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This paper aims to address the urban mobility and traffic congestion problem under environmental dynamics to improve mobility and reduce traffic congestion using system dynamics (SD) simulation and scenarios.

SD simulation was used to analyze urban mobility and traffic congestion. Data were collected from the Transportation Department of Surabaya City. Several scenarios to improve urban mobility and reduce traffic congestion were developed by modifying the structures and parameters of the model.

Several factors influence urban mobility, including modal split, trip frequency, delay performance and the ratio of public transport supply and demand. Urban mobility, daily traffic and road capacity are some factors that affect traffic congestion. Scenarios can be designed based on the assumptions of the proposed strategy.

The study was conducted at Surabaya City, East Java, Indonesia, which is the fourth most-congested city in the world.

By implementing several strategies (mass rapid transit and bus rapid transit development and public transport delay reduction), mobility performance is projected to be improved by 70.34-92.96%. With this increased mobility, traffic congestion is projected to decline by 52.5-65.8%.

The novel contributions of this research are: formulating relationships between several variables; modeling dynamic behavior of urban mobility and traffic congestion; and building scenario models to improve mobility and reduce traffic congestion in Surabaya. With the increase in urban mobility and the decrease in average daily traffic, traffic congestion could be reduced by a minimum of 57.6% and a maximum of 69%.

This paper aims to examine the recipe for and standard methods of dyeing cotton fabric with natural dyes from jackfruit wood extract. The dyeing of the fabric was performed by immersion it without heating for a short time to obtain the best results.

The dyeing experiment using cotton fabric with jackfruit wood extract was conducted by immersion at room temperature. The independent variables studied were the mordant method, type of mordant, mordant concentration, salt concentration and dyeing pH. The dependent variables were colour strength and colour fastness to washing and rubbing. The orthogonal array L16 (45) was used in the study to obtain the optimal values for each parameter of the response variables. The multi-response signal-to-noise (MRSN) method was used to optimise the five response variables with different quality characteristics so that the best parameters could be obtained based on the highest MRSN ratio value.

The best parameters were obtained at an MRSN value of 4.5254 under A3B3C1D2E4 conditions, namely, the dyeing process with post mordant, aluminium nitrate type mordant, mordant concentration of 10 g/L, salt concentration of 15 g/L and dyeing a pH: of 10. Under these conditions, the value of K/S was obtained at 1.893, colour fastness to washing (GS: 4) and (SS: 4–5), dry rubbing (SS: 5) and wet rubbing (SS: 4–5).

Obtaining a standard recipe and method for dyeing cotton cloth with jackfruit wood extract by immersion without heating is expected to lead to the development of natural dyes, and especially their application on an industrial scale. This standard and method can be used as technical guidelines by industry. The use of aluminum nitrate as a mordant will help achieve optimal dyeing results. The use of polyaluminium chloride (PAC) mordant, which has the potential to produce high colour strength, and papaya fruit sap, which has the capacity to increase colour fastness, still need to be developed to improve the results of natural dyes.

The standard recipe and dyeing method will be able to improve the results of the dyeing of cotton fabrics with natural dyes. Short immersion dyeing without heating and the optimal results obtained are the main attractions for their use by the textile/batik industry, as the process is easier and a lower cost. The results of dyeing with dark colours and good colour fastness mean the textile products are of the higher quality demanded by consumers, thereby increasing sales. This will encourage the use of and increase the need for natural dyes by industry, consequently reducing the use of synthetic dyes.

The use of natural dyes, chemical mordant from aluminum salts, and natural mordant from papaya fruit sap in the dyeing process in the textile/batik industry in Indonesia will produce eco-textile and eco-batik products that are environmentally friendly and of high quality. This in turn will increase consumer interest and sales, meaning that the income and economy of workers in the textile industry/crafts sector will also increase. In addition, the use of natural dyes with the selection of a safe mordant (not containing heavy metals) will reduce the use of synthetic dyes, which pollute and damage the aquatic environment.

This study found a standard recipe and method of dyeing cotton fabric with natural dyes from jackfruit wood extracted by immersion without heating for a short time to obtain the best results. In addition, the discovery was of PAC, a new mordant which is effective in the use of natural dyes can give high colour strength to cotton fabric. In addition to the discovery of a new mordant, PAC, which has the potential to produce high colour strength, papaya fruit sap also has the capacity to increase colour fastness with the use of natural dyes from the flavonoid group.

This paper aims to provide bibliometric data from previously published research in Islamic fund management. Several categories, such as the most influential authors, the keywords and themes of the previously published research, were analyzed. Also, this paper provides a rigorous background for Islamic mutual funds research by synthesizing and reviewing the content of the previously published research to identify the gaps and provide future research direction.

Data were gathered from Scopus databases from the year 2007 until 2022. A total of 115 articles were found published over the period of 15 years. Three different software, namely, R-Studio, VOSviewer and Excel are used to analyze the data that depict, among others, the most impactful authors in the field, the top journals covering Islamic fund management research and the most cited document. Content analysis of the previously published research was also provided.

Publication in Islamic funds started gaining attention in the year 2012 and after. Collaborative works on Islamic funds are not strong yet among the contributory nations, although the USA and Malaysia contributed the highest number of publications. This study also found that there was a lack of research collaboration among authors in this research field, and most of the articles published were concentrated on the performance measurements of Islamic funds.

