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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.

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 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.

Introduction: In this study, approaches based on right-tail unit root tests are used to analyze high-frequency time series. Although these approaches successfully capture unusually extreme price movements (bubbles) in financial markets, they can be biased in policymaking and forecasting. Testing the parameter stability enables the detection of both unusual price behavior and possible change points within the framework of the volatility approach. The break dates that cause the parameter change on the return series can be obtained, and the differentiation in the period can be seen.

Purpose: In this study, the analysis of periods that differ from the “changing parameter values” of the volatility process that emerged after November 2018 in the Borsa Istanbul (BIST) is made by using a new econometric approach in terms of change dates, parameter stability, and explosiveness characteristics. In this way, starting from determining periods with stable parameter values, the volatility process is tested to decide whether or not it shows an explosive feature.

Methodology: This study’s mainstay was published in February 2023. The findings reached within the framework of the knowledge provided by the technique in question will be the first in the applied literature. We used a uniform test for a mildly explosive GARCH process with double supreme statistics for BIST.

Findings: BIST is significantly affected by social and political events. This result implies that the “semi-efficient” market hypothesis for BIST needs to be re-examined in this context.

This study aims to evaluate variation of performance metrics involving specific fuel consumption (SFC), thrust, thermal efficiency and overall efficiency values of turboprop engine used in regional aircraft according to varying altitude of 0–9 km and 0.3–0.6 Mach ranges. Moreover, influences of design parameters such as overall pressure ratio (OPR) ranging between 12 and 15 and turbine inlet temperature (TIT) ranging between 1,200 K and 1,400 K regarding the engine are dealt with by using ideal and real codes of parametric cycle equations.

This study is performed based on thermodynamic analysis for real and ideal conditions by means of MATLAB software.

When considering influences of flight conditions, SFC of the PW127-E changes between 6.4 g/kNs and 13.75 g/kNs at ideal conditon whereas changes between 6.9 g/kNs and 14.64 g/kNs at real conditions. Moreover, overall efficiency of the engine varies between 28.3% and 35.5% at ideal, whereas it is found between 12.8% and 18.5% at real condition owing to varying altitude and Mach. On the other hand, with effects of design variables, SFC of the engine changes between 9.59 g/kNs and 10.38 g/kNs at ideal however 11.74 g/kNs and 12.76 g/kNs at real. Lastly, overall efficiency of the engine resides between 30.61% and 33.13% at ideal whereas between 14.37% and 18.61% at real due to varying OPR and TIT variables.

It is expected that this study helps in understanding how to vary performance metrics of the engine according to internal variables and external conditions. Namely, the approach used in present study could benefit the determination of the on-design and off-design performance of the engine in theoretical manner.

The novelty of this study is to present performance analysis of the three-shaft PW127-E turboprop by considering the effect of design parameters and flight conditions on engine performance in ideal and real conditions.

Many end users turn to Google Books and social tagging services to identify books of interest. How successful they are will depend on subject indexing applied in these services (among other factors). The study aimed to determine: (1) to what degree are Queerlit books identified as LGBTQ+ books in widely used information services, in particular Google Books, LibraryThing and Goodreads; and, (2) whether metadata in these information services could be considered of value for the Queerlit database and complement its highly extensive and highly specific indexing.

The study compared keywords (subject index terms, tags) assigned to works of Swedish LGBTQ+ fiction across three commercial services: Google Books, Goodreads and LibraryThing, against the curated database, Queerlit.

Of the 1320 LGBTQ+ works in Queerlit, only a small portion was found in the three web services: 8.26% on Google Books (n = 109), 13.26% on Goodreads (n = 175), while about half on LibraryThing (55.3%, n = 730). This underrepresentation of Swedish LGBTQ+ works in the three international commercial information services makes them hardly of value to the readers. This is exacerbated by the fact that only a minority of Queerlit books found in the three services are categorised as LGBTQ+. The Queerlit database might benefit from consulting social tagging services when indexing both LGBTQ+ specific and general themes.

No earlier study compared in a systematic manner four different information retrieval systems and identified challenges as well as potential benefits in relation to finding LGBTQ+ fiction.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.