To address climate change, firms are increasingly forming sustainability alliances. Pursuing sustainability via such alliances is challenging as it means working with multifaceted and not necessarily compatible goals. Moreover, it often requires collaboration among heterogeneous partners outside traditional industrial contexts as well as dealing with wicked problems. This article presents a multiple-case study of eight sustainability alliances in Sweden, identifying managerial challenges and solutions over three phases where such alliances unfold. It offers a framework, tailored to each phase, to help companies fulfill their goals by proactively addressing the challenges posed by the pursuit of sustainability through alliances.

The literature on circular business models (CBMs) has generated barrier categories and taxonomies but provides an incomplete understanding of how firms develop and scale CBMs in practice. We challenge prior literature by relating barriers directly to the CBM dimensions of value creation, value delivery, and value capture. Following this approach, we analyze the Swedish manufacturing industry using qualitative content analysis and arrive at three key contributions. First, there is a distinct set of barriers affecting value creation, value delivery, and value capture. Second, the barriers are underpinned by a unique set of problems, many of which are nondecomposable. Third, most barriers inhibit the scaling of CBMs rather than their initial development. Altogether, this has major implications for understanding the nature of CBMs, productively addressing CBM barriers and problems, and scaling CBMs. We conceptualize these insights into a framework with implications for both the CBM literature and for managers innovating CBMs.

Research into the impact of innovative sustainable energy experiments and demonstrations is crucial to diversifying, scaling up, and accelerating the sustainable energy transition. Although there is vast research into sustainable energy experiments and demonstrations, research literature offers a fragmented collection of findings. A coherent overview of themes and insights regarding the transformative impact of innovative sustainable energy experiments and demonstrations on sustainable energy systems from the past, present, and near future is lacking and necessary to increase experiments and demonstrations' impact on the sustainable energy transition. The research in this study fills this knowledge gap by providing such an overview and yields novel insights into the organized function and impact of experiments and demonstrations. It spans a broad spectrum of sustainable energy technologies, the empirical domains where these are invented, developed and applied, and the stakeholders involved. The overview is the outcome of a Delphi study in which the insights of 47 international scientific research experts in sustainable energy experiments and demonstrations are bundled and explained. This study presents a thematic overview of the significant insights regarding past and current sustainable energy experiments and demonstrations and outlines a research agenda for the future. Policymakers, practitioners, and scientists can leverage this to inform their sustainable energy policies, business strategies, and research programs.

Low-technology firms face an increasingly disruptive innovation landscape as new legislation and changing market demands force them to dramatically reduce emission levels to become more sustainable. However, successfully developing and implementing sustainable technologies frequently presupposes alliances between low-technology firms (such as process industry companies) and high-tech firms (such as their specialized technology providers). Such alliances are asymmetric and problematic because of differences in approaches to learning, knowledge bases, collaboration routines, and high cognitive distance between high- and low-technology firms. Against this background, we performed a multiple case study of six asymmetric alliances operating in the food and food packaging sectors in the UK. The analysis reveals that technology distance asymmetry, technology integration complexity, and innovation capability incompatibilities prohibit technology transfer effectiveness. By mapping these themes across three phases of technology transfer, we identified a total of nine unique problems that hamper technology transfer effectiveness and, therefore, risk delaying or distorting the implementation of novel sustainable technology. The paper provides theoretical implications for the literature on innovation in LMT firms and for the literature on sustainability alliances along with practical implications for improving technology transfer between high-tech and low-tech firms considering climate change.

To stay competitive, manufacturing companies offer product–service systems (PSS) to avoid commoditization of their products. The potential to create value through PSS offerings lies in a company's ability to successfully implement the PSS business model. However, many companies are unable to realize the benefits because PSS represents significant changes to all the business model elements, which comprise value creation, value delivery, and value capture. This leads to misalignment among the business model elements, which is a topic of interest within PSS and business model literatures. This article aims to provide empirical insights into the business-model-element alignment problems and conceptualize their consequences, which manufacturing companies face during PSS implementation. This article utilizes an abductive multicase study of three Swedish manufacturing companies with long-term experience of PSS provision to provide novel insights by identifying six alignment problems that companies face as a consequence of the interaction among the three business model elements. Furthermore, we contribute to both the PSS and business model literature by conceptualizing the consequences of business model element alignment problems, explaining the three value leakages that occur as a result of inappropriate resource and capability utilization, unattractive offer configurations, and inefficient service network processes in PSS provision.

Digital healthcare platforms (DHPs) represent a relatively new phenomenon that could provide a valuable complement to physical primary care – for example, by reducing costs, improving access to healthcare, and allowing patient monitoring. However, such platforms are mainly used today by the younger generations, which creates a “digital divide” between the younger and the elderly. This article aims to identify: i) the perceived key barriers that inhibit adoption and usage of DHPs by the elderly, and ii) what DHP providers can do to facilitate increased adoption and usage by the elderly. The article draws on qualitative interviews with elderly and complementary process data from a major Swedish DHP. We find that the elderly perceives two key barriers to initial adoption of DHPs: i) negative attitudes and technology anxiety and ii) one key barrier affecting both adoption and usage – lack of trust. The analysis also identifies multiple development suggestions for DHP improvement to better accommodate the needs of the elderly, including suggestions for application development and tailored education activities. We provide an integrated framework outlining the key barriers perceived and ways to address them. In so doing, we contribute to the literature on mHealth and to the literature on platforms in healthcare.

Digital platforms have deeply transformed a wide variety of sectors. However, new platform business models often face critical legitimacy challenges. Consequently, new entrants must continuously design and redesign their business model components, particularly when entering non-platformized sectors that are highly regulated. We draw on a longitudinal case study of the emergence of digital healthcare platforms in Sweden between 2013 and 2020. The analysis unravels a dynamic process of redesigning platform business models and their constituent components in response to legitimacy debates, suggesting that permission to operate can be fragile and subject to continuous negotiation. Our findings contribute to current insights into platforms, business models, and digital innovation in complex institutional contexts. Furthermore, our work carries implications for managers and policy makers in the digital health area.

In an exploratory inquiry, involving informants in 19 global manufacturing companies in six sectors of the process industries, ideation, and concept integration during the pre-development of non-assembled products was studied. New and previously deployed constructs and concepts related to innovation in a process-industrial context have initially been developed, refined, and empirically tested. The findings demonstrate the importance of an early integration of constructs and concepts for raw material innovation, innovation-related process technology, and product innovation, as a prerequisite for successful ideation of new or improved products in the process industries. Companies in different sectors of the process industries can implement and use the novel “integrated framework” for contextualization and conceptualization of new product ideas in their development or reconfiguration of an enhanced work process for non-assembled products.

Overview: Few companies and organizations remain innovative for long periods of time, and despite high ambitions, many innovation initiatives fail to yield the desired results. Identifying how best to measure the effectiveness of innovation initiatives is key to ensuring that those efforts actually help an organization achieve its overall goals. This article offers organizations and their leaders practical advice for measuring innovation effectively. Specifically, it defines innovation measurement and its importance in precise terms and summarizes six years of our research on innovation measurement in multiple firms and industries. We articulate nine critical lessons for improving innovation measurement in real-world practice clustered into three overarching themes: Strategy, Organization, and Measurement Design. Each of the nine lessons elucidates a problem, identifies potential consequences, and proposes concrete solutions that organizations can implement as they strive to better measure and, ultimately, improve their innovation management initiatives.