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This study proposes to adopt joint application design (JAD) in the requirement gathering process on developing a knowledge management system (KMS) using Fernandez methodology. It is proposed that Fernandez methodology produces only a list of KMS features and the requirement of the feature is still unclear. This study aims to produce KMS that meets the needs and expectations of users based on features of Fernandez's methodology.

This study was conducted using a combination methodology that combines Fernandez methodology to identify the feature needs of the organization and JAD to identify user requirements of KMS. The system prototype is evaluated by measuring user satisfaction using the Post Study System Usability Questionnaire.

The results of this study indicate that with the adoption of JAD it is possible to get the requirement in accordance with the expectations of the user. In addition, this study also shows that the level of user satisfaction with the prototype developed with the requirement is high at 84% of the maximum score.

This study was used only in the education context, especially teaching assistant problems at the Faculty of Computer Science, University of Indonesia. For this reason, further research is needed for different contexts so that the implementation of this combination of methods can be generalized more broadly.

This paper provides practical implications for the development of KMS by identifying user requirements using JAD.

This paper provides a combination method to generate KMS that meets user requirements.

Knowledge growth is currently experiencing a very exponential increase, through a digital transformation of knowledge in the organization and the emergence of various platforms through management system content such as blogs and social media that have encouraged such growth. An employee no longer only interacts in knowledge management (KM) in his organization but can communicate and collaborate to share knowledge through these platforms widely. Much of the spread of knowledge is a challenge for organizations to manage and use their knowledge and spread knowledge and become part of the expertise possessed by employees in their organizations. For this reason, an intelligent knowledge mapping approach is needed to facilitate finding, managing and identifying knowledge owned by an organization. This paper aims to see the use of smart knowledge mapping in organizations empirically.

This research was conducted empirically by conducting a literature study method to compile a questionnaire and conduct a survey through purposive sampling, sampling taken from the KM and Society Indonesia community. This survey limits only to respondents who have experience in conducting knowledge mapping in an organization.

The use of data sources that have been owned by the organization and also the consideration of the use of digital footprint employees spread across the internet can be a potential to explore the knowledge resources possessed by the organization. Of course, with the support of technology through the use of artificial intelligence (AI), it is expected to be able to present a comprehensive, adaptive and objective knowledge mapping for the organization.

The paper provides practical implications for knowledge mapping implementation in an organization by adopting AI with considerable digital footprint employees spread across the internet.

This paper provides empirical information about knowledge mapping implementation in Indonesian organization.

Adiponectin, a bioactive molecule produced by adipose tissue, has potential effect in increasing insulin sensitivity. Adiponectin levels reduction is associated with type 2 diabetes mellitus (T2DM) and its complications, including cardiovascular disease (CVD). Triglyceride-to-high-density lipoprotein (TG:HDL) ratio can be used as a predictor of CVD risk in T2DM patients. Whiteleg shrimp (Litopenaeus vannamei) shell contains astaxanthin, macro- and micro-nutrients that may exert synergistic beneficial effects. This study aims to determine the effect of L. vannamei shell powder (LVSP) in improving adiponectin, TG, HDL and TG:HDL of T2DM Wistar rat, and to investigate the presence of any correlations between adiponectin and lipid markers.

A total of 25 male Wistar rats were divided into five equal groups: control negative [C(−)], control positive [C(+)], treatments 1, 2 and 3 (T1, T2 and T3, respectively). C(+), T1, T2 and T3 were maintained on a high-fat diet for 14 days before streptozotocin (STZ) injection. T1 and T2 groups were administered two different doses of LVSP, while T3 group was provided astaxanthin supplement (AST).

LVSP treatments significantly increase adiponectin (p = 0.04) and HDL (p < 0.001) but reduced TG (p < 0.001) and TG:HDL (p < 0.001). A higher LVSP dose was more effective in improving all markers than the lower dose; moreover, there was a comparable effect as that of AST in increasing the adiponectin levels. Strong correlations were observed between adiponectin and lipid markers.

This study shows that LVSP as a functional food, can ameliorate adiponectin levels and normalizes blood glucose levels. The LVSP reduces the risk of CVD because of the reduction of TG:HDL.

Sustainability involves ensuring that sufficient resources are available for current and future generations. Non-revenue water (NRW) creates a barrier to sustainability through energy and water loss. However, a comprehensive overview of NRW reduction strategies is lacking. This study reviews the existing literature to identify available strategies for reducing NRW and its components and discusses their merits.

A systematic literature review was conducted to identify and analyze different strategies for reducing NRW. The initial search identified 158 articles, with 41 of these deemed suitably relevant following further examination. Finally, 14 NRW reduction strategies were identified from the selected articles.

The identified NRW reduction strategies were grouped into strategies for reducing (1) apparent losses (AL), (2) real losses (RL) and (3) water losses, with the latter involving the combination of AL and RL. The strategies adopted most frequently are “prevent water leakage” and “control water pressure.” In addition, water distribution network (WDN) rehabilitation has additional benefits over other RL reduction strategies, including saving water and energy, increasing hydraulic performance and enhancing reliability. Finally, utilizing decision support systems is the only strategy capable of reducing multiple NRW categories.

This review provides insights into the overall NRW problem and the strategies best equipped to address it. Authorities can use these findings to develop case-specific NRW reduction action plans that save water and energy, while providing other economic benefits. In addition, NRW reduction can improve WDN reliability.

Financing is one of the main activities and a major source of revenue for Islamic Cooperatives. This study aimed to analyze the effect of capital structure, third party funds and non-performing financing to the finance portfolio as well as to analyze the effect of capital structure, deposits, non-performing financing and the distribution of funding to profitability. The analysis technique used is multiple regression analysis, using F test and t test. The results of the analysis showed that the capital structure, third party funds and non-performing financing significantly effect on the distribution of funding. Capital structure, third party funds, and the distribution of funding has a significant effect on profitability, Sharia Cooperative BMT in Indonesia. While non-performing financing does not affect the profitability of Islamic Cooperative Baitul Maal Tamwil in Indonesia.

Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5–20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the networks found via an analytical bibliometric study of the scientific output related with microteaching in teacher training, through a study and examination of the Web of Science database.

This research was conducted with the VOSviewer tool for content analysis through data mining and scientific network structure mapping by means of the normalisation technique. This technique is based on the association strength indicator, which is interpreted as a measurement of the similarity of the units of analysis.

Two hundred and nine articles were thus obtained from the Web of Science database. The networks generated and the connections among the various items, co-authorship and co-citation are presented in the results, which clearly indicates that there are significant authors and institutions in the field of microteaching. The largest cluster is made up of institutions such as Australian Catholic University. The most often-cited document is by Rich and Hannafin. Allen (1968), who defines microteaching as a technique based on microclasses and microlessons, is the author most often cited and has the largest number of connections.

This research’s limitations concern either aspects that lie beyond the study’s possibilities or goals that have proved unattainable. The second perspective, which focuses on skill transfer, contains a lower percentage of documents and therefore has a weaker central documentary structure. Lastly, the authors have also had to bear in mind the fact that the scientific output hinges upon a highly specific realm, the appearance and/or liberalisation of digital technologies and access to those technologies in the late 20th century.

This research shows that microteaching is a promising area of research that opens up vast possibilities in higher education teacher training for application in the realm of technologies. This paper could lead to several lines of future research, such as access to and the universal design of learning from the standpoint of different communication and pedagogical models based on microteaching.

This study aims to identify the dominant brand attributes based on the survey conducted among 100 young consumers to know their perceptions toward sustainable brands, using multi-criteria decision-making (MCDM) techniques, arithmetic hierarchical process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS).

In total, 100 young consumers (18 to 24 age group) were asked to provide the pairwise comparisons for the 10 brands. MCDM methods were applied on triple bottom line dimensions to identify the best alternative. AHP is applied to compute weights for the brands’ attributes necessary for brand’s sustainability, further analyzed by TOPSIS method to rank Forbes’ top 10 brands as per young consumers’ intentions to buy.

Apple is the most sustainable brand perceived by young consumers followed by Google and Samsung. Being the top brand in Forbes list Apple also fulfills its responsibility toward the environment and recognizes young consumers’ perception accurately. Google is also contending with the same strategy and succeed in achieving a sustainable brand image. Samsung despite at number seven and second-highest revenues after Apple has managed excellently in building sustainable brand image.

Findings have shown that the top global brands do not show the same order as they exhibit in their top ranking (Forbes, 2019), and thus, create a research gap to be fulfilled by identifying the causes for the same. The results show that brand consistency and performance can be achieved through implementing sustainable and green practices such as acting social responsibility, high-quality green products, environment protection, etc., and transforming these into capabilities.

The study is an attempt to further validate Forbes’s top brands based on their perception among young customers. The study may help practitioners and policymakers to understand and get familiar with a new methodology to evaluate brands and also how to develop a positioning strategy for targeting young consumers. The paper will be a useful source of information for marketers to know how young consumers from developing countries perceive top brands on the basis of sustainability.

