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Quality management practices (QMP) have stood as one of the critical strategic differentiators for enhancing firm performance. The production and manufacturing industry is the main driving force of economic growth and social development for any developed or developing country. This study aims to focus on two primary dimensions of QMP: soft quality management practices (SQMP) and hard quality management practices (HQMP) from the socio-technical system perspectives. Based on institutional theory perspectives, the study explores the impact of SQMP and HQMP on quality performance (QP), innovation performance (IVP) and financial performance (FP) in Indian oil processing organizations.

A proposed research model is validated using 289 cross-sectional survey data collected from the senior officials of oil processing firms in India. Covariance-based structural equation modeling is used to verify the proposed theoretical model.

SQMP, directly and indirectly, influenced QP and IVP while only indirectly to FP mediated through QP. HQMP directly impacted only QP while indirectly to IVP and FP mediated through QP.

Impact of organizational legitimacy in proper utilization or application of QMP in achieving the firm sustainable growth. The future study may address the following Research Question (RQ) also: How do QMP enhance the legitimacy of organizations operating in the oil processing industries? Are there specific mechanisms or pathways through which improved performance contributes to enhanced organizational legitimacy? How does legitimacy impact the success and sustainability of organizations, particularly, within the context of the oil processing industries? Are there regulatory requirements or industry certifications that organizations must adhere to in order to maintain legitimacy?

Similarly, manufacturing firms establish QMP of interaction and maintaining relationships with all the stakeholders, total employee empowerment and involvement, workforce commitment and workforce management, helping to control their reputations and maintain legitimacy (Li et al., 2023). Similarly, in the health industry, the health management information system (HMIS), which uses the DHIS2 platform, establishes that isomorphism legitimizes data QMP among health practitioners and, subsequently, data quality. Further, it was concluded that mimetic isomorphism led to moral and pragmatic legitimacy. In contrast, normative isomorphism led to cognitive legitimacy within the HMIS structure and helped to attain the correctness and timeliness of the data and reports, respectively (Msendema et al., 2023). Quality, flexibility and efficiency of Big Data Analytics through better storage, speed and significance can optimize the operational performance of a manufacturing firm (Verma et al., 2023).

The study provides the academician with the different dimensions of QMP. The study demonstrates how a firm develops multiple performance capabilities through proper QMP. Also, it shows how vital behavioral and managerial perspectives are to QMP and statistically solid tools and techniques. The study draws their importance to risk factors involved in the firms. Since the SQMP play a vital role, thus, emphasis on the behavioral dimension of quality requires more investigation and is in line with hard technological advancements in the quality field.

The study of the impact of HQMP and SQMP on performance is still not established. There are inconsistencies in the findings. The study of the impact of HQMP and SQMP in oil processing industries has not dealt with before. The effects of HQMP and SQMP on the firm’s FP have least been dealt. In context to the intended influence of QM implementation, QP has not been examined as a potential mediator between FP. Research carried out in the past is limited to American and European countries. However, a limited study was done in Asia, and no study has been conducted in the Indian context.

Benchmarking e-government and digital society developments using relevant indicators provides crucial insights into what aspects to consider while building a resilient digital society in which digital public services are delivered effectively and sustainably. The purpose of this paper is to analyse selected indices and indicators over the years and provide findings and recommendations on what indicators contribute most to the development.

A mixed research approach was used to conduct the research and collect, analyse and interpret data. A qualitative analysis involving the search, decomposition and comparison approaches to identify e-government and digital society reports, indices, rankings and indicators was followed by a quantitative analysis comprising of regression and cluster analyses.

The findings revealed that changes in the mix of indicators used by e-government and digital society indices can be attributed to advances in ICT and channels through which people communicate and receive information. The authors found that digital and telecommunication infrastructures and the quality of their parameters such as broadband have the biggest influence on progress of the e-government and digital societies developments and contribute most to clustering of the EU member states into groups.

