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This research fills a gap in process science by defining and explaining entropy and the increase of entropy in processes.

This is a theoretical treatment that begins with a conceptual understanding of entropy in thermodynamics and information theory and extends it to the study of degradation and improvement in a transformation process.

A transformation process with three inputs: demand volume, throughput and product design, utilizes a system composed of processors, stores, configuration, human actors, stored data and controllers to provide a product. Elements of the system are aligned with the inputs and each other with a purpose to raise standard of living. Lack of alignment is entropy. Primary causes of increased entropy are changes in inputs and disordering of the system components. Secondary causes result from changes made to cope with the primary causes. Improvement and innovation reduce entropy by providing better alignments and new ways of aligning resources.

This is the first detailed theoretical treatment of entropy in a process science context.

This study aims at determining the influence of the competitive strategy types and organizational structure dimensions on Cost of Quality (CoQ) in Food and Beverage (F&B) small- and medium-sized enterprises (SMEs).

A survey questionnaire was sent to F&B companies in Greece and 307 responded positively and fully completed the questionnaire. The research model developed (consisting of the competitive strategy types, the organizational structure dimensions and CoQ) was tested using the exploratory and confirmatory factor analyses and the structural equation modeling (SEM) technique.

The findings indicated that cost leadership, centralization and formalization influence the CoQ positively and significantly. By contrast, differentiation does not influence CoQ.

The small sample of the responding companies operating in one country, the different F&B sub-sectors, the subjective perceptions of only one representative per company and the cross-sectional nature of the study are the main limitations of the present study.

This paper provides academicians and practitioners with a better understanding of the factors that influence the quality-cost level.

To the best of the authors' knowledge, this is the first study that examines the effect of competitive strategy and organizational structure on CoQ.

Regarding human resource and labour relations management, academia focuses mainly on cities; however, rural areas are an integral part of China's economic structure. This study focuses on the movie projection industry in China's rural areas and explores how human resource practices (HRPs) are transformed and the labour process is reconstructed in digital transformation.

We adopt a case study of a rural movie projection company. The company's HRPs reconstructed the labour process of movie projection, and they have been promoted as national standards. Data were collected from in-depth interviews, files and observations.

Rural movie projection companies combine high-performance and paternalistic HRPs in the media industry's digital transformation. HRPs and digital technology jointly reconstruct the labour process. First, the HRPs direct labour process practices towards standardisation. Second, the digital supervision platform guides the control style from simple to technical, placing projectionists under pressure while increasing management efficiency. Third, rural movies made using digital technology have disenchanted rural residents. Accordingly, the conventional relationships between the “country and its citizens,” “individuals themselves,” and “models and individuals” have been removed, and a new relationship between “individuals themselves” is formed thanks to the novel HRPs.

This research plays a crucial role in exposing researchers to the labour process of rural movie projection, which is significant in China but often ignored by Western academia and advances the Chinese contextualisation of research on labour relations.

This paper offers a new perspective on the potential motivation for the adoption of employee ownership based on market power. Employee ownership may be linked to market power, either through contributing to firm growth that leads to market power or through industry leaders adopting employee ownership as part of rent sharing or a broader consolidation of market position. Both employee stock ownership plan (ESOP) coverage and product market concentration (PMC) have been increasing in the past two decades, providing a good opportunity to see if and how these are related.

The authors predict ESOP adoption and termination using multilevel regressions based on 2002–2012 firm- and industry-level data from the Census Bureau, Compustat and Form 5500 pension datasets.

The authors find that the top four firms in concentrated industries are more likely to adopt Employee Stock Ownership Plans (ESOPs), while having an ESOP does not predict entering the top four, apart from firm-level predictors. Tests indicate the first result does not reflect simple rent sharing with employees but instead appears to reflect an effort by firms to consolidate market power through the attraction and retention (or “locking in”) of industry talent. Other positive predictors of ESOPs include company size, being in a high-wage industry and having a defined benefit (DB) pension.

To better distinguish among hypotheses, it would be helpful to have firm-level data on managerial attitudes, strategies, networks and monopsony measures. Therefore, future research using such data would be highly useful and encouraged.

The paper includes implications for the potential usefulness of ESOPs in attracting and retaining talent and for the design of nuanced policy to encourage more broadly based sharing of economic rewards.

While prior research focuses on firm-level predictors of employee ownership, this study uses market concentration and other industry-level variables to predict the use of ESOPs. This study makes a unique contribution, broadening the current thinking on firm motives and environmental conditions predictive of firm ESOP adoption.

