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This research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy in this mechanism. In addition, it aimed to examine the theoretical connections of the research model with the conservation of resources (COR) and technology acceptance model (TAM) theories in the discussion.

The authors collected data from 300 individuals in an organization operating in the health sector and analyzed the data in the Smart Partial Least Squares (PLS) 3.3.3. This way, the authors determined the relationships between the variables, the path coefficients and the significance levels.

The study has found that strong digital literacy skills are linked to positive emotions and attitudes. Additionally, maintaining a positive mindset can improve one's understanding of ethics. Ethical attitudes and positive emotions can also increase the likelihood of adopting neural implants. Therefore, it is crucial to consider both technical and ethical concerns and emotions when deciding whether to use neural implants.

The research results determined the links between the cognitive, emotional and ethical factors in the cyborgization process of the employees and gave original insights to the managers and employees.

1. Determination of antecedents that affect individuals' acceptance of neural implant use.

2. Application to 300 individuals working in a health organization.

3. Path analysis using the least squares method via Smart PLS 3.3.3

4. Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.

Determination of antecedents that affect individuals' acceptance of neural implant use.

Application to 300 individuals working in a health organization.

Path analysis using the least squares method via Smart PLS 3.3.3

Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.

Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners.

The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process.

The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems.

Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.

Purpose of study: Indian fibre cement industry is at crossroads on account of the dropping margins attributed to the dynamic internal and external challenges faced by it. The ever-changing technology, the increasing availability of substitutes and changing demographic consumption profiles have questioned the survival of this industry. Internal and external factors affecting an organization provide inputs to the strategic decision-making. Diversity of factors and prioritization is a major challenge encountered for developing a strategy for the organization.

Strategic analysis in the paper proposes to rank important key variables through SWOT-AHP methodology affecting a fibre cement company. Computed priorities of SWOT factor could help in formation of management approach to key decisions facing the firm. It is a descriptive research design. The problem itself has multiple SWOT criteria that have been evaluated in three phases with the help of industry experts and AHP criteria.

SWOT-AHP analysis has been a strategic fit for qualitative analysis of factors. The important ranked factors affecting the organization have been found to be brand name, capability of both the management and technical, quality of the product, and the efficient customer service and marketing reach/distribution.

Ranking of key SWOT factors found through AHP methodology will help the firm under study to develop and plan strategic alternatives to counter all challenges faced by them.

The management of the firm under study shall be benefited in fine-tuning the overall strategy of the organization.

This paper proposes a hybrid SWOT-AHP strategic analysis first time in this sector. The affecting factors have been quantified and ranked to identify priority factors for the firm to focus.

I aimed to obtain a deeper insight into the link between supplier involvement in product development (SIPD), supplier relationship resilience and company performance.

To collect data, a survey among 500 Polish manufacturing companies was conducted. I used quantitative methods (structural equation modeling) to test several research hypotheses referring to a single supplier–customer relationship. Thanks to the use of multi-construct measurement of SIPD and supplier relationship resilience, the study provides detailed research results on the topic.

Collaborative practices implemented during SIPD increase procurement flexibility and decrease redundancy in the relationship with the involved supplier. Communication during SIPD increases supplier flexibility and procurement flexibility. Increased supplier flexibility and increased procurement flexibility in the relationship with the involved supplier as well as collaborative practices during SIPD positively impact company performance. I confirmed the indirect effect between communication during SIPD and company performance when the mediators are supplier flexibility and procurement flexibility. Decreased redundancy in relationship with involved supplier does not impact company performance.

Supply chain managers need to rethink SIPD practice to effectively ensure supply chain resilience (SCRES), especially in the face of the contemporary global crisis and black swans affecting the supplier base. My article provides important managerial insights into drivers of SCRES and company performance.

To the best of my knowledge, this research is among the first to conclude that SIPD does not have an unequivocally positive or direct impact on supplier relationship resilience. The research fills the gap by analyzing the impact of SIPD on two main SCRES elements. The study examines supplier relationship resilience, understood as flexibility and redundancy elements, in a single supplier–buyer relationship perspective. Thus, the presented considerations go beyond the traditional understanding of flexibility and redundancy in supplier relationship management, that is through the prism of double or multi sourcing and having back up-suppliers.

This paper examines the factors that influence behavioral intention in the context of medical tourism in Türkiye. With the growing popularity of Türkiye as a destination for medical tourism, it is essential to understand the key determinants influencing individuals’ intention to engage in medical tourism activities.

This study used the Extended Theory of Planned Behavior (E-PBT) variables, which include attitude, subjective norm and perceived behavioral control, to measure their influence on behavioral intention. In addition, a customer experience scale was used to assess the influence of dimensions such as education, entertainment, aesthetics and escapism on behavioral intention. The research instrument was validated by expert review, and data were collected using purposive sampling. A total of 420 surveys were deemed suitable for analysis.

The path analysis revealed that attitudes and perceived behavioral control positively impacted behavioral intention within the domain of medical tourism in Türkiye. Conversely, subjective norms did not have a significant positive effect on behavioral intention. Furthermore, it was observed that the dimensions of entertainment, escape and aesthetics positively affected behavioral intention. However, education and aesthetics did not significantly influence behavioral intentions.

The results of this paper have practical implications for marketers and policymakers in the medical tourism industry in Türkiye. Understanding the factors that drive individuals’ behavioral intentions can assist in developing effective marketing strategies to attract and serve potential medical tourists. Medical tourism providers can enhance their services by optimizing attitudes and perceived behavioral control while emphasizing entertainment and escapism for their clientele.

This research focuses on uncovering factors influencing individuals’ behavioral intentions in medical tourism in Türkiye. Using the E-PBT framework and exploring the dimensions of the customer experience scale, this study aimed to understand the driving forces behind individuals’ decisions to engage in medical tourism.

This study aims to examine the relationship between Islamic work ethics (IWE), job embeddedness and knowledge-sharing behaviors. It also tested the mediating effects of job embeddedness and the moderating effects of organizational identification on this relationship.

A total of 396 respondents from Islamic banks in Indonesia participated in this study. Data analyzes for hypothesis testing were conducted using Hayes’ PROCESS macro-based hierarchical regression.

The findings suggest that subscribing to IWEs positively and significantly impacts job embeddedness and knowledge-sharing behaviors. Moreover, job embeddedness was confirmed as a mediator in the relationship between IWEs and knowledge-sharing behavior. Finally, the effects of IWEs on knowledge-sharing behaviors are stronger when employees attain a high level of organizational identification.

By encouraging the adoption of IWEs, organizations can develop job embeddedness and promote knowledge-sharing in the workplace, especially in an Islamic banking context. Therefore, managers should strengthen the mutual understanding among employees regarding IWE principles. They should be consistently applied and disseminated by Islamic banks’ management in the form of a formal code of ethics that applies to all actions within the organization.

This study was conducted to extend the understanding of IWE and its relationship with workplace outcomes in modern organizations. Drawing on the conservation of resources theory, social identity theory and Islamic theology, new insights are provided by explaining the psychological mechanism underlying the relationship between IWEs and knowledge-sharing behaviors while proposing organizational identification as the boundary condition.

The purpose of this paper is to develop a multi-attribute group decision-making (MAGDM) method under the q-rung orthopair trapezoidal fuzzy environment, which calculates the interaction between the criteria depending on the proposed q-rung orthopair trapezoidal fuzzy aggregation Choquet integral (q-ROTrFACI) and employ TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) to consider the risk psychology of decision-makers, to determine the optimal ranking of alternatives.

In MAGDM, q-rung orthopair trapezoidal fuzzy numbers (q-ROTrFNs) are efficient to indicate the quantitative vagueness of decision-makers. The q-ROTrFACI operator is defined and some properties are proved. Then, a novel similarity measure is developed by fusing the area and coordinates of the q-rung orthopair trapezoidal fuzzy function. Based on the above, a Choquet integral-based TODIM (CI-TODIM) method to consider the risk psychology of decision-makers is proposed and two cases are provided to prove superiority of the method.

The paper investigates q-ROTrFACI operator to productively solve problems with interdependent criteria. Then, an approach is proposed to determine the center point of q--ROTrFNs and a q-rung orthopair trapezoidal fuzzy similarity is constructed. Furthermore, CI-TODIM method is devised based on the proposed q-ROTrFACI operator and similarity in q-rung orthopair trapezoidal fuzzy context. The illustration example of business models' solutions and hypertension health management are given to demonstrate the effectiveness and superiority of proposed method.

