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This two-part study aims to contribute to the body of knowledge on team development by examining the development of self-managing teams (SMTs) in healthcare. Based on an exploration of the team development literature, a perspective on SMT development was created, which suggested that SMTs develop along a non-sequential pattern of three processes–team management, task management and boundary management and improvement–that is largely the result of individual, team, organizational and environmental-level factors.

The perspective on SMT development was assessed in a Dutch mental healthcare organization by conducting 13 observations of primary mental healthcare SMTs as well as 14 retrospective interviews with the self-management process facilitator and advisors of all 100 primary mental healthcare SMTs.

Empirical results supported the perspective on SMT development. SMTs were found to develop along each of the three defined processes in a variety or possible patterns or simultaneously over time, depending on many of the identified factors and three others. These factors included individual human capital, team member attitudes and perceived workload at the individual level, psychological safety, team turnover, team size, nature of the task and bureaucratic history at the team level, and management style and material and social support at the organizational level.

This study provides a non-sequential model of SMT development in healthcare, which healthcare providers could use to understand and foster SMTs development. To foster SMT development, it is suggested that cultural change need to be secured alongside with structural change.

Even though various team development models have been described in the literature, this study is the first to indicate how SMTs in the healthcare context develop toward effective functioning.

This study aims to shed lights on the dynamics of involving and sharing knowledge with stakeholders in the process of new service development (NSD) over time.

The paper is based on a paradigmatic case focused on the development of the digital MBA program by the School of Management of Politecnico di Milano. Primary and secondary data have been largely collected and analyzed, involving multiple stakeholders of the development process.

This study describes how several stakeholders have been involved during the phase of the NSD process, showing two variables that ruled their involvement: the level of control exerted by the School on the stakeholders and the level of flexibility of the stakeholders.

This research offers insights to the understanding of the dynamics of involving and sharing knowledge with multiple-stakeholders in NSD. From a theoretical perspective, it contributes to stakeholder theory linking it with the service management literature, highlighting the role of cyclical fluctuations in the involvement activities.

This research offers insights to managers dealing with the development of new services, offering them a novel view on how various stakeholders may be involved over time, in different moment and in different ways, to properly enhance the development process thanks to their knowledge sharing.

This paper contributes to the service management literature emphasizing the role of multiple stakeholders while providing insights and suggestions to manage the complex relationships created by their involvement and their knowledge.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

This paper empirically investigates the processes by which manufacturing firms create radical innovations in their core production process, referred to as radical manufacturing technology innovations (RMTI). The purpose of this paper is to improve the understanding of the processes and practices manufacturing firms use to create RMTI.

Creation processes for 23 RMTI projects from diverse industry and technology contexts are explored. Data were collected via semi-structured interviews, and an inductive analysis was carried out to identify similarities and differences in RMTI types and creation processes.

Three types of RMTI and three alternative RMTI creation processes are revealed and characterized. An integrated view is developed of the activities of the equipment supplier and the manufacturing firm, highlighting their different roles and interaction across the three RMTI creation process types.

The exploratory design limits the depth of the analysis per RMTI project, and the focus is on manufacturing technology innovations in one country. The results extend previous case and context-specific findings on RMTI creation processes and provide novel frameworks for cross-case comparisons.

The manufacturing firms’ proactive role in RMTI creation is defined. A framework is proposed for using different RMTI creation processes for different types of RMTI.

This study addresses recent calls for empirical research on understanding the ways in which process innovations unfold in manufacturing firms. The findings emphasize the role of manufacturing firms as creators of RMTI in addition to their role as innovation adopters and implementers and reveal the suitability of different RMTI creation processes for different RMTI types.

The purpose of this study is to provide a contextualized understanding of how business-to-business (B2B) firms use the sales development function for efficient and effective lead funnel management.

The authors adopted a qualitative field-study approach and interviewed 13 people from eight firms. While software as a service (SaaS) firms are the most prevalent application context for the sales development function, the authors also included respondents from non-SaaS firms to develop an in-depth understanding of the contextualized nature of the sales development process.

