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Based on the principles of positive psychology, this study aims to investigate the mediating role of job characteristics (task, knowledge, social and work context) in the connection between lean manufacturing (LM) practices and employee well-being.

Employee well-being, encompassing job satisfaction, organizational affective commitment and work involvement, is conceptualized as a second-order construct. Using a proposed model, an online survey was administered to 520 participants across 23 operational sectors categories of the Brazilian manufacturing industry. The data is processed using structural equation analysis.

The research shows that the relationship between LM practices and employee well-being is partially mediated through three out of the four work characteristics (task, knowledge and social). In addition, LM exerts a direct and significant influence on employee well-being.

This study contributes to practical insights by encouraging industrial managers to refine their managerial work design. It highlights the importance of appropriately dimensioning tasks, nurturing social skills to enhance interactions and task execution and optimizing physical facilities to counteract potential initial-stage work intensification during LM implementation.

Previous research about organizational behavior extensively examines happiness at work, focusing on constructs such as well-being, satisfaction, commitment, engagement and motivation, but there is a lack of studies assessing employee well-being in the lean context, particularly from a positive perspective.

This article investigates different terms and concepts of paradox dimensions in Public Administration because these terms are often used interchangeably. The aim is to reveal the theoretically based macro-level concepts and establish a common ground for a shared dialogue about managing paradoxes in the field.

This article uses a complementary review approach. First, a systematic literature review is executed to identify the macro-level paradox concepts and to capture their theoretical common ground. Second, the problematizing literature review aims to reflect Public Administration literature with literature from outside the field, mainly from Organization Studies and General Management.

For the most part, the macro-level paradox concepts in Public Administration are used to illustrate the context or situation of another research topic, rather than as standalone theories to be conceptually or empirically explored. In 63 out of 589 articles, we found a theoretical definition of the mentioned macro-level paradox concept. This definition refers mainly to the sources of paradoxical situations and focuses less on the decisions and reactions thereto. Based on the review findings, an analytical model for the management of paradoxical situations in the public sector is provided and applied, followed by recommendations for further research.

This article aims to combine the macro-level paradox concepts in Public Administration with the insights of Paradox Theory and reveals that paradoxes could be a core topic in the field. Scholars in Public Administration could approach paradoxical situations from their own perspective while simultaneously strengthening the field’s identity by encouraging multiperspectivity.

This exploratory study aims to examine how wine stakeholders' are adopting innovative advancements in smart industry 4.0 application technology (SI4.0AT) coupled with electronic word-of-mouth (e-WOM) techniques to increase winery visitation and wine sales, prior to and during a global pandemic in the Yarra Valley in Victoria, Australia.

A qualitative interpretivist geographical bounded case study approach was used to collect data from fifteen Victorian wine stakeholder's prior to and during the global pandemic COVID-19. A thematic analysis was applied to interpret participant responses and how they viewed, reacted to and harnessed S14.0AT and e-WOM to continue and increase wine sales.

The findings suggest few wine stakeholders' were actively implementing SI4.0AT prior to the global pandemic, COVID -19. With the forced closure of wineries to visitors across Australia, most small to medium-sized wineries immediately changed their business models to concentrate on domestic e-commerce wine sales and home delivery. To support these new business models, e-WOM techniques were quickly adopted or increased whereas other S14.0AT technologies were not, due to financial restraints.

The number of participants used in this study is a limitation, however, this can be overcome by replicating this study in other wine regions. This research focused on the wine stakeholders' viewpoint only and may not be easily generalised. Future studies may examine the “what” aspect of SI4.0AT is being used and e-WOM content such as investigating what consumers are saying about these wineries, the method of communication and the motivations for consumers to engage with a winery.

The implications for the wine industry and overall results offer insight into the wine stakeholders' perceptions of SI4.0AT and e-WOM and consequent marketing strategy of wineries in the Yarra Valley, Victoria, both pre- and during forced face-to-face winery closures due to a global pandemic. Wineries need to continue to harness and leverage the benefits of e-WOM wine marketing in their marketing strategies and continue to explore the affordability of 4.0 app technology and Tourism 4.0 options.

This study is the first attempt at investigating how wine stakeholders' view; react to and harness SI4.0AT and e-WOM through formalised online marketing strategies which should continue to be investigated in the future.

This paper aims to investigate the influence of health beliefs and trust by senior adults as associated with the perceived ease of use and perceived usefulness, for the acceptance of smart technology with a focus on smartwatch technology.

Structural equation modeling is used to conceptualize the model using survey data collected from 243 randomly selected senior adults 60+ years of age.

This paper presents that perceived usefulness, perceived ease of use, trust and health belief are direct and indirect predictors of senior adults’ technology acceptance and intention to use smartwatch technology.

The study reveals the moderator effect of social influence on relation between perceived usefulness, perceived ease of use and intention to use. The authors highlight the effect of health belief and trust on perceived usefulness and perceived ease of use and the role of intention to use smartwatch technology.

The authors contribute bridging developers of health technologists and senior adults as end-user perspectives. For marketing of health-care technology products, specifically smartwatch, to seniors, a focus on health beliefs and trust is essential to build, maintain and improve perceived usefulness and perceived ease of use.

The present study contributes empirical evidence to the literature on factors affecting the acceptance of the smartwatch technology by senior adults.

Educational data mining (EDM) discovers significant patterns from educational data and thus can help understand the relations between learners and their educational settings. However, most previous data mining techniques focus on prediction of learning performance of learners without integrating learning patterns identification techniques.

