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The purpose is to examine the connection between leadership and its proximal and distal outcomes on employee, team and organization-level outcomes. As a more practical endeavor, a leadership measurement is constructed and validated.

The study takes a quantitative approach, statistically analyzing 301 online survey responses to a survey of leader attributes and their organizational impacts.

This study shows that the impact of leadership is associated more with actionable behaviors than personality traits. More specifically, leader success leans on leader dependability, management mode, emotive skills and coaching style, which relate to organizational outcomes. Additionally, preventative conflict management belongs to immediate supervisory foci, whereas already escalated conflicts ought to be outsourced to e.g. HR. Further, the findings verify that management is even more about communication than previously understood. Interestingly, employee satisfaction does not predict willingness to stay and is therefore irrelevant as a predictor of employee retention. This verifies the role of satisfaction as a proximal outcome and a post-goal state. Finally, the role of psychological safety is incoherent and equivocal in relation to organizational outcomes.

As a practical ramification, we devise an instrument, the Leadership Impact Inventory, for (1) diagnosing the quality and effect of organizational leadership in an easy-to-adopt, cost-effective and quick manner and (2) analyzing the influence of various leadership dimensions on satisfaction and goals on individual, team and organizational levels.

This study expands the earlier body of research on leader influence to factors promoting not only proximal outcomes that are typically post-goal states but also distal outcomes. Further, it examines outcomes on all organizational levels, as an extension to prior studies which are typically limited to the entire organization. Finally, the study does not explore leadership as a force or process separate from culture but rather appreciates their synergy through the inclusion of cultural features. This is achieved by monitoring leader success with such subjective aspects describing employee experience and organizational culture that are associated with follower performance.

Comparative analyses in education science have traditionally focused on the category of geographic location as the comparative unit. However, comparison may involve many other units of analysis, such as culture, politics, curricula, education systems, social phenomena, and other categories of the lives of societies. Still, categories are inseparably linked to one or several geographic locations. Comparative approaches are often also dictated by the availability heuristic. Studying geographic units as the foci of comparative research is a necessary step for comparative presentation of the topic. According to Bray and Thomas, a researcher must always seek preliminary insight in the geographic unit to be analyzed before making the comparison. In social science research, a unit of analysis relates to the main object of the research, as it answers the question of “who” or “what” is going to be analyzed. The most common units of analysis are people, groups, organizations, artifacts or phenomena, and social interactions. Ragin and Amoroso have noted that comparative methods can be used to explain the commonness or diversity of results. This paper shows how comparative research can be approached in ways that have not been discussed, grounded in the historically variable understanding of the very term “comparison.” They are, for example, The Ogden-Richards triangle, The Porphyrian Tree, Classification strategies – Mill’s Canons, The chaos of the world – the order of science, Weber’s ideal types, Raymond Boudon’s formula, and the Möbius strip in comparativism.

How does business model design play a role in enabling manufacturing firms’ services? This study aims to investigate the impact of two distinct types of business model design, namely, efficiency-centered business model design (EBMD) and novelty-centered business model design (NBMD), and their effects in balanced and imbalanced configurations, on two types of services: product- and customer-oriented services.

Using matched survey data of 390 top managers and objective performance data of 195 Chinese manufacturing firms, this study uses hierarchical regression, polynomial regression and response surface analysis to test the hypotheses.

The results show that while EBMD positively affects product-oriented services, NBMD positively affects customer-oriented services. Both types of services exert a significant influence on firm performance. Furthermore, the degree of product- and customer-oriented services increases with an increasing effort level with a balance between EBMD and NBMD. Asymmetrical, imbalanced configuration effects reveal that the degree of product-oriented services is higher when the EBMD effort exceeds the NBMD effort, and the degree of customer-oriented services is higher when the NBMD effort exceeds the EBMD effort.

This study enriches the understanding of designing business models to facilitate service growth in manufacturing firms, ultimately benefiting firm performance. In addition, exploring balanced and imbalanced configurations of EBMD and NBMD offers new insights into business model dual design research.

In recent years, the robotic process automation (RPA) technology, a software-based method to automate routine tasks in business processes, has gained significant interest and adoption. However, many implementation projects fail and current literature lacks a synthesis and comprehensive overview of factors that challenge the implementation of RPA, have an impact on success or failure of projects, or, play an enabling role in an RPA project. Hence, the purpose of this research is to identify key factors that should be considered by organizations when conducting an RPA project.

The paper adopts a qualitative methodology based on data collected in a systematic literature review (SLR) and interviews with 10 RPA experts. Using inductive coding, an integrated framework of key factors is developed.

The results suggest that the key factors for a successful RPA introduction can be divided into human, organizational and technical factors. Important aspects include for example project management techniques, capabilities and skills of employees, as well as data security considerations.

The paper contributes to knowledge by synthesizing previously dispersed knowledge into an integrated framework, as well as by complementing previous results with new qualitative, empirical data. Additionally, the RPA-specific factors are put into the perspective of persistent problems in information systems development.