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The purpose of this study is to provide a systematic literature review on taxonomy alignment methods in information science to explore the common research pipeline and characteristics.

The authors implement a five-step systematic literature review process relating to taxonomy alignment. They take on a knowledge organization system (KOS) perspective, and specifically examining the level of KOS on “taxonomies.”

They synthesize the matching dimensions of 28 taxonomy alignment studies in terms of the taxonomy input, approach and output. In the input dimension, they develop three characteristics: tree shapes, variable names and symmetry; for approach: methodology, unit of matching, comparison type and relation type; for output: the number of merged solutions and whether original taxonomies are preserved in the solutions.

The main research implications of this study are threefold: (1) to enhance the understanding of the characteristics of a taxonomy alignment work; (2) to provide a novel categorization of taxonomy alignment approaches into natural language processing approach, logic-based approach and heuristic-based approach; (3) to provide a methodological guideline on the must-include characteristics for future taxonomy alignment research.

There is no existing comprehensive review on the alignment of “taxonomies”. Further, no other mapping survey research has discussed the comparison from a KOS perspective. Using a KOS lens is critical in understanding the broader picture of what other similar systems of organizations are, and enables us to define taxonomies more precisely.

Amidst unpredictable and turbulent periods, such as the COVID-19 pandemic, service organization’s responses are required to be innovative, adaptable and resilient. The purpose of this study is to explore the utilization of both reconfiguration and transformational strategies as instruments for cultivating resilience and advancing sustainability in service organizations.

The study examines a proposed resilience model using fuzzy logic. The research also used a semantic differential scale to capture nuanced and intricate attitudes. Finally, to augment the validity of the resilience model, a measurement scale was formulated using business mathematics and expert opinions.

Although investing in resilience training can help organizations gain control and maintain their operations in times of crisis, it may not directly help service organizations understand the external turmoil, seek available resources or create adaptive remedies. Conversely, high levels of reconfiguration and transformation management vigour empower a service organization’s revolutionary, malleable vision, organizational structure and decision-making processes, welcoming talented and innovative employees to enhance capabilities during crises.

The resilience model bestows a comprehensive understanding of the pertinence of building resilience for service organizations identifying the antecedents that influence the adoption of these strategies and introduces a range of theoretical perspectives that empowers service organizations to conceptualize and plan for building resilience. The research guides service organizations to become more resilient to external shocks and adapt to changing circumstances by diversifying their offerings, optimizing their resources and adopting flexible work arrangements. The study elaborates on the enhancement of resilience, increasing innovation, improving efficiency and enhancing customer satisfaction for service organizations to remain competitive and contribute to positive social and economic outcomes through the adoption of both reconfiguration and transformational strategies.

The study also guides the service organizations to become more resilient to external shocks and adapt to changing circumstances by diversifying their offerings, optimizing their resources and adopting flexible work arrangements. Rapid innovation and business model innovation are essential components, enabling service organizations to foster a culture of innovation and remain competitive. In addition, the adoption can lead to improved financial performance, job creation and economic growth, contributing to positive social and economic impacts.

The resilience model bestows a comprehensive understanding of the pertinence of building resilience for service organizations. It identifies the antecedents that influence the adoption of these strategies and introduces a range of theoretical perspectives that empowers service organizations to conceptualize and plan for building resilience. The research also provides a foundation for further investigation into the effectiveness of these strategies and their impact on organizational performance and sustainability. By better preparing service organizations for disruptions and uncertainties, this research triggers ameliorated organizational performance and sustainability.

Within the realm of the service industry, the present investigation has undertaken the development, quantification and scrutiny of both resilience and tenacity. In addition, it has delved into the intricate dynamics surrounding the influencing factors and antecedents that bear upon resilience, elucidating their consequential impact on the operational performance and outlook of service-oriented organizations. The findings derived from this research furnish valuable insights germane to enhancing operational efficacy and surmounting impediments within the sector.

Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.

This article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.

The proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.

The proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.

The purpose of this paper is to understand how digital interventions are mediating the identity work of community health workers (CHWs) in the context of two African countries.

This paper analyzes the everyday work of CHWs in two low- and middle-income country (LMIC) contexts (Uganda and Malawi) and seeks to understand changes in collective identity and the role of Information and Communication Technologies (ICTs) in mediating this “identity work”. As CHWs conduct their everyday tasks of care giving, data reporting and maintaining social interactions, they play two primary roles. One is the care giving role oriented towards the community, and two, is reporting and administrative work by virtue of them being affiliated with the Ministry of Health, either in formal or voluntary capacity. The ambivalence which they experience as they move back and forth between these two worlds of work is significantly now mediated through ICTs. The paper analyzes these dynamics and identifies three key sets of ambivalence in identity work: (1) role embracing-institutional distancing; (2) conformist-resistant and (3) dramaturgical-transformative. The paper makes unique contributions to information systems (IS) and ICT for development (ICT4D) studies in that it focuses on a nonprofessional group, which plays a fundamental role in providing care to underserved populations and also conducts data work which provides the foundation of the national health information system. This contrasts with dominant research in the field which focuses on professional groups, largely based in Western business organizations.

The paper identifies identity related tensions that emerge with the mediation of digital technologies in the work world of CHWs. These include tensions of conformist-resistant; and (3) dramaturgical-transformative. These findings are relevant and unique to the field of IS and ICT4D studies in that it focuses on a nonprofessional group, which plays a fundamental role in providing care to underserved populations and also conducts data work which provides the foundation of the national health information system.

While acknowledging identity construction and negotiation is a function of both work and social lives, in this paper we could only focus on the work lives.

