Search results

In recent years, the emergence of Industry 4.0 technologies as a way of increasing productivity has attracted the attention of the manufacturing industry. This study aims to investigate the relationship between Industry 4.0 technologies and lean tools (LTs) by measuring how the internalisation of LTs influences the adoption of Industry 4.0 technologies and how the synergy between them helps improve productivity in European manufacturing firms.

Results from 1,298 responses were used to analyse linear regression and study the correlation between the use of LTs and Industry 4.0 technologies.

Results show that the companies analysed tend to implement more Industry 4.0 technologies when their level of lean internalisation is high.

This study provides useful information for managers of manufacturing firms by showing the correlation between LT internalisation and Industry 4.0 technologies, corroborating that optimal implementation of these technologies is preceded by a high level of LT internalisation. Furthermore, although there are studies showing the relationship between LTs and Industry 4.0 technologies, none consider the intensity of their implementation.

This study aims to explore the possibilities for regional (intra and inter) trade between Central Asia and South Asia (CASA) by examining several frameworks that impact the economic integration of these regions.

The study uses five indices, specifically the export diversification index, export survival rates, export sophistication, revealed comparative advantage and intra-industry trade index in South and Central Asia, from 2005 to 2021.

The findings show a twofold increase in the potential trade value between the two regions compared to the actual level. The intra-regional trade in Central Asia accounts for less than 5% of trade with all countries, whereas the intra-regional trade in South Asia accounts for 1.5%, and the inter-regional trade accounts for between 0.2 and 4% of total trade to all destinations. The intensity of trade measurements shows that inter-regional trade flows are modest because they make up a relatively small percentage of the entire trade volume, which includes all destinations, ranging from 0.2 to 4 %.

These findings have a significant impact on the successful implementation of trading-related measures, initiatives and institutional mechanisms for encouraging improved trade between and within both regions.

Export diversification initiatives aim to provide favourable outcomes for all parties involved, focusing on expanding the range of goods and services exchanged. CASA countries with higher diversification have shown more favourable outcomes than those relying on a restricted range of products. The authors expect policies promoting a broader array of exports to boost market shares, while maintaining a narrow focus may hinder new export prospects. In addition, regional value chains and policy initiatives promoting trade and investment could lead to increased value additions to exports, technological transfers and job creation.

The study emphasises the significance of trade-related policies, programmes and institutional mechanisms in promoting trade between CASA. It emphasises the need for policies that support investment and trade, adopt new requirements of the Agreement on Trade Facilitation and promote diversity and latency.

Based on economic analysis, the study offers practical insights and strategies for businesses in the CASA regions. It also provides analytical tools for academics and decision makers, as well as policy and programme recommendations for government agencies, development partners, researchers and individuals interested in trade dynamics in these regions.

The current study explores the role of social psychological factors on organizational commitment. It examined the relationships between organizational fairness, inclusion, diversity, sexism, psychological safety and affective commitment.

The study adopted a cross-sectional survey method where data were collected from staff across six higher education institutions in the United Kingdom. A total of 416 responses were collected and the data were analyzed by employing independent sample t-tests to explore gender differences regarding organizational diversity, inclusion, fairness, sexism, psychological safety and affective commitment. The mediating role of psychological safety in the effects of organizational diversity, fairness, inclusion and sexism on staff’s commitment to the organization was evaluated through a series of simple mediation models. Finally, the mediated effect of organizational social psychological factors on affective commitment through psychological safety, moderated by gender was tested.

As hypothesized, men had higher perceptions of organizational inclusion and diversity and viewed their organization as less sexist. Psychological safety mediated the positive effects of organizational diversity, fairness, inclusion and sexism on staff’s affective commitment to the organization. Organizational diversity and sexism played a bigger part in how women evaluate their organizational environment as safe to take risks and be themselves and consequently on how they commit to the organization. On the other hand, organizational fairness and inclusion seem more closely tied to men’s evaluation of their organization as safe to be themselves and consequently stronger commitment.

The findings shed light on the underlying mechanisms that shape affective commitment, that can lead to more inclusive work environments and contribute to systemic change in the Higher Education context.

Financial technologies form the heart of considerable disruptive innovation. Fintech is the emerging financial infrastructure for modern business. Big data are the feedstock for artificial intelligence (AI) that drives many fintech sectors – start-up finance, commodities and investment instrumentation, payment systems, currencies, exchange markets/trading platforms, market-failure response forensics, underwriting, syndication, risk assessment, advisory services, banking, financial intermediaries, transaction settlement, corporate disclosure, and decentralized finance. This chapter demonstrates how analyzing big data, largely processed through cloud computing, drives fintech innovations, scholarship, forensics, and public policy. Despite their apparent virtues, some fintech mechanisms can externalize various social costs: flawed designs, opacity/obscurity, social media (SM) influences, cyber(in)security, and other malfunctions. Fintech suffers regulatory lag, the delay following the introduction of novel fintechs and later assessment, development, and deployment of reliable regulatory mechanisms. Big data can improve fintech practices by balancing three key influences: (1) fintech incentives, (2) market failure forensics, and (3) developing balanced public policy resolutions to fintech challenges.

