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This study aims to explore whether religiosity influences ecologically conscious consumption behaviour (ECCB) among Muslim consumers in India.

A structured questionnaire was developed and administered to a sample of 191 young male Muslim respondents. One-way analysis of variance (ANOVA) and post hoc tests were used to test the proposed hypotheses.

The results indicated a significant positive correlation between religiosity and ECCB. Pro-religious and intrinsically religious consumers reported higher importance to ECCB than non-religious and extrinsically religious consumers. It is, therefore, concluded that religiosity plays an important role in determining ECCB among Muslim consumers in India.

The study sample comprised Indian university students as respondents, whose consumption behaviours may be constrained by limited independent income. Further, only male students have been included because of methodological considerations.

This study suggests that green marketers can use religiosity as a possible segmentation variable to effectively position their products. Religious messages or symbols can be invoked in advertising and other communication campaigns by marketers to gain acceptance for green products and consumption behaviours among consumers.

Few studies have examined the role of religiosity and its impact on consumer behaviour. The present study sought to address this gap in literature and offers preliminary insights about how marketers can effectively use religious symbols for marketing green products to consumers. The study is an initial attempt to provide elementary understanding about the consumption behaviour of Indian Muslims who have been insufficiently investigated by marketing and consumer researchers.

This paper aims to examine the relationship between religiosity and consumer values, religiosity and consumer decision making styles (CDMS), and the mediating role of consumer values in the relationship between religiosity and CDMS among young Indian Muslim consumers.

Data were collected from 487 young Muslim consumers across three states of India through a survey using a structured questionnaire. The data were analysed by using the techniques of exploratory factor analysis and structural equation modelling.

Religiosity negatively influenced novelty-fashion consciousness and brand consciousness decision making styles. Religiosity was found to have a significant positive relationship with the “interests of collectivities (IOC)” values and a significant negative relationship with the “interests of individual (IOI)” values. The results indicate that both “IOI” values and “IOC” values mediated the relationship between religiosity and novelty-fashion consciousness and brand consciousness.

The results of the study provide vital insights regarding the relationship between religiosity, values and CDMS. It provides insights about the consumption behaviour of young Muslim consumers of India who have not been studied as a consumer group.

While prior research has theorized the relevance of adaptive capability (AC) to firm performance, skepticism remains regarding boundary conditions of the AC – performance relationship. This study aims to attempt to understand the intervening effect of entrepreneurial orientation (EO) impacting strategic business unit (SBU) performance. The authors further explore the moderating influence of the success trap on the AC – EO relationship.

Data from a sample of 293 SBU heads in an Indian information technology (IT) firm is analyzed using ordinary least squares regression. The authors performed a mediation and moderation test on the data using the Hayes PROCESS SPSS macro. Specifically, this study used Model 4 and Model 7 of the PROCESS macro to test the mediation and moderated–mediation models.

The results reveal that EO positively mediates the relationship between AC and SBU performance and the success trap negatively moderates the AC – EO relationship.

The paper refers to empirical research of strategic business units of an IT services firm in India. Further research in other cultures and industry settings is required to generalize the findings.

The findings suggest that to improve performance, managers in entrepreneurial software firms should develop an adaptive and innovative culture to avoid success traps.

The study establishes the crucial role of a firm’s AC as the driver of improved performance in a turbulent environment. This study complements the literature concerning the AC-performance relationship with the introduction of EO as mediating variable.

The aim of this work was to study the effect of the different levels of salt and the temperature on some physico-chemical and colour change properties of microwave-dried beef round (M. semitendinosus).

The samples were pretreated with different temperatures (0°C, 40°C and 50°C) and salting (0, 1.5, 2.5%). Later these samples have been dried by the microwave energy at 540 W for seven minutes. Some physical properties (water activity, moisture content, change in diameter, change in thickness, change in shrinkage ratio) and texture, colour and microscopic surface structure analysis were conducted in dried beef round samples.

As a result, the colour and moisture were the most affected factors. Also, physical and microstructural characteristics were affected by salting and pre-drying. In addition, while the textural structure did not show a significant difference, meat weight and water activity varied.

