2,257 research outputs found
Purpose in the for-profit firm: a review and framework for management research
Purpose is a concept often used in managerial communities to signal and define a firm’s benevolent and pluralistic approach to its stakeholders beyond its focus on shareholders. While some evidence has linked purpose to positive organizational outcomes such as growth, employee satisfaction, innovation, and superior stock market performance, the definition and application of purpose in management research has been varied and frequently ambiguous. We review literature streams that invoke purpose in the for-profit firm and propose a unifying definition. Next, we develop a framework to study purpose that decouples its framing and formalization within firms from its realization, thus helping to avoid conflation of the presence of purpose with positive organizational outcomes. The framework also highlights internal and external drivers that shape the framing of purpose as well as the influence of the institutional context on its adoption and effectiveness. Finally, we provide a rich agenda for future research on purpose
Creating Common Ground: Formalizing and Designing Employee-driven Innovation Processes with Decision Points
Striving for innovation and advancement, a phenomenon can be observed wherein organizations are progressively incorporating their \u27ordinary\u27 employees into the innovation process, capitalizing on their creativity, expertise, and knowledge to foster novel ideas. Such integration mandates formalized yet flexible processes to offer a common ground for both employees as idea contributors and managers as decision-makers, enabling control and governance. Despite this, a conspicuous knowledge gap exists within the realm of employee-driven innovation (EDI) concerning the design of EDI processes. In this paper, we present the outcomes of an action design research project conducted with a medium-sized organization, focusing on formalizing and designing an EDI process with decision points through three iterative cycles. This research contributes fourteen meta-requirements and eleven design principles for EDI process design, thereby expanding the theoretical (prescriptive) knowledge base. Additionally, the results offer practical implications, enabling organizations to adopt the EDI process accordingly
Building Capacity in K-12 Educational Leaders to Address the Opportunity Gap
While there is a niche of students who benefit from alternate education programs, there is a growing concern with the exclusionary nature of these programs and the limited research published regarding the effectiveness of these programs meeting the needs of students they serve (Smith et al., 2007). There is also concern that alternate programs contain a large percentage of students from marginalized groups, and that they are reinforcing and perpetuating some of the challenges they were meant to address through the process of othering students. Othering is an incident where groups or an individual are labeled as not fitting in with the norm, it is the us vs. them mentality (Cherry, 2020; Spencer-Iiams & Flosi, 2021). This Organizational Improvement Plan (OIP), rooted in social justice and equity, investigates how to build educational leaders’ capacity to proactively address the opportunity gap for students considered marginalized and eliminate exclusionary practices in their neighborhood school.
Using transformative and inclusive leadership approaches, a change intervention plan incorporating a diagnostic framework, the Change Path model (Deszca et al., 2020) and a dialogic framework, the Dialogic Change model (Kuenkel et al., 2021) are presented. It is suggested that by developing a leadership development series that incorporates lead learner teams (LLTs), presented by Katz et al. (2018), educational leaders will gain the capacity to address the opportunity gap and eliminate exclusionary practices in schools
Speaking for Themselves: Advocates' Perspectives on Evaluation
"Speaking for Themselves: Advocates' Perspectives on Evaluation" will give you a better understanding of advocates' views on evaluation, the advocacy strategies and capacities they find effective, and current evaluation practices. Based on Innovation's Network's research, the report includes recommendations for advocates, funders, and evaluators. Both the research and publication were made possible by the Annie E. Casey Foundation and The Atlantic Philanthropies
Using Ontologies for the Design of Data Warehouses
Obtaining an implementation of a data warehouse is a complex task that forces
designers to acquire wide knowledge of the domain, thus requiring a high level
of expertise and becoming it a prone-to-fail task. Based on our experience, we
have detected a set of situations we have faced up with in real-world projects
in which we believe that the use of ontologies will improve several aspects of
the design of data warehouses. The aim of this article is to describe several
shortcomings of current data warehouse design approaches and discuss the
benefit of using ontologies to overcome them. This work is a starting point for
discussing the convenience of using ontologies in data warehouse design.Comment: 15 pages, 2 figure
