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This study aims to highlight the inconsistency between conventional knowledge push judgements and the price of knowledge push. Also, a three-way decision-based relevant knowledge push algorithm was proposed.

Using a ratio of 80–20%, the experiment randomly splits the data into a training set and a test set. Each video is used as a knowledge unit (structure) in the research, and the category is used as a knowledge attribute. The limit is then determined using the user’s overall rating. To calculate the pertinent information obtained through experiments, the fusion coefficient is needed. The impact of the push model is then examined in comparison to the conventional push model. In the experiment, relevant knowledge is compared using three push models, two push models based on conventional International classification functioning (ICF), and three push models based on traditional ICF. The average push cost accuracy rate, recall rate and coverage rate are metrics used to assess the push effect.

The three-way knowledge push models perform better on average than the other push models in this research in terms of push cost, accuracy rate and recall rate. However, the three-way knowledge push models suggested in this study have a lower coverage rate than the two-way push model. So three-way knowledge push models condense the knowledge push and forfeit a particular coverage rate. As a result, improving knowledge results in higher accuracy rates and lower push costs.

This research has practical ramifications for the quick expansion of knowledge and its hegemonic status in value creation as the main methodology for knowledge services.

To the best of the authors’ knowledge, this is the first theory developed on the three-way decision-making process of knowledge push services to increase organizational effectiveness and efficiency.

In this chapter, the authors explain the value of the KLC approach to building cultural capacity in knowledge-driven organizations. This chapter also explains the importance of coherent multilevel interactions to expose and experience a company culture. The authors reinforce that culture is learned simultaneously, consciously and unconsciously, through all company’s related experiences. The effects of leadership, hierarchy, and maturity on cultural capacity are discussed at the individual, team, and organizational levels. Finally, the chapter provides a step-by-step methodology and sample questions for taking stock of an organization’s cultural capacity.

This study aims to investigate the negative interpersonal antecedents, emotional mediators and boundary conditions of knowledge sabotage behavior.

The authors collected data from 275 Chinese employees using convenience sampling and snowball sampling across three stages. Subsequently, the authors used both hierarchical regression and bootstrap methods to test the proposed hypotheses.

The results confirmed that workplace ostracism has positive effects on employee knowledge sabotage behavior both directly and via employee anger. In addition, the authors found that employee bottom-line mentality (BLM) moderates not only the direct effect of workplace ostracism on employee anger but also the indirect effect of employee anger in this context. Employee conscientiousness moderates only the direct effect of workplace ostracism on employee anger and does not moderate the indirect effect.

To the best of the authors’ knowledge, this study not only explores the influence of workplace ostracism on employee knowledge sabotage behavior for the first time but also elucidates the underlying emotional mechanisms (anger) and boundary conditions (employee BLM and conscientiousness) by which workplace ostracism influences employee knowledge sabotage behavior, thus deepening the understanding of how knowledge sabotage emerges in organizations.

This study aims to investigate the complex relationship between digitalization capability (DC) and radical innovation performance (RIP). In particular, this study sheds new light on the results of previous studies on the effects of DC on firm innovation.

The authors obtained questionnaire data from 271 IT managers of randomly selected high-tech Chinese firms. The data was used to empirically test the proposed hypotheses using hierarchical regression analysis.

The findings of this study reveal that DC has an inverted U-shaped effect on RIP. Knowledge accumulation (KA) has a partial mediating effect on the DC–RIP link. Knowledge integration capability (KIC) was found to moderate the DC–RIP relationship: the higher a firm’s KIC, the flatter the DC–RIP curve. Moreover, there is empirical evidence of the shape-flip phenomenon of the DC–RIP curve: when KIC > 1.82, the DC–RIP relationship is no longer an inverted U-shaped but presents as a U-shaped curve.

This study explores the DC–RIP relationship from the perspective of knowledge management, deepens the research scope of digitalization and lays the foundation for subsequent research.

This study provides potential explanations for contradictory views of the effect of DC on innovation in the existing literature by revealing the nonlinear relationship of DC and RIP and the important roles of KA and KIC in that relationship. The new insights into the role of KIC as a threshold for the DC–RIP link provide a direction for firms to control the pace of digital transformation.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

The purpose of technology mergers and acquisitions (M&A) is to achieve innovation. The authors use the data from the China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction to technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation.

