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This study explores how introducing a permissioned blockchain in a supply chain context impacts accountability relationships and the process of rendering an account. The authors explore how implementing a digital transformation impacts the governance of network transactions.

The authors mobilize 28 interviews and documentary analysis. The authors focus on early blockchain adopters to get an insight into how implementing a permissioned blockchain can transform information sharing, coordination and collaboration between business partners, now converted into network participants.

The authors suggest that implementing a permissioned blockchain impacts accountability across three levers, namely through the ledger, through the code and through the people, where these levers are interconnected. Blockchains are often valued for their ability to enable transparency through the visibility of transactions, but the authors argue that this is an incomplete view. Rather, transparency alone does not help to satisfy a duty of accountability, as it can result in selective disclosure or obfuscation.

The authors extend the conceptualizations of accountability in the blockchain literature by focusing on how accountability relationships are enacted, and accounts are rendered in a permissioned blockchain context. Additionally, the authors complement existing work on accountability and governance by suggesting an integrated model across three dimensions: ledger, code and people.

The extensive brand associations research lacks organisation when it comes to the used information cues. This paper aims to systematically map and categorise the brand knowledge associations’ components and develop a typology applicable to any brand.

Using the restaurant and hotel industries in four different European cultural clusters as contexts, this work uses well-established systematic qualitative analysis approaches to categorise, code and model pictorial content in two studies. A four-stage sampling process identified Instagram brand-posted signals (photos), 243 from 26 restaurants in Madrid, Paris and Rome for study one and 390 from 29 hotels in Moscow, Berlin and Stockholm for study two. Adhering to relevant guidelines, the manual coding procedures progressed from 246 for restaurants and 231 for hotels initially generated free information coding inductive codes to a theory-informed categorisation. Quantitative analysis complemented the qualitative analysis, revealing the information cues relative utilisation.

For both studies, the analysis produced a typology consisting of two high-level and five lower-level brand knowledge association categories, namely: (a) brand characteristics consisting of the brand as a symbol, the brand as a product and the brand as a person, and (b) brand imagery consisting of user imagery and experience imagery. The five lower-level categories comprise of sub-categories and dimensions, providing a more comprehensive understanding of the brand associations conceptual structure relevant to brands operating in any industry.

Researchers can use this typology to holistically encapsulate brand associations or design projects aiming to deepen brand knowledge association aspects/dimensions understanding.

Managers can use this typology to portray brands. Some of the identified lower-level categories and/or sub-categories and dimensions are likely to need customisation to fit specific contexts.

The suggested categorisation offers a solid, comprehensive framework for effectively categorising and coding brand knowledge associations and proposes a new theory in the form of a typology.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

The purpose of this study is to investigate the influence of design for lean six sigma (DFLSS) on operational functions of the innovation management model by appraising an innovation management assessment framework.

An empirical approach for evaluating causal relationships among various constructs in the model phases that identify optimum pathways in achieving commercial success was adopted. A quantitative analysis of survey data were collected from large, medium and small organiations, including incubators in ANZ (Australia, New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam).

The structural equation modelling recursive path analysis results of the model provide empirical evidence and pathways through the various constructs considered in the model. All these pathways lead to delivering optimum commercialization success (CS). Furthermore, DFLSS is confirmed as an enabler and has direct one-to-one and indirect influence on all the operational function constructs of the model including commercial success.

This study had a relatively small sample size of completed responses obtained from the population and a constrained ability to compare commercialization success (CS) between the two regions in the dataset. Future studies could be conducted on a global scale to increase responses.

The research findings enabled the development of important and practical guidelines for managers and innovation practitioners engaged in planning and management of innovation.

This research offers a holistic approach for integrating DFLSS with stage gate phases of innovation management assessment framework, supported by empirical evidence, to aid organizations in effectively managing the innovation process and achieving greater success in commercialization.

School leaders can significantly influence the conditions that affect teacher retention. Yet, leaders in rural and high-poverty schools often face limited opportunities to develop their abilities to enhance these conditions. In this case study, we examine how participating in a professional community supported school leaders' efforts to increase teacher retention and student learning outcomes.

We used case study methodology to study 14 leaders from rural, high-poverty or underperforming schools with greater-than-average levels of teacher turnover. The leaders were participating in a three-year research-practice partnership intended to assist them in using improvement science to address problems of practice related to teacher retention and student learning outcomes in their schools. We collected and analyzed data from interviews, exit surveys, artifacts and participant observations over a one-year period.

Participating in this professional community helped the leaders create the conditions for increased teacher retention and student learning outcomes by providing them with opportunities to collaborate with their peers, receive leadership coaching, exchange ideas and learn in a safe space.

These findings confirm and extend extant school leadership development research. A particularly interesting finding was the role of the professional community in reducing the leaders' feelings of isolation while providing them a safe space to learn. The findings also illustrate how universities and school districts can partner to provide professional learning opportunities that enhance school leaders' professional knowledge, leadership practices and well-being.

This paper aims to describe the development and validation of the Prison Fellowship Well-being index (PF-WBI), a new quantitative tool for assessing prisoner and staff well-being within prison cultures.

The PF-WBI was developed through an iterative process of item creation, administration alongside established well-being measures and a series of data analyses. Data was collected from both staff and prisoners (n = 989) across four North Dakota prisons.

