Search results

Within low-income communities in urban slums, access to housing is limited because individuals in these communities cannot afford to purchase homes. One area of Indonesia with these conditions is Kampung Kajen, Danukusuman, Surakarta, where, oftentimes, a single house is inhabited by several families and is passed down from generation to generation. This causes a change in space, a narrowing of that which is inhabited by the next generation. This paper aims to examine the transformation of space within low-income homes in Kampong Kajen.

The research method was a qualitative case study approach, and data were collected through direct interviews and field observation. Informants in this study were classified into three groups: residents, non-residents and government agencies.

The space transformation that occurred in the studied samples was partial. The transformation continued to occur as the new families grew, and the area of space used by the new families experienced a narrowing for future generations.

The novelty of this research is in regard to the findings about the partial transformation of the house from generation to generation, which details changes in the layout and the extent of the house interior, the narrowing of the house, the change of owners and the changing behaviour of the house inhabitants. Partial transformation continues to occur in line with the addition of new families living in one house.

This study aims to examine the effect of lesser yam-based cookies on glucagon-like peptide-1 (GLP-1), blood glucose and lipid profile in overweight and obese individuals.

This was an experimental study on overweight or obese adults aged 21-50 years old. The intervention was done by giving 87g of cookies made with lesser yam flour in combination with wheat flour (80 and 20 per cent, respectively) for six weeks. Anthropometric measures, fasting plasma glucose, lipid and GLP-1 were measured before and after the intervention.

There were no changes in anthropometric measurements and glucose level after the intervention (p > 0.05). However, plasma low density lipoprotein (LDL) and total cholesterol decreased after the intervention (p = 0.033 and p = 0.035, respectively). Although fasting GLP-1 level (p = 0.121) was unchanged, we found that the slight changes in GLP-1 concentration was associated with changes in LDL and total cholesterol (p = 0.002 and p = 0.001, respectively).

The lesser yam-based cookies reduced fasting plasma LDL and total cholesterol, but not glucose level after six weeks of intervention. Additionally, reduction of LDL and total cholesterol level was negatively associated with the changes in GLP-1 level.

The purpose of this paper is to examine the effect of sustainability on word-of-mouth (WoM) intention and revisit intention, with environmental awareness as a moderator. This study was carried out in one of the tourist destinations in Indonesia, namely, Bali.

The population in this study was foreign tourists visiting Bali. This study uses non-probability sampling with a purposive sampling technique and uses inferential statistics. Inferential statistics was used to test the sample data on the effect of sustainability on WoM intention and revisit intention. The statistical tool used is warp-partial least square.

Effect of sustainability on WoM intention is that the higher perception of foreign tourists in the sustainability assessment will increase the WoM intention of foreign tourists. Contrarily, lower perception of foreign tourists on sustainability assessment will lower the WoM intention of foreign tourists. Effects of sustainability on revisit intention is that the higher perception of foreign tourists in the sustainability assessment will increase the revisit intention of foreign tourists. Contrarily, the lower perception of foreign tourists in sustainability assessment will lower the revisit intention of foreign tourists. Environmental awareness moderating the effects of sustainability on revisit intention is that the higher the environmental awareness of foreign tourists visiting Bali, the stronger the influence of sustainability on revisit intention. Contrarily, the lower environmental awareness of foreign tourists visiting Bali will lower the effect of sustainability on revisit intention.

Destination sustainability research from the perspective of tourists has not been conducted up to the behavior intention, and research is still limited to tourist satisfaction. Research that connects destination sustainability with trust, WoM intention and revisit intention has not been found yet. WoM intention and revisit intention provide a clearer picture than behavioral intention; therefore, this study focuses on WoM intention and revisit intention variables. Destination sustainability research has not been combined with destination quality as an exogenous variable that is able to predict more precisely tourist satisfaction and behavioral intention. Research has not been found on environmental awareness in relation to the sustainability variable and behavior intention. The studies that have been carried out only focus on the effect of environmental awareness on the behavior intention (Gao et al., 2016), and the research has not yet linked it to sustainability.

Several waste bin sanitation initiatives have been introduced in Ghana to address the surge in indiscriminate solid waste disposal in households. What is not known are the behavior factors that determine the acceptability and use of waste bins. This study aimed to identify the determinants of waste bin acceptability and use in Ghana using the theory of planned behavior (TPB).

Data on waste bin acceptability and usage were collected from 881 households in the Volta and Oti regions of Ghana. The data were analyzed using the partial least squares-structural equation modeling technique in SmartPLS 3 software.

