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The aim of this article is to research on forestry green total factor productivity and explore the impact of financial support on forestry green total factor productivity.

The methods used in this study are super efficiency SBM model of undesired output and empirical model. SBM model is a kind of Data Envelopment Analysis (DEA). The SBM model with non-expected outputs (slacks-based measure) can be used to deal with the problem of efficiency measurement with multiple input and output variables and can be used to analyze the efficiency of green development of forestry economy.

First, the overall green total factor productivity of the authors’ country's forestry has shown a trend of first decline and then an increase from 2008 to 2018, and there are significant spatiotemporal differences; second, financial support has a significant positive impact on forestry green total factor productivity; third, environmental regulation has a significant threshold effect in the process of financial support on forestry green total factor productivity, and the role of financial support shows a trend of first increasing and then decreasing.

Secondly, taking the data of 30 provinces and cities in the authors’ country from 2008 to 2018 as the research object, using the super-efficiency SBM-Malmquist index to measure the country's forestry green total factor productivity and analyze its temporal and spatial changes; finally, a dynamic panel model was established to explore the impact of financial support on forestry green total factors quantitative impact on productivity, and adding environmental regulation as a threshold variable to establish a dynamic threshold regression, and found that financial support has a nonlinear impact on forestry green total factor productivity.

An easy‐to‐use online information system, WILSONLINE currently provides access to 14 Wilson databases—19 by the end of 1985. The system has undergone extensive test site evaluation, resulting in appropriate enhancements. Pricing is based on a sliding scale—from $25 to $65 per connect hour—not unlike the “service basis” pricing of Wilson print products.

In this chapter, the authors explore the “hidden curriculum” that is enacted when the teaching-self transmits to the learning-self, the being aspects of the teacher. It is proposed that these aspects are communicated through discursive and nondiscursive materials. The latter includes energetic, emotional, and gestural “languages.” An argument is made that the current, modernist conceptions and practices of education that predominantly focus on covering and downloading curriculum materials do not create openings for exploring the being aspects of teachers and learners. Moreover, acknowledging Avraham Cohen's thesis, “We teach who we are, and that's the problem,” the authors explore the hurtful and damaging influence of the teachers' “Shadow materials.” An argument is made for the moral imperative of teachers' (or anyone who is in a position of influencing others) self-study to minimize or prevent hurtful and damaging influences that could have a long-lasting impact on the students' or learners' self-formation. The authors propose the method of inner work, integrated with contemplative inquiry and practices, as a way for educators to work with the materials of consciousness. Inner work largely involves working through psychological projections, introjections, and entanglements that permeate one's inner world. Some details of inner work are offered, including how to facilitate a dialogue between the parts or subselves in one's inner world that are in tension and conflict. It has been further proposed that this kind of inner work would lay the necessary foundation for becoming kinder, caring, and more compassionate human beings.

In the context of Dynamic Factor Models, we compare point and interval estimates of the underlying unobserved factors extracted using small- and big-data procedures. Our paper differs from previous works in the related literature in several ways. First, we focus on factor extraction rather than on prediction of a given variable in the system. Second, the comparisons are carried out by implementing the procedures considered to the same data. Third, we are interested not only on point estimates but also on confidence intervals for the factors. Based on a simulated system and the macroeconomic data set popularized by Stock and Watson (2012), we show that, for a given procedure, factor estimates based on different cross-sectional dimensions are highly correlated. On the other hand, given the cross-sectional dimension, the maximum likelihood Kalman filter and smoother factor estimates are highly correlated with those obtained using hybrid procedures. The PC estimates are somehow less correlated. Finally, the PC intervals based on asymptotic approximations are unrealistically tiny.

The Hanbo (meaning Korean treasure) scandal or “Hanbogate” occurred on January 23, 1997, with the bankruptcy of Hanbo Iron and Steel Company, the second largest steel company and 14th largest conglomerate in South Korea, as its debt had accumulated to US$5.6 billion. Hanbo's bankruptcy triggered an investigation by the Public Prosecutor's Office that resulted in the imprisonment for 15 years of Hanbo's founder, Chung Tae-Soo, for bribing politicians and bankers to pressure banks to extend hugh bank loans to Hanbo. Nine other persons were also convicted including Chung's son, who was jailed for three years for bribery and embezzlement, and Kim Hyun-Chol, the second son of President Kim Young-Sam, who was sentenced to three years jail and fined US$1.5 million (New York Times, 1997).

Points out that the small and cottage industry (SCI) sector is often neglected despite its potential for contributing to economic development, especially in the third world; and reports an investigation of the use of the Bai‐Muajjal (BM) method of financing in the Bangladesh SCI sector. Explains the theoretical basis and methodology of the study, the possible sources of funds for SCI owners, the particular characteristics of Islamic banks and the fund investment methods they offer. Describes the BM lending activities of one such bank with 40 “grass root level” SCIs (poultry farming and handloom industry), which require borrowers to create groups, undergo monitoring and open savings accounts; and assesses their effects on SCI owners’ saving habits and the mobilization of savings towards productive ends. Identifies many social and economic advantages in the BM system and welcomes it as a way to channel savings productively and reduce poverty.

The purpose of this paper is to provide an analytical model for low carbon supplier development. This study is focused on the level of investment and collaboration decisions pertaining to emission reduction.

