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The textile sector struggles with cotton stickiness from honeydew contamination. It hurts agriculture and marketability. This study aims to examine how bacterial enzymes could reduce honeydew-contaminated cotton adherence in textile businesses sustainably.

Enzyme was extracted from bacteria isolated from the fermented bamboo shoots “Lung siej”. The enzyme was tested for α-glucosidase using p-nitrophenyl-α-D-glucopyranoside as a substrate. Design of experiments determined enzyme activity temperature and reaction time. Laboratory-prepared artificial honeydew was added to ginning mill cotton to show honeydew contamination. After enzyme treatment, sticky cotton was tested for microscopic examination, ultraviolet (UV), Benedict’s, Elsner colorimetric, high volume instrument (HVI) and viscosity tests.

The bacterial isolate is characterized as Lysinibacillus sp. as confirmed by 16S rRNA gene sequencing. The enzyme extracted was identified as α-glucosidase. The ideal temperature and reaction time for enzymatic activity were 32 °C and 35 min, respectively, using central composite design. The microscopic examination, UV test, Benedict’s test, Elsner colorimetric test, HVI test and viscosity test showed that bacterial enzyme treatment reduced cotton fiber adherence.

Although few patents have examined the effect of yeast enzymes, to the best of the authors’ knowledge, a bacterial enzyme is investigated for the first time to reduce the adhesion of honeydew-contaminated cotton.

The purpose of this paper is to assist ocean container carriers in their service quality improvement strategies to ensure breakthrough performance in India.

A total of seven container carriers have been involved in this study. To explore the list of service criteria, reviews of transportation literature, customer satisfaction survey questionnaires of container carriers, SERVQUAL battery, telephonic interviews and focus groups were conducted. For data collection, a shipper satisfaction questionnaire was administered. After data collection, a mean score analysis using SPSS 15 was taken up to assess the present service performance levels of the select container carriers. Then a performance gap analysis was carried out using the gap analysis formula found in the benchmarking literature.

Out of the 48 service criteria which decide the service quality of ocean container carriers, Maersk is the top performer in respect of 23 criteria, both Hanjin and MSC are top in eight criteria each, Evergreen is top in five criteria, APL is top in four criteria and CMA CGM is top in two criteria. Hapag has not scored top in any of the criteria. The gap analysis shows that APL needs to improve 44 areas in which it has shown negative gaps, CMA CGM needs to improve 47 criteria, Evergreen 45 criteria, Hanjin 47 criteria, Hapag 48 criteria, Maersk 40 criteria and MSC 43 criteria to become excellent.

This paper has enabled container carriers to understand the list of criteria that decide their service quality in the Indian container carrier industry. It has also informed them of their present service performance levels, and their areas of strengths and weakness. This will help them in efficient resource allocation. Understanding the areas and sizes of negative gaps, they can take appropriate steps to close them and become excellent.

This is the first service quality improvement study undertaken in the Indian container carrier industry and it has opened up enormous scope for future research.

The concept of sustainable manufacturing has been adopted by manufacturing organizations to develop eco-friendlier products and processes. In recent times, industries are progressing toward Industry 4.0 (I4.0). Guided with smart intelligent devices, I4.0 can possibly decrease excess production, material movement and consumption of energy. If so, it is hypothesized that there is a good synergy between I4.0 and sustainability, which warrants an integrated approach for implementation. This amalgamation is termed as “Sustainable industry 4.0.” Hence, this paper aims to systematically identify and analyze the drivers for this integration.

This paper presents the analysis of 20 drivers identified from literature review for simultaneous deployment of I4.0 and sustainable manufacturing. Interpretive structural modeling (ISM) is used to derive the structural model for analyzing the causal association between drivers. Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis is being performed to group the drivers.

The results showed that the dominant drivers derived are societal pressure and public awareness (D18), government policies on support I4.0 (D12), top management involvement and support (D15) and government promotions and regulations (D16). Also, the MICMAC analysis revealed many driving, dependent, linkage and autonomous drivers.

The opinion from experts with combined expertise on I4.0 and sustainability was obtained. The respondent size could be increased in future studies.

The study has been done based on inputs from industry practitioners. Managerial and practical implications are presented. ISM shows that the drivers for deploying sustainable I4.0 are highly inter-related. It also reveals the pre-requisites for each level of the drivers.

The idea of analyzing the drivers for sustainable I4.0 is the original contribution of the authors.

The purpose of this study is to discuss the construction of a structural measurement model utilizing structural equation modelling (SEM) to confirm the link between Industry 4.0 technologies, sustainable manufacturing practices and organizational sustainable performance. Relationship among the paradigm has yet to be fully investigated, necessitating a more conceptual and empirical examination on what impact they have on organizational sustainable performance when used together.

Industry 4.0 and sustainable production practices aim to progress a company's business competitiveness, forming sustainable development that benefits manufacturing companies. The aim of the study is to analyze the relationship between constructs that lead to operational excellence in firms that use Industry 4.0 technologies and sustainable manufacturing techniques. Experts from diverse automotive industries, who are applying both Industry 4.0 and sustainable manufacturing practices, provided data for the study.

