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The purpose of this study was to evaluate the in vitro and in vivo effects of three varieties of Indonesian fermented rice bran (RB) (Inpari 6, Inpari 30 and Inpara 1).

Three types of RB were fermented using Rhizopus oligosporus. The total phenolic content (TPC) was determined using the Folin–Ciocalteau method, and antioxidant activity was analyzed by measuring the 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity (RSA). For in vivo analyses, one week after acclimatization, stroke-prone spontaneously hypertensive rats (n = 4, 12 weeks of age) were divided into two groups and orally administered fermented RB (40 mg/kg body weight) or distilled water as a control after 16 h of fasting. Blood pressure (BP) was measured before and 2, 4 and 6 h after administration with a BP monitor without warming. Six days later, the rats were subject to the same procedure and sacrificed after 6 h of oral administration. Blood was collected and the plasma was separated to measure nitric oxide, glucose and insulin levels.

The highest TPC and RSA of fermented RB were obtained from Inpari 30 after incubation for 72 h (260.33 ± 0.39 mg GAE/100 g dry basis and 83.71 ± 0.61 per cent), respectively. Furthermore, single oral administration of fermented RB improved BP (p < 0.05) and glucose metabolism after 6 h of administration (p < 0.05).

This is the first study to evaluate the effects of fermented RB on improving high BP and glucose profiles by using a spontaneously hypertensive animal model.

This study aims to describe how creative thinking ability could be improved through correcting the thinking schemata using cool-critical-creative-meaningful (3CM) learning model.

This study implemented mixed methods with explanatory sequential, which means a study that was conducted by collecting quantitative and qualitative data, consecutively. The creative thinking ability was measured through tests and then triangulated with the student teachers answers in the interviews. The qualitative data consisted of creative thinking schemata that were collected with task analysis and think aloud method. The data were analyzed in two stages. Quantitative data analysis was used to identify the effectiveness of 3CM learning. Qualitative data analysis was conducted using Miles and Huberman’s analysis.

The findings presented that 3CM learning model is significantly effective to improve the creative thinking ability of pre-service primary teacher; students with formal, content and linguistic schemata that are good and complete will also have good mathematical creative thinking ability; the mathematical creative thinking ability of student is determined by the completeness of their schemata; and a good and complete schemata (formal, content and linguistic) will help the students to produce several problem-solving alternatives.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The results of this study suggest lecturers to give their students a great opportunity to develop their creativity in solving mathematical problems. Lecturers could give the students the opportunity to think systematically by beginning by criticizing the interesting contextual problems and ending with meaningful reflection with adequate learning resources.

3CM learning model is a model that is proven to be effective in helping the students in shaping the thinking schemata well and able to improve the creative thinking ability of the students.

This research aims to assess and compare project-based learning (PBL) designs to deliver technopreneur in higher education, as a case student of the Industrial Engineering Department. So, it can facilitate students who play a role in facilitating the process of technological transformation so the student knows well how to solve the problem of commercialization.

Undergraduate students of Industrial Engineering teams were given hands-on, collaborative projects conducted with two incubation centers, such as the Technology Incubator Center from the Agency for the Assessment and Application of Technology (AAAT) from the government of Indonesia and the Centre of Excellence for Electrical Energy Storage Technology (CEfEEST) from Sebelas Maret University (UNS), Indonesia. After completing the project, students will develop a final project which will become the basis for evaluating the implementation of PBL. The basis for the assessment uses a rubric designed through three sub-assessments: curriculum planning, report and presentation. This research uses the paired t-test method to see the average difference between the two groups of PBL in pairs and compare based on assessment results.

Implementing PBL between the two incubation centers (AAAT and CEfEEST) based on paired t-tests for each rubric assessment indicator showed most of them were significantly related. The assessment result gives the alternative to design the proposed PBL from AAAT, CEfEEST and a blended scenario for technopreneur education in the future.

The experiences and findings presented can help future PBLs provide technopreneur education based on comparing and evaluating learning outcomes in both incubation centers. Thus, it can produce a better PBL design to encourage the success of technology commercialization.