The paper provides insights into how the structures of related indices changed over the years and how different indicators contribute to benchmarking of e-government and digital society developments by means of their weights. It provides governments with recommendations on which indicators to focus most.

This research aims to explore whether or how organizations adopt people analytics (PA), its value and potential socio-technical factors that can enable or hinder PA projects by disrupting and reshaping human resource management. We do this by focusing on the Italian context.

We conduct a scoping review of data collected between 2018 and 2022 via Google Alerts (GA), a content change detection and notification service that is gaining popularity in scholarly research.

Our findings suggest that the diffusion of PA applications in Italy, especially those of a descriptive nature, is growing. Most of the existing PA applications are positioned in a positive technocratic light, envisioning the value of PA for both employees and organizations. The value for the latter appears to be direct, while the value for employees is realized through organizational initiatives. The findings also suggest that while enablers can vary between PA application types, the barriers, especially technological and environmental, are generic for both descriptive and predictive/prescriptive PA applications.

Theoretically, we propose a framework for analyzing PA applications, their values, enablers and barriers. Methodologically, we present and describe in detail a novel approach, drawing on GA that can be used to study PA in specific contexts. Practically, our study serves as a helpful point of reference for managers planning or implementing PA in Italy, for benchmarking PA in Italy over time and for comparative international studies.

The paper addresses the issue of change in Wikidata ontology by exposing the role of the socio-epistemic processes that take place inside the infrastructure. The subject of the study was the process of extending the Wikidata ontology with a new property as an example of the interplay between the social and technical components of the Wikidata infrastructure.

In this study, an interpretative approach to the evolution of the Wikidata ontology was used. The interpretation framework was a process-centric approach to changes in the Wikidata ontology. The extension of the Wikidata ontology with a new property was considered a socio-epistemic process where multiple agents interact for epistemic purposes. The decomposition of this process into three stages (initiation, knowledge work and closure) allowed us to reveal the role of the institutional structure of Wikidata in the evolution of its ontology.

This study has shown that the modification of the Wikidata ontology is an institutionalized process where community-accepted regulations and practices must be applied. These regulations come from the institutional structure of the Wikidata community, which sets the normative patterns for both the process and social roles and responsibilities of the involved agents.

The results of this study enhance our understanding of the evolution of the collaboratively developed Wikidata ontology by exposing the role of socio-epistemic processes, division of labor and normative patterns.

Micro and small enterprises (MSE) play a critical role in the Swiss economy but had no meaningfully adopted working from home (WFH) policy before the COVID-19 crisis. The timing of the study’s data collection allowed a unique assessment of Swiss MSEs’ adoption of WFH enabled by the adoption of digital technologies due to the first government-mandated COVID-19 lockdown. The study also set out to assess the permanence of any changes in the adoption of WFH by MSEs after initial government COVID-19 restrictions ended.

The study uses a threefold theoretical framework combining social, technical and spatial dimensions. Data were collected via telephone interviews. The utilised sampling frame included 153,000 small businesses with 4–49 employees, and the realised sample for the study was 503 interviews with MSE owners and managing directors (MDs).

The Swiss government’s COVID-19 crisis lockdown policies accelerated the digital transformation of work by employees in Swiss MSEs by increasing the number of employees WFH. However, the number of MSEs with WFH employees decreased after the first lockdown ended. Small business leadership is an important influence on the persistence of any increases in WFH.

The data collection uniquely captures the effects of externally driven digital transformation of work in small businesses by the adoption of WFH. The findings show that small businesses can rapidly learn new ways of working and support the claim that Swiss MSE MDs play a critical role in the adoption of WFH. They also confirm the importance of digital leadership and culture for realising the potential of WFH in small businesses.

This conceptual work examines how, in times of post-COVID-19 paradigm shift, the employee performance management (PM) process can help multinational corporations (MNCs) strengthen their talent management and, at the same time, meet their future needs.