Researchers might find the results of this paper useful, as they provide a comprehensive analysis of the previously published research in the field.

While these findings gave an overview of the intellectual structure of the research field, they also have the potential to inspire scholars working on Islamic funds research to collaborate on new research projects. Managers can also use this research to further enhance the emergence of Islamic fund management.

This is a comprehensive paper that examines previously published research in the field of Islamic fund management. The findings of this research benefit practitioners and researchers wishing to embark on research in this niche area.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

The purpose of this paper is to provide a comprehensive literature review on the application of information technology (IT) in Halal tourism. Halal tourism is a segment of the tourism business catering to Muslims in accordance with Islamic law, which has significant potential for economic growth and is an important export market for the global tourism industry.

Following the guidelines of Kitchenham, this study developed four research questions to achieve its objective. A systematic literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology, collecting and assessing 163 English-language publications published between 2016 and 2022, resulting in 18 relevant documents.

The review identified nine key research topics related to IT in Halal tourism, which are organized into three major themes: technology-enhanced Halal tourism, digital marketing and communications in Halal tourism and quality and satisfaction in Halal tourism.

This paper fills a gap in the existing literature by synthesizing the current research on the use of IT in Halal tourism. It also proposes potential areas for future research, such as developing artificial intelligence-powered applications for Halal tourism through the creation of a domain-specific knowledge graph.

This study aims to investigate the impact of the transformational leadership style on the behaviour of restaurant employees. Also, it was aimed to investigate the effect of transformational leadership on trust and the effect of trust on altruistic intention and organizational commitment.

The study integrates insights from transformational leadership to provide a fresh perspective to advance comparative organizational behaviour research. To test the hypotheses, the authors conduct a multiple analysis with observations from Turkey getting staff in culinary department with a quantitative survey.

This study equips different professional entities in the food and beverage industry with useful, contextualized links between transformational leadership. According to results, the perspective of transformational leadership style affects the concepts of trust, altruistic value and organizational commitment positively. Charisma, moral modelling and individualized consideration had a significant effect on trust. Also, trust has a significant effect on altruistic intention and organizational commitment.

The present study incorporated confidence as a mediating variable; however, it is recommended that alternative scales be used in subsequent research endeavours. Future research endeavours may incorporate theoretical frameworks such as theory of planned behaviour or stimulus-organism-response.

Transformational leadership style is a good acquisition for restaurant employees. There is a healthier and safer job sharing in these restaurants. This can be interpreted as a more satisfied customer. A good leader has a great contribution to the future and sustainability of the business.

This research created a new model and examined employees’ views on the company and its management. As a result of the analysis, it was determined that charisma, moral modelling and individualized consideration had a significant effect on trust.

This assists in learning better service quality developing and business practices to augment culinary staff, thereby maximizing their valuable contributions to tourism growth. This research created a new model and examined employees’ views on the company and its management.

This study aims to examine the impact of corporate social responsibility (CSR) on earnings management (EM). Furthermore, the authors assessed the mediating effect of accounting conservatism (AC) on the CSR-EM relationship over the long term. The authors also tested the moderating effect of corporate governance (CG) on the AC-EM relationship in the Finnish context.

Linear regressions were applied to panel data using Thomson Reuters’ ASSET4 database. Data were collected from 140 Finnish firms between 2005 and 2022.

The results confirm that negative CSR has an impact on EM. Moreover, AC mediates the relationship between CSR and EM. Likewise, CG moderates the relationship between AC and EM.

This paper may interest academic researchers and potential and current investors. This paper will help investors make relevant investment decisions. Managers should pay special attention to their EM. These firms must take social responsibility vis-a-vis all their stakeholders.

To the best of the authors’ knowledge, this study is the first to use AC as a mediator and CG as a moderating variable in the Finnish context. This research will enrich the literature by providing a comprehensive picture of the relationships between CSR and EM through AC and CG in developed markets. Therefore, it is crucial to understand the implications of CSR in Finnish companies.

The purpose of this paper is the development of a reference model contributing to the identification of the retail supply chain activities that can be improved by the implementation of Lean Six Sigma (LSS) initiatives, following DMAIC steps and using proposed tools, based on contemporary technologies and best practices.

The reference model was developed combining the existing literature knowledge about the areas of supply chain that LSS can improve and the data collected by two big retailers in Greece about their supply chain operation. The integration of two sources of information led to the modeling of the retail supply chain processes and the proposal of appropriate LSS initiatives for their improvement.

This paper aimed to detect the pain points of a retail supply chain, which can be achieved by following the steps of DMAIC and applying specific LSS initiatives as described in the reference model, to introduce the trends of the sector in terms of logistics and supply chain.

The reference model of this paper can be used as a comprehensive guide of LSS implementation in the retail supply chain and help the companies of such a significant sector for the economy.

The literature review revealed that there is a lack of publications concerning LSS implementation in retail supply chain and in the retail sector in general. The development of this model contributes to the filling of this gap by providing a complete reference model, which strives to overcome the barriers of LSS adoption in retail supply chain.

Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.

The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).

Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.

This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.

This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.

The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).

The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.

The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.

The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.

This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.