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This study, a theoretical article, aims to introduce new institutionalism as a framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although the new institutional theory is a fully established research program, the neo-institutional literature on AI is almost non-existent. There is, therefore, a need to develop a deeper understanding of AI as both the product of institutional forces and as an institutional force in its own right.

The authors follow the top-down approach. Accordingly, the authors first briefly describe the new institutionalism, trace its historical development and introduce its fundamental concepts: institutional legitimacy, environment and isomorphism. Then, the authors use those as the basis for the queries to perform a scoping review on the institutional role of AI in organizations.

The findings reveal that a comprehensive theory on AI is largely absent from business and management literature. The new institutionalism is only one of many possible theoretical perspectives (both contextually novel and insightful) from which researchers can study AI in organizational settings.

The authors use the insights from new institutionalism to illustrate how a particular social theory can fit into the larger theoretical framework for AI in organizations. The authors also formulate four broad research questions to guide researchers interested in studying the institutional significance of AI. Finally, the authors include a section providing concrete examples of how to study AI-related institutional dynamics in business and management.

The core objective of this research is to bridge the notable knowledge gap regarding the interplay between individual company supply chain resilience, digitalization and broader logistics performance metrics. This involves a close examination of how digital practices and mindsets contribute to both proactive and reactive supply chain resilience, as well as the impact on overall logistics performance and the logistics performance index (LPI).

This investigation was carried out through a study of medium-high technology Turkish manufacturing companies, paying particular attention to their engagement with digital technologies. A comprehensive analysis of multi-source data from 403 Turkish manufacturing companies was conducted using path analysis via structural equation modeling, aiming to elucidate the dynamics between these variables.

The study unveiled a markedly negative correlation between supply chain resilience and logistics performance within the context of developing nations such as Turkey. It further illuminated how different facets of digitalization distinctly influence the nexus between proactive and reactive supply chain resilience and overall logistics efficiency in these regions. Notably, a digital mindset was found to weaken the association between proactive resilience and the LPI while exacerbating the adverse effect of reactive resilience on the LPI.

The findings highlight the critical nature of strategic digital adoption and integration for bolstering supply chain resilience and logistics performance, particularly spotlighting the textile sector in developing countries. However, the study’s focus on Turkish manufacturing companies might limit the generalizability of the findings across different contexts and industries.

By underscoring the importance of digital integration in improving supply chain and logistics operations, this research suggests pathways for enhancing economic stability and growth in developing nations, ultimately contributing to broader societal well-being.

This study contributes novel insights into the complex relationship between supply chain resilience, digitalization and logistics performance, particularly in the context of developing economies. Its examination of the differential impacts of digitalization dimensions on this relationship offers valuable perspectives for academics, industry professionals and policymakers aiming to optimize supply chain strategies in the face of global challenges.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

The identification of salient stakeholders remains an issue in stakeholder theory (ST). The articulation of ST with the concepts of boundary object and systemic shock contributes to tackle this point. A boundary object is the “stake” that aggregates a stable network of interdependent actors “holding” interest in it. They compromise to satisfy their interests and collectively reach an equilibrium.

In a deductive approach, to illustrate the conceptual framework, empirical evidence is provided by an in-depth case study based on semi-directive interviews and the secondary data (Eisenhardt, 1989; Yin, 2017) of an industrial downsizing that included massive dismissals and involves a multi-stakeholder network. I use a temporal bracketing methodology (Langley et al., 2013) to analyze the dynamic process of interactions between stakeholders. The evolution of interactions is analyzed before the public announcement, during the implementation of the downsizing, and after the closure. The case is Gamma-Alpha (GA), a large German pharmaceutical company, that decided to cut 1250 positions in its Geneva entity and to close the office.

This research contributes to the understanding of employment relationships through the lenses of ST. A managerial decision affecting a boundary object involving workers could lead to a systemic shock inducing network change that would require attention from managers in order to successfully implement their decision. It also highlights how and when stakeholders (employees, trade-unions, government, etc.) have more opportunities to influence firm behavior.

