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The purpose of this paper is to shed light on the ongoing debate of dividend policy, which is considered one of the most controversial topics in corporate finance literature.

The paper provides a survey of literature; it, first, outlines the main theoretical arguments of dividend policy and then critically discusses the most important and influential previous empirical studies in the dividend literature.

The analysis of literature review detects that no general consensus has yet been reached after many decades of investigation, despite extensive debate and countless research. Consequently, the main motivation for paying dividends is still unsolved and thus remains as a puzzle. In addition, there is no doubt that carrying the dividend debate into the context of emerging markets attaches more pieces to this puzzle.

This paper offers an updated and more comprehensive survey of literature by examining the relationship between theory and practice from both developed and emerging markets.

The access to high quality, a reliable and affordable basic healthcare service is one of the key challenges facing the rural and semi‐urban population lying at base of the pyramid (BoP) in India. Realizing this as a social challenge and an economic opportunity (shared value), there has been an emergence of healthcare service providers who have bundled entrepreneurial attitude and passion with available scarce resources to design and implement cost‐effective, reliable and scalable market solutions for the BoP. The purpose of this research paper is to understand the underlying operating principles of these self‐sustainable business models aimed at providing healthcare services to the BoP segment in India.

The empirical context involves the use of case study research methodology, where the source of data is published case studies and the company websites of four healthcare organizations who have made a socio‐economic difference in the lives of the rural and semi‐urban population lying at the BoP in India.

The analysis and findings reflect the key operating principles for sustainable healthcare business ventures at the BoP. These include focus on 4A's (accessible, affordable, acceptable and awareness), local engagement, local skills building, learning by experiment, flexible organizational structure, dynamic leadership, technology integration and scalability.

This research study has focused mainly on the published case studies as source of data.

The intent is to understand and bring forth the learning and guiding principles, which act as a catalyst for the future researchers and business ventures engaged in BoP context.

The purpose of this paper is to investigate the relationships between operations capability, productivity, and business performance in the context of environmental dynamism.

A proposed conceptual framework grounded in the resource-based view (RBV) and dynamic capability view (DCV) is analyzed using archival data from 193 automakers in the UK.

The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity.

The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment.

Addressing the two important issues of moderation (i.e. environmental dynamism) and mediation (i.e. productivity), this study makes important contributions to the field of operations management by applying the RBV and DCV.

Cloud computing is a major enabling technology for Industry 4.0 and the Big Data era. However, cloud-based firms, who establish their businesses on cloud platforms, have received scant attention in the extant operations management (OM) literature. To narrow this gap, the purpose of this paper is to investigate cloud-based firms from an operations strategy perspective.

A two-phase multi-method approach was adopted. In the first phase, content analysis of 27 reports from cloud-based firms was conducted, aided by text mining keyword extraction. Two data-related operations capabilities were identified and hypotheses were posited regarding the relationships between data resources (DR), operations capabilities and firm growth (FG). In the second phase, a sample of 190 cloud-based firms was collected. Seemingly unrelated regression and bootstrapping method were employed to test the proposed hypotheses using the survey data.

The content analysis indicates data as a key resource and both data processing capability and data transformational capability as critical operations capabilities of cloud-based firms. FG is regarded as a top priority in the cloud context. The regression results indicate that DR and the two capabilities contribute to the growth of cloud-based firms. Moreover, a follow-up bootstrapping analysis reveals that the mediating effects of the two capabilities vary between different types of FG.

To the authors’ best knowledge, this is one of the first OM studies on cloud-based firms. This study extends the operations strategy literature by identifying and testing the key operations capabilities and priorities of cloud-based firms. It also provides insightful implications for industrial practitioners.

The purpose of this paper is to explore how the sourcing process of the electric sports car sector is changing with respect to competitive advantage, required capabilities and emerging opportunism.

The case study data collection covered the period from January till August 2017, which implies a total period of eight months. The empirical analysis implies a sequence of 20 conducted interviews with senior managers, team leaders and operational employees from various organizational departments and functions within Company A, various suppliers and experts from the automobile industry as well as primary and secondary literature.

This work makes a contribution to the operations capability literature. It highlights the important role that sourcing will play to achieving strategic advantage in the electric sports car segment. Four key operational capabilities are emerging in the operating model. The first links to “capacity” and the ability of suppliers to be locally based so that they can deliver high-quality products and services in the minimum time (optimizing the “time-value” configuration). The second is the “design” of the supplier network. The third relates to “supplier management.” Finally, the fourth capability relates to the ability of the firm to “integrate” and “align” their marketing and IT planning processes with their sourcing process.

Throughout the adaption of a sourcing framework and its extension to consider operational capabilities, the authors have begun to answer the research question of how the sourcing process for the supply of new electric powertrain components is being transformed. These initial findings, the authors intend to expand with more advanced case study work with the firm that will involve empirical modeling of process efficiency and inventory management.

The work closes the gap regarding the need for practical application tools, designed for process managers, who are being confronted by turbulent, unpredictable and fast moving technological-driven market environments. Although the sourcing framework was developed to test the impact of the electric mobility trend, it can likewise be applied for the sourcing of components in other fast changing environments as well.

The paper raises the issues of the social role of the smart city planners in providing city spaces to enable the servicing of electric vehicles and to assist their production by developing the skills, capacity and capabilities of local city populations which will be needed to sustain and scale up any locally based operating model of electric vehicle production and servicing.

Although much has been written about the technological challenges of electric vehicles and the rise of new entrants such as Tesla to challenge the dominance of the sports car manufacturer’s very little work to data have explored the business-to-business (B2B) dimensions. The focus has been largely with the business-to-consumers (B2C) market.

The concept of open innovation has captured the attention of both academics and practitioners alike. However, there is a dearth of research on how innovations can be diffused within open innovation ecosystems, a critical condition for the sustainability of such ecosystems. In this regard, the study advances a research agenda for guiding future inquiries into innovation diffusion within open innovation ecosystems.

Based on a systematic review of the extant literature on open innovation, this article identifies knowledge gaps in innovation diffusion, along with recommendations for bridging these gaps in the future. The study advocates that future research should consider not only innovation generation processes, but also innovation diffusion processes, especially in light of the growing application of open innovation in the context of digital goods and services.

Subscribing to an evolutionary view of innovation diffusion, the article draws on a five-phase framework – knowledge, persuasion, decision, implementation, and confirmation – to illustrate the roles played by three distinct yet interconnected parties (i.e. platforms, complementors, and individuals) within open innovation ecosystems as well as the research opportunities it brings.

The article examines the critical, yet underexplored role of innovation diffusion in sustaining open innovation ecosystems and outlines potential research avenues that can contribute to growing the understanding of the innovation diffusion process.