The coefficient of determination (R-squared value) of the original TPB and the extended model explained 39.9 and 44.7% of the variance in waste bin acceptability and use intentions, respectively. The results revealed that attitudes (ß = 0.114, t = 3.322, p < 0.001), subjective norms (ß = 0.306, t = 6.979, p < 0.001) and perceived moral obligation (ß = 0.352, t = 8.062, p < 0.001) significantly predicted household waste bin acceptability and use behavior intentions, but perceived behavioral control (ß = −0.003, t = 0.064, p < 0.949) did not influence behavior intentions significantly.

The study provides valuable insights into the behavioral factors to be prioritized by waste management service providers to improve household waste bin acceptability and usage.

This is one of Ghana's first studies investigating the behavioral determinants of waste bin acceptability and usage.

This chapter of the book aims to introduce multiobjective linear programming (MLP) as an optimum tool to find the best quality engineering techniques (QET) in the main domains of supply chain management (SCM). The importance of finding the best quality techniques in SCM elements in the shortest possible time and at the least cost allows all organizations to increase the power of experts’ analysis in supply chain network (SCN) data under cost-effective conditions. In other words, this chapter aims to introduce an operations research model by presenting MLP for obtaining the best QET in the main domains of SCM. MLP is one of the most determinative tools in this chapter that can provide a competitive advantage. Under goal and system constraints, the most challenging task for decision-makers (DMs) is to decide which components to fund and at what levels. The definition of a comprehensive target value among the required goals and determining system constraints is the strength of this chapter. Therefore, this chapter can guide the readers to extract the best statistical and non-statistical techniques with the application of an operations research model through MLP in supply chain elements and shows a new innovation of the effective application of operations research approach in this field. The analytic hierarchy process (AHP) is a supplemental tool in this chapter to facilitate the relevant decision-making process.

Leadership for public sector reforms in Indonesia involves both national level efforts and leadership from local levels that have been empowered by prior decentralization. This chapter focuses on reforms made by the national government, which has been guided by the values of serving public, increasing efficiency and becoming corruption-free. Although the National Development Agency and the Ministry for Administrative Reform provided central impetus and coordination, reforms were seen as quite fragmented across ministries with uneven results. The authors are concerned about reform effectiveness and sustainability. Reform leadership is challenged by human capital and legally mandated but inefficient bureaucratic processes and structures as well as challenges of public distrust and disobedient civil servants. The latter is sometimes dealt with by using patronage to insert allies for reform, and they take note of leaders gaining leverage from working across boundaries and jurisdictions, and by improving their authorizing environment. The chapter describes a strategy of leaders-led efforts that are cascaded through ministries through institutionalization (e.g., of policies) and obtaining support from successive reform champions at different levels and locations. The authors argue for increasing the number of ‘champion leaders’ who pragmatically, transactionally and successfully get subordinates to commit to reform efforts.

The purpose of this research is to determine the competitive advantages of higher education institutions (HEIs) and create a new methodology to rank universities according to the competitive advantages.

The research determines the competitive advantages of HEIs by analysing expert opinions through a semi-structured interview form, matches codes and themes to performance indicators using Saldana's two-cycle coding methods, evaluates content validity through Lawshe and reveals the item weights of the ranking with analytical hierarchy process (AHP). Simple additive weighting (SAW) and Technique for Order of Preference by Similarity (TOPSIS) methods were used for ranking universities.

Seven dimensions stand out in regard to what should be considered while ranking HEIs: research and publication, education, management, infrastructure, financial resources, human resources and social and economic contribution. Under the 7 dimensions, 69 indicators were determined.

The research provides a scientific reference point where HEIs can compare themselves with other HEIs regarding where they are in the sector, especially in terms of competitive advantages.

Although there are many different ranking methods that rank universities in the national and international literature, almost all these methods are largely based on the outputs of the university such as the number of publications, the number of patents, the number of projects, etc. A framework which ranks universities by considering different aspects of the institution, such as management, human resources and financial resources, has not been developed yet. In this respect, this research aims to fill this gap in the literature.

Blockchain technology (BCT) has emerged as a powerful tool for enhancing transparency and trust. However, the relationship between the benefits of BCT and agri-food supply chain performance (AFSCperf) remains underexplored. Therefore, the current study investigates the influence of BCT on AFSCperf and sustainability issues.