Our main contribution comes from enriching the literature on stakeholder theory with the concepts of boundary object and systemic shock, which results in a crucial conceptual advance: stakeholder saliency is not an intrinsic characteristic but depends on the boundary object that connects the stakeholder’s interests with those of the firm. Moreover, defining a systemic shock affecting the boundary object characterizes the event that triggers interactions between stakeholders and the dynamic evolution of the network.

The scaling of social initiatives is important to achieve broad social impact based on successful small-scale experiments. This paper focuses on the influence of the characteristics of the initiators of social initiatives on scaling processes. The limited literature on this topic highlights two critical actor characteristics: high entrepreneurial skills and a central position in the area. Both characteristics influence two critical components of the scaling process: mobilizing stakeholders and focusing on retaining effectiveness. The purpose of this paper is to explore these complex relationships in a deductive analysis and to use these findings for an inductive analysis to generate new insights and extend our academic understanding.

A comparative qualitative study of 20 social initiatives in the Dutch social sector was conducted, including 48 in-depth interviews with initiators and stakeholders in three different areas – mental health, debt and labour participation.

High entrepreneurial skills are more important for mobilizing stakeholders and focusing on retention of effectiveness than the position of the initiators, but these are a condition rather than a guarantee. Creating space for scaling and investing in measuring effectiveness in other contexts are also important.

By combining the literature on social entrepreneurship and public innovation and conducting an empirical study, our study provides a broad and nuanced picture and brings precision to our understanding of the relationships between initiators' entrepreneurial skills and position and the scaling process.

This paper aims to comprehensively review the extant research on the cognitive perspective in strategic change on a global scale. In doing so, this research aims to contribute to managers working in the international management and business context.

This paper adopts a systematic literature review (SLR) methodology. Articles incorporated in the study were selected based on relevant keywords from the Dimension.ai database.

The study findings show the variety of strategic change measures, definitions and the array of theoretical frameworks adopted in strategic change research. The SLR further reveals that most research appears on the TMT (top management) level of analysis, while research on the team and organizational level of analysis is scarce. The review identified several recurring research themes, illustrating the complex and multifaceted nature of cognitive perspective to strategic change: strategic change as an end result, cognitive triggers for strategic change, barriers to strategic change, the process of strategic change, and macro, meso and micro context of strategic change. Several research gaps were identified and translated into future research areas.

This SLR thoroughly overviews prior research on the cognitive perspective in strategic change, investigating 85 articles from 2010 to 2023. The study is one of the few to attempt to explore strategic change, providing a comprehensive mapping of individual cognitive capabilities and traits involved in the strategic change process and structuring the variety of strategic change measures and definitions. The authors present a qualitative concept map of the research agenda.

European countries are experiencing a phenomenon known as “double aging,” which is placing long-term care regimes under considerable strain. The majority of long-term care is provided by relatives, and this informal care is vital for the functioning of care regimes. Most of this informal long-term care (iLTC) is provided by women. The consequences of the unequal distribution of care within society are a crucial, yet poorly addressed aspect of social policy research. We address this research gap and provide insights into the socio-economic impacts of the unequal gender distribution of iLTC.

For the review, systematic database searches were performed in PubMed and EBSCO CINAHL, using the SPIDER methodology. A total of 7,385 abstracts were screened, whereof 11 studies were included. A critical appraisal tool, the PRISMA checklist and a qualitative synthesis were applied.

Three analytical themes were identified: (1) Social Experiences and Norms, (2) Informal Caregivers’ Labour Market Participation and (3) Economic Costs of iLTC. The results showed that women and men are impacted differently: Women are quantitatively discriminated, while caregiving men are likely to face qualitative discrimination within their tasks due to role expectations and gender norms.

Novel insights emerge from embedding fragmented empirical findings into a holistic societal perspective, opening possibilities for addressing (adverse) outcomes together on a policy level. The findings are of interest for policy makers developing measures to ensure sufficient care supply whilst taking action against gender inequality.

This study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an alternative to traditional survey-based marketing research.