The paper develops a novel CI-TODIM method that effectively solves the MAGDM problems under the premise of fully considering the priority of criteria and the risk preference of decision-makers, which provides guiding advantages for practical decision-making and enriches the application of decision-making theory.

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the consumption of hazardous/harmful materials for better product life cycle, which not only improve environmental performance but also economic performance. But, for industries, it is still very difficult to understand and analyze the effect of individual activities and their corresponding contribution. The purpose of this paper is to identify and analyze selected issues in green supply chain management for the implementation of the green concept in industries.

To fulfill the objectives of this paper, analytical network process-multi-objective optimization using rational analysis (ANP-MOORA) techniques are used. In the proposed methodologies, different issues, sub-issues, and alternatives are identified for the selection of the best supply chain using ANP which is being followed by the MOORA method.

Findings of this paper are highly valuable for the Indian manufacturing industries for the management of green supply chain (GSC) issues.

In this research, only selected issues are identified and analyzed for the management of GSCs. Further, it is believed that an ANP-based framework helps to take up the explicit account of multi-criteria decision making (MCDM) approaches in decision making and for improving and selecting the best supply chain. Other issues in GSC can be analyzed and further extended by other MCDM approaches.

This paper identified different type of supply chains and their issues. The systematic way of analyzing the green concept in supply chain helps the researchers and managers to implement green management practices for improving economic and environmental performance.

This study aims to develop a resilient contractor selection model that also considers community concerns in post-disaster reconstruction projects using a “build-back better (BBB)” approach.

At the outset, a comprehensive literature review was conducted to develop the model. During this literature review, a set of contractor selection criteria were identified. Focus group discussion (FGD) sessions were then organized to revise and refine the identified criteria. As a result, a final list of 39 selection criteria was developed. Next, the Bayesian best worst method (BBWM) was conducted to determine the weights of each selection criterion. Finally, the proposed model was validated by conducting a hypothetical case study and fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (fuzzy VIKOR) analysis. Moreover, a sensitivity analysis was conducted to examine the effect of the maximum group utility (v) value in the model.

The results emphasized that contractors in post-disaster reconstruction projects cannot be selected merely based on “technical” and “economic” factors. Instead, the other aspects, namely “organizational and managerial,” “environmental sustainability,” “resource management and procurement” and “end-user,” should also be taken into consideration. Second, factors related to financial strength, experience, risk management, energy efficiency, resource availability and assurance were particularly deemed the most significant, needing the detailed attention of the decision-makers. Lastly, the case study revealed that the proposed model has a significant potential to systemize contractor selection processes in post-disaster reconstruction projects.

Disasters, which are increasing in frequency and severity today, devastate the community’s environmental, economic and social conditions. Post-disaster reconstruction projects commence rapidly after a disaster for recovery. However, poor management procedures in these projects trigger time and cost overruns. Unlike traditional construction projects, post-disaster reconstruction projects are distinctive due to the uncertainties caused by the disasters and the prioritization of community concerns. Therefore, contractors should be selected in a way that can meet the specific needs of reconstruction projects. Otherwise, resilience in the built environment and community satisfaction can hardly be enhanced. Accordingly, this study is one of the first attempts to develop a contractor selection model for post-disaster reconstruction projects. It is believed that the developed model will make essential theoretical and practical contributions to the post-disaster reconstruction domain.

Despite noted instances of organizational cronyism in public sector Higher Educational Institutions (HEIs), there is a lack of empirical evidence on its detrimental outcomes. The present investigation tested the impact of organizational cronyism on knowledge hiding via the mediating role of moral disengagement and moderating role of egoistic climate.

A multi-stage random sample was drawn from the 312 teaching faculty working in HEIs of Lahore, Pakistan in three waves. M-plus was used to validate a longitudinal moderated mediation model based on Structural Equation Modeling.

The results showed that organizational cronyism leads to knowledge hiding. In addition, it was substantiated that moral disengagement acts as a mediator in the relationship between organizational cronyism and knowledge hiding. The strengthening impact of an egoistic climate was found in the direct and indirect association between organizational cronyism, moral disengagement, and knowledge hiding.

There is a dearth of research on the consequences of organizational cronyism and the understanding of the factors that underlie this association is limited. This research has bridged this gap by investigating the role of moral disengagement and egoistic climate in linking organizational cronyism and knowledge-hiding by building on social exchange and social cognitive theory.