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Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model.

A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data.

The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly.

Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking.

This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.

The main objective of this experimental investigation is to assess the effect of thermal and cryogenic treatment on hygrothermally conditioned glass fibre reinforced epoxy matrix composites, and the impact on its mechanical properties with change in percentage of individual constituents of the laminates.

The present investigation is an attempt at evaluating the performance of the laminates subjected to different thermal and cryogenic treatments for varying time with prior hygrothermal treatment. The variability of hygrothermal exposure is in the range of 4‐64 h. Glass fibre reinforced plastics laminates with different weight fractions 0.50‐0.60 of fibre reenforcements were used. The ILSS, which is a matrix dominated was studied by three‐point bend test using INSTRON 1195 material testing machine.

The post‐hygrothermal treatments (both thermal and cryogenic exposures) resulted in an increase in the rate of desorption of moisture. It is noted that the hygrothermal treatment prior to the exposure to thermal or cryogenic conditioning is the major attribute to the variations in the ILSS values. The extent of demoisturisation of the hygrothermally conditioned composites due to a thermal or a cryogenic exposure is observed to be inversely related to its ILSS, independent of the fibre‐weight fractions. Also the ILSS is inversely related to the fibre‐weight fraction irrespective of the post‐hydrothermal treatment.

The reported data are based on experimental investigations.

The purpose of the study is to examine the value-based performance of firms in construction sector in India using Tobin's Q and Market Capitalization (MCAP) and then determine their significant financial drivers.

The study is based on data from 87 firms engaged in infrastructure, real estate, industrial construction and allied areas in India over a study period of 10 years. Three distinct forms of panel regression models have been developed using Tobin's Q and MCAP as dependent variables. The models developed are using Baltagi's (1981) Error Component 2SLS, Varadharajan-Krishnakumar's (1987) Generalized 2SLS and Arellano – Bower/Blundell – Bond's (1991) dynamic panel.

The study found that MCAP is a better suited value-based performance measure for construction sector firms in India. The study further reports that the age of the firm, profit after tax, investment in research and development, dividends, leverage and net fixed asset are significant positive drivers, whereas cash flow is a significant negative driver.

The study is limited to a geographic location; therefore, the findings of this study cannot be generalized.

As MCAP is a better suited value-based performance measure of a firm in the construction sector, managers should focus on improving profitability, higher research and development activities, higher dividends and higher expenditures on net fixed assets for improvement.

This is an original attempt to examine the value-based performance of firms in the construction sector in India using Tobin's Q and MCAP.

Unsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company.

Six Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin.

The results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement.

This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.

The purpose of this paper is to examine the relationship between total quality management (TQM), market orientation and service quality in the Malaysian service industry.

Data from 150 service firms were collected. Structural equation modeling was employed in this study to examine the associations between TQM, market orientation and service quality.

This study provides empirical evidence and confirms findings obtained from previous studies that TQM has a positive and significant relationship with both market orientation and service quality. Moreover, it was discovered that market orientation is also significantly related to service quality.

This research study implies that if firms are not able to comprehend the importance of TQM dimensions, by which the different dimensions of it can influence a firm's performance, they may not succeed in harvesting the full value of market orientation and service quality. Meanwhile, the findings may guide the service practitioners to understand the importance of TQM in their managerial actions in enhancing market orientation and service quality, which serves as a sound foundation for building a distinguished point of differentiation in their services.

Past researchers have not looked into the tri‐dimensional relationship between TQM, market orientation and service quality and hence research is to be called for in this area. The paper provides practitioners with useful guidelines on the appropriate TQM practices to be implemented so that market orientation and the quality of service can be enhanced, creating superior value to the customers in a unique way, which subsequently improves a firm's competitiveness.

This research aims to examine the challenges of recruiting participatory action research (PAR) in managing innovation projects. An enhanced methodology based on PAR was developed to mitigate the challenges related to recruiting PAR in managing innovation projects. The proposed methodology was evaluated by comparing it to established methodologies/frameworks such as Scrum, Design Thinking (DT) and The Lean Startup (TLS). The evaluation aimed to determine the advantages and limitations of the proposed methodology in managing innovation projects.

The proposed enhanced methodology consists of eight steps, ranging from developing an understanding of the industry and business structure to learning and knowledge management. In addition, the enhanced methodology uses other techniques, such as Force field analysis and 12 boundary questions.

The research findings indicate that using the proposed methodology can improve the formalization of collaboration in PAR, enabling the organization to respond better to market changes. It helps define the project scope more clearly, encouraging innovation, addressing communication barriers and considering different worldviews and practical issues. Based on the findings, the proposed enhanced methodology could complement other methodologies/frameworks such as Scrum, DT and TLS.

The current research adds to the existing literature by identifying the challenges of recruiting PAR in managing innovation projects. A deductive reasoning process was utilized because there is no comprehensive research concerning the challenges of recruiting PAR in managing innovation projects. On the other hand, the PAR 4-phase cycle has been reviewed and enhanced to manage innovation projects.

The proposed methodology was used in a new product development project. The case study was done on one of the payment service provider companies that design, develop and deploy a digital product for marketing, installation, repair and maintenance of electronic funds transfer at point of sale devices.

No research has yet sought to identify the challenges of using PAR in innovation project management (IPM). Identifying the challenges associated with applying PAR in the IPM and providing an enhanced methodology to mitigate the challenges could fill a gap in IPM studies.

The purpose of this paper is to investigate the relationship between total quality management (TQM) practices and customer satisfaction (CS) as perceived by managers' perspectives in Malaysia's service sector.

The data are collected from 140 managers of Malaysia's service firms. The structural analysis is conducted to test the hypotheses in this paper.

Results reveal that leadership, customer focus, information and analysis, and human resource focus are found to have significant and positive association with CS as perceived by Malaysian service sector's managers.

There are a few limitations for this paper. First, the time sequence of the relationships between the variables could not be determined since cross‐sectional data are used. Second, this paper is confined only to service industry. Lastly, the paper is only focused on managers instead of study employees at different hierarchical levels.

This paper serves as a valuable guideline for top management to review their TQM programs and conduct assessments on a regular basis in order to facilitate CS within their organizations.

This paper shows the importance of TQM in contributing to CS within the service context which is not studied in many past researches. This paper only looks at TQM practices from the Malaysian service industries. As Malaysia is a developing country which is moving towards the service sector, this paper will help many organizations that are in other fast growing developing nations which are moving towards the service industry.

The purpose of this study is twofold. The first objective is to identify the factors that affect Gen Z tourists' M-payment behaviour. Next, this study investigates the inter-relationship between Gen Z tourist’s perception of M-payment benefits, adoption behaviour, usage risk and future usage intention.

The sample comprised Malaysian Gen Z individuals (n = 326) who had experience using M-payment methods while travelling outbound. Given the complex nature of the model and the goal to predict and explain relationships within Gen Z's M-payment usage, partial-least square-structural equation modelling was used to assess the study framework and test the proposed relationships.

This study reveals significant influences on Gen Z tourists' behavioural intentions towards M-payment usage. Perceived benefits, performance expectancy, social influence and perceived trust positively impact behavioural intentions, while effort expectancy exhibits no significant effect. Furthermore, perceived trust is strongly influenced by perceived security, which also positively influences behavioural intentions. A mediated relationship is evident as trust mediating the effect of perceived security on behavioural intentions.

This study’s findings contribute to understanding the intricate relationships influencing Gen Z's M-payment behaviour and underscore trust's pivotal role in mediating the security–behavioural intention relationship.

This study is among the first to consider Mental Accounting Theory and the Unified Theory of Acceptance and Use of Technology as crucial underpinning theories in comprehending the intricate relationships that influence Gen Z travellers' perceptions and behaviours concerning M-payment systems.