This study proposes a new framework for identifying learning patterns and predicting learning performance. Two modules, the learning patterns identification module and the deep learning prediction models (DNN), are integrated into this framework to identify the difference of learning performance and predicting learning performance from profiles of students.

Experimental results from survey data indicate that the proposed identifying learning patterns module could facilitate identifying valuable difference (change) patterns from student’s profiles. The proposed learning performance prediction module which adapts DNN also performs better than traditional machine techniques in prediction performance metrics.

To our best knowledge, the framework is the only educational system in the literature for identifying learning patterns and predicting learning performance.

Worldwide challenges impose public organizations to rethink their processes and satisfactorily meet citizens’ needs. Process mining (PM) techniques enable organizations to objectively analyse and improve their processes, by providing higher process transparency and efficiency. However, extant literature on PM applications in the public sector reveals there is still limited evidence on the opportunities and challenges perceived from PM introduction in the public sector, and on PM potential to enhance public sector digital transformation: this study aims to fill these gaps.

Based on Business Process Management and digital innovation fields of research, we administered a questionnaire to a sample of Italian civil servants working in different public organizations to investigate their perceptions of PM opportunities and challenges and the extent to which it can support public sector digital transformation. A three-level analysis was conducted to inspect findings with different levels of granularity, and results were analysed both descriptively and quantitatively.

We found a positive attitude towards PM introduction in the public sector, and perceived opportunities and challenges related to both the technical and the social systems. The triangulation between close-ended and open-ended questions suggests that PM could be the missing link between public sector digitalization and digital transformation. These findings can be used by policymakers to develop the best strategies to introduce PM into public organizations and support its adoption, and by researchers to further explore PM role in public sector digital transformation.

Despite PM claiming to push digital transformation, it is not clear if it is also true for public sector organizations. This paper addresses this gap and it is among the first attempts to explore PM from civil servants’ viewpoint to investigate their perceptions of PM opportunities and challenges, as well as the variables that influence these perceptions.

Talent management is conducted to maximize an organization's overall performance and efficiency which helps to serve as a competitive advantage. Human resource management is a concept which includes human-related activities, but talent management is a strategy which helps to get new talent, develop their skill sets and provide better employee engagement and experience to retain the top potential employees in an organization. Improvement in recruiting and retention of a workforce results from a well-executed talent acquisition approach. In the 21st century, employee retention has become a primary concern for the organizations specially with work from home and hybrid models.

The workforce for tomorrow is going to be very different from what it has been. Technology is transforming the way people work within organizations. The workplace is rapidly evolving in terms of people and processes and is going through a lot of technological changes. The terminologies such as automation, artificial intelligence, augmented reality and block chain technologies are slowly becoming part of the workplace and everyday activities of the organization.

The challenges are many and especially post-pandemic organizations are going through some major changes such as a mindset shift of employees to take up more remote working opportunities, building virtual teams, increase in the gig economy workers (contractual workers) and a diverse workforce which makes it even more challenging for the organization to manage and retain talent.

Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance.

This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components.

The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience.

The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.

The purpose of this paper is to analyze the twin transition of textile firms operating in an industrial district. The twin transition comprises two interconnected but distinct processes: the sustainable transition and the digital transition. The study specifically considers sustainability goals in terms of the triple bottom line and digitalization as the adoption of Industry 4.0 (I4.0) technologies. The study aims to understand how the characteristics of Italian districts influence the choices related to the twin transition and how it affects textile industrial firms.

The author conducts a multiple-case study involving five firms of industrial textile district of Prato.

The results show the relationship between the characteristics of the district, such as fragmentation of the supply chain, lean manufacturing, territorial proximity and attachment to origins and traditions and the sustainable goals and I4.0 technologies adoption. Moreover, the study proposes a framework for twin transition. Market and technology drive the process in which sustainability represents the aim, I4.0 serves as enablers and the relevant outcome is the implementation of the business model innovation.

These findings offer valuable insights for textile firms, policymakers and stakeholders seeking to navigate the complexities of twin transition.

The study contributes to the broader topic of twin transition. In particular, it links the particular context represented by the industrial district in which the textile firms operate to their conduct, and the two interconnected and distinct processes, sustainable transition and digital transition, with the business model innovation topic.

The major objective of this research work was to evaluate various physico-chemical characteristics, such as, chemical composition, antioxidant capacity, objective color and texture profile analysis (TPA) of the wheat flour/chickpea flour (CF) blends, so that nutritious baked products could be consumed by the type-2 diabetic persons.

Wholegrain wheat flour (WGF) and white wheat flour (WWF) were substituted with CF at 0 to 40% levels. These wheat flour/CF blends were analyzed for proximate composition, the prepared dough and baked breads were tested for objective color, antioxidant capacity as trolox equivalent antioxidant capacity (TEAC), malondialdehyde (MDA) and total phenolic content (TPC) and TPA.

WGF had the highest TEAC (117.42 mM/100g) value, followed by WWF (73.98 mM/100g) and CF (60.67 mM/100g). TEAC, MDA and TPC values varied significantly among all the three flour samples.

Inclusion of whole chickpea (without dehulling) flour in such type of blends would be another interesting investigation during the future research studies.

These research findings have a great potential for the production of these baked products for human consumption on an industrial scale.

Production of breads using wheat flour and CF blends would benefits the consumers.

Production of Arabic and pan breads using wheat flour and CF blends would, therefore, combine the benefits of both the needed proteins of plant origin and the health-promoting bioactive compounds, in a most sustainable way for the consumers.