We take a conceptual approach and present our perspective on what we see as the most critical trends shaping PM and talent management. Contingency theory and Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) theory provide a sound theoretical framework for understanding and responding to the complex and rapidly changing business context post-COVID-19.

Drawing on these theories, we create a framework providing a means of understanding why and how MNCs can maintain talent and, at the same time, develop new talent through the PM process.

Importantly, our study emphasizes the critical role that project management and talent management techniques play for both practitioners and scholars. In order to gain and sustain a competitive edge in the ever-changing VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) landscape, these processes necessitate ongoing reassessment and adaptation. As Plato eloquently stated, “Our Need Will Be the Real Creator,” encapsulating our vision for the proactive and dynamic nature of effective project management and talent management practices.

The study establishes the benefits of an agile and flexible PM approach to help develop talent and pave the way for future research in this increasingly critical area

Despite increased interest in the Operator 4.0 concept, there has been scarce attention on practice-oriented frameworks that can assist firms in reaping the potential benefits of technologies within the I4.0 framework. The purpose of this paper is to provide an integrative framework on how to engage Operator 4.0 effectively.

Following meta-synthesis logic and integrative conceptual analysis, this study synthesizes and integrates experimental case studies on Operator 4.0 solutions. The analysis is conducted on 24 cases retrieved from peer-reviewed articles.

The analysis revealed several factors that determine the type and extent of benefits that can be realized within a human-cyber-physical system. However, enhancing these capabilities is not straightforward, as several factors can inhibit the realization of these capabilities. Firstly, the benefits vary depending on the type of Operator 4.0. Secondly, the interoperability of the introduced I4.0 solution with the existing systems is crucial. Thirdly, the adaptability of the solution to serve multiple purposes is crucial, as it tends to increase technology acceptance.

The studies reviewed in this research were based on experimental cases, with limited implementation of the solutions they proposed. As such, their implications when implemented on a larger scale are tentative.

The present study has synthesized existing experimental cases and developed an integrative framework to guide the implementation of Operator 4.0. By gathering primary insights from these experiments, we have clarified when and how Operator 4.0 and the required interactions can lead to successful implementation.

This study aims to investigate accounting practices within a non-Western (indigenous) context and provide insights into alternative accounting approaches and perspectives.

This study adopts an interpretive research approach to gain an in-depth insight into the functioning of accounting in Solomon Islands’ unique cultural and social-political context. In-depth interviews were conducted to gain insights into the perceptions and meanings held by participants concerning Western accounting practices and their limitations.

The findings provide unique insights into different interpretations of accounting and accountability through two distinct cultural lenses – Western and non-Western. The complimentary and rival explanations on what accounting and accountability are doing and what accounting and accountability should be doing will help close the gap in knowledge and contribute to shaping a better world for indigenous people.

Implications for practice involve fostering collaborative efforts among individuals, communities, leaders and institutions to harness cultural strengths through accounting. Additionally, continuous capacity building and education are essential to develop accounting skills, enhance financial literacy, promote professional expertise and build a pool of skilled accountants with local knowledge to support indigenous communities.

This study is original and provides novel insights supporting the need for accounting to recognise the importance of indigenous perspectives, adapt to cultural sensitivity and integrate cultural norms and values into accounting practices to make an impact and achieve greater social and moral accountability.

In this research article we aim to answer two research questions: - With ever increasing AI based integrations in organizations, it is imperative to understand how employees learn and adapt to these newer technologies? What is the impact of this learning and adaptation on AI-based employee productivity?

A survey-based research design has been conducted among the employees working in technology companies. Questionnaires were administered by the researchers physically using snowball based purposive sampling to reach the participants who are working in the AI driven technology companies. The data was analyzed using Structural Equation Modelling and numerous studies have previously used this approach for model fit and testing.

it was found that employee learning has significant positive mediational impact on the relationship between AI trust, knowledge sharing and AI skills and AI-employee collaboration. SEM results indicate that data fits the proposed model well.

findings indicate that as the trust in AI develops, employees are more interested in learning and increasing their understanding of AI driven work and increase their AI skills such as Machine learning and data analytics. To increase AI-employee collaborations and upskilling: organizations will need to foster AI training opportunities; make employees work on projects having AI based sociotechnical systems; create environment of knowledge sharing among employees on AI themes.