Sales development processes can be applied in outbound prospect-focused, outbound account-based, inbound prospect-focused and inbound account-based lead management contexts. The sales development processes of lead research, engagement and handover vary depending on the nature of the lead management context. These processes are supported by the appropriate design of organizational, technological and people platforms.

The authors explain how sales development as a form of inside sales can support effective lead funnel management in B2B firms through technology-enabled lead research and nurture processes designed to prepare customers for meaningful conversations with field sales.

To the best of the authors’ knowledge, this study is the first to focus purely on the sales development function as a form of inside sales. They explain how the sales development processes relating to lead research, engagement and handover are conducted in four distinct application contexts to qualify leads for the outside salesforce.

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and failure cases of the Company.

The proposed research framework is as follows: first, prospective studies of the NPD process are performed using the existing literature and preliminary references; second, comparative analysis between the current processes and a NPD process is performed; third, phase-based evaluations upon failed product cases are conducted with a NPD process so as to identify the abridged steps and root-causes of failures; finally, renewed priorities are set forth by utilizing the analytic hierarchy process analysis and questionnaire analysis upon the above identified causes of failures.

The resulting accomplishments include the establishment of NPD processes that resonates with the current states of Company “T”, which, in turn, ensures the increase of efficiency, the decrease in development duration and the strategy of capacity-concentration and priority-selection.

As Company “T”’s development process is outdated and products are developed without adequate market information research and feasibility analysis, the percentage of failed development project is as high as 87 per cent. Thus, this study aims to develop an appropriate NPD process of Company “T” by analyzing the existing NPD process and failure cases of the Company.

This study attempts to create new insights into innovation management through the integration of innovation management processes and sustainable, iterative circles. Through the exploration of the use of sustainable, iterative circles in a manufacturing environment, this paper explores their role in facilitating customer-focused innovation practices. Other supporting antecedences for innovative behavior are reviewed, and their combined effect upon delivering cost-effective product developments are assessed.

Data were collected through semi-structured interviews in manufacturing organizations from the automotive industry. Interviews were conducted with senior functional managers to interpret the application of sustainable, iterative development circles. Analysis of the data was undertaken via thematic analysis based upon pertinent and emergent themes.

Sustainable, iterative development circles overcame the inherent path-dependency of traditional linear development approaches, whereas, traditional approaches structure the involvement of key business functions, iterative circles facilitate more flexible approaches to product development that more closely met the requirements of the customer, especially when those requirements are in a state of flux.

This iterative, customer-centric approach to product development reflects the increasingly dynamic market environments in which manufacturing organizations operate. Using this approach helps to focus the organization’s attention upon customer requirements rather than the challenges of adhering to the rigid dogma of a chosen development methodology.

This study proposes a new approach toward the development of innovations in manufacturing organizations utilizing the sustainable, iterative circles, and therefore, contrasts with the traditional, linear development methodologies that are usually employed.

Insufficient productivity development in the global and Finnish infrastructure sectors indicates that there are challenges in genuinely achieving the goals of resource efficiency and digitalization. This study adapts the approach of capability maturity model integration (CMMI) for examining the capabilities for productivity development that reveal the enablers of improving productivity in the infrastructure sector.

Civil engineering in Finland was selected as the study area, and a qualitative research approach was adopted. A novel maturity model was constructed deductively through a three-step analytical process. Previous research literature was adapted to form a framework with maturity levels and key process areas (KPAs). KPA attributes and their maturity criteria were formed through a thematic analysis of interview data from 12 semi-structured group interviews. Finally, validation and refinement of the model were performed with an expert panel.

This paper provides a novel maturity model for examining and enhancing the infrastructure sector’s maturity in productivity development. The model brings into discussion the current business logics, relevance of lifecycle-thinking, binding targets and outcomes of limited activities in the surrounding infrastructure system.

This paper provides a new approach for pursuing productivity development in the infrastructure sector by constructing a maturity model that adapts the concepts of CMMI and change management. The model and findings benefit all actors in the sector and provide an understanding of the required elements and means to achieve a more sustainable built environment and effective operations.