used several bibliometric and sophisticated network analysis tools, such as HistCite, CiteSpace, VOSviewe and Pajek, to identify the time-and-space knowledge map, research hotspots, evolution process, emerging trends and primary path of contextual cues.

The paper found the core scholars, major journals, research institutions, and the popularity of citation to be closely related to the research of contextual cues. In addition, we constructed a co-word network of contextual cues, confirming the concept of behavior implementation intentions and filling in the research gap in the field of behavior science. Then, the quantitative analysis of the burst literature on contextual cues revealed that the research on it that focused more on multi-objective cues. Furthermore, an analysis of the main path helped researchers clearly understand and grasp in the development trend and evolution track of contextual cues.

Given academic research usually lags behind management practice, our systematic review of the literature to a certain extent make a bridge between theory and practice.

The purpose of this paper is to propose a method for identifying business process-relevant contextual information that is likely to impact on the process goal. The ORGANON method describes a semi-structured procedural guide alongside with a set of criteria and a matrix for analyzing ontological transactions, which can be used to identify which context information can be considered relevant to a business process.

The authors report on an evaluation of the ORGANON method through a case study conducted in an organization that works in the social security domain.

The results provide evidences of the feasibility of the method application in this scenario.

Our research contributes to the literature on business processes flexibility, specifically through a proposal for context identification that can be extended to current techniques for business process modeling and in turn forms the basis for existing approaches for making business processes more flexible. The work has implications for the strategic management of organizations, by suggesting a method that provides informational support to decision makers about when, where and why business processes need to be adapted.

The purpose of this study is to address the nature of knowledge quality, describe its dimensions, and create valid and reliable instruments to measure it. Knowledge quality is proposed as a second‐order factor model which includes three dimensions: intrinsic knowledge quality, contextual knowledge quality, and actionable knowledge quality. This study also aims to examine important antecedents to and an outcome of knowledge quality.

Data collected from 208 project teams were used to test measures of knowledge quality and to examine a proposed research framework by using LISREL for structural equation modeling.

Results support the claim that knowledge quality has three dimensions. The results also show that functional diversity, absorptive capacity, and knowledge networks are critical antecedents that positively impact knowledge quality, which in turn has an influence on innovation.

The research framework enables academicians and practitioners to have important insights regarding the determinants of knowledge quality and its positive impact on innovation.

The valid and reliable instruments of knowledge quality provide a tool to analyze the strengths and weaknesses of intrinsic, contextual, and actionable knowledge quality. This study illustrates how firms can improve knowledge quality by integrating interdisciplinary knowledge.

This study identifies dimensions of knowledge quality and its antecedents and consequences.

The purpose of this paper is to propose a model of competitiveness for small and medium-sized enterprises (SMEs) by investigating the structural relationship between organizational structure, knowledge quality (KQ) dimensions, improvisational creativity, compositional creativity and innovation in an emerging market – Malaysia – grounding in sense-making and organizational improvisational theories.

A total of 358 valid questionnaires administered among SMEs’ top management were used in examining the measurement model and structural relationship between latent constructs using partial least squares (PLS) path-modelling approach.

The findings indicate that a flat organizational structure influences business entities’ sense-making activities in the way they realize the intrinsic value of knowledge (intrinsic KQ) and take action to apply the organizational knowledge (actionable KQ). These sense-making activities are also conducive to SMEs’ improvisational creativity, compositional creativity and innovative capabilities. All KQ dimensions are positively interrelated, thus supporting sense-making theory.

A sustainable competitive advantage for SMEs requires a setting that is based on a lean, decentralized and cooperative organizational structure that shapes organizational KQ. As a contribution to the literature, accessibility KQ is introduced as a KQ dimension. Even though previous research was unclear on the reflectiveness/formativeness of KQ, by applying confirmatory tetrad analysis-PLS, this study empirically supports that KQ is a formative construct.

This viewpoint study aims to make the case that the field of knowledge management (KM) must respond to the significant changes that big data/analytics is bringing to operationalizing the production of organizational data and information.

This study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”.

A Big Data/Analytics-Knowledge Management (BDA-KM) model is proposed that illustrates the centrality of knowledge as the guiding principle in the use of big data/analytics in organizations.

This is an opinion piece, and the proposed model still needs to be empirically verified.

It is suggested that academics and practitioners in KM must be capable of controlling the application of big data/analytics, and calls for further research investigating how KM can conceptually and operationally use and integrate big data/analytics to foster organizational knowledge for better decision-making and organizational value creation.

The BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics.