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The technology adoption propensity (TAP) index is a parsimonious yet robust tool for measuring an individual’s willingness to accept new technologies. However, further investigation is still needed to evaluate its merits in non-Western countries. With this task in mind, this study assesses the psychometric properties and predictive capabilities of TAP in Turkey.

The researchers utilized an iterative process of forward-backward translation and three rounds of piloting to ensure the cross-cultural, conceptual and linguistic equivalence for the chosen tool. The final survey was conducted online on a convenience sample of 352 academics and in person for 2 other convenience samples that comprised a total of 259 municipal officers and 300 individuals.

TAP’s four-subscale structure was confirmed by a principal component analysis (PCA), and A confirmatory factor analysis (CFA) showed an acceptable fit across all samples. The total composition of the optimism, proficiency, dependence and vulnerability subscales was found to have adequate internal consistency and discriminant validity. Measurement invariance testing further demonstrated that TAP’s factorial organization was invariant across gender, age and income at configural, metric, scalar and strict levels. Finally, logistic and ordinary leas squares (OLS) regression analyses revealed that the TAP scores were predictive of prior technology adoption and use frequency.

Although these results are still preliminary, the confirmation and replication of TAP in Turkey clearly suggest that TAP is a dependable tool for assessing technology readiness that can be utilized well across different cultures.

Just transition is a fundamental concept for supply chain management but neither discipline pays attention to the other and little is known about how supply chains can be orchestrated as socioecological systems to manage these transitions. Building from a wide range of just transition examples, this paper explores just transition to understand how to move beyond instrumental supply chain practices to supply chains functioning in harmony with the planet and its people.

Building from a systematic review of 72 papers, the paper identifies just transition examples while interpreting them through the theoretical lens of supply chain management, providing valuable insights to help research and practice understand how to achieve low-carbon economies through supply chain management in environmentally and socially just ways.

The paper defines, elaborates, and extends the just transition construct by developing a transition taxonomy with two key dimensions. The purpose dimension (profit or shared outcomes) and the governance dimension (government-/industry-led versus civil society-involved), generating four transition archetypes. Most transitions projects are framed around the Euro- and US-centric, capitalist standards of development, leading to coloniality as well as economic and cultural depletion of communities. Framing just transition in accordance with context-specific plural values, the paper provides an alternative perspective to the extractive transition concept. This can guide supply chain management to decarbonise economies and societies by considering the rights of nature, communities and individuals.

Introducing just transition into the supply chain management domain, this paper unifies the various conceptualisations of just transition into a holistic understanding, providing a new foundation for supply chain management research.

This paper investigates the degree of competitiveness within the Turkish cement industry, employing firm-level quarterly data spanning from 2008 to 2016.

To assess the level and trajectory of competition among Turkish cement firms, we employ the Boone indicator (β) as formulated by Boone (2008). This indicator, rooted in the concept of relative profit differences (RPD), serves as a robust metric for gauging competitive dynamics. According to the ß indicator, firms exhibiting higher relative efficiency are expected to secure greater profits and market shares in a fiercely competitive market. Additionally, we utilize concentration indices for the purpose of revealing comparable findings.

Empirical findings reveal that an enhancement in firms' efficiency corresponds to a proportionally modest increase in either market share or profits, implying a lower degree of competition within the Turkish cement industry. Although the specific magnitudes of ß estimates exhibit temporal fluctuations, we may conclude that the Turkish cement industry does not conform to the ideals of perfect competition. The concentration indices calculated on the sample also support this result.

This research is limited to the Turkish cement companies over the period 2008–2016.

The studies measuring the level of competition in the Turkish cement sector are generally based on concentration ratios. In this study, we assess the competition level by using a different methodology based on parametric procedures.

Changes are required to improve the performance of Sharia banking in Indonesia. Using dynamic capability theory, this study aims to analyze organizational learning, change process and change context (OCC) in Bank Syariah Indonesia as influenced by market orientation (competitor and customer orientation) and moderated by religiosity and its impact on organizational performance (Maqashid Sharia) using a multilevel perspective.

To test the hypothesis, this research surveyed by distributing online questionnaires to managers and employees at 62 branch offices of Bank Syariah, the largest Sharia bank in Indonesia. Data processing involved multilevel structural equational modeling with Mplus analysis software.

Market orientation determines an organization’s ability to change significantly, which leads to organizational performance being significantly moderated by religiosity. In OCC, organizational learning influences change context through change processes, ultimately influencing organizational performance (Maqashid Sharia).

This research used a multilevel perspective by combining market orientation and OCC variables moderated by religiosity and its impact on Maqashid Sharia. This study was conducted at the largest Sharia bank in Indonesia, Bank Syariah Indonesia.

The main purpose of this study is to investigate the mediating role of fashion clothing involvement in the relationship between body appreciation and maladaptive consumption, namely fashion-oriented impulse and compulsive buying. The second purpose of this study is to investigate if this mediation varies based on gender.

A quantitative approach was adopted in this study, and data were collected via Amazon Mechanical Turk from 255 consumers located in the U.S. aged 18 and above. The collected data were analyzed using the least partial square and multi-group analysis of the structural equation model.

The results revealed that the relationship between body appreciation and maladaptive consumption is established through fashion clothing involvement. Results also showed that the mediating role of fashion clothing involvement in this relationship does not significantly differ across gender.