Meat obtained from a local butcher in Konya was used as the study material. In addition, only a special part of the meat (M. semitendinosus) was used in the study. In the drying process, the parameters were determined as 540 W and 7 min. These are the limitations of the research.

All changes that can occur in the physical properties of the meat after the drying process were examined. The structure of beef round samples formed by microwave drying was shown by using electron microscope. The effects of pretreatment such as salting and pre-drying have been examined on microwave drying.

Government is the biggest spender on cloud computing technology but a very limited study and data sets are available to assess the cloud adoption trends in government organizations in India. As India is ushering towards “Digital India” it becomes essential for the government to embrace the cloud to enhance governance and meet the citizen expectations. This paper aims to discuss the evolution of cloud computing (Meghraj) in government organizations by examining the various information technology (IT) and cloud policies, thereby focusing on the policy gaps. The second part of this study assesses the cloud adoption trend by analyzing adopted cloud services, deployments models, leading sectors in cloud adoption and cloud approach. Eventually, in consultation with experts, a conceptual framework for cloud adoption in the government organizations of India is developed for wider cloud adoption.

The authors reviewed various IT/cloud policies and related literature to find the policy gaps for slow cloud adoption in government organizations. Authors have researched to collect the data from the various government procurement portals and analysed the tender and contracts of 500 organizations for cloud requirements to infer the cloud adoption trends. Based on the review of policy gaps, adoption trends and by consulting the experts a conceptual cloud adoption framework has been developed for wider cloud adoption in government organizations.

This study can be a pathfinder where the most innovative findings are about the cloud adoption trends in the government organizations in the time frame from 2013 till 2020. Several key findings are – the public cloud are the most widely adopted, infrastructure as a service model is the most used services, the majority of the applications migrating to the cloud are legacy applications, the leading sector in cloud adoption are – IT, transport and education. It is observed that the pandemic Covid-19 has acted as a catalyst and accelerated cloud adoption in government organizations. Eventually, a conceptual cloud adoption framework has been suggested addressing the policy gaps, deficiencies, overcoming the gaps and their related outcomes for the wider cloud adoption in the government organizations.

The findings of this work highlight the cloud adoption trends in government organizations which can prove vital to the policymakers. This work will assist policymakers, government organizations, researchers, IT professionals and others interested in analyzing the state of cloud adoption. The conceptual cloud adoption framework developed endeavours to uncover the policy gaps, suggest the gap resolution mechanism and outcomes which may assist the organization for wider cloud adoption. This research work effectively connects the policies to practice by stimulating the interest in understanding the policies, strategies and thereby creating the enabling environment for cloud adoption. This study provides feedback on cloud adoption trends which can assist in policy refinement and further strengthen policy/strategies.

As of date, there is limited data available for cloud adoption in government organizations. This work uniquely presents the cloud projections which helps to gain insights on cloud adoption trends in government organizations. This study is the first of its kind, focusing on cloud adoption in the unexplored government sector. This study provides a comprehensive summary of adoption statistics, policy analysis and practice in government organizations of India.

The purpose of the paper is to develop a model of distribution of human and machine labor at intellectual production in Industry 4.0.

The basis of the methodology of the research is regression analysis. The analyzed variables are independent variables that characterize the level of development of human and machine labor in the economy of a country; dependent variables that reflect the effectiveness of the production, marketing and innovative business processes in the economy of country according to “The Global Competitiveness Report” (World Economic Forum); and dependent variables, which show the share of the sphere (agriculture, mining industry, processing industry and service sphere) in the structure of GDP of a country according to the statistics of the World Bank. For determining the change of regression dependencies in dynamics in the interests of reduction of the probability of statistical error, the research is conducted for 2010 and 2018 with application of trend analysis.

Based on the full selection of modern countries that conduct digital modernization, the authors determine statistical dependencies of effectiveness of business processes and development of the spheres of economy on the intensity of application of machine and human labor. This allowed determining significant differences in automatization of business processes: perspectives of application of machine labor are the widest in production and the narrowest in marketing, differentiated logic of organization of intellectual production in different spheres of economy and the specifics of automatization of business processes and spheres of economy in countries of different categories, one of which has to be taken into account during organization of intellectual production in Industry 4.0.

