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Organizational creativity and innovation are inherently complex phenomena, and subject to a myriad of broad contextual and social influences. As the evidence grows for the link between innovation and organizational effectiveness and, ultimately, organizational survival, there is no doubting the need for theoretical and practical advances in our understanding. The complex nature of these constructs, however, requires that such efforts utilize a multi-level lens. This chapter discusses key aspects of creativity and innovation in organizations, including fundamental construct definition issues, which underscore the need for a multi-level perspective. It also reviews extant theoretical perspectives for their contributions to a multi-level understanding, and the research in two key areas of social influence – group factors and leadership – that have received substantial attention in the organizational literature. The review and discussion of these areas reveal not only numerous advances, but also substantial limitations that must be resolved through more complex and comprehensive (i.e., multi-level) approaches. The chapter concludes with several recommendations intended to guide and inform future work in the organizational creativity and innovation field.

This chapter forwards a justification, an explanation, and numerous examples related to an emerging integrated sustainability management theory and its connections to other management theories and key-related concepts including systems and immersion. An integrated approach to sustainability solutions presents several implications for educators, researchers, practitioners, and policymakers, including the need to consider urgent and immediate responses that address sustainability crises at multiple levels and in multiple systems. This chapter is intended to promote reflection, dialogue, and a collective call to action to secure a sustainable world for present and future generations.

The purpose of this paper is to adopt the recipient’s perspective to explore multi-level antecedents’ effects on knowledge transfer using social capital and social network theories.

Social network and general attribute survey responses from 331 employees were analyzed through hierarchical linear modeling to verify the study’s multi-level research model and hypotheses.

A recipient’s trust in colleagues positively influences knowledge transfer and company tenure has a negative impact. At a dyadic level, the perceived expertise of a source, in addition to strength of ties, exerts a positive effect on knowledge transfer. Additionally, a recipient’s network centrality moderates the effects of dyadic relationships on knowledge transfer.

This study deepened the current understanding of the role of social capital in knowledge transfer from a recipient’s perspective. Three dimensions of a recipient’s social capital respectively showed significant, but different types of influence on knowledge transfer. Interaction effects between individual and dyadic level antecedents should be considered as well.

Both a strong tie at a dyadic level and a diverse network at an individual level should be nurtured to facilitate knowledge transfer. In addition, bi-directional knowledge transfer between seasoned employees and new employees should be promoted.

Most studies have focused on motivating a knowledge source, assuming that a recipient is always ready to adopt a source’s knowledge. To reduce this bias, the current study examined social capital’s role in knowledge transfer from a recipient’s perspective.

While the importance of interorganizational learning (IOL) as a resource for strategic renewal has been acknowledged in research, limited attention has been placed on exploring IOL in complex networks or ecosystems. This paper aims to bridge this gap in literature through conceptualizing IOL in the tourism industry at the micro, meso and macro levels of the ecosystem.

This paper applies a narrative literature review to explore the tourism industry and IOL. Through insights which evolved from literature, exploratory typologies and propositions were developed forming the basis of the multi-level typology of interorganizational learning in the tourism industry.

Based on the multi-level typology of interorganizational learning in the tourism industry, market actors may develop in isolation, in clusters or networks, with the aggregate output of these formations constituting the basis of the tourism ecosystem. Within the multi-layers of the tourism ecosystem, IOL may be subdivided into seven distinct typologies, with learning ranging from active, passive, interactive to asymmetric. Each typology of IOL is subsequently influenced by relational ties, which may range from collaborative to competitive, and power distribution, which may lead to symmetric or asymmetric relationships.

The novelty of this paper lies in an ecosystem perspective of IOL in the tourism industry, outlining the multi-level nature of IOL in a destination.

Digital platforms (DP) are transforming service delivery and affecting associated actors. The position of DPs is impacted by the regulations. However, emerging economies often lack the regulatory environment to support DPs. This paper aims to explore the regulatory developments for DPs using the multi-level perspective (MLP).

The paper explores regulatory developments of ride-hailing platforms (RHPs) in India and their impacts. This study uses qualitative interview data from platform representatives, bureaucrats, drivers, experts and policy documents.