Health and safety is an important issue in workplaces, and despite safety procedures becoming more strict, serious accidents are still happening within the UK construction sector. This demonstrates poor performance in the implementation of safety procedures on construction sites. One of the key challenges is the unwillingness of the site workforce, especially the subcontracted operatives, to adhere to safety provisions on construction sites. As such, this study investigates the strategies for enhancing safe behaviour amongst subcontracted operatives in the UK construction industry.

The study used exploratory sequential mixed method research, involving interviews and questionnaires as means of data collection, and thematic analysis, reliability analysis and exploratory factor analysis as methods of data analysis.

The study suggests that various carrot and stick measures are expected to be put in place as part of the strategies for enhancing safe behaviour amongst subcontracted operatives. These include adequate enforcement of safety practices by the management, operative engagement and motivation, commendation and rewards, site safety targets, leadership style and motivation.

Application of the suggested measures could enhance safety on construction sites, as it provides practical measures and solutions for inculcating safety behaviours amongst the site operatives who are most likely to be the victims of site accidents.

This article examines the direct effect of total quality management (TQM) practices on organizational performance (OP) and innovation (INN), as well as their indirect effect through organizational learning (OL) as a mediating variable. In addition, this survey examines company size as a contextual variable in the relationship between TQM and outcome variables.

A conceptual framework is proposed to test causal links between TQM, OP, INN and OL. To empirically test this framework, 110 questionnaires were collected from large Tunisian quality-certified industries, and 167 questionnaires were collected from small and medium-sized industries (SMIs) in order to examine the effect of company size. In this order, a multigroup analysis (MGA) is performed.

Using the structural equation modeling technique, seven hypotheses are investigated. The results reveal that TQM has a direct and significant positive effect on OP and INN. Data analysis shows that there is a significant positive effect between TQM and OL, while OL positively influences OP and INN. Furthermore, the results illustrate a mediating effect of OL between TQM and OP and INN. The results reveal that large industries and SMIs show significant differences in the relationship, including the conceptual model.

The conceptual framework can be used by practitioners for effective implementation of TQM practices to simultaneously improve operational performance, quality performance and INN. This study also focuses on the role of OL in large-scale industries.

While the relationships between TQM, INN and OP have been examined separately in previous studies, this study examines the relationship between these variables in a unique model in Tunisian industries, including OL as a mediating variable. In addition, it is one of the few studies that considers firm size as a contextual variable and provides an analysis of its effect on the relationships between these variables. This study presents new data and empirical insights into the relationship between these variables.

Concrete workers perform physically demanding work in awkward postures, exposing their backs to musculoskeletal disorders. Back-support exoskeletons are promising ergonomic interventions designed to reduce the risks of back disorders. However, the suitability of exoskeletons for enhancing performance of concrete workers has not been largely explored. This study aims to assess a passive back-support exoskeleton for concrete work in terms of the impact on the body, usability and benefits of the exoskeleton, and potential design modifications.

Concrete workers performed work with a passive back-support exoskeleton. Subjective and qualitative measures were employed to capture their perception of the exoskeleton, at the middle and end of the work, in terms of discomfort to their body parts, ease of use, comfort, performance and safety of the exoskeleton, and their experience using the exoskeleton. These were analyzed using descriptive statistics and thematic analysis.

The exoskeleton reduced stress on the lower back but caused discomfort to other body parts. Significant correlations were observed between perceived discomfort and usability measures. Design modifications are needed to improve the compatibility of the exoskeleton with the existing safety gears, reduce discomfort at chest and thigh, and improve ease of use of the exoskeleton.

The study was conducted with eight concrete workers who used the exoskeleton for four hours.

This study contributes to existing knowledge on human-wearable robot interaction and provides suggestions for adapting exoskeleton designs for construction work.

This research aimed to find out both direct and mediating relationships between the fear of COVID-19 (FC) and the usage of digital financial services (UDFS) via mediator financial anxiety (FA). It also attempted to ascertain the moderated effect of education of small and medium-sized enterprise (SME) owners (ESO), i.e. business degree holders (BDH) vs nonbusiness degree holders (NBDH), in the relationship between FC and the UDFS.

This research employed a simple random sampling technique. In total, 387 complete responses were collected from Pakistani SMEs. The complete analysis was performed using Statistical Package for the Social Sciences (SPSS) 23, AMOS 24, Process Marco 4.1, and Interaction 1.7.

According to the findings, FC leads to UDFS and FA mediates this relationship. Additionally, the findings show that the ESO between FC and UDFS was moderated. However, conditional analysis shows that BDH-SME owners strengthened the moderated relationship between FC and UDFS compared to NBDH-SME owners, who did not show any relationship.