This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

There is little to no empirical research on the phenomenon of ways in which the racism of whiteness transpires within the faculties and classrooms of US-based ALA-accredited library and information science (LIS) education programs. We do have scholars publishing meaningful work exploring diversity-equity-inclusion topics and initiatives to evolve the LIS discourse on these issues (Honma, 2005; Chancellor, 2019; De LaRosa et al., 2021; Gibson, 2019; Mehra et al., 2023; Colón-Aguirre et al., 2022; Hands, 2022). This research substantiates the conceptual research that exists by empirically exposing the ways in which the racism of whiteness functions at the interpersonal level of work culture in LIS programs (i.e. the academy) in the US.

Adapting Baima and Sude’s (2020) modified Delphi Method, a focus group of 13 BIPOC (Black, Indigenous, and People of Color) library and information science faculty members in the United States were recruited to participate in a one-time 60-min virtual Zoom session. Participants were engaged in three iterative rounds of reflective inquiry to reach a consensus of experience. The study design was embedded with critical race theory-based (CRT) ethnographic methods such as testimony (counterstorytelling), collective affirmation (shared narratives), and silence.

BIPOC LIS faculty (tenure-track and tenured) have similar ideas about whiteness and how it is operationalized as micro- and macro-aggressions in the LIS academic workplace, most significantly inside the classroom. The experience of whiteness was prevalent among all study participants in two areas: workplace meetings with faculty colleagues and classroom sessions (face-to-face and online) with students.

The findings offer empirical evidence to support the prolific conceptual literature in LIS discourse concerning ways in which critical race theory (CRT) interrogates LIS’s socio-professional injustices and inequities (e.g. Gibson et al., 2018; Stauffer, 2020; Leung and Lopez-McKnight, 2021; Jennings and Kinzer, 2022; Snow and Dunbar, 2022). There remains a dearth of empirical research that reports how whiteness is reproduced in the practices, knowledge, and resources that make up the ethos of the LIS faculty meeting and classroom. Documenting the testimonies of BIPOC LIS faculty solidifies the existence of whiteness as a toxic reality in the LIS academy.

Annual performance evaluations of faculty are a routine, yet essential, task in higher education. Creating (or revising) performance criteria presents an opportunity for leaders to work with their teams to co-create evaluation metrics that broaden participation and minimise inequity. The purpose of this study was to support organisational leaders in developing equitable performance criteria.

We adopted the “dual-agenda” dialogues training that draws on concepts of collective self-efficacy and intersectionality for department leaders to co-create annual review criteria with their faculty members at one university. We used qualitative and quantitative data to assess the training and conducted an equity audit of the resulting annual review criteria.

Survey results from faculty members and departmental leaders (n = 166) demonstrated general satisfaction with the process used to create new criteria, perceptions that their criteria were inclusive and optimism about future reviews. Those with greater familiarity with the dialogues process had more positive perceptions of the inclusivity of their department’s criteria and more positive expectations of future reviews. The examination of eight indicators of equity illustrated that the resultant criteria were transparent and holistic.

This study builds on the relatively little research on faculty members’ annual performance evaluations, focussing on inclusive dialogues that centre equity and diversity. Results highlight the value of providing department leaders with evidence-based tools to foster system-level change through equitable evaluation policies. A toolkit is available for adaptation of the “dual-agenda” leadership training to both co-create annual review criteria and improve equity and inclusion.

The purpose of this paper is to investigate how different manufacturing technologies are bundled together and how these bundles influence operations performance and, indirectly, business performance. With the emergence of Industry 4.0 (I4.0) technologies, manufacturing companies can use a wide variety of advanced manufacturing technologies (AMT) to build an efficient and effective production system. Nevertheless, the literature offers little guidance on how these technologies, including novel I4.0 technologies, should be combined in practice and how these combinations might have a different impact on performance.

Using a survey study of 165 manufacturing plants from 11 different countries, we use factor analysis to empirically derive three distinct manufacturing technology bundles and structural equation modeling to quantify their relationship with operations and business performance.

Our findings support an evolutionary rather than a revolutionary perspective. I4.0 technologies build on traditional manufacturing technologies and do not constitute a separate direction that would point towards a fundamental digital transformation of companies within our sample. Performance effects are rather weak: out of the three technology bundles identified, only “automation and robotization” have a positive influence on cost efficiency, while “base technologies” and “data-enabled technologies” do not offer a competitive advantage, neither in terms of cost nor in terms of differentiation. Furthermore, while the business performance impact is positive, it is quite weak, suggesting that financial returns on technology investments might require longer time periods.

Relying on a complementarity approach, our research offers a novel perspective on technology implementation in the I4.0 era by investigating novel and traditional manufacturing technologies together.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.