The developed model of optimal distribution of human and machine labor at intellectual production in Industry 4.0 will allow reducing disproportions in effectiveness of different business processes, development of different spheres of economy and growth rate of developed and developing countries. This explains its contribution into provision of well-balanced development of the modern global economic system.

Employer branding is a topic that has gained relevance in the organisational world. Currently, organisations need to differentiate themselves, and one of their biggest challenges is the search and retention of talent. One of the factors that have been associated with attracting talent is employer branding. However, studies that explore the relationship between this, corporate reputation and the intention to apply for a job are scarce. As such, this study aims to analyse the mediating role of corporate reputation in the relationship between employer branding and the intention to apply for a job offer.

To achieve the goals, data were collected from 225 Portuguese adults. The response rate was 75%. Based on a survey, respondents reported their perceptions of employer branding of a specific organisation, and they rated the organisation’s reputation and their intention to apply to that organisation.

The results showed that employer branding (interest value; social value; economic value; development value; application value) positively influenced an organisation’s corporate reputation, which, in turn, increased an individual’s intention to apply for an employment offer in that organisation.

The present study is a contribution to the literature on employer branding, as it reinforced the importance that employer branding and corporate reputation play in the intention of applying for a job offer.

Continuous understanding of the best practices associated with new product development is a constant research opportunity to advance knowledge in the field, as far as changes in the business environment and the increasing turbulence level in different market segments create and reposition the importance of practices over time.

Based on a systematic review, the study aimed to analyze the 100 most relevant articles published in international journals on new product development (NDP), identifying new patterns on the best practices for new product development and the types of relationship involved in NPD.

Among the several practices observed in the literature, the analysis point to a larger group of studies that converge on the identification of a positive and significant relationship in integration – simultaneously – between supplier, company, customers and strategic alliances and the performance of NPD.

These results support integration as a cross-cutting and structural best practice for NPD, as long as it is constituted as a capacity, mainly applied in highly turbulent environments. This approach supported the proposition of a new framework.

Organizations will be able to implement the proposed framework to NPD strategy in order to prioritize resources in best practices, aiming to increase the performance of new product development.

The adoption of integration and co-creation practices for the development of new products expands the possibilities of economic and social development, based on the involvement of the actors in this network.

This model had not yet been proposed in the literature, filling a gap in the agenda for future studies.

The usage of additive manufacturing (AM) technology in industries has reached up to 50 per cent as prototype or end-product. However, for AM products to be directly used as final products, AM product should be produced through advanced quality control process, which has a capability to be able to prove and reach their desire repeatability, reproducibility, reliability and preciseness. Therefore, there is a need to review quality-related research in terms of AM technology and guide AM industry in the future direction of AM development.

This paper overviews research progress regarding the QC in AM technology. The focus of the study is on manufacturing quality issues and needs that are to be developed and optimized, and further suggests ideas and directions toward the quality improvement for future AM technology. This paper is organized as follows. Section 2 starts by conducting a comprehensive review of the literature studies on progress of quality control, issues and challenges regarding quality improvement in seven different AM techniques. Next, Section 3 provides classification of the research findings, and lastly, Section 4 discusses the challenges and future trends.

This paper presents a review on quality control in seven different techniques in AM technology and provides detailed discussions in each quality process stage. Most of the AM techniques have a trend using in-situ sensors and cameras to acquire process data for real-time monitoring and quality analysis. Procedures such as extrusion-based processes (EBP) have further advanced in data analytics and predictive algorithms-based research regarding mechanical properties and optimal printing parameters. Moreover, compared to others, the material jetting progresses technique has advanced in a system integrated with closed-feedback loop, machine vision and image processing to minimize quality issues during printing process.

This paper is limited to reviewing of only seven techniques of AM technology, which includes photopolymer vat processes, material jetting processes, binder jetting processes, extrusion-based processes, powder bed fusion processes, directed energy deposition processes and sheet lamination processes. This paper would impact on the improvement of quality control in AM industries such as industrial, automotive, medical, aerospace and military production.

Additive manufacturing technology, in terms of quality control has yet to be reviewed.

The purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes.

A total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes.

The research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process.

The study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works.

The geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries.