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This paper aims to intend to help focal firms which are keen to develop a sustainable supply chain by identifying enablers, in knowing the interrelationships involved and in ranking the enablers.

Interpretive structural modeling and fuzzy MICMAC were used for the modeling and clustering of the enablers and fuzzy analytical hierarchy process has been used for the ranking purpose.

Awareness about sustainability incentives, pressure from stakeholders, support from supply chain partners and demand from customer for sustainable products were found very important for developing a sustainable supply chain.

This research will help practitioners to appreciate the importance of the enablers to focus on the making sustainability adoption feasible across the supply chain. This would also facilitate focal firm management to develop a sustainability culture across the supply chain.

Similar work has not been carried before in which interaction among enablers and their priorities were analyzed using hybrid methodologies in developing country context.

Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance.

The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation.

The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers.

The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance.

The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

Vertical handover has been grown rapidly due to the mobility model improvements. These improvements are limited to certain circumstances and do not provide the support in the generic mobility, but offering vertical handover management in HetNets is very crucial and challenging. Therefore, this paper presents a vertical handoff management method using the effective network identification method.

This paper presents a vertical handoff management method using the effective network identification method. The handover triggering schemes are initially modeled to find the suitable position for starting handover using computed coverage area of the WLAN access point or cellular base station. Consequently, inappropriate networks are removed to determine the optimal network for performing the handover process. Accordingly, the network identification approach is introduced based on an adaptive particle-based Sailfish optimizer (APBSO). The APBSO is newly designed by incorporating self-adaptive particle swarm optimization (APSO) in Sailfish optimizer (SFO) and hence, modifying the update rule of the APBSO algorithm based on the location of the solutions in the past iterations. Also, the proposed APBSO is utilized for training deep-stacked autoencoder to choose the optimal weights. Several parameters, like end to end (E2E) delay, jitter, signal-to-interference-plus-noise ratio (SINR), packet loss, handover probability (HOP) are considered to find the best network.

The developed APBSO-based deep stacked autoencoder outperformed than other methods with a minimal delay of 11.37 ms, minimal HOP of 0.312, maximal stay time of 7.793 s and maximal throughput of 12.726 Mbps, respectively.

The network identification approach is introduced based on an APBSO. The APBSO is newly designed by incorporating self-APSO in SFO and hence, modifying the update rule of the APBSO algorithm based on the location of the solutions in the past iterations. Also, the proposed APBSO is used for training deep-stacked autoencoder to choose the optimal weights. Several parameters, like E2E delay, jitter, SINR, packet loss and HOP are considered to find the best network. The developed APBSO-based deep stacked autoencoder outperformed than other methods with minimal delay minimal HOP, maximal stay time and maximal throughput.

The purpose of this paper is to suggest the fuzzy quality function deployment (QFD) method to assess LIFENET customers' spoken and unspoken needs in order to achieve the various objectives like: how to decide optimum portfolio for health services strategically; how to assess competitors' market position in order to reckon the market position of LIFENET; and how to set the revised target in order to satisfy the customers' demand and to fetch profit in order to satisfy managers' mission and vision in a competitive market.

A fuzzy QFD method has been devised to take care of the various LIFENET objectives. Fuzzy logic's use has been recommended to remove the uncertainty, vagueness, and impreciseness from data obtained to assess customers' spoken and unspoken needs. Symmetric triangular fuzzy numbers (STFNs) may be used to assess various needs to enhance data accuracy. House of quality (HOQ), an in‐built QFD matrix, may be constructed to take care of LIFENET's various requirements in order to satisfy internal and external customers.

Fuzzy QFD plays a vital role in assessing customers' need in terms of WHATs. Various WHATs thus obtained can be accomplished by incorporating technical parameter HOWs'. The QFD HOQ offers various vital comparisons for instance, WHATs vs HOWs, HOWs vs HOWs, NOWs vs WHATs, etc. to obtain important inferences, which help to revise target to remain competitive in the market. Fuzzy QFD helps devise a management strategy to follow customers' needs in health industry successfully.

Accessing Indian customers' needs poses many challenges as the decision to opt for a given healthcare service is most uncertain because it varies from person to person. The set of parameters that influence individual decisions to opt for healthcare services are costs, treatment response time, disease/risk, and health service satisfaction. Fuzzy QFD may help LIFENET promoters to consider customers' favored health services thereby helping strategically in their attempt for major expansion, in order to get the most benefits of becoming first‐movers in the sector. Fuzzy QFD may also help LIFENET to avert major investment decisions that looked attractive in short‐term, but in fact were unfruitful, in long‐term.

The globe has experienced a devastating COVID-19 pandemic, putting the planet under lockdown and causing social alienation. The near collapse of social and economic activities is disrupting the supply chain. Customer-required products were in low supply across the world. A slew of new digital firms springs up to fill the need during this time. This study aims to reach a holistic goal by better understanding customers' digitalisation behaviour. The first step is to review existing consumer digital psychology research to map this study’s current knowledge of the pandemic's early and late phases and the impact of digital businesses on consumer behaviour. Finally, it provides lawmakers with a future agenda for limiting the digital psychology of consumers and enterprises.

This study used the Scopus and Web of Science databases to extract records to follow the preferred reporting items for systematic reviews and meta-analyses statement. The final 57 papers were applied after the screening process. The digital environment, psychological digitalisation and behavioural changes were recognised as three primary classes based on a comprehensive examination of the previous literature. This study identified possible difficulties in earlier literature: the scarcity of collaborative and transdisciplinary research on digital psychology, which various academics have emphasised in the past. On the other hand, these investigations were primarily conducted in the psychological surroundings of technology users.

According to this study, digital psychology has improved significantly during the pandemic and many new digital start-ups have arisen. This study also used digital research to create a framework for a pandemic strategic response plan to help minimise the current COVID-19 pandemic and prepare for future outbreaks.

The study mapped existing literature on digital psychology alterations because of the novel COVID-19 outbreak.

The main purpose of this review was to synthesize pre-service teachers' digital self-efficacy in the context of education 5.0 and to identify the elements that affect pre-service teacher's digital self-efficacy and preparedness for future technologies. A systematic review approach was employed to analyze the 22 articles about the pre-service teachers' digital self-efficacy of in the paradigm of education 5.0. The review was conducted from 2012 to 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In this study, PICO model was used in framing research questions. The findings of the review revealed that limited study has been carried out in the context of digital self-efficacy in the context of education 5.0. It was found that previous studies were only focusing general digital self-efficacy through traditional ways. Moreover, findings revealed there is lack of research on digital self-efficacy pre-service teachers in the realm of education 5.0 paradigm in the literature. More specifically, the results revealed that implementation of education 5.0 into teacher preparation programmes faces numerous challenges, including a lack of technological approach, poor digital infrastructure, the digital divide, a paucity of professional training opportunities for teachers and a lack of importance in policies. This synthesis of the literature review has practical implications for pre-service teachers along with policymakers. Pre-service teachers are required to increase their digital skills for the reason that they could teach the advanced generation. The policymakers can revisit and update the curriculum to incorporate education 5.0 principles in the teacher education programmes. This comprehensive review helps to better understand the pre-service teachers' digital self-efficacy towards education 5.0 and contributes to the body of existing knowledge on digital self-efficacy. Moreover, this study gives valuable insights on the incorporation of education 5.0.

The purpose of this paper is to investigate the service quality of wireless telecommunication services in the UAE.

This study uses the five dimensions of SERVQUAL instrumentation (reliability, assurance, tangibility, empathy and responsiveness) that are believed to represent service quality to approach a result of service quality level through comparing customers’ expectations to their perceptions. A SERVQUAL survey was constructed and distributed among a total number of 100 Etisalat users from four different age groups.

The results showed a significant difference between users’ expectations and the current level of quality of services in tangibility dimension of quality. The other variables were ranked in this order, assurance, reliability, responsiveness and empathy in service quality.