The social benefits of brand sustainability are related to improvements in the quality of environment, health and well-being. To link these, an enabling environment must be created that optimizes resource use, allocation and distribution.

The study is a unique attempt to use AHP and TOPSIS to evaluate the best – performing green brand from the perception of young customers in developing counties. Besides, the study provides brands attributes’ framework for sustainability and is significant for developing a model as per the choices of the young consumers.

This study assesses postreplanting oil palm farming risks, analyzes seed procurement parameters, investigates seed institutions' performance factors and develops a framework for improved sustainability.

Incorporating data from 219 smallholder farmers in designated replanting areas, our study comprehensively evaluates seed supply performance, examining the roles of stakeholders and identifying potential risks in seed management. We assess these risks using the Risk Priority Number (RPN) methodology and Multidimensional Scaling (MDS) techniques.

The results show that the timing and quantity of oil palm seed supply have a relatively small impact on postreplanting failure risk. To mitigate this risk, focus on monitoring seed purity using high-quality Tenera oil palm-type seeds and early detection technology. Encourage seed-producing cooperatives to become legal seed producers for an inclusive system and consider smallholders' variety preferences.

This study’s significance lies in its comprehensive assessment of the risks associated with oil palm replanting on smallholder plantations, detailed analysis of critical parameters in seed procurement, investigation into the performance of palm oil seed institutions across various dimensions and development of a strategic framework to strengthen inclusive seed institutions for sustainable oil palm farming. This strategy holds valuable potential for the development of oil palm in Indonesia, particularly in expediting the smallholders' replanting program.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2023-0811

Sustainability has become a global need for survival in every field since the side effects of financial development have resulted in environmental devastation. Green banking (GB) has been proposed as a way to reduce the carbon footprint caused by banking operations by promoting paperless financial services through the intensive use of technology. However, the adoption level of GB technology remains unsatisfactory among customers in the United Arab Emirates (UAE). Therefore, using the unified theory of acceptance and use of technology (UTAUT), this study aims to comprehensively investigate the challenges affecting the intention of bank consumers in the UAE to adopt GB technology.

This study used exploratory sequential mixed-methods research. Preliminary semi-structured interviews were conducted with ten banking professionals using a purposive sampling technique to explore the challenges affecting consumers’ intention to adopt GB technology. Sequentially, the study tested various factors through a quantitative cross-sectional online survey of a sample of 332 bank customers and used the convenience sampling technique to obtain further empirical support for the research framework. Thematic content analysis using NVivo 11 was used for the qualitative data analysis. Meanwhile, partial least square structural equation modelling in Smart PLS 3.3 was used for the quantitative data analysis.

The qualitative analysis identified six new challenges affecting customers’ intention to adopt GB technology, including customer awareness, personal innovativeness, bank reputation, security and privacy, system quality and government support. The preliminary qualitative findings were confirmed mainly through quantitative data analysis, whereby customer awareness, personal innovativeness, system quality and bank reputation were found to significantly impact customers’ intention to adopt GB technology. However, the effects of security and privacy and government support were insignificant.

To the best of the authors’ knowledge, this study is the first to propose a comprehensive model that considers individual, technological, organisational and environmental factors to address the issue of customers’ low GB technology adoption rates in the UAE. Meanwhile, this study extends the UTAUT by integrating new factors. This paper is also among the first to investigate customers’ GB technology adoption intention using a mixed-methods approach, which combines the strengths of quantitative and qualitative methods within the same study to offer better insights than a single-method approach.

This paper aims to develop indicators of happiness in learning of the Thai open university (TOU)'s undergraduate students.

Sampling for the study was comprised of two groups. Group I comprised eight lecturers who are experts in their disciplines and six students who were purposively sampled. The focus group was used to validate the appropriateness of the indicators. In Group II, 332 students were engaged in a multistage sampling process. The responses were analyzed using descriptive statistics, coefficient correlation, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The indicators of happiness in learning of undergraduate students of TOU were classified in six categories. These included satisfaction with learning environment (five indicators), learning anxiety (five indicators), satisfaction with learning (five indicators), enthusiasm to learn (six indicators), self-satisfaction (six indicators) and readiness to learn (seven indicators). The six categories explained happiness in learning of undergraduate students of TOU at the 65% and fit empirical data.

The TOU can use the indicators for the assessment of happiness in learning of its students as well as guidelines for the improvement of its student learning environments.

There have been very few studies on indicators of happiness in learning of TOU students. Most were done at the basic education level. This study disclosed the six factors affecting happiness in learning of TOU students; therefore, it should inspire and draw attention of many in the field of higher education distance learning.