Regulatory developments in the ride-hailing space cannot be explained as a linear progression. The static institutional assumptions, especially without considering the multi-actors and multi-levels in policy formulation, do not serve associated actors adequately in different times and spaces. The RHPs regulations must consider the perspective of new RHPs and the support available to them. Non-consideration of short- and long-term perspectives of RHPs may have unequal outcomes for established and new RHPs.

This research has implications for the digital economy regulatory ecosystem, DPs and implications for policymakers. Though the data from legal documents and qualitative interviews is adequate, transactional data from the RHPs and interviews with judiciary actors would have been insightful.

The study provides insights into critical aspects of regulatory evolution, governance and regulatory impact on the DPs’ ecosystem. The right balance of regulations according to the business models of DPs allows DPs to have space for growth and development of the platform ecosystem.

This research shows the interactions in the digital space and how regulations can impact various actors. A balanced policy can guide the paths of DPs to have equal opportunities.

DP regulations have a complex structure. The paper studies regulatory developments of DPs and the impacts of governance and controls on associated players and platform ecosystems.

Empathy, or the process of feeling or knowing how another feels, is a critical component of social interactions, and may be of particular importance to organizational functioning. This chapter addresses a literature gap on empathy in organizational contexts by providing a review of empathy research in a management setting.

We integrate the developing field of empathy research and provide a conceptual framework built on Ashkanasy’s (2003) five levels of analysis in emotions research, emphasizing within-person, between-person, interpersonal, group-level, and organization-level processes.

Our model addresses the complaint that empathy definitions are not consistent by illustrating how the level of analysis alters the view of empathy’s role in organizations.

This multi-level model of empathy provides a framework to identify gaps in the empathy literature and make recommendations for future research.

This new model of empathy will help practitioners use and understand empathy by providing a structure of how empathy is manifested in organizational settings.

The field of empathy research has been limited by inconsistent definitions and a lack of a model that outlines how empathy is used in organizations. This multi-level model of empathy provides the necessary framework for researchers and practitioners to advance the research and practice of empathy in organizations.

1. INNOVATION IN ORGANIZATIONS: A MULTI-LEVEL PERSPECTIVE ON CREATIVITY

This chapter provides an in-depth understanding of the cognitive processes that facilitate creativity from a multi-level perspective. Because cognitive processes are viewed as residing within the individual and as an individual-level phenomenon, it is not surprising that a plethora of research has focused on various cognitive processes involved in creative production at the individual level and the factors that may facilitate or hinder the successful application of these processes. Of course, individuals do not exist in a vacuum, and many organizations are utilizing teams and groups to facilitate creative problem solving. We therefore extend our knowledge from the individual to the team level and group level, providing more than 50 propositions for testing and discussing their implications for future research.

Multi-level research provides a better understanding of trust and distrust, and better-specified theory, when attending to processes one-level up and one-level down from the behavior it seeks to explain. Looking to the cross-level dynamics immediately surrounding the level on which a study of trust and of distrust would focus, advantages are identified when middle-range models are tested to capture trust and distrust in particular contexts, such as families, organizations, or communities.

This study aims to conduct a critical review of the research on the sharing economy to identify its key intellectual foundations and their evolution and offers thematic and methodological recommendations for future research to advance the domain.

A tri-method approach using bibliometric (co-citation) analysis, thematic content analysis and a quantitative systematic literature review was conducted on sharing economy research in hospitality and tourism journals, up to and including May 2020.

The findings from the three methods were coherent and provide a clear picture of the fact that while research on the sharing economy in hospitality and tourism has achieved significant depth, the breadth of the understanding of this area remains somewhat limited. Each of the three periods of research on the sharing economy identified in the study were marked by a focus on specific thematic areas, with largely Western-situated researchers demonstrating limited theoretical engagement and using a limited range of methods and perspectives (disciplinary, stakeholders and sectors) to examine these themes.

Recommendations for future thematic research opportunities are provided using a multi-level perspective. The present review does not include research that incorporates the impacts of COVID-19, which has significantly disrupted the hospitality and tourism industry and is the focus of current research in the field. However, the review represents the largest and most comprehensive assessment of the state of research on the sharing economy prior to COVID-19, and, as such, can serve as a valuable baseline for future reviews of sharing economy research during and after the pandemic.

In contrast with previous literature reviews, the present review is comprehensive in its scope, methodology and temporal coverage of sharing economy research. It also examines the evolution of research on the topic, enabling a more nuanced identification of gaps and future thematic and methodological research opportunities.