Through a comprehensive literature review, various benefits of BCT are identified. Subsequently, a research framework is proposed based on data collected from questionnaire surveys and personal visits to professionals in the agri-food industry. The proposed framework is validated using partial least square structural equation modelling (PLS-SEM).

The findings reveal that BCT positively impacts AFSCperf by improving traceability, transparency, food safety and quality, immutability and trust. Additionally, BCT adoption enhances stakeholder collaboration, provides a decentralised network, improves data accessibility and yields a better return on investment, resulting in the overall improvement in AFSCperf and socio-economic sustainability.

This study offers valuable practical insights for practitioners and academicians, establishing empirical links between the benefits of BCT and AFSCperf and providing a deeper understanding of BCT adoption.

Stakeholders, managers, policymakers and technology providers can leverage these findings to optimise the benefits of BCT in enhancing AFSCperf. Moreover, it utilises rigorous theoretical and empirical approaches, drawing on a multidisciplinary perspective encompassing food operations and supply chain literature, public policy, information technology, strategy, organisational theory and sustainability.

Environmental knowledge management (EKM) has been studied mainly owing to the increasing awareness of environmental issues. Such issues have generated a warning in the tourism industry that has stimulated a new wave of research on EKM. EKM forges landscape characteristics and so destination image. In turn, EKM sounds affecting tourism destination which calls for destination personality which shows a research context less explored. From a knowledge management perspective, The present research aims to investigate on EKM to understand how it leverages tourists' and destination personality.

With the intent of exploring EKM, the research uses a quantitative analysis on a sample of 2,222 young Chinese tourists. In this context, EKM is linked with destination’s personality and tourists’ personalities, their satisfaction with the destination and their behavioral intentions.

By SPSS regression model, EKM and destination personality are positively linked. This positive relationship is also reflected on destination personality and destination satisfaction, behavioral intention.

The authors’ original contribution to the knowledge management literature extends the new wave of research on EKM. The research also proves the need to make a close collaboration between tourists, the local community and marketers. Marketers need to pay more attention to what tourists want to do and see in the place visited. In a nutshell, there is the need of enforcing and promoting EKM.

India has the biggest number of active users on social media platforms, particularly Twitter. The purpose of this paper is to examine public sentiment on COVID-19 vaccines and COVID Appropriate Behaviour (CAB) by text mining (topic modeling) and network analysis supported by thematic modeling.

A sample dataset of 115,000 tweets from the Twitter platform was used to examine the perception of the COVID-19 vaccination and CAB from January 2021 to August 2021. The research applied a machine-learning algorithm and network analysis to extract hidden and latent patterns in unstructured data to identify the most prevalent themes. The COVID-19 Vaccine Hesitancy Amplification Model was formulated, which included five key topics based on sample big data from social media.

The identified themes are Social Media Adaptivity, Lack of Knowledge Providing Mechanism, Perception of Vaccine Safety Measures, Health Care Infrastructure Capabilities and Fear of Coronavirus (Coronaphobia). The study implication assists communication strategists and stakeholders design effective communication strategies using digital platforms. The study reveals CAB themes as with Mask Wearing Issues and Employment Issues as relevant themes discussed on digital channels.

The themes extracted in the present study provide a roadmap for policy-makers and communication experts to utilize social media platforms for communicating and understanding the perception of preventive measures of vaccination and CAB. As evidenced by the increased engagement on social media platforms during the COVID-19-induced lockdown, digital platforms are indeed valuable from the communication perspective to be proactive in the event of a similar situation. Moreover, significant themes, including social media adaptivity, absence of knowledge-providing mechanism and perception of safety measures of the vaccine, are the critical parameters leading to an amplified effect on vaccine hesitancy.

The COVID-19 Vaccine Hesitancy Amplification Themes (CVHAT) equips stakeholders and government strategists with a preconfigured paradigm to tackle dedicated communication campaigns and assess digital community behavior during health emergencies COVID-19.

The increased acceptance of vaccines and the following of CAB decrease the advocacy of mutation of the virus and promote the healthy being of the people. As CAB has been mentioned as a preventive strategy against the COVID-19 pandemic, the research preposition promotes communication intervention which helps to mitigate future such pandemics. As developing, economies require effective communication strategies for vaccine acceptance and CAB, this study contributes to filling the gap using a digital environment.

Chan et al. (2020) recommended using social media platforms for public knowledge dissemination. The study observed that the value of a communication strategy is increased when communication happens using highly trusted and accessible channels such as Twitter and Facebook. With the preceding context, the present study is a novel approach to contribute toward digital communication strategies related to vaccination and CAB.