The authors use data from China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction of technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation. The empirical research shows that the cross-sectoral M&A is popular in the market and is positively correlated with cumulative abnormal return (CAR) and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill.

The empirical research shows that cross-sectoral M&A is popular in the market and is positively correlated with CAR and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill. In addition, empirical results show that there is an inverted U-shaped relationship between technology-oriented M&A and innovation output, and the inflection points are 41.8%, 48.9% and 38.8%, respectively.

The research contributions of this paper are as follows: first, most domestic studies simply and roughly measure the degree of technical relevance based on whether the firms belong to the same industry and whether there is common knowledge between them, but the authors provide a more accurate measure of technology-oriented M&A. Second, in the research on the economic consequences of technology-oriented M&As, a large number of literatures have mainly focused on the innovation performance of the acquirer after deals, including the number of patent applications, the number of patent citations, innovation output, etc., and they pay less attention to its impact on the market reaction and goodwill.

The absorptive capacity (AC) leads to firm performance and influences the development and evolution of capabilities and routines, but the influence of AC in projects remains unclear. Therefore, this study aims to investigate the effect of AC on project performance (PP) in the construction industry of Sao Paulo State, Brazil.

The authors conducted a survey questionnaire with project managers and collected 157 responses in the construction sector. They also used confirmatory factor analysis (CFA) and multiple linear regression techniques to assess the data.

The study provides empirical evidence that realized absorptive capacity (RAC) has a direct and indirect positive effect on PP. Conversely, the potential absorptive capacity (PAC) only indirectly impacts PP through project management practices (PMPs). PAC and RAC positively influence PMPs that in turn positively influence PP. The findings reinforce the relevance of AC to the development of internal knowledge for processes and routines, thereby enhancing PP.

The findings provide practical implications: the AC influences PP by refining and adapting routines. Moreover, the consistent application of accepted practices is not enough for PP, but the ability to adapt, adjust and transform the relevant knowledge into routines.

This paper provides empirical evidence that the knowledge application of PMPs improves organizational performance through PP. However, despite what the literature has discussed, this paper proved that AC has no effect as a moderating factor between PMPs and performance; however, AC's role significantly impacts PP through PMPs.

The growing relevance of environmental sustainability calls for identification of factors that contribute to green innovation and build green corporate reputation. Drawing on the resource-based view theory, this study aims to explore the influence of green logistics knowledge, green customer knowledge, green supplier knowledge, green competitor knowledge, non-supply chain learning on green innovation and green corporate reputation.

This study adopts the quantitative research method where questionnaire is used to gather data from managers of the sampled 208 small and medium enterprises (SMEs). The structural equation modelling is used to analyse the survey data and test the proposed hypotheses.

The findings reveal that non-supply chain learning, green customer knowledge and green competitor knowledge have both direct and indirect impact on green innovation and green corporate reputation. However, green supplier knowledge and green logistics knowledge directly impact green innovation but indirectly impact green corporate reputation through green innovation.

Despite the growing literature exploring the relationship between learning, innovation and reputation, their literature in emerging economies remains underdeveloped. This study provides empirical evidence to confirm the role of non-supply chain learning and green supply chain knowledge in building green corporate reputation and developing green innovation of SMEs in an emerging economy.

Till now no study has been undertaken which test the knowledge management processes for creating dynamic capabilities on the basis of organization structures with interpersonal trust as an important variable. This paper serves as a preliminary study proposing an integrated conceptual model that unmistakably unifies the notions of knowledge management and dynamic capability.

Through an exhaustive literature review, the study explores the role of knowledge management in building dynamic capabilities within the organizations. Through the available literature, authors have attempted to study the relevance of knowledge management against the backdrop of Structuration theory.

Through their proposed framework, authors posit that the structural elements of an organization set the tone for knowledge management within the organization. Organizations face dynamic challenges from the external environment, and in absence of interpersonal trust the creation of dynamic capabilities becomes difficult.

First, the current study enriches the growing research interest in Knowledge management. Second, the study connects Knowledge management and interpersonal trust within the organizations, which in turn is influenced by the structure of the organization. Structures created in the organization decide the direction, quality and quantity of knowledge sharing within the organizations both through social systems and through formal reporting systems. Thus, this paper serves as a preliminary study proposing an integrated conceptual model that unmistakably unifies the notions of knowledge management and dynamic capability.