The Co-operative Model in Practice : International Perspectives
Published with the support of the Scottish Government and the Economic & Social Research CouncilPublisher PD
How Leadership Occurs in a Loosely Coupled, Multi-Stakeholder System
As the world continues to evolve towards more collaboration and cooperation among stakeholders, challenging established hierarchies and systems, leadership is called upon and questioned. The purpose of this research was to understand the leadership phenomena in a loosely coupled, multi-stakeholder system. The researcher employed qualitative methods using grounded theory and gathered data through a series of in-depth interviews, ethnographic observations, personal leadership experiences and reflections, focus groups, and theoretical sampling. Constant comparative analysis produced four major categories of leadership phenomenon: the why, the what, the how, and the who. Grounded in the experience of research participants, the developed theory explains that acts of leadership happen at the system level, the core group level, the coalition of the willing level, and the founding members level (the “we”). A small group of people (the “who”) utilize the processes of influence (the “how”), self accountability (the “what”), and moral responsibility (the “why”) to carry out the purpose of the system and maintain the values of collaboration. The loosely coupled, multi-stakeholder system acts as a living organism that interacts with the external environment and internal resources to accomplish its purpose. The four dimensions of the system (the why, the what, the how, and the who) interplay and interact with each other in a dynamic, cyclical fashion where four levels of leadership are enacted by individual actors: taking responsibility, inviting to collaborate, forming and sustaining the “leadership” team, and balancing chaos and order
How Facets of Work Illuminate Sociotechnical Challenges of Industry 5.0
This conceptual contribution explains how the idea of “facets of work” can refocus traditional sociotechnical concerns to increase their relevance in increasingly automated and digitalized workplaces far removed from situations studied by early sociotechnical researchers. A background section summarizes how the sociotechnical approach seems pervasive but possibly outdated in some ways. It explains how the idea of “facets of work” emerged from attempting to bring richer, more evocative ide-as to systems analysis and design. Focusing on facets of work during initial discussions of requirements could provide guidance without jumping prematurely to precision and notation needed for producing technical artifacts. Tables with one row for each of 18 facets or one row for the first 9 (reflect-ing length restrictions) illustrates that the 18 facets 1) point to areas where the coexistence of people and robots in workplaces poses challenging sociotechnical issues, 2) apply to both sociotechnical and totally automated systems, 3) are associated with specific sets of concepts, 4) bring evaluation criteria and design trade-offs, 5) have useful sub-facets, and 6) imply open-ended questions for starting discussions. The conclusion summarizes this paper’s contribution to understanding challenges of Industry 5.0 and discusses next steps in developing and applying its ideas
Social Enterprise As Commitment: A Roadmap
At the nexus of law, business, and social justice there are a number of for-profit entities with underlying social missions. Such “hybrid” entities—low-profit limited liability companies, benefit limited liability companies, benefit corporations, public benefit corporations, and social purpose corporations—borrow principles from both the charitable and corporate sectors. Despite their hybrid nature these entities lack a clear accountability mechanism, putting such entities at risk of mismanagement, self-enrichment, and corporate waste. This Article presents a commitment approach to social enterprise governance within the bounds of existing social enterprise laws. Pherhoples argues that a commitment approach will facilitate an organization’s identity and foster a commitment that “reverberates through the entire organization.
Computational ethics
Technological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, law, and economics. Less represented in these interdisciplinary efforts is the perspective of cognitive science. We propose a framework – computational ethics – that specifies how the ethical challenges of AI can be partially addressed by incorporating the study of human moral decision-making. The driver of this framework is a computational version of reflective equilibrium (RE), an approach that seeks coherence between considered judgments and governing principles. The framework has two goals: (i) to inform the engineering of ethical AI systems, and (ii) to characterize human moral judgment and decision-making in computational terms. Working jointly towards these two goals will create the opportunity to integrate diverse research questions, bring together multiple academic communities, uncover new interdisciplinary research topics, and shed light on centuries-old philosophical questions.publishedVersio
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