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This paper aims to identify variables that determine the differing levels of environmental quality on Java and other islands in Indonesia.

Using a quantitative approach, secondary data were sourced from the Central Statistics Agency and the Ministry of Environment and Forestry. The data were obtained through the collection of documentation from 33 provinces in Indonesia. The analytical approach used was discriminant analysis. The research variables are Trade Openness, Foreign Direct Investment (FDI), industry, HDI and population growth.

The variables that distinguish between the levels of environmental quality in Indonesian provinces on the island of Java and on other islands are Industry, HDI, FDI and population growth. The openness variable is not a differentiating variable for environmental quality. The most powerful variable as a differentiator of environmental quality on Java Island and on other islands is the Industry variable.

This study has not classified the quality of the environment based on the Ministry of Environment and Forestry's categories, namely, the very good, good, quite good, poor, very poor and dangerous. For this reason, further research is needed using multiple discriminant analysis (MDA).

Industry is the variable that most strongly distinguishes between levels of environmental quality on Java and other island, while the industrial sector is the largest contributor to gross regional domestic product (GDRP). Government policy to develop green technology is mandatory so that there is no trade-off between industry and environmental quality.

This study is able to identify the differentiating variables of environmental quality in two different groups, on Java and on the other islands of the Indonesian archipelago.

This study aims to reveal the impact of consumers’ price sensitivity on their purchase intention within the scope of supermarkets. Besides, the study aims to examine the impact of consumers’ price sensitivity on their price perception level and emotions and the impact of consumers’ price level perception and emotions toward supermarkets on their purchase intention. It also aims to detect the mediating effects of consumers’ price level perception and emotions toward supermarkets between their price sensitivity and purchase intention.

The quota sampling method was used to form the study sample. The population was 20–69-year-old consumers. The study sample included 513 consumers, 276 of whom were men, and 237 of whom were women. Data were collected via a questionnaire by the researchers in Mersin’s (Turkey) five central counties. Explanatory and confirmatory factor analyses and structural equation models were used to analyze data.

Consumers’ price sensitivity, perception of cheapness, perception of expensiveness and positive emotions toward supermarkets affect their purchase intention. Besides, price sensitivity affects their perception of cheapness while it does not affect their perception of expensiveness. It influences negative emotions, but not on positive emotions. Consumers’ perception of cheapness and perception of expensiveness have impacts on positive emotions toward supermarkets. It was additionally discovered that perception of cheapness and perception of expensiveness affected negative emotions toward supermarkets. A contributed finding was that perception of cheapness had a partial mediating role between price sensitivity and purchase intention.

The study provides managerial implications in terms of understanding consumers’ behavioral changes, developing effective pricing strategies and achieving competitive advantages over the other retailing companies.

The study illustrates that consumer behavior can be explained by a theoretical construct considering the price perception levels and emotions toward supermarkets in examining the effect of consumers’ price sensitivity on their purchase intention. Therefore, it contributes to explain consumers’ behavior by bringing the stimulus–organism–response (SOR) model into a theoretical construct.

本研究旨在揭示在超級市場的研究範疇內，消費者的價格敏感度對其購買意圖的影響。此外，本研究亦擬探討消費者的價格敏感度對其價格水平感知及情緒的影響，以及消費者的價格水平感知及對超級市場的情感對其購買意圖的影響。本研究亦旨在檢測在消費者的價格敏感度與購買意圖之間，其價格水平感知及對超級市場的情感兩者的仲介效果。

本研究用了配額抽樣法來建立研究樣本。研究的對象為20嵗至69嵗的消費者。研究樣本包括513名消費者，其中276人為男性，237人為女性。數據由研究人員透過一項問卷調查在梅爾辛省 (土耳其) 的五個中心縣取得。使用探索性因素分析，驗證性因素分析及結構方程模型來分析數據。

研究結果顯示，消費者的價格敏感度，廉價感，對昂貴的看法及對超級市場的正面情緒，均影響其購買意圖。此外，消費者的價格敏感度會影響其廉價感，唯其對昂貴的看法則不受影響。價格敏感度對負面情緒帶來影響，但正面情緒則不受影響。消費者對廉價的看法及對昂貴的看法均影響他們對超級市場的正面情緒。研究亦發現，廉價感及對昂貴的看法均影響消費者對超級市場的負面情緒。貢獻的發現是：廉價感於價格敏感度與購買意圖之間扮演部分仲介角色。

本研究對管理有其作用。研究結果幫助管理人員更了解消費者行為的改變，發展有效的定價策略，以及比其它零售公司更能發展競爭優勢。

本研究闡明消費者行為是可以利用一個理論構建來說明的，而這個理論構建是透過考慮價格水平感知及對超級市場的情感來探討消費者的價格敏感度對其購買意圖的影響。因此，本研究透過把「刺激 – 機制 – 反應」模型變成為一個理論構建來說明消費者的行為， 在這方面，本研究是有其貢獻的.

Climate change has aroused widespread concern around the world, which is one of the most complex challenges encountered by human beings. The underlying cause of climate change is the increase of carbon emissions. To reduce carbon emissions, the analysis of the factors affecting this type of emission is of practical significance.

This paper identified five factors affecting carbon emissions using the logarithmic mean Divisia index (LMDI) decomposition model (e.g. per capita carbon emissions, industrial structure, energy intensity, energy structure and per capita GDP). Besides, based on the projection pursuit method, this paper obtained the optimal projection directions of five influencing factors in 30 provinces (except for Tibet). Based on the data from 2000 to 2014, the authors predicted the optimal projection directions in the next six years under the Markov transfer matrix.

The results indicated that per capita GDP was the critical factor for reducing carbon emissions. The industrial structure and population intensified carbon emissions. The energy structure had seldom impacted on carbon emissions. The energy intensity obviously inhibited carbon emissions. The best optimal projection direction of each index in the next six years remained stable. Finally, this paper proposed the policy implications.

This paper provides an insight into the current state and the future changes in carbon emissions.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

Fish processing by grilling can produce emissions that contain toxic compounds that can have short- and long-term effects on human health. Another study reported that exposure to air pollutants is hematotoxic. The purpose of this paper is to determine the effect of smoke exposure on fish grill results on hematological parameters.

The subjects of this study were 90 grilled fish sellers, with 32 processed food sellers who did not sell grill food as a control. The hematological analysis was performed using the Hematology Analyzers KX300 instrument.

The results showed that the mean value of hematological parameters in the test group was higher than the control group except for the number of lymphocytes and mixed cell parameters.

The content of harmful compounds contained in fish grill smoke can increase hematological value in the blood of exposed individuals, which has the potential for health problems and disease progression.