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The purpose of this paper, positioned in the halal logistics research domain, is to bridge the gap between the theory of halal logistics and halal logistics' empirical implementation through a business process reengineering (BPR) project in the context of a major European airport (i.e. Frankfurt Airport, Fraport AG).

An in-depth case study approach has been adopted in the authors' business processes reengineering proposal. Prior investigations on the topic maintained that “business process analysis and activity elimination” (BP and AE) and “problem analysis” (PA) are the most widespread approaches when the prominent business reengineering dimension under analysis is the specific process/task. Consistently, the authors adopted a six-step BP&AE-based model in order to implement the halal logistics requirements in the context of an air cargo supply chain.

This paper addresses fundamental issues about the analysis and the redesign of air cargo processes when halal shipments are taken into account. Conceptual breakthroughs of new processes are suggested. The paper sheds light on potential issues which may arise when adapting the extant air cargo processes to halal logistics guidelines. In addition, the paper suggests an appropriate resolution scheme articulated in two stages of progressively higher compliance to halal logistics according to the Malaysian standards (MS).

The outcome of this work has implications for practitioners, researchers, and transport associations. For practitioners, the study offers an immediately applicable implementation plan which is ready to be discussed with all agents involved in the business reengineering (BR) process. For researchers, the study offers a basis for future halal logistics reengineering projects, both from a theoretical and from an empirical standpoint. Finally, the collaboration of transport associations will become mandatory due to an update of the International Air Transport Association (IATA) code system that includes a dedicated halal code, “HAL”, for halal air cargo shipments.

The concept of halal logistics is still in the infant stage and there is a complete lack of academic publications, especially empirical implementations of halal logistics principles. The authors' project provides detailed guidelines to help air cargo operators operating in non-Muslim-dominant countries to reengineer their internal processes and, in doing so, to comply with halal logistics and principles.

This study aims to analyze the relationship between economic complexity (EC) and the green economy (GE) with the real and accrual earnings management (REM and AEM) of the listed companies on the Iranian stock exchange. The authors study whether EC and the GE can affect REM and AEM.

The authors used a multiple regression model based on the panel data and a fixed effect model to test hypotheses. The sample includes 1,351 companies listed on the Tehran Stock Exchange from 2014 to 2021.

The results show a positive and significant relationship between EC and the GE with REM and AEM.

Considering the importance of a GE and since this research is the first to address the mentioned topic in emerging markets, it provides helpful insights for financial statement users, analysts and legal entities. Our study fills the literature gap and promotes knowledge regarding its relevant literature. Examining this relationship portrays the latest research perspectives in this field. The information from this study can assist in environmental management decision-making and relevant policymaking, promoting the movement toward sustainable development.

System dynamics has several applications in the built environment, and few studies indicate that it has potential in evaluating sustainability. Sustainability in the built environment involves numerous entities and multiple trade-offs. Hence, a Multi-Criteria Decision-Making (MCDM) method is ideal for promoting sustainability-based decision-making in the built environment. Therefore, this study integrates system dynamics with an MCDM method to enable the sustainability assessment by capturing the time-induced dynamic changes affecting long time sustainability performance of buildings.

Conventional sustainability assessment tools in the built environment lack a comprehensive evaluation that balances the needs of the society, economy and environment. This study develops a system dynamics-based framework to enable sustainability-conscious decision-making and policy analysis in the built environment.

Various material, technology and water-related policies specific to the buildings are investigated for a case study building. It is found that the effect of penetration of renewable energy technology to the tune of 80% and above in the energy mix is a much superior policy in sustainability improvement in comparison to material and water-related policies. The study also demonstrates the effect of weights assigned for the different indicators on sustainability-based decisions.

The study provides a methodological framework for a sustainability-based decision support system for the built environment that enables dynamic performance evaluation by coupling system dynamics with the MCDM. This coupling further strengthens system dynamics as a decision-making and policy analysis for sustainability evaluation in the built environment.

Electric cars (EC) adoption represents a strategic action aimed at promoting environmental sustainability. Although Millennials and Gen Z represent the greatest potential market for EC, their adoption remains low; thus, this study focused on examining the role of motive in predicting EC adoption intention within these two generations’ population. Built upon the fundamental motive framework, this research explores the motives that lead to EC adoption intention. Subsequently, this study aims to examine the role of performance expectancy as the mediating variable and EC attributes beliefs as the moderating variable that can promote EC adoption intention.

Both exploratory and confirmatory methods were used in this investigation. Using an exploratory approach, this research explores the fundamental motives and the attributes of EC that influence EC adoption intention. Using a confirmatory approach, this research tests the mediating role of performance expectancy. To collect the data, an online survey was administered to 260 young consumers in Indonesia.

The results of PLS-SEM analysis from the data revealed that self-protection, kin-care, status and affiliative motives influence EC adoption. Furthermore, performance expectancy mediates the relationship between self-protection, mate acquisition, affiliative motives and EC adoption intention. Among EC attributes, the short-haul performance strengthens the indirect relationship between affiliative motive and EC adoption intention.

The main limitation of this study is that it only focuses on the practical attributes of EC, whereas psychological attributes that were found to be more influential in consumer’s purchase decisions were not examined.

Marketers need to explore EC attributes that can strengthen the relationship between consumers’ motives and EC adoption intention by increasing consumers’ evaluation of performance expectancy. In this study, marketers can promote short-haul performance, as it will lead to EC adoption for consumers with affiliative motives.

This study ties together two lines of research on the adoption of EC, exploring EC attributes and examining consumers’ motivation to choose EC, especially Millennials and Gen Z. In this way, EC attributes facilitate the fulfillment of consumers’ needs and promote EC adoption intention.

The primary aim of this study is to delve into the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. It does so by employing a qualitative research strategy, offering a comprehensive understanding of the issue.

This study uses a qualitative research strategy to examine the causes of occupational stress and burnout amongst administrative staff members in Pakistani universities. Around 20 semi-structured interviews were conducted via Teams with administrative employees in renowned universities in Rawalpindi, Islamabad and the Lahore region of Pakistan. Saldana's (2014) structured inductive data analysis method was used to analyse the collected data.

The study sheds light on the harsh realities faced by university administrative staff in Pakistani universities. These include top management ineffectiveness, role ambiguity, role conflict, favouritism, inequality, a communication gap with higher authorities, disparity of rewards and recognition, no career paths and opportunities, feeble leadership, corruption, inappropriate use of power, mishandling of qualified staff and non-acceptance of shifting roles from administration to academia. These are not just academic concepts but real-life challenges that demand immediate attention.

The study's findings have significant implications for Pakistan's Ministry of Education. Based on these findings, the recommendations proposed can serve as a roadmap for enhancing interpersonal development, implementing career development programmes, succession planning and supporting university administrative staff. These initiatives can lay the groundwork for achieving the UN Sustainable Development Goal-4 targets, making this research a valuable resource for policymakers.

Digital technologies (DTs) have the potential to revolutionize various aspects of heavy engineering projects by providing innovative solutions to traditional challenges. Therefore, this study explores and identifies critical areas for implementing DTs in heavy engineering projects in Lagos State, Nigeria, to increase productivity, reduce costs and enhance project delivery.

A quantitative research approach informed the formulation of a structured questionnaire, which was then disseminated to construction professionals. The data obtained were analyzed using the Statistical Package for the Social Sciences (SPSS). The relative importance index (RII) was employed to rank the significance of each application area. Exploratory factor analysis (EFA) then grouped the various application areas for DTs before fuzzy synthetic evaluation (FSE) was used to evaluate the significance of the identified key categories.

Based on the RII, the top five significant application areas identified were project management, cost estimation and budgeting, quality assurance and control, risk management and mitigation and construction site management. These areas were further grouped into three clusters: pre-construction phase, construction phase and post-construction phase.

A majority of existing studies have been focused on regular construction projects, with limited research addressing the unique challenges and opportunities within heavy engineering projects. This study fills this gap by specifically examining the implementation of DTs in heavy engineering projects, offering sector-specific insights that are distinct from those in regular construction.

The current work aims to understand the consumers’ adoption of electric vehicles (two-wheelers) from their value perspective by utilizing the value-based adoption model.

The study considered data from 302 potential electric two-wheeler customers and tested the hypotheses using structural equation modeling.

The outcomes showed that perceived economic benefits, social image, enjoyable acceleration and enhanced fun and perceived environment (positively) and perceived physical safety risk, perceived cost of ownership and range and charging risk (negatively) influenced the customers’ perceived value linked with electric two-wheeler (ETW) adoption. Only low engine noise emission and infrastructure issues did not affect perceived value.

Most of the respondents considered in the study were less than 35 years old. Hence, the model can be tested for other age groups.

The study’s outcomes will help ETW marketers, manufacturing companies and governments (state and central) to provide a more convenient environment for electric two-wheelers' adoption and help them curate appropriate strategies.

The current work offers a better understanding of potential customers' ETW adoption by employing a value-based trade-off.

This paper aims to present a conceptual framework for the emerging field of green energy platform economics.

The authors develop a conceptual framework based on a careful review of the existing literature, and research into the current provider landscape and insights from academic and industry experts. The authors also examine the implications for the energy sector’s value chain and derive a research agenda based on those areas where research still needs to be pursued.

The framework combines the spatial characteristics of platform models (residential/mobile) with the different types of platform business model (B2C/C2C/C2Grid). Using this framework, the authors illustrate how green energy platforms can fundamentally disrupt the conventional electricity value chain by enabling prosumers to market their assets, creating new arenas for trading and collaboration, and by increasing transparency and competition in the sector. The authors also identify areas where more research is required, particularly empirical studies into energy forms other than electricity and analyses of currently underrepresented aspects such as user interfaces and social interactions.

Green energy platforms have the potential to contribute meaningfully to the energy sector’s decarbonization, digitalization and decentralization, and hence to the deceleration of climate change.

This paper is among the first to provide a holistic perspective on platformization in the energy sector. It also offers a new perspective on platform economics in general that is based on the unique characteristics of energy as an economic good (intangibility, homogeneity, credence good).