This study reports the fully mediating role of fashion clothing involvement in the relationship between body appreciation and maladaptive consumption, highlighting the importance of studying positive body image in the context of fashion and consumption. While previous research findings indicate the negative consequences of negative body image, this research reveals that positive body image can also lead to negative outcomes through possible mediators. Furthermore, this study finds fashion clothing involvement does not differ in mediating the relationship between body appreciation and maladaptive consumption behavior based on gender.

This paper aims to focuses on by investigate the heat transmission and free convective flow of a suspension of nano encapsulated phase change materials (NEPCMs) within an enclosure. Particles of NEPCM have a core-shell structure, with phase change material (PCM) serving as the core.

The enclosure consists of a square chamber with an insulated wall on top and bottom and vertical walls that are differently heated. The governing equations are investigated using the finite element technique. A grid inspection and validation test are done to confirm the precision of the results.

The effects of fusion temperature (varying from 0.1 to 0.9), Stefan number (changing from 0.2 to 0.7), Rayleigh number (varying from 10³ to 10⁶) and volume fraction of NEPCM nanoparticles (changing from 0 to 0.05) on the streamlines, isotherms, heat capacity ratio and average Nusselt number are investigated using graphs and tables. From this investigation, it is found that using a NEPCM nano suspension results in a significant enhancement in heat transfer compared to pure fluid. This augmentation becomes more important for the low Stefan number, which is around 16.57% approximately at 0.2. Secondary recirculation is formed near the upper left corner as a result of non-uniform heating of the left vertical border. This eddy expands notably as the Rayleigh number rises. The study findings indicate that the NEPCM nanosuspension has the potential to act as a smart working fluid, significantly enhancing average Nusselt numbers in enclosed chambers.

The NEPCM particle consists of a core (n-octadecane, a phase-change material) and a shell (PMMA, an encapsulation material). The host fluid water and the NEPCM particles are considered to form a dilute suspension.

Using NEPCMs in energy storage thermal systems show potential for improving heat transfer efficiency in several engineering applications. NEPCMs merge the beneficial characteristics of PCMs with the enhanced thermal conductivity of nanoparticles, providing a flexible alternative for effective thermal energy storage and control.

This paper aims to explore the free convective flow and heat transmission of NEPCM water-type nanofluid in a square chamber with an insulated top boundary, a uniformly heated bottom boundary, a cooled right boundary and a non-uniformly heated left boundary.

The purpose of the study is to evaluate mobile apps developed to prevent food waste from the perspective of responsible production and consumption.

The study employs qualitative methods, and the dataset consists of the 1,382 content and online reviews and comments for 11 mobile apps in addition to 30 in-depth interviews conducted with consumers and restaurant managers/owners using the apps.

Mobile apps are proving to be popular with people, inviting users to fight food waste in a sustainable and responsible way. While users' main motivations for becoming food waste fighters are responsibility, positive emotions and economic sensitivity, restaurants' motivations are different, such as social responsibility, innovative business models, attracting new customers and cost orientation.

Creating digital value and contributing significantly to sustainability in the food industry, mobile apps offer different opportunities to the market. By supporting and encouraging the use of these apps, businesses can reduce food waste, prevent financial losses and offer consumers more choice and variety.

The present study aims to address this lack of empirical research based on a holistic perspective by providing a multidimensional assessment. Such an approach should contribute to a thorough understanding of the motivations that drive users and restaurants to become food waste fighters.

Although cloud storage services can bring users valuable convenience, they can be technically complex and intrinsically insecure. Therefore, this research explores the concerns of academic users regarding cloud security and technical issues and how such problems may influence their continuous use in daily life.

This qualitative study used a semi-structured interview approach comprising six main open-ended questions to explore the information security and technical issues for the continuous use of cloud storage services by 20 undergraduate students in Hong Kong.

The analysis revealed cloud storage service users' major security and technical concerns, particularly synchronization and backup issues, were the most significant technical barrier to the continuing personal use of cloud storage services.

Existing literature has focused on how cloud computing services could bring benefits and security and privacy-related risks to organizations rather than security and technical issues of personal use, especially in the Asian academic context.

This study identifies benefits and challenges of PL partnerships, and recommendations to improve the PL partnership process.

Qualitative data was collected via semi-structured interviews (n = 8) with Irish PL retail buyers (n = 4) and producers (n = 4). Data was coded and thematically analysed.

Three key themes were identified. Theme 1 provides an overview of the benefits of PL partnerships for producers (e.g. volume driven orders, increased efficiencies) and for retailers (e.g. unique products, meeting consumer demand). Theme 2 presents challenges of PL partnerships specific to small and large producers (e.g. small producers may need significant investment to upgrade facilities, while larger producers may require significant volume to justify adaptation of production lines). Challenges common to both (e.g. risks related to short-term contracts, concerns about brand identity) are also discussed. Theme 3 summarised recommendations for successful PL partnerships generally (e.g. setting clear expectations and goals, building rapport and trust), and recommendations specific to producers and buyers specifically (e.g. producers should diversify customers to reduce risk, and retailers should communicate needs and direction).

There is currently limited research on PL partnerships between producers and retailers. This study addresses this gap by identifying key aspects for producers to consider when entering PL partnerships and key aspects for retailers to be aware of to help improve the attractiveness and success of these partnerships.

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.

The Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.

The study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.

This study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.