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Organisations have to be ambidextrous to survive in modern times. This study, therefore, aims to investigate the influence of contextual leadership on exploratory and exploitative innovation. Environmental dynamism was the moderator in this relationship, and innovation climate was the mediator.

The research design was a quantitative study, using a Web-based survey questionnaire, which consisted of valid and reliable scales. There were 1,204 respondents who completed the survey. Analyses included reliability, validity tests and structural equation modelling to test the hypothesised relationships among the variables.

The results show that exploitative and exploratory innovation is predicted by the innovation climate, which in turn is predicted by contextual leadership. The findings include a slight moderating effect of environmental dynamism on these relationships. The results suggest that contextual leadership is a significant predictor for improving innovation climate.

As contextual leadership explains 33% of the variance in organisational climate, companies can benefit from developing their leaders to create climates that promote innovation. At increased levels of environmental dynamism, innovation efforts should increase.

Contextual leadership is a crucial element to build innovation-friendly workplaces. The study addresses the gap in research on the influence of contextual leadership on exploitative and exploratory innovation with the mediating and moderator effect on this relationship.

The authors aim to measure the effects of ambidextrous innovation and its mix strategy on organizational obsolescence with the moderating roles of environmental turbulence.

Hierarchical regression analysis was used to test the hypotheses on the basis of the survey data of 198 firm employees in China.

Both exploratory and exploitative innovations significantly restrain organizational obsolescence. The complementary strategy of ambidextrous innovation is negatively correlated to organizational obsolescence, but the impact of balanced strategy is not significant. Environmental turbulence negatively moderates the relationship between exploratory innovation and organizational obsolescence, whereas it cannot moderate the effect of exploitative innovation.

The empirical and conceptual findings have important implications for organizations countering obsolescence through the construction of a mix strategy of ambidextrous innovation. This study enriches and extends obsolescence theory by introducing the joint mechanism of ambidextrous innovation and environmental turbulence.

The purpose of this paper is to identify the effect of organisational culture by its two dimensions (innovative organisational culture and conservative organisational culture) on innovative performance and also investigate the moderating role of the job type on innovative performance in the relationship between innovative organisational culture and conservative organisational culture.

For this study’s purposes, 321 questionnaires from employees of Jordanian private universities were analysed. Convergent validity and discriminant validity tests were performed. Data reliability was confirmed. A bootstrapping technique was used to analyse the data. The multi-group analysis was performed to investigate the moderating role of job type.

The results of this study indicate that the innovative organisational culture will improve innovative performance and that a conservative culture reduces innovation opportunities. Moreover, innovative organisational culture promotes innovative performance for all employees regardless of who holds administrative positions.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results. Moreover, this study adopted subjective measures and the results are limited to one country, Jordan.

This paper contributes to drawing the attention of senior management to the importance of innovation culture in the performance of innovation at Jordanian private universities surveyed, in particular, and other organisations in general.

The social impact of this study is to respond to the challenge of building an innovation-based culture and to limit the effects of a conservative culture that limits the response to innovation.

This study has important implications for leaders in general. It also highlights the need for organisations to develop an orientation towards innovative organisational culture instead of the classic approach based on the conservative culture of all its members (both administrative and non-administrative employees) and to invest in training that supports this trend, thus increasing their innovative performance, which contributes to raising their capabilities to excel, compete and achieve high levels of performance.

Following the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.

Drawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.

The results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.

The conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

In this chapter, we explore the relationship between organizational complexity and firm-level innovation. We define and operationalize a new construct, experienced complexity, which is the extent to which the organizational environment makes it challenging for decision makers to do their jobs effectively. We distinguish experienced complexity from structural complexity, which is the elements of the organization, such as the number of reporting lines or integrating mechanisms, that are deliberately put in place to help the organization deliver on its objectives, and we argue that structural complexity correlates positively with firm-level innovation, while experienced complexity correlates negatively with innovation. Using a novel dataset combining survey and objective data on 209 large firms, we find support for our arguments.

The literature on organizational learning is very rich and complex. Although most research on learning suggests that it involves individual cognitive, cultural, social, and institutional changes and development, there are slight variations in terms of the number of factors various authors associate with these changes. We discuss the work of several authors as providing a contextual framework for viewing learning as involving both the adoption and diffusion of innovations.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

Accounting for quality and improved organizational performance has recently received attention in management control research. However, the extent to which process innovation changes have been integrated into management control research is limited. This paper contributes to that integration by drawing from institutional adaptive theory of organizational change and process innovation strategies. The paper utilizes a 2 by 2 contingency table that uses two factors: environmental conditions and organizational change/learning strategies, to build a process innovation framework. A combination of these two factors yields four process innovation strategies: mechanistic, organic, organizational development (OD) and organizational transformation (OT).

The four process innovation typologies are applied to characterize innovations in accounting such as activity based costing (ABC). ABC has been discussed as a multi-phased innovation process that provides an environment where both the initiation and the implementation of accounting change can occur. Technical innovation can be successfully initiated as organic innovation that unfolds in a decentralized organization and requires radical change and double loop learning. Implementation occurs best as a mechanistic innovation in a hierarchical organization and involving incremental change and single loop learning. The paper concludes that if ABC is integrated into an OD or OT intervention strategy, the technical and administrative innovation aspects of ABC can be utilized to manage the organization’s operating activities.

For an organization to be competitive, it needs to constantly innovate. For this to happen, you need the right combination of leaders, talented people, organizational characteristics, and culture. In the chapter, the authors included different perspectives of leadership and models of organizational culture. Both are relevant topics in the field of organizational behavior related to innovation as well as organizational effectiveness.

Contemporary organizations are facing an operating environment characterized by volatile, uncertain, complex, ambiguous, and “permanent whitewater.” To sustain high performance in this context, organizations must be able to change and develop as efficiently and effectively as possible. Within organizations, there are actors who catalyze and advance change in this manner; these actors are known as “champions.” Yet the scholar who wishes to conduct research concerning champions of change and organizational development is likely to be met by a highly fragmented literature. Varying notions of champions are scattered throughout extant research, where authors of articles cite different sources when conceptualizing champions; often superficially. Furthermore, many types of highly specific and nuanced non-generalizable champions have proliferated, making it difficult for practitioners and researchers to discover useful findings on how to go about making meaningful changes in their context. The purpose of this study was to address these problems for practitioners and researchers by engendering thoroughness, clarity, and coherence within champion scholarship. This was done by conducting the first comprehensive, critical yet insightful review of the champion literature within the organizational sciences using content analysis to re-conceptualize champions and develop a meaningful typology from which the field can be advanced. The chapter first suggests a return to Schön (1963) as the basis from which to conceptualize champions and, second, offers a typology consisting of 10 meta-champions of organizational change and development – Collaboration, Human Rights, Innovation, Product, Project, Service, Strategic, Sustainability, Technology, and Venture Champions – from which change practice and future research can benefit.