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Our study aims to understand what is known about happiness at work (HAW) in terms of publication, citations, dimensions and characteristics, as well as how knowledge about HAW is generated regarding theoretical frameworks, context and methods. Additionally, it explores future directions for HAW research.

This paper conducts a systematic literature review of 56 empirical articles published between 2000 and 2022 to comprehensively explore HAW. It examines publication trends, citation patterns, dimensions, characteristics, theoretical frameworks, contextual factors and research methodologies employed in HAW studies.

Our findings suggest that while HAW research has gained momentum, there is still a need for exploration, particularly in developing countries. Various theoretical frameworks such as the job demand-resources model, social exchange theory and broaden-and-build theory are identified, with suggestions for the adoption of less popular theories like the positive emotion, engagement, relationships, meaning and accomplishment (PERMA) model and flow theory for future investigations. The review contributes to workplace happiness literature by offering a comprehensive analysis spanning two decades and provides valuable insights for guiding future research toward exploring factors influencing employee well-being.

Our article offers a structured analysis of HAW literature, emphasizing the necessity for more extensive research, especially in developing nations. It provides valuable insights into the theories and dimensions associated with HAW, guiding future research and assisting organizations in formulating strategies to enhance employee happiness and overall well-being.

The aim of this paper is to propose a basis upon which accounting reporting can be developed to reflect real values and the real economy. It aims to address the environmental considerations discussed in the UN debate (Bebbington and Unerman, 2020) and the concern for a “better life-world”, which is the theme of this special issue.

Addressing the task involves the application of the philosophy of pragmatic constructivism (which explains how people can relate to their reality in ways that lead to successful action) and the philosophical concept of the “good life” (which establishes the values to be pursued through action and so defines action success). Also, it outlines the necessary characteristics of measurement frameworks if they are to be effective in the development and control of human practices to achieve desired values.

This paper proposes a conceptual framework for guiding the measurement of how a sustainable good life has improved and/or deteriorated as a result of organisational activities. It outlines a system of concepts on basic and instrumental values for analysing the condition of maintaining a sustainable good life in real terms. This is related to the financial results and societal regulations to analyse and adjust controls according to the real economic goals. Also, it provides a system of value measurands to produce valid information about the development of a sustainable good life. The measurand makes accounting reporting reflect the conditions of the good life that constitute the real economy instead of merely the financial economy driven by shareholder capitalism. Providing tools to analyse whether the existing practices of business and social regulations promote or counteract the real economic goals of producing a sustainable good life means the measurement system proposed makes the invisible hand of the market visible.

The mechanism proposed to enable accounting reporting to reflect real values and the real economy is a new conceptual framework that will allow accounting to more fully realise its potential to contribute to a “better world”. In aiming to serve a sustainable good life, accounting reporting will inherently foster ethical social practices.

The current study aims to explore the determinants of user intentions towards fitness YouTube channels, employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Uses and Gratifications Theory (UGT) as theoretical frameworks.

Symmetric and asymmetric analyses were employed for data analysis, utilizing partial least squares-structural equation modeling (PLS-SEM) for symmetric analysis and fuzzy-set qualitative comparative analysis (fsQCA) for asymmetric analysis.

The study revealed significant impacts of most UTAUT2 determinants and all UGT determinants on user intentions. Additionally, the fsQCA results supported the concept of equifinality, indicating that various configurations of causal combinations can predict a high level of behavioral intention. These findings underscore the significance of comprehending user motivations and factors related to technology and social media in the context of maintaining or increasing followership and viewership for fitness content providers.

The findings suggest that individuals with high expectations and facilitating conditions, as per UTAUT, and heightened hedonic and socializing motivations, in line with UGT, are more inclined to follow fitness YouTube channels. This study offers valuable insights for fitness content creators and marketers navigating the complexities of the digital age.

Organizations remain a vital sociological topic, but organizational sociology, as a subfield, has evolved significantly since its inception. In this paper, I argue that organization sociology is becoming increasingly disconnected from organizational theory, as currently conceived. The focus of sociological research on organizations has become more empirically grounded in the study of social problems and how organizations contribute to them. Sociologists continue to see organizations as important actors in society that play a role in shaping social order and as contexts in which social processes play out. I propose two main sociological approaches for organizational research, which I describe as “organizations within society” and “society within organizations.” The first approach examines the role of organizations as building blocks of social structure and as social actors in their own right. The second approach treats organizations as platforms and locations of social interactions and the building of community. These approaches are somewhat disconnected from the sort of grand theorizing that characterizes much of organizational theory. I argue that the problem-oriented sociology of these two approaches offers a vital way for organizational scholars to expand and theoretically revitalize the field.

This study aims to establish a comprehensive framework for adopting mobile-based artificial intelligence (AI) services in Tanzanian manufacturing small and medium enterprises (SMEs).

The methodology involved conducting a literature review and using the combination of Mobile Services Acceptance Model and Innovation Diffusion Theory (IDT) as a theoretical foundation. This synthesis delves into the current knowledge on technology adoption, organizational behavior and innovation diffusion, creating a solid conceptual basis. Expert review was used for framework validation to ensure the framework's accuracy.

This study shows that the factors influencing the adoption of mobile-based AI services in Tanzanian manufacturing SMEs include perceived usefulness, perceived ease of use, context, personal initiatives and characteristics, trust, infrastructure, cost, mobility, power distance, compatibility, observability and trialability.

The framework provides valuable insights tailored to Tanzanian sociocultural and economic nuances. However, its generalizability is limited due to its specificity to Tanzanian manufacturing SMEs.