The authors’ model includes a fuzzy c-means (FCM) clustering algorithm and a fuzzy formal concept analysis. First, a set of suppliers were classified according to their carbon performances through the FCM clustering algorithm. Then, the fuzzy formal concepts were derived from a set of fuzzy formal contexts through an intersection-based method. These fuzzy formal concepts provide the relative level of investments and collaboration decisions for each identified supplier cluster. A case from the Indian renewable energy sector was used for illustration of the proposed analytical model.

The proposed model and case illustration may help manufacturing firms to collaborate with their suppliers for improving their carbon performances.

The study contributes to the low carbon supply chain management literature by identifying the decision criteria of investments toward low carbon supplier development. It also provides an analytical model of collaboration for low carbon supplier development. Though the purpose of the study is to illustrate the proposed analytical model, it would have been better if the model was empirically validated.

Though the earlier studies on green supplier development program evaluation have considered a set of criteria to decide whether or not to invest on suppliers, these are silent on the relative level of investment required for a given set of suppliers. This study aims to fulfill this gap by providing an analytical model that will help a manufacturing firm to invest and collaborate with its suppliers for improving their carbon performance.

The study aims to investigate how attribution theory in the context of pricing strategies can help tourism destinations recover from the negative impacts of the COVID-19 pandemic.

The study adopted a qualitative research design using semi-structured interviews to address the lack of research in this area. Interview participants included tourists and tourism customers. The interview responses were then analyzed using “Nvivo” qualitative data analysis software to identify critical themes regarding applying attribution theory to pricing strategies.

The findings revealed that tourists prefer bundled and hedonic pricing strategies that integrate the service providers' pricing strategies' locus of control, stability and controllability. Tourists do not favor dual pricing strategies unless the reasons for price controllability or stability are justified. Tourists also prefer the controllable pay-what-you-want pricing strategy. Although tourists accept dynamic pricing, certain conditions related to price locus, stability and controllability must be met.

The research shows tourists prefer pricing strategies that give them control and flexibility, like bundled packages and pay-what-you-want models. Service providers should integrate pricing strategies that transparent costs and justify price fluctuations. While dynamic pricing is accepted if necessitated by external factors, tourists are wary of unnecessary price changes. Providers can build trust and satisfaction by explaining pricing rationale and offering controllable options like bundles.

The study contributes to the theory by applying attribution theory to the context of pricing strategies in tourism. It also provides innovative recommendations for tourism managers on how to use pricing strategies after the COVID-19 pandemic. The findings offer new insights that extend beyond previous research.

This study aims to investigate the potential application of Istisna’ financing in Malaysia.

Using primary data from semi-structured interviews with 17 participants, including Islamic financial institutions (IFIs), regulatory body and property development companies, the findings of the study suggest that Istisna’ is perceived as a good contract that has unique features and the potential to be implemented in Malaysia; although, it has only been implemented a little by current businesses, mainly due to its perceived high risks.

The authors find there is a gap between the theory and the actual operation of IFIs in Malaysia – some salient features of an Islamic contract are actually difficult to execute in reality as there are many factors to be considered, such as default risk in Istisna’, legal issues and accounting treatment of Istisna’ contract. This study recommends the further development of Istisna’ in Malaysia due to its huge potential in the Islamic financial market there.

Istisna’ is a unique type of sale contract that is used in the manufacturing sectors where the sale of a commodity is transacted before the commodity exists. In practice, data from the Central Bank of Malaysia show that Istisna’ financing is scarce.

The study differs from previous research studies on Istisna’ – to the best of the authors’ knowledge, this is the first study to provide evidence the real thoughts of IFIs with regard on Istisna’ specifically and IFIs’ operations in general. Previous studies related to Istisna’ have limited scopes, as they have mainly explored the theoretical nature of the contract, issues of permissibility from the Shariah perspective and its comparability with other IFIs product such as Salam. In this study, from respondents’ views, the authors notice actually there is a gap between theory and the real practice of Islamic finance. An Islamic finance instrument may be an ideal choice to customers but not very popular from IFIs’ sides. In this respect, the authors add to the growing literature of Istisna’ by asking the direct questions to IFIs and the authors get honest responses pertaining to default risk, legal issues and accounting treatment.

This research delves into the dynamic realm of app design by examining the impact of app icon familiarity and authority on image fit, influencing users' app usage intention. Focusing on the distinctive circumstances of Chinese and Korean customers, the study aims to provide insightful information about how application user behavior changes.

Utilizing structural equation modeling, the study employs data from 293 Korean and Chinese consumers. The research design incorporates a thoughtful approach, including parallel translation methods, focus group interviews, and pre-experimental testing to ensure survey accuracy and validity. The study strategically selects stimuli from the Apple App Store rankings, emphasizing icon features and type considerations.

The results provide important new information about the connections between usage intention, image fit, authority, and familiarity with app icons. Notably, app icon familiarity and authority positively influence image fit. Furthermore, app icon image fit emerges as a positive predictor of usage intention, mediating the complex interplay between familiarity, authority, and intention. The study also identifies moderating effects, shedding light on the nuanced role of app icon features and types.

Originating from a comprehensive exploration of icons, this study significantly contributes to the field by exploring icon differences and uncovering the intricate mechanisms guiding users' decisions. The findings offer valuable insights for app designers, marketers, and researchers seeking a deeper understanding of user behavior in diverse cultural contexts, thereby enhancing the theoretical and practical foundations in app usability and consumer behavior.