The use of Artificial Intelligence (AI) is ubiquitous, and more and more organizations are adopting AI in their operations which lead to massive scale changes in the functioning of organizations. These large-scale massive transformations are posing challenges and opportunities at the same time. At the same time, it created immense challenges for employees’ adjustment to the new learning and skilling requirements posed by AI (Sengupta et al., 2022). It is therefore expected that employees embrace the associated new technologies of AI such as big data analytics, Machine learning and Robotics.

Social practices of work humor among engineering workers are a lesser studied phenomenon. We examine the social practices of an engineering work team through acts of a peculiar form of humorous expression we identify as installation humor. In these cases of installation humor, an anonymous member of the team created a temporary, inappropriate, yet neutral installation of a physical object to amuse the other members of the team. We provide three mini-cases of installation humor; these installations appeared as the team subtly resisted a managerial initiative. We contribute knowledge to the practices of engineers at work and to the practices of resistive humorous expression.

Qualitative, full-participant ethnographic research with multiple data collection methods and utilizing abductive analysis. During the data collection, one of the researchers was a full member of the engineering team.

We identified anonymous, artefact-based enactments of resistive humorous expression, which we named installation humor. We identify and describe installation humor, which occurred at the intersectionality of work and self-expression and served as momentary artefacts symbolic of engineering worker resistance in a high-tech environment.

Managerial awareness of the unfolding forms of worker-led, fleeting signals of resistance, such as acts of installation humor, would provide another dimension of perception for identifying salient signals surrounding the phenomenon of resistance to managerial-led change initiatives. Further research is needed on engineering humor in the R&D workplace to better understand the complexity and dynamics of phenomena such as worker resistance through humorous acts. We suggest future studies on forms of humor in the engineering workplace, including incidences of installation humor as they exist in other professional work environments and organizations, to understand common and shared practices across professional boundaries.

We advance and extend the understanding of humor as a social practice in the context of professional engineers in their R&D workplace and we identify humorous acts serving as a response to negative emotions (Huber, 2022) toward the organization related to a newly instated form of managerial control. This paper contributes to the studies of social practices of humor and emotions (Fine and De Soucey, 2005) in the engineering workplace (Buch and Andersen, 2013; Buch, 2016; Mazzurco et al., 2021) as unsupervised activity at work (Gabriel, 1995), with the social practice of humor adopting a non-verbal form that we identified as installation humor. We named this specific form of humor that we observed as installation humor and defined its specificity and differences from more traditional methods of humor (t. ex. Fine and De Soucey, 2005; Martin and Ford, 2018), shop floor humor (t. ex. Roy 1959), workplace humor (t. ex. Rosenberg et al., 2021) and engineering student humor (Holmila et al., 2007; Bender, 2011; Berge, 2017).The results of this study also suggest that ethnography for studying humor as a social practice is useful in identifying micro-level occurrences of unfolding engineering humor, including humor as a form of resistance.

The study of humor in high-tech engineering settings enhances the literature of engineering work (t. ex. Mazzurco et al., 2021) and emerging humorous phenomena (Jarzabkowski and Lê, 2017). This case study highlights and extends the understanding of the non-technical competencies of engineers and the role of peer-to-peer humor in the engineering workplace as a form of resistance during managerial initiatives within an organization.

The study extends and contributes new knowledge to research on emotions and humor by engineers at work, including the identification of a peculiar form of humor used by the engineers. This study also contributes to nascent research on the social practices of engineers at work. The research material was gathered as a full-member ethnography, increasing methodological knowledge of researching a site from within.