As digital interventions in the health sector of low and middle income countries is becoming increasingly widespread, often the focus is more on the supply side (the supply of the technology) rather than on the demand side (users experiences and aspirations). Identity becomes a lens to understand these demand side dynamics, which helps provides practical guidance on implementation approaches to ensure that the technology adds value to user work processes and there is a seamless and not a disruptive transition.

CHWs are the most neglected cadre in the health system of low and middle income countries, even though they provide the cutting edge in care provision work to the most marginalized populations, living in rural and underserved areas. By focusing on how technologies can be more effectively implemented to support these care processes, the paper provides important social implications both for practice and research.

Analysis of identity construction and negotiation of informal groups in the unorganized sector of low and middle income countries has not received adequate attention in IS research. The paper seeks to fill this important gap.

This study aims to survey the existing body of knowledge about digital innovation within museums. Academic and practitioner interest in digital innovation has been piqued as technological advances that enable the rapid personalisation of information to cater towards increasingly sophisticated end-user expectations. Yet, the literature on digital innovation in the museum environment appears fragmented and lacks theoretical grounding.

Drawing on a systematic scoping review of 199 articles published during 2010–2021, this paper provides an initial indication of the size and scope of current research literature on digital innovation of museums.

This literature review elucidates the status quo and future directions of digital innovation in museum space. An integral conceptual framework is proposed to provide a comprehensive lens to steer future research and practice in this area in a theoretically grounded and systemic manner.

This study mixes both quantitative and qualitative analyses of the literature to produce an up-to-date understanding of extant research by illuminating inspiring processes, foregrounding commonly encountered challenges, framing theoretical and practical implications and proposing avenues for future research.

本文旨在考察有关博物馆数字创新的既有知识。当前学界与业界对于数字创新均抱有浓厚的兴趣, 因为技术进步使信息能够快速个性化, 以满足日益复杂的终端用户需求。然而, 关于博物馆数字创新的文献显得零散且缺乏理论基础。

基于对2010至2021年期间发表的199篇文章的系统性范围性综述, 本文初步描绘了有关博物馆数字创新的既有文献的规模和研究范围。

本文献综述阐明了博物馆数字创新的现状和未来方向, 提出了一个整合的概念框架, 从而期望以一个全面的视角引导该领域今后开展基于理论和系统化的研究与实践。

本研究综合了文献的定量和定性分析, 以呈现对既有研究的最新理解：包括阐明激发过程, 突出常见挑战, 框定理论和实践影响, 并提出未来研究的途径。

Este estudio tiene como objetivo examinar el conocimiento existente acerca de la innovación digital en los museos. El interés del mundo académico y de los profesionales por la innovación digital se ha visto avivado por los avances tecnológicos que permiten una rápida personalización de la información para satisfacer las expectativas cada vez más sofisticadas de los usuarios finales. Sin embargo, la bibliografía sobre la innovación digital en el entorno museístico parece fragmentada y carece de base teórica.

A partir de una revisión sistemática del alcance de 199 artículos publicados entre 2010 y 2021, este documento proporciona una indicación inicial del tamaño y el alcance de la literatura de investigación actual sobre la innovación digital de los museos.

Esta revisión bibliográfica dilucida el statu quo y las direcciones futuras de la innovación digital en el espacio museístico. Se propone un marco conceptual integral que proporcione una lente comprensiva para dirigir la investigación y la práctica futuras en este ámbito de una manera teóricamente fundamentada y sistémica.

Este estudio mezcla análisis cuantitativos y cualitativos de la bibliografía para producir una comprensión actualizada de la investigación existente iluminando los procesos inspiradores, poniendo en primer plano los retos comúnmente encontrados, enmarcando las implicaciones teóricas y prácticas y proponiendo vías para futuras investigaciones.

This study aims to investigate the impact of social media fitness influencers (SMFIs) on buyers’ purchase decisions by analyzing the factors that determine their influence. Furthermore, it aims to determine the relative influence of different genders of SMFIs on buyers’ decisions regarding supplement purchases.

The research consisted of two phases: a contextual study examining the characteristics of social media influencers and their impact on supplement purchase decisions and a comparative study comparing the influence of different genders of social media influencers. A survey was conducted online involving 426 Thai social media users who follow influencers to obtain the results for both phases.

The results revealed that information credibility and expertise were significant characteristics of SMFIs that had a significant impact on buyers’ purchase decisions. However, other characteristics such as the number of followers, content and attractiveness of SMFIs did not show any correlation with the buyers’ purchase decisions. Additionally, the study identified a positive influence of gender matching between SMFIs and respondents on purchase decisions.

This study emphasizes how the characteristics of social media influencers in Thailand influence buyers’ decisions to purchase dietary supplements.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

This article explains the causal mechanism supporting sustainable longevity by analysing the last three generations of one of the oldest family firms in Latin America.

An explanatory single-case qualitative research based on critical realism explores why and how this family firm has been able to maintain its multigenerational longevity.

Los Lingues's evolutionary strategy, driven by transgenerational entrepreneurship under effectuation, has supported this family firm's sustainable longevity. Its effectual logic emerged mainly from the richness of the firm's historical resources embedded in its identity, knowledge and social capital and priority to preserve socioemotional wealth.

This study integrates socioemotional wealth and effectuation theory to explain a family firm's ability to survive through generations and sustain longevity. The study demonstrates the relevance of effectual logic in the entrepreneurial dynamics of a multigenerational family firm. Effectual logic drives the firm evolution and adaptation for sustainable longevity.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.