In order to conduct IPA and IPCA utilizing online reviews, the following three steps were executed: (1) Extract key attributes of the product/service with latent Dirichlet allocation (LDA) topic modeling. (2) Measure the importance of each attribute with keyword analysis. (3) Measure the performance of each attribute with KoBERT-based sentiment analysis.

By utilizing LDA, we were able to identify significant attributes identified by real users’ reviews. The approach of evaluating attribute importance using keyword metrics offers the advantage of straightforward computations, reducing computational expenses and facilitating intuitive metric assessments. The evaluation of BERT-based performance involved adapting pre-trained language models to the specific analysis domain, resulting in substantial time savings without compromising accuracy, ultimately bolstering the dependability of the metrics. Lastly, the case study’s findings indicate a growing emphasis on the aesthetic aspects of mobile banking apps in South Korea while highlighting the pressing need for enhancements in critical areas such as stability and security, which are particularly pertinent to the finance industry.

Previous studies have limitations in assessing significance solely based on sentiment scores and review ratings, resulting in an inability to independently measure satisfaction and importance metrics. This research addresses these limitations by introducing a keyword frequency-based importance metric, enhancing the accuracy and suitability of these measurements independently. In the context of performance measurement, this study utilizes pre-trained large language models (LLMs), which provide a cost-effective alternative to previous methods while preserving measurement accuracy. Additionally, this approach demonstrates the potential for industry-wide competitive analysis by enabling comparisons among multiple competitors. Furthermore, the study extends the application of review data-based IPA and IPCA, traditionally used in the tourism sector, to the evaluation of financial mobile applications. This innovation expands the scope of these methodologies, indicating their potential applicability across various industries.

This study aims to identify and understand critical success factors for implementing and sustaining circular economy (CE) practices in manufacturing small and medium-sized enterprises (SMEs). More precisely, this study examines the complex interplay between micro-, meso- and macro-level success factors that are deemed critical for implementing and sustaining CE practices.

The study is based on a two-stage methodology that combines a comprehensive literature review and an interview study with 12 Swedish manufacturing SMEs that implement CE practices.

The study identifies and categorizes success factors for implementing and sustaining CE practices in manufacturing SMEs. Based on the findings, a holistic framework is proposed that takes into account multiple perspectives, i.e. at the micro, meso and macro levels. This framework enables a deeper understanding and thus a more nuanced discussion of the complexity inherent in the transition to a CE from the perspective of manufacturing SMEs.

This study contributes to the growing body of research on CE transition. By focusing on SMEs in particular, the paper adds the needed diversity to the study of CE practices and influencing factors at different levels.

The rise of mobile technologies has driven rapid growth in mobile banking (m-banking), making service quality a central area of inquiry for researchers and industry practitioners alike. Despite this focus, understanding of service quality in m-banking remains fragmented. In this regard, this article endeavors to provide a comprehensive, state-of-the-art overview of service quality in m-banking.

Drawing on a systematic review of 71 studies, this article explores the concept of service quality in m-banking through the lens of theories, constructs, contexts, and methods (TCCM), revealing the multifaceted nature of service quality and its role in m-banking.

The review underscores the multifaceted nature of service quality and its pivotal role in steering pivotal customer-centric outcomes in m-banking. Introducing the stimulus-organism-response (S-O-R) framework into the discourse of m-banking, the review reveals a range of quality-, system success-, and user-based stimuli, affecting m-banking users’ attitude, brand attachment, flow, and trust, thus shaping their intended and actual behavior, including usage, satisfaction, loyalty, and word-of-mouth. Further scrutiny underscores opportunities for renewed endeavors to bridge identifiable gaps by harnessing mixed methods, exploring new constructs, probing demographic and cross-cultural variations, and forging new instruments tailored to evaluate contemporary m-banking service quality.

This review distinguishes itself by providing a comprehensive and systematic exploration of service quality in m-banking through the lens of TCCM. Unlike previous studies that often focus on isolated aspects, this review integrates diverse perspectives to offer a holistic understanding of service quality in m-banking. Employing the S-O-R framework, this review not only maps the pathways from service quality stimuli to user responses but also identifies critical gaps and promising directions.