Analysis supported a four-factor structure for the PF-WBI measuring motivation/self-esteem, relationships/community functioning, hope/mood and stress-related detriments. The PF-WBI demonstrated excellent internal consistency reliability, convergent validity with established well-being measures and criterion-related validity for both staff and prisoners. Measurement invariance across staff and prisoners was also confirmed.

The PF-WBI offers a new and versatile tool for researchers and practitioners to assess staff and prisoner well-being in correctional settings. It can be used to evaluate prison cultures and the effectiveness of culture improvement efforts.

This paper aims (1) to create a sense of resonance with Maida Herman Solomon and her ideas, (2) to inspire a reconsideration of current management history (the unquestioned block box of dominant figures, dominant foci and dominant practices), (3) to bring Solomon’s contributions to clinical social work into present discourse in management and organizational studies and (4) to foster recognition for Solomon in her own field of social work, as forerunner in a developing profession. Guiding this study is the question: “What are Solomon’s key contributions and why is she overlooked?”

This paper features a novel methodology, ficto-feminism. The feminism in ficto-feminism is presented as ontology, epistemology, method and mode of writing. Ficto-feminism combines polemical (or prowoman writing) with aspects of collective biography, autoethnography and fictocriticism. As such, the paper contributes to the emerging feminist tradition of writing differently. The approach is an embodied and reflexive approach that engages with history to investigate the absence of women.

Maida Solomon was an educator, researcher, practitioner and advocate. Her contributions to the development and practice of clinical social work spanned over 60 years, and yet, she is little more than a footnote in the history of the field. Her contributions include authoring and implementing graduate programming, which continues to be the taken for granted training; penning some of the most seminal works and advancing theory; introducing academic and scientific approaches, which saw the field professionalize and adopt new standards; and helping to change the way that society thought about mental health and sexual health. A confluence of factors contributes to her marginalization and neglect: gender, ethnicity, the feminized field of social work and the stigmatized focus for her practice.

The paper combines assertive autobiographical and literary strategies to foreground an overlooked female leader in the field of clinical social work, namely, Maida Solomon. Drawing on biographical material, literature, media and archival material, this paper features a fictional but truthful conversation between the present-day author/writer/historian and the posthumous, historical protagonist (Maida Solomon). In so doing, the engagement with history is both one that deconstructs while reconstructing a historical account with both aesthetic and political implications.

This study aims to measure the impact of loneliness, physical activity (PA) and self-esteem on the health of retired people and also checks the moderating role of living arrangements and gender of the elderly people on this relationship.

Four standardized scales were used in the study to measure four different constructs: Self-Worth Questionnaire, UCLA Loneliness Scale Version 3, General Health Questionnaire-28 and Physical Activity Scale for Elders. Structural equation modelling was applied to the four constructs.

The study concluded that loneliness has a negative and significant impact on the health of retired people, while self-esteem and PA have a positive and significant impact on their health.

The study is among the few to include multiple instruments to measure abstract parameters in the field of health care. The paper brings out implications not just for academicians but also for policymakers, considering the complex situation prevailing in the emerging economy.

Drawing motivation from the greater exposure to uncertainty and condition changes that affect large projects due to their long lifecycle, this paper aims to investigate how the time factor affects the use of governance mechanisms to pursue the success of these projects.

To pursue its aim, the article applies the dichotomization between the hard and soft mechanisms of project governance to the analysis of a historical case study, whose findings are organized over the short, medium and long periods. The case selected is referred to the peculiar water system, made up of tunnels named “bottini,” that was in use in Siena (Italy) as the old aqueduct. Specifically, the study focuses on the project of expansion of this water system that was realized during the 14th century for the construction of the “Bottino maestro di Fontegaia.”

This article highlights the different relevance that, during the lifecycle of large projects, is assumed by hard and soft governance mechanisms, with the former having main relevance in a short and medium period, and the latter usually emerging in the medium period and, subsequently, playing a growing role for the project success in the long period.

The article contributes to the literature on large projects by providing novel insights about how the time factor impacts the governance of these projects. Furthermore, the case study, with its unique history, highlights the relevance of combining effectively the hard and the soft dimensions of project governance to pursue success.

In 2022 generative AI took the Internet world by storm. Free access to tools that can generate text and images that pass for human creations triggered fiery debates about the potential uses and misuses of generative AI in education. There has risen a need to check the popular utopian and dystopian narratives about AI against the diversity of hopes, concerns and future imaginaries that educators themselves associate with generative AI. The purpose of this study is to investigate the perspectives of Finnish teacher educators on the use of AI in education.

This article reports findings from a hands-on workshop in teacher training, where participants learned about how generative AI works, collaboratively explored generative AI and then reflected on its potential and challenges.

The results reveal nuanced, calm and thoughtful imaginaries rooted in deep understanding of educational policy, evaluation and the sociocultural context of education. The results cover teachers’ views on the impact of AI on learners’ agency, metacognition, self-regulation and more.

This article offers a unique exploration into the perceptions and imaginaries of educators regarding generative AI in specific (instead of “monolithic AI”), moving beyond dystopian views and instead focusing on the potential of AI to align with existing pedagogical practices. The educators contrasted the common techno-deterministic narratives and perceived AI as an avenue to support formative assessment practices and development of metacognition, self-regulation, responsibility and well-being. The novel insights also include the need for AI education that critically incorporates social and ethical viewpoints and fosters visions for a future with culturally, socially and environmentally sustainable AI.