Policymakers might use the study's findings to promote business education, which has been recognized as essential for making sound financial decisions. Finally, because the study is cross-sectional, the authors are unable to draw definitive generalizations.

The key novelty of this research work lies in the inclusion of FA as a mediator and the education of SME owners as a moderator in understanding the relationship between FC and the UDFS. This study illuminated the positive aspects of the COVID-19 epidemic based on the theory of emotional finance, risk avoidance theory and theories of emotion.

The purpose of this paper is to analyse innovation policies in India from 1958 to 2020. A policy tools framework was developed to compare the innovation policies in India. India developed and implemented four innovation policies from 1958 to 2013. The recent policy change was brought in the year 2020 with releasing the draft of the Science, Technology and Innovation Policy (STIP 2020). The authors analysed the recent draft of STIP 2020 with the earlier four innovation policies.

Innovation policies implemented from 1958 to 2013 in India were studied and analysed in the “text as a data approach” and a comparative policy analysis tool was designed for this purpose. The recent draft of STIP 2020 was evaluated and the provisions of the fifth draft of STIP 2020 were compared with the previous four innovation policies' design and formulation. The CPA tool design consists of five broad themes Awareness and capacity building; Finance and infrastructure; Resource management and governance; Outreach and networking; and Policy implementation and evaluation.

Draft STIP 2020 has many features similar to earlier policies. However, policy has focused on bringing in more clarity about national challenges, goals and objectives, yet it needs better implementation to achieve stated outcomes more effectively and efficiently. New initiatives include strengthening the innovation system with open science, improving STI education, expanding the financial landscape, establishing national STI observatory acting as a central repository of all data related to the STI ecosystem and accountable research ecosystem, promoting translational and foundational research of global standards, promoting entrepreneurship, self-reliance, mainstream science communication and public engagement and decentralised institutional mechanisms. Thus, the STIP 2020 is ambitious in its approach to promoting STI in India and needs a supportive mechanism to achieve the stated objectives.

Current comparative policy analysis focused only on identifying similarities and differences among innovation policies implemented in India from 1958 to 2020 and its evolutionary changes in policy and its instruments choice. The recent draft STIP 2020 is not approved and has no update regarding its approval and implementation by the government. The revised and yet to implement STIP 2020 may have variances in the policy instruments. The earlier policies are so broad and without specific problem statements. They were released as statements and resolutions which makes it is challenging to understand the impact of each policy. Similar policy tools in STI 2013 and STIP 2020 were only considered to observe the policy instrument choice. The achievements of the innovation policies implemented before STIP 2020 are not included. Evolutionary changes in the problem statements and policy tools prescribed in innovation policies are studied.

Department of Science and Technology, Government of India, released a draft of STIP in 2020. The draft of STIP was evaluated with previous Innovation Policies. To the authors’ understanding, this is the first attempt to evaluate the STIPs of India using the “text as a data” approach. The tool can be validated by using it for CPA of innovation policies of other emerging, developed and least developed economies to understand cross-country variations in policy instrument choice by policymakers.

This paper aims to examine and compare the associations between financial capability and financial anxiety (FA) before and during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, financial capability is measured by three indicators: financial knowledge, financial behavior and financial confidence. This study also examines and compares the association among different income groups before and during the pandemic.

Data are from 2018 to 2021 National Financial Capability Study (NFCS). Structural equation modeling (SEM) is employed to examine the direct and indirect associations between financial capability factors and FA. Furthermore, this paper also conducts multi-group SEM for three income groups to examine the heterogeneous effects of household income.

Both before and during the pandemic, financial knowledge is directly positively and financial behavior is directly negatively associated with FA. In addition, both financial knowledge and financial behavior are positively associated with financial confidence, which in turn is negatively associated with FA. However, when taking the indirect effects into consideration, the total effects of financial capability factors on FA are all negative. Furthermore, the pandemic has intensified the negative association between financial behavior and FA rather than financial knowledge or financial confidence. Multi-group SEM shows that the positive direct effects of financial knowledge are only significant in the low-income group, while the negative direct effects of financial behavior are only significant in the low- and middle-income groups before the pandemic. However, direct effects of financial knowledge and financial behavior are significant in all income groups during the pandemic.

First, this study specifies a construct, financial confidence, to proxy perceived financial capability. Second, it examines the mediating role of financial confidence in the association between the other two financial capability factors (financial knowledge and financial behaviors) and FA. Third, it also compares the associations between financial capability factors and FA before and during the COVID-19 pandemic.