The research findings encompass individuals from society only and may not be practical to generalize the findings to business organizations or industries as they have special offers and packages designed for their nature of the study.

This research is intensely valuable for Etisalat telecommunication company as it reflects and rates their service provided to the individuals of the society (citizens and residents) from five different critical dimensions. Consequently, it offers the firm the chance to improve the negative gaps in their services. Thus, higher customer satisfaction and loyalty.

This study demonstrated that a multi-cultural society could influence customers’ expectations and perceptions of service quality. The study results showed opposing expectations and perceptions to the same dimension from people of the same age group. The highest gaps were found to be in the tangibility and assurance dimensions whilst the lowest gap was found in the empathy dimension.

The earth needs to go green as it clarifies that humans should adopt a sustainable lifestyle that will be friendly to the environment and society. The emerging stream of academic literature on “go green” adds a new perspective to the deep-rooted conception of entrepreneurship. The objective of green entrepreneurship is to follow the traditional concepts of entrepreneurship but also brings the additional potential for society and the environment. The present paper is designed to study the impact of personality traits and university green entrepreneurial support on green entrepreneurial intentions along with the moderating role of environmental values.

The data are collected by using the survey method, and the five-point Likert scale is used for this purpose. The statistical techniques applied to the dataset were confirmatory factor analysis and partial least square structural equation modeling.

The results revealed that personality traits are positively and significantly associated with green entrepreneurial intention, but risk-averse students depict insignificant results towards green entrepreneurial intention. Also, university green entrepreneurial support results in positive green entrepreneurial intention. Environmental values also strengthen the association.

Previously, researchers emphasized the entrepreneurial intentions for the sake of improving the economy, decreasing unemployment and promoting small ventures, but none focused on the green aspects of entrepreneurship. To date, we still lack knowledge regarding students' green entrepreneurial intentions and how personality traits and green support affect the intention. The focus of the present study is to sustain nature and ecosystems through green entrepreneurship by providing directions and economic and noneconomic gains for investors, entrepreneurs, students, universities and societies.

Purpose: The aim of this chapter is to find out the factors affecting female entrepreneurship in the case of the Corporate Social Responsibilities (CSR) in entrepreneurship.

Methodology: In this chapter, semi-structured interviews are conducted to reach the final findings of the study.

Findings: Findings entail different six factors that severely affect CSR activities in entrepreneurship in Pakistan. These six factors are the educational system and skills gap, Cultural Mindset and Risk Aversion, Limited Access to Finance, Regulatory and Bureaucratic Hurdles, Political Instability and Security Concerns, and Inadequate Infrastructure. Every factor has its intensity and influence on the entrepreneurial process.

Originality/value: This chapter can be useful for international and local NGOs, academic institutions, financial institutions, government agencies, and entrepreneurs.

The objective of this study is to investigate the barriers hindering the integration of lean manufacturing (LM) practices within the furniture industry of Bangladesh. The traditional operational paradigms in this sector have posed substantial challenges to the effective implementation of LM. In this study, the barriers of implementing LM in the furniture business are examined, aiming to provide a systematic understanding of the barriers that must be addressed for a successful transition.

The research reveals that “Fragmented Industry Structure,” “Resistance to Lean Practices” and “Inadequate Plant Layout and Maintenance”, emerged as the foremost barriers to LM implementation in the furniture industry. Additionally, “Insufficient Expert Management,” “Limited Technical Resources” and “Lack of Capital Investment” play significant roles.

The outcomes of this study provide valuable insights into the furniture industry, enabling the development of strategies for effective LM implementation. One notable challenge in lean implementation is the tendency to revert to established practices when confronted with barriers. Therefore, this transition necessitates informed guidance and leadership. In addition to addressing these internal challenges, the scope of lean implementation should be broadened.

This study represents one of the initial efforts to systematically identify and assess the barriers to LM implementation within the furniture industry of Bangladesh, contributing to the emerging body of knowledge in this area.