Statistical estimations (hypotheses) are created to substantiate the measurement model that has been developed. The structural model was analysed, and the findings were discussed. The statistical estimate is either approved or rejected based on the findings. According to the conclusions of this study, strong link exists between Industry 4.0 technologies and sustainable manufacturing practices that affect organizational sustainable performance environmentally, economically and socially.

The research was conducted in the framework of automobile component manufacturing companies in India. The outcomes of the study are practically feasible.

The authors' novel contribution is the construction of a structural model with Industry 4.0 technologies and sustainable manufacturing practices into account.

The purpose of this paper is to identify the critical factors that impact knowledge sharing (KS) and their importance in technology-intensive service organizations in the United Arab Emirates (UAE).

An extensive literature review was conducted to identify the critical factors for KS in technology-intensive organizations. Then, an analytical hierarchical process (AHP) was applied to prioritize the primary criteria and sub-criteria. This study consists of nine primary criteria and 34 sub-criteria that are relevant to KS in technology-intensive organizations.

The results show that organizational leadership (OL) is the most important factor that impacts KS in technology-intensive organizations, which is followed by organizational culture (OC), organizational strategy (OSY), corporate performance (CP), organizational process (OP), employee engagement (EE) and organizational structure (OST). According to the results, the least impactful factor is human resource management (HRM).

Because the results in this study were only obtained from service organizations, future studies can include manufacturing organizations from different countries and additional success factors. Future studies could also use structural equational modelling methodology for better understanding the relations among these critical factors for KS.

This paper is one of the first in the UAE to examine the broad range of critical success factors for KS in technology-intensive organizations.

The purpose of this paper is to develop a combined intuitionistic fuzzy analytic hierarchy process (IFAHP) and fuzzy multi-objective optimization approach to select suppliers and allocate the orders to them in the bottled water production context.

First, the primary weights of criteria associated with the supplier selection problem are calculated using the IFAHP technique. Then a fuzzy multi-objective optimization model is developed to allocate the appropriate amount of orders to each supplier.

The proposed methodology has been successfully implemented in the case of an Iranian food company in its bottled water factory. Results demonstrate our model is capable of practically handling the uncertainty in DMs’ preference that leads to effective and efficient supplier selection and order allocation decisions.

The authors develop a novel hybrid decision-making tool to tackle the uncertainty in decision-makers’ opinions with a demonstrated applicability and some promising outcomes in efficiently allocating the order quantity to suppliers in the area of bottled water production.

This study investigates the competencies required for quality management professionals to meet the needs of industry 4.0. The authors use a case study strategy at an electronics manufacturer in southern Malaysia, to adapt their role to be relevant in the industry 4.0 environment. In doing so, this study answers the following four questions: (1) How are the changing technological trends expected to impact the future role of quality in industry 4.0? (2) What are the competencies gap between current and future roles of quality professionals? (3) What are the views and practices related to quality roles? (4) How can the gaps identified be closed to meet the quality challenges of industry 4.0?

The research methods consist of a comprehensive review of literature on the technological trends towards industry 4.0 and the impact on the role of quality and competence that may be required in the future, as well as internal document review on the current roles of quality professionals in an electronics manufacturer in southern Malaysia, to identify the competence gap. Empirical data was collected based on surveys conducted on 64 quality professionals with a response rate of 96.88%. Interviews were conducted on three decision-makers from critical areas in the electronics manufacturer for viewpoints from three different perspectives: finance, operations and talent development.

Quality professionals will require technical competencies to interpret large amounts of data from processes to make strategic decisions, the use of new AR tools and be aware of data security risks. Methodological competencies will be required to use data to identify the source of problems, to access reliable sources of learning and the ability to use new tools for solving complex problems efficiently. Social competencies will be required in communications across multi-sites, suppliers and customers in new collaborative virtual platforms, with the ability to retain tacit and explicit knowledge, in a decentralized environment that will require leadership ability to make decisions. Personal competencies required will be the ability to work in a flexible workplace and time and more frequent work-related changes.

The limitation of the study is based on what the authors currently know of the future, which may not be much for the quality professionals in the electronics manufacturer, who have not been exposed much to the technology yet. The potential for the future landscape to change dramatically with rapid technology changes may also result in a different set of skills for future quality professionals. The quality professionals who were involved in this study were the quality executives, engineers and managers, irrespective of their gender, age, length of service and experience in the field of quality. Therefore, these variables were not taken into consideration for this research.

This research helped to identify the role of quality in industry 4.0 and key competencies that the quality professionals in the electronics manufacturer will require to adapt to their role in industry 4.0. However, based on the questionnaire and the interview comments of key personnel, it can be concluded that quality professionals lack awareness of their new roles in industry 4.0. This could be due to the fact that the new technology is not implemented by quality professionals but by the innovation team based in Singapore headquarters, as was also advised by the operations head.

