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Different studies have analyzed the relationship between organizational learning (OL) and innovation performance (IP). However, the question of how innovation culture (IC) affects the relationship between OL and IP remains unexplored. This study aims to examine the impact of IC on the relationship between OL and various dimensions of IP, including product, process and objective innovation.

A research model was developed and performed based on the relevant literature in the field of OL, IC and IP. The hypotheses are tested with the data collected from companies operating in an intensive knowledge-based industry.

Based on the results of 625 questionnaires completed by pharmaceutical companies, OL activities and IC can result in product and process innovation. However, this relationship was not supported for the objective innovation. Furthermore, in terms of the moderating role of IC in the relationship between OL and IP dimensions, the results were significant.

The findings help to gain a better understanding of how organizational commitment by creating a culture for innovation can help to maximize the benefits of continuous OL in product and process innovation.

Considering the three aspects of IP, it is the first survey of the contribution of OL in firms’ IP with considering the moderating role of IC. The proposed model would enrich the relevant literature and provide us with better understanding how OL contributes to the IP.

Innovative organizations are increasingly facing challenges in a dynamic market to address corporate social responsibility (CSR) issues; however, research on how organizational learning (OL) contributes to organizations’ social responsibility and innovation remains sparse. This study aims to bridge the gap in previous research and examines how OL and dynamic capabilities (DCs) act as drivers of CSR performance (CSRP) and innovation performance.

This study is survey-based and uses time-lagged, multisource data from 151 pharmaceutical industry-related companies in Iran. Structural equation modeling was applied to test the validity of the measurement model and hierarchical regression was used to test the key hypotheses.

DCs mediate the relationship between OL and CSRP. Moreover, CSRP significantly mediates the relationship between OL and innovation.

Drawing on the perspective of DCs, this research is among the first to offer new insights in a new context on what antecedent conditions lead to the successful implementation of organizational CSRP and how CSRP would, in turn, lead to subsequent innovation performance improvement.

The direct impact of organizational learning (OL) on organizational performance has been studied over the past two decades. However, how OL contributes to organizational innovation still remains under-researched. Based on the knowledge-based view of the firm and dynamic capability theory, we developed a theoretical framework in order to empirically examine how OL offers organizations the essential tools for creating dynamic capabilities (DCs), which pave the way for innovation performance (IP).

The authors apply a time-lagged, multisource and survey-based research designed to test the proposed model in the pharmaceutical industry where knowledge is a source of innovation. The data collected from companies operating in such an industry were analyzed by utilizing hierarchical regression analysis to explore how OL could lead to IP through DC.

The results indicated that OL is positively, significantly associated with DCs, as well as its dimensions of learning, integrating and reconfiguring capabilities. The findings showed that these capabilities are significant predictors of innovation performance. In addition, the findings revealed that innovation culture significantly moderates the relationship between DCs and innovation performance.

By dedicating more time and resources, managers can reinforce dynamic capabilities as a strategic tool to generate new knowledge and distribute it across the organization, which can go a long way toward boosting innovation performance in the pharmaceutical industry. This study offers researchers and practitioners invaluable insights into how effective OL can enhance firm-level innovation performance through dynamic capabilities.

The purpose of this research is to propose a framework for developing business intelligence systems (BIS).

Following a qualitative research method, a comprehensive framework at organizational and individual level, as well as team level, was developed.

The findings revealed that team-level influential factors play a more significant role in BIS development success. The results also indicate that BIS development relies on suppliers, customers and their relationships, whereas the supplier side has a more significant impact on determining successful development. Drawing on these findings, embedded knowledge, knowledge management process capability and project team members’ interaction were identified at team level on supplier side which significantly influence the success of BIS development.

This research provides insights into a framework toward successful development of BIS.

The findings of this exploratory study would be useful for planners and managers of BIS development projects to enhance success probability of such projects.

The purpose of this study is to use correlation analysis to understand how knowledge structure, task structure and collaboration affect collective knowledge (CK) by the mediating mechanism of communication.

Drawing on an existing gap in the literature related to CK, a research model with five hypotheses is proposed. The hypotheses were analyzed based on data collected from 114 work-team practitioners using structural equation modeling.

The results indicate that communication, knowledge structure, task structure and collaboration significantly contribute to CK and that communication partially mediates the impact of these constructs on CK.

The value of the current research is in its contribution to the understanding of CK formation.

Hope and death anxiety as the important sources of adjustment can affect the attitude, health status and quality of life in patients undergoing hemodialysis. Hopelessness and death anxiety are considered as the important factors in patients undergoing hemodialysis, because these can avoid non-adherence and increase mortality rate. This study aims to investigate the effect of the cognitive–behavioral intervention on hope and death anxiety in patients undergoing hemodialysis.

In this randomized controlled clinical trial, 84 patients undergoing hemodialysis were included, who were then divided into two groups as the cognitive–behavioral intervention group (n = 42) and the control group (n = 42). The experimental group received eight sessions of individual chair-side cognitive–behavioral intervention. To measure the hope level and death anxiety, Hearth Hope Scale and Templer’s Death Anxiety Scale were used as tools once at the beginning and once at the end of the study.

The mean scores of the hope levels in the intervention group significantly improved compared to the control group. Furthermore, the mean scores of the death anxiety levels significantly decreased in the intervention group compared to the control group.

Cognitive–behavioral interventions are significantly effective on promoting the level of hope and decreasing the level of death anxiety in patients undergoing hemodialysis. Therefore, applying this psychological intervention to design the individual education programs is recommended.