The framework outlined in this research provides SME leaders, policymakers and technology implementers with valuable guidance to make informed decisions during the adoption process.

This study introduces a novel lens for understanding technology adoption. This study's focus on the Tanzanian context and its nuanced examination of contributing factors add to its originality and practical significance.

Current academic research on teacher learning is increasing in number and deepening in quality, but at the same time, the heterogeneity is growing significantly. Similar work is challenging to cross-check regarding conclusions due to the different research foci. This paper aims to provide a reliable theoretical framework and offers solid insights based on the existing research.

Based on the Onion model, 67 core literature in English and Chinese were coded through qualitative meta-analysis methods to explore environmental, behavioral, competence, belief, identity, mission and other factors that may impact teacher learning.

It was found that the quantitative structure of the current relevant studies was in an inverted triangular shape with three levels of steps, respectively, which can be summarized as structural environment, core behaviors and dominant mission. The heterogeneity between the findings mainly originated from two situations, oppositional and complementary and some structural adjustments were made to the Onion model according to the coding results to better represent the interaction of influences between the levels. It also analyzes current research trends and the centrality of learned behaviors based on the coding results.

The design of teacher learning activities should combine theoretical, practical and inquiry learning to ensure that teachers are kept fresh and motivated by sustained and varied stimuli.

To the best of the authors’ knowledge, this study is the first to analyze teacher learning influences through qualitative meta-analysis and create node saturation to analyze the results, resulting in highly credible and valuable research findings.

Despite the growing interest in blockchain technology (BCT) applications in the agri-food industry, evidence of their economic and strategic implications remains scarce. This study aims to contribute to filling this gap by jointly investigating how BCT adoption affects transactional relationships, and how it contributes to the firm’s strategic resources.

An explanatory case study is conducted based on a theoretical framework grounded on transaction cost economics and the resource-based-dynamic capabilities view. Six BCT implementations by agri-food firms are studied. Data were collected through semi-structured interviews and analysed using thematic analysis.

Findings reveal that BCT benefits depend on how companies integrate technology across their supply chains. In fact, the results suggest that overall transaction efficiency within the supply chain is enhanced only for those firms prioritising stakeholder engagement during technology implementation and leveraging existing trust relationships with economic agents. Moreover, the results suggest that BCT is not yet perceived as a strategic resource, but rather that it has the potential to enhance firms’ operational-adaptive, absorptive and innovative capabilities. When all supply chain actors clearly understand blockchain’s functionality and value, the development of these capabilities becomes more pronounced.

The study identifies two BCT adoption configurations. One primarily focuses on enhancing supply chain efficiency and transparency (dynamic BCT), while the other uses BCT mainly for marketing purposes (static BCT). These configurations lead to varied possibilities for leveraging BCT’s potential advantages. Furthermore, they show how a mismatch between a strategic approach and its chosen configuration could work against any positive impact and lead to disillusionment with the BCT. Thus, managers should assess carefully the impact of such different configuration choices on performance.

To the best of the authors’ knowledge, this is the first study to attempt to analyse the economic implications of adopting BCT in the food sector from both a firm and supply chain perspective. Additionally, it shows how interpreting these impacts is contingent on the diverse modalities for embedding BCT into existing supply chains.

This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach.

The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0.

Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations.

While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits.

This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.

The purpose of this study is to critically analyze the key factors contributing to gender disparities in the science, technology, engineering and mathematics (STEM) fields and propose creative solutions to mitigate these differences. Despite the significance of this issue, it has not received sufficient attention owing to the absence of clarity regarding the factors that exacerbate the gender gap.

This study used a qualitative methodology that combined the viewpoints of social psychology and educational research to pinpoint and evaluate essential elements. Using a grounded theory approach, semistructured interviews were analyzed, and the obtained data were coded and categorized using ATLAS.ti software.

This qualitative research identified three key areas: internal and external factors influencing the gender gap, as well as strategic actions within higher education to address these disparities. The innovative contribution of this study lies in its development of a comprehensive theoretical framework that enables the diagnosis, quantification and understanding of these factors and proposes practical measures to mitigate these gender disparities. By promoting greater gender diversity, the proposed model can contribute to more inclusive and sustainable development, which is consistent with the 2030 agenda.

This study highlights the need for a multidimensional approach to address the gender gap in higher education, fills a crucial knowledge gap and provides a theoretical model to guide effective university policies.

Blockchain technology can potentially address the challenges of information storage, sharing and management and improve them further in an organization and sector as a whole. This study aims to investigate the effects of technology, organization and environment on the behavioral intention of employees to adopt blockchain in the Indian insurance sector and the mediating role of knowledge management practices.

A structured questionnaire was used to collect a sample size of 390 responses based on convenience sampling. Partial least square structural equation modeling was used to analyze the data.

The findings highlighted that organizational factors, followed by technological factors, significantly impact employees' behavioral intentions. The results established that the impact of environmental factors is insignificant on blockchain adoption intention. Knowledge management practices significantly mediate the relationship between organizational factors, technological factors and behavioral intention.

The results indicate that organizations must prioritize organizational factors (technological competence, top management support and financial readiness) and knowledge management practices (knowledge creation, sharing and retention) to positively impact employees' behavioral intentions and ensure successful and effective technology adoption.

Using the Technology-Organization-Environment framework, the study tests the conceptual model, showing the relationship between technological, organizational and environmental factors, behavioral intention and knowledge management practices. The role of knowledge management practices in technology adoption within organizations has been scarcely explored. This study adds significant and novel contributions in this area.