The benefit of industry 4.0 technology is clearly shown by Philips's new Dutch factory with robotized technology that was able to produce the same output with one-tenth of the workers of its China factory (Rifkin, 2014, chapter 8). Rojko (2017, p. 80) also shared a similar view that industry 4.0 is expected to reduce production costs by 10–30%, logistics costs by 10–30% and quality management costs by 10–20%. The importance of this research can be seen from the findings of “The Future of Jobs” (2018, p. 22), which suggests that the window of opportunity for organizations to leverage the new technology to re-skill is within the period of 2018–2022, in order to enable employees to reach full potential in the high value-added tasks. The electronics manufacturer may need to keep to this timeline to maintain its competitive advantage.

The purpose of this paper was to determine the competence gap of current quality professionals in the electronics manufacturer with the competencies required in industry 4.0. This led to the third objective, to identify the views of stakeholders based on the propositions derived from the gaps identified, to triangulate the findings, to conclude the competency gaps of the current quality professionals in the electronics manufacturer. Finally, the objective of this paper was to make a recommendation on how to prepare the quality professionals in the electronics manufacturer for their role in industry 4.0. The research identified the technical, methodological, social and personal competencies gap of the quality professionals in the electronics manufacturer by looking at the changes expected in industry 4.0 from four aspects, factory (people and process), business, product and customers.

Carbon dioxide (CO₂) has attracted special scientific interest over the last years mainly because of its relation to climate change and indoor air quality. Except for this, CO₂ can be used as an indicator of food freshness, patients’ clinical state and fire detection. Therefore, the accurate monitoring and controlling of CO₂ levels are imperative. The development of highly sensitive, selective and reliable sensors that can efficiently distinguish CO₂ in various conditions of temperature, humidity and other gases’ interference is the subject of intensive research with chemi-resistive zinc oxide (ZnO)-based sensors holding a privileged position. Several ZnO nanostructures have been used in sensing applications because of their versatile features. However, the deficient selectivity and long-term stability remain major concerns, especially when operating at room temperature. This study aims to encompass an extensive study of CO₂ chemi-resistive sensors based on ZnO, introducing the most significant advances of recent years and the best strategies for enhancing ZnO sensing properties.

An overview of the different ZnO nanostructures used for CO₂ sensing and their synthesis methods is presented, focusing on the parameters that highly affect the sensing mechanism and, thus, the performance of CO₂ sensors.

The selectivity and sensitivity of ZnO sensors can be enhanced by adjusting various parameters during their synthesis and by doping or treating ZnO with suitable materials.

This paper summarises the advances in the rapidly evolving field of CO₂ sensing by ZnO sensors and provides research directions for optimised sensors in the future.

Ground-handling services are important for effective aircraft operations in the air transportation system. Airlines often outsource these services to ground-handling agents through business-to-business (B2B) marketing decisions. Therefore, this paper aims to address the problem of ground-handling agent selection in the airline industry.

A real-world case study was carried out to demonstrate the applicability of the integrated best worst method and fuzzy multi-attribute ideal real comparative analysis (F-MAIRCA) approach to solve ground-handling agent selection problems under uncertainty and imprecision. A two-stage sensitivity analysis was also conducted to ensure the credibility and validity of the application.

In the weighting stage, “Quality” was determined as the most important criterion in terms of supplier performance. With regard to the performance of the ground-handling agents, A2 was found as the optimal supplier in terms of both credibility and validity.

This study enumerated several criteria that ground-handling agents must meet in order to effectively supply services for the airlines. In addition, this study provides a novel framework from which managers can gain additional benefits from their businesses. Finally, it is concluded that this approach will help airline managers quantitatively in choosing the most appropriate ground-handling agent.

The contributions of this study to the existing literature are twofold. First, we propose a novel multiple attribute decision-making approach to address the problem of supplier selection for airlines under uncertainty and imprecision. Second, the selection of ground-handling agents from the B2B perspective is addressed for the first time in literature.

The purpose of this paper is to assist ocean container carriers in devising effective marketing strategies to attract and retain Indian shippers by letting them understand the list of criteria Indian shippers use in the carrier selection decisions and also the amount of importance they assign to each criterion during such decisions.

To explore the criteria, review of transportation literature, customer satisfaction survey questionnaires of container carriers and SERVQUAL battery was undertaken. Telephonic interviews and focus group interview were also conducted for this purpose. In order to evaluate the criteria, analytic hierarchy process (AHP) was used. In the AHP, the pairwise comparisons were carried out by another focus group with the help of a questionnaire. For AHP calculations, the Expert Choice 11.5 software was used.

Indian shippers use 45 criteria in the container carrier selection process and out of these, low freight is ranked as the most important criterion and pricing flexibility is the second most important one. In the list, these are the only two criteria found to be with more than 10 per cent importance. The least importance is given to five criteria: gifts and compliments, online booking, physical facilities, professional appearance and trade announcements which are weighed with 0.10 per cent importance. The paper has explored and added several new carrier selection criteria to the existing transportation literature.

The paper enables container carriers to understand various criteria Indian shippers use in the container carrier selection decisions along with their relative importance in such decisions. It also helps container carriers to decide which criterion is to be given priority and which not while devising their marketing strategies for Indian market. This decision is vital to maximize shippers' satisfaction.

The paper is the first ever carrier selection study undertaken in India and is expected to open up enormous scope for future research.