The assessment of PBL on students' knowledge in technopreneur education by utilizing the paired t-test method to compare the assessment results of the final projects with the designed assessment rubric. This evaluation serves as the basis for comparing the effectiveness of PBL implementation between AAAT and CEfEEST.

Due to recent technological developments, many maintenance managers become overwhelmed by the vast amount of data available to support their decision making. The purpose of this paper is to discuss identifying and eliminating waste in information management processes through a value stream mapping (VSM)-based method.

A theoretical framework is constructed based upon a review of the previous academic literature. The application of the framework is demonstrated with an empirical case example of a maintenance information management process within a food manufacturing company.

The paper highlights existing examples of applying VSM in information management; however, the knowledge is fragmented and has not been extensively applied in a maintenance context. The case example shows that the suggested process offers a feasible method of mapping and evaluating the inherent waste in information management processes.

The paper summarizes the existing body of knowledge on lean information management in maintenance, and presents a theoretical framework on how VSM can be applied in the context. An empirical example is provided to show the method applied to a real industry case. The results will illustrate how the framework can support companies in identifying the waste and development potential in their maintenance information management.

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

By the end of this chapter, you should be able to demonstrate an understanding of:

The importance of big data in the information revolution.

The resource-based view of the firm and dynamic capabilities as they relate to big data.

The use of big data in marketing decisions.

Consumer security concerns over the storage and processing of big data.

The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.

The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.

First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.

The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.

The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.

As university–industry collaboration (UIC) is associated to transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps industries become more competitive. UIC will assist universities in fine-tuning universities' educational programs to match with the industrial demand. This study, thus, presents a systematic literature review related to UIC in technology development process and technology commercialization.

The Scopus database is used to extract the relevant articles. First, in presenting the articles, four scientometric analyses are used to visualize the bibliometric clusters, namely articles and journals co-citation analysis, countries collaboration analysis and keywords co-occurrence analysis. Next, a qualitative approach is used to classify the articles according to the methodology used and type of research. Finally, a research trend and keywords' evolution based on keywords are also provided.

Results of this study reveal that majority of the articles used qualitative approach and descriptive analysis to explain the knowledge flow between industries and universities. According to the research trend analysis, researchers in this field were moving from the knowledge-based economy topic (from 2010–2013) to product development (2014–2015), technology commercialization (2016–2017), open innovation (2018–2019) and then currently are focusing on the green entrepreneurship topic.

This study is expected to facilitate scholars to uncover gaps in the literature of UIC.

This study extends the use of scientometric analysis. The combination of “bibliometrix” R-package tool and VOSViewer software to perform the analysis is expected to give a new insight of doing the systematic literature review.

The objective of this research is to determine the influence of solvency and liquidity on the profitability [return on assets (ROA)] of Tunisian banks from Q2-2020 to Q3-2022 by considering asset quality as a moderating variable.

This study uses data on liquidity, solvency, ROA and asset quality for 12 banks. It also considers bank size, gross domestic product (GDP) growth and inflation as control variables. The methodology is based on panel data with generalized least squares (GLS) estimation to assess the moderate influence of the asset quality on solvency, liquidity and ROA. Also, the generalized method of moments (GMM) estimation is used as a robustness test.

The results of the GLS model estimation indicated a negatively significant moderating correlation between the liquidity and the solvency. The data from the GMM model indicate that the liquidity variable predicted by the liquidity has a positively significant influence on a bank's ROA as well as for the solvency variable, which is predicted by the capital capacity. Therefore, we conclude that these two variables had a positively significant impact on the ROA.

The studies have many implications for banks and their management in addition to the industry regulators. The results of this study will enable political decision-makers to determine the banks' profits based on their liquidity and solvency.

This analysis provides financial explanations and recommendations for stakeholders in Tunisian banks. Furthermore, these banks must also be able to maintain their liquidity and solvency to ensure their profits in times of COVID-19.